"Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy ..."

Yue He et al. (2021)

> Home

Details and statistics

DOI: 10.1145/3447548.3467205

access: closed

type: Conference or Workshop Paper

metadata version: 2023-02-17

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/kdd/HeDCJWLY21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/kdd/HeDCJWLY21
Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu:
Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. KDD 2021: 3002-3010

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.