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

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

doi:10.1145/3563359.3596663

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

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

University of Haifa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	American English
Title of host publication	UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
Pages	419-421
Number of pages	3
ISBN (Electronic)	9781450398916
DOIs	https://doi.org/10.1145/3563359.3596663
State	Published - 26 Jun 2023
Event	31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023 - Limassol, Cyprus Duration: 26 Jun 2023 → 30 Jun 2023

Publication series

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

Conference

Conference	31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023
Country/Territory	Cyprus
City	Limassol
Period	26/06/23 → 30/06/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Cultural Heritage
Recommendation Systems
Social Computing

All Science Journal Classification (ASJC) codes

Software

Access to Document

10.1145/3563359.3596663

Cite this

Wecker, A. J., Kuflik, T., Goldberg, T., Lanir, J., & Tabashi, T. (2023). Using Recommendations to Affect Social Change in Cultural Heritage: Should We and How? In UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (pp. 419-421). (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization). https://doi.org/10.1145/3563359.3596663

Wecker, Alan Jay ; Kuflik, Tsvi ; Goldberg, Tsafrir et al. / Using Recommendations to Affect Social Change in Cultural Heritage : Should We and How?. UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. 2023. pp. 419-421 (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization).

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title = "Using Recommendations to Affect Social Change in Cultural Heritage: Should We and How?",

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.",

keywords = "Cultural Heritage, Recommendation Systems, Social Computing",

author = "Wecker, \{Alan Jay\} and Tsvi Kuflik and Tsafrir Goldberg and Joel Lanir and Tal Tabashi",

note = "Publisher Copyright: {\textcopyright} 2023 ACM.; 31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023 ; Conference date: 26-06-2023 Through 30-06-2023",

year = "2023",

month = jun,

day = "26",

doi = "10.1145/3563359.3596663",

language = "American English",

series = "UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization",

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Wecker, AJ, Kuflik, T , Goldberg, T , Lanir, J & Tabashi, T 2023, Using Recommendations to Affect Social Change in Cultural Heritage: Should We and How? in UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, pp. 419-421, 31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023, Limassol, Cyprus, 26/06/23. https://doi.org/10.1145/3563359.3596663

Using Recommendations to Affect Social Change in Cultural Heritage: Should We and How? / Wecker, Alan Jay; Kuflik, Tsvi ; Goldberg, Tsafrir et al.
UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. 2023. p. 419-421 (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization).

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

TY - GEN

T1 - Using Recommendations to Affect Social Change in Cultural Heritage

T2 - 31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023

AU - Wecker, Alan Jay

AU - Kuflik, Tsvi

AU - Goldberg, Tsafrir

AU - Lanir, Joel

AU - Tabashi, Tal

PY - 2023/6/26

Y1 - 2023/6/26

N2 - 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.

AB - 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.

KW - Cultural Heritage

KW - Recommendation Systems

KW - Social Computing

UR - http://www.scopus.com/inward/record.url?scp=85163708714&partnerID=8YFLogxK

U2 - 10.1145/3563359.3596663

DO - 10.1145/3563359.3596663

M3 - Conference contribution

T3 - UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization

SP - 419

EP - 421

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

Y2 - 26 June 2023 through 30 June 2023

ER -

Wecker AJ, Kuflik T , Goldberg T , Lanir J, Tabashi T. Using Recommendations to Affect Social Change in Cultural Heritage: Should We and How? In UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. 2023. p. 419-421. (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization). doi: 10.1145/3563359.3596663

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

Abstract

Publication series

Conference

UN SDGs

Keywords

All Science Journal Classification (ASJC) codes

Access to Document

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Cite this