SRC: Incorporating Geographic Information for Building a Location-based Recommendation System

Yuankun Jiao; Yao Yi Chiang

doi:10.1145/3474717.3486811

SRC: Incorporating Geographic Information for Building a Location-based Recommendation System

Yuankun Jiao, Yao Yi Chiang

Computer Science and Engineering

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

Abstract

This study proposes a novel approach for location recommendation based on content-based recommendation algorithms incorporated with geographic information. The study also analyzes the impact of various dimension reduction (DR) methods on the recommendation quality using various baseline approaches. The experiment demonstrates that the proposed approach to content-based location recommendations is feasible and valuable, with potentials for further research.

Original language	English (US)
Title of host publication	29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021
Editors	Xiaofeng Meng, Fusheng Wang, Chang-Tien Lu, Yan Huang, Shashi Shekhar, Xing Xie
Publisher	Association for Computing Machinery
Pages	680-681
Number of pages	2
ISBN (Electronic)	9781450386647
DOIs	https://doi.org/10.1145/3474717.3486811
State	Published - Nov 2 2021
Event	29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021 - Virtual, Online, China Duration: Nov 2 2021 → Nov 5 2021

Publication series

Name	GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Conference

Conference	29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021
Country/Territory	China
City	Virtual, Online
Period	11/2/21 → 11/5/21

Bibliographical note

Publisher Copyright:
© 2021 ACM.

Keywords

data mining
dimension reduction
location recommendation system

Publisher link

10.1145/3474717.3486811

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Jiao, Y., & Chiang, Y. Y. (2021). SRC: Incorporating Geographic Information for Building a Location-based Recommendation System. In X. Meng, F. Wang, C.-T. Lu, Y. Huang, S. Shekhar, & X. Xie (Eds.), 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021 (pp. 680-681). (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems). Association for Computing Machinery. https://doi.org/10.1145/3474717.3486811

SRC: Incorporating Geographic Information for Building a Location-based Recommendation System. / Jiao, Yuankun; Chiang, Yao Yi.
29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021. ed. / Xiaofeng Meng; Fusheng Wang; Chang-Tien Lu; Yan Huang; Shashi Shekhar; Xing Xie. Association for Computing Machinery, 2021. p. 680-681 (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).

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

Jiao, Y & Chiang, YY 2021, SRC: Incorporating Geographic Information for Building a Location-based Recommendation System. in X Meng, F Wang, C-T Lu, Y Huang, S Shekhar & X Xie (eds), 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, Association for Computing Machinery, pp. 680-681, 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021, Virtual, Online, China, 11/2/21. https://doi.org/10.1145/3474717.3486811

Jiao Y, Chiang YY. SRC: Incorporating Geographic Information for Building a Location-based Recommendation System. In Meng X, Wang F, Lu CT, Huang Y, Shekhar S, Xie X, editors, 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021. Association for Computing Machinery. 2021. p. 680-681. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems). doi: 10.1145/3474717.3486811

Jiao, Yuankun ; Chiang, Yao Yi. / SRC : Incorporating Geographic Information for Building a Location-based Recommendation System. 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021. editor / Xiaofeng Meng ; Fusheng Wang ; Chang-Tien Lu ; Yan Huang ; Shashi Shekhar ; Xing Xie. Association for Computing Machinery, 2021. pp. 680-681 (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).

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abstract = "This study proposes a novel approach for location recommendation based on content-based recommendation algorithms incorporated with geographic information. The study also analyzes the impact of various dimension reduction (DR) methods on the recommendation quality using various baseline approaches. The experiment demonstrates that the proposed approach to content-based location recommendations is feasible and valuable, with potentials for further research.",

keywords = "data mining, dimension reduction, location recommendation system",

author = "Yuankun Jiao and Chiang, {Yao Yi}",

note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2021 ; Conference date: 02-11-2021 Through 05-11-2021",

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AB - This study proposes a novel approach for location recommendation based on content-based recommendation algorithms incorporated with geographic information. The study also analyzes the impact of various dimension reduction (DR) methods on the recommendation quality using various baseline approaches. The experiment demonstrates that the proposed approach to content-based location recommendations is feasible and valuable, with potentials for further research.

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ER -

SRC: Incorporating Geographic Information for Building a Location-based Recommendation System

Abstract

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Keywords

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