Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

Comparative Study of Internet Recommendation Strategies

Authors
Kun Li
Corresponding Author
Kun Li
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.234How to use a DOI?
Keywords
Recommendation Strategies, Traditional and Mobile Internet
Abstract
With the rise of the internet industry, basic necessities of life can now be settled by a phone or computer, an increasing number of transactions from the line into the line, Internet + has penetrated into every aspect of people's lives, people's quality of life has improved. At the same time, the Internet also generate huge amounts of data all the time, human history has never received such a large amount of data in a short time, these data hidden inside people's willingness to buy and all kinds of valuable public opinion towards information, if use of these data, we can produce more quality services.
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Proceedings
2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.234How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Kun Li
PY  - 2016/12
DA  - 2016/12
TI  - Comparative Study of Internet Recommendation Strategies
BT  - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.234
DO  - https://doi.org/10.2991/iceeecs-16.2016.234
ID  - Li2016/12
ER  -