Thesis Topic Details

Topic ID:
2989
Title:
Matching Algorithms for Recommendation in Online Dating
Supervisor:
Wayne Wobcke
Research Area:
Artificial Intelligence
Associated Staff
Assessor:
Mike Bain
Topic Details
Status:
Active
Type:
R & D
Programs:
CS SE
Group Suitable:
No
Industrial:
No
Pre-requisites:
Interest in Machine Learning
Description:
The objective is to compare a number of algorithms on data from a real-world online dating site to work out the best methods to use in recommending suitable matches at various times in the user's interaction with the site.
Comments:
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