Personalizing mobile commerce website using google analytics
Joint Authors
Mahmud, Ahmad Hasan
Abd Allah, Ahmad Rashid
Source
Iraqi Journal for Information Technology
Issue
Vol. 8, Issue 4 (30 Sep. 2018), pp.144-156, 13 p.
Publisher
Iraqi Association of Information Technology
Publication Date
2018-09-30
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Today number of ecommerce users who make day to day transactions are increasing.
the largest m-commerce sites offer millions of products for sale.
Choosing among so many options is challenging for consumers.
This rapid expansion has resulted in new challenges to both companies as well as customers.
Customers are overloaded with multiple choices for a specific product, which results in a confused and lost state.
Personalized recommendation is the key technology to solve some of the challenges that face and affect the performance of Ecommerce system.
In this paper, a personalized recommender system based on Google Analytics data is proposed for personalizing the m-commerce website.
to present the results, a comparison is used to show the recommended products status before and after applying the proposed work
American Psychological Association (APA)
Mahmud, Ahmad Hasan& Abd Allah, Ahmad Rashid. 2018. Personalizing mobile commerce website using google analytics. Iraqi Journal for Information Technology،Vol. 8, no. 4, pp.144-156.
https://search.emarefa.net/detail/BIM-922741
Modern Language Association (MLA)
Mahmud, Ahmad Hasan& Abd Allah, Ahmad Rashid. Personalizing mobile commerce website using google analytics. Iraqi Journal for Information Technology Vol. 8, no. 4 (2018), pp.144-156.
https://search.emarefa.net/detail/BIM-922741
American Medical Association (AMA)
Mahmud, Ahmad Hasan& Abd Allah, Ahmad Rashid. Personalizing mobile commerce website using google analytics. Iraqi Journal for Information Technology. 2018. Vol. 8, no. 4, pp.144-156.
https://search.emarefa.net/detail/BIM-922741
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-922741