Recomindation: New Functions for Augmented Memories
Identifieur interne : 000C19 ( Istex/Corpus ); précédent : 000C18; suivant : 000C20Recomindation: New Functions for Augmented Memories
Auteurs : Carolin Plate ; Nathalie Basselin ; Alexander Kröner ; Michael Schneider ; Stephan Baldes ; Vania Dimitrova ; And Anthony JamesonSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
English descriptors
- Teeft :
- Additional information, Current store, Functionality, Global evaluations, Meguro gajoen, Other store, Past behavior, Past events, Past experiences, Pecter, Pecter function, Pecter functions, Pecter system, Personal memories, Product recommendation, Recomindation, Recomindation functionality, Selective presentation, Shopping phase, Specter memory store sources, Technological possibilities, Tentative ratings, User, User study, Vania dimitrova, Various ways.
Abstract
Abstract: Advances in technological support for augmented personal memories make possible new ways of enhancing the process of product recommendation. Instead of simply analyzing information about a user’s past behavior in order to generate recommendations, a recominder system can additionally supply various types of information from the user’s augmented memory that allows the user to take a more active role in the search for suitable products. We illustrate the paradigm of recomindation with reference to a prototype implementation of the system Specter in a CD shopping scenario and the results of a study with 20 subjects, who found most of the recomindation functionality to constitute a useful enhancement of their shopping experience.
Url:
DOI: 10.1007/11768012_16
Links to Exploration step
ISTEX:7435C373EA78DE93F3DD4A385444E8CACFF0880BLe document en format XML
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xml:id="serie-author-0006"><persName><forename type="first">Moni</forename><surname>Naor</surname></persName><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation></editor><editor xml:id="serie-author-0007"><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation>University of Bern, Switzerland</affiliation></editor><editor xml:id="serie-author-0008"><persName><forename type="first">C.</forename><surname>Pandu Rangan</surname></persName><affiliation>Indian Institute of Technology, Madras, India</affiliation></editor><editor xml:id="serie-author-0009"><persName><forename type="first">Bernhard</forename><surname>Steffen</surname></persName><affiliation>University of Dortmund, Germany</affiliation></editor><editor xml:id="serie-author-0010"><persName><forename type="first">Madhu</forename><surname>Sudan</surname></persName><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation></editor><editor xml:id="serie-author-0011"><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName><affiliation>University of California, Los Angeles, CA, USA</affiliation></editor><editor xml:id="serie-author-0012"><persName><forename type="first">Dough</forename><surname>Tygar</surname></persName><affiliation>University of California, Berkeley, CA, USA</affiliation></editor><editor xml:id="serie-author-0013"><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName><affiliation>Rice University, Houston, TX, USA</affiliation></editor><editor xml:id="serie-author-0014"><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation>Max-Planck Institute of Computer Science, Saarbruecken, Germany</affiliation></editor><biblScope><date>2006</date></biblScope><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno 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Instead of simply analyzing information about a user’s past behavior in order to generate recommendations, a recominder system can additionally supply various types of information from the user’s augmented memory that allows the user to take a more active role in the search for suitable products. We illustrate the paradigm of recomindation with reference to a prototype implementation of the system Specter in a CD shopping scenario and the results of a study with 20 subjects, who found most of the recomindation functionality to constitute a useful enhancement of their shopping experience.</p></abstract><textClass><keywords scheme="Book-Subject-Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book-Subject-Group"><list><label>I</label><item><term>Computer Science</term></item><label>I18040</label><item><term>Information Systems Applications (incl.Internet)</term></item><label>I18032</label><item><term>Information Storage and Retrieval</term></item><label>I18067</label><item><term>User Interfaces and Human Computer Interaction</term></item><label>I18059</label><item><term>Multimedia Information Systems</term></item></list></keywords></textClass></profileDesc><revisionDesc><change 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Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>CA</City><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Weizmann Institute of Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of 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ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-540-34697-5</BookID><BookTitle>Adaptive Hypermedia and Adaptive Web-Based Systems</BookTitle><BookSubTitle>4th International Conference, AH 2006, Dublin, Ireland, June 21-23, 2006. Proceedings</BookSubTitle><BookVolumeNumber>4018</BookVolumeNumber><BookSequenceNumber>4018</BookSequenceNumber><BookDOI>10.1007/11768012</BookDOI><BookTitleID>139406</BookTitleID><BookPrintISBN>978-3-540-34696-8</BookPrintISBN><BookElectronicISBN>978-3-540-34697-5</BookElectronicISBN><BookChapterCount>71</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2006</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18040" Priority="1" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18032" Priority="2" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I18067" Priority="3" Type="Secondary">User Interfaces and Human Computer Interaction</BookSubject><BookSubject Code="I18059" Priority="4" Type="Secondary">Multimedia Information Systems</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Vincent</GivenName><GivenName>P.