Usage data for predicting user trends and behavioral analysis in E-commerce applications
- Title
- Usage data for predicting user trends and behavioral analysis in E-commerce applications
- Creator
- Sathiyamoorthi V.; Ravishankar T.N.; Ilavarasi A.K.; Udayakumar S.; Harimoorthy K.; Jayapandian N.; Saravanan V.
- Description
- Reviewing and buying the right goods from online websites is growing day by day in todays fast internet environment. Numerous goods in the same label are available to consumers. It is thus a difficult job for consumers to pick up the correct commodity at a decent price under different market conditions. Therefore, it is important for owners of online shopping websites to better understand their customers needs and offer better services. For these reasons, the access log documented a vast amount of data related to user interactions with the websites. This access log therefore plays a key role in predicting user access trends and in recommending the best product to consumers. This research work therefore focuses on one such methodology for evaluating the pattern and behavioral analysis of users in e-commerce websites. Copyright 2021, IGI Global.
- Source
- International Journal of Information Systems in the Service Sector, Vol-13, No. 4, pp. 40-61.
- Date
- 2021-01-01
- Publisher
- IGI Global
- Subject
- Internet; Prediction; Web; Web Mining; WWW
- Coverage
- Sathiyamoorthi V., Sona College of Technology, India; Ravishankar T.N., Veltech Hightech Dr. Rangarajan Dr. Sakunthala Engineering College, India; Ilavarasi A.K., Centre for Healthcare Advancement, Innovation and Research, Vellore Institute of Technology, Chennai, India; Udayakumar S., Mettu University, Ethiopia; Harimoorthy K., CHRIST University, Deemed), India; Jayapandian N., CHRIST University, Deemed), India; Saravanan V., Dambi Dollo University, Ethiopia
- Rights
- Restricted Access
- Relation
- ISSN: 19355688
- Format
- Online
- Language
- English
- Type
- Review
Collection
Citation
Sathiyamoorthi V.; Ravishankar T.N.; Ilavarasi A.K.; Udayakumar S.; Harimoorthy K.; Jayapandian N.; Saravanan V., “Usage data for predicting user trends and behavioral analysis in E-commerce applications,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/21579.