most citedCounterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions

47 citations · 69 across the 6 of their papers we have counts for

collaborators

8 papers

cs.IR20216 cited

Podcast Metadata and Content: Episode Relevance andAttractiveness in Ad Hoc Search

Ben Carterette, Rosie Jones, Gareth F. Jones +6

Rapidly growing online podcast archives contain diverse content on a wide range of topics. These archives form an important resource for entertainment and professional use, but the…

cs.IR2021

Estimation of Fair Ranking Metrics with Incomplete Judgments

Ömer Kırnap, Fernando Diaz, Asia Biega +3

There is increasing attention to evaluating the fairness of search system ranking decisions. These metrics often consider the membership of items to particular groups, often identi…

stat.ML20211 cited

Model Selection for Production System via Automated Online Experiments

Zhenwen Dai, Praveen Chandar, Ghazal Fazelnia +2

A challenge that machine learning practitioners in the industry face is the task of selecting the best model to deploy in production. As a model is often an intermediate component…

cs.LG20203 cited

Trajectory Based Podcast Recommendation

Greg Benton, Ghazal Fazelnia, Alice Wang +1

Podcast recommendation is a growing area of research that presents new challenges and opportunities. Individuals interact with podcasts in a way that is distinct from most other me…

cs.LG202047 cited

Counterfactual Evaluation of Slate Recommendations with Sequential Reward Interactions

James McInerney, Brian Brost, Praveen Chandar +2

Users of music streaming, video streaming, news recommendation, and e-commerce services often engage with content in a sequential manner. Providing and evaluating good sequences of…

cs.IR202012 cited

Recommending Podcasts for Cold-Start Users Based on Music Listening and Taste

Zahra Nazari, Christophe Charbuillet, Johan Pages +4

Recommender systems are increasingly used to predict and serve content that aligns with user taste, yet the task of matching new users with relevant content remains a challenge. We…