Deepak Agarwal

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2009
20Translating relevance scores to probabilities for contextual advertising. Deepak Agarwal, Evgeniy Gabrilovich, Robert Hall, Vanja Josifovski, Rajiv Khanna. CIKM 2009, 1899-1902. Web SearchBibTeXDownload
19Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering. Yashar Moshfeghi, Deepak Agarwal, Benjamin Piwowarski, Joemon M. Jose. ECIR 2009, 54-65. Web SearchBibTeXDownload
18Regression-based latent factor models. Deepak Agarwal, Bee-Chung Chen. KDD 2009, 19-28. Web SearchBibTeXDownload
17A spatio-temporal approach to collaborative filtering. Zhengdong Lu, Deepak Agarwal, Inderjit S. Dhillon. RecSys 2009, 13-20. Web SearchBibTeXDownload
16Spatio-temporal models for estimating click-through rate. Deepak Agarwal, Bee-Chung Chen, Pradheep Elango. WWW 2009, 21-30. Web SearchBibTeXDownload
2008
15Fast Computation of Posterior Mode in Multi-Level Hierarchical Models. Liang Zhang, Deepak Agarwal. NIPS 2008, 1913-1920. Web SearchBibTeXDownload
14Online Models for Content Optimization. Deepak Agarwal, Bee-Chung Chen, Pradheep Elango, Nitin Motgi, Seung-Taek Park, Raghu Ramakrishnan, Scott Roy, Joe Zachariah. NIPS 2008, 17-24. Web SearchBibTeXDownload
13Contextual advertising by combining relevance with click feedback. Deepayan Chakrabarti, Deepak Agarwal, Vanja Josifovski. WWW 2008, 417-426. Web SearchBibTeXDownload
2007
12Parsimonious Explanations of Change in Hierarchical Data. Dhiman Barman, Flip Korn, Divesh Srivastava, Dimitrios Gunopulos, Neal E. Young, Deepak Agarwal. ICDE 2007, 1273-1275. Web SearchBibTeXDownload
11Multi-armed bandit problems with dependent arms. Sandeep Pandey, Deepayan Chakrabarti, Deepak Agarwal. ICML 2007, 721-728. Web SearchBibTeXDownload
10Transformation Invariant Robust Shape Analysis. Neeta Nain, Vijay Laxmi, Manish Khandelwal, Deepak Agarwal, Dushyant Singh Rao, Pawan Kumar Verma. IPCV 2007, 275-281. Web SearchBibTeX
9Efficient and effective explanation of change in hierarchical summaries. Deepak Agarwal, Dhiman Barman, Dimitrios Gunopulos, Neal E. Young, Flip Korn, Divesh Srivastava. KDD 2007, 6-15. Web SearchBibTeXDownload
8Estimating rates of rare events at multiple resolutions. Deepak Agarwal, Andrei Z. Broder, Deepayan Chakrabarti, Dejan Diklic, Vanja Josifovski, Mayssam Sayyadian. KDD 2007, 16-25. Web SearchBibTeXDownload
7Predictive discrete latent factor models for large scale dyadic data. Deepak Agarwal, Srujana Merugu. KDD 2007, 26-35. Web SearchBibTeXDownload
6Detecting anomalies in cross-classified streams: a Bayesian approach. Deepak Agarwal. Knowl. Inf. Syst. (11): 29-44 (2007). Web SearchBibTeXDownload
5Bandits for Taxonomies: A Model-based Approach. Sandeep Pandey, Deepak Agarwal, Deepayan Chakrabarti, Vanja Josifovski. SDM 2007. Web SearchBibTeXDownload
2006
4Spatial scan statistics: approximations and performance study. Deepak Agarwal, Andrew McGregor, Jeff M. Phillips, Suresh Venkatasubramanian, Zhengyuan Zhu. KDD 2006, 24-33. Web SearchBibTeXDownload
3The hunting of the bump: on maximizing statistical discrepancy. Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian. SODA 2006, 1137-1146. Web SearchBibTeXDownload
2005
2The Hunting of the Bump: On Maximizing Statistical Discrepancy. Deepak Agarwal, Jeff M. Phillips, Suresh Venkatasubramanian. CoRR (abs/cs/0510004) (2005). Web SearchBibTeXDownload
1Mining Customer Care Dialogs for "Daily News". Shona Douglas, Deepak Agarwal, Tirso Alonso, Robert M. Bell, Mazin Gilbert, Deborah F. Swayne, Chris Volinsky. IEEE Transactions on Speech and Audio Processing (13): 652-660 (2005). Web SearchBibTeXDownload
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References
1. ^ WWW2010 – Raleigh: Committee - Retrieved 2009-11-23 - details
2. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
3. ^ KDD 2007 Conference - Organizers Page - Retrieved 2009-11-21 - details
4. ^ KDD 2006 Conference - Organizers - Retrieved 2009-11-21 - details
5. ^ CIKM 2008 | Call for Participation - Retrieved 2009-11-21 - details
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