</GivenName><FamilyName>Wade</FamilyName></EditorName><Contact><Email>Vincent.Wade@cs.tcd.ie</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Helen</GivenName><FamilyName>Ashman</FamilyName></EditorName><Contact><Email>helen.ashman@unisa.edu.au</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Barry</GivenName><FamilyName>Smyth</FamilyName></EditorName><Contact><Email>Barry.Smyth@ucd.ie</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Knowledge and Data Engineering Group</OrgDivision><OrgName>Trinity College Dublin</OrgName><OrgAddress><City>Dublin</City><Country>Ireland</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>School of Computer and Information Science</OrgDivision><OrgName>University of South Australia</OrgName><OrgAddress><Country>Australia</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Adaptive Information Cluster, School of Computer Science & Informatics</OrgDivision><OrgName>University College Dublin</OrgName><OrgAddress><Country>Ireland</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part2"><PartInfo TocLevels="0"><PartID>2</PartID><PartSequenceNumber>2</PartSequenceNumber><PartTitle>Full Papers</PartTitle><PartChapterCount>22</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Adaptive Hypermedia and Adaptive Web-Based Systems</BookTitle></PartContext></PartInfo><Chapter ID="Chap16" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>16</ChapterID><ChapterDOI>10.1007/11768012_16</ChapterDOI><ChapterSequenceNumber>16</ChapterSequenceNumber><ChapterTitle Language="En">Recomindation: New Functions for Augmented Memories</ChapterTitle><ChapterFirstPage>141</ChapterFirstPage><ChapterLastPage>150</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2006</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>2</PartID><BookID>978-3-540-34697-5</BookID><BookTitle>Adaptive Hypermedia and Adaptive Web-Based Systems</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Carolin</GivenName><FamilyName>Plate</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Nathalie</GivenName><FamilyName>Basselin</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Alexander</GivenName><FamilyName>Kröner</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Michael</GivenName><FamilyName>Schneider</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Stephan</GivenName><FamilyName>Baldes</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>Vania</GivenName><FamilyName>Dimitrova</FamilyName></AuthorName></Author><Author AffiliationIDS="Aff19"><AuthorName DisplayOrder="Western"><GivenName>and</GivenName><GivenName>Anthony</GivenName><FamilyName>Jameson</FamilyName></AuthorName></Author><Affiliation ID="Aff19"><OrgName>DFKI, German Research Center for Artificial Intelligence</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Advances in technological support for augmented personal memories make possible new ways of enhancing the process of product recommendation. Instead of simply analyzing information about a user’s past behavior in order to generate recommendations, a <Emphasis Type="Italic">recominder</Emphasis> system can additionally supply various types of information from the user’s augmented memory that allows the user to take a more active role in the search for suitable products. We illustrate the paradigm of <Emphasis Type="Italic">recomindation</Emphasis> with reference to a prototype implementation of the system <Emphasis Type="SmallCaps">Specter</Emphasis> in a CD shopping scenario and the results of a study with 20 subjects, who found most of the recomindation functionality to constitute a useful enhancement of their shopping experience.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Recomindation: New Functions for Augmented Memories</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Recomindation: New Functions for Augmented Memories</title></titleInfo><name type="personal"><namePart type="given">Carolin</namePart><namePart type="family">Plate</namePart><affiliation>DFKI, German Research Center for Artificial Intelligence, Saarbrücken, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Nathalie</namePart><namePart type="family">Basselin</namePart><affiliation>DFKI, German Research Center for Artificial Intelligence, Saarbrücken, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Alexander</namePart><namePart type="family">Kröner</namePart><affiliation>DFKI, German Research Center for Artificial Intelligence, Saarbrücken, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Michael</namePart><namePart type="family">Schneider</namePart><affiliation>DFKI, German Research Center for Artificial Intelligence, Saarbrücken, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Stephan</namePart><namePart type="family">Baldes</namePart><affiliation>DFKI, German Research Center for Artificial Intelligence, Saarbrücken, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Vania</namePart><namePart type="family">Dimitrova</namePart><affiliation>DFKI, German Research Center for Artificial Intelligence, Saarbrücken, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">and</namePart><namePart type="given">Anthony</namePart><namePart type="family">Jameson</namePart><affiliation>DFKI, German Research Center for Artificial Intelligence, Saarbrücken, Germany</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2006</dateIssued><copyrightDate encoding="w3cdtf">2006</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: Advances in technological support for augmented personal memories make possible new ways of enhancing the process of product recommendation. Instead of simply analyzing information about a user’s past behavior in order to generate recommendations, a recominder system can additionally supply various types of information from the user’s augmented memory that allows the user to take a more active role in the search for suitable products. We illustrate the paradigm of recomindation with reference to a prototype implementation of the system Specter in a CD shopping scenario and the results of a study with 20 subjects, who found most of the recomindation functionality to constitute a useful enhancement of their shopping experience.</abstract><relatedItem type="host"><titleInfo><title>Adaptive Hypermedia and Adaptive Web-Based Systems</title><subTitle>4th International Conference, AH 2006, Dublin, Ireland, June 21-23, 2006. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Vincent</namePart><namePart type="given">P.</namePart><namePart type="family">Wade</namePart><affiliation>Knowledge and Data Engineering Group, Trinity College Dublin, Dublin, Ireland</affiliation><affiliation>E-mail: Vincent.Wade@cs.tcd.ie</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Helen</namePart><namePart type="family">Ashman</namePart><affiliation>School of Computer and Information Science, University of South Australia, Australia</affiliation><affiliation>E-mail: helen.ashman@unisa.edu.au</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Barry</namePart><namePart type="family">Smyth</namePart><affiliation>Adaptive Information Cluster, School of Computer Science & Informatics, University College Dublin, Ireland</affiliation><affiliation>E-mail: 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type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><affiliation>Lancaster University, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><affiliation>University of Bern, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><affiliation>Indian Institute of Technology, Madras, India</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><affiliation>University of Dortmund, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><affiliation>University of California, Los Angeles, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Dough</namePart><namePart type="family">Tygar</namePart><affiliation>University of California, Berkeley, CA, 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