Paper List of Pre-trained Foundation Recommender Models

A Large Short-video Recommendation Dataset with Raw Text/Audio/Image/Videos (Talk Invited by DeepMind).

End-to-end Training for Multimodal Recommendation Systems

🔥🔥🔥 Latest Advances on Large Recommendation Models

Multimodal Dataset and Benchmark for Multi-domain and Cross-domain Recommendation System

Updating curated list of research advancements on item identification and item tokenization in generative recommender systems. The survey is titled "A Survey of Item Identifiers in Generative Recommendation: Construction, Alignment, and Generation"

A repository listing important datasets for multimodal recommender systems

This project fine-tunes large language models (LLMs) for text-based recommendations, using a novel prompt mechanism to improve accuracy and user satisfaction. It demonstrates efficient model adaptation with diverse datasets, leveraging advanced libraries and techniques for optimal performance.

[EMNLP 2025] A Free Lunch from Large Language Models for Selective Initialization of Recommendation