Search Results for author: Raghunandan Keshavan

Found 2 papers, 0 papers with code

Aligning Large Language Models with Recommendation Knowledge

no code implementations30 Mar 2024 Yuwei Cao, Nikhil Mehta, Xinyang Yi, Raghunandan Keshavan, Lukasz Heldt, Lichan Hong, Ed H. Chi, Maheswaran Sathiamoorthy

Operations such as Masked Item Modeling (MIM) and Bayesian Personalized Ranking (BPR) have found success in conventional recommender systems.

Attribute Recommendation Systems +1

Better Generalization with Semantic IDs: A case study in Ranking for Recommendations

no code implementations13 Jun 2023 Anima Singh, Trung Vu, Raghunandan Keshavan, Nikhil Mehta, Xinyang Yi, Lichan Hong, Lukasz Heldt, Li Wei, Ed Chi, Maheswaran Sathiamoorthy

We showcase how we use them as a replacement of item IDs in a resource-constrained ranking model used in an industrial-scale video sharing platform.

Recommendation Systems

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