references.bib

%% List:
%% Information Retrieval, Learning&Ranking, Data Envelopment Analysis, Analytic Hierarchy Process
%% ELECTRE/PROMETHEE, Social Network, NeuralNetwork, Optimization, Complexity System, Classifier
%% Feature Engineering, Rank Aggregation, Ensemble Learning, Metric, Math-Stat, Benchmark-Dataset
%% DataStructure

%% Begin<Information Retrieval>
@article{salton1975vector,
  title={A vector space model for automatic indexing},
  author={Salton, Gerard and Wong, Anita and Yang, Chung-Shu},
  journal={Communications of the ACM},
  volume={18},
  number={11},
  pages={613--620},
  year={1975},
  publisher={ACM}
}
@article{robertson1976relevance,
  title={Relevance weighting of search terms},
  author={Robertson, S. E. and Jones, K. Sp{\"{a}}rck},
  journal={Journal of the American Society for Information Science},
  volume={27},
  number={3},
  pages={129–146},
  year={1976},
}
@article{dempster1977maximum,
  title={Maximum likelihood from incomplete data via the EM algorithm},
  author={Dempster, Arthur P and Laird, Nan M and Rubin, Donald B},
  journal={Journal of the Royal Statistical Society. Series B (Methodological)},
  pages={1--38},
  year={1977},
  publisher={JSTOR}
}
@book{jain1991art,
  title={The art of computer systems performance analysis},
  author={Jain, Raj},
  volume={182},
  year={1991},
  publisher={John Wiley \& Sons Chichester}
}
@article{robertson1996okapi,
  title={Okapi at TREC-3},
  author={Robertson, Stephen E. and Walker, Steve and Jones, Susan and Hancock-Beaulieu, Micheline and Gatford, Mike},
  journal={Overview of the Third Text Retrieval Conference},
  pages={109--126},
  year={1996}
}
@article{ponte1998language,
  title={A Language Modeling Approach to Information Retrieval},
  author={Ponte, Jay M. and Croft, W. Bruce},
  journal={Research \& Development in Information Retrieval},
  pages={275--281},
  year={1998}
}
@book{baeza1999modern,
  title={Modern information retrieval},
  author={Baeza-Yates, Ricardo and Ribeiro-Neto, Berthier},
  volume={463},
  year={1999},
  publisher={ACM press New York}
}
@inproceedings{abiteboul2003adaptive,
  title={Adaptive on-line page importance computation},
  author={Abiteboul, Serge and Preda, Mihai and Cobena, Gregory},
  booktitle={Proceedings of the 12th international conference on World Wide Web},
  pages={280--290},
  year={2003},
  organization={ACM}
}
@inproceedings{vishwanathan2006accelerated,
  title={Accelerated training of conditional random fields with stochastic gradient methods},
  author={Vishwanathan, SVN and Schraudolph, Nicol N and Schmidt, Mark W and Murphy, Kevin P},
  booktitle={Proceedings of the 23rd international conference on Machine learning},
  pages={969--976},
  year={2006},
  organization={ACM}
}
@article{friedman2007pathwise,
  title={Pathwise coordinate optimization},
  author={Friedman, Jerome and Hastie, Trevor and H{\"o}fling, Holger and Tibshirani, Robert},
  journal={The Annals of Applied Statistics},
  volume={1},
  number={2},
  pages={302--332},
  year={2007},
  publisher={Institute of Mathematical Statistics}
}
@article{metzler2007linear,
  title={Linear feature-based models for information retrieval},
  author={Metzler, Donald and Bruce Croft, W},
  journal={Information Retrieval},
  volume={10},
  number={3},
  pages={257--274},
  year={2007},
  publisher={Springer}
}
@article{jing2008visualrank,
  title={Visualrank: Applying pagerank to large-scale image search},
  author={Jing, Yushi and Baluja, Shumeet},
  journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on},
  volume={30},
  number={11},
  pages={1877--1890},
  year={2008},
  publisher={IEEE}
}
@article{wang2008multiple,
  title={多策略融合的搭配抽取方法},
  author={王大亮 and 涂序彦 and 郑雪峰 and 佟子健},
  journal={清华大学学报(自然科学版)},
  volume={4},
  pages={608--612},
  year={2008}
}
@misc{borman2009expectation,
  title={The expectation maximization algorithm-a short tutorial},
  author={Borman, Sean},
  year={2009}
}
@book{robertson2009probabilistic,
  title={The probabilistic relevance framework: BM25 and beyond},
  author={Robertson, Stephen and Zaragoza, Hugo},
  volume={3},
  year={2009},
  publisher={Now Publishers Inc}
}
@article{perez2009integrating,
  title={Integrating the probabilistic models BM25/BM25F into Lucene},
  author={P{\'e}rez-Iglesias, Joaqu{\'\i}n and P{\'e}rez-Ag{\"u}era, Jos{\'e} R and Fresno, V{\'\i}ctor and Feinstein, Yuval Z},
  journal={arXiv preprint arXiv:0911.5046},
  year={2009}
}
%% End<Information Retrieval>

