MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641093485 A) filed by Prince Shri Venkateshwara Padmavathy Engineering College; Prince Dr K Vasudevan College Of Engineering Technology; Prince Shri Balaji Arts And Science College; and Prince Shri Venkateshwara Arts And Science College on August 01, 2026, for Personalized Media Experience Generation And Audience Analytics System.
Inventors include Ms. Sharmila T; Ms. Barkavi M; Ms. Sindhumathi M; and Ms. Thamayanthi C.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The present invention relates to an Artificial Intelligence (AI)-Driven Consumer Behaviour Analysis and Personalized News Recommendation System designed for print and digital media organizations. The system collects demographic information, psychographic attributes, media consumption patterns, browsing behaviour, readership preferences, engagement metrics, and feedback data from users. Artificial intelligence, machine learning, predictive analytics, and recommendation algorithms are employed to analyse consumer behaviour and identify individual content preferences. Based on the analysis, the system generates personalized news feeds, targeted advertisements, subscription recommendations, content delivery schedules, and engagement strategies. The invention further predicts reader retention, subscription renewal probability, content popularity, and audience segmentation patterns. The proposed system enhances reader satisfaction, improves content relevance, increases digital engagement, strengthens customer loyalty, and optimizes revenue generation for media organizations through intelligent decision-support mechanisms.
Disclaimer: Curated by HT Syndication.
