Using Recommendations to Affect Social Change in Cultural Heritage: Should We and How?

Alan Jay Wecker, Tsvi Kuflik, Tsafrir Goldberg, Joel Lanir, Tal Tabashi

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

Abstract

This paper suggests a different look at recommender systems - instead of the classical approach - recommending what the user may be interested in (including also diversity and serendipity aspects), taking a societal point of view. We suggest examining the use of recommender systems for social recommendations (defined here) to enact social change. We suggest the use of this technology for encouraging visitors to cultural heritage sites to explore diversity of opinions and perspectives related to artifacts and events and to reflect - implementing an interpretation-reflection loop. Visitors are encouraged not only to explore diversity of content but to contribute their own perspective, so others can explore it in the future. We look at this from three perspectives: goals, methods and evaluation.

Original languageEnglish
Title of host publicationUMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
PublisherAssociation for Computing Machinery, Inc
Pages419-421
Number of pages3
ISBN (Electronic)9781450398916
DOIs
StatePublished - 26 Jun 2023
Event31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023 - Limassol, Cyprus
Duration: 26 Jun 202330 Jun 2023

Publication series

NameUMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

Conference

Conference31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023
Country/TerritoryCyprus
CityLimassol
Period26/06/2330/06/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Keywords

  • Cultural Heritage
  • Recommendation Systems
  • Social Computing

ASJC Scopus subject areas

  • Software

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