%% Begin<Learning&Ranking>
@article{hoerl1970ridge,
  title={Ridge regression: Biased estimation for nonorthogonal problems},
  author={Hoerl, Arthur E and Kennard, Robert W},
  journal={Technometrics},
  volume={12},
  number={1},
  pages={55--67},
  year={1970},
  publisher={Taylor \& Francis Group}
}
@inproceedings{cooper1992probabilistic,
  title={Probabilistic retrieval based on staged logistic regression},
  author={Cooper, William S and Gey, Fredric C and Dabney, Daniel P},
  booktitle={Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval},
  pages={198--210},
  year={1992},
  organization={ACM}
}
@article{polyak1992acceleration,
  title={Acceleration of stochastic approximation by averaging},
  author={Polyak, Boris T and Juditsky, Anatoli B},
  journal={SIAM Journal on Control and Optimization},
  volume={30},
  number={4},
  pages={838--855},
  year={1992},
  publisher={SIAM}
}
@article{brin1998anatomy,
  title={The anatomy of a large-scale hypertextual Web search engine},
  author={Brin, Sergey and Page, Lawrence},
  journal={Computer networks and ISDN systems},
  volume={30},
  number={1},
  pages={107--117},
  year={1998},
  publisher={Elsevier}
}
@article{herbrich1999large,
  title={Large margin rank boundaries for ordinal regression},
  author={Herbrich, Ralf and Graepel, Thore and Obermayer, Klaus},
  journal={Advances in Neural Information Processing Systems},
  pages={115--132},
  year={1999},
  publisher={MIT}
}
@techreport{page1999pagerank,
  title={The PageRank citation ranking: bringing order to the web},
  author={Page, Lawrence and Brin, Sergey and Motwani, Rajeev and Winograd, Terry},
  number={Technical Report 1999-0120},
  year={1999},
  institution={Computer Science Department, Stanford University}
}
@article{kleinberg1999authoritative,
  title={Authoritative sources in a hyperlinked environment},
  author={Kleinberg, Jon M},
  journal={Journal of the ACM (JACM)},
  volume={46},
  number={5},
  pages={604--632},
  year={1999},
  publisher={ACM}
}
@article{lempel2000stochastic,
  title={The stochastic approach for link-structure analysis (SALSA) and the TKC effect},
  author={Lempel, Ronny and Moran, Shlomo},
  journal={Computer Networks},
  volume={33},
  number={1},
  pages={387--401},
  year={2000},
  publisher={Elsevier}
}
@article{lempel2001salsa,
  title={SALSA: the stochastic approach for link-structure analysis},
  author={Lempel, Ronny and Moran, Shlomo},
  journal={ACM Transactions on Information Systems (TOIS)},
  volume={19},
  number={2},
  pages={131--160},
  year={2001},
  publisher={ACM}
}
@article{crammer2001pranking,
  title={Pranking with ranking},
  author={Crammer, Koby and Singer, Yoram},
  journal={Advances in neural information processing systems},
  volume={14},
  pages={641--647},
  year={2001}
}
@inproceedings{jeh2002simrank,
  title={SimRank: a measure of structural-context similarity},
  author={Jeh, Glen and Widom, Jennifer},
  booktitle={Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={538--543},
  year={2002},
  organization={ACM}
}
@inproceedings{joachims2002optimizing,
  title={Optimizing search engines using clickthrough data},
  author={Joachims, Thorsten},
  booktitle={Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={133--142},
  year={2002},
  organization={ACM}
}
@inproceedings{haveliwala2002topic,
  title={Topic-sensitive pagerank},
  author={Haveliwala, Taher H},
  booktitle={Proceedings of the 11th international conference on World Wide Web},
  pages={517--526},
  year={2002},
  organization={ACM}
}
@article{freund2003efficient,
  title={An efficient boosting algorithm for combining preferences},
  author={Freund, Yoav and Iyer, Raj and Schapire, Robert E and Singer, Yoram},
  journal={The Journal of Machine Learning Research},
  volume={4},
  pages={933--969},
  year={2003},
  publisher={JMLR. org}
}
@inproceedings{gyongyi2004combating,
  title={Combating web spam with trustrank},
  author={Gy{\"o}ngyi, Zolt{\'a}n and Garcia-Molina, Hector and Pedersen, Jan},
  booktitle={Proceedings of the Thirtieth international conference on Very large data bases-Volume 30},
  pages={576--587},
  year={2004},
  organization={VLDB Endowment}
}
@inproceedings{fogaras2005scaling,
  title={Scaling link-based similarity search},
  author={Fogaras, D{\'a}niel and R{\'a}cz, Bal{\'a}zs},
  booktitle={Proceedings of the 14th international conference on World Wide Web},
  pages={641--650},
  year={2005},
  organization={ACM}
}
@article{trotman2005learning,
  title={Learning to rank},
  author={Trotman, Andrew},
  journal={Information Retrieval},
  volume={8},
  number={3},
  pages={359--381},
  year={2005},
  publisher={Springer}
}
@inproceedings{burges2005learning,
  title={Learning to rank using gradient descent},
  author={Burges, Chris and Shaked, Tal and Renshaw, Erin and Lazier, Ari and Deeds, Matt and Hamilton, Nicole and Hullender, Greg},
  booktitle={Proceedings of the 22nd international conference on Machine learning},
  pages={89--96},
  year={2005},
  organization={ACM}
}
@inproceedings{joachims2006training,
  title={Training linear SVMs in linear time},
  author={Joachims, Thorsten},
  booktitle={Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={217--226},
  year={2006},
  organization={ACM}
}
@incollection{yan2006efficient,
  title={Efficient margin-based rank learning algorithms for information retrieval},
  author={Yan, Rong and Hauptmann, Alexander G},
  booktitle={Image and Video Retrieval},
  pages={113--122},
  year={2006},
  publisher={Springer}
}
@inproceedings{cao2006adapting,
  title={Adapting ranking SVM to document retrieval},
  author={Cao, Yunbo and Xu, Jun and Liu, Tie-Yan and Li, Hang and Huang, Yalou and Hon, Hsiao-Wuen},
  booktitle={Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval},
  pages={186--193},
  year={2006},
  organization={ACM}
}
@inproceedings{weimer2007cofirank,
    author = {Weimer, Markus and Karatzoglou, Alexandros and Le, Quoc V. and Smola, Alex J.},
    booktitle = {NIPS},
    editor = {Platt, John C. and Koller, Daphne and Singer, Yoram and Roweis, Sam T.},
    publisher = {MIT Press},
    title = {COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking},
    year = {2007}
}
@inproceedings{zheng2007regression,
  title={A regression framework for learning ranking functions using relative relevance judgments},
  author={Zheng, Zhaohui and Chen, Keke and Sun, Gordon and Zha, Hongyuan},
  booktitle={Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval},
  pages={287--294},
  year={2007},
  organization={ACM}
}
@inproceedings{tsai2007frank,
  title={FRank: a ranking method with fidelity loss},
  author={Tsai, Ming-Feng and Liu, Tie-Yan and Qin, Tao and Chen, Hsin-Hsi and Ma, Wei-Ying},
  booktitle={Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval},
  pages={383--390},
  year={2007},
  organization={ACM}
}
@article{peserico2007does,
  title={What does it mean to converge in rank},
  author={Peserico, Enoch and Pretto, Luca},
  journal={Proc. of ICTIR},
  pages={239--245},
  year={2007}
}
@inproceedings{li2007mcrank,
  author={Ping Li and Christopher J. C. Burges and Qiang Wu},
  title={McRank: Learning to Rank Using Multiple Classification and Gradient Boosting},
  booktitle={NIPS'07},
  year={2007},
}
@inproceedings{burges2007learning,
  title={Learning to rank with nonsmooth cost functions},
  author={Burges, Christopher JC and Ragno, Robert and Le, Quoc Viet},
  booktitle={Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference},
  volume={19},
  pages={193},
  year={2007},
  organization={The MIT Press}
}
@inproceedings{xu2007adarank,
  title={AdaRank: a boosting algorithm for information retrieval},
  author={Xu, Jun and Li, Hang},
  booktitle={Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval},
  pages={391--398},
  year={2007},
  organization={ACM}
}
@inproceedings{cao2007learning,
  title={Learning to rank: from pairwise approach to listwise approach},
  author={Cao, Zhe and Qin, Tao and Liu, Tie-Yan and Tsai, Ming-Feng and Li, Hang},
  booktitle={Proceedings of the 24th international conference on Machine learning},
  pages={129--136},
  year={2007},
  organization={ACM}
}
@inproceedings{yue2007support,
  title={A support vector method for optimizing average precision},
  author={Yue, Yisong and Finley, Thomas and Radlinski, Filip and Joachims, Thorsten},
  booktitle={Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval},
  pages={271--278},
  year={2007},
  organization={ACM}
}
@article{zheng2007general,
  title={A general boosting method and its application to learning ranking functions for web search},
  author={Zheng, Zhaohui and Zha, Hongyuan and Zhang, Tong and Chapelle, Olivier and Chen, Keke and Sun, Gordon},
  journal={Advances in neural information processing systems},
  volume={20},
  pages={1697--1704},
  year={2007}
}
@inproceedings{yeh2007learning,
  title={Learning to rank for information retrieval using genetic programming},
  author={Yeh, Jen-Yuan and Lin, Jung-Yi and Ke, Hao-Ren and Yang, Wei-Pang},
  booktitle={Proceedings of SIGIR 2007 Workshop on Learning to Rank for Information Retrieval (LR4IR 2007)},
  year={2007}
}
@inproceedings{chakrabarti2008structured,
  title={Structured learning for non-smooth ranking losses},
  author={Chakrabarti, Soumen and Khanna, Rajiv and Sawant, Uma and Bhattacharyya, Chiru},
  booktitle={Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={88--96},
  year={2008},
