Improving social recommender systems Academic Article uri icon

abstract

  • Today, online communities—with their strong ties and built-in relationships—present an op- portunity for enhancing the design of social recommender systems and increasing system pre- diction accuracy. We can use the various relation- ships captured in these communities (phrased as “trust” on Epinions and “reputation” on eBay) in new ways, by incorporating better indicators of relationship information. The potential impact of these social recommender systems is not restricted to the public domain: the recent advent of Enter- prise 2.0—the application of Web 2.0 approaches in enterprises—is expected to bring social recom- mendation techniques to corporate settings. In this article, we present a framework for so- cial recommender systems that is intended to en- hance recommendation accuracy. We model our approach after Arazy and Woo,1 who proposed … Should I Take Your Advice? Online relationships are useful for a variety of …

publication date

  • January 1, 2009