Sci-Fi worth consuming

👍👎 A recommendation engine using Likes and Dislikes for your Ruby app

A unified, comprehensive and efficient recommendation library

Ten thousand books, six million ratings

Recommendations for secure applications development with Rust

Java-Based Context-aware Recommendation Library

This is a repository of public data sources for Recommender Systems (RS).

Resources recommended by members of our community. We welcome contributions, so feel free to send us pull requests adding things to the list! The resources in this list automatically get pushed to the http://progdisc.club/resources page.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Larafy is a Laravel package for Spotify API. It is more like a wrapper for the Spotify API.

recommender system tutorial with Python

Recommendation engines for developers, easy as π. https://tamber.com

Telemetry-Aware Addon Recommender

📚🐦 Patrick Collison on Twitter: Which five books have influenced you the most? (In terms of shaping your worldview.)

Privacy resources for the layperson. Highlights resources, tools, VPNs, search engines, articles, books, and dark patterns.

Market basket recommendations using association rules and apriori

Recommendation engine in Java. Based on an ALS algorithm (Apache Spark). Train a new model after N seconds.

🐙 Alternative course catalog for Karlsruhe Institute of Technology

Dartmouth Course Reviews, Rankings, and Recommendations

BuiltOn Sneakers Demo Store

Frequent Itemsets via Apriori Algorithm Apriori function to extract frequent itemsets for association rule mining We have a dataset of a mall with 7500 transactions of different customers buying different items from the store. We have to find correlations between the different items in the store. so that we can know if a customer is buying apple, banana and mango. what is the next item, The customer would be interested in buying from the store.

Design and Implementation of a File Recommendation System Using Collaborative Filtering and Content-Based Recommendation for the Nextcloud Platform

This is an end to end Recommendations business scenario

Horror and thrillers worth consuming

🎥  Simple Python implementation of Funk SVD for MovieLens movie collaborative recommendations.

A library class for WordPress plugins to tweak the results of the WordPress Plugins API with custom plugin recommendations.

Periodic (sometimes daily) music recommendations and links to those recommendations

Внедрение и эксплуатация PT Application Inspector. Подробнее: https://habr.com/ru/company/pt/blog/534458/

Constructor.io Client for Web Applications