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Craig Boutilier — most-cited papers & profile · Recommender Systems
← authors
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overview
Craig Boutilier
22
papers ·
224
citations ·
0
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Most-cited papers
RecSim: A Configurable Simulation Platform for Recommender Systems
2019 · 51 citations
Seq2Slate: Re-ranking and Slate Optimization with RNNs
2018 · 43 citations
Active Collaborative Filtering
2012 · 31 citations
Reinforcement Learning for Slate-based Recommender Systems: A Tractable Decomposition and Practical Methodology
2019 · 23 citations
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach
2020 · 11 citations
Non-Stationary Latent Bandits
2020 · 3 citations
Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities
2021 · 2 citations
Modeling Recommender Ecosystems: Research Challenges at the Intersection of Mechanism Design, Reinforcement Learning and Generative Models
2023 · 1 citations
Synthetic Dialogue Generation for Interactive Conversational Elicitation & Recommendation (ICER)
2025
Factual and Personalized Recommendations using Language Models and Reinforcement Learning
2023
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
2023
Preference Elicitation with Soft Attributes in Interactive Recommendation
2023
Top co-authors
Martin Mladenov
· 4
Mohammad Ghavamzadeh
· 4
Yinlam Chow
· 4
Chih-Wei Hsu
· 3
Eugene Ie
· 2
Guy Tennenholtz
· 2
Rui Wu
· 2
Sanmit Narvekar
· 2
Vihan Jain
· 2
Alan Mackey
· 1
Alex Beutel
· 1
Alex Haig
· 1
Topics
Collaborative Filtering
Ranking & CTR
Sequential & Session
LLM-based
Fairness & Ethics
Two-Tower & Retrieval