  organization={ACM}
}
@article{lizorkin2008accuracy,
  title={Accuracy estimate and optimization techniques for simrank computation},
  author={Lizorkin, Dmitry and Velikhov, Pavel and Grinev, Maxim and Turdakov, Denis},
  journal={Proceedings of the VLDB Endowment},
  volume={1},
  number={1},
  pages={422--433},
  year={2008},
  publisher={VLDB Endowment}
}
@article{antonellis2008simrank++,
  title={Simrank++: Query rewriting through link analysis of the click graph},
  author={Antonellis, Ioannis and Molina, Hector Garcia and Chang, Chi Chao},
  journal={Proceedings of the VLDB Endowment},
  volume={1},
  number={1},
  pages={408--421},
  year={2008},
  publisher={VLDB Endowment}
}
@article{qin2008query,
  title={Query-level loss functions for information retrieval},
  author={Qin, Tao and Zhang, Xu-Dong and Tsai, Ming-Feng and Wang, De-Sheng and Liu, Tie-Yan and Li, Hang},
  journal={Information Processing \& Management},
  volume={44},
  number={2},
  pages={838--855},
  year={2008},
  publisher={Elsevier}
}
@inproceedings{taylor2008softrank,
  title={Softrank: optimizing non-smooth rank metrics},
  author={Taylor, Michael and Guiver, John and Robertson, Stephen and Minka, Tom},
  booktitle={Proceedings of the international conference on Web search and web data mining},
  pages={77--86},
  year={2008},
  organization={ACM}
}
@inproceedings{xia2008listwise,
  title={Listwise approach to learning to rank: theory and algorithm},
  author={Xia, Fen and Liu, Tie-Yan and Wang, Jue and Zhang, Wensheng and Li, Hang},
  booktitle={Proceedings of the 25th international conference on Machine learning},
  pages={1192--1199},
  year={2008},
  organization={ACM}
}
@inproceedings{xu2008directly,
  title={Directly optimizing evaluation measures in learning to rank},
  author={Xu, Jun and Liu, Tie-Yan and Lu, Min and Li, Hang and Ma, Wei-Ying},
  booktitle={Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval},
  pages={107--114},
  year={2008},
  organization={ACM}
}
@inproceedings{duh2008beyond,
  title={Beyond log-linear models: boosted minimum error rate training for N-best Re-ranking},
  author={Duh, Kevin and Kirchhoff, Katrin},
  booktitle={Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers},
  pages={37--40},
  year={2008},
  organization={Association for Computational Linguistics}
}
@article{rigutini2008sortnet,
  title={Sortnet: Learning to rank by a neural-based sorting algorithm},
  author={Rigutini, Leonardo and Papini, Tiziano and Maggini, Marco and Scarselli, Franco},
  volume={22},
  journal = {IEEE Transactions on Neural Networks},
  issue = {9},
  pages = {1368--1380},
  year={2008}
}
@inproceedings{jin2008ranking,
  title={Ranking refinement and its application to information retrieval},
  author={Jin, Rong and Valizadegan, Hamed and Li, Hang},
  booktitle={Proceedings of the 17th international conference on World Wide Web},
  pages={397--406},
  year={2008},
  organization={ACM}
}
@inproceedings{amini2008boosting,
  title={A boosting algorithm for learning bipartite ranking functions with partially labeled data},
  author={Amini, Massih-Reza and Truong, Tuong-Vinh and Goutte, Cyril},
  booktitle={Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2008},
  year={2008}
}
@inproceedings{volkovs2009boltzrank,
  title={Boltzrank: learning to maximize expected ranking gain},
  author={Volkovs, Maksims N and Zemel, Richard S},
  booktitle={Proceedings of the 26th Annual International Conference on Machine Learning},
  pages={1089--1096},
  year={2009},
  organization={ACM}
}
@inproceedings{zhu2009general,
  title={A general magnitude-preserving boosting algorithm for search ranking},
  author={Zhu, Chenguang and Chen, Weizhu and Zhu, Zeyuan Allen and Wang, Gang and Wang, Dong and Chen, Zheng},
  booktitle={Proceedings of the 18th ACM conference on Information and knowledge management},
  pages={817--826},
  year={2009},
  organization={ACM}
}
@article{liu2009learning,
  title={Learning to rank for information retrieval},
  author={Liu, Tie-Yan},
  journal={Foundations and Trends in Information Retrieval},
  volume={3},
  number={3},
  pages={225--331},
  year={2009},
  publisher={Now Publishers Inc.}
}
@article{valizadegan2009learning,
  title={Learning to rank by optimizing ndcg measure},
  author={Valizadegan, Hamed and Jin, Rong and Zhang, Ruofei and Mao, Jian chang},
  journal={Advances in Neural Information Processing Systems},
  volume={22},
  pages={1883--1891},
  year={2009},
  publisher={Citeseer}
}
@book{hastie2009elements,
  title={The elements of statistical learning: data mining, inference and prediction},
  author={Hastie, Trevor and Tibshirani, Robert and Friedman, Jerome},
  volume={2},
  year={2009},
  publisher={Springer}
}
@article{pahikkala2009efficient,
  title={An efficient algorithm for learning to rank from preference graphs},
  author={Pahikkala, Tapio and Tsivtsivadze, Evgeni and Airola, Antti and J{\"a}rvinen, Jouni and Boberg, Jorma},
  journal={Machine Learning},
  volume={75},
  number={1},
  pages={129--165},
  year={2009},
  publisher={Springer}
}
@inproceedings{kuo2009learning,
  title={Learning to rank from bayesian decision inference},
  author={Kuo, Jen-Wei and Cheng, Pu-Jen and Wang, Hsin-Min},
  booktitle={Proceedings of the 18th ACM conference on Information and knowledge management},
  pages={827--836},
  year={2009},
  organization={ACM}
}
@inproceedings{sculley2009large,
  title={Large scale learning to rank},
  author={Sculley, D},
  booktitle={NIPS Workshop on Advances in Ranking},
  pages={1--6},
  year={2009}
}
@article{bahmani2010fast,
  title={Fast incremental and personalized pagerank},
  author={Bahmani, Bahman and Chowdhury, Abdur and Goel, Ashish},
  journal={Proceedings of the VLDB Endowment},
  volume={4},
  number={3},
  pages={173--184},
  year={2010},
  publisher={VLDB Endowment}
}
@inproceedings{sculley2010combined,
  title={Combined regression and ranking},
  author={Sculley, D},
  booktitle={Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={979--988},
  year={2010},
  organization={ACM}
}
@article{qin2010letor,
  title={LETOR: A benchmark collection for research on learning to rank for information retrieval},
  author={Qin, Tao and Liu, Tie-Yan and Xu, Jun and Li, Hang},
  journal={Information Retrieval},
  volume={13},
  number={4},
  pages={346--374},
  year={2010},
  publisher={Springer}
}
@techreport{burges2010from,
  title={From ranknet to lambdarank to lambdamart: An overview},
  author={Burges, Chris},
  number={MSR-TR-2010-82},
  year={2010},
  institution={Microsoft Research}
}
@article{chapelle2010efficient,
  title={Efficient algorithms for ranking with SVMs},
  author={Chapelle, Olivier and Keerthi, S Sathiya},
  journal={Information Retrieval},
  volume={13},
  number={3},
  pages={201--215},
  year={2010},
  publisher={Springer}
}
@inproceedings{moon2010intervalrank,
  title={IntervalRank: isotonic regression with listwise and pairwise constraints},
  author={Moon, Taesup and Smola, Alex and Chang, Yi and Zheng, Zhaohui},
  booktitle={Proceedings of the third ACM international conference on Web search and data mining},
  pages={151--160},
  year={2010},
  organization={ACM}
}
@inproceedings{wang2010learning,
  title={Learning to efficiently rank},
  author={Wang, Lidan and Lin, Jimmy and Metzler, Donald},
  booktitle={Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval},
  pages={138--145},
  year={2010},
  organization={ACM}
}
@incollection{bottou2010large,
  title={Large-scale machine learning with stochastic gradient descent},
  author={Bottou, L{\'e}on},
  booktitle={Proceedings of COMPSTAT'2010},
  pages={177--186},
  year={2010},
  publisher={Springer}
}
@article{chen2010learning,
  title={Learning to Blend by Relevance},
  author={Chen, Jiang and Chu, Wei and Kou, Zhenzhen and Zheng, Zhaohui},
  journal={arXiv preprint arXiv:1001.4597},
  year={2010}
}
@article{franceschet2011pagerank,
  title={PageRank: Standing on the shoulders of giants},
  author={Franceschet, Massimo},
  journal={Communications of the ACM},
  volume={54},
  number={6},
  pages={92--101},
  year={2011},
  publisher={ACM}
}
@book{liu2011learning,
  title={Learning to rank for information retrieval},
  author={Liu, Tie-Yan},
  volume={13},
  year={2011},
  publisher={Springer}
}
@article{li2011learning,
  title={Learning to rank for information retrieval and natural language processing},
  author={Li, Hang},
  journal={Synthesis Lectures on Human Language Technologies},
  volume={4},
  number={1},
  pages={1--113},
  year={2011},
  publisher={Morgan \& Claypool Publishers}
}
@article{chapelle2011yahoo,
  title={Yahoo! learning to rank challenge overview},
  author={Chapelle, Olivier and Chang, Yi},
  journal={Journal of Machine Learning Research-Proceedings Track},
  volume={14},
  pages={1--24},
  year={2011}
}
@inproceedings{busa2011ranking,
  title={Ranking by calibrated AdaBoost},
  author={Busa-Fekete, R{\'o}bert and K{\'e}gl, Bal{\'a}zs and {\'E}lteto, Tam{\'a}s and Szarvas, Gy{\"o}rgy},
  booktitle={Yahoo! Learning to Rank Challenge},
  year={2011}
}
@inproceedings{mohan2011web,
  title={Web-search ranking with initialized gradient boosted regression trees},
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@book{wu2012math,
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@inproceedings{kao2013machine,
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%% End<Learning&Ranking>

