[2N1-GS-4] Web intelligence:

[2N1-GS-4-04] Title Generating for Listing Ads with Prompt Taking into Account Seasonality

〇Yu Yonemochi¹, Tomoki Hoshino², Chihiro Iwai², Kosuke Kawakami², Ryutaro Ichise¹ (1. Tokyo Institute of Technology, 2. HAKUHODO Technologies Inc.)

Keywords:Advertisement Generation, Keyword Selection, Large Language Model

Creating effective ad texts is an important task to increase conversions. Creating many excellent ad texts requires much money, and in order for ad texts to receive high impressions, they should be attractive. Therefore, there is demand to obtain many attractive ad texts while reducing the cost of creating, and research has been conducted on automatic generation. Conventional methods generate ad texts by summarizing the Web information of the ad targets. It was found that impressions of the ad texts generated by the conventional method varied depending on the time of year. This study proposes a method for generating ad texts that are appropriate for the desired time period by including time-series information in the ad texts, according to the advertiser's desired time period. The ad texts generated by the proposed method were evaluated more highly in terms of attractiveness than those generated by the conventional method.