Text mining and web usage mining for web-based recommender systems

Text mining and web usage mining for web-based recommender systems

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 recommendatio...

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Main Author: Ashwin Ravi Ittoo.
Other Authors: Jiao Jianxin, Roger
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Industrial engineering::Information systems
Online Access:http://hdl.handle.net/10356/5918
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-5918
record_format dspace
spelling sg-ntu-dr.10356-59182023-03-11T17:14:39Z Text mining and web usage mining for web-based recommender systems Ashwin Ravi Ittoo. Jiao Jianxin, Roger School of Mechanical and Aerospace Engineering DRNTU::Engineering::Industrial engineering::Information systems 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. Master of Science (Computer Integrated Manufacturing) 2008-09-17T11:02:22Z 2008-09-17T11:02:22Z 2006 2006 Thesis http://hdl.handle.net/10356/5918 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Industrial engineering::Information systems
spellingShingle DRNTU::Engineering::Industrial engineering::Information systems
Ashwin Ravi Ittoo.
Text mining and web usage mining for web-based recommender systems
description 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.
author2 Jiao Jianxin, Roger
author_facet Jiao Jianxin, Roger
Ashwin Ravi Ittoo.
format Theses and Dissertations
author Ashwin Ravi Ittoo.
author_sort Ashwin Ravi Ittoo.
title Text mining and web usage mining for web-based recommender systems
title_short Text mining and web usage mining for web-based recommender systems
title_full Text mining and web usage mining for web-based recommender systems
title_fullStr Text mining and web usage mining for web-based recommender systems
title_full_unstemmed Text mining and web usage mining for web-based recommender systems
title_sort text mining and web usage mining for web-based recommender systems
publishDate 2008
url http://hdl.handle.net/10356/5918
_version_ 1761781404036759552

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