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Register a new userAn Empirical Study of Generating Texts for Search Engine Advertising
دراسة تجريبية لتوليد النصوص لإعلان محرك البحث
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على الرغم من وجود العديد من الدراسات حول توليد اللغة العصبية (NLG)، إلا أن القليل من التجارب يتم وضعها في العالم الحقيقي، وخاصة في مجال الإعلان.يمكن أن تساعد توليد الإعلانات مع نماذج NLG في تصفيات الأوجه في إنشائها.ومع ذلك، قامت دراسات قليلة بتقييم تأثير الإعلانات التي تم إنشاؤها بشكل كاف مع وجود خدمة فعلية مضمنة لأنها تتطلب كمية كبيرة من بيانات التدريب وبيئة معينة.في هذه الورقة، نوضح حالة الاستخدام العملي لتوليد نص الإعلان بنموذج NLG.خصيصا، نعرض كيفية تحسين تأثير الإعلانات، ونشر النماذج إلى منتج، وتقييم الإعلانات التي تم إنشاؤها.
Although there are many studies on neural language generation (NLG), few trials are put into the real world, especially in the advertising domain. Generating ads with NLG models can help copywriters in their creation. However, few studies have adequately evaluated the effect of generated ads with actual serving included because it requires a large amount of training data and a particular environment. In this paper, we demonstrate a practical use case of generating ad-text with an NLG model. Specially, we show how to improve the ads' impact, deploy models to a product, and evaluate the generated ads.
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