Factual and Personalized Recommendations using Language Models and Reinforcement Learning

no code implementations • 9 Oct 2023 • Jihwan Jeong, Yinlam Chow, Guy Tennenholtz, Chih-Wei Hsu, Azamat Tulepbergenov, Mohammad Ghavamzadeh, Craig Boutilier

Recommender systems (RSs) play a central role in connecting users to content, products, and services, matching candidate items to users based on their preferences.

Language Modelling Recommendation Systems +1

Demystifying Embedding Spaces using Large Language Models

no code implementations • 6 Oct 2023 • Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier

Embeddings have become a pivotal means to represent complex, multi-faceted information about entities, concepts, and relationships in a condensed and useful format.

Dimensionality Reduction Recommendation Systems