探究广告文案生成中多样性与质量的关系。
Exploring the Relationship Between Diversity and Quality in Ad Text Generation
- 通过多维度实验分析多样性方法对广告质量的影响。
- 发现多样性提升未必提高广告效果，存在权衡关系。
- 适合广告生成、内容创作方向的研究者参考。
在广告文本生成中，生成多样且吸引人的广告文案对于吸引广泛受众和避免广告疲劳至关重要。尽管多样性很重要，但增强多样性的方法在摘要生成和机器翻译等任务中被广泛测试，其在广告文本生成中的影响尚未深入探讨。广告文本生成与这些任务有显著差异，体现在文本风格和需求上。本研究通过考虑多种因素，如多样性增强方法、超参数、输入输出格式及模型，探索了广告文本生成中多样性与广告质量之间的关系。
原文摘要 · Abstract (English)
In natural language generation for advertising, creating diverse and engaging ad texts is crucial for capturing a broad audience and avoiding advertising fatigue. Regardless of the importance of diversity, the impact of the diversity-enhancing methods in ad text generation -- mainly tested on tasks such as summarization and machine translation -- has not been thoroughly explored. Ad text generation significantly differs from these tasks owing to the text style and requirements. This research explores the relationship between diversity and ad quality in ad text generation by considering multiple factors, such as diversity-enhancing methods, their hyperparameters, input-output formats, and the models.
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