Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"MULABS: Multi-Task Learning with Attention-Based Scoring for Click-Through ..."

Tu Tu et al. (2022)

> Home

Details and statistics

DOI: 10.1109/BIBM55620.2022.9995650

access: closed

type: Conference or Workshop Paper

metadata version: 2023-01-12

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bibm/TuZWJH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bibm/TuZWJH22
Tu Tu, Jing Zhang, Yue Wang, Hui Jin, Megan Weihong He:
MULABS: Multi-Task Learning with Attention-Based Scoring for Click-Through Rate Prediction on Sparse Data in Healthcare Real-World Scenarios. BIBM 2022: 3890-3892

a service of

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.