Reading Promotion and Sharing Platform Construction Based on Artificial Intelligence Technology

Abstract

This study delves into the development and impact of a "Reading Promotion and Sharing Platform" empowered by Artificial Intelligence (AI) technology. The platform integrates advanced AI algorithms to personalize book recommendations based on user preferences, thereby enhancing user engagement and satisfaction. Key features include AI-driven recommendation systems that analyze user behaviour and content interactions to deliver tailored suggestions, aiming to alleviate information overload and optimize the digital reading experience. Additionally, the platform incorporates robust community interaction features such as user-generated reviews, discussion forums, and virtual book clubs. These elements foster a dynamic social environment where readers can connect, share insights, and collaborate on literary interests. By examining the interplay between AI-driven personalization and community engagement, this study aims to elucidate how these technological advancements can collectively promote reading habits and cultivate a sense of community among diverse user demographics. The findings underscore the transformative potential of AI in shaping digital reading platforms and highlight opportunities for future research and innovation in enhancing literary engagement through technology.