MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611051520 A) filed by Kulvinder Singh; and Sanjeev Dhawan on April 22, 2026, for Ensemble-Based Recommendation System With White Shark Optimization Algorithm.
Inventors include Kulvinder Singh; and Sanjeev Dhawan.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: The invention pertains to an ensemble system of a recommendation system based on a White Shark Optimization (WSO) algorithm and SMOTE (Synthetic Minority Over-sampling Technique)-based preprocessing with boosting-based learners for effective feature selection, weight learning, and parameter adjustment for effective process optimizations. The system employs collaborative filtering, content-based filtering, and boosting models in the optimized ensemble system. SMOTE is used for class-imbalanced dataset balancing, boosting is used to enhance weak learners, and WSO is used for ensemble weight and parameter adaptation. The results shows better accuracy for recommendation, robustness of data sparsity, and ease of process adaptation to varying user item interaction.
Disclaimer: Curated by HT Syndication.
