Semi-metric Networks for Recommender Systems

Weighted graphs obtained from co-occurrence in user-item relations lead to non-metric topologies. We use this semi-metric behavior to issue recommendations, and discuss its relationship to transitive closure on fuzzy graphs. Finally, we test the performance of this method against other item- and use...

Full description

Saved in:
Bibliographic Details
Published in:2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Vol. 3; pp. 175 - 179
Main Authors: Simas, T., Rocha, L. M.
Format: Conference Proceeding
Language:English
Published: IEEE 01.12.2012
Subjects:
complex networks
fuzzy systems
network theory (graphs)
recommender systems
ISBN:9781467360579, 1467360570
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Weighted graphs obtained from co-occurrence in user-item relations lead to non-metric topologies. We use this semi-metric behavior to issue recommendations, and discuss its relationship to transitive closure on fuzzy graphs. Finally, we test the performance of this method against other item- and user-based recommender systems on the Movie lens benchmark. We show that including highly semi-metric edges in our recommendation algorithms leads to better recommendations.
AbstractList Weighted graphs obtained from co-occurrence in user-item relations lead to non-metric topologies. We use this semi-metric behavior to issue recommendations, and discuss its relationship to transitive closure on fuzzy graphs. Finally, we test the performance of this method against other item- and user-based recommender systems on the Movie lens benchmark. We show that including highly semi-metric edges in our recommendation algorithms leads to better recommendations.
Author Simas, T.
Rocha, L. M.
Author_xml – sequence: 1
  givenname: T.
  surname: Simas
  fullname: Simas, T.
  email: tdesimas@indiana.edu
  organization: Cognitive Sci. Program, Indiana Univ., Bloomington, IN, USA
– sequence: 2
  givenname: L. M.
  surname: Rocha
  fullname: Rocha, L. M.
  email: rocha@indiana.edu
  organization: Center for Complex Networks & Syst., Indiana Univ., Bloomington, IN, USA
BookMark eNotzM1Kw0AUQOERFbQ1axdu8gAm3rnzm2UpVgNFwVZclsnkDkSdRGYC0rdX0M35dmfBzsZpJMauOdScQ3P31lbtal8jcKxRqhO2AKMbJa0FfcqKxlgutREalGkuWJHzOwBwEIoDv2S3O4pDFWlOgy-faP6e0kcuw5TKF_JTjDT2lMrdMc8U8xU7D-4zU_Hvkr1u7vfrx2r7_NCuV9vKoTTzb602INBogKCxk6Lrfee0xSA631n01qveyd6R1kZKNCgDBgeAPRkksWQ3f9-BiA5faYguHQ9aca4Nih-adkR-
CODEN IEEPAD
ContentType Conference Proceeding
DBID 6IE
6IL
CBEJK
RIE
RIL
DOI 10.1109/WI-IAT.2012.245
DatabaseName IEEE Electronic Library (IEL) Conference Proceedings
IEEE Xplore POP ALL
IEEE Xplore All Conference Proceedings
IEEE Electronic Library (IEL)
IEEE Proceedings Order Plans (POP All) 1998-Present
DatabaseTitleList
Database_xml – sequence: 1
  dbid: RIE
  name: IEEE Electronic Library (IEL)
  url: https://ieeexplore.ieee.org/
  sourceTypes: Publisher
DeliveryMethod fulltext_linktorsrc
Discipline Computer Science
EISBN 0769548806
9780769548807
EndPage 179
ExternalDocumentID 6511672
Genre orig-research
GroupedDBID 6IE
6IL
ACM
ALMA_UNASSIGNED_HOLDINGS
APO
CBEJK
GUFHI
LHSKQ
RIE
RIL
