Thought this was cool: SVDFeature: A Toolkit for Feature-based Collaborative Filtering – implementation –
In this paper we introduce SVDFeature, a machine learning toolkit for feature-based collaborative ﬁltering. SVDFeature is designed to efﬁciently solve the feature-based matrix factorization. The feature-based setting allows us to build factorization models incorporating side information such as temporal dynamics, neighborhood relationship, and hierarchical information. The toolkit is capable of both rate prediction and collaborative ranking, and is carefully designed for efﬁcient training on large-scale data set. Using this toolkit, we built solutions to win KDD Cup for two consecutive years.
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