Bo Zhao

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Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisDirección de correo verificada de cs.uiuc.edu
Jing GaoAssociate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue UniversityDirección de correo verificada de purdue.edu
Qi Li (Quinn)Iowa State UniversityDirección de correo verificada de iastate.edu
Lu SuAssociate Professor, Purdue UniversityDirección de correo verificada de purdue.edu
Ariel FuxmanResearch Scientist, GoogleDirección de correo verificada de google.com
Bolin DingAlibaba GroupDirección de correo verificada de alibaba-inc.com
Yaliang LiAlibaba GroupDirección de correo verificada de alibaba-inc.com
ChengXiang ZhaiUniversity of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Heng JiProfessor, Siebel School of Computing and Data Science, AICE Director, UIUC, Amazon ScholarDirección de correo verificada de illinois.edu
David HardtkeDirección de correo verificada de hardtke.net
Yintao YuUniversity of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Yizhou SunProfessor, Computer Science, UCLADirección de correo verificada de cs.ucla.edu
Fenglong MaPennsylvania State UniversityDirección de correo verificada de psu.edu
Jure LeskovecProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
Benjamin I. P. RubinsteinProfessor, School of Computing and Information Systems, The University of MelbourneDirección de correo verificada de unimelb.edu.au
Hongbo DengGoogleDirección de correo verificada de google.com
Patrick PantelFacebook AIDirección de correo verificada de patrickpantel.com
Qiaozhu MeiProfessor, University of MichiganDirección de correo verificada de umich.edu
Feida ZhuSingapore Management UniversityDirección de correo verificada de smu.edu.sg
Duo ZhangTwitter, Inc.Dirección de correo verificada de illinois.edu

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Bo Zhao

Dirección de correo verificada de pinterest.com - Página principal

Machine Learning Data Mining Recommender Systems Text Mining


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Resolving Conflicts in Heterogeneous Data by Truth Discovery and Source Reliability Estimation Q Li, Y Li, J Gao, B Zhao, W Fan, J Han Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	577	2014
A Survey on Truth Discovery Y Li, J Gao, C Meng, Q Li, L Su, B Zhao, W Fan, J Han ACM Sigkdd Explorations Newsletter, 2015	552	2015
A Bayesian approach to discovering truth from conflicting sources for data integration B Zhao, BIP Rubinstein, J Gemmell, J Han Proceedings of the VLDB Endowment, 2012, 2012	476	2012
A confidence-aware approach for truth discovery on long-tail data Q Li, Y Li, J Gao, L Su, B Zhao, M Demirbas, W Fan, J Han Proceedings of the VLDB Endowment 8 (4), 425-436, 2014	433	2014
Faitcrowd: Fine grained truth discovery for crowdsourced data aggregation F Ma, Y Li, Q Li, M Qiu, J Gao, S Zhi, L Su, B Zhao, H Ji, J Han Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015	261	2015
Pet: a statistical model for popular events tracking in social communities CX Lin, B Zhao, Q Mei, J Han Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	225	2010
A Probabilistic Model for Estimating Real-valued Truth from Conflicting Sources B Zhao, J Han Proc. of 10th Intl. Workshop on Quality in Databases, 2012	199	2012
On the discovery of evolving truth Y Li, Q Li, J Gao, L Su, B Zhao, W Fan, J Han Proceedings of the 21th acm sigkdd international conference on knowledge …, 2015	193	2015
Text cube: Computing ir measures for multidimensional text database analysis CX Lin, B Ding, J Han, F Zhu, B Zhao 2008 eighth ieee international conference on data mining, 905-910, 2008	167	2008
The wisdom of minority: Discovering and targeting the right group of workers for crowdsourcing H Li, B Zhao, A Fuxman Proceedings of the 23rd international conference on World wide web, 165-176, 2014	156	2014
Probabilistic topic models with biased propagation on heterogeneous information networks H Deng, J Han, B Zhao, Y Yu, CX Lin Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	146	2011
Pinnersage: Multi-modal user embedding framework for recommendations at pinterest A Pal, C Eksombatchai, Y Zhou, B Zhao, C Rosenberg, J Leskovec Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	144	2020
Community evolution detection in dynamic heterogeneous information networks Y Sun, J Tang, J Han, M Gupta, B Zhao Proceedings of the eighth workshop on mining and learning with graphs, 137-146, 2010	126	2010
Conflicts to harmony: A framework for resolving conflicts in heterogeneous data by truth discovery Y Li, Q Li, J Gao, L Su, B Zhao, W Fan, J Han IEEE Transactions on Knowledge and Data Engineering 28 (8), 1986-1999, 2016	125	2016
Contextual insights and exploration BSJ Kohlmeier, P Chilakamarri, KM Saad, P Pantel, AD Fuxman, L Reyes, ... US Patent App. 14/508,431, 2015	112	2015
Modeling truth existence in truth discovery S Zhi, B Zhao, W Tong, J Gao, D Yu, H Ji, J Han Proceedings of the 21th acm sigkdd international conference on knowledge …, 2015	78	2015
Learning global term weights for content-based recommender systems Y Gu, B Zhao, D Hardtke, Y Sun Proceedings of the 25th International Conference on World Wide Web, 391-400, 2016	56	2016
Truth discovery and crowdsourcing aggregation: A unified perspective J Gao, Q Li, B Zhao, W Fan, J Han Proceedings of the VLDB Endowment 8 (12), 2048-2049, 2015	51	2015
CaSMoS: A framework for learning candidate selection models over structured queries and documents F Borisyuk, K Kenthapadi, D Stein, B Zhao Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016	47	2016
Topcells: Keyword-based search of top-k aggregated documents in text cube B Ding, B Zhao, CX Lin, J Han, C Zhai 2010 IEEE 26th International Conference on Data Engineering (ICDE 2010), 381-384, 2010	43	2010

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