With the rapid development of the mobile internet era and the continuous application of high-tech such as artificial intelligence, personalized intelligent recommendation has become an important marketing method for e-commerce platform enterprises to meet the diverse preferences of consumers. Against the backdrop of consumer upgrading and sharing economy, in line with the trend of internet development, various knowledge payment apps have emerged, providing users with new channels for knowledge exchange, free discussion, and enhancing their knowledge reserves. After experiencing rapid development, knowledge payment apps have fallen into difficulties such as homogeneous content, single form, and low repurchase rates. In order to accurately match one's preferences and solve complex information problems, intelligent recommendation systems were born. This system enables consumers to adjust product information, easily capture product decisions, and consume quickly. Personalized recommendations have a significant impact on consumers' purchasing behavior, as they help improve the performance of e-commerce platform enterprises. The application of e-commerce personalized recommendation systems has great development prospects, but there are also certain security risks and inaccurate recommendations that need to be improved. This article studies the impact of intelligent recommendations on consumer behavior from the perspectives of knowledge paying users, platforms, and content providers.

Lina Zou. Research on the Impact of Intelligent Recommendation on the Behavior of Knowledge Payment Consumers. International Journal of Frontiers in Sociology (2023), Vol. 5, Issue 7: 157-161. https://doi.org/10.25236/IJFS.2023.050725.

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