short-paper

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

Authors:

Belen Diaz-Agudo,

Andrea Bolioli,

Guilermo Jimenez Jimenez Diaz,

Alan J. WeckerAuthors Info & Claims

UMAP '21: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization

Pages 199 - 202

https://doi.org/10.1145/3450614.3463389

Published: 22 June 2021 Publication History

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.

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Cited By

Mateos PBellogín A(2024)A systematic literature review of recent advances on context-aware recommender systemsArtificial Intelligence Review10.1007/s10462-024-10939-458:1Online publication date: 16-Nov-2024
https://doi.org/10.1007/s10462-024-10939-4
Ardissono LGena CKuflik TMauro NE. Raptis GWecker A(2021)International Workshop on Personalized Access to Cultural HeritageAdjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450614.3461456(184-185)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450614.3461456

Index Terms

Towards Personalized Social Recommendations for Cultural Heritage Activities: Methods and technology to enable cohesive and inclusive recommendations
1. Human-centered computing
2. Information systems
  1. Information retrieval
  2. Information systems applications

Index terms have been assigned to the content through auto-classification.

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Published In

cover image ACM Conferences

UMAP '21: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization

June 2021

431 pages

ISBN:9781450383677

DOI:10.1145/3450614

Editors:
Judith Masthoff
Utrecht University, The Netherlands and University of Aberdeen, UK
,
Eelco Herder
Radboud University, The Netherlands
,
Nava Tintarev
University of Maastricht, The Netherlands
,
Marko Tkalčič
University of Primorska, Slovenia

Copyright © 2021 ACM.

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Published: 22 June 2021

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June 21 - 25, 2021

Utrecht, Netherlands

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Cited By

Mateos PBellogín A(2024)A systematic literature review of recent advances on context-aware recommender systemsArtificial Intelligence Review10.1007/s10462-024-10939-458:1Online publication date: 16-Nov-2024
https://doi.org/10.1007/s10462-024-10939-4
Ardissono LGena CKuflik TMauro NE. Raptis GWecker A(2021)International Workshop on Personalized Access to Cultural HeritageAdjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization10.1145/3450614.3461456(184-185)Online publication date: 21-Jun-2021
https://dl.acm.org/doi/10.1145/3450614.3461456

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