The keepup recommender system

Authors:
Andrew Webster;Julita Vassileva
Affiliations:
University of Saskatchewan, Saskatoon, SK, Canada;University of Saskatchewan, Saskatoon, SK, Canada
Venue:
Proceedings of the 2007 ACM conference on Recommender systems
Year:
2007

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Abstract

In this short paper, we describe our RSS recommender system, KeepUP. Too often recommender systems are seen as black box systems, resulting in general perplexity and dissatisfaction from users who are treated as passive, isolated consumers. Recent literature observes that recommendations rarely occur within such isolation and that there may be potential within more socially-orientated approaches. With KeepUP, we outline the design of a recommendation process that is based on an implicit social network where the relevancy and meaning of information can be negotiated not only with the recommender system but also with other users. Our overall goal is to support the formation and development of online communities of interest.