AI Based Personalized News Aggregator
Year: 2025
Type: article
Abstract: AI Based Personalized News Aggregator will develop the news aggregator application, based on GNNs and meta-learning techniques, to provide a customized feed of news to the user. The system will model relationships between users, articles of news, and all the different topics that might affect people’s preferences by using GNNs, thus being able to understand how to gain connections and preferences in news consumption. The meta-learning principle will be taken advantage of in such a way that it can quickly adapt to changing preferences from individual users with a minimum amount of training data. It leads to a dynamic, efficient, and user- centered news recommendation platform that constantly learns on the fly and improves from user interactions.
Author: 1Sri Lakshmi N, 2Ganesh Relli, 3Madicharla suma, 4Chandana Deepika, 5Kaza yuvvesh
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7106316934
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