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} }