The online social network services have been growing rapidly over the past few years, and the social network services can easily obtain the locations of users with the recent increasing popularity of the GPS enabled mobile device. In the social network, calculating the similarity between users is an important issue. The user similarity has significant impacts to users, communities and service p...

Article history: Received 17 May 2011 Received in revised form 28 January 2013 Accepted 23 February 2013 Available online 4 March 2013

This paper explores the idea of clustering partial preference relations as a means for agent prediction of users’ preferences. Due to the high number of possible outcomes in a typical scenario, such as an automated negotiation session, elicitation techniques can provide only a sparse specification of a user’s preferences. By clustering similar users together, we exploit the notion that people w...

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The booming industry of location-based services has accumulated a huge collection of users’ location trajectories and also brings us opportunities and challenges to automatically discover valuable knowledge from these trajectories. In this paper, we investigate the problem of measuring the similarity between users. Such user similarity is significant to individuals, communities and businesses b...