Ritesh Agarwal

Publication Activity (10 Years)

Years Active: 2007-2020
Publications (10 Years): 5

Top Topics

User Preferences

Reinforcement Learning

Recommender Systems

Cold Start Problem

Top Venues

Publications

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 (2020)
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)
Kishaloy Halder, Heng-Tze Cheng, Ellie Ka In Chio, Georgios Roumpos, Tao Wu, Ritesh Agarwal
Modeling Information Need of Users in Search Sessions. CoRR (2020)
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)
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 (2019)
Ritesh Agarwal, T. V. Prabhakar, Sugato Chakrabarty
"I Know What You Feel": Analyzing the Role of Conjunctions in Automatic Sentiment Analysis. GoTAL (2008)
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) (2007)