Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective (Data-Enabled Engineering)
by Arun Reddy Nelakurthi, Jingrui He
This work presents a focused exploration of social media analytics for modeling user behavior, adopting a task heterogeneity perspective within data-enabled engineering. It addresses the nuances of diverse tasks in user interactions, offering strategies to build robust models from heterogeneous data sources. Ideal for researchers and practitioners in data science and analytics.
About This Book
Social Media Analytics for User Behavior Modeling examines the complexities of analyzing user behaviors on social platforms from a task heterogeneity perspective.
The book delves into methodologies that account for varied tasks in data collection and analysis, enhancing the accuracy of behavior models.
As part of the Data-Enabled Engineering series, it highlights practical applications in leveraging heterogeneous data for improved insights.
Authors Arun Reddy Nelakurthi and Jingrui He offer a structured approach to tackling the challenges of diverse user tasks in social media environments.
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