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author:

Li, Zhenghao (Li, Zhenghao.) [1] | Chen, Jiarui (Chen, Jiarui.) [2] (Scholars:陈家瑞) | Chen, Xing (Chen, Xing.) [3] (Scholars:陈星)

Indexed by:

EI Scopus

Abstract:

Nowadays, people install more and more applications on their mobile phones to facilitate their daily life. This satisfies people's needs, but it also makes it hard for people to find the applications they want. In order to let users quickly find the application they want and achieve their goals. This paper proposes an APP service recommendation method based on the user's current scenario. Specifically, we first extract information from the user's current scenario. Based on this information, we then search the service library for services related to it. Finally, we recommend the selected service to the user. © 2019 IEEE.

Keyword:

Big data Cloud computing Social networking (online)

Community:

  • [ 1 ] [Li, Zhenghao]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
  • [ 2 ] [Li, Zhenghao]Fujian Key Laboratory of Network Computing, Intelligent Information Processing, Fuzhou, China
  • [ 3 ] [Chen, Jiarui]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
  • [ 4 ] [Chen, Jiarui]Fujian Key Laboratory of Network Computing, Intelligent Information Processing, Fuzhou, China
  • [ 5 ] [Chen, Xing]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
  • [ 6 ] [Chen, Xing]Fujian Key Laboratory of Network Computing, Intelligent Information Processing, Fuzhou, China

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Source :

Year: 2019

Page: 1530-1531

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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