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A Framework for Career-Education Hybrid Recommender System using a Selective Path Delta-SimRank Algorithm

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 90 - Number 2
Year of Publication: 2014
Authors:
Waleed M. Al-adrousy
Hesham A. Ali
Taher T. Hamza
10.5120/15550-4365

Waleed M Al-adrousy, Hesham A Ali and Taher T Hamza. Article: A Framework for Career-Education Hybrid Recommender System using a Selective Path Delta-SimRank Algorithm. International Journal of Computer Applications 90(2):42-47, March 2014. Full text available. BibTeX

@article{key:article,
	author = {Waleed M. Al-adrousy and Hesham A. Ali and Taher T. Hamza},
	title = {Article: 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},
	month = {March},
	note = {Full text available}
}

Abstract

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.

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