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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