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- W156343458 abstract "This paper presents a potential seed selection algorithm for web crawlers using a gain - share scoring approach. Initially we consider a set of arbitrarily chosen tourism queries. Each query is given to the selected N commercial Search Engines (SEs); top msearch results for each SE are obtained, and each of these mresults is manually evaluated and assigned a relevance score. For each of m results, a gain - share score is computed using their hyperlinks structure across N ranked lists. Gain score of each link present in each of m results and a portion of the gain score is propagated to the share score of each of m results. This updated share scores of each of m results determine the potential set of seed URLs for web crawling. Experimental results on tourism related web data illustrate the effectiveness of the proposed seed selection algorithm." @default.
- W156343458 created "2016-06-24" @default.
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- W156343458 date "2011-01-01" @default.
- W156343458 modified "2023-09-25" @default.
- W156343458 title "Finding Potential Seeds through Rank Aggregation of Web Searches" @default.
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- W156343458 doi "https://doi.org/10.1007/978-3-642-21786-9_38" @default.
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