[HTML][HTML] Collaborative topic regression for online recommender systems: an online and Bayesian approach
Abstract Collaborative Topic Regression (CTR) combines ideas of probabilistic matrix
factorization (PMF) and topic modeling (such as LDA) for recommender systems, which has …
factorization (PMF) and topic modeling (such as LDA) for recommender systems, which has …
[PDF][PDF] Collaborative Topic Regression for Online Recommender Systems: An Online and Bayesian Approach
C Liu, T Jin, SCH Hoi, P Zhao, J Sun - mysmu.edu
Abstract Collaborative Topic Regression (CTR) combines ideas of probabilistic matrix
factorization (PMF) and topic modeling (eg, LDA) for recommender systems, which has …
factorization (PMF) and topic modeling (eg, LDA) for recommender systems, which has …
Collaborative topic regression for online recommender systems: an online and Bayesian approach
C Liu, T Jin, SC Hoi, P Zhao, J Sun - Machine Learning, 2017 - dl.acm.org
Collaborative Topic Regression (CTR) combines ideas of probabilistic matrix factorization
(PMF) and topic modeling (such as LDA) for recommender systems, which has gained …
(PMF) and topic modeling (such as LDA) for recommender systems, which has gained …
Collaborative topic regression for online recommender systems: an online and Bayesian approach
C Liu, T Jin, SCH Hoi, P Zhao, J Sun - Machine Learning, 2017 - infona.pl
Collaborative Topic Regression (CTR) combines ideas of probabilistic matrix factorization
(PMF) and topic modeling (such as LDA) for recommender systems, which has gained …
(PMF) and topic modeling (such as LDA) for recommender systems, which has gained …
Collaborative topic regression for online recommender systems: an online and Bayesian approach
C Liu, T Jin, C Steven, H Hoi, P Zhao… - Machine Learning, 2017 - search.proquest.com
Abstract Collaborative Topic Regression (CTR) combines ideas of probabilistic matrix
factorization (PMF) and topic modeling (such as LDA) for recommender systems, which has …
factorization (PMF) and topic modeling (such as LDA) for recommender systems, which has …
Collaborative topic regression for online recommender systems: An online and Bayesian approach
C LIU, T JIN, SCH HOI, P ZHAO, J SUN - Machine Learning, 2017 - ink.library.smu.edu.sg
Abstract Collaborative Topic Regression (CTR) combines ideas of probabilistic matrix
factorization (PMF) and topic modeling (such as LDA) for recommender systems, which has …
factorization (PMF) and topic modeling (such as LDA) for recommender systems, which has …
Collaborative topic regression for online recommender systems: an online and Bayesian approach.
C Liu, T Jin, S Hoi, P Zhao, J Sun - Machine Learning, 2017 - search.ebscohost.com
Abstract Collaborative Topic Regression (CTR) combines ideas of probabilistic matrix
factorization (PMF) and topic modeling (such as LDA) for recommender systems, which has …
factorization (PMF) and topic modeling (such as LDA) for recommender systems, which has …
[PDF][PDF] Collaborative Topic Regression for Online Recommender Systems: An Online and Bayesian Approach
C Liu, T Jin, SCH Hoi, P Zhao, J Sun - mysmu.edu.sg
Abstract Collaborative Topic Regression (CTR) combines ideas of probabilistic matrix
factorization (PMF) and topic modeling (eg, LDA) for recommender systems, which has …
factorization (PMF) and topic modeling (eg, LDA) for recommender systems, which has …
[PDF][PDF] Collaborative topic regression for online recommender systems: An online and Bayesian approach.(2017)
C LIU, T JIN, SCH HOI, P ZHAO, J SUN - Machine Learning - ink.library.smu.edu.sg
Abstract Collaborative Topic Regression (CTR) combines ideas of probabilistic matrix
factorization (PMF) and topic modeling (eg, LDA) for recommender systems, which has …
factorization (PMF) and topic modeling (eg, LDA) for recommender systems, which has …