A social matching system : using implicit and explicit information for personalized recommendation in online dating service

Chen, Lin (2013) A social matching system : using implicit and explicit information for personalized recommendation in online dating service. PhD thesis, Queensland University of Technology.

Abstract

Online dating websites enable a specific form of social networking and their efficiency can be increased by supporting proactive recommendations based on participants' preferences with the use of data mining. This research develops two-way recommendation methods for people-to-people recommendation for large online social networks such as online dating networks. This research discovers the characteristics of the online dating networks and utilises these characteristics in developing efficient people-to-people recommendation methods. Methods developed support improved recommendation accuracy, can handle data sparsity that often comes with large data sets and are scalable for handling online networks with a large number of users.

Impact and interest:

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Full-text downloads:

343 since deposited on 11 Nov 2013
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ID Code: 64157
Item Type: QUT Thesis (PhD)
Supervisor: Nayak, Richi & Xu, Yue
Keywords: Online Dating Network, Social Matching, Social Network Analysis, Recommendation System, Collaborative Filtering, User Profile, Implicit Preference, Explicit Preference
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 11 Nov 2013 03:16
Last Modified: 07 Sep 2015 22:34

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