MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611070137 A) filed by Noida International University on June 04, 2026, for Adaptive Information Retrieval And Query Evaluation System.
Inventors include Rahul Kumar Singh; Suresh Kumar; and Harsh Vardhan.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: The invention relates to adaptive information retrieval systems configured to process natural language queries and retrieve ranked information items from one or more data repositories. Conventional retrieval systems generally use static ranking methods and limited query adaptation mechanisms. The disclosed system includes a query interface, context analysis module, retrieval engine, ranking module, user feedback module, and evaluation module. The system determines a query difficulty level or user intent, performs faceted retrieval, dynamically adjusts relevance scores using session activity and prior queries, and presents interactive cues for iterative refinement. The evaluation module automatically assesses retrieval quality using query difficulty level and user feedback to generate evaluation outputs. The invention is applicable to enterprise search systems, digital libraries, intelligent search platforms, and knowledge management systems.
Disclaimer: Curated by HT Syndication.
