Covering Covers: Characterization Of Visual Elements Regarding Sleeves

Yessin Beyhan; Maria Soledad Pera

doi:10.1145/3563359.3597404

Covering Covers: Characterization Of Visual Elements Regarding Sleeves

Web Information Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

22 Downloads (Pure)

Abstract

The aim of this work is to explore common traits preferred across different age groups of children to identify the appeal of book covers. By analyzing visual attributes, visible objects, and implied stories inferred from the covers, we can gain insights into the elements that are most attractive to children up to 18 years old. These findings can then contribute towards advancing personalization for recommender systems for children through new means that do not rely on historical data, seldom available for this user group.

Original language	English
Title of host publication	UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization
Publisher	Association for Computing Machinery (ACM)
Pages	28-33
Number of pages	6
ISBN (Electronic)	9781450398916
DOIs	https://doi.org/10.1145/3563359.3597404
Publication status	Published - 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

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

children
personalization
Recommender Systems
user modeling

Access to Document

10.1145/3563359.3597404

3563359.3597404Final published version, 889 KB

Cite this

Beyhan, Y., & Pera, M. S. (2023). Covering Covers: Characterization Of Visual Elements Regarding Sleeves. In UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (pp. 28-33). (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization). Association for Computing Machinery (ACM). https://doi.org/10.1145/3563359.3597404

Beyhan, Yessin ; Pera, Maria Soledad. / Covering Covers : Characterization Of Visual Elements Regarding Sleeves. UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), 2023. pp. 28-33 (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization).

@inproceedings{aec98d1417914501b7b790d76872edb4,

title = "Covering Covers: Characterization Of Visual Elements Regarding Sleeves",

abstract = "The aim of this work is to explore common traits preferred across different age groups of children to identify the appeal of book covers. By analyzing visual attributes, visible objects, and implied stories inferred from the covers, we can gain insights into the elements that are most attractive to children up to 18 years old. These findings can then contribute towards advancing personalization for recommender systems for children through new means that do not rely on historical data, seldom available for this user group. ",

keywords = "children, personalization, Recommender Systems, user modeling",

author = "Yessin Beyhan and Pera, {Maria Soledad}",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023 ; Conference date: 26-06-2023 Through 30-06-2023",

year = "2023",

doi = "10.1145/3563359.3597404",

language = "English",

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

publisher = "Association for Computing Machinery (ACM)",

pages = "28--33",

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

address = "United States",

}

Beyhan, Y & Pera, MS 2023, Covering Covers: Characterization Of Visual Elements Regarding Sleeves. 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, Association for Computing Machinery (ACM), pp. 28-33, 31st ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2023, Limassol, Cyprus, 26/06/23. https://doi.org/10.1145/3563359.3597404

Covering Covers: Characterization Of Visual Elements Regarding Sleeves. / Beyhan, Yessin; Pera, Maria Soledad.
UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM), 2023. p. 28-33 (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Covering Covers

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

AU - Beyhan, Yessin

AU - Pera, Maria Soledad

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2023

Y1 - 2023

N2 - The aim of this work is to explore common traits preferred across different age groups of children to identify the appeal of book covers. By analyzing visual attributes, visible objects, and implied stories inferred from the covers, we can gain insights into the elements that are most attractive to children up to 18 years old. These findings can then contribute towards advancing personalization for recommender systems for children through new means that do not rely on historical data, seldom available for this user group.

AB - The aim of this work is to explore common traits preferred across different age groups of children to identify the appeal of book covers. By analyzing visual attributes, visible objects, and implied stories inferred from the covers, we can gain insights into the elements that are most attractive to children up to 18 years old. These findings can then contribute towards advancing personalization for recommender systems for children through new means that do not rely on historical data, seldom available for this user group.

KW - children

KW - personalization

KW - Recommender Systems

KW - user modeling

UR - http://www.scopus.com/inward/record.url?scp=85163760101&partnerID=8YFLogxK

U2 - 10.1145/3563359.3597404

DO - 10.1145/3563359.3597404

M3 - Conference contribution

AN - SCOPUS:85163760101

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

SP - 28

EP - 33

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

PB - Association for Computing Machinery (ACM)

Y2 - 26 June 2023 through 30 June 2023

ER -

Beyhan Y, Pera MS. Covering Covers: Characterization Of Visual Elements Regarding Sleeves. In UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization. Association for Computing Machinery (ACM). 2023. p. 28-33. (UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization). doi: 10.1145/3563359.3597404

Covering Covers: Characterization Of Visual Elements Regarding Sleeves

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this