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RecSys.bib
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RecSys.bib
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% Encoding: UTF-8
@InProceedings{Yan:2017:YAY:3109859.3109923,
author = {Yan, Zhixian and Wei, Lai and Lu, Yunshan and Wu, Zhongqiang and Tao, Bo},
title = {You Are What Apps You Use: Transfer Learning for Personalized Content and Ad Recommendation},
booktitle = {Proceedings of the Eleventh ACM Conference on Recommender Systems},
year = {2017},
series = {RecSys '17},
pages = {350--350},
address = {New York, NY, USA},
publisher = {ACM},
acmid = {3109923},
doi = {10.1145/3109859.3109923},
isbn = {978-1-4503-4652-8},
keywords = {personalized recommendation, transfer learning, user profile},
location = {Como, Italy},
numpages = {1},
url = {http://doi.acm.org/10.1145/3109859.3109923},
}
@InProceedings{Wang:2018:RPU:3269206.3271739,
author = {Wang, Hongwei and Zhang, Fuzheng and Wang, Jialin and Zhao, Miao and Li, Wenjie and Xie, Xing and Guo, Minyi},
title = {RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems},
booktitle = {Proceedings of the 27th ACM International Conference on Information and Knowledge Management},
year = {2018},
series = {CIKM '18},
pages = {417--426},
address = {New York, NY, USA},
publisher = {ACM},
acmid = {3271739},
doi = {10.1145/3269206.3271739},
isbn = {978-1-4503-6014-2},
keywords = {knowledge graph, preference propagation, recommender systems},
location = {Torino, Italy},
numpages = {10},
url = {http://doi.acm.org/10.1145/3269206.3271739},
}
@Misc{wu2018sessionbased,
author = {Shu Wu and Yuyuan Tang and Yanqiao Zhu and Liang Wang and Xing Xie and Tieniu Tan},
title = {Session-based Recommendation with Graph Neural Networks},
year = {2018},
archiveprefix = {arXiv},
eprint = {1811.00855},
primaryclass = {cs.IR},
}
@InProceedings{Wu:2017:RRN:3018661.3018689,
author = {Wu, Chao-Yuan and Ahmed, Amr and Beutel, Alex and Smola, Alexander J. and Jing, How},
title = {Recurrent Recommender Networks},
booktitle = {Proceedings of the Tenth ACM International Conference on Web Search and Data Mining},
year = {2017},
series = {WSDM '17},
pages = {495--503},
address = {New York, NY, USA},
publisher = {ACM},
acmid = {3018689},
doi = {10.1145/3018661.3018689},
isbn = {978-1-4503-4675-7},
keywords = {recommender systems, recurrent neural networks},
location = {Cambridge, United Kingdom},
numpages = {9},
url = {http://doi.acm.org/10.1145/3018661.3018689},
}
@InProceedings{Salakhutdinov:2007:PMF:2981562.2981720,
author = {Salakhutdinov, Ruslan and Mnih, Andriy},
title = {Probabilistic Matrix Factorization},
booktitle = {Proceedings of the 20th International Conference on Neural Information Processing Systems},
year = {2007},
series = {NIPS'07},
pages = {1257--1264},
address = {USA},
publisher = {Curran Associates Inc.},
acmid = {2981720},
isbn = {978-1-60560-352-0},
location = {Vancouver, British Columbia, Canada},
numpages = {8},
url = {http://dl.acm.org/citation.cfm?id=2981562.2981720},
}
@InProceedings{F,
author = {Rendle, Steffen},
title = {Factorization Machines},
booktitle = {Proceedings of the 2010 IEEE International Conference on Data Mining},
year = {2010},
series = {ICDM '10},
pages = {995--1000},
address = {Washington, DC, USA},
publisher = {IEEE Computer Society},
acmid = {1934620},
doi = {10.1109/ICDM.2010.127},
isbn = {978-0-7695-4256-0},
keywords = {factorization machine, sparse data, tensor factorization, support vector machine},
numpages = {6},
url = {http://dx.doi.org/10.1109/ICDM.2010.127},
}
@Article{Rendle:2012:FML:2168752.2168771,
author = {Rendle, Steffen},
title = {Factorization Machines with libFM},
journal = {ACM Trans. Intell. Syst. Technol.},
year = {2012},
volume = {3},
number = {3},
pages = {57:1--57:22},
month = may,
issn = {2157-6904},
acmid = {2168771},
address = {New York, NY, USA},
articleno = {57},
doi = {10.1145/2168752.2168771},
issue_date = {May 2012},
keywords = {Factorization model, collaborative filtering, factorization machine, matrix factorization, recommender system, tensor factorization},
numpages = {22},
publisher = {ACM},
url = {http://doi.acm.org/10.1145/2168752.2168771},
}
@InProceedings{Juan:2016:FFM:2959100.2959134,
author = {Juan, Yuchin and Zhuang, Yong and Chin, Wei-Sheng and Lin, Chih-Jen},
title = {Field-aware Factorization Machines for CTR Prediction},
booktitle = {Proceedings of the 10th ACM Conference on Recommender Systems},
year = {2016},
series = {RecSys '16},
