LBSN-based personalized routes recommendation

Li Chao Zhu; Zhi Jun Li; Shou Xu Jiang

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

LBSN-based personalized routes recommendation

Li Chao Zhu
, Zhi Jun Li
, Shou Xu Jiang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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 precisionand k-cover.

Original language	English (US)
Title of host publication	Machine Tool Technology, Mechatronics and Information Engineering
Editors	Zhongmin Wang, Liangyu Guo, Jianming Tan, Dongfang Yang, Dongfang Yang, Kun Yang, Dongfang Yang, Dongfang Yang, Dongfang Yang
Publisher	Trans Tech Publications Ltd
Pages	3230-3234
Number of pages	5
ISBN (Electronic)	9783038352464
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.644-650.3230
State	Published - 2014
Externally published	Yes
Event	International Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014 - Guilin, China Duration: Jun 22 2014 → Jun 23 2014

Publication series

Name	Applied Mechanics and Materials
Volume	644-650
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Other

Other	International Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014
Country/Territory	China
City	Guilin
Period	6/22/14 → 6/23/14

Bibliographical note

Publisher Copyright:
© (2014), Trans Tech Publications, Switzerland.

Keywords

Activity pattern
Location based social network
Routes recommendation

Publisher link

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

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Cite this

Zhu, L. C., Li, Z. J., & Jiang, S. X. (2014). LBSN-based personalized routes recommendation. In Z. Wang, L. Guo, J. Tan, D. Yang, D. Yang, K. Yang, D. Yang, D. Yang, & D. Yang (Eds.), Machine Tool Technology, Mechatronics and Information Engineering (pp. 3230-3234). (Applied Mechanics and Materials; Vol. 644-650). Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/AMM.644-650.3230

LBSN-based personalized routes recommendation. / Zhu, Li Chao; Li, Zhi Jun; Jiang, Shou Xu.
Machine Tool Technology, Mechatronics and Information Engineering. ed. / Zhongmin Wang; Liangyu Guo; Jianming Tan; Dongfang Yang; Dongfang Yang; Kun Yang; Dongfang Yang; Dongfang Yang; Dongfang Yang. Trans Tech Publications Ltd, 2014. p. 3230-3234 (Applied Mechanics and Materials; Vol. 644-650).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zhu, LC, Li, ZJ & Jiang, SX 2014, LBSN-based personalized routes recommendation. in Z Wang, L Guo, J Tan, D Yang, D Yang, K Yang, D Yang, D Yang & D Yang (eds), Machine Tool Technology, Mechatronics and Information Engineering. Applied Mechanics and Materials, vol. 644-650, Trans Tech Publications Ltd, pp. 3230-3234, International Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014, Guilin, China, 6/22/14. https://doi.org/10.4028/www.scientific.net/AMM.644-650.3230

Zhu, Li Chao ; Li, Zhi Jun ; Jiang, Shou Xu. / LBSN-based personalized routes recommendation. Machine Tool Technology, Mechatronics and Information Engineering. editor / Zhongmin Wang ; Liangyu Guo ; Jianming Tan ; Dongfang Yang ; Dongfang Yang ; Kun Yang ; Dongfang Yang ; Dongfang Yang ; Dongfang Yang. Trans Tech Publications Ltd, 2014. pp. 3230-3234 (Applied Mechanics and Materials).

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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.; 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",

}

TY - GEN

T1 - LBSN-based personalized routes recommendation

AU - Zhu, Li Chao

AU - Li, Zhi Jun

AU - Jiang, Shou Xu

N1 - Publisher Copyright: © (2014), Trans Tech Publications, Switzerland.

PY - 2014

Y1 - 2014

N2 - 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 precisionand k-cover.

AB - 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 precisionand k-cover.

KW - Activity pattern

KW - Location based social network

KW - Routes recommendation

UR - https://www.scopus.com/pages/publications/84915747834

UR - https://www.scopus.com/pages/publications/84915747834#tab=citedBy

U2 - 10.4028/www.scientific.net/AMM.644-650.3230

DO - 10.4028/www.scientific.net/AMM.644-650.3230

M3 - Conference contribution

AN - SCOPUS:84915747834

T3 - Applied Mechanics and Materials

SP - 3230

EP - 3234

BT - Machine Tool Technology, Mechatronics and Information Engineering

A2 - Wang, Zhongmin

A2 - Guo, Liangyu

A2 - Tan, Jianming

A2 - Yang, Dongfang

A2 - Yang, Kun

A2 - Yang, Dongfang

PB - Trans Tech Publications Ltd

T2 - International Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014

Y2 - 22 June 2014 through 23 June 2014

ER -

LBSN-based personalized routes recommendation

Abstract

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Keywords

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