Spatio-Temporal Recommendation in Social Media 1

Data & IT

Spatio-Temporal Recommendation in Social Media

Hongzhi Yin • Bin Cui

Pocket

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114 sidor
2016

This book covers the major fundamentals of and the latest research on next-generation spatio-temporal recommendation systems in social media. It begins by describing the emerging characteristics of social media in the era of mobile internet, and explores the limitations to be found in current recommender techniques. The book subsequently presents a series of latent-class user models to simulate users behaviors in decision-making processes, which effectively overcome the challenges arising from temporal dynamics of users behaviors, user interest drift over geographical regions, data sparsity and cold start. Based on these well designed user models, the book develops effective multi-dimensional index structures such as Metric-Tree, and proposes efficient top-k retrieval algorithms to accelerate the process of online recommendation and support real-time recommendation. In addition, it offers methodologies and techniques for evaluating both the effectiveness and efficiency of spatio-temporal recommendation systems in social media. The book will appeal to a broad readership, from researchers and developers to undergraduate and graduate students.

Författare: Hongzhi Yin, Bin Cui
Illustratör: 20 schwarz-weiße Tabellen 6 schwarz-weiße und 20 farbige Abbildungen Bibliographie
Format: Pocket/Paperback
ISBN: 9789811007477
Språk: Engelska
Antal sidor: 114
Utgivningsdatum: 2016-05-25
Förlag: Springer Verlag, Singapore