Multi-topic information filtering with a single user profile

Nanas, Nikolaos, Uren, Victoria, de Roeck, Anne and Domingue, John (2004). Multi-topic information filtering with a single user profile. IN: UNSPECIFIED Vouros, George A. and Panayiotopoulos, Themistoklis (eds) Lecture notes in computer science . Berlin (DE): Springer.


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.

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Divisions: Aston Business School > Operations & information management
Event Title: 3rd Hellenic Conference on Artificial Intelligence
Event Type: Other
Event Dates: 2004-05-05 - 2004-05-08
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Published Date: 2004
Authors: Nanas, Nikolaos
Uren, Victoria
de Roeck, Anne
Domingue, John

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