The code of the online experiment that I conducted in order to perform A/B testing for my masters thesis. It consists of two recommender systems: one based on an algorithms developed for the thesis that incorporates pairwise preferences, the other based on matrix factorization - a state of the art in collaborative filtering. The website implemented using Play framework. Backend written in Java, frontend - in Javascript. DB used - PostgreSQL. Currently deployed on Heroku but the experiment is finished and it will be closed soon.
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A/B testing experiment comparing two recommender systems: one based on an algorithm developed for my MSc, other - based on matrix factorization (a state of the art in collaborative filtering).
laurita/binaryrecommender
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A/B testing experiment comparing two recommender systems: one based on an algorithm developed for my MSc, other - based on matrix factorization (a state of the art in collaborative filtering).
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