Deconstructing Hedonic Experiences Using Tensor Factorization

In this talk we propose to use tensor factorization to the problem of deconstructing users’ hedonic experiences. This involves (i) delineating the number of unique experiences, (ii) qualitatively describing each experience, and (iii) finding the valence of each experience (positive, negative or neutral). We also show how to link user characteristics to the likelihood of undergoing each experience.



Citation:

Karsten T. Hansen and Vishal Singh (2017) ,"Deconstructing Hedonic Experiences Using Tensor Factorization", in LA - Latin American Advances in Consumer Research Volume 4, eds. Enrique P. Becerra, Ravindra Chitturi, and Maria Cecilia Henriquez Daza and Juan Carlos Londoño Roldan, Duluth, MN : Association for Consumer Research, Pages: 1-4.

Authors

Karsten T. Hansen, University of California, San Diego, USA
Vishal Singh, New York University, USA



Volume

LA - Latin American Advances in Consumer Research Volume 4 | 2017



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