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

Recommend new arxiv papers of your interest daily according to your Zotero libarary.

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Classic papers and resources on recommendation

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Minimal reproduction of OneRec

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

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

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

毒奶博主的自用机场推荐——150GB/14元/月起，SS/v2Ray/Trojan协议支持，IEPL专线加持，稳定低延迟，ChatGPT，Netflix等流媒体解锁；

“Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).