An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.

Zhaoxin Huan|Gongduo Zhang|Xiaolu Zhang|Jun Zhou|Qintong Wu|Lihong Gu|Jinjie Gu|Yong He|Yue Zhu|Linjian Mo


Anthology ID:DBLP:conf/sigir/HuanZZZWGGHZM22
Volume:SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
Year:2022
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:3403-3407
URL:https://doi.org/10.1145/3477495.3536332
DOI:https://doi.org/10.1145/3477495.3536332
DBLP:conf/sigir/HuanZZZWGGHZM22
BibTeX:
@inproceedings{huan-2022-industrial, author = {Zhaoxin Huan and Gongduo Zhang and Xiaolu Zhang and Jun Zhou and Qintong Wu and Lihong Gu and Jinjie Gu and Yong He and Yue Zhu and Linjian Mo}, editor = {Enrique Amig\'{o} and Pablo Castells and Julio Gonzalo and Ben Carterette and J. Shane Culpepper and Gabriella Kazai}, title = {{An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios}}, booktitle = {{SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022}}, pages = {3403--3407}, publisher = {ACM}, year = {2022}, url = {https://doi.org/10.1145/3477495.3536332}, doi = {https://doi.org/10.1145/3477495.3536332} }