Best Practices on Recommendation Systems
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Updated
Dec 23, 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.
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
A unified, comprehensive and efficient recommendation library
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
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。
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
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
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)
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