MyLibrary@LANL: Proximity and Semi-metric Networks for a Collaborative and Recommender Web Service

  • Authors:
  • Luis M. Rocha;Tiago Simas;Andreas Rechtsteiner;Mariella Di Giacomo;Richard Luce

  • Affiliations:
  • Indiana University;Indiana University;Indiana University;Los Alamos National Laboratory;Los Alamos National Laboratory

  • Venue:
  • WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
  • Year:
  • 2005

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Abstract

We describe a network approach to building recommendation systems for a Web service. We employ two different types of weighted graphs in our analysis and development: Proximity graphs, a type of Fuzzy Graphs based on a co-occurrence probability, and semi-metric distance graphs, which do not observe the triangle inequality of Euclidean distances. Both types of graphs are used to develop intelligent recommendation and collaboration systems for the MyLibrary@LANL web service, a user-centered front-end to the Los Alamos National Laboratoryýs digital library collections and Web resources.