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A novel APP recommendation method based on SVD and social influence

Wang, Qiudang, Liu, Xiao, Zhang, Shasha, Jiang, Yuanchun, Du, Fei, Yue, Yading and Liang, Yu 2015, A novel APP recommendation method based on SVD and social influence, in Algorithms and architectures for parallel processing : 15th international conference, ICA3PP 2015, Zhangjiahjie, China, November 18-20, 2015 proceedings, part II, Springer,, 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) Wang, Qiudang
Liu, XiaoORCID iD for Liu, Xiao orcid.org/0000-0002-4151-8522
Zhang, Shasha
Jiang, Yuanchun
Du, Fei
Yue, Yading
Liang, Yu
Conference location Berlin, Germany
Conference dates 16 Dec 2015
Title of proceedings Algorithms and architectures for parallel processing : 15th international conference, ICA3PP 2015, Zhangjiahjie, China, November 18-20, 2015 proceedings, part II
Editor(s) Wang, Guojun
Zomaya, Albert
Perez, Gregorio Martinez
Li, Kenli
Publication date 2015
Series Lecture notes in computer science
Start page 269
End page 281
Total pages 13
Publisher Springer
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
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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