lmcRS/AWS-recommendation-papers

RSTutorials: A Curated List of Must-read Papers on Recommender System.

Awesome Generative Recommendation papers primarily focused on industry-level applications.

[TMM'26] Continuously Updated Awesome Multimodal Recommendation Paper List

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).

A Continuously Updated Library for Advanced Models for Multimodal Recommendation

A Comparative Framework for Multimodal Recommender Systems

This compendium reviews significant published research contributions and industrial engineering practices in leveraging Generative AI and LLMs for developing search, recommender, personalization, and question-answering systems. It aims to cover the entire spectrum of research and practices