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.
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/
[2]: https://medium.com/towards-data-science/recommending-github-...
[3]: https://github.com/jbochi/facts
[4]: https://open.blogs.nytimes.com/2015/08/11/building-the-next-...