Abstract
The resource getting core of knowledge Service System is the search engine, but the most studies only put attention to improve efficiency, so as to mass resources retrieval results still allows the user to face "cognitive overload" problem when the user to use searcher to get knowledge, how to provide personalized search results become a research focus. This paper provide a new personalized search ranking method, which use semantic tag and user profile to personalized the search results. The experimental results indicate that the method is effective.
Publisher
Trans Tech Publications, Ltd.
Reference7 articles.
1. Demidova, E., Zhou, X., Nejdl, W.: Iq p : incremental query construction, a probabilistic approach. ICDE 2010, pp.349-352 , (2010).
2. Corby, R. Dieng-Kuntz, and C. Faron-Zucker. Querying the Semantic web with Corese Search Engine. In Proceedings of 15th ECAI/PAIS, Valencia (ES), (2008).
3. R. Guha, R. McCool, and E. Miller. Semantic Search. In Proceedings of the 12th international conference on World Wide Web, pages 700-709, (2003).
4. J. Heflin and J. Hendler. Searching the Web with SHOE. In Proceedings of the AAAI Workshop on AI for Web Search, pages 35-40. AAAI Press, (2000).
5. C. Rocha, D. Schwabe, and M. de Aragao. A Hybrid Approach for Searching in the Semantic Web. In Proceedings of the 13th International World Wide Web Conference, (2004).