- CSB - MetaPress - Google - Bing - Yahoo
 | 2012 | |
|---|---|---|
| c25 |      | Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang: Multi-faceted ranking of news articles using post-read actions. CIKM 2012: 694-703 |
| c24 | | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang: Personalized click shaping through lagrangian duality for online recommendation. SIGIR 2012: 485-494 |
| c23 | | Bee-Chung Chen, Anirban Dasgupta, Xuanhui Wang, Jie Yang: Vote calibration in community question-answering systems. SIGIR 2012: 781-790 |
| i2 | | Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen: Parallel Matrix Factorization for Binary Response. CoRR abs/1203.5124 (2012) |
| i1 | | Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang: Multi-Faceted Ranking of News Articles using Post-Read Actions. CoRR abs/1205.0591 (2012) |
| 2011 | ||
| c22 | | Deepak Agarwal, Bee-Chung Chen, Bo Pang: Personalized Recommendation of User Comments via Factor Models. EMNLP 2011: 571-582 |
| c21 | | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang: Click shaping to optimize multiple objectives. KDD 2011: 132-140 |
| c20 | | Bee-Chung Chen, Jian Guo, Belle L. Tseng, Jie Yang: User reputation in a comment rating environment. KDD 2011: 159-167 |
| c19 | | Deepak Agarwal, Bee-Chung Chen, Bo Long: Localized factor models for multi-context recommendation. KDD 2011: 609-617 |
| c18 | | Liang Zhang, Deepak Agarwal, Bee-Chung Chen: Generalizing matrix factorization through flexible regression priors. RecSys 2011: 13-20 |
| c17 | | Deepak Agarwal, Bee-Chung Chen: Latent OLAP: data cubes over latent variables. SIGMOD Conference 2011: 877-888 |
| c16 | | Judd Antin, Elizabeth F. Churchill, Bee-Chung Chen: Workshop on online reputation: context, privacy, and reputation management. WWW (Companion Volume) 2011: 321-322 |
| r1 | | Kristen LeFevre, Bee-Chung Chen: Adversarial/External Knowledge (Privacy in the Presence of). Encyclopedia of Cryptography and Security (2nd Ed.) 2011: 24-26 |
| 2010 | ||
| c15 | | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango: Fast online learning through offline initialization for time-sensitive recommendation. KDD 2010: 703-712 |
| c14 | | Deepak Agarwal, Bee-Chung Chen: fLDA: matrix factorization through latent dirichlet allocation. WSDM 2010: 91-100 |
| 2009 | ||
| j4 | | Bee-Chung Chen, Daniel Kifer, Kristen LeFevre, Ashwin Machanavajjhala: Privacy-Preserving Data Publishing. Foundations and Trends in Databases 2(1-2): 1-167 (2009) |
| j3 | | Bee-Chung Chen, Raghu Ramakrishnan, Jude W. Shavlik, Pradeep Tamma: Bellwether analysis: Searching for cost-effective query-defined predictors in large databases. TKDD 3(1) (2009) |
| j2 | | Bee-Chung Chen, Kristen LeFevre, Raghu Ramakrishnan: Adversarial-knowledge dimensions in data privacy. VLDB J. 18(2): 429-467 (2009) |
| c13 | | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango: Explore/Exploit Schemes for Web Content Optimization. ICDM 2009: 1-10 |
| c12 | | |
| c11 | | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango: Spatio-temporal models for estimating click-through rate. WWW 2009: 21-30 |
| 2008 | ||
| c10 | | Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Nitin Motgi, Seung-Taek Park, Raghu Ramakrishnan, Scott Roy, Joe Zachariah: Online Models for Content Optimization. NIPS 2008: 17-24 |
| 2007 | ||
| j1 | | Raghu Ramakrishnan, Bee-Chung Chen: Exploratory mining in cube space. Data Min. Knowl. Discov. 15(1): 29-54 (2007) |
| c9 | | Surajit Chaudhuri, Bee-Chung Chen, Venkatesh Ganti, Raghav Kaushik: Example-driven design of efficient record matching queries. VLDB 2007: 327-338 |
| c8 | | Bee-Chung Chen, Raghu Ramakrishnan, Kristen LeFevre: Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge. VLDB 2007: 770-781 |
| 2006 | ||
| c7 | | Bee-Chung Chen, Lei Chen, Raghu Ramakrishnan, David R. Musicant: Learning from Aggregate Views. ICDE 2006: 3 |
| c6 | | Bee-Chung Chen, Vinod Yegneswaran, Paul Barford, Raghu Ramakrishnan: Toward a Query Language for Network Attack Data. ICDE Workshops 2006: 28 |
| c5 | | Lei Chen, Raghu Ramakrishnan, Paul Barford, Bee-Chung Chen, Vinod Yegneswaran: Composite Subset Measures. VLDB 2006: 403-414 |
| c4 | | Bee-Chung Chen, Raghu Ramakrishnan, Jude W. Shavlik, Pradeep Tamma: Bellwether Analysis: Predicting Global Aggregates from Local Regions. VLDB 2006: 655-666 |
| 2005 | ||
| c3 | | |
| 2004 | ||
| c2 | | Bee-Chung Chen, Jieh Hsiang: A Logical Framework of Knowledge Retrieval with Fuzziness. Web Intelligence 2004: 524-528 |
| 2003 | ||
| c1 | | Jieh Hsiang, Wen-Jun Liu, Bee-Chung Chen, Hsieh-Chang Tu: Multidimensional interactive fine-grained image retrieval. ICME 2003: 297-300 |
Colors in the list of coauthors
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