Spatio-Temporal Recommendation in Social Media

The book "Spatio-Temporal Recommendation in Social Media" provides a comprehensive analysis of the fundamentals and the latest research on spatio-temporal recommendation systems in social media. It highlights the evolving features of social media in the context of mobile internet and examines the limitations of existing recommendation approaches. By introducing latent class user models, it simulates user behavior in decision-making processes to address challenges such as temporal dynamics, shifts in interests across geographic regions, data scarcity, and the cold-start problem. The book also develops multidimensional index structures and efficient algorithms to accelerate the online recommendation process, supporting real-time recommendations. Additionally, methods for evaluating the effectiveness and efficiency of these systems are presented, making the book appealing to a wide audience of researchers and students.