CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU.

Hao Li|Kenli Li|Ji-yao An|Keqin Li


Anthology ID:DBLP:conf/cikm/LiLAL18
Volume:Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
Year:2018
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:1113-1122
URL:https://doi.org/10.1145/3269206.3271749
DOI:https://doi.org/10.1145/3269206.3271749
DBLP:conf/cikm/LiLAL18
BibTeX:
@inproceedings{li-2018-cusntf, author = {Hao Li and Kenli Li and Ji-yao An and Keqin Li}, editor = {Alfredo Cuzzocrea and James Allan and Norman W. Paton and Divesh Srivastava and Rakesh Agrawal and Andrei Z. Broder and Mohammed J. Zaki and K. Sel\c{c}uk Candan and Alexandros Labrinidis and Assaf Schuster and Haixun Wang}, title = {{CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU}}, booktitle = {{Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018}}, pages = {1113--1122}, publisher = {ACM}, year = {2018}, url = {https://doi.org/10.1145/3269206.3271749}, doi = {https://doi.org/10.1145/3269206.3271749} }