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@article{187553,
        author = {Malhar Kulkarni and Kshitij Rai and Ayush Patil and Mayuresh Gulame},
        title = {MovieMate: An AI-Based Cross-Platform Personalized Movie Recommender},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {5744-5749},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187553},
        abstract = {In today’s digital age, users are overwhelmed with scattered content across OTT platforms, making movie discovery difficult. MovieMate is an AI-based movie recommender that unifies content discovery across platforms using intelligent filters such as genre, mood, IMDb rating, and watch history. It enhances user experience through a personalized interface, time-aware suggestions, social features like friend activity and watch parties, and a modular architecture leveraging collaborative filtering and AI techniques.},
        keywords = {AI Recommender, MovieMate, Cross-Platform, Personalization, Streaming, Collaborative Filtering, Mood-Based Suggestions, TMDb, React, Tailwind},
        month = {November},
        }