Clustering of Personalized Documents from the Web by Personal Name Aliases

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Provided by: International Journal of Soft Computing and Engineering (IJSCE)
Topic: Data Management
Format: PDF
The web is a huge resource for people who use engines to search documents related to specific person. The traditional approach is to organize search results into groups, one for each meaning of the query. According to the topical similarity of the retrieved documents, these groups are usually constructed but it is impossible for documents to be totally dissimilar and still correspond to the same person. To overcome this problem, in this paper, the authors will implement a rigorous technique to find out all the documents regarding personalized information within short period of time.
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