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How to Use Social Relationships in Group Recommenders: Empirical Evidence

Published: 03 July 2018 Publication History

Abstract

In this paper we present the results of a user study focusing on social relationships within small groups. The goal is to better understand how to incorporate the information about social relationships in group recommendation models. Our analysis, conducted on a data set of 150 participants in 41 groups deciding on a travel destination to visit together, brings out some intriguing outcomes. We demonstrate that social centrality is hardly an indicator of the social influence in the decision-making process of "equality matching" types of groups. However, socially central group members and socially close groups are significantly happier with group decisions than those who are loosely related. Moreover, in this paper we show that social relationships are indicators of other concepts relevant in group settings, therefore in group recommender systems as well.

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Cited By

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  • (2024)Predicting Group Choices from Group ProfilesACM Transactions on Interactive Intelligent Systems10.1145/363971014:1(1-27)Online publication date: 10-Jan-2024
  • (2024)GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and PersonalizationAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3658535(316-318)Online publication date: 27-Jun-2024
  • (2024)A dynamic fuzzy group recommender system based on intuitionistic fuzzy choquet integral aggregationSoft Computing10.1007/s00500-023-09485-yOnline publication date: 3-Jan-2024
  • Show More Cited By

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Published In

cover image ACM Conferences
UMAP '18: Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization
July 2018
393 pages
ISBN:9781450355896
DOI:10.1145/3209219
  • General Chairs:
  • Tanja Mitrovic,
  • Jie Zhang,
  • Program Chairs:
  • Li Chen,
  • David Chin
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 the author(s) 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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New York, NY, United States

Publication History

Published: 03 July 2018

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Author Tags

  1. group recommender systems
  2. social network analysis
  3. social relationships
  4. user modeling

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UMAP '18
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UMAP '18 Paper Acceptance Rate 26 of 93 submissions, 28%;
Overall Acceptance Rate 162 of 633 submissions, 26%

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Cited By

View all
  • (2024)Predicting Group Choices from Group ProfilesACM Transactions on Interactive Intelligent Systems10.1145/363971014:1(1-27)Online publication date: 10-Jan-2024
  • (2024)GMAP 2024: 3rd Workshop on Group Modeling, Adaptation and PersonalizationAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3658535(316-318)Online publication date: 27-Jun-2024
  • (2024)A dynamic fuzzy group recommender system based on intuitionistic fuzzy choquet integral aggregationSoft Computing10.1007/s00500-023-09485-yOnline publication date: 3-Jan-2024
  • (2023)The Effect of Similarity Metric and Group Size on Outlier Selection & Satisfaction in Group Recommender SystemsAdjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization10.1145/3563359.3597386(296-301)Online publication date: 26-Jun-2023
  • (2023)GMAP 2023: 2nd Workshop on Group Modeling, Adaptation and PersonalizationAdjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization10.1145/3563359.3595628(249-252)Online publication date: 26-Jun-2023
  • (2023)Evaluating explainable social choice-based aggregation strategies for group recommendationUser Modeling and User-Adapted Interaction10.1007/s11257-023-09363-034:1(1-58)Online publication date: 21-Jun-2023
  • (2022)Tutorial on Offline Evaluation for Group Recommender SystemsProceedings of the 16th ACM Conference on Recommender Systems10.1145/3523227.3547371(702-705)Online publication date: 12-Sep-2022
  • (2022)Group Decision-Making and Designing Group Recommender SystemsHandbook of e-Tourism10.1007/978-3-030-48652-5_57(941-963)Online publication date: 2-Sep-2022
  • (2022)Network Science and e-TourismHandbook of e-Tourism10.1007/978-3-030-48652-5_33(583-594)Online publication date: 2-Sep-2022
  • (2022)Individual and Group Decision Making and Recommender SystemsRecommender Systems Handbook10.1007/978-1-0716-2197-4_21(789-832)Online publication date: 22-Apr-2022
  • Show More Cited By

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