Abstract :
Abstract Abstract: This study presents an innovative approach to improving movie recommendation systems through the integration of artificial intelligence (AI), text-to-number conversion, and cosine similarity. The hybrid system aims to enhance the accuracy and relevance of movie suggestions by leveraging both textual information and user preferences. Through extensive experimentation, we demonstrate the effectiveness of our proposed methodology in providing personalized and context-aware recommendations.
Keyword :
Keywords: Movie Recommendations, Artificial Intelligence, Hybrid Systems, Text-to-Number Conversion, Cosine Similarity, Personalization, User Preferences