Spatial-Temporal Aware Intelligent Service Recommendation Method Based on Distributed Tensor factorization for Big Data Applications

Spatial-Temporal Aware Intelligent Service Recommendation Method Based on Distributed Tensor factorization for Big Data Applications

With the dramatic growth of public cloud offerings and heterogeneous data information, how to discover potentially valuable information from big history behavior data and design intelligent recommendation techniques has become more and more important. Due to the dynamics of cloud environment, both u...

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Bibliographic Details
Main Authors: Shunmei Meng, Huihui Wang, Qianmu Li, Yun Luo, Wanchun Dou, Shaohua Wan
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Big data
FDAsy-SGD
recommendation
spatial
temporal
tensor factorization
Online Access:https://ieeexplore.ieee.org/document/8477007/

Internet

https://ieeexplore.ieee.org/document/8477007/

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