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Semantically Enhanced User Modeling
Conference proceeding

Semantically Enhanced User Modeling

Palakorn Achananuparp, Hyoil Han, Olfa Nasraoui, Roberta Johnson and ACM
APPLIED COMPUTING 2007, VOL 1 AND 2, pp 1335-1339
01 Jan 2007
DOI: https://doi.org/10.1145/1244002.1244291

Abstract

Computer Science Computer Science, Interdisciplinary Applications Science & Technology Technology
Content-based implicit user modeling techniques usually employ a traditional term vector as a representation of the user's interest. However, due to the problem of dimensionality in the vector space model, a simple term vector is not a sufficient representation of the user model as it ignores the semantic relations between terms. In this paper, we present a novel method to enhance a traditional term-based user model with WordNet-based semantic similarity techniques. To achieve this, we use word definitions and relationship hierarchies in WordNet to perform word sense disambiguation and employ domain-specific concepts as category labels for the derived user models. We tested our method on Windows to the Universe, a public educational website covering subjects in the Earth and Space Sciences, and performed an evaluation of our semantically enhanced user models against human judgment. Our approach is distinguishable from existing work because we automatically narrow down the set of domain specific concepts from initial domain concepts obtained from Wikipedia and because we automatically create semantically enhanced user models.

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6 citations in Web of Science
15 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Computer Science, Interdisciplinary Applications
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