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Constrained co-embedding model for user profiling in question answering communities

In this paper, we study the problem of user profiling in question answering communities. We address the problem by proposing a …

Yupeng Luo, Shangsong Liang, Zaiqiao Meng

Dynamic collaborative recurrent learning

In this paper, we provide a unified learning algorithm, dynamic collaborative recurrent learning, DCRL, of two directions of …

Teng Xiao, Shangsong Liang, Zaiqiao Meng

Dynamic bayesian metric learning for personalized product search

In this paper, we study the problem of personalized product search under streaming scenarios. We address the problem by proposing a …

Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang

Hierarchical neural variational model for personalized sequential recommendation

In this paper, we study the problem of recommending personalized items to users given their sequential behaviors. Most sequential …

Teng Xiao, Shangsong Liang, Zaiqiao Meng

Semi-supervisedly co-embedding attributed networks

Deep generative models (DGMs) have achieved remarkable advances. Semi-supervised variational auto-encoders (SVAE) as a classical DGM …

Zaiqiao Meng, Shangsong Liang, Jinyuan Fang, Teng Xiao

Bayesian deep collaborative matrix factorization

In this paper, we propose a Bayesian Deep Collaborative Matrix Factorization (BDCMF) algorithm for collaborative filtering (CF). BDCMF …

Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng

Co-embedding Attributed Networks

Existing embedding methods for attributed networks aim at learning low-dimensional vector representations for nodes only but not for …

Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang