Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/1907
Title: Evaluating algorithms for an expertise recommender system
Authors: Uma Manikantan
Keywords: DRNTU::Library and information science::Libraries::Technologies
Issue Date: 2004
Abstract: 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.
URI: http://hdl.handle.net/10356/1907
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Theses

Files in This Item:
File Description SizeFormat 
WKWSCI_THESES_534.pdf
  Restricted Access
1.09 MBAdobe PDFView/Open

Page view(s) 50

295
Updated on Dec 5, 2020

Download(s) 50

6
Updated on Dec 5, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.