Thesis Topic Details
Topic ID: |
2990 | |
Title: |
Decision Support in Recommender Systems Using Opinion-Based Reviews | |
Supervisor: |
Wayne Wobcke | |
Research Area: |
Artificial Intelligence | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Nadine Marcus | |
| Topic Details | ||
Status: |
Active | |
Type: |
R & D | |
Programs: |
SE | |
Group Suitable: |
No | |
Industrial: |
No | |
Pre-requisites: |
Interest in Machine Learning, Usability | |
Description: |
There are two related objectives: (i) to understand which opinion-based (user or owner) product reviews are "useful" to everyday users who are buying a new car (or similar product), and (ii) to understand when users will want to see such reviews in the context of their interaction with a system for lifestyle search for new cars that we have already built. The project will work with new car owner reviews from drive.com.au. | |
Comments: |
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| Past Student Reports | ||
| Nedim JACKMAN in s2, 2009 VISLAB |
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