Overview
Topic status: We're looking for students to study this topic.
Time has witnessed the great increase in demand of the online dating industry. It is reported that the online dating industry has gone from zero about 10 years ago to about Aus$90 million dollars in 2008. With the increasing demand of using online dating sites, it is necessary to have in-depth study of online dating networks with social network analysis methods. In an online dating website, users are registered and allowed to put up their profiles which describe their personal information such as personality features and preferences. In the network, users express their interests by sending messages. When receivers of the message reply with a positive message, an initial relation is assumed to be successful between a pair.
In this research, one of the aims is to find out the relationship between the user profile attributes and the message success rate. Which type of profile attributes result in successful interactions among members of the network? For example, does rich users obtain high message success rate? Recommendation strategies for suggesting best-matched partners can be derived based on these findings. Another research aim is to find the optimal number of recommendations for users at a period of time. More specifically, is there a saturation point when users are no longer willing to receive any messages sent from other users, no matter how well matched the sender is to the user.
This project is part of a large and ongoing research project. The candidate will be working with other team members.
- Study level
- Honours
- Supervisors
- QUT
- Organisational unit
Science and Engineering Faculty
- Research area
- Contact
-
Please contact the supervisor.
Associate Professor Richi Nayak
