DESIGN AND IMPLEMENT OF PERSONALIZE META-SEARCH ENGINE BASED ON FCA

摘要：

Recent years, the research of the meta-search engines becomes hotspot due to the unified access of this kind of search engines to users.It is convenient and efficient for an ordinary user to invoke multiple search engines and identify useful documents from returned results.In this paper, MySearch, a new personalize meta-search engine is introduced based on formal concept analysis (FCA).It extracts users information implicitly and provides real-time response by re-ranking the results.Re-ranking is done by using concept lattice built by users usage logs and the results of source engine.Finally, the improved re-rank is returned by MySearch.Experimental results show our method has a significant improvement on satisfactory degree in terms of the search result and users requirement.

关键词： Meta-search engine Formal concept analysis Concept lattices Personalize

作者: JUAN TANG YA-JUN DU KE-LIANG WANG

作者单位: School of Mathematica & Computer engineering, Xihua University, Chengdu 610039, China School of Information Science and Technology, Zhe Jiang Forestry University, Lian 311300, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 4026-4031

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）