Customer Clustering Based on Cooking Tendency Features Using ID-POS Data
-
- Ikegaya Kenta
- Graduate School of Commerce, Chuo University
-
- Namatame Takashi
- Graduate School of Commerce, Chuo University
Bibliographic Information
- Other Title
-
- ID付きPOSデータを用いた調理傾向特徴量に基づく 顧客クラスタリング
Abstract
<p>In this presentation, we use ID-POS data of food retail stores to create features that lead to prediction of cooking tendencies, and based on these features, we analyze the characteristics and preferences of customers in each group through clustering. In particular, we discuss the purchasing tendencies and characteristics of customers who are expected to cook for themselves and those who are expected to rarely cook for themselves.</p>
Journal
-
- Abstracts of Annual Conference of Japan Society for Management Information
-
Abstracts of Annual Conference of Japan Society for Management Information 202311 (0), 171-172, 2024-01-31
THE JAPAN SOCIETY FOR MANAGEMENT INFORMATION (JASMIN)
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390861936166421632
-
- Text Lang
- en
-
- Data Source
-
- JaLC
-
- Abstract License Flag
- Disallowed