MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611056209 A) filed by Greater Noida Institute Of Technology Engineering Institute on May 03, 2026, for Social Network Friend Suggestion Using Machine Learning.
Inventors include Ms Apurva Singh; Mr Nitin; Dr Ajay Kumar Gupta; Mrs Nisha Pandey; Prince Kundiyal; Rajnish Chauhan; Piyush Kumar; Aryan Verma; Gauri Singh; Gitesh Kumar; Harsh Pal; and Manish Kumar.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present invention relates to a system and method for generating personalized friend recommendations in social networks using machine learning and graph-based analysis. The system collects user data including profile attributes, interests, and interaction history, and processes the data to extract relational and behavioral features. Similarity measures and graph-based metrics are computed to represent potential connections, which are analyzed using a trained machine learning model to predict the likelihood of forming friendships. The predicted connections are ranked and presented as personalized recommendations. The system further incorporates an adaptive learning mechanism to update the model based on new interactions and user feedback, thereby improving accuracy over time. The invention provides a scalable, efficient, and intelligent solution for enhancing user engagement and connectivity in social networking platforms.
Disclaimer: Curated by HT Syndication.
