- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Automatic Translation feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Marketing Database augmentation and fusion using deep learning
-
- YAMAGATA Tomohiro
- FIND.INC Waseda University
-
- TOMINO Nagakazu
- FIND.INC Waseda University
-
- KAWAI Takashi
- Waseda University
-
- BANCHI Yoshihiro
- Waseda University
-
- HOSHINO Takahiro
- Keio University
Bibliographic Information
- Other Title
-
- 深層学習を用いたマーケティングデータベース拡張・統合技術の検討
Description
<p>The authors have proposed and being conducting a method for adapting deep learning-based data augmentation and fusion to human-factors / ergonomic data. In this study, we have experimentally examined the adaptation of our proposed method to questionnaire and behavioral data used for marketing purposes. The results showed that augmentation and fusion of two different marketing databases (questionnaire and behavioral log data) using GAN had effects of improving the prediction accuracy of specific target variables (e.g. purchased products).</p>
Journal
-
- Proceedings of the Annual Conference of JSAI
-
Proceedings of the Annual Conference of JSAI JSAI2022 (0), 2P4GS1003-2P4GS1003, 2022
The Japanese Society for Artificial Intelligence
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390855656045571968
-
- ISSN
- 27587347
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
-
- Abstract License Flag
- Disallowed