Abstract
In this paper, we propose a method for identifying and ranking possible categories of any user query based on the meanings and common usages of the terms and phrases within the query. Our solution utilizes WordNet and Wikipedia to recognize phrases and to determine the basic meanings and usages of each term or phrase in a query. The categories are ranked based on their likelihood in capturing the query’s intention. Experimental results show that our method can achieve high accuracy.
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Hemayati, R.T., Meng, W., Yu, C. (2010). Identifying and Ranking Possible Semantic and Common Usage Categories of Search Engine Queries. In: Chen, L., Triantafillou, P., Suel, T. (eds) Web Information Systems Engineering – WISE 2010. WISE 2010. Lecture Notes in Computer Science, vol 6488. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17616-6_23
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DOI: https://doi.org/10.1007/978-3-642-17616-6_23
Publisher Name: Springer, Berlin, Heidelberg
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