Zobrazeno 1 - 10
of 120
pro vyhledávání: '"JITAO SANG"'
Publikováno v:
大数据, Vol 8, Pp 88-105 (2022)
The recommendation system is an important means to solve the problem of information overload in social media.To solve the problem that traditional recommendation systems cannot optimize the longterm user experience, researchers have proposed the inte
Externí odkaz:
https://doaj.org/article/4d46c40c800e4058acc547b21f2e07f8
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 53, Iss 1, Pp 89-97 (2022)
In this paper proposed was a method to solve the multi-side fairness of the recommender system from the perspective of Pareto. It eliminates the sensitive attribute information in the user embedding through the adversarial regularizer, and adopts the
Externí odkaz:
https://doaj.org/article/5d50405680774082bf87e358620727e4
Publikováno v:
大数据, Vol 2, p 2016052 (2016)
Social media variety mainly concerns with the contents created and consumed in different online social network (OSN).Analyzing cross-OSN from the perspective of “variety” is beneficial to exerting the potential of big data,by integrally analyzing
Externí odkaz:
https://doaj.org/article/d1f2785a5fb54df7a48aafd93e63c282
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Feb2024, Vol. 20 Issue 2, p1-16, 16p
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 18:1-20
This article explores the problem of image-based personality questionnaire design. Compared with the traditional text-based personality questionnaire, the image-based personality questionnaire is more natural, truthful, and language insensitive. Inst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2570242aaf543253596d8e9c5f13bfd
https://doi.org/10.1145/3503489
https://doi.org/10.1145/3503489
Autor:
Menghao Hu, Mingxuan Luo, Menghua Huang, Wenhua Meng, Baochen Xiong, Xiaoshan Yang, Jitao Sang
Publikováno v:
Multimedia Systems. 29:1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e843001d0fea66d924ee2866a6d4d41
https://doi.org/10.1007/s00530-021-00875-6
https://doi.org/10.1007/s00530-021-00875-6
Publikováno v:
Proceedings of the 30th ACM International Conference on Multimedia.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e1a52d2a083932d5d8ae5174af763b8
https://doi.org/10.1145/3503161.3548155
https://doi.org/10.1145/3503161.3548155
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Jul2023, Vol. 19 Issue 4, p1-18, 18p
Publikováno v:
Information Sciences. :119171
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fde58135c5f410db41b019dbe6afcf2
https://doi.org/10.1016/j.ins.2023.119171
https://doi.org/10.1016/j.ins.2023.119171
Autor:
Jiaming Zhang, Kaiyuan Xu, Jitao Sang, Xian Zhao, Yanfeng Sun, Yongli Hu, Jian Yu, Shangxi Wu
Publikováno v:
IEEE Transactions on Multimedia. 23:2575-2587
Turing test was originally proposed to examine whether machine's behavior is indistinguishable from a human. The most popular and practical Turing test is CAPTCHA, which is to discriminate algorithm from human by offering recognition-alike questions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3818c525d24f48266a80a573e9fa02a6
https://doi.org/10.1109/tmm.2020.3013376
https://doi.org/10.1109/tmm.2020.3013376