Recommending people in social networks using data mining

Alsaleh, Slah (2013) Recommending people in social networks using data mining. PhD thesis, Queensland University of Technology.

Abstract

This thesis improves the process of recommending people to people in social networks using new clustering algorithms and ranking methods. The proposed system and methods are evaluated on the data collected from a real life social network. The empirical analysis of this research confirms that the proposed system and methods achieved improvements in the accuracy and efficiency of matching and recommending people, and overcome some of the problems that social matching systems usually suffer.

Impact and interest:

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Full-text downloads:

654 since deposited on 13 Aug 2013
144 in the past twelve months

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ID Code: 61736
Item Type: QUT Thesis (PhD)
Supervisor: Nayak, Richi & Xu, Yue
Keywords: Recommendation, Social networks, Community detection, Clustering, Constraints, Ranking
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 13 Aug 2013 03:05
Last Modified: 07 Sep 2015 05:13

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