Pages and Popcorn: An Adaptive Recommender System for Enhancing Book and Movie Discovery
Anshul Sahu, Vikas Garg, Tapsi Nagpal · International Journal on Science and Technology · 2025
This research presents a comprehensive overview of recommender systems, focusing on their application in book and movie discovery. It explores traditional techniques such as collaborative and content-based filtering, as well as advanced approaches involving hybrid models, deep learning, reinforcement learning, and knowledge graphs. The study discusses key challenges including data sparsity, cold-start problems, bias, scalability, and privacy concerns. By analyzing current methodologies and implementation strategies, the paper aims to highlight how intelligent recommendation engines can enhance user experience and personalization in digital platforms.