Intellectual Property India Publishes Patent Application for Multimodal Adversarial Spam-Resilient Recommender System For Trust-Aware Personalized Recommendations

MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202641098037 A) filed by Sr University on August 13, 2026, for Multimodal Adversarial Spam-Resilient Recommender System For Trust-Aware Personalized Recommendations.

Inventors include Dr. Rathan Kumar Chennoori; Dr. Pramod Kumar Poladi; Dr. Sunil Kumar Thota; Dr. P. Balakrishna; Dr. Majetisrinadh Swamy; Dr. Pillareddy Vamsheedhar Reddy; and Dr. Thirupathi.

The application for the patent was published on August 21, 2026, under issue no. 34/2026.

Abstract: ABSTRACT Disclosed herein is a multimodal adversarial spam-resilient recommender system (100) for trust-aware personalized recommendations that comprises a User Device (102), a Communication Interface (104), a Multimodal Data Acquisition Unit (106), a Data Storage Unit (108), a Processing Unit (110), a Recommendation Interface (136), an Alert and Explanation Interface (138), and a Model Update Unit (140), Processing Unit (110) comprises a Pre-processing Module (112), a Feature Extraction Module (114), a Consistency Analysis Module (116), a Behavioral Analysis Module (118), a Temporal Analysis Module (120), a Spam Detection Module (122), a Trust Scoring Module (124), an Influence Adjustment Module (126), a Personalization Module (128), a Recommendation Module (130), an Explainability Module (132), and an Adaptive Learning Module (134). The system processes multimodal recommendation information, determines spam risk, dynamic trust scores, adjusts recommendation influence, generates fairness-aware personalized recommendations, provides explainability information, adaptively updates processing models based on detected spam patterns and recommendation feedback.

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