Evaluating algorithms for an expertise recommender system

This study evaluates two algorithms, Support Vector Machine and Bayesian Logistic Regression as applied to an Expertise Recommender System, and compares the results. The expertise area examined is academic research, the information being extracted from faculty web pages of universities world-wide. T...

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Bibliografische gegevens
Hoofdauteur: Uma Manikantan
Andere auteurs: Goh, Dion Hoe Lian
Formaat: Thesis
Gepubliceerd in: 2008
Onderwerpen:
Online toegang:http://hdl.handle.net/10356/1907
Omschrijving
Samenvatting:This study evaluates two algorithms, Support Vector Machine and Bayesian Logistic Regression as applied to an Expertise Recommender System, and compares the results. The expertise area examined is academic research, the information being extracted from faculty web pages of universities world-wide. The study is aimed at the ability of distinguishing subject specialisations within a main subject.