Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour

Nava Tintarev; Matthew Gordon Dennis; Judith Masthoff

doi:10.1007/978-3-642-38844-6_16

Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour

Nava Tintarev, Matthew Gordon Dennis, Judith Masthoff

Computing Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

24 Citations (Scopus)

7 Downloads (Pure)

Abstract

This paper uses a User-as-Wizard approach to evaluate how people apply diversity to a set of recommendations. In particular, it considers how diversity is applied for a recipient with high or low Openness to Experience, a personality trait from the Five Factor Model. While there was no effect of the personality trait on the degree of diversity applied, there seems to be a trend in the way in which it was applied. Maximal categorical diversity (across genres) was more likely to be applied to those with high Openness to Experience, at the expense of maximal thematic diversity (within genres).

Original language	English
Title of host publication	User Modeling, Adaptation, and Personalization
Subtitle of host publication	21th International Conference, UMAP 2013, Rome, Italy, June 10-14, 2013 Proceedings
Editors	Sandra Carberry, Stephan Weibelzahl, Alessandro Micarelli, Giovanni Semeraro
Publisher	Springer
Pages	190-202
Number of pages	13
ISBN (Electronic)	978-3-642-38844-6
ISBN (Print)	978-3-642-38843-9
DOIs	https://doi.org/10.1007/978-3-642-38844-6_16
Publication status	Published - 2013
Event	21st International Conference on User Modeling, Adaptation and Personalization - Rome, Italy Duration: 10 Jun 2013 → 14 Jun 2013

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	7899
ISSN (Print)	0302-9743

Conference

Conference	21st International Conference on User Modeling, Adaptation and Personalization
Country	Italy
City	Rome
Period	10/06/13 → 14/06/13

Keywords

diversity
serendipity
personality
recommender systems

Access to Document

10.1007/978-3-642-38844-6_16

DennisTintarevMasthoff2013Accepted author manuscript, 867 KB

http://link.springer.com/chapter/10.1007%2F978-3-642-38844-6_16

Cite this

Tintarev, N., Dennis, M. G., & Masthoff, J. (2013). Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour. In S. Carberry, S. Weibelzahl, A. Micarelli, & G. Semeraro (Eds.), User Modeling, Adaptation, and Personalization: 21th International Conference, UMAP 2013, Rome, Italy, June 10-14, 2013 Proceedings (pp. 190-202). (Lecture Notes in Computer Science; Vol. 7899). Springer . https://doi.org/10.1007/978-3-642-38844-6_16

Adapting Recommendation Diversity to Openness to Experience : A Study of Human Behaviour. / Tintarev, Nava; Dennis, Matthew Gordon; Masthoff, Judith.

User Modeling, Adaptation, and Personalization: 21th International Conference, UMAP 2013, Rome, Italy, June 10-14, 2013 Proceedings. ed. / Sandra Carberry; Stephan Weibelzahl; Alessandro Micarelli; Giovanni Semeraro. Springer , 2013. p. 190-202 (Lecture Notes in Computer Science; Vol. 7899).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Tintarev, N, Dennis, MG & Masthoff, J 2013, Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour. in S Carberry, S Weibelzahl, A Micarelli & G Semeraro (eds), User Modeling, Adaptation, and Personalization: 21th International Conference, UMAP 2013, Rome, Italy, June 10-14, 2013 Proceedings. Lecture Notes in Computer Science, vol. 7899, Springer , pp. 190-202, 21st International Conference on User Modeling, Adaptation and Personalization, Rome, Italy, 10/06/13. https://doi.org/10.1007/978-3-642-38844-6_16

Tintarev N, Dennis MG, Masthoff J. Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour. In Carberry S, Weibelzahl S, Micarelli A, Semeraro G, editors, User Modeling, Adaptation, and Personalization: 21th International Conference, UMAP 2013, Rome, Italy, June 10-14, 2013 Proceedings. Springer . 2013. p. 190-202. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-642-38844-6_16

Tintarev, Nava ; Dennis, Matthew Gordon ; Masthoff, Judith. / Adapting Recommendation Diversity to Openness to Experience : A Study of Human Behaviour. User Modeling, Adaptation, and Personalization: 21th International Conference, UMAP 2013, Rome, Italy, June 10-14, 2013 Proceedings. editor / Sandra Carberry ; Stephan Weibelzahl ; Alessandro Micarelli ; Giovanni Semeraro. Springer , 2013. pp. 190-202 (Lecture Notes in Computer Science).

@inproceedings{ecd137abd39b492dbc5bcb19c542e7f7,

title = "Adapting Recommendation Diversity to Openness to Experience: A Study of Human Behaviour",

abstract = "This paper uses a User-as-Wizard approach to evaluate how people apply diversity to a set of recommendations. In particular, it considers how diversity is applied for a recipient with high or low Openness to Experience, a personality trait from the Five Factor Model. While there was no effect of the personality trait on the degree of diversity applied, there seems to be a trend in the way in which it was applied. Maximal categorical diversity (across genres) was more likely to be applied to those with high Openness to Experience, at the expense of maximal thematic diversity (within genres).",

keywords = "diversity, serendipity, personality, recommender systems",

author = "Nava Tintarev and Dennis, {Matthew Gordon} and Judith Masthoff",

year = "2013",

doi = "10.1007/978-3-642-38844-6_16",

language = "English",

isbn = "978-3-642-38843-9 ",

series = "Lecture Notes in Computer Science",

publisher = "Springer ",

pages = "190--202",

editor = "Sandra Carberry and Stephan Weibelzahl and Alessandro Micarelli and Giovanni Semeraro",

booktitle = "User Modeling, Adaptation, and Personalization",

note = "21st International Conference on User Modeling, Adaptation and Personalization ; Conference date: 10-06-2013 Through 14-06-2013",

}

TY - GEN

T1 - Adapting Recommendation Diversity to Openness to Experience

T2 - 21st International Conference on User Modeling, Adaptation and Personalization

AU - Tintarev, Nava

AU - Dennis, Matthew Gordon

AU - Masthoff, Judith

PY - 2013

Y1 - 2013

N2 - This paper uses a User-as-Wizard approach to evaluate how people apply diversity to a set of recommendations. In particular, it considers how diversity is applied for a recipient with high or low Openness to Experience, a personality trait from the Five Factor Model. While there was no effect of the personality trait on the degree of diversity applied, there seems to be a trend in the way in which it was applied. Maximal categorical diversity (across genres) was more likely to be applied to those with high Openness to Experience, at the expense of maximal thematic diversity (within genres).

AB - This paper uses a User-as-Wizard approach to evaluate how people apply diversity to a set of recommendations. In particular, it considers how diversity is applied for a recipient with high or low Openness to Experience, a personality trait from the Five Factor Model. While there was no effect of the personality trait on the degree of diversity applied, there seems to be a trend in the way in which it was applied. Maximal categorical diversity (across genres) was more likely to be applied to those with high Openness to Experience, at the expense of maximal thematic diversity (within genres).

KW - diversity

KW - serendipity

KW - personality

KW - recommender systems

U2 - 10.1007/978-3-642-38844-6_16

DO - 10.1007/978-3-642-38844-6_16

M3 - Conference contribution

SN - 978-3-642-38843-9

T3 - Lecture Notes in Computer Science

SP - 190

EP - 202

BT - User Modeling, Adaptation, and Personalization

A2 - Carberry, Sandra

A2 - Weibelzahl, Stephan

A2 - Micarelli, Alessandro

A2 - Semeraro, Giovanni

PB - Springer

Y2 - 10 June 2013 through 14 June 2013

ER -