From Sales Strategies to Information Ecosystems: The Role of Personalized Recommendation

Abstract

The paper is about the application of personalized recommendations on online shopping applications to improve sales success and the spread of fake news on social media platforms. First, the paper introduces a personalized recommendation system's concept and working principle, then emphasizes its importance in improving user experience and sales efficiency. Then it analyzes the information cocoon effect that personalized recommendation may bring, it is users only see the content that conforms to their interests and views, which intensifies the single and misleading information. This is followed by a discussion of how companies can use personalized advertisement recommendations to improve sales success.Then through deep learning and search, personalization systems can efficiently provide personalized product recommendations to users, but there are still opportunities to improve their effectiveness, such as improving network effects among relevant users. Therefore, it points out a new method to improve the sales success rate of online shopping applications. Then discusses the role of social networks in the spread of fake news. Finally, through the network diagram, the phenomenon of information-closed loop between different groups is demonstrated, and the information transmission gap that may be caused by personalized recommendations is explained.