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The weHelp Reference Architecture for Community-Driven Recommender Systems

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

Title:
The weHelp Reference Architecture for Community-Driven Recommender Systems
Author(s):
Sheth, Swapneel Kalpesh
Arora, Nipun
Murphy, Christian
Kaiser, Gail E.
Date:
Type:
Technical reports
Department:
Computer Science
Permanent URL:
Series:
Columbia University Computer Science Technical Reports
Part Number:
CUCS-013-10
Publisher:
Department of Computer Science, Columbia University
Publisher Location:
New York
Abstract:
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.
Subject(s):
Computer science
Item views:
191
Metadata:
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