大竹 恒平

Otake Kohei

  • 助教
  • 学位:博士(工学)

基本情報

所属

  • Undergraduate School of Information and Telecommunication Engineering / Department of Management Systems Engineering
  • Graduate School of Information and Telecommunication Engineering / Course of Information and Telecommunication Engineering

ジャンル

  • Advertising And Promotion
  • Marketing

研究と関連するSDGs

  • Industry, Innovation and Infrastructure

詳細情報

研究分野

  • Humanities & social sciences Commerce
  • Social infrastructure (civil Engineering, architecture, disaster prevention) Social systems engineering

論文

Comparison of the Purchasing Behavior for Oneself or Other Using Eye Tracking Gaze Data

Analysis of the Exposing Media Pattern that Affect Accessing Own Website

A Study on the Similarity of Fashion Brands Using Consumer Relationship and Consumer Sense

Analysis of Fashion Market Trend Using Advertising Data of Shopping Information Site

Analysis of Consumer Community Structure and Characteristic Within Social Media

Proposal of Loyal Customer Discriminant Model Based on RFM Concept —Empirical Analysis using Golf EC Site Data—

Analysis of Consumer Community Structure within Social Media -A Case Study of Competing Brands in Japanese Fashion Market-

Analysis of the Relation Between Price Range, Location and Reputation in Japanese Hotels

Analysis of Characteristics of Golf Course Using User Review at Golf Portal Site

Extraction of Product Features from Customer’s Perspective Using User Review at the Golf EC Site

Analysis of Review Text on a Golf Course Reservation Site

Reciprocal Customer Transfer Analysis at Golf Course Reservation Service and Golf Goods EC Site

Analysis of the Characteristics of Customer Defection on a Hair Salon Considering Individual Differences

Customer Preference and Latent Needs Analysis Using Data of TV Viewing and Web Browsing

Analysis of the Characteristic Behavior of Loyal Customers on a Golf EC Site

Study on the Relationship Between Loyalty Program and Consumer Behavior on EC Site

Construction of Support System for Demand Driven Design of Cocktail Recipes by Deep Learning

Purchase and Its Sign Analysis from Customer Behaviors Using Deep Convolutional Neural Networks

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Inquiries about coverage or research

Inquiries about coverage

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