Research and Application of Collaborative Filtering Algorithm Based on Hadoop

DOI

10.2991/cimns-16.2016.70How to use a DOI?

Keywords

data is sparse; cloud computing; collaborative filtering recommendation algorithm

Abstract

In order to solve the user rating data about data sparseness and traditional similarity calculation method because of its disadvantages of strict match object attributes, combined with the project classification and cloud computing platform is put forward an improved collaborative filtering recommendation algorithm. The experimental results show that the algorithm not only effectively solve the data sparse and the insufficiency of traditional similarity method, but also improved the user's interests and the accuracy of the nearest neighbor search; At the same time, the algorithm only need to calculate where new users or categories, greatly enhance the scalability of the system.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ailing Duan
AU  - Zhixia Xu
AU  - Qiongbo Duan
PY  - 2016/09
DA  - 2016/09
TI  - Research and Application of Collaborative Filtering Algorithm Based on Hadoop
BT  - Proceedings of the 2016 International Conference on Communications, Information Management and Network Security
PB  - Atlantis Press
SP  - 279
EP  - 282
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-16.2016.70
DO  - 10.2991/cimns-16.2016.70
ID  - Duan2016/09
ER  -