The weHelp Reference Architecture for Community-Driven Recommender Systems

Sheth, Swapneel Kalpesh; Arora, Nipun; Murphy, Christian; Kaiser, Gail E.

Recommender systems have become increasingly popular. Most 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. Our architecture is designed to be application and domain agnostic, but we briefly discuss here how it applies to recommender systems for software engineering.



More About This Work

Academic Units
Computer Science
Department of Computer Science, Columbia University
Columbia University Computer Science Technical Reports, CUCS-013-10
Published Here
June 8, 2011