Utilizing Core-Query for Context-Sensitive Ad Generation Based on Dialogue

Ryoichi Shibata, Shoya Matsumori, Yosuke Fukuchi, Tomoyuki Maekawa, Mitsuhiko Kimoto, Michita Imai

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

In this work, we present a system that sequentially generates advertisements within the context of a dialogue. Advertisements tailored to the user have long been displayed on the digital signage in stores, on web pages, and on smartphone applications. Advertisements will work more effectively if they are aware of the context of the dialogue between the users. Creating an advertising sentence as a query and searching the web by using that query is one way to present a variety of advertisements, but there is currently no method to create an appropriate search query for the search in accordance with the dialogue context. Therefore, we developed a method called the Conversational Context-sensitive Advertisement generator (CoCoA). The novelty of CoCoA is that advertisers simply need to prepare a few abstract phrases, called Core-Queries, and then CoCoA dynamically transforms the Core-Queries into complete search queries in accordance with the dialogue context. Here, "transforms"means to add words related to the context in the dialogue to the prepared Core-Queries. The transformation is enabled by a masked word prediction technique that predicts a word that is hidden in a sentence. Our attempt is the first to apply masked word prediction to a web information retrieval framework that takes into account the dialogue context. We asked users to evaluate the search query presented by CoCoA against the dialogue text of multiple domains prepared in advance and found that CoCoA could present more contextual and effective advertisements than Google Suggest or a method without the query transformation. In addition, we found that CoCoA generated high-quality advertisements that advertisers had not expected when they created the Core-Queries.

本文言語English
ホスト出版物のタイトル27th International Conference on Intelligent User Interfaces, IUI 2022
出版社Association for Computing Machinery
ページ734-745
ページ数12
ISBN(電子版)9781450391443
DOI
出版ステータスPublished - 2022 3月 22
イベント27th International Conference on Intelligent User Interfaces, IUI 2022 - Virtual, Online, Finland
継続期間: 2022 3月 222022 3月 25

出版物シリーズ

名前International Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference27th International Conference on Intelligent User Interfaces, IUI 2022
国/地域Finland
CityVirtual, Online
Period22/3/2222/3/25

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用

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