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2018
[r3]
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Bee-Chung Chen:
Spatiotemporal Personalized Recommendation of Social Media Content. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018
2017
[c34]
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Guangde Chen, Bee-Chung Chen, Deepak Agarwal:
Social Incentive Optimization in Online Social Networks. WSDM 2017: 547-556
[c33]
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Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen:
NEMO: Next Career Move Prediction with Contextual Embedding. WWW (Companion Volume) 2017: 505-513
2016
[c32]
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Navneet Kapur, Nikita I. Lytkin, Bee-Chung Chen, Deepak Agarwal, Igor Perisic:
Ranking Universities Based on Career Outcomes of Graduates. KDD 2016: 137-144
[c31]
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Liang Tang, Bo Long, Bee-Chung Chen, Deepak Agarwal:
An Empirical Study on Recommendation with Multiple Types of Feedback. KDD 2016: 283-292
[c30]
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XianXing Zhang, Yitong Zhou, Yiming Ma, Bee-Chung Chen, Liang Zhang, Deepak Agarwal:
GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction. KDD 2016: 363-372
2015
[c29]
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Deepak Agarwal, Bee-Chung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang:
Personalizing LinkedIn Feed. KDD 2015: 1651-1660
2014
[c28]
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Deepak Agarwal, Bee-Chung Chen, Rupesh Gupta, Joshua Hartman, Qi He, Anand Iyer, Sumanth Kolar, Yiming Ma, Pannagadatta Shivaswamy, Ajit Singh, Liang Zhang:
Activity ranking in LinkedIn feed. KDD 2014: 1603-1612
[r2]
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Bee-Chung Chen:
Spatiotemporal Personalized Recommendation of Social Media Content. Encyclopedia of Social Network Analysis and Mining 2014: 2010-2018
2013
[j5]
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  - journals/cacm/AgarwalCER13
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Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Raghu Ramakrishnan:
Content recommendation on web portals. Commun. ACM 56(6): 92-101 (2013)
[c27]
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  - conf/bigdataconf/KhannaZAC13
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Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen:
Parallel matrix factorization for binary response. BigData 2013: 430-438
[c26]
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  - conf/kdd/YangCA13
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Jaewon Yang, Bee-Chung Chen, Deepak Agarwal:
Estimating sharer reputation via social data calibration. KDD 2013: 59-67
2012
[c25]
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  - conf/cikm/AgarwalCW12
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Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang:
Multi-faceted ranking of news articles using post-read actions. CIKM 2012: 694-703
[c24]
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  - conf/sigir/AgarwalCEW12
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Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang:
Personalized click shaping through lagrangian duality for online recommendation. SIGIR 2012: 485-494
[c23]
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Bee-Chung Chen, Anirban Dasgupta, Xuanhui Wang, Jie Yang:
Vote calibration in community question-answering systems. SIGIR 2012: 781-790
[i2]
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  - journals/corr/abs-1203-5124
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Rajiv Khanna, Liang Zhang, Deepak Agarwal, Bee-Chung Chen:
Parallel Matrix Factorization for Binary Response. CoRR abs/1203.5124 (2012)
[i1]
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  - journals/corr/abs-1205-0591
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Deepak Agarwal, Bee-Chung Chen, Xuanhui Wang:
Multi-Faceted Ranking of News Articles using Post-Read Actions. CoRR abs/1205.0591 (2012)
2011
[c22]
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  - conf/emnlp/AgarwalCP11
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Deepak Agarwal, Bee-Chung Chen, Bo Pang:
Personalized Recommendation of User Comments via Factor Models. EMNLP 2011: 571-582
[c21]
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Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Xuanhui Wang:
Click shaping to optimize multiple objectives. KDD 2011: 132-140
[c20]
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Bee-Chung Chen, Jian Guo, Belle L. Tseng, Jie Yang:
User reputation in a comment rating environment. KDD 2011: 159-167
[c19]
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  - conf/kdd/AgarwalCL11
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Deepak Agarwal, Bee-Chung Chen, Bo Long:
Localized factor models for multi-context recommendation. KDD 2011: 609-617
[c18]
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Liang Zhang, Deepak Agarwal, Bee-Chung Chen:
Generalizing matrix factorization through flexible regression priors. RecSys 2011: 13-20
[c17]
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Deepak Agarwal, Bee-Chung Chen:
Latent OLAP: data cubes over latent variables. SIGMOD Conference 2011: 877-888
[c16]
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Judd Antin, Elizabeth F. Churchill, Bee-Chung Chen:
Workshop on online reputation: context, privacy, and reputation management. WWW (Companion Volume) 2011: 321-322
[r1]
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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]
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  - conf/kdd/AgarwalCE10
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Deepak Agarwal, Bee-Chung Chen, Pradheep Elango:
Fast online learning through offline initialization for time-sensitive recommendation. KDD 2010: 703-712
[c14]
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Deepak Agarwal, Bee-Chung Chen:
fLDA: matrix factorization through latent dirichlet allocation. WSDM 2010: 91-100

