Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Zongchao Hu"'
Publikováno v:
IEEE Access, Vol 8, Pp 209483-209494 (2020)
Due to the number of users and items increasing sharply, data sparsity has become an extremely serious problem for recommendation systems. Social relations consist of complex and rich information, which have a good alleviation effect on sparsity prob
Externí odkaz:
https://doaj.org/article/53cbc78542894ed382181c5c5d1dd55d
Publikováno v:
ISMSI
In this paper, based on the heterogeneous information network, we propose a cross-domain recommendation model by integrating adversarial learning (Cross-Domain Recommendation based on Heterogeneous information network with Adversarial learning, CDR-H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::080407fee5192b0b29d1acc20b8f8a3e
https://doi.org/10.1145/3461598.3461609
https://doi.org/10.1145/3461598.3461609
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-26 (2022)
Abstract The traditional Grey Wolf Optimization algorithm (GWO) has received widespread attention due to features of strong convergence performance, few parameters, and easy implementation. However, in actual optimization projects, there are problems
Externí odkaz:
https://doaj.org/article/a3f19660fe7149599a8f5813f3a1045a