research-article

Users psychological profiles for leisure activity recommendation: user study

Authors:

Diana Nurbakova,

Léa Laporte,

Sylvie Calabretto,

Jérôme GenselAuthors Info & Claims

CitRec '17: Proceedings of the International Workshop on Recommender Systems for Citizens

Article No.: 3, Pages 1 - 4

https://doi.org/10.1145/3127325.3127328

Published: 31 August 2017 Publication History

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Abstract

Leisure activities are essential in the individual's pursuit of well-being and higher satisfaction with life. In the last few years, the event-based social networks and event-promoting services on Face-book, Couchsurfing etc., have seen a boosting use. Their users are looking for personalised experience but they are often overwhelmed with the number of available options. To overcome this issue, recommender systems serve as users' personal guides. They exploit various techniques and types of influence (geographic, temporal, social, etc.). In this work, we investigate the impact of individuals' psychological profiles on their selection of leisure activities. We describe a comprehensive user study that we have conducted and an associated collection that could be further exploited for the recommendation of leisure activities.

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De Croon RVan Houdt LHtun NŠtiglic GVanden Abeele VVerbert K(2021)Health Recommender Systems: Systematic ReviewJournal of Medical Internet Research10.2196/1803523:6(e18035)Online publication date: 29-Jun-2021
https://doi.org/10.2196/18035
Khwaja MFerrer MIglesias JFaisal AMatic ABogers TSaid ABrusilovsky PTikk D(2019)Aligning daily activities with personalityProceedings of the 13th ACM Conference on Recommender Systems10.1145/3298689.3347020(368-372)Online publication date: 10-Sep-2019
https://dl.acm.org/doi/10.1145/3298689.3347020
Nurbakova DMitrovic TZhang JChen LChin D(2018)Recommendation of Activity Sequences during Distributed EventsProceedings of the 26th Conference on User Modeling, Adaptation and Personalization10.1145/3209219.3213592(261-264)Online publication date: 3-Jul-2018
https://dl.acm.org/doi/10.1145/3209219.3213592
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Index Terms

Users psychological profiles for leisure activity recommendation: user study
1. Information systems
  1. World Wide Web
    1. Web searching and information discovery
      1. Personalization

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Information

Published In

CitRec '17: Proceedings of the International Workshop on Recommender Systems for Citizens

August 2017

38 pages

ISBN:9781450353700

DOI:10.1145/3127325

Conference Chairs:
Jie Yang
Delft University of Technology, Netherlands
,
Zhu Sun
Nanyang Technological University, Singapore
,
Alessandro Bozzon
Delft University of Technology, Netherlands
,
Jie Zhang
Nanyang Technological University, Singapore
,
Martha Larson
Radboud University Nijmegen, Netherlands

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 August 2017

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Région Auvergne-Rhône-Alpes

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CitRec

CitRec: International Workshop on Recommender Systems for Citizens

August 31, 2017

Como, Italy

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De Croon RVan Houdt LHtun NŠtiglic GVanden Abeele VVerbert K(2021)Health Recommender Systems: Systematic ReviewJournal of Medical Internet Research10.2196/1803523:6(e18035)Online publication date: 29-Jun-2021
https://doi.org/10.2196/18035
Khwaja MFerrer MIglesias JFaisal AMatic ABogers TSaid ABrusilovsky PTikk D(2019)Aligning daily activities with personalityProceedings of the 13th ACM Conference on Recommender Systems10.1145/3298689.3347020(368-372)Online publication date: 10-Sep-2019
https://dl.acm.org/doi/10.1145/3298689.3347020
Nurbakova DMitrovic TZhang JChen LChin D(2018)Recommendation of Activity Sequences during Distributed EventsProceedings of the 26th Conference on User Modeling, Adaptation and Personalization10.1145/3209219.3213592(261-264)Online publication date: 3-Jul-2018
https://dl.acm.org/doi/10.1145/3209219.3213592
Yang JCantador INurbakova DCortés-Cediel MBozzon AYang JSun ZBozzon AZhang JLarson M(2017)Recommender systems for citizensProceedings of the International Workshop on Recommender Systems for Citizens10.1145/3127325.3177871(1-4)Online publication date: 31-Aug-2017
https://dl.acm.org/doi/10.1145/3127325.3177871

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Recommendations

Activity Recommendation with Partners

Personalized hybrid recommendation for group of users

Towards Activity Recommendation from Lifelogs

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