Network-Based Inference Algorithm on Hadoop
Network-Based Inference Algorithm on Hadoop
复制标题
Hadoop 上基于网络的推理算法
DOI:
10.1007/978-3-642-34624-8_42
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发表时间:
2012-12
期刊:
影响因子:
--
通讯作者:
Shimin Cai
中科院分区:
文献类型:
--
作者:
Zhen Tang;Qingxian Wang;Shimin Cai
Network-based inference (NBI) algorithm is a new but effective personalized recommendation algorithm based on bipartite networks, and it performs better than global ranking method (GRM) and collaborative filtering (CF).However, the complexity of NBI is high thus hinder NBI’s use in large scale system. In this paper, we implement NBI algorithm on a cloud computing platform, namely Hadoop, to solve its scalability problem. We use MapReduce model to distribute the NBI algorithm into serial parallel MapReduce jobs, and implement them in parallel on Hadoop platform. Through performing extensive experiments on the data sets of Netflix, the result shows that the NBI algorithm can scale well and process large datasets on commodity hardware effectively.
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DOI:
10.7551/mitpress/7503.003.0040
发表时间:
2007
期刊:
--
影响因子:
--
作者:
B. Scholkopf;J. Platt;T. Hofmann
通讯作者:
B. Scholkopf;J. Platt;T. Hofmann
DOI:
10.1145/1294261.1294281
发表时间:
2007-10
期刊:
EAI Endorsed Trans. Scalable Inf. Syst.
影响因子:
--
作者:
Giuseppe DeCandia;D. Hastorun;M. Jampani;G. Kakulapati;A. Lakshman;A. Pilchin;S. Sivasubramanian
通讯作者:
Giuseppe DeCandia;D. Hastorun;M. Jampani;G. Kakulapati;A. Lakshman;A. Pilchin;S. Sivasubramanian
DOI:
--
发表时间:
2007
期刊:
--
影响因子:
--
作者:
J. Dean;Sanjay Ghemawat
通讯作者:
J. Dean;Sanjay Ghemawat
DOI:
--
发表时间:
2003
期刊:
IEEE Distributed Syst. Online
影响因子:
--
作者:
G. Linden;Brent Smith;J. York
通讯作者:
G. Linden;Brent Smith;J. York
影响因子:
3.2
作者:
M. Dikaiakos;Dimitrios Katsaros;P. Mehra;G. Pallis;A. Vakali
通讯作者:
M. Dikaiakos;Dimitrios Katsaros;P. Mehra;G. Pallis;A. Vakali