Recommenders Vs. Recommender Systems

Would you rather get a recommendation from another person, or an algorithm? In five studies, we show that collaborative filtering makes more accurate recommendations, even compared to close others (e.g. spouses). However, recommendation producers do not listen to algorithms and recommendation consumers think that humans are better.



Citation:

Mike Yeomans, Anuj Shah, Sendhil Mullainathan, and Jon Kleinberg (2015) ,"Recommenders Vs. Recommender Systems", in NA - Advances in Consumer Research Volume 43, eds. Kristin Diehl , Carolyn Yoon, and , Duluth, MN : Association for Consumer Research, Pages: 122-126.

Authors

Mike Yeomans, Harvard Business School, USA
Anuj Shah, University of Chicago, USA
Sendhil Mullainathan, Harvard University, USA
Jon Kleinberg, Cornell University, USA



Volume

NA - Advances in Consumer Research Volume 43 | 2015



Share Proceeding

Featured papers

See More

Featured

The Effect of Future Focus on Self-Control is Moderated by Self-Efficacy

Rafay A Siddiqui, Hong Kong Polytechnic University
Jane Park, University of California Riverside, USA
Frank May, Virginia Tech, USA

Read More

Featured

M10. I Need a Hero: How Loneliness Interacts with the Symbolic Meaning of Products to Affect Consumer Attitude

Sirajul Arefin Shibly, SUNY Binghamton, USA
Jinfeng Jiao, SUNY Binghamton, USA

Read More

Featured

Enhancing the Effectiveness of Narratives Among Vaccine-Skeptical Parents

Sandra Praxmarer-Carus, Universität der Bundeswehr München
Stefan Wolkenstoerfer, Universität der Bundeswehr München

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.