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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kai-zhong Jiang Zhao Lu Yu Yan Jun-zhong Gu |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai (Kai-zhong Jiang; Zhao Lu; Yu Yan; Jun-zhong Gu) |
| Abstract | This paper focuses on personalized information retrieval which is a research focus in Web information service, and itpsilas the key technology of enhance retrieval quality. As a user concept map composed of some concepts that extended from user queries based on user interests description, it's the embodiment of user's true intention. Each concept weight in the concept map is defined as a probability, and the whole weighted concept map can reflect the intensity distribution of user interests in the field. Thus semantic similarity and algorithm of two concepts can be defined with concept weight. In this paper, we proposes an improving approach of HITS algorithm with the topological structure of concept map. Experiment shows the algorithm is effective and feasible, and it can improve the quality of Web search engines efficiently. |
| Starting Page | 244 |
| Ending Page | 249 |
| File Size | 408866 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769532752 |
| DOI | 10.1109/ICCGI.2008.8 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-27 |
| Publisher Place | Greece |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Web pages Probability Ontologies Search engines Information retrieval Information theory |
| Content Type | Text |
| Resource Type | Article |
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