Volume 4, Issue 2, March 2016, Pages: 19-26
Received: Apr. 20, 2016;
Published: Apr. 21, 2016
Views 3194 Downloads 97
Haihui Wu, College of Software, Shenyang Normal University, Liaoning Shenyang, China
Bo Song, College of Software, Shenyang Normal University, Liaoning Shenyang, China
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.
The Teaching Resources Recommendation System Research Based on Java EE, Software Engineering.
Vol. 4, No. 2,
2016, pp. 19-26.
Z. Chi, C. Gang, H. M. Wang, The recommended model based on hybrid recommendation technology, [J], Computer Engineering, 2010, pp. 248-253.
L. N. Yang, K. C. Liu, H. M. Wang, Learning resources personalized recommendation research oriented to virtual learning community, [J], Electrochemical education research, 2011, pp. 67-71.
Robert Armstrong, Dayne Freitag, Thorsten Joachims, etc. WebWatcher: A Learning Apprentice for the World Wide Web, [J], In Working Notes of the AAAI Spring Symposium: Information Gathering form Heterogeneous, Distributed Environments, 1995, pp. 6-12.
JCP Expert Group. JSR-244 (Java EE. O) [S/OL]. http://jcp.org/en/jsr/detail?id=244.
T. C. Wang, The design and implementation of online examination system based on Java EE, [D], South China University of Technology, 2014(5), pp. 6-8.
G. Li, Classic Java EE enterprise application of actual combat: Based on the integration of WebLogic/JBoss JSF+EJB 3+JPA. development Beijing: Publishing House of electronics industry, 2010, pp. 13.
H. M. Li, EJB3. 0 Introduction to the classic, [M], Tsinghua university press, 2009.
J. Cu, Based on the radio and television university comprehensive practice link of Java EE, [J] Jilin university, 2011, pp. 16-18.
Q. Xue, The design and implementation of online bookstore based on MVC mode and Java EE Technology, [J], Micro computer application, 2014(8), pp. 37
M. P. Fu, Based on the JSF and EJB3. 0 Web application research, [D], Chengdu university of technology, 2013, pp. 14-16.
P. Gao, Recommended System Research and Applications Information similarity, [D], Shanghai Jiaotong University, 2012, pp. 28.
F. Bai, Improved K nearest neighbor algorithm in text classification page, [D], Anhui University, 2010, pp. 6.
G. Y, Cai, Improvement of personalized recommendation algorithm in collaborative filtering, [D], Jilin University, 2013, pp. 15.
W. X. Hu, N. Z. Cheng, Study on the calculation model of the degree of trust in electronic commerce transactions, [J], Electronic Commerce, 2007, pp. 61.
K. Lu, L. Xie, M. C. lI, A fusion implicitly trusted collaborative filtering recommendation algorithm, [J], Small and micro computer system, 2016, pp. 242-243.
Q. Zhuang, Research on low complexity coverage algorithm for Wireless Sensor Networks, [J], Electronic world, 2015(8), pp. 82.
Francesco Ricci, Lior Rokach, Bracha Shapira, Paul B. kantor, Recommendation system technology, evaluation and efficient algorithm，[M], Machinery Industry Press, 2015, pp. 89-90.
D. T. Sun, T. He, F. H. Zhang, Hybrid recommendation algorithm for cold start in recommendation system, [J], Computers and modernization, 2012, pp. 59-62.
Y. N. Niu, Design and implementation of personalized recommendation system of teaching resources, [D], Dalian University of Technology, 2013, pp. 57-59.
L. L. Yang, Personalized researching the construction of network teaching resources system, [C], Xinjiang normal university, 2012, pp. 24-25.
Q. Zheng, Based on the JSF and EJB3. 0 Web application research, [C], Chengdu university of technology, 2013, pp. 35.
M. Y. Yuan, H. R. Wang, Java EE development enterprise programming example explanation, [M], Tsinghua university press, 2013, pp. 39-391.
B. Song, Java Web application and development of the tutorial, [M], Tsinghua university press, 2006, pp. 80-186.