MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122192 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 4, 2025, for 'ai-powered personalized dining recommendation system using machine learning.'
Inventor(s) include Dr Sendhil Kumar K. S; Athish M J; and Jananee Shri S.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure provides a method (100) for providing personalized dining recommendations. The method (100) includes receiving (101) a user query via a conversational chatbot interface, processing (102) the user query using a natural language processing engine to extract user preferences including cuisine type, dietary restrictions, location, and budget constraints, generating (106) restaurant recommendations using a hybrid recommendation engine that combines collaborative filtering based on user behavior patterns and content-based filtering based on restaurant attributes, applying (107) sentiment analysis to restaurant reviews to enhance recommendation quality by analyzing textual content of user reviews and determining sentiment polarity, and presenting (108) personalized restaurant recommendations to the user through the chatbot interface. The system incorporates real-time data integration, dish-level recommendations, and multi-turn conversational interactions to deliver contextually relevant dining suggestions through machine learning algorithms and natural language processing technologies."
Disclaimer: Curated by HT Syndication.
