Nonnegative matrix tri-factorization with user similarity for clustering in point-of-interest.

MLA

Hu, Liang, et al. “Nonnegative Matrix Tri-Factorization with User Similarity for Clustering in Point-of-Interest.” Neurocomputing, vol. 363, Oct. 2019, pp. 58–65. EBSCOhost, https://doi.org/10.1016/j.neucom.2019.07.040.

APA

Hu, L., Xing, Y., Gong, Y., Zhao, K., & Wang, F. (2019). Nonnegative matrix tri-factorization with user similarity for clustering in point-of-interest. Neurocomputing, 363, 58–65. https://doi.org/10.1016/j.neucom.2019.07.040

Chicago

Hu, Liang, Yongheng Xing, Yanlei Gong, Kuo Zhao, and Feng Wang. 2019. “Nonnegative Matrix Tri-Factorization with User Similarity for Clustering in Point-of-Interest.” Neurocomputing 363 (October): 58–65. doi:10.1016/j.neucom.2019.07.040.