Published in Data Science and Engineering (DSE) Record 2023 Vol. 4 No. 1 pp. 132-143
Abstract
This independent research aims to rank electronic commerce (E-commerce) commercial products by utilizing data from E-commerce platforms for study and investigation. It incorporates a tool known as "Page Rank" and combine with consumer satisfaction to reorganize the product ranking. The goal is to promote new or less-recognized products to improve their visibility. This point is the problem commonly faced by businesses that want to increase sales and maximize product distribution but struggle to showcase products that have not yet garnered significant sales, causing a vicious cycle of low visibility. In this research, have implement products same store as variables in calculating Page Rank scores. The testing results show that by combining Page Rank scores with consumer satisfaction ratings, products that were previously displayed in the middle or lower rankings on the E-commerce platform can be repositioned to appear at the top or on the first page more frequently and result from user acceptance test is not variant.