Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
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...in [96] from a Bayesian point of view, which also proposed a probabilistic model for the hyper-parameters coupled with Markov Chain Monte-Carlo (MCMC) techniques for automated parameter tuning....
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35,161 citations
"Temporal Collaborative Filtering wi..." refers methods in this paper
...It demonstrates the effectiveness and efficiency of Bayesian methods and MCMC in real-world large-scale data mining tasks, and inspired our research....
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...An efficient MCMC procedure is proposed to realize automatic model averaging and largely eliminates the need for tuning parameters on large-scale data....
[...]
...Since the posterior is too complex to directly sample from, we apply a widelyused indirect sampling technique, Markov Chain Monte Carlo (MCMC) [14, 13, 8]....
[...]
...And for scalability, we develop an efficient Markov Chain Monte Carlo (MCMC) procedure for the learning process so that this algorithm can be scaled to problems like Netflix....
[...]
...There are quite a few different flavors of MCMC....
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30,570 citations
"Temporal Collaborative Filtering wi..." refers methods in this paper
...Based on the LSA, probabilistic LSA [9] was proposed to provide the probabilistic modeling, and further latent Dirichlet allocation (LDA) [4] provides a Bayesian treatment of the generative process....
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...Ahmed and Xing [1] added dynamic components to the LDA to track the evolution of topics in a text corpus....
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25,546 citations
19,748 citations
14,965 citations
"Temporal Collaborative Filtering wi..." refers methods in this paper
...It demonstrates the effectiveness and efficiency of Bayesian methods and MCMC in real-world large-scale data mining tasks, and inspired our research....
[...]
...An efficient MCMC procedure is proposed to realize automatic model averaging and largely eliminates the need for tuning parameters on large-scale data....
[...]
...Since the posterior is too complex to directly sample from, we apply a widelyused indirect sampling technique, Markov Chain Monte Carlo (MCMC) [14, 13, 8]....
[...]
...And for scalability, we develop an efficient Markov Chain Monte Carlo (MCMC) procedure for the learning process so that this algorithm can be scaled to problems like Netflix....
[...]
...There are quite a few different flavors of MCMC....
[...]