Abstract
In social recommendation systems, users often publicly rate objects such as photos, news articles or consumer products. When they appear in aggregate, these ratings carry social signals such as the direction and strength of the raters' average opinion about the product. Using a controlled experiment we manipulated two central social signals-the direction and strength of social ratings of five popular consumer products-and examined their interacting effects on users' ratings. The results show an asymmetric user behavior, where the direction of perceived social rating has a negative effect on users' ratings if the direction of perceived social rating is negative, but no effect if the direction is positive. The strength of perceived social ratings did not have a significant effect on users' ratings. The findings highlight the potential for cascading adverse effects of small number of negative user ratings on subsequent users' opinions.
Original language | English |
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Title of host publication | RecSys 2015 - Proceedings of the 9th ACM Conference on Recommender Systems |
Publisher | Association for Computing Machinery, Inc |
Pages | 249-252 |
Number of pages | 4 |
ISBN (Electronic) | 9781450336925 |
DOIs | |
State | Published - 16 Sep 2015 |
Event | 9th ACM Conference on Recommender Systems, RecSys 2015 - Vienna, Austria Duration: 16 Sep 2015 → 20 Sep 2015 |
Conference
Conference | 9th ACM Conference on Recommender Systems, RecSys 2015 |
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Country/Territory | Austria |
City | Vienna |
Period | 16/09/15 → 20/09/15 |
Bibliographical note
Publisher Copyright:© 2015 ACM.
Keywords
- Anchoring
- Recommender systems
- Social influence
- Social signals
- Theory-driven design
ASJC Scopus subject areas
- Information Systems
- Software
- Computer Science Applications
- Control and Systems Engineering