Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Shenbao Yu"'
Publikováno v:
IEEE Access, Vol 9, Pp 90475-90487 (2021)
Team composition is one of the most important and challenging directions in the recommendation problem. Compared with a single person, the advantage of a team is mainly reflected in the synergy of team members’ complementary collaboration. To build
Externí odkaz:
https://doaj.org/article/cc388acda39c4dfdb7f1eb35c0a46efb
Publikováno v:
Information Sciences. 632:340-357
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5828d7bac43df457da8bde74c0eb84b5
https://doi.org/10.1016/j.ins.2023.03.018
https://doi.org/10.1016/j.ins.2023.03.018
Publikováno v:
Applied Intelligence. 53:13506-13526
The process of team composition in multiplayer sports such as football has been a main area of interest within the field of the science of teamwork, which is important for improving competition results and game experience. Recent algorithms for the f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc28408fc986369e6835d718edfbb5cd
https://doi.org/10.1007/s10489-022-04199-4
https://doi.org/10.1007/s10489-022-04199-4
Publikováno v:
IEEE Access, Vol 9, Pp 90475-90487 (2021)
Team composition is one of the most important and challenging directions in the recommendation problem. Compared with a single person, the advantage of a team is mainly reflected in the synergy of team members’ complementary collaboration. To build
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad00e14efcbaa35ea5bc4ecacf43ee79
https://ieeexplore.ieee.org/document/9461759/
https://ieeexplore.ieee.org/document/9461759/
Publikováno v:
ICCSE
Layout analysis, which aims to detect and categorize areas of interest on document images, is an increasingly important part in document image processing. Existing researches have conducted layout analysis on various documents, but none has been prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fd6a0411c405392056fe7a0352cbb44
https://doi.org/10.1109/iccse51940.2021.9569699
https://doi.org/10.1109/iccse51940.2021.9569699
Publikováno v:
ICCSE
We investigate the problem of user preferences changing over time for a collaborative rating prediction recommendation system. The rating data of a time-aware collaborative recommendation can be represented as a 3rd order tensor, each of which denote
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffc09145e30e2d6793bc2d4d6546caa8
https://doi.org/10.1109/iccse49874.2020.9201809
https://doi.org/10.1109/iccse49874.2020.9201809
Publikováno v:
Expert Systems with Applications. 79:225-235
Point-of-interest (POI) recommender system encourages users to share their locations and social experience through check-ins in online location-based social networks. A most recent algorithm for POI recommendation takes into account both the location
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8deab1e97aa509f196960a3628d1bbab
https://doi.org/10.1016/j.eswa.2017.01.037
https://doi.org/10.1016/j.eswa.2017.01.037