@inproceedings{e382b5411450440db7689f32601dbc06,
title = "Towards Personalized Social Recommendations for Cultural Heritage Activities: Methods and technology to enable cohesive and inclusive recommendations",
abstract = "The aim of the SPICE project is to build social cohesion, both between and within citizen communities, by developing tools and methods to support citizen curation. We define citizen curation as a process in which cultural objects are used as a resource by citizens to develop their own personal interpretations. Within communities, citizens can use their interpretations to build a representation of themselves and their shared perspective on culture. Interpretations can also be used to support social cohesion across groups. In this short position paper we outline the methodologies and technologies needed to be built in order to build a recommender system of cultural objects that will implement these goals of social cohesion and inclusion.",
keywords = "Community model, Semantic Text analysis, Social Recommender, User Model",
author = "Belen Diaz-Agudo and Alessio Bosca and Andrea Bolioli and {Jimenez Jimenez Diaz}, Guilermo and Tsvi Kuflik and {J. Wecker}, Alan",
note = "Publisher Copyright: {\textcopyright} 2021 ACM.; 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021 ; Conference date: 21-06-2020 Through 25-06-2020",
year = "2021",
month = jun,
day = "21",
doi = "10.1145/3450614.3463389",
language = "English",
series = "UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization",
publisher = "Association for Computing Machinery, Inc",
pages = "199--202",
booktitle = "UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization",
}