Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Qianchen Xia"'
Publikováno v:
Entropy, Vol 22, Iss 6, p 643 (2020)
With the development of online advertising technology, the accurate targeted advertising based on user preferences is obviously more suitable both for the market and users. The amount of conversion can be properly increased by predicting the user’s
Externí odkaz:
https://doaj.org/article/5066995006e8478f88bfb0441bf06248
Autor:
Bowen Ji, Xuanqi Wang, Zekai Liang, Haoyang Zhang, Qianchen Xia, Liang Xie, Huijiong Yan, Fanqi Sun, Huicheng Feng, Kai Tao, Qiang Shen, Erwei Yin
Publikováno v:
International Journal of Human–Computer Interaction. :1-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d9da4fe0cc218a16137468676f2a849
https://doi.org/10.1080/10447318.2023.2212232
https://doi.org/10.1080/10447318.2023.2212232
Publikováno v:
Proceedings of the 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d34afaffa5f04f73517dd72827b6876
https://doi.org/10.1145/3574131.3574457
https://doi.org/10.1145/3574131.3574457
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030923099
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::294cbc55d45bae2ca88b123c096d392d
https://doi.org/10.1007/978-3-030-92310-5_20
https://doi.org/10.1007/978-3-030-92310-5_20
Publikováno v:
Entropy, Vol 22, Iss 643, p 643 (2020)
Entropy
Volume 22
Issue 6
Entropy
Volume 22
Issue 6
With the development of online advertising technology, the accurate targeted advertising based on user preferences is obviously more suitable both for the market and users. The amount of conversion can be properly increased by predicting the user&rsq
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54be122b63110557b3cf1d3e70812b81
https://www.mdpi.com/1099-4300/22/6/643
https://www.mdpi.com/1099-4300/22/6/643
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
There has been an exponential growth in the variety of information and it is significantly that users’ accurate information is demanded on cloud storage. Actually retrieval the exact data is incompatible for the low effectiveness and most of the me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d2ccfd51c619d1569c3a8e93a35a99d
https://doi.org/10.1007/s12652-020-01897-0
https://doi.org/10.1007/s12652-020-01897-0
Publikováno v:
2018 IEEE International Conference of Safety Produce Informatization (IICSPI).
According to authoritative statistics, more than 70% of errors found in software testing are caused by requirements or architectural design [1]. Therefore, the modeling and verification of the application front-end design can help improve the develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91974eef406108e167c64f9eb642d745
https://doi.org/10.1109/iicspi.2018.8690506
https://doi.org/10.1109/iicspi.2018.8690506
Publikováno v:
2018 Chinese Automation Congress (CAC).
As data grows in amount, the researchers focus on the multiple condition query problem in cloud store data. The traditional index structures which are used in the relationship database. They have defects in maintenance and query efficiency in the clo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c2166bbfcb7e12145a6d56b99b84586
https://doi.org/10.1109/cac.2018.8623541
https://doi.org/10.1109/cac.2018.8623541
Publikováno v:
2018 International Computers, Signals and Systems Conference (ICOMSSC).
In order to meet the performance requirements and reduce resource consumption, researchers have proposed many autoscaling schemes. However, most of them only considered current states of the servers or application that limits the applicability of aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c32c09c7078bc6da0f7e1b61525ef0da
https://doi.org/10.1109/icomssc45026.2018.8941957
https://doi.org/10.1109/icomssc45026.2018.8941957
Publikováno v:
CyberC
Web page keyword extraction is widely used in web text classification, text clustering, and information retrieval. However, the keyword extraction of the Chinese web page still need be improved and applied, especially in the medical field. This paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a6744a6113377b0f85326b90e76ccf1
https://doi.org/10.1109/cyberc.2017.40
https://doi.org/10.1109/cyberc.2017.40