The Teaching Resources Recommendation System Research Based on Java EE

Haihui Wu; Bo Song

doi:doi:10.11648/j.se.20160402.13

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The Teaching Resources Recommendation System Research Based on Java EE

Haihui Wu, Bo Song

Published in Software Engineering (Volume 4, Issue 2)

Received: 20 April 2016 Published: 21 April 2016

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Abstract

With the growing popularity of teaching resources platform construction, various forms of teaching resource materials more and more, how to provide users with intelligent recommendation of teaching resources is a key issue. This article will be introduced to the trust relationship neighbor recommended an improved algorithm recommendation algorithm, designed to ease cold start recommendation system, we recommend that affect the process of distrust. The recommendation that the improved algorithm is applied to Java EE-based teaching resource recommendation system, effectively improve the system of teaching resources recommended to the user efficiency and accuracy, improve the real-time requirements so that online learning system.

Published in	Software Engineering (Volume 4, Issue 2)
DOI	10.11648/j.se.20160402.13
Page(s)	19-26
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), 2016. Published by Science Publishing Group

Keywords

Trusts, Recommended Neighbor Algorithm, Java EE

References

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APA Style

Haihui Wu, Bo Song. (2016). The Teaching Resources Recommendation System Research Based on Java EE. Software Engineering, 4(2), 19-26. https://doi.org/10.11648/j.se.20160402.13

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ACS Style

Haihui Wu; Bo Song. The Teaching Resources Recommendation System Research Based on Java EE. Softw. Eng. 2016, 4(2), 19-26. doi: 10.11648/j.se.20160402.13

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AMA Style

Haihui Wu, Bo Song. The Teaching Resources Recommendation System Research Based on Java EE. Softw Eng. 2016;4(2):19-26. doi: 10.11648/j.se.20160402.13

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@article{10.11648/j.se.20160402.13,
  author = {Haihui Wu and Bo Song},
  title = {The Teaching Resources Recommendation System Research Based on Java EE},
  journal = {Software Engineering},
  volume = {4},
  number = {2},
  pages = {19-26},
  doi = {10.11648/j.se.20160402.13},
  url = {https://doi.org/10.11648/j.se.20160402.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.se.20160402.13},
  abstract = {With the growing popularity of teaching resources platform construction, various forms of teaching resource materials more and more, how to provide users with intelligent recommendation of teaching resources is a key issue. This article will be introduced to the trust relationship neighbor recommended an improved algorithm recommendation algorithm, designed to ease cold start recommendation system, we recommend that affect the process of distrust. The recommendation that the improved algorithm is applied to Java EE-based teaching resource recommendation system, effectively improve the system of teaching resources recommended to the user efficiency and accuracy, improve the real-time requirements so that online learning system.},
 year = {2016}
}

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TY  - JOUR
T1  - The Teaching Resources Recommendation System Research Based on Java EE
AU  - Haihui Wu
AU  - Bo Song
Y1  - 2016/04/21
PY  - 2016
N1  - https://doi.org/10.11648/j.se.20160402.13
DO  - 10.11648/j.se.20160402.13
T2  - Software Engineering
JF  - Software Engineering
JO  - Software Engineering
SP  - 19
EP  - 26
PB  - Science Publishing Group
SN  - 2376-8037
UR  - https://doi.org/10.11648/j.se.20160402.13
AB  - With the growing popularity of teaching resources platform construction, various forms of teaching resource materials more and more, how to provide users with intelligent recommendation of teaching resources is a key issue. This article will be introduced to the trust relationship neighbor recommended an improved algorithm recommendation algorithm, designed to ease cold start recommendation system, we recommend that affect the process of distrust. The recommendation that the improved algorithm is applied to Java EE-based teaching resource recommendation system, effectively improve the system of teaching resources recommended to the user efficiency and accuracy, improve the real-time requirements so that online learning system.
VL  - 4
IS  - 2
ER  -

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Author Information

Haihui Wu

College of Software, Shenyang Normal University, Liaoning Shenyang, China
Bo Song

College of Software, Shenyang Normal University, Liaoning Shenyang, China

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Plain Text BibTeX RIS

APA Style

Haihui Wu, Bo Song. (2016). The Teaching Resources Recommendation System Research Based on Java EE. Software Engineering, 4(2), 19-26. https://doi.org/10.11648/j.se.20160402.13

Copy | Download

ACS Style

Haihui Wu; Bo Song. The Teaching Resources Recommendation System Research Based on Java EE. Softw. Eng. 2016, 4(2), 19-26. doi: 10.11648/j.se.20160402.13

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AMA Style

Haihui Wu, Bo Song. The Teaching Resources Recommendation System Research Based on Java EE. Softw Eng. 2016;4(2):19-26. doi: 10.11648/j.se.20160402.13

Copy | Download

@article{10.11648/j.se.20160402.13,
  author = {Haihui Wu and Bo Song},
  title = {The Teaching Resources Recommendation System Research Based on Java EE},
  journal = {Software Engineering},
  volume = {4},
  number = {2},
  pages = {19-26},
  doi = {10.11648/j.se.20160402.13},
  url = {https://doi.org/10.11648/j.se.20160402.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.se.20160402.13},
  abstract = {With the growing popularity of teaching resources platform construction, various forms of teaching resource materials more and more, how to provide users with intelligent recommendation of teaching resources is a key issue. This article will be introduced to the trust relationship neighbor recommended an improved algorithm recommendation algorithm, designed to ease cold start recommendation system, we recommend that affect the process of distrust. The recommendation that the improved algorithm is applied to Java EE-based teaching resource recommendation system, effectively improve the system of teaching resources recommended to the user efficiency and accuracy, improve the real-time requirements so that online learning system.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - The Teaching Resources Recommendation System Research Based on Java EE
AU  - Haihui Wu
AU  - Bo Song
Y1  - 2016/04/21
PY  - 2016
N1  - https://doi.org/10.11648/j.se.20160402.13
DO  - 10.11648/j.se.20160402.13
T2  - Software Engineering
JF  - Software Engineering
JO  - Software Engineering
SP  - 19
EP  - 26
PB  - Science Publishing Group
SN  - 2376-8037
UR  - https://doi.org/10.11648/j.se.20160402.13
AB  - With the growing popularity of teaching resources platform construction, various forms of teaching resource materials more and more, how to provide users with intelligent recommendation of teaching resources is a key issue. This article will be introduced to the trust relationship neighbor recommended an improved algorithm recommendation algorithm, designed to ease cold start recommendation system, we recommend that affect the process of distrust. The recommendation that the improved algorithm is applied to Java EE-based teaching resource recommendation system, effectively improve the system of teaching resources recommended to the user efficiency and accuracy, improve the real-time requirements so that online learning system.
VL  - 4
IS  - 2
ER  -

Copy | Download