How to use social relationships in group recommenders: Empirical evidence

Amra Delic; Judith Masthoff; Julia Neidhardt; Hannes Werthner

doi:10.1145/3209219.3209226

How to use social relationships in group recommenders: Empirical evidence

Amra Delic^*, Judith Masthoff, Julia Neidhardt, Hannes Werthner

^*Corresponding author for this work

Human-Centered Computing

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

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.

Original language	English
Title of host publication	UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization
Publisher	Association for Computing Machinery
Pages	121-129
Number of pages	9
ISBN (Electronic)	9781450355896
DOIs	https://doi.org/10.1145/3209219.3209226
Publication status	Published - 3 Jul 2018
Event	26th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2018 - Singapore, Singapore Duration: 8 Jul 2018 → 11 Jul 2018

Conference

Conference	26th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2018
Country/Territory	Singapore
City	Singapore
Period	8/07/18 → 11/07/18

Keywords

Group recommender systems
Social network analysis
Social relationships
User modeling

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10.1145/3209219.3209226

Cite this

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title = "How to use social relationships in group recommenders: Empirical evidence",

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.",

keywords = "Group recommender systems, Social network analysis, Social relationships, User modeling",

author = "Amra Delic and Judith Masthoff and Julia Neidhardt and Hannes Werthner",

year = "2018",

month = jul,

day = "3",

doi = "10.1145/3209219.3209226",

language = "English",

pages = "121--129",

booktitle = "UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization",

publisher = "Association for Computing Machinery",

address = "United States",

note = "26th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2018 ; Conference date: 08-07-2018 Through 11-07-2018",

}

Delic, A, Masthoff, J, Neidhardt, J & Werthner, H 2018, How to use social relationships in group recommenders: Empirical evidence. in UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, pp. 121-129, 26th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2018, Singapore, Singapore, 8/07/18. https://doi.org/10.1145/3209219.3209226

How to use social relationships in group recommenders: Empirical evidence. / Delic, Amra; Masthoff, Judith; Neidhardt, Julia et al.
UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, 2018. p. 121-129.

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

TY - GEN

T1 - How to use social relationships in group recommenders

T2 - 26th ACM International Conference on User Modeling, Adaptation and Personalization, UMAP 2018

AU - Delic, Amra

AU - Masthoff, Judith

AU - Neidhardt, Julia

AU - Werthner, Hannes

PY - 2018/7/3

Y1 - 2018/7/3

N2 - 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.

AB - 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.

KW - Group recommender systems

KW - Social network analysis

KW - Social relationships

KW - User modeling

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M3 - Conference contribution

AN - SCOPUS:85051699726

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BT - UMAP 2018 - Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization

PB - Association for Computing Machinery

Y2 - 8 July 2018 through 11 July 2018

ER -

How to use social relationships in group recommenders: Empirical evidence

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Keywords

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