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Web Mining and Social Networking: Techniques and ... - tud.ttu.ee

Web Mining and Social Networking: Techniques and ... - tud.ttu.ee

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6.5 <strong>Web</strong> Usage <strong>Mining</strong> Applications 137hash table of the edges in the website to check the existence of such a link from one page toanother. The detailed algorithm description is found in [233].To demonstrate the results, five examples of expected locations from the Wharton <strong>Web</strong>site[233] are depicted in Fig.6.8. From the Example W1 (in Fig.6.8), it is s<strong>ee</strong>n that this page shouldbe relocated in a different place or an additional page should be requested.Fig. 6.8. Examples from the Wharton <strong>Web</strong>site for Better Organization[233]6.5.2 Clustering User Queries from <strong>Web</strong> logs for Related QueryClustering Query Refinement by User IntentAnother interesting application of <strong>Web</strong> Usage <strong>Mining</strong> is clustering user queries of a searchengine [254, 214]. Related search queries is a complementary functionality provided by mostof the search engines, such as Google, Yahoo! <strong>and</strong> Bing. The motivation of such kind of techniquesis to assist users in query issuing by leveraging the navigational behaviors exhibited byother like-minded users. When various users utilize the search engine to find the n<strong>ee</strong>ded information,the <strong>Web</strong> log will record the query tracks made by the users as well as the URLs theusers following to click after the search results are returned. Thus mining the query logs canimplicitly reveal the similar query groups which often serve for the similar search aims with a

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