An interactive recommender system for group holiday decision-making

Lanyun Zhang; Xu Sun

doi:10.1007/978-3-319-91803-7_50

An interactive recommender system for group holiday decision-making

Lanyun Zhang, Xu Sun

Department of Mechanical, Materials and Manufacturing Engineering

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Various types of applications are available on mobile devices that support the holiday decision-making of individual tourists. However, people often travel in groups and existing applications lack the services to support the decision-making of tourists who travel in a group. In group holiday decision-making, intra-group interaction plays a major role. In this work, we design an system that provides recommendations for tourist groups based on their travel preferecnes. Meanwhile, the system allows each group member to participate in the process of such recommendation through the design of interactive features. The recommendation mechanism is based on an ontology that describes the tourism-related information of a destination. This paper presents the design idea, the development of the system (including the ontology, the aggregation strategy, the recommendation mechanism, and the interactive features), and the preliminary findings of evaluating the user experience. The results show that the system facilitates the group holiday decision-making and provides users with an engaging experience.

Original language	English
Title of host publication	Design, User Experience, and Usability
Subtitle of host publication	Theory and Practice - 7th International Conference, DUXU 2018, Held as Part of HCI International 2018, Proceedings
Editors	Wentao Wang, Aaron Marcus
Publisher	Springer Verlag
Pages	673-683
Number of pages	11
ISBN (Print)	9783319918020
DOIs	https://doi.org/10.1007/978-3-319-91803-7_50
Publication status	Published - 2018
Event	7th International Conference on Design, User Experience, and Usability, DUXU 2018 Held as Part of HCI International 2018 - Las Vegas, United States Duration: 15 Jul 2018 → 20 Jul 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10919 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Design, User Experience, and Usability, DUXU 2018 Held as Part of HCI International 2018
Country/Territory	United States
City	Las Vegas
Period	15/07/18 → 20/07/18

Keywords

EEG
Holiday decision-making
Mobile devices
Ontology
Recommender system
Tourist group
User interface

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-91803-7_50

Cite this

Zhang, L., & Sun, X. (2018). An interactive recommender system for group holiday decision-making. In W. Wang, & A. Marcus (Eds.), Design, User Experience, and Usability: Theory and Practice - 7th International Conference, DUXU 2018, Held as Part of HCI International 2018, Proceedings (pp. 673-683). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10919 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-91803-7_50

Zhang, Lanyun ; Sun, Xu. / An interactive recommender system for group holiday decision-making. Design, User Experience, and Usability: Theory and Practice - 7th International Conference, DUXU 2018, Held as Part of HCI International 2018, Proceedings. editor / Wentao Wang ; Aaron Marcus. Springer Verlag, 2018. pp. 673-683 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "An interactive recommender system for group holiday decision-making",

abstract = "Various types of applications are available on mobile devices that support the holiday decision-making of individual tourists. However, people often travel in groups and existing applications lack the services to support the decision-making of tourists who travel in a group. In group holiday decision-making, intra-group interaction plays a major role. In this work, we design an system that provides recommendations for tourist groups based on their travel preferecnes. Meanwhile, the system allows each group member to participate in the process of such recommendation through the design of interactive features. The recommendation mechanism is based on an ontology that describes the tourism-related information of a destination. This paper presents the design idea, the development of the system (including the ontology, the aggregation strategy, the recommendation mechanism, and the interactive features), and the preliminary findings of evaluating the user experience. The results show that the system facilitates the group holiday decision-making and provides users with an engaging experience.",

keywords = "EEG, Holiday decision-making, Mobile devices, Ontology, Recommender system, Tourist group, User interface",

author = "Lanyun Zhang and Xu Sun",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 7th International Conference on Design, User Experience, and Usability, DUXU 2018 Held as Part of HCI International 2018 ; Conference date: 15-07-2018 Through 20-07-2018",

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Zhang, L & Sun, X 2018, An interactive recommender system for group holiday decision-making. in W Wang & A Marcus (eds), Design, User Experience, and Usability: Theory and Practice - 7th International Conference, DUXU 2018, Held as Part of HCI International 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10919 LNCS, Springer Verlag, pp. 673-683, 7th International Conference on Design, User Experience, and Usability, DUXU 2018 Held as Part of HCI International 2018, Las Vegas, United States, 15/07/18. https://doi.org/10.1007/978-3-319-91803-7_50

An interactive recommender system for group holiday decision-making. / Zhang, Lanyun; Sun, Xu.
Design, User Experience, and Usability: Theory and Practice - 7th International Conference, DUXU 2018, Held as Part of HCI International 2018, Proceedings. ed. / Wentao Wang; Aaron Marcus. Springer Verlag, 2018. p. 673-683 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10919 LNCS).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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AU - Zhang, Lanyun

AU - Sun, Xu

N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.

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N2 - Various types of applications are available on mobile devices that support the holiday decision-making of individual tourists. However, people often travel in groups and existing applications lack the services to support the decision-making of tourists who travel in a group. In group holiday decision-making, intra-group interaction plays a major role. In this work, we design an system that provides recommendations for tourist groups based on their travel preferecnes. Meanwhile, the system allows each group member to participate in the process of such recommendation through the design of interactive features. The recommendation mechanism is based on an ontology that describes the tourism-related information of a destination. This paper presents the design idea, the development of the system (including the ontology, the aggregation strategy, the recommendation mechanism, and the interactive features), and the preliminary findings of evaluating the user experience. The results show that the system facilitates the group holiday decision-making and provides users with an engaging experience.

AB - Various types of applications are available on mobile devices that support the holiday decision-making of individual tourists. However, people often travel in groups and existing applications lack the services to support the decision-making of tourists who travel in a group. In group holiday decision-making, intra-group interaction plays a major role. In this work, we design an system that provides recommendations for tourist groups based on their travel preferecnes. Meanwhile, the system allows each group member to participate in the process of such recommendation through the design of interactive features. The recommendation mechanism is based on an ontology that describes the tourism-related information of a destination. This paper presents the design idea, the development of the system (including the ontology, the aggregation strategy, the recommendation mechanism, and the interactive features), and the preliminary findings of evaluating the user experience. The results show that the system facilitates the group holiday decision-making and provides users with an engaging experience.

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ER -

Zhang L, Sun X. An interactive recommender system for group holiday decision-making. In Wang W, Marcus A, editors, Design, User Experience, and Usability: Theory and Practice - 7th International Conference, DUXU 2018, Held as Part of HCI International 2018, Proceedings. Springer Verlag. 2018. p. 673-683. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-91803-7_50

An interactive recommender system for group holiday decision-making

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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