Federated-Recommendation-Neural-Collaborative-Filtering
disco
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Federated-Recommendation-Neural-Collaborative-Filtering | disco | |
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2 | 4 | |
25 | 523 | |
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3.9 | 5.9 | |
about 1 year ago | 2 months ago | |
Python | Ruby | |
MIT License | MIT License |
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Federated-Recommendation-Neural-Collaborative-Filtering
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Federated-Recommendation-Neural-Collaborative-Filtering
AmanPriyanshu/Federated-Recommendation-Neural-Collaborative-Filtering (github.com)
- Made a Federated Learning (Distributed) Setting for Recommendation Systems
disco
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Recommendations Gem... is it necessary?
We found the "best" gems about the recommendations like disco, predictor or recommendify ... but they are focused to provide item similarities such as "Users that watched this movie also watched ..."
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Machine learning and something similar to product recommendations
I opened a github issue on the Disco repository to explain better my problem https://github.com/ankane/disco/issues/23
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Personalised Data in Ruby on Rails Ecommerce App
disco - https://github.com/ankane/disco
What are some alternatives?
torchrec - Pytorch domain library for recommendation systems
recommendify - Generate recommendations using collaborative filtering
LT-OCF - LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
predictor - Fast and efficient recommendations and predictions using Redis
federeco - implementation of federated neural collaborative filtering algorithm
Symfony DI - Allows you to standardize and centralize the way objects are constructed in your application
recommenders - Best Practices on Recommendation Systems
discord.py - An API wrapper for Discord written in Python.
TIMDB - The Indian Movie Database - supports content-based and collaborative filtering techniques
simple_recommender - A simple recommendation engine for Rails/Postgres