Eisbach, Simon; Daugs, Fabian; Thielsch, Meinald T.; Böhmer, Matthias; Hertel, Guido:
Predicting Rating Distributions of Website Aesthetics with Deep Learning for AI-Based Research
In: Transactions on Computer-Human Interaction / ACM Association for Computing Machinery (Eds.). , Vol. 30, No. 3, Article 37
2023-06-10Essay / Article in JournalOA Hybrid
Faculty of Computer Science and Engineering Science » Cologne Institute for Digital Ecosystems
Related: 1 publication(s)
Title:
Predicting Rating Distributions of Website Aesthetics with Deep Learning for AI-Based Research
Author:
Eisbach, Simon
ORCID
0000-0001-8870-6646ORCID iD
;Daugs, Fabian
ORCID
0000-0002-8156-024XORCID iD
;Thielsch, Meinald T.
ORCID
0000-0001-8493-9071ORCID iD
;Böhmer, MatthiasTH Köln
DHSB-ID
THK0002735
ORCID
0000-0001-8402-4859ORCID iD
SCOPUS
26867475300
Other
person connected with TH Köln
;Hertel, Guido
ORCID
0000-0002-7754-2786ORCID iD
Date published:
2023-06-10
„Publication Channel“:
OA Hybrid
Extent:
28 Seiten
DOI
10.1145/3569889
WWW URL:
https://dl.acm.org/doi/pdf/10.1145/3569889
Language of text:
English
Appears in
Transactions on Computer-Human Interaction
Title (abbreviated):
ACM Trans. Comput.-Hum. Interact.
Editor:
ACM Association for Computing Machinery
Place of publication:
New York, NY
Publisher:
Association for Computing Machinery (ACM)
in:
Vol. 30, No. 3, Article 37
ISSN
1073-0516 Show availability online & print
ISSN
1557-7325 Show availability online & print
ZDB ID
2006332-5
ZDB ID
1195284-2
Note:
OA Hybrid
Type of resource:
Text
Peer Reviewed:
Peer Reviewed
Category:
Research
Part of statistic:
Not part of statistic
Keyword, Topic:
Deep Learning, Aesthetics Prediction, Website Aesthetics
Type of resource:
Text
Access Rights:
open access
Peer Reviewed:
Peer Reviewed
Practice Partner:
No
Category:
Research
Part of statistic:
Part of statistic