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Subject classification based on social tagging and sorting optimization methods

Author: XiaJing
Tutor: WenKunMei
School: Huazhong University of Science and Technology
Course: Applied Computer Technology
Keywords: Academic Search Subject Classification Sorting methods Social dimension Optimization
CLC: TP391.1
Type: Master's thesis
Year: 2011
Downloads: 33
Quote: 0
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Abstract


With the concept of Web2.0 impact of information technology , networks pay more attention to interaction with the user . Social dimension is the user interacts with the network arising from the emerging network data. The user using social dimension to its main purpose is to describe the resources of interest to improve the classification , search and discovery of network resources efficiently. In the academic field , due to academic users of the professional in the field of the social dimension compared to common areas have a stronger accuracy. In the academic search, academic resources subject category information can guide users to some extent from the search to help users quickly find its interesting academic resources . Theme category information can also be integrated into a retrieval system , used for the initial topic filtering results can be improved to some extent Sort results. At the same time , in any retrieval system, relevance ranking is to improve the quality of search results is one of the key technologies . Retrieved as an academic platform, based on the theme of social label classification method is the use of the social dimension of academic conferences as complementary data sources, together with the contents of the meeting said that the meeting together to build a model, based on the meeting said that model, using Bayesian classification algorithm thinking through the conference theme classification . Sorting based on social tagging optimization method main idea is based on the \Thus, with the social dimension of academic fields marked increase in the number and the emergence of the subject classification based on social tagging and sorting optimization method is applied to academic retrieval system, to optimize the quality of search results . The academic field of the social dimension of this new network resource attribute information into academic search, retrieve the results achieved to improve academic quality. And through comparison experiment with other methods to verify the social dimension for subject classification and sorting methods to optimize the role .

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