MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611000582 A) filed by Ct University, Ludhiana, Punjab, on Jan. 3, for 'artificial intelligence-based system and method for authentic review identification and ranking of products.'
Inventor(s) include Dr. Rupali; Dr. Kangan Sayal; Dr. Nittan Arora; Dr. Inderpal Singh; Dr. Sandeep Ranjan; and Dr. Sumant Sharma.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention is a system and technique based on artificial intelligence for recognizing genuine product reviews and creating trust-based rankings on internet platforms. In order to differentiate real user feedback from phony, promotional, or bot-generated evaluations, the system compiles reviews from several e-commerce and digital marketplaces and uses sophisticated natural language processing, behavioral analysis, and credibility grading. Before adding to a composite trustworthiness score for products, each review is assessed for authenticity, relevance, sentiment depth, and contextual usefulness. The invention places more emphasis on verifiable experiences, feature-level sentiment, and temporal consistency than traditional rating-based ranking algorithms. The platform promotes ethical brands, protects customers from false information, increases transparency, and makes it possible for marketplaces and authorities to properly monitor and minimize review manipulation."
Disclaimer: Curated by HT Syndication.
