Towards Privacy-Preserving Evaluation for Information Retrieval Models Over Industry Data Sets.
Peilin Yang|Mianwei Zhou|Yi Chang|Chengxiang Zhai|Hui Fang
| Anthology ID: | DBLP:conf/airs/YangZCZ017 |
|---|---|
| Volume: | Information Retrieval Technology - 13th Asia Information Retrieval Societies Conference, AIRS 2017, Jeju Island, South Korea, November 22-24, 2017, Proceedings |
| Year: | 2017 |
| Venue: | Asia Information Retrieval Symposium (AIRS) |
| Publisher: | Springer |
| Pages: | 210-221 |
| URL: | https://doi.org/10.1007/978-3-319-70145-5_16 |
| DOI: | https://doi.org/10.1007/978-3-319-70145-5_16 |
| DBLP: | conf/airs/YangZCZ017 |
| BibTeX: |
@inproceedings{yang-2017-towards,
author = {Peilin Yang and
Mianwei Zhou and
Yi Chang and
Chengxiang Zhai and
Hui Fang},
editor = {Won-Kyung Sung and
Hanmin Jung and
Shuo Xu and
Krisana Chinnasarn and
Kazutoshi Sumiya and
Jeonghoon Lee and
Zhicheng Dou and
Grace Hui Yang and
Young-Guk Ha and
Seungbock Lee},
title = {{Towards Privacy-Preserving Evaluation for Information Retrieval Models Over Industry Data Sets}},
booktitle = {{Information Retrieval Technology - 13th Asia Information Retrieval Societies Conference, AIRS 2017, Jeju Island, South Korea, November 22-24, 2017, Proceedings}},
series = {Lecture Notes in Computer Science},
volume = {10648},
pages = {210--221},
publisher = {Springer},
year = {2017},
url = {https://doi.org/10.1007/978-3-319-70145-5_16},
doi = {https://doi.org/10.1007/978-3-319-70145-5_16}
}