Best Practices on Recommendation Systems
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Updated
Aug 15, 2024 - Python
Best Practices on Recommendation Systems
A GenAI-powered Kubetools Recommender System
Recommender for suggesting letter writers 👍
Filters books in lists and shelves, or makes recommendations based on your previous reads.
A unified, comprehensive and efficient recommendation library
Concise summary of all major recommender algorithms and concepts
Live web application demonstrating personalized recommendations for books and mangas implemented using collaborative filtering based recommender systems
A Python implementation of LightFM, a hybrid recommendation algorithm.
Board game recommendation service
[Pytorch] Generative retrieval model based on RQ-VAE from "Recommender Systems with Generative Retrieval"
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
PPR - Portrait Painting Recommendation System - Using Deep Learning (MobileNet Model, Wikiart dataset)
This is the official repository of "EDGE-Rec: Efficient and Data-Guided Edge Diffusion for Recommender System Graphs" (GenAIRecP @ KDD 2024)
A Python scikit for building and analyzing recommender systems
A framework for development and evaluation of LLM based components in recommendation systems
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
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