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,...
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description | 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. |
doi_str_mv | 10.1109/ICMLC.2007.4370850 |
format | Conference Proceeding |
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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. 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Experimental results show our method has a significant improvement on satisfactory degree in terms of the search result and user's requirement.</description><subject>Concept lattices</subject><subject>Cybernetics</subject><subject>Data mining</subject><subject>Design engineering</subject><subject>Formal concept analysis</subject><subject>Information retrieval</subject><subject>Information science</subject><subject>Lattices</subject><subject>Machine learning</subject><subject>Meta-search engine</subject><subject>Metasearch</subject><subject>Personalize</subject><subject>Search engines</subject><issn>2160-133X</issn><isbn>1424409721</isbn><isbn>9781424409723</isbn><isbn>9781424409730</isbn><isbn>142440973X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kMtOg0AUQMeoibXyA7qZHwDvnQcwy4qtktBooibumgtcKgaGBtjo12tiXZ2czVkcIa4RIkRwt3m2LbJIASSR0QmkFk5E4JIUjTIGXKLhVFz-i8IzsVAYQ4hav1-IYJo-AQCT2IDSC5Hd89TuvSRfy7w_dNyzn-XQyGcep8FT136z3PJM4QvTWH3Itd-3nuUdTVzLwctNtroS5w11EwdHLsXbZv2aPYbF00OerYqwVejm0MWuRNKm-WVilcWUrWmsMjpFMgpVU5HDVMeVcjFbrohqNqSMKxtdGquX4uav2zLz7jC2PY1fu-MD_QMbsUut</recordid><startdate>20070101</startdate><enddate>20070101</enddate><creator>Juan Tang</creator><creator>Ya-Jun Du</creator><creator>Ke-Liang Wang</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20070101</creationdate><title>Design and Implement of Personalize Meta-Search Engine Based on FCA</title><author>Juan Tang ; Ya-Jun Du ; Ke-Liang Wang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i219t-969b1a34f69b752518e54f524381a4212fca91836c296e5ecaade4a249bf3b453</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Concept lattices</topic><topic>Cybernetics</topic><topic>Data mining</topic><topic>Design engineering</topic><topic>Formal concept analysis</topic><topic>Information retrieval</topic><topic>Information science</topic><topic>Lattices</topic><topic>Machine learning</topic><topic>Meta-search engine</topic><topic>Metasearch</topic><topic>Personalize</topic><topic>Search engines</topic><toplevel>online_resources</toplevel><creatorcontrib>Juan Tang</creatorcontrib><creatorcontrib>Ya-Jun Du</creatorcontrib><creatorcontrib>Ke-Liang Wang</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Juan Tang</au><au>Ya-Jun Du</au><au>Ke-Liang Wang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Design and Implement of Personalize Meta-Search Engine Based on FCA</atitle><btitle>2007 International Conference on Machine Learning and Cybernetics</btitle><stitle>ICMLC</stitle><date>2007-01-01</date><risdate>2007</risdate><volume>7</volume><spage>4026</spage><epage>4031</epage><pages>4026-4031</pages><issn>2160-133X</issn><isbn>1424409721</isbn><isbn>9781424409723</isbn><eisbn>9781424409730</eisbn><eisbn>142440973X</eisbn><abstract>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.</abstract><pub>IEEE</pub><doi>10.1109/ICMLC.2007.4370850</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Concept lattices Cybernetics Data mining Design engineering Formal concept analysis Information retrieval Information science Lattices Machine learning Meta-search engine Metasearch Personalize Search engines |
title | Design and Implement of Personalize Meta-Search Engine Based on FCA |
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