A healthy and reliable rating profile expansion approach to address data sparsity in food recommendation systems
Approved
Classifications
MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal
Publication channel information
Title of journal/series
Knowledge and information systems
ISSN (print)
0219-1377
ISSN (electronic)
0219-3116
ISSN (linking)
0219-3116
Publisher
Springer
Publication forum ID
62287
Publication forum level
2
Country of publication
United Kingdom
Internationality
Yes
Detailed publication information
Publication year
2025
Bibliographical publication year
2025
Reporting year
2025
Journal/series volume number
67
Page numbers
3699–3735
DOI
10.1007/s10115-024-02331-z
Language of publication
English
Co-publication information
International co-publication
Yes
Co-publication with a company
No
Availability
Link to online publication
Link to self-archived version
Classification and additional information
MinEdu field of science classification
113 Computer and information sciences
Keywords
Food recommendation system; Reliability; Health; Data sparsity; Community detection
Funding information
Funding information in the publication
Open Access funding enabled and organized by Projekt DEAL. This research is connected to the DigiHealth-project, a strategic profiling project at the University of Oulu. The project is supported by the Academy of Finland (project number 326291) and the University of Oulu Academy of Finland Profi5 on DigiHealth. In addition, SA is supported by the Kermanshah University of Technology, Iran, under grant number S/P/F/5.
Funders
Funder
Research Council of Finland (former Academy of Finland)
Name of funding
-
Funding decision
-
Research data information
Research data information in the publication
The datasets used in this study can be available on reasonable requests.
Source database ID
WoS ID
WOS:001400797000001
Scopus ID
2-s2.0-85217366077