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Journal of the American Statistical Association Volume 111, 2016 - Issue 513
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Theory and Methods

Personalized Prediction and Sparsity Pursuit in Latent Factor Models

Yunzhang Zhu
,
Xiaotong Shen
&
Changqing Ye
Pages 241-252 | Received 01 Jul 2013, Published online: 05 May 2016

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Shujie Ma, Po-Yao Niu, Yichong Zhang & Yinchu Zhu. (2024) Statistical Inference For Noisy Matrix Completion Incorporating Auxiliary Information. Journal of the American Statistical Association 0:0, pages 1-13.
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Xiwei Tang & Lexin Li. (2023) Multivariate Temporal Point Process Regression. Journal of the American Statistical Association 118:542, pages 830-845.
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Jingnan Zhang, Xin He & Junhui Wang. (2022) Directed Community Detection With Network Embedding. Journal of the American Statistical Association 117:540, pages 1809-1819.
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Yunxiao Chen, Xiaoou Li & Siliang Zhang. (2020) Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications. Journal of the American Statistical Association 115:532, pages 1756-1770.
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Yu Wang, Xuan Bi & Annie Qu. (2020) A Logistic Factorization Model for Recommender Systems With Multinomial Responses. Journal of Computational and Graphical Statistics 29:2, pages 396-404.
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Xiaojun Mao, Song Xi Chen & Raymond K. W. Wong. (2019) Matrix Completion With Covariate Information. Journal of the American Statistical Association 114:525, pages 198-210.
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Xuan Bi, Annie Qu, Junhui Wang & Xiaotong Shen. (2017) A Group-Specific Recommender System. Journal of the American Statistical Association 112:519, pages 1344-1353.
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Jing Meng, Long Feng, Changliang Zou & Zhaojun Wang. (2023) Covariate-Assisted Matrix Completion with Multiple Structural Breaks. Journal of Systems Science and Complexity 37:2, pages 692-728.
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Yinan Zhang, Pei Wang, Congcong Liu, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin & Jingping Shao. (2023) BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation. BI-GCN: Bilateral Interactive Graph Convolutional Network for Recommendation.
Minsung Hong & Jason J. Jung. (2022) Sentiment aware tensor model for multi-criteria recommendation. Applied Intelligence 52:13, pages 15006-15025.
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Y Chen & X Li. (2022) Determining the number of factors in high-dimensional generalized latent factor models. Biometrika 109:3, pages 769-782.
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Yoav Bergner, Peter Halpin & Jill-Jênn Vie. (2021) Multidimensional Item Response Theory in the Style of Collaborative Filtering. Psychometrika 87:1, pages 266-288.
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Ruipeng Dong, Daoji Li & Zemin Zheng. (2021) Parallel integrative learning for large-scale multi-response regression with incomplete outcomes. Computational Statistics & Data Analysis 160, pages 107243.
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Xuan Bi, Xiwei Tang, Yubai Yuan, Yanqing Zhang & Annie Qu. (2021) Tensors in Statistics. Annual Review of Statistics and Its Application 8:1, pages 345-368.
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Gemma E. Moran, Veronika Ročková & Edward I. George. (2021) Spike-and-slab Lasso biclustering. The Annals of Applied Statistics 15:1.
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Chengkun Zhang, Junbin Gao & Steven Lu. (2020) Cluster Developing 1-Bit Matrix Completion. Cluster Developing 1-Bit Matrix Completion.
Ming Yu, Varun Gupta & Mladen Kolar. (2020) Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach. Electronic Journal of Statistics 14:1.
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Xiaofeng Liao, Hu Wu & Yongji Wang. (2020) Ant Collaborative Filtering Addressing Sparsity and Temporal Effects. IEEE Access 8, pages 32783-32791.
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Shuang Song, Chaofeng Yuan & Weijun Ma. 2020. International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019. International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019 1641 1645 .
Yang Weng, Lei Wu & Wenxing Hong. (2018) Bayesian Inference via Variational Approximation for Collaborative Filtering. Neural Processing Letters 49:3, pages 1041-1054.
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Xuan Bi, Annie Qu & Xiaotong Shen. (2018) Multilayer tensor factorization with applications to recommender systems. The Annals of Statistics 46:6B.
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