Machine Learning Approach to Classification of Online Users by Exploiting Information Seeking Behavior

Machine Learning Approach to Classification of Online Users by Exploiting Information Seeking Behavior

In today’s world, technology has engulfed the internet with an excessive amount of unfiltered, spontaneous, and incessant data from multiple sources. Complex algorithms are designed to present information effectively based on user intent. The online experience of users is a combination of...

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Bibliographic Details
Main Authors: Moona Kanwal, Muzammil Ahmad Khan, Najma Ismat, Najeed A. Khan, Aftab A. Khan
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
User intent
cluster
browsing preference
information sharing
user behavior
search reasons
Online Access:https://ieeexplore.ieee.org/document/10486928/

Internet

https://ieeexplore.ieee.org/document/10486928/

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