Personalized Recommendations With Matrix Factorization Models That Take Into Account User Information

Additional Metadata
Keywords	Recommendation Systems, Matrix Factorization, Side information, Regression-based matrix factorization, extended matrix factorization
Thesis Advisor	Donkers, A.C.D.
Persistent URL	hdl.handle.net/2105/51134
Series	Business Economics
Organisation	Erasmus School of Economics
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Geffen, F.M. van (Freek). (2019). Personalized Recommendations With Matrix Factorization Models That Take Into Account User Information. In Business Economics.http://hdl.handle.net/2105/51134

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