MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076500 A) filed by Sns College Of Technology on June 20, 2026, for Ai-Enhanced E-Commerce Search Engine.
Inventors include Mrs. B. Sajitha; Keshiya V; Liyana S P; Dr. M. Siva Ramkumar; and Dr. Husna Khouser G.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: The present invention describes an AI-enhanced e-commerce search engine designed to improve the efficiency, accuracy, and personalization of product search systems. Traditional search mechanisms often rely on basic keyword matching, which limits their ability to understand user intent and deliver relevant results. To address these limitations, the proposed system integrates advanced data structures and machine learning techniques into a unified architecture. The system utilizes an inverted index for fast and efficient retrieval of products based on user queries, ensuring low latency even with large-scale datasets. A trie-based data structure is employed to provide real-time auto-completion and query suggestions, enhancing user interaction and reducing search effort. Additionally, graph-based models are used to represent relationships between products and users, enabling more meaningful and context-aware recommendations. To further improve search relevance, the system incorporates machine learning models that analyze user behavior such as search history, clicks, and purchase patterns to provide personalized ranking of results. A hybrid ranking mechanism combines keyword matching, graph insights, and AI-based predictions to deliver optimized search outcomes. The proposed system is scalable, modular, and capable of handling large volumes of data and user traffic efficiently. It also includes analytics and feedback mechanisms for continuous improvement of performance. Overall, the invention provides a comprehensive solution that enhances user experience, increases search accuracy, and supports intelligent decision-making in e-commerce platforms.
Disclaimer: Curated by HT Syndication.
