Skip to main content
Article thumbnail
Location of Repository

weHelp: A Reference Architecture for Social Recommender Systems

By Swapneel Sheth, Nipun Arora, Christian Murphy and Gail Kaiser

Abstract

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.

Year: 2011
OAI identifier: oai:CiteSeerX.psu:10.1.1.184.7432
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.psl.cs.columbia.edu... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.