%% Begin<Data Envelopment Analysis>
@article{charnes1957management,
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@article{charnes1989cone,
  title={Cone ratio data envelopment analysis and multi-objective programming},
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@article{cook1990data,
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@article{ali1990data,
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}
@article{seiford1990recent,
  title={Recent developments in DEA: the mathematical programming approach to frontier analysis},
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  pages={7--38},
  year={1990},
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@article{cook1990dea,
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@article{roll1991controlling,
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}
@article{cook1991multiple,
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  pages={191--198},
  year={1991},
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}
@article{cook1992prioritization,
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  number={2},
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@book{ganley1992public,
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@article{doyle1994efficiency,
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@article{sinuany1994academic,
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@article{yu1996generalized,
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@article{troutt1996potential,
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  number={4},
  pages={405--408},
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@article{athanassopoulos1996comparison,
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@article{green1996preference,
  title={Preference voting and project ranking using DEA and cross-evaluation},
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  number={3},
  pages={461--472},
  year={1996},
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@techreport{coelli1996guide,
  title={A guide to DEAP version 2.1: a data envelopment analysis (computer) program},
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  number={08},
  year={1996},
  institution={CEPA working paper}
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@article{cooper1997measures,
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@article{barr1997parallel,
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@article{zhu1998data,
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  author={Zhu, Joe},
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  number={1},
  pages={50--61},
  year={1998},
  publisher={Elsevier}
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@article{seiford1998acceptance,
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  pages={329--332},
  year={1998},
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@article{sinuany1998dea,
  title={DEA and the discriminant analysis of ratios for ranking units},
  author={Sinuany-Stern, Zilla and Friedman, Lea},
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  number={3},
  pages={470--478},
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@article{zhang1999project,
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@article{lovell1999radial,
  title={Radial DEA models without inputs or without outputs},
  author={Lovell, CA and Pastor, Jes{\'u}s T},
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@misc{cooper2000dea,
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@article{wei2000inverse,
  title={An inverse DEA model for inputs/outputs estimate},
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@article{li2000ranking,
  title={对决策单元进行排序的一种方法},
  author={李果 and 沈晓勇 and 王应明},
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  number={4},
  pages={51--53},
  year={2000},
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@article{premachandra2001note,
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  author={Premachandra, I M},
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  number={3},
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@inproceedings{sohn2001ensemble,
  title={Ensemble based on data envelopment analysis},
  author={Sohn, So Young and Choi, Hong},
  booktitle={ECML Meta Learning workshop},
  volume={53},
  year={2001}
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@techreport{tavares2001atchebycheff,
  title={A Tchebycheff DEA MODEL},
  author={Tavares, Gabriel and Antunes, Carlos Henggeler},
  number={RRR35-2001},
  year={2001},
  institution={Rutgers Center for Operational Research, Rutgers University}
}
@article{adler2002review,
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  number={2},
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  year={2002},
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@article{kalvelagen2002efficiently,
  title={Efficiently solving DEA models with GAMS},
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@article{lovell2003equivalent,
  title={Equivalent standard DEA models to provide super-efficiency scores},
  author={Lovell, CAK and Rouse, APB},
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  volume={54},
  number={1},
  pages={101--108},
  year={2003},
  publisher={Nature Publishing Group}
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@article{li2003dea,
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  author={李亮 and 崔晋川},
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  volume={18},
  number={6},
  year={2003}
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@book{wei2004dea,
  title={数据包络分析},
  author={魏权龄},
  year={2004},
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@article{yun2004generalized,
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@article{kao2005dea,
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@article{jahanshahloo2005note,
  title={A note on some of DEA models and finding efficiency and complete ranking using common set of weights},
  author={Jahanshahloo, GR and Memariani, A and Lotfi, F Hosseinzadeh and Rezai, HZ},
  journal={Applied Mathematics and Computation},
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@article{pendharkar2005data,
  title={A data envelopment analysis-based approach for data preprocessing},
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@article{ramanathan2006data,
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@article{chen2007ranking,
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@article{cook2007within,
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@article{liu2008ranking,
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@article{de2008cross,
  title={Cross evaluation using weight restrictions in unitary input DEA models: theoretical aspects and application to Olympic Games ranking},
  author={De Mello, Jo{\~a}o Carlos Correia Baptista Soares and Gomes, Eliane Gon{\c{c}}alves and Meza, Lidia Angulo and Neto, Luiz Biondi},
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  publisher={World Scientific and Engineering Academy and Society (WSEAS)}
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@article{liu2008rankingdea,
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  volume={35},
  number={5},
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@article{wang2008integrated,
  title={An integrated AHP--DEA methodology for bridge risk assessment},
  author={Wang, Ying-Ming and Liu, Jun and Elhag, Taha},
  journal={Computers \& Industrial Engineering},
  volume={54},
  number={3},
  pages={513--525},
  year={2008},
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@article{ertugrul2008improved,
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  volume={46},
  number={24},
  pages={6933--6944},
  year={2008},
  publisher={Taylor \& Francis}
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@article{amin2008note,
  title={A note on “an improved MCDM DEA model for technology selection”},
  author={Amin, Gholam R},
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  volume={46},
  number={24},
  pages={7073--7075},
  year={2008},
  publisher={Taylor \& Francis}
}
@article{po2009cluster,
  title={A new clustering approach using data envelopment analysis},
  author={Po, R.W. and Guh, Y.Y. and Yang, M.S.},
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  number={1},
  pages={276--284},
  year={2009},
  publisher={Elsevier}
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@inproceedings{song2009oil,
  title={Oil refining enterprise performance evaluation based on DEA and SVM},
  author={Song, Jiekun and Zhang, Zaixu},
  booktitle={Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on},
  pages={401--404},
  year={2009},
  organization={IEEE}
}
@article{toloo2009discover,
  title={A new method for ranking discovered rules from data mining by DEA},
  author={Toloo, M. and Sohrabi, B. and Nalchigar, S.},
  journal={Expert Systems with Applications},
  volume={36},
  number={4},
  pages={8503--8508},
  year={2009},
  publisher={Elsevier}
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@article{emrouznejad2009combined,
  title={A combined neural network and DEA for measuring efficiency of large scale datasets},
  author={Emrouznejad, Ali and Shale, Estelle},
  journal={Computers \& Industrial Engineering},
  volume={56},
  number={1},
  pages={249--254},
  year={2009},
  publisher={Elsevier}
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@article{chen2009procedure,
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  pages={1813--1824},
  year={2009},
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@article{wu2009achievement,
  title={Achievement and benchmarking of countries at the Summer Olympics using cross efficiency evaluation method},
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  volume={197},
  number={2},
  pages={722--730},
  year={2009},
  publisher={Elsevier}
}
@article{de2009ranking,
  title={A ranking for the Olympic Games with unitary input DEA models},
  author={De Mello, Jo{\~a}o Carlos CB Soares and Angulo-Meza, Lidia and Da Silva, Brenda P Branco},
  journal={IMA Journal of Management Mathematics},
  volume={20},
  number={2},
  pages={201--211},
  year={2009},
  publisher={IMA}
}
@article{wang2009new,
  title={A new data envelopment analysis method for priority determination and group decision making in the analytic hierarchy process},
  author={Wang, Ying-Ming and Chin, Kwai-Sang},
  journal={European Journal of Operational Research},
  volume={195},
  number={1},
  pages={239--250},
  year={2009},
  publisher={Elsevier}
}
@article{llamazares2009preference,
  title={Preference aggregation and DEA: An analysis of the methods proposed to discriminate efficient candidates},
  author={Llamazares, Bonifacio and Pe{\~n}a, Teresa},
  journal={European Journal of Operational Research},
  volume={197},
  number={2},
  pages={714--721},
  year={2009},
  publisher={Elsevier}
}
@article{amin2009optimal,
  title={Optimal solution of technology selection model: a computational efficient form},
  author={Amin, Gholam R},
  journal={The International Journal of Advanced Manufacturing Technology},
  volume={43},
  number={9-10},
  pages={1046--1050},
  year={2009},
  publisher={Springer}
}
@article{amin2009finding,
  title={Finding relevant search engines results: a minimax linear programming approach},
  author={Amin, Gholam R and Emrouznejad, Ali},
  journal={Journal of the Operational Research Society},
  volume={61},
  number={7},
  pages={1144--1150},
  year={2009},
  publisher={Nature Publishing Group}
}
@article{dula2011algorithm,
  title={An algorithm for data envelopment analysis},
  author={Dul{\'a}, JH},
  journal={INFORMS Journal on Computing},
  volume={23},
  number={2},
  pages={284--296},
  year={2011},
  publisher={INFORMS}
}
@article{pendharkar2011hybrid,
  title={A hybrid radial basis function and data envelopment analysis neural network for classification},
  author={Pendharkar, P.C.},
  journal={Computers \& Operations Research},
  volume={38},
  number={1},
  pages={256--266},
  year={2011},
  publisher={Elsevier}
}
@article{yan2011dea,
  title={Data envelopment analysis classification machine},
  author={Yan, H. and Wei, Q.},
  journal={Information Sciences},
  volume={181},
  number={22},
  pages={5029--5041},
  year={2011},
  publisher={Elsevier}
}
@book{cooper2011handbook,
  title={Handbook on data envelopment analysis},
  author={Cooper, W.W. and Seiford, L.M. and Zhu, J.},
  year={2011},
  publisher={Springer}
}
@book{cooper2011data,
  title={Data envelopment analysis: History, models, and interpretations},
  author={Cooper, William W and Seiford, Lawrence M and Zhu, Joe},
  year={2011},
  publisher={Springer}
}
@article{bazleh2011new,
  title={A New Approach Using Data Envelopment Analysis for Ranking Classification Algorithms},
  author={Bazleh, A and Gholami, P and Soleymani, F},
  journal={Journal of Mathematics and Statistics},
  volume={7},
  year={2011}
}
@book{kostrzewa2011data,
  title={Data Envelopment Analysis Without Input or Output},
  author={Kostrzewa, Karolina. and Okninski, Andrzej and Radzszewski, Boguslaw},
  pages={185--197},
  year={2011},
  publisher={AGH University of Science and Technolgoy Press}
}
@article{rita2011ranking,
  title={RANKING EFFICIENT AND INEFFICIENT DECISION MAKING UNITS IN DATA ENVELOPMENT ANALYSIS},
  author={Markovits-Somogyi, Rita},
  journal={International Journal for Traffic \& Transport Engineering},
  volume={1},
  number={4},
  pages={245--255},
  year={2011}
}
@article{liu2011study,
  title={A study of DEA models without explicit inputs},
  author={Liu, WB and Zhang, DQ and Meng, W and Li, XX and Xu, F},
  journal={Omega},
  volume={39},
  number={5},
  pages={472--480},
  year={2011},
  publisher={Elsevier}
}
@article{payan2011modified,
  title={A modified common set of weights method to complete ranking DMUs},
  author={Payan, A and Lotfi, F Hosseinzadeh and Noora, AA and Khodabakhshi, M},
  journal={interpretation},
  volume={1},
  pages={1},
  year={2011}
}
@article{eftekhary2012ranking,
  title={Ranking Normalization Methods for Improving the Accuracy of SVM Algorithm by DEA Method},
  author={Eftekhary, Maysam and Gholami, Peyman and Safari, Saeed and Shojaee, Mohammad},
  journal={Modern Applied Science},
  volume={6},
  number={10},
  pages={p26},
  year={2012}
}
@article{tosun2012using,
  title={Using data envelopment analysis--neural network model to evaluate hospital efficiency},
  author={Tosun, Omur},
  journal={International Journal of Productivity and Quality Management},
  volume={9},
  number={2},
  pages={245--257},
  year={2012},
  publisher={Inderscience}
}
@article{bougnol2012interior,
  title={Interior point methods in DEA to determine non-zero multiplier weights},
  author={Bougnol, ML and Dul{\'a}, JH and Rouse, P},
  journal={Computers \& Operations Research},
  volume={39},
  number={3},
  pages={698--708},
  year={2012},
  publisher={Elsevier}
}
@article{rezai2012ranking,
  title={Ranking efficient DMUs using the Tchebycheff norm},
  author={Rezai Balf, F and Zhiani Rezai, H and Jahanshahloo, GR and Hosseinzadeh Lotfi, F},
  journal={Applied Mathematical Modelling},
  volume={36},
  number={1},
  pages={46--56},
  year={2012},
  publisher={Elsevier}
}
@article{rezaie2013integrated,
  title={An Integrated Modeling Based on Data Envelopment Analysis and Support Vector Machines: A Case Modeling of Tehran Social Security Insurance Organization},
  author={Rezaie, V and Ahmad, T and Daneshfard, C and Khanmohammadi, M and Nejatian, S},
  journal={World Applied Sciences Journal},
  volume={21},
  pages={138--142},
  year={2013}
}
@article{jiang2013supplier,
  title={Supplier’s Efficiency and Performance Evaluation using DEA-SVM Approach},
  author={Jiang, Bo and Chen, Wei and Zhang, Hua and Pan, Weifeng},
  journal={Journal of Software},
  volume={8},
  number={1},
  pages={25--30},
  year={2013}
}
%% End<Data Envelopment Analysis>

