Improving the relevance of web search results by combining web snippet categorization, clustering and personalization

Improving the relevance of web search results by combining web snippet categorization, clustering and personalization

Web search results are far from perfect due to the polysemous and synonymous characteristics of nature languages, information overload as the results of information explosion on the Web, and the flat list, “one size fits all” strategies of search engines to present search results without concentrati...

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Bibliographic Details
Main Author: Zhu, Dengya
Format: Thesis
Language:English
Published: Curtin University 2010
Subjects:
text clustering
search users
personalization techniques
relevance
text categorization
web search results
web snippets
Online Access:http://hdl.handle.net/20.500.11937/326

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