S-HOT: Scalable High-Order Tucker Decomposition.
Jinoh Oh|Kijung Shin|Evangelos E. Papalexakis|Christos Faloutsos|Hwanjo Yu
| Anthology ID: | DBLP:conf/wsdm/OhSPFY17 |
|---|---|
| Volume: | Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017 |
| Year: | 2017 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 761-770 |
| URL: | https://doi.org/10.1145/3018661.3018721 |
| DOI: | https://doi.org/10.1145/3018661.3018721 |
| DBLP: | conf/wsdm/OhSPFY17 |
| BibTeX: |
@inproceedings{oh-2017-shot,
author = {Jinoh Oh and
Kijung Shin and
Evangelos E. Papalexakis and
Christos Faloutsos and
Hwanjo Yu},
editor = {Maarten de Rijke and
Milad Shokouhi and
Andrew Tomkins and
Min Zhang},
title = {{S-HOT: Scalable High-Order Tucker Decomposition}},
booktitle = {{Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017}},
pages = {761--770},
publisher = {ACM},
year = {2017},
url = {https://doi.org/10.1145/3018661.3018721},
doi = {https://doi.org/10.1145/3018661.3018721}
}