@inproceedings{21709c74b68e4bc6a2e383dbc94760a9,
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, Personality, Recommender Systems, Serendipity",
author = "Nava Tintarev and Matt Dennis and Judith Masthoff",
year = "2013",
doi = "10.1007/978-3-642-38844-6_16",
language = "English",
isbn = "9783642388439",
volume = "7899 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "190--202",
booktitle = "User Modeling, Adaptation and Personalization - 21st International Conference, UMAP 2013, Proceedings",
note = "21st International Conference on User Modeling, Adaptation and Personalization, UMAP 2013 ; Conference date: 10-06-2013 Through 14-06-2013",
}