A Prediction Recommendation Algorithm Research Toward to the Latest Published Article

DOI

10.2991/icence-16.2016.141How to use a DOI?

Keywords

information exploded, recommendation algorithm, information retrieval, data mining,machine learning

Abstract

with the development of the Internet, people have entered an era of information explosion. A good user experience system which to screen and filter massive informationcan and to show the most interesting information in front of the readers greatly save the user's time.This paper presents a new algorithm based on the latest published articles of WeChat public platform.Sort the just published articles through the analysis of the author and the articles themselves potential. Recommend the most explosive potential articles which were going to have a high reading number to 10w+ to the public.The development of recommendation system is closely related to the problems and challenges it faces. It is still a hot research topic in information retrieval, data mining and machine learning.

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  - Tao Liu
AU  - Zuo Liu
PY  - 2016/09
DA  - 2016/09
TI  - A Prediction Recommendation Algorithm Research Toward to the Latest Published Article
BT  - Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016)
PB  - Atlantis Press
SP  - 757
EP  - 762
SN  - 2352-538X
UR  - https://doi.org/10.2991/icence-16.2016.141
DO  - 10.2991/icence-16.2016.141
ID  - Liu2016/09
ER  -