Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Sule Gunduz Oguducu"'
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 24, Iss 6, Pp 1467-1477 (2021)
In this paper, we propose a multi-objective learning approach for online recruiting. Online recruiting and online dating are the most known reciprocal recommendation problems. However, the reciprocal recommendation has gained little attention in the
Externí odkaz:
https://doaj.org/article/b92705632d514a71aa3b17bd62045310
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 24, Iss 6, Pp 1467-1477 (2021)
In this paper, we propose a multi-objective learning approach for online recruiting. Online recruiting and online dating are the most known reciprocal recommendation problems. However, the reciprocal recommendation has gained little attention in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e662a93b22dda215356b916ba7d6fdb
https://doi.org/10.1016/j.jestch.2021.03.010
https://doi.org/10.1016/j.jestch.2021.03.010
Autor:
Cagri Karahan, Sule Gunduz Oguducu
Publikováno v:
2022 International Conference on Data Science and Its Applications (ICoDSA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7241008f53878cc1e502c41e27bf50fe
https://doi.org/10.1109/icodsa55874.2022.9862934
https://doi.org/10.1109/icodsa55874.2022.9862934
Autor:
Zeynep Zengin Alp, Sule Gunduz Oguducu
Publikováno v:
Knowledge-Based Systems. 163:944-954
Prevalent usage of social media attracted companies and researchers to analyze its dynamics and effects on user behavior. One of the most intriguing aspects of social networks is to identify influencers who are experts on a specific topic. With the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2395046aabd22959f792dc544f1fddf0
https://doi.org/10.1016/j.knosys.2018.10.020
https://doi.org/10.1016/j.knosys.2018.10.020
Autor:
Alper Ozcan, Sule Gunduz Oguducu
Publikováno v:
International Journal of Information Technology & Decision Making. 18:241-286
Link prediction is considered as one of the key tasks in various data mining applications for recommendation systems, bioinformatics, security and worldwide web. The majority of previous works in link prediction mainly focus on the homogeneous networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56be1c77b10edfc2c230b221922e6d51
https://doi.org/10.1142/s0219622018500530
https://doi.org/10.1142/s0219622018500530
Autor:
Irem Islek, Sule Gunduz Oguducu
Publikováno v:
Electronic Commerce Research and Applications. 52:101131
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::883a5cbf2390d5a74427f771572fbcaa
https://doi.org/10.1016/j.elerap.2022.101131
https://doi.org/10.1016/j.elerap.2022.101131
Publikováno v:
SIU
With the spread of e-commerce platforms in recent years, recommendation systems have become quite popular. Traditional recommendation systems are mostly based on useritem interactions. However, recommendation systems which are based on only user-item
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::530ba94388cc9cc565c041b8703f7221
https://doi.org/10.1109/siu49456.2020.9302193
https://doi.org/10.1109/siu49456.2020.9302193
Autor:
Sule Gunduz Oguducu, Kiymet Kaya
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Growing metropolitan areas bring rapid urbanization and air pollution problems. As diseases and mortality rates increase because of the air pollution problem, it becomes a necessity to estimate the air pollution density and inform the public to prote
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40c37e7dc3c901099a757fa9dedbfb1b
https://doi.org/10.1038/s41598-020-60102-6
https://doi.org/10.1038/s41598-020-60102-6
Publikováno v:
New Frontiers in Mining Complex Patterns ISBN: 9783030488604
NFMCP@PKDD/ECML
NFMCP@PKDD/ECML
In recent years, deep learning has gained an indisputable success in computer vision, speech recognition, and natural language processing. After its rising success on these challenging areas, it has been studied on recommender systems as well, but mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6934fbfd0a144e437e48aeebad8c9d0f
https://doi.org/10.1007/978-3-030-48861-1_4
https://doi.org/10.1007/978-3-030-48861-1_4
Autor:
Resul Tugay, Sule Gunduz Oguducu
Publikováno v:
DATA
Supply and demand are two fundamental concepts of sellers and customers. Predicting demand accurately is critical for organizations in order to be able to make plans. In this paper, we propose a new approach for demand prediction on an e-commerce web
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74ef920f9d92c1bdd2c03a8d25446081