Abstract
Although search engines represent the main means to access on-line data, the increasing demand in terms of performance, precision and relevance in the information retrieval is too far from to being acceptable. The gap existing between the wanted information and the gathered information is often bound to hindrances of semantic rather than syntactic nature. The continuing growth of the Internet usage and contents makes difficult the information access, making the task of information retrieval highly critical.
The paper introduces a system for supporting the Web search activity: on the basis of the interpretation of input query, a suitable list of links to relevant web pages is presented to the user. In fact, the system builds additional queries whose content is similar to the initial one and returns a refined list, resulting from the “multiple” query submissions.
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Loia, V., Senatore, S. (2007). Customized Query Response for an Improved Web Search. In: Castillo, O., Melin, P., Ross, O.M., Sepúlveda Cruz, R., Pedrycz, W., Kacprzyk, J. (eds) Theoretical Advances and Applications of Fuzzy Logic and Soft Computing. Advances in Soft Computing, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72434-6_66
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DOI: https://doi.org/10.1007/978-3-540-72434-6_66
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