|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 90 - Issue 2 |
| Published: March 2014 |
| Authors: Waleed M. Al-Adrousy, Hesham A. Ali, Taher T. Hamza |
10.5120/15550-4365
|
Waleed M. Al-Adrousy, Hesham A. Ali, Taher T. Hamza . A Framework for Career-Education Hybrid Recommender System using a Selective Path Delta-SimRank Algorithm. International Journal of Computer Applications. 90, 2 (March 2014), 42-47. DOI=10.5120/15550-4365
@article{ 10.5120/15550-4365,
author = { Waleed M. Al-Adrousy,Hesham A. Ali,Taher T. Hamza },
title = { A Framework for Career-Education Hybrid Recommender System using a Selective Path Delta-SimRank Algorithm },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 90 },
number = { 2 },
pages = { 42-47 },
doi = { 10.5120/15550-4365 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Waleed M. Al-Adrousy
%A Hesham A. Ali
%A Taher T. Hamza
%T A Framework for Career-Education Hybrid Recommender System using a Selective Path Delta-SimRank Algorithm%T
%J International Journal of Computer Applications
%V 90
%N 2
%P 42-47
%R 10.5120/15550-4365
%I Foundation of Computer Science (FCS), NY, USA
Selecting proper educational courses is a major problem in the student's life. A key factor in selecting courses is asking for the experts' opinion in the real life business. However, contacting with a real expert in a field may be difficult for many students. In this research, we suggest a general framework for a social network to connect students and experts. The framework depends on a variation of Delta-SimRank algorithm. The suggested variation is called Selective Path Delta-SimRank (SPDSR). Both the SPDSR and the original Delta-SimRank apply MapReduce technique for load balancing in a network of device. The suggested SPDSR tries to enhance the performance of Delta-SimRank. The Experiments results had shown that SPDSR had reduced the processing time in 30-70% of test cases to enhance performance by 18% in average.