EAN: 9789811007477

SPRINGERBRIEFS IN COMPUTER SCIENCE SPATIO-TEM...

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.

Aktuelle Preise zur EAN 9789811007477

Produktinformationen zur 9789811007477