K-DIME: An Adaptive System to Retrieve Images from the WEB Using Subjective Criteria
Identifieur interne : 000088 ( Main/Corpus ); précédent : 000087; suivant : 000089K-DIME: An Adaptive System to Retrieve Images from the WEB Using Subjective Criteria
Auteurs : Nadia Bianchi-Berthouze ; Toshikazu KatoSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2000.
Abstract
Abstract: Researchers in the field of Database Systems are bound to expand database techniques beyond traditional areas, particularly to the realm of the web. With the growing importance of information technology in today’s industry, new types of applications are appearing that require a broader understanding of information. Recently, many efforts have been made to understand and model the subjective factors that play an important role in our social life and communication so that they could be embedded into new information technologies. We propose here our framework for endowing a software agent with the capability to personalize itself to its user through interaction and perform tasks that involve subjective parameters. We describe K-DIME, a software prototype that can retrieve material from the Web on the basis of both objective and subjective features of the content. K-DIME allows users to create their own Kansei User Model. With its ability to bootstrap a new user model from the model of a user with similar profile, it significantly reduces the workload generally associated with an online learning phase. Continuous adaptation driven by specific patterns of interaction with the user enables K-DIME to cope with the intrinsic variability of subjective impressions. A working prototype has been implemented and applied in a scenario in which users are asked to identify pictures they would like to display on a greeting card.
Url:
DOI: 10.1007/3-540-44431-9_12
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ISTEX:7469B4A57C9BB31986A3A5B1BBD201D7D7600DBCLe document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">K-DIME: An Adaptive System to Retrieve Images from the WEB Using Subjective Criteria</title><author><name sortKey="Bianchi Berthouze, Nadia" sort="Bianchi Berthouze, Nadia" uniqKey="Bianchi Berthouze N" first="Nadia" last="Bianchi-Berthouze">Nadia Bianchi-Berthouze</name><affiliation><mods:affiliation>Database Systems Laboratory, The University of Aizu, 965-8580, Aizu-Wakamatsu, Fukushima, JAPAN</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: nadia@u-aizu.ac.jp</mods:affiliation></affiliation></author><author><name sortKey="Kato, Toshikazu" sort="Kato, Toshikazu" uniqKey="Kato T" first="Toshikazu" last="Kato">Toshikazu Kato</name><affiliation><mods:affiliation>Dept. of Industrial and Systems Engineering, Chuo University, 112, Tokyo, JAPAN</mods:affiliation></affiliation><affiliation><mods:affiliation>Human Media Lab, Electrotechnical Laboratory, 305-8568, Tsukuba, Ibaraki, Japan</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: kato@indsys.chuo-u.ac.jp</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:7469B4A57C9BB31986A3A5B1BBD201D7D7600DBC</idno><date when="2000" year="2000">2000</date><idno type="doi">10.1007/3-540-44431-9_12</idno><idno type="url">https://api.istex.fr/document/7469B4A57C9BB31986A3A5B1BBD201D7D7600DBC/fulltext/pdf</idno><idno type="wicri:Area/Main/Corpus">000088</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="ISTEX">000088</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">K-DIME: An Adaptive System to Retrieve Images from the WEB Using Subjective Criteria</title><author><name sortKey="Bianchi Berthouze, Nadia" sort="Bianchi Berthouze, Nadia" uniqKey="Bianchi Berthouze N" first="Nadia" last="Bianchi-Berthouze">Nadia Bianchi-Berthouze</name><affiliation><mods:affiliation>Database Systems Laboratory, The University of Aizu, 965-8580, Aizu-Wakamatsu, Fukushima, JAPAN</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: nadia@u-aizu.ac.jp</mods:affiliation></affiliation></author><author><name sortKey="Kato, Toshikazu" sort="Kato, Toshikazu" uniqKey="Kato T" first="Toshikazu" last="Kato">Toshikazu Kato</name><affiliation><mods:affiliation>Dept. of Industrial and Systems Engineering, Chuo University, 112, Tokyo, JAPAN</mods:affiliation></affiliation><affiliation><mods:affiliation>Human Media Lab, Electrotechnical Laboratory, 305-8568, Tsukuba, Ibaraki, Japan</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: kato@indsys.chuo-u.ac.jp</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2000</date></imprint><idno type="ISSN">0302-9743</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">7469B4A57C9BB31986A3A5B1BBD201D7D7600DBC</idno><idno type="DOI">10.1007/3-540-44431-9_12</idno><idno type="ChapterID">Chap12</idno><idno type="ChapterID">12</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Researchers in the field of Database Systems are bound to expand database techniques beyond traditional areas, particularly to the realm of the web. With the growing importance of information technology in today’s industry, new types of applications are appearing that