MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202611049196 A) filed by Nims University, Jaipur, Rajasthan, on April 17, for 'entertainment recommendation system.'
Inventor(s) include Jay Joshi.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a system (100) and method (200) for generating personalised entertainment recommendations based on predicted audience reactions. The invention utilises a data acquisition module (101) to collect user-related, content-related, and contextual information, followed by a preprocessing module (102) for cleaning and structuring the collected data. A multi-modal feature extraction module (103) derives audio, visual, and textual features from entertainment content, which are analysed by an affect-correlation engine (104) to associate content attributes with emotional or behavioural responses. A reaction prediction engine (105), employing hybrid modelling, generates individualised reaction predictions that are continuously updated through a preference adaptation module (106). A recommendation generator (107) creates ranked, diverse, and novel content suggestions, while an interpretability layer (108) produces human-readable explanations for transparency. The invention enables accurate, adaptive, and explainable entertainment recommendations across varied media platforms."
Disclaimer: Curated by HT Syndication.
