MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641082481 A) filed by Bgs College Of Engineering And Technology Bgscet on July 04, 2026, for A Method And System For Context-Aware Gameplay Personalization Using Hybrid Feature Extraction And Contextual Representation Generation.
Inventors include Ravikumar Guralamata Krishnegowda; Govindaiah Thimma Raju; Jalaja Govindappa; Madhura Gangaiah; Harsha Chidananda; Mohith Venkatesha Babu Krishnam; Benakesh Hanumantha; and Gagan Kumar Shivanna.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present disclosure addresses the problem of generating fragrance recommendations that inadequately reflect dynamically evolving gameplay behaviour. A context-aware gameplay personalization system (200) and method (300) are disclosed, wherein gameplay information acquired from one or more gameplay sources is pre-processed and analysed using a hybrid feature extraction and contextual representation generation architecture (220) comprising a convolutional neural network, a convolutional neural network- long short-term memory network, a vision transformer, and an autoencoder to generate a unified gameplay context representation. The generated context representation is processed by a fragrance mapping and recommendation generation architecture (230) to perform contextual similarity computation, confidence estimation, candidate ranking, and selection of fragrance profiles for generating personalized fragrance recommendations. The disclosed framework improves contextual interpretation, recommendation reliability, analytical robustness, and adaptability across diverse gameplay environments.
Disclaimer: Curated by HT Syndication.
