Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation.
Kai Wang|Hao Li|Linxia Gong|Jianrong Tao|Runze Wu|Changjie Fan|Liang Chen|Peng Cui
| Anthology ID: | DBLP:conf/cikm/WangLGTWFCC20 |
|---|---|
| Volume: | CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020 |
| Year: | 2020 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2781-2788 |
| URL: | https://doi.org/10.1145/3340531.3412727 |
| DOI: | https://doi.org/10.1145/3340531.3412727 |
| DBLP: | conf/cikm/WangLGTWFCC20 |
| BibTeX: |
@inproceedings{wang-2020-match,
author = {Kai Wang and
Hao Li and
Linxia Gong and
Jianrong Tao and
Runze Wu and
Changjie Fan and
Liang Chen and
Peng Cui},
editor = {Mathieu d'Aquin and
Stefan Dietze and
Claudia Hauff and
Edward Curry and
Philippe Cudr\'{e}-Mauroux},
title = {{Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation}},
booktitle = {{CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020}},
pages = {2781--2788},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3340531.3412727},
doi = {https://doi.org/10.1145/3340531.3412727}
}