@inproceedings{c21fef662a484e2ebc0d46c95ca4134b,
title = "Implicit acquisition of user personality for augmenting movie recommendations",
abstract = "In recent years, user personality has been recognized as valuable info to build more personalized recommender systems. However, the effort of explicitly acquiring users{\textquoteright} personality traits via psychological questionnaire is unavoidably high, which may impede the application of personality-based recommenders in real life. In this paper, we focus on deriving users{\textquoteright} personality from their implicit behavior in movie domain and hence enabling the generation of recommendations without involving users{\textquoteright} efforts. Concretely, we identify a set of behavioral features through experimental validation, and develop inference model based on Gaussian Process to unify these features for determining users{\textquoteright} big-five personality traits. We then test the model in a collaborative filtering based recommending framework on two real-life movie datasets, which demonstrates that our implicit personality based recommending algorithm significantly outperforms related methods in terms of both rating prediction and ranking accuracy. The experimental results point out an effective solution to boost the applicability of personality-based recommender systems in online environment.",
keywords = "Collaborative filtering, Implicit acquisition, Recommender systems, User personality",
author = "Wen Wu and Li Chen",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 23rd International Conference on User Modeling, Adaptation and Personalization, UMAP 2015 ; Conference date: 29-06-2015 Through 03-07-2015",
year = "2015",
doi = "10.1007/978-3-319-20267-9\_25",
language = "英语",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "302--314",
editor = "Kalina Bontcheva and Francesco Ricci and Owen Conlan and S{\'e}amus Lawless",
booktitle = "User Modeling, Adaptation and Personalization - 23rd International Conference, UMAP 2015, Proceedings",
address = "德国",
}