2000 – 2009

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2009
[j4]
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  - journals/ftdb/ChenKLM09
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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]
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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): 5:1-5:49 (2009)
[j2]
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Bee-Chung Chen, Kristen LeFevre, Raghu Ramakrishnan:
Adversarial-knowledge dimensions in data privacy. VLDB J. 18(2): 429-467 (2009)
[c13]
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Deepak Agarwal, Bee-Chung Chen, Pradheep Elango:
Explore/Exploit Schemes for Web Content Optimization. ICDM 2009: 1-10
[c12]
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Deepak Agarwal, Bee-Chung Chen:
Regression-based latent factor models. KDD 2009: 19-28
[c11]
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Deepak Agarwal, Bee-Chung Chen, Pradheep Elango:
Spatio-temporal models for estimating click-through rate. WWW 2009: 21-30
2008
[c10]
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  - conf/nips/AgarwalCEMPRRZ08
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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]
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  - journals/datamine/RamakrishnanC07
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Raghu Ramakrishnan, Bee-Chung Chen:
Exploratory mining in cube space. Data Min. Knowl. Discov. 15(1): 29-54 (2007)
[c9]
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  - conf/vldb/ChaudhuriCGK07
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Surajit Chaudhuri, Bee-Chung Chen, Venkatesh Ganti, Raghav Kaushik:
Example-driven design of efficient record matching queries. VLDB 2007: 327-338
[c8]
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Bee-Chung Chen, Raghu Ramakrishnan, Kristen LeFevre:
Privacy Skyline: Privacy with Multidimensional Adversarial Knowledge. VLDB 2007: 770-781
2006
[c7]
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  - conf/icde/ChenCRM06
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Bee-Chung Chen, Lei Chen, Raghu Ramakrishnan, David R. Musicant:
Learning from Aggregate Views. ICDE 2006: 3
[c6]
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Bee-Chung Chen, Vinod Yegneswaran, Paul Barford, Raghu Ramakrishnan:
Toward a Query Language for Network Attack Data. ICDE Workshops 2006: 28
[c5]
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  - conf/vldb/0003RBCY06
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Lei Chen, Raghu Ramakrishnan, Paul Barford, Bee-Chung Chen, Vinod Yegneswaran:
Composite Subset Measures. VLDB 2006: 403-414
[c4]
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Bee-Chung Chen, Raghu Ramakrishnan, Jude W. Shavlik, Pradeep Tamma:
Bellwether Analysis: Predicting Global Aggregates from Local Regions. VLDB 2006: 655-666
2005
[c3]
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Bee-Chung Chen, Lei Chen, Yi Lin, Raghu Ramakrishnan:
Prediction Cubes. VLDB 2005: 982-993
2004
[c2]
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  - conf/webi/ChenH04
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Bee-Chung Chen, Jieh Hsiang:
A Logical Framework of Knowledge Retrieval with Fuzziness. Web Intelligence 2004: 524-528
2003
[c1]
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  - conf/icmcs/HsiangLCT03
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Jieh Hsiang, Wen-Jun Liu, Bee-Chung Chen, Hsieh-Chang Tu:
Multidimensional interactive fine-grained image retrieval. ICME 2003: 297-300

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