Understanding the users' interest is the base for the industralization of website. In order to provide individualized service better for the users, on the basis of analyzing the users' browse behavioral characteristics and according to the users' retention time in the page, and users' click frequency to the hyperlink and page, a model of computer user interest degree is established, and a neutral network is proposed to describe their correlation, and the reasonableness and effectiveness of this model are verified through experiment. The experiemtn result shows aathat this model can accurately find out the page that the users are interested in.
| Published in |
International Journal of Intelligent Information Systems (Volume 4, Issue 2-2)
This article belongs to the Special Issue Content-based Image Retrieval and Machine Learning |
| DOI | 10.11648/j.ijiis.s.2015040202.12 |
| Page(s) | 5-8 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Individualization, User Browse Behavior, User Interest Degree, RBF Network
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APA Style
Zhu Jinghua. (2015). A User Interest Model Based on the Analysis of User Behaviors. International Journal of Intelligent Information Systems, 4(2-2), 5-8. https://doi.org/10.11648/j.ijiis.s.2015040202.12
ACS Style
Zhu Jinghua. A User Interest Model Based on the Analysis of User Behaviors. Int. J. Intell. Inf. Syst. 2015, 4(2-2), 5-8. doi: 10.11648/j.ijiis.s.2015040202.12
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Download@article{10.11648/j.ijiis.s.2015040202.12,
author = {Zhu Jinghua},
title = {A User Interest Model Based on the Analysis of User Behaviors},
journal = {International Journal of Intelligent Information Systems},
volume = {4},
number = {2-2},
pages = {5-8},
doi = {10.11648/j.ijiis.s.2015040202.12},
url = {https://doi.org/10.11648/j.ijiis.s.2015040202.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.s.2015040202.12},
abstract = {Understanding the users' interest is the base for the industralization of website. In order to provide individualized service better for the users, on the basis of analyzing the users' browse behavioral characteristics and according to the users' retention time in the page, and users' click frequency to the hyperlink and page, a model of computer user interest degree is established, and a neutral network is proposed to describe their correlation, and the reasonableness and effectiveness of this model are verified through experiment. The experiemtn result shows aathat this model can accurately find out the page that the users are interested in.},
year = {2015}
}
TY - JOUR T1 - A User Interest Model Based on the Analysis of User Behaviors AU - Zhu Jinghua Y1 - 2015/02/13 PY - 2015 N1 - https://doi.org/10.11648/j.ijiis.s.2015040202.12 DO - 10.11648/j.ijiis.s.2015040202.12 T2 - International Journal of Intelligent Information Systems JF - International Journal of Intelligent Information Systems JO - International Journal of Intelligent Information Systems SP - 5 EP - 8 PB - Science Publishing Group SN - 2328-7683 UR - https://doi.org/10.11648/j.ijiis.s.2015040202.12 AB - Understanding the users' interest is the base for the industralization of website. In order to provide individualized service better for the users, on the basis of analyzing the users' browse behavioral characteristics and according to the users' retention time in the page, and users' click frequency to the hyperlink and page, a model of computer user interest degree is established, and a neutral network is proposed to describe their correlation, and the reasonableness and effectiveness of this model are verified through experiment. The experiemtn result shows aathat this model can accurately find out the page that the users are interested in. VL - 4 IS - 2-2 ER -
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