Model of Improving Searching Precision For Interactive Users with Searching Requirements

Abstract:

This paper presents a model based on analysis on interactive users search needs. This model changes from the analysis on user's behavior to the one on search content, which reduces to violate users privacy, and enables users to actively participate in determining the needs of search from the client end in the search engine, in addition to establishment of search demand model based on a large number of user feedback data mining in the search engine subsystem, as a result of higher search precision with less client spending and higher user s participation.

• Periodical: Advanced Materials Research (Volumes 756-759)
• Pages: 833-836
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.756-759.833
• Online since: September 2013
• Authors: Tian Chong, Yan Ling Shao, Jian Jun Wang
• Keywords: Interaction, Privacy Violation, Search Algorithm, Searching Precision, User Model

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