Collaborative filtering with interlaced Generalized Linear Models

Delannay, Nicolas;Verleysen, Michel
(2007) European Symposium on Artificial Neural Networks (ESANN 2007) — Location: Bruges (Belgium) (25.April.2007)

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Collaborative Filtering (CF) aims at finding patterns in a sparse matrix of contingency. It can be used for example to mine the ratings given by users on a set of items. In this paper, we introduce a new model for CF based on the Generalized Linear Models formalism. Interestingly, it shares specificities of the model-based and the factorization approaches. The model is simple, and yet it performs very well on the popular MovieLens and Jester datasets.
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Delannay, N., & Verleysen, M. (2007). Collaborative filtering with interlaced Generalized Linear Models. Proceedings of the 2007 European Symposium on Artificial Neural Networks (ESANN 2007), p. 247-252. https://hdl.handle.net/2078.5/231682