Papers with user targeting model

1 papers
Don’t Miss the Potential Customers! Retrieving Similar Ads to Improve User Targeting (2021.findings-emnlp)

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Challenge: a method for user targeting is developed to identify online users to whom an ad should be targeted.
Approach: They propose a method for automatic augmentation of positive and negative clickthrough data for user targeting models.
Outcome: The proposed method can increase positive and negative instances of positive training instances on two datasets.

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