Group trip recommendation systems

Hua Hong Huang, Sheng Min Chiu, Yi Chung Chen, Chiang Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many of the most popular tourist attraction recommendation systems use the personal profiles of users from social networks. However, most of these services focus on individuals, rather than group activities with friends and family, despite the fact that check-in data includes accompanying members. In this study, we developed a recommendation system specifically for groups of users. Experiments demonstrate the efficacy of the proposed algorithm in making group recommendations based on the Foursquare dataset, with performance exceeding that of baseline methods.

Original languageEnglish
Title of host publicationAdvances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1
EditorsRahul Bhatia, Kohei Arai, Supriya Kapoor
PublisherSpringer Verlag
Pages391-412
Number of pages22
ISBN (Print)9783030034016
DOIs
Publication statusPublished - 2019 Jan 1
EventFuture of Information and Communication Conference, FICC 2018 - Singapore, Singapore
Duration: 2018 Apr 52018 Apr 6

Publication series

NameAdvances in Intelligent Systems and Computing
Volume886
ISSN (Print)2194-5357

Other

OtherFuture of Information and Communication Conference, FICC 2018
CountrySingapore
CitySingapore
Period18-04-0518-04-06

Fingerprint

Recommender systems
Experiments

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Huang, H. H., Chiu, S. M., Chen, Y. C., & Lee, C. (2019). Group trip recommendation systems. In R. Bhatia, K. Arai, & S. Kapoor (Eds.), Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1 (pp. 391-412). (Advances in Intelligent Systems and Computing; Vol. 886). Springer Verlag. https://doi.org/10.1007/978-3-030-03402-3_27
Huang, Hua Hong ; Chiu, Sheng Min ; Chen, Yi Chung ; Lee, Chiang. / Group trip recommendation systems. Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. editor / Rahul Bhatia ; Kohei Arai ; Supriya Kapoor. Springer Verlag, 2019. pp. 391-412 (Advances in Intelligent Systems and Computing).
@inproceedings{cd11ef6751144681a8c0662094ec9cee,
title = "Group trip recommendation systems",
abstract = "Many of the most popular tourist attraction recommendation systems use the personal profiles of users from social networks. However, most of these services focus on individuals, rather than group activities with friends and family, despite the fact that check-in data includes accompanying members. In this study, we developed a recommendation system specifically for groups of users. Experiments demonstrate the efficacy of the proposed algorithm in making group recommendations based on the Foursquare dataset, with performance exceeding that of baseline methods.",
author = "Huang, {Hua Hong} and Chiu, {Sheng Min} and Chen, {Yi Chung} and Chiang Lee",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-030-03402-3_27",
language = "English",
isbn = "9783030034016",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "391--412",
editor = "Rahul Bhatia and Kohei Arai and Supriya Kapoor",
booktitle = "Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1",
address = "Germany",

}

Huang, HH, Chiu, SM, Chen, YC & Lee, C 2019, Group trip recommendation systems. in R Bhatia, K Arai & S Kapoor (eds), Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. Advances in Intelligent Systems and Computing, vol. 886, Springer Verlag, pp. 391-412, Future of Information and Communication Conference, FICC 2018, Singapore, Singapore, 18-04-05. https://doi.org/10.1007/978-3-030-03402-3_27

Group trip recommendation systems. / Huang, Hua Hong; Chiu, Sheng Min; Chen, Yi Chung; Lee, Chiang.

Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. ed. / Rahul Bhatia; Kohei Arai; Supriya Kapoor. Springer Verlag, 2019. p. 391-412 (Advances in Intelligent Systems and Computing; Vol. 886).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Group trip recommendation systems

AU - Huang, Hua Hong

AU - Chiu, Sheng Min

AU - Chen, Yi Chung

AU - Lee, Chiang

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Many of the most popular tourist attraction recommendation systems use the personal profiles of users from social networks. However, most of these services focus on individuals, rather than group activities with friends and family, despite the fact that check-in data includes accompanying members. In this study, we developed a recommendation system specifically for groups of users. Experiments demonstrate the efficacy of the proposed algorithm in making group recommendations based on the Foursquare dataset, with performance exceeding that of baseline methods.

AB - Many of the most popular tourist attraction recommendation systems use the personal profiles of users from social networks. However, most of these services focus on individuals, rather than group activities with friends and family, despite the fact that check-in data includes accompanying members. In this study, we developed a recommendation system specifically for groups of users. Experiments demonstrate the efficacy of the proposed algorithm in making group recommendations based on the Foursquare dataset, with performance exceeding that of baseline methods.

UR - http://www.scopus.com/inward/record.url?scp=85058522716&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85058522716&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-03402-3_27

DO - 10.1007/978-3-030-03402-3_27

M3 - Conference contribution

SN - 9783030034016

T3 - Advances in Intelligent Systems and Computing

SP - 391

EP - 412

BT - Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1

A2 - Bhatia, Rahul

A2 - Arai, Kohei

A2 - Kapoor, Supriya

PB - Springer Verlag

ER -

Huang HH, Chiu SM, Chen YC, Lee C. Group trip recommendation systems. In Bhatia R, Arai K, Kapoor S, editors, Advances in Information and Communication Networks - Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. Springer Verlag. 2019. p. 391-412. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-03402-3_27