Towards Personalized Social Recommendations for Cultural Heritage Activities: Methods and technology to enable cohesive and inclusive recommendations

Belen Diaz-Agudo, Alessio Bosca, Andrea Bolioli, Guilermo Jimenez Jimenez Diaz, Tsvi Kuflik, Alan J. Wecker

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationUMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery, Inc
Pages199-202
Number of pages4
ISBN (Electronic)9781450383677
DOIs
StatePublished - 21 Jun 2021
Event29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021 - Virtual, Online, Netherlands
Duration: 21 Jun 202025 Jun 2020

Publication series

NameUMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021
Country/TerritoryNetherlands
CityVirtual, Online
Period21/06/2025/06/20

Bibliographical note

Funding Information:
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement n° 870811).

Publisher Copyright:
© 2021 ACM.

Keywords

  • Community model
  • Semantic Text analysis
  • Social Recommender
  • User Model

ASJC Scopus subject areas

  • Software

Fingerprint

Dive into the research topics of 'Towards Personalized Social Recommendations for Cultural Heritage Activities: Methods and technology to enable cohesive and inclusive recommendations'. Together they form a unique fingerprint.

Cite this