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Apply hybrid recommender system using genetic algorithms and singular value decomposition (SVD)
Joint Authors
Hamid, Jawad S.
Muhammad, Nashat J.
Source
Journal of College of Education for Pure Sciences
Issue
Vol. 9, Issue 1 (31 Mar. 2019), pp.126-133, 8 p.
Publisher
University of Thi-Qar College of Education for Pure Sciences
Publication Date
2019-03-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Abstract EN
Due to the increasing development in using modern technology for different purposes, recommendation systems have become essential in providing solutions to all users.
Recommendation systems can be used for various applications or on the internet to purchase products or to surf the web for scholarly articles, to watch videos and other activities.
Many statistical and mathematical suggestions have been made to make different systems capable of giving accurate recommendations that can be of benefit to users in various fields.
One of these suggestions is Singular Value Decomposition (SVD) which is the most popular method in previous research.
In addition to that, (SVD) has two important factors in its performance, which are, (? , ?) and choosing these two factors plays an important role in the accuracy of recommendation systems.
Choosing these two factors was a heavily discussed topic in previous academic research.
In this paper, the use of artificial intelligence method Genetic Algorithm (GA) to design a hybrid system with the Singular Value Decomposition (SVD) to specify the best values of (? , ?), and hence acquiring an accurate recommendation system with better speed.
After several experiments, the results indicated that the hybrid system better system according to time.
The hybrid system (GA) is also better than the system uses (SVD) in accuracy and time.
American Psychological Association (APA)
Hamid, Jawad S.& Muhammad, Nashat J.. 2019. Apply hybrid recommender system using genetic algorithms and singular value decomposition (SVD). Journal of College of Education for Pure Sciences،Vol. 9, no. 1, pp.126-133.
https://search.emarefa.net/detail/BIM-891642
Modern Language Association (MLA)
Hamid, Jawad S.& Muhammad, Nashat J.. Apply hybrid recommender system using genetic algorithms and singular value decomposition (SVD). Journal of College of Education for Pure Sciences Vol. 9, no. 1 (Mar. 2019), pp.126-133.
https://search.emarefa.net/detail/BIM-891642
American Medical Association (AMA)
Hamid, Jawad S.& Muhammad, Nashat J.. Apply hybrid recommender system using genetic algorithms and singular value decomposition (SVD). Journal of College of Education for Pure Sciences. 2019. Vol. 9, no. 1, pp.126-133.
https://search.emarefa.net/detail/BIM-891642
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 133
Record ID
BIM-891642