A constrained spreading activation approach to collaborative filtering

Authors:
Josephine Griffith;Colm O'Riordan;Humphrey Sorensen
Affiliations:
Dept. of Information Technology, National University of Ireland, Galway, Ireland;Dept. of Information Technology, National University of Ireland, Galway, Ireland;Dept. of Computer Science, University College Cork, Cork, Ireland
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2006

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Abstract

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.