MUMBAI, India, Sept. 12 -- Intellectual Property India has published a patent application (202411012635 A) filed by Bennett University, Greater Noida, Uttar Pradesh, on Feb. 22, 2024, for 'machine learning enhanced predictive searching.'
Inventor(s) include Prof. Sanjeev Ratna Singh; and Prof. Tapas Badal.
The application for the patent was published on Sept. 12, under issue no. 37/2025.
According to the abstract released by the Intellectual Property India: "The present invention introduces a system and method for machine learning enhanced predictive searching. The system comprises a search input module, a machine learning module trained on a dataset of historical search queries and corresponding results, and a prediction engine. The prediction engine generates predictive search results based on user query input and the learned patterns. The system employs a neural network for text analysis and pattern recognition, and refines the search results based on user's past behavior and preferences. The system also features a feedback loop for continuous learning, a data anonymization component for user privacy, integration with external databases for enhanced learning, and a visualization tool for interactive search result navigation."
Disclaimer: Curated by HT Syndication.
