Indian Journal of Science and Technology
Year: 2023, Volume: 16, Issue: 19, Pages: 1438-1443
Original Article
P Anima1*, A S Aneeshkumar2
1Research Scholar, Department of Computer Science, AJK College of Arts and Science, Coimbatore, 641105, Tamil Nadu, India
2Research Supervisor & Head, Research Department of Computer Science & Applications, AJK College of Arts and Science, Coimbatore, 641105, Tamil Nadu, India
*Corresponding Author
Email: [email protected]
Received Date:13 January 2023, Accepted Date:22 April 2023, Published Date:14 May 2023
Objectives: To present a framework for sequential pattern analysis using deep learning with behavioral characteristic extraction. This work intends to address the two major problems of accuracy and false positives predictions due to higher self-similarity in historical clicks. Methods: It implements sequenceaware recommenders for product recommendation using hybrid historical sequential pattern recommendation system (HSPRec) and hybrid sequential pattern based neural (HSPN) algorithm to take advantage of this crucial attribute. Data is gathered from Amazon, Flipkart, and other e-commerce sites. The simulation is carried out in Matlab. Findings: The proposed deep learning model provides 98% accuracy across 46 epochs, which is at least 8% higher, compared to existing works. The false positives in proposed solution are at least 6% lower compared to existing works. Novelty: The accuracy attained in recognizing consumer sequential patterns using HSPN is 95% and 98%, respectively. The computational effectiveness and viability of the neural network algorithm have been shown via our testing of the method.
Keywords: Historical Click; Purchase Data; E-Commerce; Sequential Pattern; Initial Clicks And Purchases
© 2023 Anima & Aneeshkumar. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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