Best Practices on Recommendation Systems
-
Updated
Nov 18, 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
Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
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)
Add a description, image, and links to the recommender topic page so that developers can more easily learn about it.
To associate your repository with the recommender topic, visit your repo's landing page and select "manage topics."