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CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. (arXiv:2205.08943v1 [cs.CL])
May 19, 2022, 1:11 a.m. | Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng
cs.CL updates on arXiv.org arxiv.org
This paper focuses on automatically generating the text of an ad, and the
goal is that the generated text can capture user interest for achieving higher
click-through rate (CTR). We propose CREATER, a CTR-driven advertising text
generation approach, to generate ad texts based on high-quality user reviews.
To incorporate CTR objective, our model learns from online A/B test data with
contrastive learning, which encourages the model to generate ad texts that
obtain higher CTR. To alleviate the low-resource issue, we …
advertising arxiv fine-tuning generation pre-training text text generation training
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