%% Begin<Analytic Hierarchy Process>
@article{saaty1977scaling,
  title={A scaling method for priorities in hierarchical structures},
  author={Saaty, Thomas L},
  journal={Journal of mathematical psychology},
  volume={15},
  number={3},
  pages={234--281},
  year={1977},
  publisher={Elsevier}
}
@article{alexander1977forward,
  title={The forward and backward processes of conflict analysis},
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}
@article{saaty1980analytic,
  title={The analytic hierarchy process: planning, priority setting, resources allocation},
  author={Saaty, Thomas L},
  journal={M cGraw-H ill},
  year={1980}
}
@misc{xu1988ahp,
  title={实用决策方法: 层次分析法原理},
  author={许树柏},
  year={1988},
  publisher={天津: 天津大学出版社}
}
@article{saaty1998diagnosis,
  title={Diagnosis with dependent symptoms: Bayes theorem and the analytic hierarchy process},
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@article{saaty2003decision,
  title={Decision-making with the AHP: Why is the principal eigenvector necessary},
  author={Saaty, Thomas L},
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  volume={145},
  number={1},
  pages={85--91},
  year={2003},
  publisher={Elsevier}
}
@article{saaty2007analytic,
  title={The analytic hierarchy process and human resource allocation: Half the story},
  author={Saaty, Thomas L and Peniwati, Kirti and Shang, Jen S},
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  volume={46},
  number={7},
  pages={1041--1053},
  year={2007},
  publisher={Elsevier}
}
@inproceedings{de2010search,
  title={Search Engine Result Aggregation using Analytical Hierarchy Process},
  author={De, Arijit and Diaz, Elizabeth and Raghavan, Vijay V},
  booktitle={Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on},
  volume={3},
  pages={300--303},
  year={2010},
  organization={IEEE}
}
@inproceedings{guo2012personalized,
  title={Personalized Tweet Ranking Based on AHP: A Case Study of Micro-blogging Message Ranking in T. Sina},
  author={Guo, Yuhong and Kang, Li and Shi, Tie},
  booktitle={Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology-Volume 03},
  pages={159--163},
  year={2012},
  organization={IEEE Computer Society}
}
@article{ercsan2012use,
  title={THE USE OF ANALYTIC HIERARCHY PROCESS FOR PREDICTION},
  author={Er{\c{s}}an, {\.I}brahim and Haydar, Ali},
  journal={Academic Research International},
  volume={2},
  number={3},
  pages={138--141},
  year={2012}
}
%% End<Analytic Hierarchy Process>

