MyLibrary@LANL: proximity and semi-metric networks for a collaborative and recommender web service

Conference · Thu Sep 01 00:00:00 EDT 2005

DOI:https://doi.org/10.1109/WI.2005.106· OSTI ID:977995

Rocha, L. M. ^[1]; Simas, T. ^[1]; Rechtsteiner, A. ^[2]; DiGiacomo, M. ^[3]; Luce, R. E. ^[3]

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1. Indiana Univ., Bloomington, IN (United States). School of Informatics and Cognitive Science Program
2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
3. Los Alamos National Lab. (LANL), Los Alamos, NM (United States). Research Library

We describe a network approach to building recommendation systems for a WWW 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 (LANL) digital library collections and WWW resources.

• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE
• OSTI ID: 977995
• Report Number(s): LA-UR-05-5222; TRN: US201012%%600
• Resource Relation: Conference: 2005 IEEE/WIC/ACM International Conference on Web Intelligence (WT 2005), Compiegne University of Technology (France), 19-22 Sep 2005
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
LANL
WEBSITES
METRICS
PROBABILITY
RECOMMENDATIONS
LIBRARIES