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Chinese Search Engine, Personalized Service

Posted on:2011-06-07Degree:MasterType:Thesis
Country:ChinaCandidate:B ChenFull Text:PDF
GTID:2208360308967007Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
In 1994, World Wide Web emerged. WWW has brought great convenience to people's work. Its wide and open accessibility of information not only encouraged creative enthusiasm of people greatly, but also brought new development opportunities and technical challenges to the field of information retrieval.Search engineer is a web application software. From the user's view, it can return a list of pages related by the user's query word for the further judgments. Currently, search engineers face the following technical difficulties: multi-source heterogeneous data types, comprehensiveness of the searching content, accuracy of searching and personalized search and so on. Personalized search is an important direction for the future development of search technology. It is also an important progress of machine servicing mankind and Human-Computer interaction in harmony.This paper systematically study working principle, implementation technology and personalized model of Chinese search engineer. On the basis of analyzing seriously the core technology of Chinese search engineer: Chinese word segmentation, machine spider, creating index, generating inverted sort files and inquiry service, we focus on the implementation project of personalized Chinese search engineer. In Chinese word segmentation system, we join hybrid dictionary mechanism to increase the accuracy of word-segmentation. We analyze the relationship between web information mining and web information retrieving, study the application of data mining in search engineer. By analyzing the search habits, access frequency, web content browsed of using search engineer, we extract the user's characteristics and hobbies, and establish user's personal interest model. By this, we design a personalized model of Chinese search engineer. We aim at increasing the precision rate of search engineer combining with web information mining to provide users with personalized information retrieval service. Major study is as follows:First, we study the implementation details of Chinese search engineer's core technology.Second, we present a practical method to improve the accuracy of Chinese word segmentation.Third, we analyze the relationship between web information mining and web information retrieving, extract the user's characteristics and hobbies and establish user's personal interest model by analyzing the search habits, access frequency, web content browsed of using search engineer.Forth, we establish a personalized model of Chinese search engineer.
Keywords/Search Tags:search engineer, Chinese word segmentation, user interest model, personalized model, web information mining
PDF Full Text Request
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