"ICE-DEN: A click-through rate prediction method based on interest ..."

Caixia Jing et al. (2022)

> Home

Details and statistics

DOI: 10.1016/J.KNOSYS.2022.109135

access: closed

type: Journal Article

metadata version: 2022-07-25

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/kbs/JingQSY22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/kbs/JingQSY22
Caixia Jing, Liqing Qiu, Chengai Sun, Qingyu Yang:
ICE-DEN: A click-through rate prediction method based on interest contribution extraction of dynamic attention intensity. Knowl. Based Syst. 250: 109135 (2022)

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.