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Personalized Information Retrieval Using the User History
April 24-April 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MUE.2008.602008 International Conference on Mult ...
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Many search algorithms have been implemented by many researchers on the world wide web. One of the best algorithms is Google using PageRank technology. PageRank approach computes the number of inlink of each documents then ranks documents in the order of inlink members. But it is difficult to find the results that user needs, because this method finds documents not valueable for a person but valueable for the public. This paper proposes a personalized search engine that emphasizes both the public worth such as page rank using the inlink of each documents and the personal worth.
Index Terms:
personalized, retrieval, information, information retrieval, personalized retrieval, Personalized Information Retrieval
Citation:
Taehwan Kim, Hochul Jeon, Joongmin Choi, "Personalized Information Retrieval Using the User History," mue, pp.229-232, 2008 International Conference on Multimedia and Ubiquitous Engineering (mue 2008), 2008
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