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Ritesh Agarwal
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2020 – today
- 2020
- [c3]Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao:
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CIKM 2020: 2821-2828 - [i3]Kishaloy Halder, Heng-Tze Cheng, Ellie Ka In Chio, Georgios Roumpos, Tao Wu, Ritesh Agarwal:
Modeling Information Need of Users in Search Sessions. CoRR abs/2001.00861 (2020) - [i2]Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao:
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CoRR abs/2008.02930 (2020)
2010 – 2019
- 2019
- [c2]Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Tushar Chandra, Craig Boutilier:
SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets. IJCAI 2019: 2592-2599 - [i1]Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal, Rui Wu, Heng-Tze Cheng, Morgane Lustman, Vince Gatto, Paul Covington, Jim McFadden, Tushar Chandra, Craig Boutilier:
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology. CoRR abs/1905.12767 (2019)
2000 – 2009
- 2008
- [c1]Ritesh Agarwal, T. V. Prabhakar, Sugato Chakrabarty:
"I Know What You Feel": Analyzing the Role of Conjunctions in Automatic Sentiment Analysis. GoTAL 2008: 28-39 - 2007
- [j1]Sarath Indrakanti, Vijay Varadharajan, Ritesh Agarwal:
On the design, implementation and application of an authorisation architecture for web services. Int. J. Inf. Comput. Secur. 1(1/2): 64-108 (2007)
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