MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202541065894 A) filed by Sanu S J; and Dr. Rakesh Krishnan M on July 10, 2025, for Generative Ai Models For Personalized Recommendation Systems In E-Commerce.
Inventors include Sanu S J; and Dr. Rakesh Krishnan M.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT: Title: Generative AI Models for Personalized Recommendation Systems in E-Commerce This invention presents a generative AI-powered recommendation system designed to deliver hyper-personalized product suggestions in e-commerce environments. Unlike traditional recommendation methods relying on collaborative or content-based filtering, the system leverages advanced generative models—such as transformer architectures and variational autoencoders—to simulate individual user preferences and forecast purchasing intent. By encoding historical interactions, contextual signals, and behavioral cues, it creates dynamic user profiles capable of generating tailored narratives, product bundles, and promotional content. The system includes a multi-channel delivery mechanism, supporting real- time adaptation across web, mobile, and messaging interfaces. A built-in feedback loop captures user responses to refine models continuously and enhance recommendation precision. It also addresses cold-start and sparsity challenges by simulating plausible user behaviors using generative learning. Additionally, it supports multilingual outputs, enabling localization for diverse markets. This invention significantly improves engagement, conversion, and user satisfaction, offering an intelligent, scalable solution for modern digital retail personalization.
Disclaimer: Curated by HT Syndication.
