There are 28 repositories under recommender topic.
Best Practices on Recommendation Systems
A Python scikit for building and analyzing recommender systems
LibRec: A Leading Java Library for Recommender Systems, see
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Machine learning movie recommending system
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
A general purpose recommender metrics library for fair evaluation.
recommender system tutorial with Python
🌟 국내 스타트업 목록 및 설명 🌟
9 tools for Goodreads.com, for finding people based on the books they’ve read, finding books popular among the people you follow, following new book reviews, etc
基于RFM和决策树模型构建专家推荐系统。融合了RFM模型和决策树模型,结合专业运营人员的业务经营,发掘潜在用户,进行推荐营销召回。
Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)
🎥 Movie Recommender AI System
Recommendation engine using collaborative filtering and matrix factorization
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels
Dice.com's relevancy feedback solr plugin created by Simon Hughes (Dice). Contains request handlers for doing MLT style recommendations, conceptual search, semantic search and personalized search
Recommendation models that use binary rather than floating point operations at prediction time.
Pytorch implementation of "Behaviour Sequence Transformer for E-commerce Recommendation" as a seq2seq predictor.
Sequence-to-Sequence Generative Model for Sequential Recommender System
Episimmer is an Epidemic Simulation Framework for Decision Support. It is a highly flexible system that can be easily configured to help take decisions during an epidemic in closed communities like university campuses and gated communities.
Real-time Relevant Recommendation Suggestion
Simple CLI Tool For Generating Available Telegram Usernames
Collaborative Filtering NN and CNN based recommender implemented with MXNet
lightweight contextual bandit library for ts/js
Board game recommendation engine