Inproceedings,

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

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The 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2005), page 565-571. IEEE Press, (2005)

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 Laboratory's digital library collections and Web resources.

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