Research Article
AI-Driven Personalized Entertainment Recommendation System: ModifAI Me
@INPROCEEDINGS{10.4108/eai.28-4-2025.2357758, author={S Vinoth Kumar and Madhumithra Balasubramanian and Gudidevini Pavan Goud}, title={AI-Driven Personalized Entertainment Recommendation System: ModifAI Me}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I}, publisher={EAI}, proceedings_a={ICITSM PART I}, year={2025}, month={10}, keywords={recommendation system artificial intelligence sentiment analysis deep learning user personalization explainable ai hybrid filtering reinforcement learning}, doi={10.4108/eai.28-4-2025.2357758} }- S Vinoth Kumar
Madhumithra Balasubramanian
Gudidevini Pavan Goud
Year: 2025
AI-Driven Personalized Entertainment Recommendation System: ModifAI Me
ICITSM PART I
EAI
DOI: 10.4108/eai.28-4-2025.2357758
Abstract
ModifAI Me is an AI-powered entertainment recommendation system that personalizes suggestions based on real- time user attributes such as mood, energy level, group size, and preferences. This system enhances user experience by integrating deep learning, sentiment analysis, and contextual awareness for dynamic and explainable recommendations. Utilizing hybrid models of collaborative and content-based filtering, ModifAI Me outperforms traditional systems by providing real-time adapt- ability and transparent decisions. Future enhancements include federated learning, voice/gesture integration, and expansion into lifestyle domains like travel and fitness.
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