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.
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.
Karsten T. Hansen, University of California, San Diego, USA
Vishal Singh, New York University, USA
LA - Latin American Advances in Consumer Research Volume 4 | 2017
Evan Polman, University of Wisconsin - Madison, USA
Sam J. Maglio, University of Toronto Scarborough
Is CSR for Sale? Investigating the Effects of Acquisition of Socially Responsible Brands on CSR Perceptions
Bianca Grohmann, Concordia University, Canada
Argiro Kliamenakis, Concordia University, Canada
H. Onur Bodur, Concordia University, Canada
Which Healthy Eating Nudges Work Best? A Meta-Analysis of Field Experiments
Romain Cadario, IESEG School of Management
Pierre Chandon, INSEAD, France