Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Hongyun Cai"'
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9363-9375 (2022)
Directly publishing the original data of social networks may compromise personal privacy because social relationship data contain sensitive information about users. To protect the social relationships against inference attacks and achieve the trade-o
Externí odkaz:
https://doaj.org/article/81c5f64c8d2341a29619cff2ac5fba95
Publikováno v:
Friction, Vol 11, Iss 7, Pp 1150-1164 (2022)
Abstract Hydrophilic polymer coatings on artificial implants generate excellent tribological properties. The friction properties of polymer coatings are affected by salt ion factors. Herein, the atomic force microscopy (AFM) was used to show that the
Externí odkaz:
https://doaj.org/article/6ad8ac7ff2654fc18db9be2b1546cbd8
Publikováno v:
IEEE Access, Vol 7, Pp 139668-139677 (2019)
With the development of social networks, the research of integrated social information recommendation models has received extensive attention. However, most existing social recommendation models are based on the matrix factorization technique which i
Externí odkaz:
https://doaj.org/article/8576c41a63ed4b2a82b604946c6fba79
Publikováno v:
Academic Journal of Management and Social Sciences. 2:134-145
Tourism efficiency is crucial for measuring sustainable tourism development. Examining the relationship between aviation and tourism efficiency networks is key to promoting their synergistic development in China's urban areas. This study employs vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1e06902bd5500610ac44d1a8d347d25
https://doi.org/10.54097/ajmss.v2i1.6504
https://doi.org/10.54097/ajmss.v2i1.6504
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-15
Sequential recommendation can make predictions by fitting users’ changing interests based on the users’ continuous historical behavior sequences. Currently, many existing sequential recommendation methods put more emphasis upon users’ recent pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e69dcd004d9b3e1c7e77e2c9313d5e51
https://doi.org/10.1155/2022/4612169
https://doi.org/10.1155/2022/4612169
Autor:
Fuzhi Zhang, Hongyun Cai
Publikováno v:
Security and Communication Networks, Vol 2021 (2021)
To protect recommender systems against shilling attacks, a variety of detection methods have been proposed over the past decade. However, these methods focus mainly on individual features and rarely consider the lockstep behaviours among attack users
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d870d8586b369c216104815f33bcb38
https://doi.org/10.1155/2021/2907691
https://doi.org/10.1155/2021/2907691
Publikováno v:
Asian Journal of Organic Chemistry. 10:2670-2674
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14bac5cf57bf475ede82a99f759acb19
https://doi.org/10.1002/ajoc.202100568
https://doi.org/10.1002/ajoc.202100568
BS-SC: An Unsupervised Approach for Detecting Shilling Profiles in Collaborative Recommender Systems
Autor:
Fuzhi Zhang, Hongyun Cai
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 33:1375-1388
Collaborative recommender systems are vulnerable to shilling attacks. To address this issue, many methods including supervised and unsupervised have been proposed. However, supervised detection methods require training classifiers and they only apply
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b4e6c5a4a57a75c7888522150096bd2
https://doi.org/10.1109/tkde.2019.2946247
https://doi.org/10.1109/tkde.2019.2946247
Publikováno v:
Asian Journal of Organic Chemistry. 10:827-830
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e91a01c1632963b90acfb3b4a5d0678
https://doi.org/10.1002/ajoc.202100039
https://doi.org/10.1002/ajoc.202100039
Autor:
Caixia Zhang, Zhifeng Liu, Qiang Cheng, Liran Ma, Hongyun Cai, Junmin Chen, Hongyan Chu, Mengmeng Liu
Publikováno v:
Friction. 10:179-199
Sum-frequency generation (SFG) vibrational spectroscopy is a second-order nonlinear optical spectroscopy technique. Owing to its interfacial selectivity, SFG vibrational spectroscopy can provide interfacial molecular information, such as molecular or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::896e3195a35da58896ed06452ff4a4d9
https://doi.org/10.1007/s40544-020-0474-0
https://doi.org/10.1007/s40544-020-0474-0