Adapting recommendation diversity to openness to experience: A study of human behaviour

Nava Tintarev, Matt Dennis, Judith Masthoff

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationUser Modeling, Adaptation and Personalization - 21st International Conference, UMAP 2013, Proceedings
Pages190-202
Number of pages13
Volume7899 LNCS
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event21st International Conference on User Modeling, Adaptation and Personalization - Rome, Italy
Duration: 10 Jun 201314 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7899 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference21st International Conference on User Modeling, Adaptation and Personalization
Abbreviated titleUMAP 2013
Country/TerritoryItaly
CityRome
Period10/06/1314/06/13

Keywords

  • Diversity
  • Personality
  • Recommender Systems
  • Serendipity

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