Improve collaborative filtering through bordered block diagonal form matrices

By Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma. 2013

37 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yongfeng Zhang
2. Xu Chen
3. Min Zhang
4. Guokun Lai
5. Yiqun Liu
6. Shaoping Ma
7. Yi Zhang
8. Xiangnan He

Citations in the corpus

• Explicit factor models for explainable recommendation based on phrase-level sentiment analysis (2014, methodology): “Various MF algorithms have been proposed in different problem settings, such as Singular Value Decomposition (SVD) [14, 32], Non-negative Matrix Factorization (NMF) [15], Max-Margin Matrix Factorization (MMMF) [29], Probabilistic Matrix Factorization (PMF) [30], and Localized Matrix Factorization (L”
• Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables (2014, methodology): “For a better understanding of the conditions, we present the following two case studies utilizing the previously noted Yelp rating dataset and BDF structured matrices.”