Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering

Collaborative Filtering Algorithm Based on Social Network Information Flow Model

Authors
Mingwei Sun, Qiang Liu, Enyang Gao
Corresponding Author
Mingwei Sun
Available Online July 2016.
DOI
10.2991/icsnce-16.2016.119How to use a DOI?
Keywords
Communication technology; Collaborative filtering; Multidimensional half; Semi markov process
Abstract

In order to improve the accuracy of personalized recommendation technology, the state space of multidimensional semi markov process definition "empty state " has been extended to multidimensional markov process, combining with the social network analysis theory and social network information flow model. The model describes the process flow of information in members of the network society. Then, based on social network information flow model, collaborative filtering is put forward to SMRR. By comprehensive considering user's preferences and clubs, the influence of network of other members SMRR prediction accuracy is significantly higher than the original algorithm.

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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Volume Title
Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
978-94-6252-217-6
ISSN
2352-5401
DOI
10.2991/icsnce-16.2016.119How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Mingwei Sun
AU  - Qiang Liu
AU  - Enyang Gao
PY  - 2016/07
DA  - 2016/07
TI  - Collaborative Filtering Algorithm Based on Social Network Information Flow Model
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 614
EP  - 617
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.119
DO  - 10.2991/icsnce-16.2016.119
ID  - Sun2016/07
ER  -