Please use this identifier to cite or link to this item:
Title: Text mining and web usage mining for web-based recommender systems
Authors: Ashwin Ravi Ittoo.
Keywords: DRNTU::Engineering::Industrial engineering::Information systems
Issue Date: 2006
Abstract: This project investigates the application of Text Mining and Web Usage Mining techniques to overcome the drawbacks of traditional recommender systems. Two recommender engines are proposed to deal with the information overload problem. A Text Mining-based recommender engine performs its recommendation functions by employing text mining techniques to learn product information, and a Web Usage Mining-based recommender engine employs patterns on customers' behaviors, which are extracted from Web usage data, to perform the recommendation functions.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MAE Theses

Files in This Item:
File Description SizeFormat 
  Restricted Access
20.5 MBAdobe PDFView/Open

Page view(s) 1

checked on Oct 21, 2020

Download(s) 1

checked on Oct 21, 2020

Google ScholarTM


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