Best Practices on Recommendation Systems
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Updated
Sep 17, 2024 - Python
Best Practices on Recommendation Systems
LibRec: A Leading Java Library for Recommender Systems, see
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.
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.
Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
recommender system tutorial with Python
Machine learning movie recommending 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。
A general purpose recommender metrics library for fair evaluation.
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
A GenAI-powered Kubetools Recommender System
Repository for EDM2021 paper - "Recommending Knowledge Concepts on MOOC Platforms with Meta-path-based Representation Learning"
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.
Recommendation engine using collaborative filtering and matrix factorization
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