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Spatio-Temporal Recommendation in Social Media
Angielski
154 b
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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.§
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