%% Begin<ELECTRE/PROMETHEE>
@article{benayoun1966manual,
  title={Manual de reference du programme electre},
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@article{roy1968classement,
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@article{roy1971methode,
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@inproceedings{bertier1973methode,
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@incollection{brans2005promethee,
  title={PROMETHEE methods},
  author={Brans, Jean-Pierre and Mareschal, Bertrand},
  booktitle={Multiple criteria decision analysis: state of the art surveys},
  pages={163--186},
  year={2005},
  publisher={Springer}
}
%% End<ELECTRE/PROMETHEE>

%% Begin<Recommendation System>
@inproceedings{breese1998empirical,
  title={Empirical analysis of predictive algorithms for collaborative filtering},
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@inproceedings{hofmann1999probabilistic,
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}
@inproceedings{sarwar2001item,
  title={Item-based collaborative filtering recommendation algorithms},
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  pages={285--295},
  year={2001},
  organization={ACM}
}
@inproceedings{huang2002graph,
  title={A graph-based recommender system for digital library},
  author={Huang, Zan and Chung, Wingyan and Ong, Thian-Huat and Chen, Hsinchun},
  booktitle={Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries},
  pages={65--73},
  year={2002},
  organization={ACM}
}
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  title={Latent dirichlet allocation},
  author={Blei, David M and Ng, Andrew Y and Jordan, Michael I},
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  year={2003},
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}
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  volume={7},
  number={5},
  pages={503--515},
  year={2003},
  publisher={IEEE}
}
@article{huang2004graph,
  title={A graph model for E-commerce recommender systems},
  author={Huang, Zan and Chung, Wingyan and Chen, Hsinchun},
  journal={Journal of the American Society for information science and technology},
  volume={55},
  number={3},
  pages={259--274},
  year={2004},
  publisher={Wiley Online Library}
}
@article{hofmann2004latent,
  title={Latent semantic models for collaborative filtering},
  author={Hofmann, Thomas},
  journal={ACM Transactions on Information Systems (TOIS)},
  volume={22},
  number={1},
  pages={89--115},
  year={2004},
  publisher={ACM}
}
@article{lemire2005slope,
  title={Slope one predictors for online rating-based collaborative filtering},
  author={Lemire, Daniel and Maclachlan, Anna},
  journal={Society for Industrial Mathematics},
  volume={5},
  pages={471--480},
  year={2005}
}
@phdthesis{zhu2005semi,
  title={Semi-supervised learning with graphs},
  author={Zhu, Xiaojin and Lafferty, John and Rosenfeld, Ronald},
  year={2005},
  school={Carnegie Mellon University, Language Technologies Institute, School of Computer Science}
}
@article{fouss2007random,
  title={Random-walk computation of similarities between nodes of a graph with application to collaborative recommendation},
  author={Fouss, Francois and Pirotte, Alain and Renders, J-M and Saerens, Marco},
  journal={Knowledge and data engineering, ieee transactions on},
  volume={19},
  number={3},
  pages={355--369},
  year={2007},
  publisher={IEEE}
}
@inproceedings{bell2007scalable,
  title={Scalable collaborative filtering with jointly derived neighborhood interpolation weights},
  author={Bell, Robert M and Koren, Yehuda},
  booktitle={Data Mining, 2007. ICDM 2007. Seventh IEEE International Conference on},
  pages={43--52},
  year={2007},
  organization={IEEE}
}
@article{de2007iterative,
  title={Iterative filtering for a dynamical reputation system},
  author={De Kerchove, Cristobald and Van Dooren, Paul},
  journal={arXiv preprint arXiv:0711.3964},
  year={2007}
}
@article{de2008reputation,
  title={Reputation systems and optimization},
  author={De Kerchove, Cristobald and Van Dooren, Paul},
  journal={Siam News},
  volume={41},
  number={2},
  pages={1--3},
  year={2008}
}
@article{tong2008random,
  title={Random walk with restart: fast solutions and applications},
  author={Tong, Hanghang and Faloutsos, Christos and Pan, Jia-Yu},
  journal={Knowledge and Information Systems},
  volume={14},
  number={3},
  pages={327--346},
  year={2008},
  publisher={Springer}
}
@inproceedings{koren2008factorization,
  title={Factorization meets the neighborhood: a multifaceted collaborative filtering model},
  author={Koren, Yehuda},
  booktitle={Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={426--434},
  year={2008},
  organization={ACM}
}
@incollection{singh2008unified,
  title={A unified view of matrix factorization models},
  author={Singh, Ajit P and Gordon, Geoffrey J},
  booktitle={Machine Learning and Knowledge Discovery in Databases},
  pages={358--373},
  year={2008},
  publisher={Springer}
}
@article{koren2009bellkor,
  title={The bellkor solution to the netflix grand prize},
  author={Koren, Yehuda},
  journal={Netflix prize documentation},
  volume={81},
  year={2009}
}
@article{liu2009personalizedrs,
  title={个性化推荐系统的研究进展},
  author={刘建国 and 周涛 and 汪秉宏},
  journal={自然科学进展},
  volume={19},
  number={1},
  pages={1--15},
  year={2009}
}
@incollection{gao2009personalized,
  title={Personalized context-aware collaborative filtering based on neural network and slope one},
  author={Gao, Min and Wu, Zhongfu},
  booktitle={Cooperative Design, Visualization, and Engineering},
  pages={109--116},
  year={2009},
  publisher={Springer}
}
@inproceedings{wang2009personalized,
  title={A Personalized Recommendation Algorithm Combining Slope One Scheme and User Based Collaborative Filtering},
  author={Wang, Pu and Ye, HongWu},
  booktitle={Industrial and Information Systems, 2009. IIS'09. International Conference on},
  pages={152--154},
  year={2009},
  organization={IEEE}
}
@inproceedings{zhang2009item,
  title={An item-based collaborative filtering recommendation algorithm using slope one scheme smoothing},
  author={Zhang, DeJia},
  booktitle={Electronic Commerce and Security, 2009. ISECS'09. Second International Symposium on},
  volume={2},
  pages={215--217},
  year={2009},
  organization={IEEE}
}
@inproceedings{jamali2009trustwalker,
  title={Trustwalker: a random walk model for combining trust-based and item-based recommendation},
  author={Jamali, Mohsen and Ester, Martin},
  booktitle={Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={397--406},
  year={2009},
  organization={ACM}
}
@book{jannach2010recommender,
  title={Recommender systems: an introduction},
  author={Jannach, Dietmar and Zanker, Markus and Felfernig, Alexander and Friedrich, Gerhard},
  year={2010},
  publisher={Cambridge University Press}
}
@inproceedings{shi2010list,
  title={List-wise learning to rank with matrix factorization for collaborative filtering},
  author={Shi, Yue and Larson, Martha and Hanjalic, Alan},
  booktitle={Proceedings of the fourth ACM conference on Recommender systems},
  pages={269--272},
  year={2010},
  organization={ACM}
}
@incollection{koren2011advances,
  title={Advances in collaborative filtering},
  author={Koren, Yehuda and Bell, Robert},
  booktitle={Recommender systems handbook},
  pages={145--186},
  year={2011},
  publisher={Springer}
}
@inproceedings{sun2011one,
  title={One real-time personalized recommendation systems based on Slope One algorithm},
  author={Sun, Zilei and Luo, Nianlong and Kuang, Wei},
  booktitle={Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on},
  volume={3},
  pages={1826--1830},
  year={2011},
  organization={IEEE}
}
@article{fujiwara2012fast,
  title={Fast and exact top-k search for random walk with restart},
  author={Fujiwara, Yasuhiro and Nakatsuji, Makoto and Onizuka, Makoto and Kitsuregawa, Masaru},
  journal={Proceedings of the VLDB Endowment},
  volume={5},
  number={5},
  pages={442--453},
  year={2012},
  publisher={VLDB Endowment}
}
@article{zhu2012recmetric,
  title={推荐系统评价指标综述},
  author={朱郁筱 and 吕琳媛},
  journal={电子科技大学学报},
  volume={41},
  number={2},
  pages={163--175},
  year={2012}
}
%% End<Recommendation System>

