MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202611110500 A) filed by Dr. Narendra Dudhabhai Parmar; Dr. Fool Singh Anare; Dr. Sanjeevkumar Sharma; Hitesh Sharma; and Patel Pintukumar Ishvarbhai on September 15, 2026, for Machine Learning-Based Intelligent Library User Behavior Prediction And Personalized Information Resource Recommendation System For Academic Libraries.
Inventors include Dr. Narendra Dudhabhai Parmar; Dr. Fool Singh Anare; Dr. Sanjeevkumar Sharma; Hitesh Sharma; and Patel Pintukumar Ishvarbhai.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: The present invention discloses the development of an intelligent system that is designed using machine learning to predict library user behavior and make recommendations about personalized information resources. The proposed intelligent system is made up of the following components: user interaction data acquisition module (101), data preprocessing module (102), user behavior profiling module (103), academic context analysis module (104), resource profiling module (105), machine learning-based behavior prediction engine (106), personalized recommendation engine (107), recommendation ranking module (108), feedback processing module (109) and continuous learning module (110). The system uses user interaction data, such as searches, browsing history, borrowing history, downloads, ratings, academic context, and resource metadata to derive behavior features and predict future information needs of users. The candidate library resources are ranked in order of interest to the user, academic relevancy, resource similarity, interaction history, availability and feedback received. FIG.1
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