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weHelp: A Reference Architecture for Social Recommender Systems

9 years 8 months ago
weHelp: A Reference Architecture for Social Recommender Systems
Abstract: Recommender systems have become increasingly popular. Most of the research on recommender systems has focused on recommendation algorithms. There has been relatively little research, however, in the area of generalized system architectures for recommendation systems. In this paper, we introduce weHelp: a reference architecture for social recommender systems - systems where recommendations are derived automatically from the aggregate of logged activities conducted by the system's users. Our architecture is designed to be application and domain agnostic. We feel that a good reference architecture will make designing a recommendation system easier; in particular, weHelp aims to provide a practical design template to help developers design their own well-modularized systems.
Swapneel Sheth, Nipun Arora, Christian Murphy, Gai
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2010
Where SE
Authors Swapneel Sheth, Nipun Arora, Christian Murphy, Gail E. Kaiser
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