MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202621007522 A) filed by Rewiseed AI India Private Limited, Pune, Maharashtra, on Jan. 27, for 'a system and method for real time, intent aware trust classification of digital search results.'

Inventor(s) include Sharma, ASV Nagesh Kumar.

The application for the patent was published on March 13, under issue no. 11/2026.

According to the abstract released by the Intellectual Property India: "The present invention discloses a computer implemented method and system for generating trust classifications of digital content retrieved through search engines or browsing interfaces prior to user access. The system comprises at least one processor in communication with memory and functional modules including a search interaction detection module, a context and metadata extraction module, an intent inference module, a trust intelligence engine, an intent aware scoring module, a trust classification module, and a user interface module. The method involves detecting a search interaction, extracting contextual metadata, inferring probable user intent, computing credibility parameters, dynamically weighting the parameters based on intent, generating trust scores, mapping the scores to discrete classifications, and presenting the classifications adjacent to search results before access occurs. The invention produces technical effects including pre access credibility evaluation, reduction of misinformation exposure, improved computational decision support, reduced cognitive load, and enhanced reliability of search interactions across multiple domains."

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