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Personalized Information Retrieval System Model Based On Ontology Research

Posted on:2007-07-28Degree:MasterType:Thesis
Country:ChinaCandidate:H L YinFull Text:PDF
GTID:2208360185482273Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Since different users have different background and different knowledge, the love interest of the user is different and so needs of user is different in information. They visit on the Web to go to only a specific subset of the resources which is a particular area. But most of the retrieval system uses keywords to search the information, for all different users these system use the same standard interface and the same retrieval methods ,so they desived the same search results for all different user . Users can not accurately express themselves and they can not express information on specific areas which they interest and needs, even using advanced search technology we can not supply the user with the accurate retrieval results in a relatively short list information ,in practical more than half of the retrieval results are not related to the user needs. One of the main reasons is that: the same keywords for different people, in different areas and different time and place may express different meaning, and therefore one can not accurately reflect the key users of a specific area of the specific information needs. So that general information retrieval combines with the specific areas of information processing technology is needed.This paper researches ontology-based personal user modeling technology and its application in the intelligent information retrieval. As a domain model, ontology provides a common comprehension about the domain concepts and the hiberarchy of concepts, at the same time, its utilization also reduces the dependence on the comprehension technology of natural language.In this paper, based on the identity of the personalized retrieval system infrastructure, methods and related technology research, we made a personalized information retrieval system models. First, we produce the development of personalized information retrieval and the ontology technology. Second, we produce the key technologies of the model — user profile techniques for the automatic creation of research. Automatic creation of user profile research is the focus of this paper. We have made a model based on the identity of interest expressed by users. Then we introduced this system as a whole system and we introduce the overall framework. Finally, we summrized our study and introduce further research in the future.The main contributions of this paper are listed as below: (1) In this paper, we report a ontology-based representation of user model. A user model in a special...
Keywords/Search Tags:Ontology, personalization, information retrieval, information filter, user profile
PDF Full Text Request
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