Title: Location-based clustering and collaborative filtering for mobile learning

Authors: Mohammad M. Alnabhan

Addresses: Faculty of Information Technology, Mutah University, 61710, Jordan

Abstract: This paper presents a new m-learning model described as location-based collaborative M-learning (LCM). This new model exploits location information of mobile users and implements two main operations; k-means for clustering mobile users, and location-based collaborative filtering (CF) to provide learning items recommendations to clustered users. A comprehensive evaluation methodology was utilised to validate the proposed model in terms of complexity, performance and learning items' recommendations quality. Results have confirmed successful implementation of the proposed LCM model during different mobile users' settings. It was shown that LCM structure efficiently reduces processing overload and time required for users' clustering and learning content authoring, and improves learning items recommendations' accuracy.

Keywords: M-learning; location-based; collaborative filtering; CF; clustering; context.

DOI: 10.1504/IJNVO.2018.093927

International Journal of Networking and Virtual Organisations, 2018 Vol.19 No.1, pp.34 - 49

Received: 02 Sep 2016
Accepted: 01 Nov 2016
Published online: 09 Aug 2018 *

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