Ebook: Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective (Data-Enabled Engineering)

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.