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A Logistic Factorization Model for Recommender Systems With Multinomial Responses
Yu Wang,
Xuan Bi
, Annie Qu
Information and Decision Sciences
Research output
:
Contribution to journal
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Article
›
peer-review
2
Scopus citations
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Dive into the research topics of 'A Logistic Factorization Model for Recommender Systems With Multinomial Responses'. Together they form a unique fingerprint.
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Mathematics
Recommender Systems
100%
Logistics
61%
Factorization
49%
Categorical
28%
Collaborative Filtering
25%
Boltzmann Machine
23%
Matrix Completion
20%
Mutually exclusive
20%
Multinomial Model
20%
Model
19%
Factor Models
19%
Logistic Model
17%
Singular value decomposition
16%
Compatibility
15%
Covariates
12%
Regression
11%
Simulation
9%
Business & Economics
Recommender Systems
78%
Logistics
46%
Rating
43%
Latent Factors
39%
Singular Value Decomposition
26%
Latent Factor Models
23%
Collaborative Filtering
21%
Logistic Model
17%
Compatibility
15%
Covariates
15%
Matrix
13%
Simulation
10%