MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611049193 A) filed by Nims University, Jaipur, Rajasthan, on April 17, for 'content recommendation system.'
Inventor(s) include Harsh Sharma; Jay Joshi; and Rahul Khatri.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The invention discloses an AI-driven content recommendation system (101) for a streaming platform comprising a data collection module (102) for gathering user data, a user preference analysis module (103) for determining behavioural patterns, a content feature extraction module (104) for cataloguing content attributes, an AI recommendation engine (105) employing deep neural networks and reinforcement learning to generate personalised recommendations, a personalised interface generator (106) for optimized presentation, and a feedback analysis module (107) for refining algorithms. The system performs temporal pattern recognition, content affinity modelling, automated content tagging, collaborative filtering, sentiment analysis, real-time session-based adjustment, rapid model updates, and dynamic layout optimisation to enhance recommendation accuracy and adaptability. The invention further provides a method (102) including data collection, preference analysis, content feature extraction, recommendation generation, interface presentation, and feedback processing, producing improved real-time adaptation, computational efficiency, and long-term engagement."
Disclaimer: Curated by HT Syndication.
