Bringing Order to User-Generated Content on the Web

LIM, WERN HAN

doi:10.4225/03/5b01749b633b8

6291479_Thesis_Amendments_v07.pdf (6.04 MB)

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Bringing Order to User-Generated Content on the Web

thesis

posted on 2018-05-20, 09:41 authored by WERN HAN LIM

This thesis outlines research done to estimate the expertise of users on the World Wide Web (WWW). The estimated expertise can be used to infer the information quality of their user-generated content (UGC) on various platforms such as Collaborative Tagging (CT), Community Question-Answering (CQA) and Content Aggregation (CA) with social curation. With the information quality, we then improve content management and various other information retrieval tasks.

History

Campus location

Malaysia

Principal supervisor

Mark Carman

Additional supervisor 1

Jojo Sze Meng Wong

Additional supervisor 2

Kok Sheik Wong

Year of Award

2018

Department, School or Centre

School of Information Technology (Monash University Malaysia)

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Information Technology

Usage metrics

Keywords

User Expertise Information Quality User-Generated Content Tag Question Answer Content Aggregation Social Curation Reddit Web 2.0 World Wide Web WWW Information Systems Information Retrieval and Web Search

Licence

In Copyright

Bringing Order to User-Generated Content on the Web

History

Campus location

Principal supervisor

Additional supervisor 1

Additional supervisor 2

Year of Award

Department, School or Centre

Course

Degree Type

Faculty

Usage metrics

Categories

Keywords

Licence

Exports