Best Practices on Recommendation Systems
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Updated
Jun 29, 2024 - Python
Best Practices on Recommendation Systems
A GenAI-powered Kubetools Recommender System
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
[Pytorch] Generative retrieval model based on RQ-VAE from "Recommender Systems with Generative Retrieval"
This is the official repository of "EDGE-Rec: Efficient and Data-Guided Edge Diffusion for Recommender System Graphs"
A Python scikit for building and analyzing recommender systems
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
recommender system tutorial with Python
A unified, comprehensive and efficient recommendation library
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。
A Python implementation of LightFM, a hybrid recommendation algorithm.
Evaluating and comparing recommender system models using MovieLens-Ratings dataset
Board game recommendation service
This is the official implementation for our paper Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility, accepted by ICMR'23.
Sequence-to-Sequence Generative Model for Sequential Recommender System
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
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