Personalized Web Search by Constructing Semantic Clusters of User Profiles
Identifieur interne : 000279 ( Istex/Corpus ); précédent : 000278; suivant : 000280Personalized Web Search by Constructing Semantic Clusters of User Profiles
Auteurs : John Garofalakis ; Theodoula Giannakoudi ; Agoritsa VopiSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2008.
Abstract
Abstract: During the recent years the Web has been developed rapidly making the efficient searching of information difficult and time-consuming. In this work, we propose a web search personalization methodology by coupling data mining techniques with the underlying semantics of the web content. To this purpose, we exploit reference ontologies that emerge from web catalogs (such as ODP), which can scale to the growth of the web. Our methodology uses ontologies to provide the semantic profiling of users’ interests based on the implicit logging of their behavior and the on-the-fly semantic analysis and annotation of the web results summaries.
Url:
DOI: 10.1007/978-3-540-85565-1_30
Links to Exploration step
ISTEX:675BB7638D20EEA60DF2DAA6D58352542C0FC903Le document en format XML
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In this work, we propose a web search personalization methodology by coupling data mining techniques with the underlying semantics of the web content. To this purpose, we exploit reference ontologies that emerge from web catalogs (such as ODP), which can scale to the growth of the web. Our methodology uses ontologies to provide the semantic profiling of users’ interests based on the implicit logging of their behavior and the on-the-fly semantic analysis and annotation of the web results summaries.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>John Garofalakis</name><affiliations><json:string>RA Computer Technology Institute Telematics Center Department, , N. 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Kazantzaki str.</Street><Postcode>26500</Postcode><Country>Greece</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgDivision>Computer Engineering & Informatics Dept</OrgDivision><OrgName>University of Patras</OrgName><OrgAddress><Postcode>26500</Postcode><City>Patras</City><Country>Greece</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>During the recent years the Web has been developed rapidly making the efficient searching of information difficult and time-consuming. In this work, we propose a web search personalization methodology by coupling data mining techniques with the underlying semantics of the web content. To this purpose, we exploit reference ontologies that emerge from web catalogs (such as ODP), which can scale to the growth of the web. Our methodology uses ontologies to provide the semantic profiling of users’ interests based on the implicit logging of their behavior and the on-the-fly semantic analysis and annotation of the web results summaries.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Web Usage Mining</Keyword><Keyword>Semantic Annotation</Keyword><Keyword>Clustering</Keyword><Keyword>Ontology</Keyword><Keyword>User Profiles</Keyword><Keyword>Web Search</Keyword><Keyword>Personalization</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></SubPart></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Personalized Web Search by Constructing Semantic Clusters of User Profiles</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Personalized Web Search by Constructing Semantic Clusters of User Profiles</title></titleInfo><name type="personal"><namePart type="given">John</namePart><namePart type="family">Garofalakis</namePart><affiliation>RA Computer Technology Institute Telematics Center Department, , N. 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Kazantzaki str., 26500, Greece</affiliation><affiliation>Computer Engineering & Informatics Dept, University of Patras, 26500, Patras, Greece</affiliation><affiliation>E-mail: vopi@westgate.gr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2008</dateIssued><copyrightDate encoding="w3cdtf">2008</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: During the recent years the Web has been developed rapidly making the efficient searching of information difficult and time-consuming. In this work, we propose a web search personalization methodology by coupling data mining techniques with the underlying semantics of the web content. To this purpose, we exploit reference ontologies that emerge from web catalogs (such as ODP), which can scale to the growth of the web. Our methodology uses ontologies to provide the semantic profiling of users’ interests based on the implicit logging of their behavior and the on-the-fly semantic analysis and annotation of the web results summaries.</abstract><relatedItem type="host"><titleInfo><title>Knowledge-Based Intelligent Information and Engineering Systems</title><subTitle>12th International Conference, KES 2008, Zagreb, Croatia, September 3-5, 2008, Proceedings, Part II</subTitle></titleInfo><name type="personal"><namePart type="given">Ignac</namePart><namePart type="family">Lovrek</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Robert</namePart><namePart type="given">J.</namePart><namePart type="family">Howlett</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Lakhmi</namePart><namePart type="given">C.</namePart><namePart type="family">Jain</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2008</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18030">Data Mining and Knowledge Discovery</topic><topic authority="SpringerSubjectCodes" authorityURI="I2301X">Computer Appl. in Administrative Data Processing</topic><topic authority="SpringerSubjectCodes" authorityURI="I24040">Computers and Society</topic><topic authority="SpringerSubjectCodes" authorityURI="I24067">Management of Computing and Information Systems</topic></subject><identifier type="DOI">10.1007/978-3-540-85565-1</identifier><identifier type="ISBN">978-3-540-85564-4</identifier><identifier type="eISBN">978-3-540-85565-1</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">182164</identifier><identifier type="BookID">978-3-540-85565-1</identifier><identifier type="BookChapterCount">128</identifier><identifier type="BookVolumeNumber">5178</identifier><identifier type="BookSequenceNumber">5178</identifier><identifier type="PartChapterCount">71</identifier><part><date>2008</date><detail type="part"><title>II Intelligence Everywhere</title></detail><detail type="volume"><number>5178</number><caption>vol.</caption></detail><extent unit="pages"><start>238</start><end>247</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2008</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><originInfo><copyrightDate encoding="w3cdtf">2008</copyrightDate><issuance>serial</issuance></originInfo><relatedItem type="constituent"><titleInfo><title>Lecture Notes in Artificial Intelligence</title></titleInfo><name type="personal"><namePart type="given">Jaime</namePart><namePart type="given">G.</namePart><namePart type="family">Carbonell</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jörg</namePart><namePart type="family">Siekmann</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Ignac</namePart><namePart type="family">Lovrek</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Robert</namePart><namePart type="given">J.</namePart><namePart type="family">Howlett</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Lakhmi</namePart><namePart type="given">C.</namePart><namePart type="family">Jain</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Sub-Series"></genre><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SubSeriesID">1244</identifier></relatedItem><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2008</recordOrigin></recordInfo></relatedItem><identifier type="istex">675BB7638D20EEA60DF2DAA6D58352542C0FC903</identifier><identifier type="DOI">10.1007/978-3-540-85565-1_30</identifier><identifier type="ChapterID">Chap30</identifier><identifier type="ChapterID">30</identifier><accessCondition type="use and reproduction" contentType="copyright">Springer-Verlag Berlin Heidelberg</accessCondition><recordInfo><recordContentSource>SPRINGER</recordContentSource><recordOrigin>Springer-Verlag Berlin Heidelberg, 2008</recordOrigin></recordInfo></mods></metadata><enrichments><istex:refBibTEI 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