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 Laboratory?s digital library collections and Web resources.
Citation:
Luis M. Rocha, Tiago Simas, Andreas Rechtsteiner, Mariella Di Giacomo, Richard Luce, "MyLibrary@LANL: Proximity and Semi-metric Networks for a Collaborative and Recommender Web Service," wi, pp.565-571, 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI'05), 2005