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众包与移动众包paper list



1.众包


众包工人质量

[1] A.D.Sarma, A.Parameswaran, J.Widom. Towards Globally Optimal Crowdsourcing Quality Management: The Uniform Worker Setting. SIGMOD’16, 2016::47-62. [PDF]
[2] H Zhuang,A Parameswaran,D Roth,J Han. Debiasing Crowdsourced Batches, ACM, 2015:1593. [PDF]
[3] M Joglekar,H Garcia-Molina,A Parameswaran. Evaluating the crowd with confidence. KDD, 2014:686-694. [PDF]
[4] M Joglekar,H Garcia-Molina,A Parameswaran. Comprehensive and Reliable Crowd Assessment Algorithms. ICDE, 2014. [PDF]
[5] J Feng,G Li,H Wang,J Feng. Incremental Quality Inference in Crowdsourcing,DASFAA 2014: Database Systems for Advanced Applications pp 453-467. [PDF]


众包任务分配

[1] C. Cao, J. She, Y. Tong and L. Chen. Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services. VLDB,2012:1495-1506. [PDF]
[2] Y Zheng,J Wang,G Li,R Cheng,J Feng.QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications,Sigmod 2015, 107:1031-1046. [PDF]


众包答案聚合

[1] K.Mo, E.Zhong and Q.Yang. Cross-Task Crowdsourcing. KDD’13, August 11–14, 2013:677-685. [PDF]
[2] F.Ma, Y.Li, Q.Li, M.Qiu, J.Gao, S.Zhi,L.Su, B.Zhao, H.Ji, and J.Han. FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. KDD’15, August 10-13, 2015. [PDF]
[3]A.Parameswaran, S.Boyd, H.Garcia-Molina, A.Gupta, N.Polyzotis and J.Widom. Optimal Crowd-Powered Rating and Filtering Algorithms. Proceedings of the Vldb Endowment 2014, 2014:685-696.[PDF]
[4] X Liu,M Lu,BC Ooi,Y Shen,S Wu. CDAS: A Crowdsourcing Data Analytics System, VLDB,2012:1040-1051. [PDF]
[5] D Miller,A Kurve,G Kesidis.Multicategory Crowdsourcing Accounting for Variable Task Difficulty, Worker Skill, and Worker Intention, IEEE, 2014:794-809. [PDF]


众包平台、框架、原型系统

[1] D.Haas, J.Ansel, L.Gu and A.Marcus.Argonaut: Macrotask Crowdsourcing for Complex Data Processing. VLDB, 2015, 2015:1642-1653.[PDF]
[2]C. Sun, N. Rampalli , F. Yang and A. Doan. Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing. VLDB, 2014.[PDF]
[3] J Fan,M Lu,BC Ooi,WC Tan.A Hybrid Machine-Crowdsourcing System for Matching Web Tables. IEEE, 2014:976-987.[PDF]
[4]J Fan,G Li,BC Ooi,KL Tan,J Feng.iCrowd: An Adaptive Crowdsourcing Framework,Sigmod,2015:1015-1030. [PDF]


众包与其他问题

[1] D.Haas, J.Wang, E.Wu and M.J.Franklin. CLAMShell: Speeding up Crowds for Low-latency Data Labeling. VLDB, 2015, 2015:372-383.[PDF]
[2] H.Hu, Y.Zheng, Z.Bao, G.Li, J.Feng and R.Cheng. Crowdsourced POI Labelling: Location-Aware Result Inference and Task Assignment. ICDE.2016, 2016 :61-72.[PDF]
[3] S. Hao, S.C.H .Hoi, C. Miao and P. hao. Active Crowdsourcing for Annotation. IEEE Computer Society2015, 2015:1-8.[PDF]
[4] J Gao,X Liu,BC Ooi,H Wang,G Chen.An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems, ACM, 2013:217-228.[PDF]
[5] V Verroios,P Lofgren,H Garcia-Molina. tDP: An Optimal-Latency Budget Allocation Strategy for Crowdsourced MAXIMUM Operations, ACM, 2015:1047-1062.[PDF]
[6] CJ Zhang,L Chen,HV Jagadish,CC Cao, Reducing Uncertainty of Schema Matching via Crowdsourcing, VLDB,2013, 6(9):757-768. [PDF]
[7] SE Whang,P Lofgren,H Garcia-Molina, Question Selection for Crowd Entity Resolution, VLDB,2013, 6(6):349-360. [PDF]


众包survey

[1]G Li,J Wang,Y Zheng,M Franklin.Crowdsourced Data Management: A Survey,IEEE,2016,28:1-1. [PDF]
[2]W Li,WJ Wu,HM Wang,XQ Cheng,HJ Chen, Crowd intelligence in AI 2.0 era, Frontiers of Information Technology & Electronic Engineering, 2017, 18(1):15-43. [PDF]
[3]Tong, Y.X., Yuan, Y., Cheng, Y.R., et al. A survey of spatiotemporal crowdsourced data management techniques. J. Softw., 28(1):35-58 (in Chinese). [PDF]
[4]FENG J H, LI G L, FENG J H. A survey on crowdsourcing [J]. Chinese Journal of Computer, 2015, 38(9) :1713-1725. (in Chinese). [PDF]



