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

doi:10.1145/3450614.3463389

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization
Publisher	Association for Computing Machinery, Inc
Pages	199-202
Number of pages	4
ISBN (Electronic)	9781450383677
DOIs	https://doi.org/10.1145/3450614.3463389
State	Published - 21 Jun 2021
Event	29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021 - Virtual, Online, Netherlands Duration: 21 Jun 2021 → 25 Jun 2021

Publication series

Name	Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference	29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021
Country/Territory	Netherlands
City	Virtual, Online
Period	21/06/21 → 25/06/21

Bibliographical note

Publisher Copyright:
© 2021 ACM.

Keywords

Community model
Semantic Text analysis
Social Recommender
User Model

ASJC Scopus subject areas

Software

Access to Document

10.1145/3450614.3463389

Cite this

Diaz-Agudo, B., Bosca, A., Bolioli, A., Jimenez Jimenez Diaz, G., Kuflik, T., & J. Wecker, A. (2021). Towards Personalized Social Recommendations for Cultural Heritage Activities: Methods and technology to enable cohesive and inclusive recommendations. In UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization (pp. 199-202). (Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization). Association for Computing Machinery, Inc. https://doi.org/10.1145/3450614.3463389

Diaz-Agudo, Belen ; Bosca, Alessio ; Bolioli, Andrea et al. / Towards Personalized Social Recommendations for Cultural Heritage Activities : Methods and technology to enable cohesive and inclusive recommendations. UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, 2021. pp. 199-202 (Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization).

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Diaz-Agudo, B, Bosca, A, Bolioli, A, Jimenez Jimenez Diaz, G, Kuflik, T & J. Wecker, A 2021, Towards Personalized Social Recommendations for Cultural Heritage Activities: Methods and technology to enable cohesive and inclusive recommendations. in UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization. Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, Association for Computing Machinery, Inc, pp. 199-202, 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021, Virtual, Online, Netherlands, 21/06/21. https://doi.org/10.1145/3450614.3463389

Towards Personalized Social Recommendations for Cultural Heritage Activities: Methods and technology to enable cohesive and inclusive recommendations. / Diaz-Agudo, Belen; Bosca, Alessio; Bolioli, Andrea et al.
UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc, 2021. p. 199-202 (Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Diaz-Agudo B, Bosca A, Bolioli A, Jimenez Jimenez Diaz G, Kuflik T, J. Wecker A. Towards Personalized Social Recommendations for Cultural Heritage Activities: Methods and technology to enable cohesive and inclusive recommendations. In UMAP 2021 - Adjunct Publication of the 29th ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery, Inc. 2021. p. 199-202. (Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization). doi: 10.1145/3450614.3463389

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this