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  • Recommender Systems - Reddit
    I wanted to build a recommendation system around fashion images and whether a person would like an article of clothing or not To generate embeddings for an image, I think it was said that pre-trained models are the best options like ResNet and OpenAI Clip
  • grahamjenson list_of_recommender_systems - GitHub
    The open-source recommender systems are: The Universal Recommender Is built on the modern Correlated Cross-Occurrence Algorithm that uses many indicators of user taste, and so can target most use cases
  • Building a Reddit Recommendation System | by Doug Rizio - Medium
    So, let’s solve this hypothetical problem, and learn how to build a Reddit recommendation system That way, whatever the universe our users are in, we can help them find their next favorite
  • [P] Gorse: An open-source recommender system service - Reddit
    Gorse aims to be a universal open-source recommender system that can be quickly introduced into a wide variety of online services By importing items, users, and interaction data into Gorse, the system will automatically train models to generate recommendations for each user
  • Home | Gorse
    Gorse is an open-source recommendation system written in Go Gorse aims to be a universal open-source recommender system that can be easily introduced into a wide variety of online services By importing items, users and interaction data into Gorse, the system will automatically train models to generate recommendations for each user
  • Top 5 Open-Source Machine Learning Recommender System Projects . . . - Medium
    Recommender systems aim to predict users’ interests and recommend product items that are quite interesting They are among the most powerful machine learning systems that online retailers implement to drive sales
  • GitHub - recommenders-team recommenders: Best Practices on . . .
    This repository contains examples and best practices for building recommendation systems, provided as Jupyter notebooks The examples detail our learnings on five key tasks: Prepare Data : Preparing and loading data for each recommendation algorithm
  • Subreddit Recommendations within Reddit Communities - Stanford University
    ABSTRACT: We describe the creation of a recommendation system for Reddit, a social news and entertainment site where community members can submit content in the form of text posts, links, or images Our dataset consists of 23,091,688 votes from 43,976 users over 3,436,063 links in 11,675 subreddits
  • [D] Any open source libraries for Recommender Systems? - Reddit
    I am struggling to find libraries that have implementations of existing cross-domain recommendation algorithms If any of you know about open source recommendation libraries, that would be very helpful to me
  • RECOMMENDER - R4TINGS
    R4tings Recommender is a Java and Apache Spark based open source recommendation engine We provide a workbook together with the core code for implementation of the recommender system and a workbook containing code examples





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