MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202531130529 A) filed by Rahul Kumar Singh; Sumendra Nath Singh; Lavkush Sharma; and Vandna Kumari, Patna, Bihar, on Dec. 23, 2025, for 'machine learning-based system for optimizing document ranking in information retrieval.'
Inventor(s) include Sumendra Nath Singh; Lavkush Sharma; Vandna Kumari; and Rahul Kumar Singh.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "This present invention provides a system and method for optimizing document ranking in information retrieval using machine learning algorithms. The system dynamically adjusts rankings in real-time based on user queries and feedback, utilizing reinforcement learning to continuously refine the ranking model. By integrating contextual embeddings from pre-trained language models and unsupervised learning techniques, the system enhances the relevance of search results, adapting to evolving user preferences and query patterns. This approach improves search result accuracy, providing more personalized and context-aware document rankings over time."
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