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

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

Neural Graph Collaborative Filtering, SIGIR2019

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

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

“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).

[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"