require a broader understanding of information. Recently, many efforts have been made to understand and model the subjective factors that play an important role in our social life and communication so that they could be embedded into new information technologies. We propose here our framework for endowing a software agent with the capability to personalize itself to its user through interaction and perform tasks that involve subjective parameters. We describe K-DIME, a software prototype that can retrieve material from the Web on the basis of both objective and subjective features of the content. K-DIME allows users to create their own Kansei User Model. With its ability to bootstrap a new user model from the model of a user with similar profile, it significantly reduces the workload generally associated with an online learning phase. Continuous adaptation driven by specific patterns of interaction with the user enables K-DIME to cope with the intrinsic variability of subjective impressions. A working prototype has been implemented and applied in a scenario in which users are asked to identify pictures they would like to display on a greeting card.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Nadia Bianchi-Berthouze</name><affiliations><json:string>Database Systems Laboratory, The University of Aizu, 965-8580, Aizu-Wakamatsu, Fukushima, JAPAN</json:string><json:string>E-mail: nadia@u-aizu.ac.jp</json:string></affiliations></json:item><json:item><name>Toshikazu Kato</name><affiliations><json:string>Dept. of Industrial and Systems Engineering, Chuo University, 112, Tokyo, JAPAN</json:string><json:string>Human Media Lab, Electrotechnical Laboratory, 305-8568, Tsukuba, Ibaraki, Japan</json:string><json:string>E-mail: kato@indsys.chuo-u.ac.jp</json:string></affiliations></json:item></author><genre><json:string>Original Paper</json:string></genre><serie><editor><json:item><name>Gerhard Goos</name><affiliations><json:string>Karlsruhe University, Germany</json:string></affiliations></json:item><json:item><name>Juris Hartmanis</name><affiliations><json:string>Cornell University, NY, USA</json:string></affiliations></json:item><json:item><name>Jan van Leeuwen</name><affiliations><json:string>Utrecht University, The Netherlands</json:string></affiliations></json:item></editor><issn><json:string>0302-9743</json:string></issn><genre></genre><language><json:string>unknown</json:string></language><title>Lecture Notes in Computer Science</title><copyrightDate>2000</copyrightDate></serie><host><volume>1966</volume><editor><json:item><name>Subhash Bhalla</name><affiliations><json:string>Database Systems Laboratory, University of Aizu, Aizu-Wakamatsu City, 965-8580, Fukushima, Japan</json:string><json:string>E-mail: bhalla@u-aizu.ac.jp</json:string></affiliations></json:item></editor><pages><last>172</last><first>157</first></pages><subject><json:item><value>Computer Science</value></json:item><json:item><value>Computer Science</value></json:item><json:item><value>Database Management</value></json:item><json:item><value>Information Storage and Retrieval</value></json:item><json:item><value>Computer Communication Networks</value></json:item><json:item><value>Information Systems Applications (incl.Internet)</value></json:item><json:item><value>Business Information Systems</value></json:item></subject><isbn><json:string>978-3-540-41395-0</json:string></isbn><genre><json:string>Proceedings</json:string><json:string>eBook</json:string></genre><language><json:string>unknown</json:string></language><title>Databases in Networked Information Systems</title><copyrightDate>2000</copyrightDate><doi><json:string>10.1007/3-540-44431-9</json:string></doi></host><language><json:string>eng</json:string></language><abstract>Abstract: Researchers in the field of Database Systems are bound to expand database techniques beyond traditional areas, particularly to the realm of the web. With the growing importance of information technology in today’s industry, new types of applications are appearing that require a broader understanding of information. Recently, many efforts have been made to understand and model the subjective factors that play an important role in our social life and communication so that they could be embedded into new information technologies. We propose here our framework for endowing a software agent with the capability to personalize itself to its user through interaction and perform tasks that involve subjective parameters. We describe K-DIME, a software prototype that can retrieve material from the Web on the basis of both objective and subjective features of the content. K-DIME allows users to create their own Kansei User Model. With its ability to bootstrap a new user model from the model of a user with similar profile, it significantly reduces the workload generally associated with an online learning phase. 