Abstract
Owing to the increasing use of ambiguous and imprecise words in expressing the user’s information need, it has become necessary to expand the original query with additional terms that best capture the actual user intent. Selecting the appropriate words to be used as additional terms is mainly dependent on the degree of relatedness between a candidate expansion term and the query terms. In this paper, we propose two criteria to assess the degree of relatedness: (1) attribute more importance to terms occurring in the largest possible number of documents where the query keywords appear, (2) assign more importance to terms having a short distance with the query terms within documents. We employ the strength Pareto fitness assignment in order to satisfy both criteria simultaneously. Our computational experiments on OHSUMED test collection show that our approach significantly improves the retrieval performance compared to the baseline.
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Khennak, I., Drias, H. (2015). Strength Pareto Fitness Assignment for Generating Expansion Features. In: Rocha, A., Correia, A., Costanzo, S., Reis, L. (eds) New Contributions in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-319-16486-1_13
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DOI: https://doi.org/10.1007/978-3-319-16486-1_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16485-4
Online ISBN: 978-3-319-16486-1
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