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-learningtechniques, to provide a customized feed of news to the user. The system will model relationships between users, articles ofnews, and all the different topics that might affect people’s preferences by using GNNs, thus being able to understand howto gain connections and preferences in news consumption. The meta-learning principle will be taken advantage of in sucha way that it can quickly adapt to changing preferences from individual users with a minimum amount of training data. Itleads to a dynamic, efficient, and user- centered news recommendation platform that constantly learns on the fly andimproves from user interactions.
Author: Sri Lakshmi N
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893370168
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