Story Sage: A Review of Personalized Recommendation Systems in Digital Reading Platforms

Story Sage: A Review of Personalized Recommendation Systems in Digital Reading Platforms

Abhay Singh

Email: abhaysingh01102002@gmail.com

Ashutosh Negi

Email: ashutoshnegi533@gmail.com

Ashwini Kumar Sah

Email: ashwini0951@gmail.com

Kavindra Kumar Garg

Email: kavindra.garg@ipec.org.in

ABSTRACT

"Story Sage" is a transformative digital platform designed to revolutionize the online reading experience by integrating advanced personalized recommendation systems, gamification, and social community-driven features. The platform leverages a hybrid recommendation system that combines collaborative filtering, content-based filtering, and deep learning approaches, enhanced with insights from social media. Story Sage aims to solve issues such as book choice overload and reader disengagement by offering highly personalized book recommendations, engaging readers through interactive features like badges and milestones, and fostering a connected reading community. This paper discusses the design, methodologies, technical implementation, expected outcomes, and future directions of Story Sage, highlighting its potential to reshape the digital reading ecosystem.[1][3]

Keywords: personalized recommendation, digital reading, user engagement, gamification, hybrid recommender system, content-based filtering, collaborative filtering, social media integration.