Europeanars
A Hybrid Learning Object Recommender System based on Europeana
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Qdrant | 15,789 | 5 months ago | 212 | apache-2.0 | Rust | |||||
| Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/ | ||||||||||
| Content Engine | 506 | 3 years ago | 9 | Python | ||||||
| A very simple content-based recommendation engine. Great for learning, but also ready for real-world use. | ||||||||||
| Ajax Movie Recommendation System With Sentiment Analysis | 449 | 5 months ago | 13 | Jupyter Notebook | ||||||
| A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user | ||||||||||
| Recsys_course_at_polimi | 346 | 6 months ago | 3 | agpl-3.0 | Jupyter Notebook | |||||
| This is the official repository for the Recommender Systems course at Politecnico di Milano. | ||||||||||
| Newsrecommender | 144 | 7 years ago | 1 | Jupyter Notebook | ||||||
| A news recommendation system tailored for user communities | ||||||||||
| Simple_recommender | 105 | 1 | 3 years ago | 3 | February 19, 2017 | 9 | mit | Ruby | ||
| A simple recommendation engine for Rails/Postgres | ||||||||||
| Neural Attentive Item Similarity Model | 100 | 5 years ago | 4 | Python | ||||||
| TensorFlow Implementation of Neural Attentive Item Similarity Model for Recommendation on TKDE 2018 | ||||||||||
| Consimilo | 53 | 5 years ago | 2 | February 10, 2019 | 1 | apache-2.0 | Clojure | |||
| A Clojure library for querying large data-sets on similarity | ||||||||||
| Tasty | 28 | 10 years ago | 1 | January 09, 2014 | other | Go | ||||
| cf based recommendation system library written in golang | ||||||||||
| Movie_recommender | 27 | a year ago | Jupyter Notebook | |||||||
| Recommender system for movies | ||||||||||
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