Recommendation Python Packages

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

scikit-surprise

A Python scikit for building and analyzing recommender systems

recommenders

Best Practices on Recommendation Systems

deepctr

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

mab2rec

[AAAI 2024] Mab2Rec: Multi-Armed Bandits Recommender

rankfm

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

rtrec

An realtime recommendation system supporting online updates

srdatasets

A collection of research ready datasets for sequential recommendation

deepmatch

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.

gbiz-torch

A comprehensive toolkit package designed to help you accurately predict key metrics in commercial area

ezsasrec

An easy and efficient tool to build sequential recommendation system utilizing SASRec

crslab

An Open-Source Toolkit for Building Conversational Recommender System(CRS)

pre-reco-utils

Recommender System Utilities

pysarplus

SAR prediction for use with PySpark

scikit-surprise-2

An easy-to-use library for recommender systems.

recommender-utils

Recommender System Utilities

socialvec

SocialVec: Capturing the social dimension of world knowledge

fashion-recommenders

Implementation of "Fashion Outfit Complementary Item Retrieval(CVPR 2020)"

funrec

funrec

reczoo

A box of core libraries for recommendation model development

prediction-flow

Deep-Learning based CTR models implemented by PyTorch

bluewhale3-recommendation

Orange3 add-on for recommender systems

blauwal3-recommendation

蓝鲸数据挖掘软件包的推荐系统附加组件。

wbimplicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets