Wide & Deep Learning in Job Recommendation: An Empirical Study.
Shaoyun Shi|Min Zhang|Hongyu Lu|Yiqun Liu|Shaoping Ma
| Anthology ID: | DBLP:conf/airs/ShiZLLM17 |
|---|---|
| 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: | 112-124 |
| URL: | https://doi.org/10.1007/978-3-319-70145-5_9 |
| DOI: | https://doi.org/10.1007/978-3-319-70145-5_9 |
| DBLP: | conf/airs/ShiZLLM17 |
| BibTeX: |
@inproceedings{shi-2017-wide,
author = {Shaoyun Shi and
Min Zhang and
Hongyu Lu and
Yiqun Liu and
Shaoping Ma},
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 = {{Wide & Deep Learning in Job Recommendation: An Empirical Study}},
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 = {112--124},
publisher = {Springer},
year = {2017},
url = {https://doi.org/10.1007/978-3-319-70145-5_9},
doi = {https://doi.org/10.1007/978-3-319-70145-5_9}
}