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A Feature-Free Flexible Approach to Topical Classification of Web Queries

Li, Lin and Xu, Guandong and Yang, Zhenglu and Zhang, Yanchun and Kitsuregawa, Masaru (2011) A Feature-Free Flexible Approach to Topical Classification of Web Queries. In: 2011 Seventh International Conference on Semantics Knowledge and Grid (SKG 2011). IEEE, United States, pp. 59-66.

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Abstract

The task of topical classification of Web queries is to classify Web queries into a set of target categories. Machine learning based conventional approaches usually rely on external sources of information to obtain additional features for Web queries and training data for target categories. Unfortunately, these approaches are known to suffer from inability to adapt to different target categories which may be caused by the dynamic changes observed in both Web topic taxonomy and Web content. In this paper, we propose a feature-free flexible approach to topical classification of Web queries. Our approach analyzes queries and topical categories themselves and utilizes the number of Web pages containing both a query and a category to determine their similarity. The most attractive feature of our approach is that it only utilizes the Web page counts estimated by a search engine to provide the Web query classification with respectable accuracy. We conduct experimental study on the effectiveness of our approach using a set of rank measures and show that our approach performs competitively to some popular state-of-the-art solutions which, however, make frequent use of external sources and are inherently insufficient in flexibility.

Item Type: Book Section
ISBN: 9781457713231
Additional Information:

Proceedings of a meeting held 24-26 October 2011, Beijing, China

Uncontrolled Keywords: ResPubID22816, qage count, query classification, search engine, similarity computation
Subjects: Faculty/School/Research Centre/Department > School of Engineering and Science
FOR Classification > 0806 Information Systems
SEO Classification > 8902 Computer Software and Services
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Depositing User: VUIR
Date Deposited: 22 Mar 2013 06:00
Last Modified: 22 Mar 2013 06:00
URI: http://vuir.vu.edu.au/id/eprint/9822
DOI: 10.1109/SKG.2011.23
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Citations in Scopus: 1 - View on Scopus

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