Crab - A Python Library for Recommendation Engines This library intends to be a reference for recommendation engines in Python Programming language. It is written in pure python to maximize the cross-platform issue and exposes the recommendation logic to your application by easy to use API REST via web services. The library is extensible, so the user can create new representations, algorithms and the design is optimized for performance. It is also open-source so everyone can use it. If you want to see our plan release/roadmap, please take a look at our Issues Tracker: http://github.com/marcelcaraciolo/crab/issues
This library intends to be a reference for recommendation engines in Python
Overview
Graph Neural Network based Social Recommendation Model. SIGIR2019.
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This is our implementation of GHCF: Graph Heterogeneous Collaborative Filtering (AAAI 2021)
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The implementation of the submitted paper "Deep Multi-Behaviors Graph Network for Voucher Redemption Rate Prediction" in SIGKDD 2021 Applied Data Science Track.
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Recommender systems are the systems that are designed to recommend things to the user based on many different factors
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Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks
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It is a movie recommender web application which is developed using the Python.
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NVIDIA Merlin is an open source library designed to accelerate recommender systems on NVIDIA’s GPUs.
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Books Recommendation With Python
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