@inproceedings{51121d6320a14c36b71c784ceb9f3dfb,
title = "A constrained spreading activation approach to collaborative filtering",
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.",
author = "Josephine Griffith and Colm O'Riordan and Humphrey Sorensen",
year = "2006",
doi = "10.1007/11893011\_97",
language = "English",
isbn = "3540465421",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "766--773",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems - 10th International Conference, KES 2006, Proceedings",
note = "10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2006 ; Conference date: 09-10-2006 Through 11-10-2006",
}