The weHelp Reference Architecture for Community-Driven Recommender Systems


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.

Proceedings of the 2nd International Workshop on Recommendation Systems for Software Engineering, Cape Town, South Africa, May 2010