How Explanations For Recommender Systems Impact Consumer Acceptance

A series of experiments explore how different explanations for recommender systems affect consumer acceptance of recommendations. While both collaborative explanations (e.g., “People who like this also like”) and content-based explanations (e.g., “More comedy shows”) suggest product-matching, only collaborative explanations signals taste-matching. Behavioral consequences are demonstrated.



Citation:

Phyliss J. Gai and Anne-Kathrin Klesse (2019) ,"How Explanations For Recommender Systems Impact Consumer Acceptance", in NA - Advances in Consumer Research Volume 47, eds. Rajesh Bagchi, Lauren Block, and Leonard Lee, Duluth, MN : Association for Consumer Research, Pages: 190-195.

Authors

Phyliss J. Gai, Erasmus University Rotterdam, The Netherlands
Anne-Kathrin Klesse, Erasmus University Rotterdam, The Netherlands



Volume

NA - Advances in Consumer Research Volume 47 | 2019



Share Proceeding

Featured papers

See More

Featured

Less Time, More Procrastination? The Impact of Time Pressure on Task Initiation

Jing Jiang, Renmin University of China
Alisa Yinghao Wu, Columbia University, USA

Read More

Featured

Dimming the Light Offers A Creative Lens: The Impact of Ambient Illuminance on Creativity Assessment

Chen Wang, Drexel University, USA
Ravi Mehta, University of Illinois at Urbana-Champaign, USA
Rui (Juliet) Zhu, Cheung Kong Graduate School of Business, China
Jennifer Argo, University of Alberta, Canada

Read More

Featured

Making the Wait Worthwhile: Mental Accounting and the Effect of Waiting in Line on Consumption

Chris Hydock, Georgetown University, USA
Sezer Ulku, Georgetown University, USA
Shiliang Cui, Georgetown University, USA

Read More

Engage with Us

Becoming an Association for Consumer Research member is simple. Membership in ACR is relatively inexpensive, but brings significant benefits to its members.