Design and Implement of Personalize Meta-Search Engine Based on FCA

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 user's information implicitly and provides real-time response by re-ranking the results. Re-ranking is done by using concept lattice built by user's 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 user's requirement.