GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
Consumer trust in an Internet store
Information Technology and Management
The attraction of personalized service for users in mobile commerce: an empirical study
ACM SIGecom Exchanges - Mobile commerce
Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites
Information Systems Research
Web Personalization as a Persuasion Strategy: An Elaboration Likelihood Model Perspective
Information Systems Research
Journal of Management Information Systems
The Impact of Infusing Social Presence in the Web Interface: An Investigation Across Product Types
International Journal of Electronic Commerce
Mobile push personalization and user experience
AI Communications - Recommender Systems
Recommendation Agents for Electronic Commerce: Effects of Explanation Facilities on Trusting Beliefs
Journal of Management Information Systems
User acceptance of hedonic information systems
MIS Quarterly
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Providing recommendations is acknowledged to be an important feature of a business-to-consumer online storefront. Although many studies have examined the algorithms and operational procedures relevant to personalized recommender systems, empirical evidence demonstrating relationships between social presence and two important outcomes of evaluating recommender systems-reuse intention and trust-remains lacking. To test the existence of a causal link between social presence and reuse intention, and the mediating role of trust between these two variables, this study conducted experiments varying the level of social presence while providing personalized recommendations to users based on their explicit preferences. This study also compared these effects in two different product contexts: hedonic and utilitarian. The results show that greater social presence increases both reuse intention and trust in the recommender systems. Moreover, the influence of social presence on reuse intention with respect to utilitarian products is less than that with respect to hedonic products.