Interest Level Estimation Based on Tensor Completion via Feature Integration for Partially Paired User’s Behavior and Videos

Interest Level Estimation Based on Tensor Completion via Feature Integration for Partially Paired User’s Behavior and Videos

A novel method for interest level estimation based on tensor completion via feature integration for partially paired users' behavior and videos is presented in this paper. The proposed method defines a novel canonical correlation analysis (CCA) framework that is suitable for interest level esti...

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Bibliographic Details
Main Authors: Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Feature integration
S2LPCCA
user behavior
interest level estimation
tensor completion
Online Access:https://ieeexplore.ieee.org/document/8865065/

Internet

https://ieeexplore.ieee.org/document/8865065/

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