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...

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Vydáno v:2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Ročník 3; s. 175 - 179
Hlavní autoři: Simas, T., Rocha, L. M.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.12.2012
Témata:
complex networks
fuzzy systems
network theory (graphs)
recommender systems
ISBN:9781467360579, 1467360570
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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.
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  organization: Cognitive Sci. Program, Indiana Univ., Bloomington, IN, USA
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  givenname: L. M.
  surname: Rocha
  fullname: Rocha, L. M.
  email: rocha@indiana.edu
  organization: Center for Complex Networks & Syst., Indiana Univ., Bloomington, IN, USA
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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,...
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StartPage 175
SubjectTerms complex networks
fuzzy systems
network theory (graphs)
recommender systems
Title Semi-metric Networks for Recommender Systems
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