LBSN-Based Personalized Routes Recommendation

Li Chao Zhu; Zhi Jun Li; Shou Xu Jiang

doi:10.4028/www.scientific.net/AMM.644-650.3230

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650LBSN-Based Personalized Routes Recommendation

LBSN-Based Personalized Routes Recommendation

Abstract:

In this paper, we present personalized routes recommendation on Location Based Social Network. We model user in both geographical space and semantic space, and define Activity Pattern to describe individual’s personalized character, i.e. individual’s activity regularity. We extract routes which match individual’s activity patterns from high similar users’ trajectories, and according to scoring strategy to recommend top-k routes to a user. We evaluated our method with a real GPS dataset collected from GeoLife. The results show that there exist Activity Pattern in individual’s movement, and our method is better than traditional Cosine-based Similarity method on both precision and k-cover.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

3230-3234

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.3230

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Online since:

September 2014

Authors:

Li Chao Zhu*, Zhi Jun Li, Shou Xu Jiang

Keywords:

Activity Pattern, Location Based Social Network, Routes Recommendation

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