ID FETCH-LOGICAL-a247t-a28670327600f62b43bdcba682f3bcb82c8c5da4dae667442724f2fa002de72e3
IEDL.DBID RIE
ISBN 9781467360579
1467360570
ISICitedReferencesCount 9
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000423017600036&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
IngestDate Wed Aug 27 04:34:36 EDT 2025
IsPeerReviewed false
IsScholarly false
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-a247t-a28670327600f62b43bdcba682f3bcb82c8c5da4dae667442724f2fa002de72e3
PageCount 5
ParticipantIDs ieee_primary_6511672
PublicationCentury 2000
PublicationDate 2012-Dec.
PublicationDateYYYYMMDD 2012-12-01
PublicationDate_xml – month: 12
  year: 2012
  text: 2012-Dec.
PublicationDecade 2010
PublicationTitle 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
PublicationTitleAbbrev wi-iat
PublicationYear 2012
Publisher IEEE
Publisher_xml – name: IEEE
SSID ssj0001035101
ssj0001120833
Score 1.5552132
Snippet Weighted graphs obtained from co-occurrence in user-item relations lead to non-metric topologies. We use this semi-metric behavior to issue recommendations,...
SourceID ieee
SourceType Publisher
StartPage 175
SubjectTerms complex networks
fuzzy systems
network theory (graphs)
recommender systems
Title Semi-metric Networks for Recommender Systems
URI https://ieeexplore.ieee.org/document/6511672
Volume 3
WOSCitedRecordID wos000423017600036&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1LSwMxEB5q8eCpaitaH-Tgsekjm02yRxGLBSkFq_ZWNskEethW-vD3m2TX1oMXD7tsFgJ5kGQm33zzAdyrgZPIdUqVyAXlyinqn4Taft-gTFwmI2_t_UWOx2o2yyY16Oy5MIgYg8-wGz4jlm9XZheuynoiDaiB33CPpBQlV-twnxIgsQpCjeUB89ZFErlcIXbJ2yX7FE9VOatS_Qz6We9jREcP0xDqxboscJt-aa3Eo2bY-F8jT6F14OyRyf40OoMaLs-h8SPaQKo13ITOKxYLWgQhLUPGZRD4hnjTlQRPtCiitBypEpm34G34NH18ppVkAs0Zl1v_VsKvYRbgNieY5om2RudCMZdooxUzyqQ25zZHISTnTDLumMv9vmhRMkwuoL5cLfESiEYlvS_mx1FpnlqmHEfvHPnaGVqO7gqaofPzzzIrxrzqd_vv39dwEsa2DAS5gfp2vcNbODZf28VmfRen8htwEZig
linkProvider IEEE
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3PS8MwFA5jCnqauom_7cHjsnVpmqRHEWXDWQZO3W00yQvs0E32w7_fJI2bBy8eWppCoXkhyXv53vc-hO5Ez3CgMsWCFQxTYQS2V4J1HCvgicm45629D3mei8kkG9VQe8uFAQCffAYd9-ixfL1QG3dU1mWpQw3sgruXUkriiq21O1FxoFgAUX27R6x_kXg2l8tesp7JtshTaGeh2E8vzrofAzy4H7tkL9Ihjt30S23FbzZPjf_95hFq7Vh70Wi7Hx2jGsxPUONHtiEKs7iJ2q9QznDppLRUlFdp4KvIOq-Ri0XL0ovLRaGUeQu9PT2OH_o4iCbgglC-tnfB7CwmDnAzjEiaSK1kwQQxiVRSECVUqguqC2CMWzNyQg0xhV0ZNXACySmqzxdzOEORBMFtNGbtKCRNNRGGgg2P7NcZaArmHDVd56efVV2Maej3xd-vb9FBf_wynA4H-fMlOnR2rtJCrlB9vdzANdpXX-vZannjh_UbmKSb5w
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=proceeding&rft.title=2012+IEEE%2FWIC%2FACM+International+Conferences+on+Web+Intelligence+and+Intelligent+Agent+Technology&rft.atitle=Semi-metric+Networks+for+Recommender+Systems&rft.au=Simas%2C+T.&rft.au=Rocha%2C+L.+M.&rft.date=2012-12-01&rft.pub=IEEE&rft.isbn=9781467360579&rft.volume=3&rft.spage=175&rft.epage=179&rft_id=info:doi/10.1109%2FWI-IAT.2012.245&rft.externalDocID=6511672
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781467360579/lc.gif&client=summon&freeimage=true
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781467360579/mc.gif&client=summon&freeimage=true
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=9781467360579/sc.gif&client=summon&freeimage=true