blei-lab / ctr

Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.

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ctr

Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings. Written by Chong Wang. Fun fact: this inspired the New York Times' engine (blog post)!

Demo

http://www.cs.cmu.edu/~chongw/data/citeulike/

Sample data

http://www.cs.cmu.edu/~chongw/data/citeulike/

Reference

Chong Wang and David M. Blei. Collaborative topic modeling for recommending scientific articles. In KDD 2011. PDF

About

Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend items to users based on item content and other users' ratings.

License:GNU General Public License v2.0


Languages

Language:C++ 74.8%Language:Shell 17.8%Language:C 6.1%Language:Makefile 1.4%