CoFiRank An open source library for collaborative filtering and matrix factorization
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CoFiRank Tags

filter Matrix collaborative filtering matrix factorization factorize matrix factorize

CoFiRank Description

An open source library for collaborative filtering and matrix factorization CoFiRank's goal is to predict preferences of users based on past ratings by them and other users.CoFiRank is a free and open source library for matrix factorization and collaborative filtering. Here are some key features of "CoFiRank": · Cofi can make use of state of the art optimization technology, making it feasible to run on the largest data sets available. Cofi can be run on a single machine with modderate memory requirements (2GB) to train on the Netflix dataset with its 100.000.000 entries. · Cofi is able to do structured prediction, e.g. by predicting the relative order with which you like movies instead of the absolute rating you would give them. This allows for models that are better suited to predict what you like than dislike. This property is important for recommender systems. · Cofi can be parallelized easily to take advantage of multi core machines or clusters of workstations.

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