MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641048405 A) filed by Sona College Of Technology, Salem, Tamil Nadu, on April 16, for 'adaptive machine learning system and method for context-sensitive web content evaluation.'
Inventor(s) include Asha S; and Prawin Krishnan G.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a computer-implemented adaptive machine learning system for context-aware web content rating. The system dynamically assigns a suitability rating within a predefined multi-class scale based on both content features and real-time contextual parameters including user demographics, device type, location, and browsing intent. A preprocessing module generates a structured feature vector through text normalization, keyword vectorization, and contextual encoding. An adaptive ensemble framework comprising multiple classifier modules executes in parallel to generate probability outputs, which are aggregated using a weighted mechanism to produce a consolidated suitability score. The system further integrates a large language model service to perform sentiment analysis and safety detection. The coordinated interaction between preprocessing, parallel classification, and contextual semantic analysis enables improved classification robustness, reduced inference latency, and enhanced computational efficiency for real-time web content evaluation."
Disclaimer: Curated by HT Syndication.