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With the growing importance of information technology in today’s industry, new types of applications are appearing that require a broader understanding of information. Recently, many efforts have been made to understand and model the subjective factors that play an important role in our social life and communication so that they could be embedded into new information technologies. We propose here our framework for endowing a software agent with the capability to personalize itself to its user through interaction and perform tasks that involve subjective parameters. We describe K-DIME, a software prototype that can retrieve material from the Web on the basis of both objective and subjective features of the content. K-DIME allows users to create their own Kansei User Model. With its ability to bootstrap a new user model from the model of a user with similar profile, it significantly reduces the workload generally associated with an online learning phase. Continuous adaptation driven by specific patterns of interaction with the user enables K-DIME to cope with the intrinsic variability of subjective impressions. 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AffiliationIDS="Aff5"><AuthorName DisplayOrder="Western"><GivenName>Nadia</GivenName><FamilyName>Bianchi-Berthouze</FamilyName></AuthorName><Contact><Email>nadia@u-aizu.ac.jp</Email></Contact></Author><Author AffiliationIDS="Aff6 Aff7"><AuthorName DisplayOrder="Western"><GivenName>Toshikazu</GivenName><FamilyName>Kato</FamilyName></AuthorName><Contact><Email>kato@indsys.chuo-u.ac.jp</Email></Contact></Author><Affiliation ID="Aff5"><OrgDivision>Database Systems Laboratory</OrgDivision><OrgName>The University of Aizu</OrgName><OrgAddress><Postcode>965-8580</Postcode><City>Aizu-Wakamatsu, Fukushima</City><Country>JAPAN</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgDivision>Dept. of Industrial and Systems Engineering</OrgDivision><OrgName>Chuo University</OrgName><OrgAddress><Postcode>112</Postcode><City>Tokyo</City><Country>JAPAN</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Human Media Lab, Electrotechnical Laboratory</OrgName><OrgAddress><Postcode>305-8568</Postcode><City>Tsukuba, Ibaraki</City><Country>Japan</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Researchers in the field of Database Systems are bound to expand database techniques beyond traditional areas, particularly to the realm of the web. With the growing importance of information technology in today’s industry, new types of applications are appearing that require a broader understanding of information. Recently, many efforts have been made to understand and model the subjective factors that play an important role in our social life and communication so that they could be embedded into new information technologies. We propose here our framework for endowing a software agent with the capability to personalize itself to its user through interaction and perform tasks that involve subjective parameters. We describe K-DIME, a software prototype that can retrieve material from the Web on the basis of both objective and subjective features of the content. K-DIME allows users to create their own Kansei User Model. With its ability to bootstrap a new user model from the model of a user with similar profile, it significantly reduces the workload generally associated with an online learning phase. Continuous adaptation driven by specific patterns of interaction with the user enables K-DIME to cope with the intrinsic variability of subjective impressions. A working prototype has been implemented and applied in a scenario in which users are asked to identify pictures they would like to display on a greeting card.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><!--Version 0.11 générée le 11-8-2015--><mods version="3.6"><titleInfo lang="en"><title>K-DIME: An Adaptive System to Retrieve Images from the WEB Using Subjective Criteria</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>K-DIME: An Adaptive System to Retrieve Images from the WEB Using Subjective Criteria</title></titleInfo><name type="personal"><namePart type="given">Nadia</namePart><namePart type="family">Bianchi-Berthouze</namePart><affiliation>Database Systems Laboratory, The University of Aizu, 965-8580, Aizu-Wakamatsu, Fukushima, JAPAN</affiliation><affiliation>E-mail: nadia@u-aizu.ac.jp</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Toshikazu</namePart><namePart type="family">Kato</namePart><affiliation>Dept. of Industrial and Systems Engineering, Chuo University, 112, Tokyo, JAPAN</affiliation><affiliation>Human Media Lab, Electrotechnical Laboratory, 305-8568, Tsukuba, Ibaraki, Japan</affiliation><affiliation>E-mail: kato@indsys.chuo-u.ac.jp</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre>Original Paper</genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><copyrightDate encoding="w3cdtf">2000</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: Researchers in the field of Database Systems are bound to expand database techniques beyond traditional areas, particularly to the realm of the web. With the growing importance of information technology in today’s industry, new types of applications are appearing that