Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

Improved user similarity computation for finding friends in your location

Tsakalakis, G. and Koutsakis, P.ORCID: 0000-0002-4168-0888 (2018) Improved user similarity computation for finding friends in your location. Human-centric Computing and Information Sciences, 8 . Article number: 36.

PDF - Published Version
Download (891kB)
Free to read:
*No subscription required


Recommender systems are most often used to predict possible ratings that a user would assign to items, in order to find and propose items of possible interest to each user. In our work, we are interested in a system that will analyze user preferences in order to find and connect people with common interests that happen to be in the same geographical area, i.e., a “friend” recommendation system. We present and propose an algorithm, Egosimilar+, which is shown to achieve superior performance against a number of well-known similarity computation methods from the literature. The algorithm adapts ideas and techniques from the recommender systems literature and the skyline queries literature and combines them with our own ideas on the importance and utilization of item popularity.

Item Type: Journal Article
Murdoch Affiliation(s): School of Engineering and Information Technology
Publisher: SpringerOpen
Copyright: © The Author(s) 2018
Item Control Page Item Control Page


Downloads per month over past year