CTOP combines retrieval-augmented style transfer with DPO weighted by CTR gain and AA-group confidence, achieving +4.76% relative CTR over human-written ad titles in online tests.
Natural Language Generation for Advertising: A Survey
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abstract
Natural language generation methods have emerged as effective tools to help advertisers increase the number of online advertisements they produce. This survey entails a review of the research trends on this topic over the past decade, from template-based to extractive and abstractive approaches using neural networks. Additionally, key challenges and directions revealed through the survey, including metric optimization, faithfulness, diversity, multimodality, and the development of benchmark datasets, are discussed.
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cs.IR 1years
2025 1verdicts
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CTR-Driven Ad Text Generation via Online Feedback Preference Optimization
CTOP combines retrieval-augmented style transfer with DPO weighted by CTR gain and AA-group confidence, achieving +4.76% relative CTR over human-written ad titles in online tests.