A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
☆412Apr 25, 2021Updated 4 years ago
Alternatives and similar repositories for Recommender-System
Users that are interested in Recommender-System are comparing it to the libraries listed below
Sorting:
- A tensorflow implementation of Knowledge Graph Convolutional Networks☆523Jan 9, 2024Updated 2 years ago
- Recommender Learning with Tensorflow2.x☆1,983Apr 29, 2022Updated 3 years ago
- A tensorflow implementation of RippleNet☆593Oct 8, 2020Updated 5 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆255Apr 4, 2020Updated 5 years ago
- CTR模型代码和学习笔记总结☆396Aug 28, 2021Updated 4 years ago
- A PyTorch implementation of RippleNet☆161Apr 19, 2019Updated 6 years ago
- Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benc…☆550Aug 8, 2024Updated last year
- A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF☆47Jul 23, 2020Updated 5 years ago
- 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☆1,022Jan 20, 2024Updated 2 years ago
- 基于知识图谱的推荐算法-RippleNet的实现☆18Nov 29, 2022Updated 3 years ago
- RSTutorials: A Curated List of Must-read Papers on Recommender System.☆6,446Aug 21, 2024Updated last year
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,411Apr 26, 2025Updated 10 months ago
- Next RecSys Library☆1,062Mar 24, 2023Updated 2 years ago
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .☆8,002Aug 9, 2024Updated last year
- A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)☆333Nov 22, 2019Updated 6 years ago
- Classic papers and resources on recommendation☆3,505Oct 16, 2025Updated 4 months ago
- 对KGCN的代码做了一些注释，希望有需要的同学看了后有所帮助。☆37Nov 2, 2020Updated 5 years ago
- CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)☆933Nov 15, 2019Updated 6 years ago
- An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.☆1,165Jun 1, 2022Updated 3 years ago
- ☆1,149Apr 10, 2020Updated 5 years ago
- A tensorflow implementation of DKN (Deep Knowledge-aware Network for News Recommendation)☆417May 25, 2023Updated 2 years ago
- Recommender Systems Paperlist that I am interested in☆449Jul 29, 2021Updated 4 years ago
- UserCF和ItemCF协同过滤推荐算法的实现☆563Feb 24, 2022Updated 4 years ago
- This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural …☆985May 25, 2023Updated 2 years ago
- QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)☆1,642Dec 26, 2023Updated 2 years ago
- A unified, comprehensive and efficient recommendation library☆4,277Feb 24, 2025Updated last year
- “Chorus” of recommendation models: a light and flexible PyTorch framework for Top-K recommendation.☆633Feb 11, 2026Updated 2 weeks ago
- KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019☆1,156Aug 5, 2020Updated 5 years ago
- Tensorflow implementation of DeepFM for CTR prediction.☆2,065Jun 10, 2018Updated 7 years ago
- tensorflow实战练习，包括强化学习、推荐系统、nlp等☆7,000Sep 24, 2023Updated 2 years ago
- 推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/☆291Apr 8, 2021Updated 4 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆103Oct 30, 2023Updated 2 years ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆447May 23, 2023Updated 2 years ago
- ☆218Aug 20, 2020Updated 5 years ago
- CTR prediction model based on spark(LR, GBDT, DNN)☆925Mar 6, 2020Updated 5 years ago
- Knowledge-enhanced Neighborhood Interaction model for recommendation☆62May 20, 2020Updated 5 years ago
- Recommendation system based on knowledge graph embedding☆165Dec 23, 2019Updated 6 years ago
- LR, Wide&Deep, DCN, NFM, DeepFM, NFFM☆116May 2, 2019Updated 6 years ago
- CTR prediction using FM FFM and DeepFM☆753Aug 3, 2018Updated 7 years ago