Abstract
SummaryIn the era of rapid development of information technology, e‐commerce has opened up a different cross‐distance trade model from traditional trade and has changed the traditional market competition. With the rapid development of network information technology and the rapid spread of online shopping, online shopping will gradually become one of the main ways people buy. It is a decision‐making process for a customer to purchase a product to characterize the product, evaluate the characteristics of the product, and select a product that matches its needs. For online merchants, it is especially important to make a profit in online sales and to be in a competitive position. This paper studies the impact of promotional methods based on visual attention models and data mining on purchasing decisions. The revised Itti visual saliency model is designed considering the visual features; the machine learning algorithm is integrated to construct the comprehensive structure of the model. The experimental results show the robustness and efficiency of the designed framework.
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