MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063915 A) filed by Dr. Sns Rajalakshmi College Of Arts And Science, Coimbatore, Tamil Nadu, on May 20, for 'ai based personalized content recommendation system.'
Inventor(s) include Praveen Kumar G; Vishwa V; Bala Subara Maniyan; Madhu Bala M; and Bhuvaneswari M.
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 present invention relates to an intelligent system for delivering personalized content recommendations using artificial intelligence and data analytics techniques. The system collects and analyzes user data such as browsing history, search queries, preferences, and interaction patterns through a digital platform. The collected data is processed using machine learning algorithms to identify user interests and predict relevant content. The system generates customized recommendations using techniques such as collaborative filtering, content-based filtering, and hybrid recommendation models. The recommended content is displayed to users through a user interface, and user feedback is continuously monitored to improve recommendation accuracy. The system enhances user engagement, improves content discovery, reduces information overload, and provides an efficient and scalable solution for personalized content delivery across various digital platforms."
Disclaimer: Curated by HT Syndication.
