Conference Publication Details
Mandatory Fields
Josephine Griffith, Colm O'Riordan, Humphrey Sorensen
10th International Conference on Knowledge-Based & Intelligent Information & Engineering Systems (KES), Invited Session on Recommender Agents and Adaptive Web-based Systems
A constrained spreading activation approach to collaborative filtering
2006
October
Published
1
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Optional Fields
RECOMMENDER SYSTEMS GRAPH ANALYSIS RETRIEVAL
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
Publication Themes
Informatics, Physical and Computational Sciences