recommendation

Best Practices on Recommendation Systems

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

A Python scikit for building and analyzing recommender systems

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Classic papers and resources on recommendation

Minimal reproduction of OneRec

Open CLI for integrating AI search, recommendation, and conversational retrieval into agent systems and business systems

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

A curated list of awesome resources about multimodal recommender systems.

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

A Continuously Updated Library for Advanced Models for Multimodal Recommendation

Three examples of recommendation system pipelines with NVIDIA Merlin and Redis

Build Recommender System with PyTorch + Redis + Elasticsearch + Feast + Triton + Flask. Vector Recall, DeepFM Ranking and Web Application.

WWW'24, Mirror Gradient (MG) makes multimodal recommendation models approach flat local minima easier compared to models with normal training.