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Multilayer tensor factorization with applications to recommender systems
Xuan Bi
, Annie Qu,
Xiaotong Shen
Information and Decision Sciences
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
39
Scopus citations
Overview
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Keyphrases
Recommender Systems
100%
Tensor Factorization
100%
Marketing Information
33%
Multiple Modes
33%
Electronic Commerce
33%
Information Integration
33%
Scalable Computation
33%
Innovative Methods
33%
Parameter Estimation
33%
Point Convergence
33%
Latent Factors
33%
Between-subject
33%
Improvement Strategies
33%
Algorithmic Properties
33%
Business Intelligence
33%
Group Information
33%
Block Coordinate Descent
33%
Product Sales
33%
Personalized Recommendation
33%
Electronic Entertainment
33%
Maximum Block Improvement
33%
Local Convergence
33%
Entertainment Industry
33%
Coordinate Descent Algorithm
33%
Efficient Recommendation
33%
Asymptotic Consistency
33%
Tensor Response
33%
Recommendation Engine
33%
Subject-dependency
33%
Individualized Prediction
33%
New Customers
33%
Engineering
Estimated Parameter
100%
Numerical Study
100%
Cold Start
100%
Improvement Strategies
100%
Latent Factor
100%
Initial Point
100%
Asymptotic Consistency
100%
Subgroup
100%
Mathematics
Tensor
100%
Factorization
100%
Asymptotics
50%
Numerical Analysis
50%
Initial Point
50%
Local Convergence
50%
Estimated Parameter
50%
Latent Factor
50%
Response Tensor
50%
Subgroup
50%
Computer Science
Recommender Systems
100%
Business Intelligence
33%
Recommendation Engine
33%
Response Tensor
33%
Electronic Commerce
33%