MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611065056 A) filed by Greater Noida Institute Of Technology Engineering Institute on May 23, 2026, for Ai-Based Entertainment Content Recommendation System With Hybrid Filtering And Sentiment-Aware Adaptation.
Inventors include Dr. Jay Shankar Prasad; Kushali; Nandini; Sandipan Das; Vanshika Singh; Vikhyat Mishra; Sudhanshu Srivastava; and Samarth Singh.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: Abstract An intelligent entertainment recommendation platform is disclosed for AI-based entertainment recommendation. The system receives viewing history, ratings, genre selections, search patterns, reviews, watchlists and trending content data from viewers, a content database, streaming interface and recommendation engine through an input interface. A conditioning portion prepares the received input by filtering, normalizing, parsing, segmenting or otherwise converting the input into a structured representation suited to the particular processing task. A decision portion then builds a user preference profile, compares the profile with similar users and content attributes, incorporates sentiment or trend signals and updates recommendations after each interaction. The system generates movie and web-series recommendations, mood-based suggestions, watchlist updates and trend predictions through an output interface and stores a corresponding processing record. The arrangement links acquisition, conditioning, decision processing and output generation in one operative chain, because collaborative, content-based and sentiment signals are recomputed as user interactions are stored. Dated 13 May 2026 Kumar Tushar Srivastava IN/PA- 3973 Agent for the Applicant
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