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Title: Mobile location-aware personalized recommendation with clustering-based collaborative filtering
Authors: Wu, J. 
Wu, Z.
Keywords: Clustering
Mobile application
Recommendation system
Issue Date: Sep-2012
Source: Wu, J.,Wu, Z. (2012-09). Mobile location-aware personalized recommendation with clustering-based collaborative filtering. International Review on Computers and Software 7 (5) : 2231-2238. ScholarBank@NUS Repository.
Abstract: The high improvement of mobile communication technology and the reduction in cost of hardware have accelerated the wide popularity of mobile application, in which the personalized recommendation is playing a more and more important role in users' preferences and needs. This paper presents a novel approach of location-aware personalized recommendation by clustering-based collaborative filtering, providing recommendation list for users according to their current positions from mobile devices. First, users are partitioned into different clusters by k-means algorithm, in order to speed up the process for searching the nearest neighbors. Second, the location-aware factor is computed according to the user's acceptable distance of items, which is changing over time. Third, the recommendation list is produced by combining location-aware factor with clustering-based collaborative filtering. An application system of hotel recommendation is developed to illustrate and test the feasibility and effectiveness. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.
Source Title: International Review on Computers and Software
ISSN: 18286003
Appears in Collections:Staff Publications

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