Spatio-temporal Recommendation in Social Media

In this book, Dr. Yin guides us through the world of spatio-temporal recommendation in social media. He first describes the emerging characteristics of social media in the era of mobile internet, and explores the limitations seen in current recommender techniques. Then, he presents a series of latent-class user models to simulate users’ behaviors in a process of decision making, which effectively overcome the challenges arising from temporal dynamics of user s’ behaviors, user interest drift over geographical regions, data sparsity and cold start. Based on these well designed user models, he builds effective multi-dimensional index structures such as Metric-Tree, and develops efficient top-k retrieval algorithms to speed up the process of online recommendation and support real-time recommendation. Besides, he also offers methodologies and techniques for evaluating both the effectiveness and efficiency of spatio-temporal recommendation in social media. His book thus brings all the related concepts, models and algorithms together to form an authoritative and coherent text. 

Dr. Hongzhi Yin has been a Research Fellow in the School of Information Technology and Electrical Engineering (ITEE), at The University of Queensland (UQ), since September 2014, and he received his PhD degree from Peking University in July 2014. His research interests include Recommender System and User Modeling, Social Media Mining and Management, Location-based Social Network Analysis and Spatial Database. Due to his great contributions to recommendation in social media, he was granted the Distinguished Doctor Degree Thesis Award of Peking University in 2014. Besides, he held the honors of outstanding graduate from Beijing provincial government of P.R. China. He was the winner of the National Scholarship from Ministry of Education of P.R. China in 2008 as well as the winner of National Graduate Scholarship from Ministry of Education of P.R. China in 2013. Dr. Yin has published 16 related peer-reviewed publications in prestigious journals and conferences of the database, data mining and information system fields, including SIGMOD, VLDB, KDD, ICDE, TOIS (ACM Transactions on Information Systems) and TKDD (Transactions on Knowledge Discovery from Data). He has served in the Technical Program Committee of various international conferences including WISE 2015, APWEB 2015, DEXA 2015 and ALLDATA 2015. He has also serve as invited reviewers for several prestigious journals such as IEEE Transactions on Systems, Man and Cybernetics and IEEE Transactions on Cloud Computing, Journal of Image and Vision Computing and Journal of Software.