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Design And Implementation Of Community-based Personalized Service System Of Questions And Answers

Posted on:2012-06-11Degree:MasterType:Thesis
Country:ChinaCandidate:X W ZhouFull Text:PDF
GTID:2268330395983520Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With computer technology, Internet technology and database technology continue to enhance the level of sustainable development and research, large amounts of data information is stored in a database, how to effectively classify the data and follow-up information processing, mining of useful hidden data between knowledge and information, has become the focus of the direction of domestic and foreign scholars. Although it is through the Internet, there are many search engines can find the information you need, but current search engines or search efficiency should be improved, out as "keyword search" often can not quickly find what they want content. With the advent of the information society, information retrieval passive mode can not adapt to the times of development, active exploration methods will be increasingly knowledge-development of the times.In this paper, the text data mining and sorting network technology, the Q&A community to explore the clustering algorithm. Reference to the current content of the clustering algorithm, designed a Q&A community results for re-clustering algorithm, through the questions and answers returned to the client the results of the analysis (question answering pairs), quiz results obtained by the algorithm in the high degree of importance key words and set it to cluster labels, users can use to speed up the retrieval efficiency labels, At the same time, the paper design a user interface based on the content of clustering. Generally for the user to return to the top surface of the results of interest, the paper sorting algorithm on the returned documents were introduced, the application of a document sorting algorithm, for clustering the results returned were new and effective sort.Finally, more common in the community from the current question answering system (Baidu know, Yahoo! Answers and the Tianya Shequ, etc.) as a corpus to extract Q&A on the test results show that after a cluster of questions and answers system can better meet the needs of users.
Keywords/Search Tags:Question answering community, Cross-service, Results clustering
PDF Full Text Request
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