Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection

Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection

A method for estimating interest levels from behavior features via tensor completion including adaptive similar user selection is presented in this paper. The proposed method focuses on a tensor that is suitable for data containing multiple contexts and constructs a third-order tensor in which three...

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Bibliographic Details
Main Authors: Keisuke Maeda, Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Interest level estimation
behavior feature
similar user selection
tensor completion
missing value estimation
Online Access:https://ieeexplore.ieee.org/document/9136656/

Internet

https://ieeexplore.ieee.org/document/9136656/

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