Abstract
Terms used in search queries often have multiple meanings and usages. Consequently, search results corresponding to different meanings or usages may be retrieved, making identifying relevant results inconvenient and time-consuming. In this paper, we study the problem of grouping the search results based on the different meanings and usages of a query. We build on a previous work that identifies and ranks possible categories of any user query based on the meanings and common usages of the terms and phrases within the query. We use these categories to group search results. In this paper, we study different methods, including several new methods, to assign search result record (SRRs) to the categories. Our SRR grouping framework supports a combination of categorization, clustering and query rewriting techniques. Our experimental results show that some of our grouping methods can achieve high accuracy.
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Hemayati, R.T., Meng, W., Yu, C. (2012). Categorizing Search Results Using WordNet and Wikipedia. In: Gao, H., Lim, L., Wang, W., Li, C., Chen, L. (eds) Web-Age Information Management. WAIM 2012. Lecture Notes in Computer Science, vol 7418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32281-5_18
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DOI: https://doi.org/10.1007/978-3-642-32281-5_18
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