@inproceedings{8052db50a25a49f7b598b6395d141a08,
title = "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{\textquoteright}s personalized character, i.e. individual{\textquoteright}s activity regularity. We extract routes which match individual{\textquoteright}s activity patterns from high similar users{\textquoteright} 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{\textquoteright}s movement, and our method is better than traditional Cosine-based Similarity method on both precisionand k-cover.",
keywords = "Activity pattern, Location based social network, Routes recommendation",
author = "Zhu, {Li Chao} and Li, {Zhi Jun} and Jiang, {Shou Xu}",
note = "Publisher Copyright: {\textcopyright} (2014), Trans Tech Publications, Switzerland. Copyright: Copyright 2015 Elsevier B.V., All rights reserved.; International Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014 ; Conference date: 22-06-2014 Through 23-06-2014",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.644-650.3230",
language = "English (US)",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications Ltd",
pages = "3230--3234",
editor = "Zhongmin Wang and Liangyu Guo and Jianming Tan and Dongfang Yang and Dongfang Yang and Kun Yang and Dongfang Yang and Dongfang Yang and Dongfang Yang",
booktitle = "Machine Tool Technology, Mechatronics and Information Engineering",
}