Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Duen-Ren Liu"'
Publikováno v:
IEEE Access, Vol 8, Pp 190934-190945 (2020)
Online review websites provide an open platform for users to write reviews or give ratings on items (business services) as well as share their consumption experience. However, the volume of reviews is large, while the rating scores provide users with
Externí odkaz:
https://doaj.org/article/97934fb78d6943f6a5bdfbc51ab40dbd
Autor:
Shin-Jye Lee, Ching-Hsun Tseng, Hui-Yu Yang, Xin Jin, Qian Jiang, Bin Pu, Wei-Huan Hu, Duen-Ren Liu, Yang Huang, Na Zhao
Publikováno v:
Entropy, Vol 24, Iss 5, p 617 (2022)
In the era of bathing in big data, it is common to see enormous amounts of data generated daily. As for the medical industry, not only could we collect a large amount of data, but also see each data set with a great number of features. When the numbe
Externí odkaz:
https://doaj.org/article/fe3db52f42084bd590827abfe9163bea
Publikováno v:
The Scientific World Journal, Vol 2015 (2015)
Virtual worlds (VWs) are computer-simulated environments which allow users to create their own virtual character as an avatar. With the rapidly growing user volume in VWs, platform providers launch virtual goods in haste and stampede users to increas
Externí odkaz:
https://doaj.org/article/63205dc52f6a4b91aa47330856430e3a
Publikováno v:
Data Technologies and Applications.
PurposeOnline news websites provide huge amounts of timely news, bringing the challenge of recommending personalized news articles. Generative adversarial networks (GAN) based on collaborative filtering (CFGAN) can achieve effective recommendation qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c1c935ddf095b0a17c02fa3e8eab5dc
https://doi.org/10.1108/dta-08-2022-0315
https://doi.org/10.1108/dta-08-2022-0315
Publikováno v:
Journal of Information Science & Engineering; Nov2023, Vol. 39 Issue 6, p1437-1457, 21p
Publikováno v:
Information Processing & Management. 60:103357
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea5f593a4332fec8741781aad3d071d5
https://doi.org/10.1016/j.ipm.2023.103357
https://doi.org/10.1016/j.ipm.2023.103357
Publikováno v:
International Journal of Machine Learning and Cybernetics. 12:1203-1217
With the rapid development of the internet, users tend to refer to the rating scores or review opinions on social platforms. Most recommendation systems use collaborative filtering (CF) methods to recommend items based on users’ ratings. The rating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81345471652e459d313028e9d746832a
https://doi.org/10.1007/s13042-020-01229-w
https://doi.org/10.1007/s13042-020-01229-w
Publikováno v:
Kybernetes. 49:2633-2649
PurposeOnline news websites provide diverse article topics, such as fashion news, entertainment and movie information, to attract more users and create more benefits. Recommending movie information to users reading news online can enhance the impress
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9006208b8b78d068ad4e1af975941d0
https://doi.org/10.1108/k-08-2019-0578
https://doi.org/10.1108/k-08-2019-0578
Publikováno v:
Industrial Management & Data Systems. 119:1802-1818
Purpose Providing online news recommendations to users has become an important trend for online media platforms, enabling them to attract more users. The purpose of this paper is to propose an online news recommendation system for recommending news a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65bcd683858a3cb4e8d2f5498f802499
https://doi.org/10.1108/imds-04-2019-0251
https://doi.org/10.1108/imds-04-2019-0251
Publikováno v:
Kybernetes. 48:1586-1605
Purpose Online advertisement brings huge revenue to many websites. There are many types of online advertisement; this paper aims to focus on the online banner ads which are usually placed in a particular news website. The investigated news website ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91607189f1f92e991928062bd3d30eb3
https://doi.org/10.1108/k-05-2018-0216
https://doi.org/10.1108/k-05-2018-0216