Very interesting. I've implemented something similar[1] using a pure Collaborative Filtering approach[2][3], that I think works better for me, but it's unable t

Very interesting. I've implemented something similar[1] using a pure Collaborative Filtering approach[2][3], that I think works better for me, but it's unable to recommend unpopular repositories. The New York Times recommender system uses a hybrid approach (Content Based + Collaborative Filtering) called Collaborative Topic Modeling on top of LDA[4]. It would be interesting to try that. [1]: https://github-recs.appspot.com/ https://github-recs.appspot.com/ [2]: https://medium.com/towards-data-science/recommending-github-repositories-with-google-bigquery-and-the-implicit-library-e6cce666c77 https://medium.com/towards-data-science/recommending-github-... [3]: https://github.com/jbochi/facts https://github.com/jbochi/facts [4]: https://open.blogs.nytimes.com/2015/08/11/building-the-next-new-york-times-recommendation-engine/ https://open.blogs.nytimes.com/2015/08/11/building-the-next-...