Peer-Reviewed Journal Details
Mandatory Fields
Griffith, J,O'Riordan, C,Sorensen, H;
2006
June
Recent Advances In Constraints, 12th Annual Ercim International Workshop
A constrained spreading activation approach to collaborative filtering
Validated
()
Optional Fields
RECOMMENDER SYSTEMS GRAPH ANALYSIS RETRIEVAL
4253
766
773
In this paper, we describe a collaborative filtering approach that aims to use features of users and items to better represent the problem space and to provide better recommendations to users. The goal of the work is to show that a graph-based representation of the problem domain, and a constrained spreading activation approach to effect retrieval, has as good, or better, performance than a traditional collaborative filtering approach using Pearson Correlation. However, in addition, the representation and approach proposed can be easily extended to incorporate additional information.
Grant Details