Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising.
Penghui WeiWeimin ZhangRuijie HouJinquan LiuShaoguo LiuLiang WangBo ZhengPublished in: SIGIR (2022)
Keyphrases
- posterior probability
- online advertising
- bayesian networks
- user behavior
- bayesian framework
- probability distribution
- behavioral targeting
- generative model
- display advertising
- probabilistic model
- user experience
- probability density function
- conditional probabilities
- advertising campaigns
- sponsored search
- random variables
- internet advertising
- machine learning