%% Begin<Social Network>
@inproceedings{sun2005neighborhood,
  title={Neighborhood formation and anomaly detection in bipartite graphs},
  author={Sun, Jimeng and Qu, Huiming and Chakrabarti, Deepayan and Faloutsos, Christos},
  booktitle={Data Mining, Fifth IEEE International Conference on},
  pages={8--pp},
  year={2005},
  organization={IEEE}
}
@inproceedings{li2008mining,
  title={Mining user similarity based on location history},
  author={Li, Quannan and Zheng, Yu and Xie, Xing and Chen, Yukun and Liu, Wenyu and Ma, Wei-Ying},
  booktitle={Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems},
  pages={34},
  year={2008},
  organization={ACM}
}
@inproceedings{xiao2010finding,
  title={Finding similar users using category-based location history},
  author={Xiao, Xiangye and Zheng, Yu and Luo, Qiong and Xie, Xing},
  booktitle={Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems},
  pages={442--445},
  year={2010},
  organization={ACM}
}
@article{zheng2010geolife,
  title={GeoLife: A collaborative social networking service among user, location and trajectory},
  author={Zheng, Yu and Xie, Xing and Ma, Wei-Ying},
  journal={IEEE Data Engineering Bulletin},
  volume={33},
  number={2},
  pages={32--40},
  year={2010},
  publisher={Citeseer}
}
@inproceedings{gretarsson2010smallworlds,
  title={Smallworlds: Visualizing social recommendations},
  author={Gretarsson, Brynjar and O'Donovan, John and Bostandjiev, Svetlin and Hall, Christopher and H{\"o}llerer, Tobias},
  booktitle={Computer Graphics Forum},
  volume={29},
  pages={833--842},
  year={2010},
  organization={Wiley Online Library}
}
@inproceedings{roth2010suggesting,
  title={Suggesting friends using the implicit social graph},
  author={Roth, Maayan and Ben-David, Assaf and Deutscher, David and Flysher, Guy and Horn, Ilan and Leichtberg, Ari and Leiser, Naty and Matias, Yossi and Merom, Ron},
  booktitle={Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={233--242},
  year={2010},
  organization={ACM}
}
@article{bhattacharyya2011analysis,
  title={Analysis of user keyword similarity in online social networks},
  author={Bhattacharyya, Prantik and Garg, Ankush and Wu, Shyhtsun Felix},
  journal={Social network analysis and mining},
  volume={1},
  number={3},
  pages={143--158},
  year={2011},
  publisher={Springer}
}
@article{zheng2011recommending,
  title={Recommending friends and locations based on individual location history},
  author={Zheng, Yu and Zhang, Lizhu and Ma, Zhengxin and Xie, Xing and Ma, Wei-Ying},
  journal={ACM Transactions on the Web (TWEB)},
  volume={5},
  number={1},
  pages={5},
  year={2011},
  publisher={ACM}
}
@inproceedings{yao2011context,
  title={Context-based friend suggestion in online photo-sharing community},
  author={Yao, Ting and Ngo, Chong-Wah and Mei, Tao},
  booktitle={Proceedings of the 19th ACM international conference on Multimedia},
  pages={945--948},
  year={2011},
  organization={ACM}
}
@inproceedings{bian2012matchmaker,
  title={MatchMaker: A friend recommendation system through TV character matching},
  author={Bian, Li and Holtzman, Henry and Huynh, Tuan and Montpetit, M},
  booktitle={Consumer Communications and Networking Conference (CCNC), 2012 IEEE},
  pages={714--718},
  year={2012},
  organization={IEEE}
}
%% End<Social Network>

%% Begin<NeuralNetwork>
@article{mcculloch1943logical,
  title={A logical calculus of the ideas immanent in nervous activity},
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  pages={115--133},
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}
@techreport{rosenblatt1957perceptron,
  title={The perceptron: A perceiving and recognizing automation},
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  year={1957}
}
@inproceedings{widrow1960adaptive,
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@phdthesis{werbos1974beyond,
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@article{kohonen1982self,
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@article{hinton2002training,
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@article{hinton2006reducing,
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@article{huang2006extreme,
  title={Extreme learning machine: theory and applications},
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  year={2006},
  publisher={Elsevier}
}
%% End<NeuralNetwork>

%% Begin<Math>
@phdthesis{karush1939minima,
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@article{karnopp1963random,
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@article{powell1964efficient,
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@book{dhrymes1978mathematics,
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%% End<Math>

%% Begin<Complexity System>
@article{deng1982control,
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@incollection{paun2006introduction,
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@article{zhang2010nature,
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@article{kayacan2010grey,
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@article{escuela2010application,
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  year={2010}
}
@article{preis2010complex,
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@article{sprenger2010tweets,
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@article{bollen2011twitter,
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@incollection{huang2012evolutionary,
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  year={2012},
  publisher={Springer}
}
%% End<Complexity System>

%% Begin<Classifier>
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%% End<Classifier>

%% Begin<Feature Engineering>
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%% End<Feature Engineering>

%% Begin<Rank Aggregation>
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%% End<Rank Aggregation>

%% Begin<Ensemble Learning>
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  publisher={Springer}
}
@incollection{cunningham2000diversity,
  title={Diversity versus quality in classification ensembles based on feature selection},
  author={Cunningham, Padraig and Carney, John},
  booktitle={Machine Learning: ECML 2000},
  pages={109--116},
  year={2000},
  publisher={Springer}
}
@article{freund2001adaptive,
  title={An adaptive version of the boost by majority algorithm},
  author={Freund, Yoav},
  journal={Machine learning},
  volume={43},
  number={3},
  pages={293--318},
  year={2001},
  publisher={Springer}
}
@article{friedman2001greedy,
  title={Greedy function approximation: a gradient boosting machine.(English summary)},
  author={Friedman, Jerome H},
  journal={Ann. Statist},
  volume={29},
  number={5},
  pages={1189--1232},
  year={2001}
}
@article{breiman2001random,
  title={Random forests},
  author={Breiman, Leo},
  journal={Machine learning},
  volume={45},
  number={1},
  pages={5--32},
  year={2001},
  publisher={Springer}
}
@article{zhou2002ensembling,
  title={Ensembling neural networks: many could be better than all},
  author={Zhou, Zhi-Hua and Wu, Jianxin and Tang, Wei},
  journal={Artificial intelligence},
  volume={137},
  number={1},
  pages={239--263},
  year={2002},
  publisher={Elsevier}
}
@article{duffy2002boosting,
  title={Boosting methods for regression},
  author={Duffy, Nigel and Helmbold, David},
  journal={Machine Learning},
  volume={47},
  number={2-3},
  pages={153--200},
  year={2002},
  publisher={Springer}
}
@article{friedman2002stochastic,
  title={Stochastic gradient boosting},
  author={Friedman, Jerome H},
  journal={Computational Statistics \& Data Analysis},
  volume={38},
  number={4},
  pages={367--378},
  year={2002},
  publisher={Elsevier}
}
@article{kuncheva2002experimental,
  title={An experimental study on diversity for bagging and boosting with linear classifiers},
  author={Kuncheva, Ludmila I and Skurichina, Marina and Duin, Robert PW},
  journal={Information fusion},
  volume={3},
  number={4},
  pages={245--258},
  year={2002},
  publisher={Elsevier}
}
@article{kuncheva2003measures,
  title={Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy},
  author={Kuncheva, Ludmila I and Whitaker, Christopher J},
  journal={Machine learning},
  volume={51},
  number={2},
  pages={181--207},
  year={2003},
  publisher={Springer}
}
@article{bryll2003attribute,
  title={Attribute bagging: improving accuracy of classifier ensembles by using random feature subsets},
  author={Bryll, Robert and Gutierrez-Osuna, Ricardo and Quek, Francis},
  journal={Pattern recognition},
  volume={36},
  number={6},
  pages={1291--1302},
  year={2003},
  publisher={Elsevier}
}
@article{tsymbal2005diversity,
  title={Diversity in search strategies for ensemble feature selection},
  author={Tsymbal, Alexey and Pechenizkiy, Mykola and Cunningham, P{\'a}draig},
  journal={Information fusion},
  volume={6},
  number={1},
  pages={83--98},
  year={2005},
  publisher={Elsevier}
}
@incollection{sorokina2007additive,
  title={Additive groves of regression trees},
  author={Sorokina, Daria and Caruana, Rich and Riedewald, Mirek},
  booktitle={Machine Learning: ECML 2007},
  pages={323--334},
  year={2007},
  publisher={Springer}
}
%% End<Ensemble Learning>

