Skip to content

The pytorch implementation of "Automatically Discovering User Consumption Intents in Meituan" (KDD'22)

License

Notifications You must be signed in to change notification settings

yf-li15/AutoIntent

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 

Repository files navigation

AutoIntent

This is the pytorch implementation of our KDD'22 paper:

Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li, Automatically Discovering User Consumption Intents in Meituan, In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'22).

Environment: Pytorch == 1.12.1 and Python >= 3.6.8.

If you use our codes in your research, please cite:

@inproceedings{li2022automatically,
  title={Automatically Discovering User Consumption Intents in Meituan},
  author={Li, Yinfeng and Gao, Chen and Du, Xiaoyi and Wei, Huazhou and Luo, Hengliang and Jin, Depeng and Li, Yong},
  booktitle={Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  pages={3259--3269},
  year={2022}
}

About

The pytorch implementation of "Automatically Discovering User Consumption Intents in Meituan" (KDD'22)

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published