A novel APP recommendation method based on SVD and social influence

Liu, Xiao, Wang, Q, Zhang, S, Jiang, Y, Du, F, Yue, Y and Liang, Y 2015, A novel APP recommendation method based on SVD and social influence, in ICA3PP 2015 : Proceedings of the 15th International Conference on Algorithms and Architectures for Parallel Processing, Springer, Berlin, Germany, pp. 269-281, doi: 10.1007/978-3-319-27122-4_19.

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Title A novel APP recommendation method based on SVD and social influence
Author(s) Liu, XiaoORCID iD for Liu, Xiao orcid.org/0000-0001-8400-5754
Wang, Q
Zhang, S
Jiang, Y
Du, F
Yue, Y
Liang, Y
Conference location Zhangjiajie, China
Conference dates 2015/11/18 - 2015/11/20
Title of proceedings ICA3PP 2015 : Proceedings of the 15th International Conference on Algorithms and Architectures for Parallel Processing
Editor(s) Wang, G
Zomaya, A
Perez, GM
Li, K
Publication date 2015-12-16
Series Lecture notes in computer science
Start page 269
End page 281
Total pages 13
Publisher Springer
Place of publication Berlin, Germany
Keyword(s) recommendation
social network
mobile applications
SVD
Summary In order to satisfy requirements of real-time processing and large capacity put forwarded by big data, hybrid storage has become a trend. There’s asymmetric read/write performance for storage devices, and asymmetric read/write access characteristics for data. Data may obtain different access performance on the same device due to access characteristics waving, and the most suitable device of data may also change at different time points. As data prefer to reside on device on which they can obtain higher access performance, this paper distributes data on device with highest preference degree to improve performance and efficiency of whole storage system. A Preference-Aware HDFS (PAHDFS) with high efficiency and scalability is implemented. PAHDFS shows good performance in experiments.
ISBN 9783319271224
ISSN 0302-9743
Language eng
DOI 10.1007/978-3-319-27122-4_19
Field of Research 080201 Analysis of Algorithms and Complexity
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2015, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30082665

Document type: Conference Paper
Collection: School of Information Technology
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