Probabilistic Topic Model for Hybrid Recommender Systems: A Stochastic Variational Bayesian Approach
Published Online:21 Nov 2018https://doi.org/10.1287/mksc.2018.1113
Supplemental Material
The replication files for this article are available HERE.
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Corresponding Author
Asim Ansari
http://orcid.org/0000-0001-6964-6297
Marketing Division, Columbia Business School, Columbia University, New York, New York 10027;
Yang Li
http://orcid.org/0000-0002-7380-1883
Marketing, Cheung Kong Graduate School of Business, Beijing 100738, China;
Jonathan Z. Zhang
http://orcid.org/0000-0002-9559-0626
Department of Marketing and International Business, Foster School of Business, University of Washington, Seattle, Washington 98195
Corresponding Author
Asim Ansari
http://orcid.org/0000-0001-6964-6297
Marketing Division, Columbia Business School, Columbia University, New York, New York 10027;
Yang Li
http://orcid.org/0000-0002-7380-1883
Marketing, Cheung Kong Graduate School of Business, Beijing 100738, China;
Jonathan Z. Zhang
http://orcid.org/0000-0002-9559-0626
Department of Marketing and International Business, Foster School of Business, University of Washington, Seattle, Washington 98195
The replication files for this article are available HERE.

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