2.移动众包


移动众包任务分配

[1] Y.Tong, J.She, B.Ding, L.Wang, L.Chen. Online Mobile Micro-Task Allocation in Spatial. ICDE, 2016, 2016:49-60.[PDF]
[2] L.Kazemi , C. Shahabi. GeoCrowd: Enabling Query Answering with Spatial Crowdsourcing. ACM SIGSPATIAL GIS ’12 , 2012:189-198.[PDF]
[3] Robin Wentao Ouyang and A.Toniolo. Truth Discovery in Crowdsourced Detection of Spatial Ecents, CIKM’14 , 2014.[PDF]
[4] Cen Chen, Shih-Fen Cheng, Archan Misra, Hoong Chuin Lau. Multi-Agent Task Assignment for Mobile Crowdsourcing under Trajectory Uncertainties. AAMAS, 2015 23(1):1715-1716.[PDF]
[5] Hung Dang, Tuan Nguyen,Hien To.Maximum Complex Task Assignment: Towards Tasks Correlation in Spatial Crowdsourcing, iiWAS, 2013 2(2):77-81.[PDF]
[6] Hien To, Cyrus Shahabi, Leyla Kazemi.A Server-Assigned Spatial Crowdsourcing Framework,2015, 1(1):2:1-2:28.[PDF]
[7] Sofia Amador, Steven Okamoto, Roie Zivan. Dynamic Multi-Agent Task Allocation with Spatial and Temporal Constraints. AAAI, 2014, 119(1):1495-1496. [PDF]
[8] Weiqing Wang, Hongzhi Yin, Shazia Sadiq, Ling Chen, Min Xie, Xiaofang Zhou. SPORE: A Sequential Personalized Spatial Item Recommender System. ICDE, 2016:954-965. [PDF]
[9] Jacob Eisenstein, Amr Ahmed, Eric P. Xing. Sparse Additive Generative Models of Text. ICML, 2011:1041-1048. [PDF]
[10] Leyla Kazemi, Cyrus Shahabi, Lei Chen, GeoTruCrowd: Trustworthy Query Answering with Spatial Crowdsourcing, SIGSPATIAL, 2013:314-323. [PDF]


移动众包任务获取

[1] Dingxiong Deng, Cyrus Shahabi, Ugur Demiryurek. Maximizing the Number of Worker’s Self-Selected Tasks in Spatial Crowdsourcing, SIGSPATIAL, 2013:324-333.[PDF]
[2] Yu Li, Man Lung Yiu, Wenjian Xu. Oriented Online Route Recommendation for Spatial Crowdsourcing Task Workers. SSTD, 2015.[PDF]
[3] Cen Chen, Shih-Fen Cheng, Hoong Chuin Lau, Archan Misra. Towards City-scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties, ICJAI 2015.[PDF]


移动众包平台、原型系统

[1] Cyrus Shahabi. Towards a Generic Framework for Trustworthy Spatial Crowdsourcing, MobiDE , 2013:1-4.[PDF]
[2] Erfan Davami, Gita Sukthankar. Improving the Performance of Mobile Phone Crowdsourcing Applications, AAMAS, 2015 :145-153.[PDF]


移动众包数据整合

[1] Matteo Venanzi, Alex Rogers, Nicholas R.Jennings. Crowdsourcing Spatial Phenomena Using Trust-Based Heteroskedastic Gaussian Process. AAAI, 2013:182-189. [PDF]


移动众包安全与隐私

[1] Hien To , Gabriel Ghinita , Cyrus Shahabi, PrivGeoCrowd: A Toolbox for Studying Private Spatial Crowdsourcing, ICDE, 2015:1404-1407. [PDF]


移动众包位置预测

[1] Huiji Gao, Jiliang Tang, Huan Liu.Mobile Location Prediction in Spatio-Temporal Context, Springer, Berlin, 2012, 17(1):47-62. [PDF]
[2] Go ¨khan Yavas, Dimitrios Katsaros , O ¨ zgu ¨r Ulusoy a, Yannis Manolopoulos. A data mining approach for location prediction in mobile environments. Data & Knowledge Engineering, 2005:121–146. [PDF]


移动众包激励机制

[1] Yue Fan, Hailong Sun, Yanmin Zhu, Xudong Liu, Ji Yuan. A Truthful Online Auction for Tempo-spatial Crowdsourcing Tasks. IEEE, 2015:332-338.[PDF]


移动众包与复杂任务

[1] Aniket Kittur, Susheel Khamkar, Paul Andre, Robert E. Kraut.CrowdWeaver : Visually Managing Complex Crowd Word. CSCW, 2012:1033-1036.[PDF]
[2] Aniket Kittur, Susheel Khamkar, Paul Andre, Robert E. Kraut.CrowdForge : Crowdsourcing Complex Work. UIST, 2011 :43-52.[PDF]



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