MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641090894 A) filed by Sr University on July 27, 2026, for E-Commerce Recommender System Enhancing Recommendation Accuracy Using Rfm-Based Customer Behavioral Features.
Inventors include Mohd Abdul Hafeez; and Sasanko Sekhar Gantayat.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: ABSTRACT Disclosed herein is an e-commerce recommender system (100) enhancing recommendation accuracy using RFM-based customer behavioral features that comprises user device (102), an e-commerce transaction database (104), a product information repository (106), a customer behaviour repository (108), a memory unit (110), a processing unit (112), a recommendation output interface (138), and a communication network (140), processing unit (112) comprises a data acquisition module (114), a data pre-processing module (116), a feature engineering module (118), an RFM analysis module (120), a behavioral feature extraction module (122), a customer profiling and segmentation module (124), an item feature processing module (126), a collaborative filtering module (128), a hybrid recommendation module (130), a recommendation ranking module (132), a model evaluation module (134), and a recommendation output generation module (136) configured to generate, evaluate, rank, and deliver personalized product recommendations using RFM metrics, customer behavioral features, customer segmentation, and collaborative filtering for improved recommendation accuracy.
Disclaimer: Curated by HT Syndication.