require a broader understanding of information. Recently, many efforts have been made to understand and model the subjective factors that play an important role in our social life and communication so that they could be embedded into new information technologies. We propose here our framework for endowing a software agent with the capability to personalize itself to its user through interaction and perform tasks that involve subjective parameters. We describe K-DIME, a software prototype that can retrieve material from the Web on the basis of both objective and subjective features of the content. K-DIME allows users to create their own Kansei User Model. With its ability to bootstrap a new user model from the model of a user with similar profile, it significantly reduces the workload generally associated with an online learning phase. Continuous adaptation driven by specific patterns of interaction with the user enables K-DIME to cope with the intrinsic variability of subjective impressions. A working prototype has been implemented and applied in a scenario in which users are asked to identify pictures they would like to display on a greeting card.</abstract><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">Gerhard</namePart><namePart type="family">Goos</namePart><affiliation>Karlsruhe University, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Juris</namePart><namePart type="family">Hartmanis</namePart><affiliation>Cornell University, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jan</namePart><namePart type="family">van Leeuwen</namePart><affiliation>Utrecht University, The Netherlands</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><originInfo><copyrightDate encoding="w3cdtf">2000</copyrightDate><issuance>serial</issuance></originInfo><identifier type="ISSN">0302-9743</identifier><identifier type="SeriesID">558</identifier><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2000</recordOrigin></recordInfo></relatedItem><relatedItem type="host"><titleInfo><title>Databases in Networked Information Systems</title><subTitle>International Workshop DNIS 2000 Aizu, Japan, December 4–6, 2000 Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Subhash</namePart><namePart type="family">Bhalla</namePart><affiliation>Database Systems Laboratory, University of Aizu, Aizu-Wakamatsu City, 965-8580, Fukushima, Japan</affiliation><affiliation>E-mail: bhalla@u-aizu.ac.jp</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre>Proceedings</genre><genre>eBook</genre><originInfo><copyrightDate encoding="w3cdtf">2000</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="I18024">Database Management</topic><topic authority="SpringerSubjectCodes" authorityURI="I18032">Information Storage and Retrieval</topic><topic authority="SpringerSubjectCodes" authorityURI="I13022">Computer Communication Networks</topic><topic authority="SpringerSubjectCodes" authorityURI="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="W26007">Business Information Systems</topic></subject><identifier type="DOI">10.1007/3-540-44431-9</identifier><identifier type="ISBN">978-3-540-41395-0</identifier><identifier type="eISBN">978-3-540-44431-2</identifier><identifier type="BookTitleID">66883</identifier><identifier type="BookID">3-540-44431-9</identifier><identifier type="BookChapterCount">17</identifier><identifier type="BookVolumeNumber">1966</identifier><identifier type="BookSequenceNumber">1966</identifier><identifier type="PartChapterCount">6</identifier><part><date>2000</date><detail type="part"><title>Database Systems :Storage and Retrieval</title></detail><detail type="volume"><number>1966</number><caption>vol.</caption></detail><extent unit="pages"><start>157</start><end>172</end></extent></part><recordInfo><recordOrigin>Springer-Verlag Berlin Heidelberg, 2000</recordOrigin></recordInfo></relatedItem><identifier type="istex">7469B4A57C9BB31986A3A5B1BBD201D7D7600DBC</identifier><identifier type="DOI">10.1007/3-540-44431-9_12</identifier><identifier type="ChapterID">Chap12</identifier><identifier type="ChapterID">12</identifier><accessCondition type="use and reproduction" contentType="MetadataGrant">OpenAccess</accessCondition><accessCondition type="use and reproduction" contentType="AbstractGrant">OpenAccess</accessCondition><accessCondition type="use and reproduction" contentType="BodyPDFGrant">Restricted</accessCondition><accessCondition type="use and reproduction" contentType="BodyHTMLGrant">Restricted</accessCondition><accessCondition type="use and reproduction" contentType="BibliographyGrant">Restricted</accessCondition><accessCondition type="use and reproduction" contentType="ESMGrant">Restricted</accessCondition><recordInfo><recordOrigin>Springer-VerlagBerlin Heidelberg, 2000</recordOrigin></recordInfo></mods></metadata><enrichments><json:item><type>refBib</type><uri>https://api.istex.fr/document/7469B4A57C9BB31986A3A5B1BBD201D7D7600DBC/enrichments/refBib</uri></json:item></enrichments></istex></record>Pour manipuler ce document sous Unix (Dilib)
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