Abstract
Original language | English |
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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 | |
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 |
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Publisher | Springer |
Volume | 7899 |
ISSN (Print) | 0302-9743 |
Conference
Conference | 21st International Conference on User Modeling, Adaptation and Personalization |
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Country | Italy |
City | Rome |
Period | 10/06/13 → 14/06/13 |
Keywords
- diversity
- serendipity
- personality
- recommender systems
ASJC Scopus subject areas
- Artificial Intelligence
Cite this
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
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TY - GEN
T1 - Adapting Recommendation Diversity to Openness to Experience
T2 - A Study of Human Behaviour
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
ER -