Trust-based recommender systems usually overlook the cultural background of people when making suggestions. In this paper, we propose some strategies to include the home country of users in trust-based recommendation algorithms and we aim to understand if this information can improve the recommender system performance.
Impact of Users' Cultural Background on Multi-faceted Trust-based Recommender Systems
Mauro Noemi;Hu Zhongli Filippo;Petrone Giovanna;Segnan Marino;Mattutino Claudio
2023-01-01
Abstract
Trust-based recommender systems usually overlook the cultural background of people when making suggestions. In this paper, we propose some strategies to include the home country of users in trust-based recommendation algorithms and we aim to understand if this information can improve the recommender system performance.File in questo prodotto:
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