Nanas, Nikolaos; Uren, Victoria; De Roeck, Anne and Domingue, John
(2004).
| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.1007/b97168 |
|---|---|
| Google Scholar: | Look up in Google Scholar |
Abstract
In Information Filtering (IF) a user may be interested in several topics in parallel. But IF systems have been built on representational models derived from Information Retrieval and Text Categorization, which assume independence between terms. The linearity of these models results in user profiles that can only represent one topic of interest. We present a methodology that takes into account term dependencies to construct a single profile representation for multiple topics, in the form of a hierarchical term network. We also introduce a series of non-linear functions for evaluating documents against the profile. Initial experiments produced positive results.
| Item Type: | Conference Item |
|---|---|
| Copyright Holders: | 2004 Springer |
| ISBN: | 3-540-21937-4, 978-3-540-21937-8 |
| ISSN: | 0302-9743 |
| Academic Unit/Department: | Mathematics, Computing and Technology > Computing Knowledge Media Institute Mathematics, Computing and Technology |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 19291 |
| Depositing User: | Colin Smith |
| Date Deposited: | 22 Dec 2009 12:02 |
| Last Modified: | 29 Sep 2011 10:12 |
| URI: | http://oro.open.ac.uk/id/eprint/19291 |
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