Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective

1st Edition

Arun Reddy Nelakurthi, Jingrui He

CRC Press
February 3, 2020 Forthcoming
Reference - 120 Pages - 25 B/W Illustrations
ISBN 9780367211585 - CAT# 302945
Series: Data-Enabled Engineering

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Summary

In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem.

Features:

  • Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity
  • Presents a detailed study of existing research
  • Provides convergence and complexity analysis of the frameworks
  • Includes algorithms to implement the proposed research work
  • Covers extensive empirical analysis

Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.

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