%% Begin<Metric>
@article{spearman1904proof,
  title={The proof and measurement of association between two things},
  author={Spearman, Charles},
  journal={The American journal of psychology},
  volume={15},
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@article{spearman1904general,
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  publisher={JSTOR}
}
@article{kendall1938new,
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@article{hamming1950error,
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@article{hanely1982meaning,
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@inproceedings{chu1996search,
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@article{bradley1997use,
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@unpublished{gwizdka1999towards,
  title={Towards information retrieval measures for evaluation of Web search engines},
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}
@inproceedings{voorhees1999trec,
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  year={1999}
}
@article{dagan1999similarity,
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}
@inproceedings{jarvelin2000ir,
  title={IR evaluation methods for retrieving highly relevant documents},
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  pages={41--48},
  year={2000},
  organization={ACM}
}
@article{jarvelin2002cumulated,
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  author={J{\"a}rvelin, Kalervo and Kek{\"a}l{\"a}inen, Jaana},
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  year={2002},
  publisher={ACM}
}
@article{xing2002distance,
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  pages={505--512},
  year={2002}
}
@inproceedings{fang2005exploration,
  title={An exploration of axiomatic approaches to information retrieval},
  author={Fang, Hui and Zhai, ChengXiang},
  booktitle={Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval},
  pages={480--487},
  year={2005},
  organization={ACM}
}
@inproceedings{davis2006relationship,
  title={The relationship between Precision-Recall and ROC curves},
  author={Davis, Jesse and Goadrich, Mark},
  booktitle={Proceedings of the 23rd international conference on Machine learning},
  pages={233--240},
  year={2006},
  organization={ACM}
}
@inproceedings{tao2007exploration,
  title={An exploration of proximity measures in information retrieval},
  author={Tao, Tao and Zhai, ChengXiang},
  booktitle={Annual ACM Conference on Research and Development in Information Retrieval: Proceedings of the 30 th annual international ACM SIGIR conference on Research and development in information retrieval},
  volume={23},
  pages={295--302},
  year={2007}
}
@article{cha2007comprehensive,
  title={Comprehensive survey on distance/similarity measures between probability density functions},
  author={Cha, Sung-Hyuk},
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  volume={1},
  number={2},
  pages={1},
  year={2007}
}
@incollection{lenz2008proximities,
  title={Proximities in statistics: Similarity and distance},
  author={Lenz, Hans-J},
  booktitle={Preferences and Similarities},
  pages={161--177},
  year={2008},
  publisher={Springer}
}
@unpublished{fang2009evaluation,
  title={Evaluation of the Default Similarity Function in Lucene},
  author={Fang, Hui and Zhai, ChengXiang},
  note={Retrieved from http://www.eecis.udel.edu/\~hfang/lucene/lucene\_exp.pdf},
  year={2009}
}
@inproceedings{chapelle2009expected,
  title={Expected reciprocal rank for graded relevance},
  author={Chapelle, Olivier and Metlzer, Donald and Zhang, Ya and Grinspan, Pierre},
  booktitle={Proceedings of the 18th ACM conference on Information and knowledge management},
  pages={621--630},
  year={2009},
  organization={ACM}
}
@inproceedings{gulin2009pfound,
  title={Yandex at ROMIP'2009: optimization of ranking algorithms by machine learning methods},
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  pages={163--168},
  year={2009}
}
@inproceedings{kumar2010generalized,
  title={Generalized distances between rankings},
  author={Kumar, Ravi and Vassilvitskii, Sergei},
  booktitle={Proceedings of the 19th international conference on World wide web},
  pages={571--580},
  year={2010},
  organization={ACM}
}
@article{farnoud2012novel,
  title={Novel Distance Measures for Vote Aggregation},
  author={Farnoud, Farzad and Touri, Behrouz and Milenkovic, Olgica},
  journal={arXiv preprint arXiv:1203.6371},
  year={2012}
}
%% End<Metric>

%% Begin<Math-Stat>
@article{hadamard1902problemes,
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}
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}
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}
@article{stigler1945cost,
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}
@article{wilcoxon1945individual,
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  year={1947},
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}
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@inproceedings{sherman1949adjustment,
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@inproceedings{cook1971complexity,
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@article{pan1998note,
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@article{stewart2000decompositional,
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@article{rockmore2000fft,
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  publisher={IEEE}
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@article{parlett2000qr,
  title={The QR algorithm},
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@article{board2000fast,
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@article{bailey2000integer,
  title={Integer relation detection},
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@article{Lehmann2001Theory,
  title={Theory of Point Estimation},
  author={Lehmann, E. L. and Casella, George},
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@article{efron2004least,
  title={Least angle regression},
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@book{kullback2012information,
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@article{li2012statlearning,
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@article{poczos2012copula,
  title={Copula-based kernel dependency measures},
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  year={2012}
}
@article{helfgott2013major,
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}
@article{bogdan2013statistical,
  title={Statistical estimation and testing via the ordered L1 norm},
  author={Bogdan, Malgorzata and Berg, Ewout van den and Su, Weijie and Candes, Emmanuel},
  journal={arXiv preprint arXiv:1310.1969},
  year={2013}
}
%% End<Math-Stat>

%% Begin<Benchmark-Dataset>
@inproceedings{hersh1994ohsumed,
  title={OHSUMED: an interactive retrieval evaluation and new large test collection for research},
  author={Hersh, William and Buckley, Chris and Leone, TJ and Hickam, David},
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  pages={192--201},
  year={1994},
  organization={Springer}
}
@inproceedings{voorhees2001overview,
  title={Overview of TREC 2001},
  author={Voorhees, Ellen M and Harman, Donna},
  booktitle={Proceedings of TREC},
  volume={2001},
  year={2001}
}
@inproceedings{craswell2003overview,
  title={Overview of the TREC 2003 web track},
  author={Craswell, Nick and Hawking, David and Wilkinson, Ross and Wu, Mingfang},
  booktitle={Proceedings of TREC},
  volume={2003},
  year={2003}
}
%% End<Benchmark-Dataset>

%% Begin<DataStructure>
@article{jaja2000perspective,
  title={A perspective on quicksort},
  author={JaJa, Joseph},
  journal={Computing in Science \& Engineering},
  volume={2},
  number={1},
  pages={43--49},
  year={2000},
  publisher={IEEE}
}
@article{padua2000fortran,
  title={The fortran I compiler},
  author={Padua, David},
  journal={Computing in Science \& Engineering},
  volume={2},
  number={1},
  pages={70--75},
  year={2000},
  publisher={IEEE}
}
@techreport{cai2003vips,
  title={VIPS: a visionbased page segmentation algorithm},
  author={Cai, Deng and Yu, Shipeng and Wen, Ji-Rong and Ma, Wei-Ying},
  number={MSR-TR-2003-79},
  year={2003},
  institution={Microsoft Research}
}
@article{khare2004nutch,
  title={Nutch: A flexible and scalable open-source web search engine},
  author={Khare, Rohit and Cutting, Doug and Sitaker, Kragen and Rifkin, Adam},
  journal={Oregon State University},
  year={2004}
}
@article{dean2008mapreduce,
  title={MapReduce: simplified data processing on large clusters},
  author={Dean, Jeffrey and Ghemawat, Sanjay},
  journal={Communications of the ACM},
  volume={51},
  number={1},
  pages={107--113},
  year={2008},
  publisher={ACM}
}
@article{bast2012broccoli,
  title={Broccoli: Semantic full-text search at your fingertips},
  author={Bast, Hannah and B{\"a}urle, Florian and Buchhold, Bj{\"o}rn and Haussmann, Elmar},
  journal={arXiv preprint arXiv:1207.2615},
  year={2012}
}
%% End<DataStructure>

@article{jiang2015dearank,
  year={2015},
  issn={0885-6125},
  journal={Machine Learning},
  volume={101},
  number={1-3},
  doi={10.1007/s10994-014-5442-3},
  title={DEARank: a data-envelopment-analysis-based ranking method},
  url={http://dx.doi.org/10.1007/s10994-014-5442-3},
  publisher={Springer US},
  author={Jiang, Chunheng and Lin, Wenbin},
  pages={415-435}
}