Best Practices on Recommendation Systems
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Updated
Oct 9, 2024 - Python
Best Practices on Recommendation Systems
A Python scikit for building and analyzing recommender systems
A Python implementation of LightFM, a hybrid recommendation algorithm.
A unified, comprehensive and efficient recommendation library
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.
A GenAI-powered Kubetools Recommender System
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。
Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
[Pytorch] Generative retrieval model based on RQ-VAE from "Recommender Systems with Generative Retrieval"
A content-based recommender system for books using the Project Gutenberg text corpus
Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels
Pytorch implementation of "Behaviour Sequence Transformer for E-commerce Recommendation" as a seq2seq predictor.
Sequence-to-Sequence Generative Model for Sequential Recommender System
Real-time Relevant Recommendation Suggestion
Simple CLI Tool For Generating Available Telegram Usernames
Collaborative Filtering NN and CNN based recommender implemented with MXNet
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