A two-level Product Recommender for E-commerce Sites by Using Sequential Pattern Analysis

  • Shahram Jamali University of Mohaghegh Ardabili, Ardabil, IRAN
  • Yahya Dorostkar Navaei University of Mohaghegh Ardabili, Ardabil, IRAN
Keywords: Product recommendation system, two-level RPS, e-commerce, clustering, sequential pattern analysis

Abstract

With the development of communication networks and rapid growth of their applications, huge amount of information have been produced. Major part of these information are in electronic stores, and hence it's really hard to find desired products inside huggermugger. Product Recommendation System (PRS) tries to solve this problem by giving appropriate and fast recommendations to the customers. This paper proposes a two-level product recommender for E-commerce sites. At first, the available products are clustered by using C-Means algorithm to create groups of products with similar characteristics. Then, the second level considers the customers’ behavior and their purchase history for drawing the relationships between products by using Sequential Pattern Analysis (SPA) method. These relationships, eventually, will lead to appropriate recommendation for customers and also increases the likelihood of selling related products in electronic transactions. Extensive numerical simulations over UCI transactions 10k dataset indicates that 87% of records in mined sequential patterns are predicted correctly and the accuracy of recommendations is more than other RPSs.

Author Biographies

Shahram Jamali, University of Mohaghegh Ardabili, Ardabil, IRAN
Department of Computer Engineering
Yahya Dorostkar Navaei, University of Mohaghegh Ardabili, Ardabil, IRAN
Department of Computer Engineering
Published
2016-04-01
How to Cite
Jamali, S., & Navaei, Y. D. (2016). A two-level Product Recommender for E-commerce Sites by Using Sequential Pattern Analysis. International Journal of Integrated Engineering, 8(1). Retrieved from https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/1330
Section
Issue on Electrical and Electronic Engineering