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

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 heterogeneityPresents a detailed study of existing researchProvides convergence and complexity analysis of the frameworksIncludes algorithms to implement the proposed research workCovers extensive empirical analysisSocial 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.