Details

Autor(en) / Beteiligte

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

Titel

LBSN-Based Personalized Routes Recommendation

Ist Teil von

• Applied Mechanics and Materials, 2014-09, Vol.644-650, p.3230-3234

Ort / Verlag

Zurich: Trans Tech Publications Ltd

Erscheinungsjahr

2014

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• 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.