pages = {43--50},
address = {New York, NY, USA},
publisher = {ACM},
acmid = {2959134},
doi = {10.1145/2959100.2959134},
isbn = {978-1-4503-4035-9},
keywords = {click-through rate prediction, computational advertising, factorization machines, machine learning},
location = {Boston, Massachusetts, USA},
numpages = {8},
url = {http://doi.acm.org/10.1145/2959100.2959134},
}
@InProceedings{ijcai2017-239,
author = {Huifeng Guo and Ruiming TANG and Yunming Ye and Zhenguo Li and Xiuqiang He},
title = {DeepFM: A Factorization-Machine based Neural Network for CTR Prediction},
booktitle = {Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, {IJCAI-17}},
year = {2017},
pages = {1725--1731},
doi = {10.24963/ijcai.2017/239},
url = {https://doi.org/10.24963/ijcai.2017/239},
}
@InProceedings{Wang:2017:DCN:3124749.3124754,
author = {Wang, Ruoxi and Fu, Bin and Fu, Gang and Wang, Mingliang},
title = {Deep \& Cross Network for Ad Click Predictions},
booktitle = {Proceedings of the ADKDD'17},
year = {2017},
series = {ADKDD'17},
pages = {12:1--12:7},
address = {New York, NY, USA},
publisher = {ACM},
acmid = {3124754},
articleno = {12},
doi = {10.1145/3124749.3124754},
isbn = {978-1-4503-5194-2},
keywords = {CTR Prediction, Deep Learning, Feature Crossing, Neural Networks},
location = {Halifax, NS, Canada},
numpages = {7},
url = {http://doi.acm.org/10.1145/3124749.3124754},
}
@InProceedings{Lian:2018:XCE:3219819.3220023,
author = {Lian, Jianxun and Zhou, Xiaohuan and Zhang, Fuzheng and Chen, Zhongxia and Xie, Xing and Sun, Guangzhong},
title = {xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems},
booktitle = {Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery \&\#38; Data Mining},
year = {2018},
series = {KDD '18},
pages = {1754--1763},
address = {New York, NY, USA},
publisher = {ACM},
acmid = {3220023},
doi = {10.1145/3219819.3220023},
isbn = {978-1-4503-5552-0},
keywords = {deep learning, factorization machines, feature interactions, neural network, recommender systems},
location = {London, United Kingdom},
numpages = {10},
url = {http://doi.acm.org/10.1145/3219819.3220023},
}
@InProceedings{Zhou:2018:DIN:3219819.3219823,
author = {Zhou, Guorui and Zhu, Xiaoqiang and Song, Chenru and Fan, Ying and Zhu, Han and Ma, Xiao and Yan, Yanghui and Jin, Junqi and Li, Han and Gai, Kun},
title = {Deep Interest Network for Click-Through Rate Prediction},
booktitle = {Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery \&\#38; Data Mining},
year = {2018},
series = {KDD '18},
pages = {1059--1068},
address = {New York, NY, USA},
publisher = {ACM},
acmid = {3219823},
doi = {10.1145/3219819.3219823},
isbn = {978-1-4503-5552-0},
keywords = {click-through rate prediction, display advertising, e-commerce},
location = {London, United Kingdom},
numpages = {10},
url = {http://doi.acm.org/10.1145/3219819.3219823},
}
@Article{zhou2018deep,
author = {Zhou, Guorui and Mou, Na and Fan, Ying and Pi, Qi and Bian, Weijie and Zhou, Chang and Zhu, Xiaoqiang and Gai, Kun},
title = {Deep Interest Evolution Network for Click-Through Rate Prediction},
journal = {arXiv preprint arXiv:1809.03672},
year = {2018},
}
@Article{Zhang:2019:DLB:3309872.3285029,
author = {Zhang, Shuai and Yao, Lina and Sun, Aixin and Tay, Yi},
title = {Deep Learning Based Recommender System: A Survey and New Perspectives},
journal = {ACM Comput. Surv.},
year = {2019},
volume = {52},
number = {1},
pages = {5:1--5:38},
month = feb,
issn = {0360-0300},
acmid = {3285029},
address = {New York, NY, USA},
articleno = {5},
doi = {10.1145/3285029},
issue_date = {February 2019},
keywords = {Recommender system, deep learning, survey},
numpages = {38},
publisher = {ACM},
url = {http://doi.acm.org/10.1145/3285029},
}
@InProceedings{inproceedings,
author = {Wang, Shoujin and Hu, Liang and Wang, Yan and Cao, Longbing and Sheng, Quan and Orgun, Mehmet},
title = {Sequential Recommender Systems: Challenges, Progress and Prospects},
year = {2019},
month = {05},
}
@InCollection{NIPS2017_7081,
author = {Volkovs, Maksims and Yu, Guangwei and Poutanen, Tomi},
title = {DropoutNet: Addressing Cold Start in Recommender Systems},
booktitle = {Advances in Neural Information Processing Systems 30},
publisher = {Curran Associates, Inc.},
year = {2017},
editor = {I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett},
pages = {4957--4966},
url = {http://papers.nips.cc/paper/7081-dropoutnet-addressing-cold-start-in-recommender-systems.pdf},
}
@Comment{jabref-meta: databaseType:bibtex;}