研究者詳細 - 山口　景子

論文 - 山口　景子

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A Novel Approach to Analyze Fashion Digital Library from Humanities 査読有り

Takahashi Satoshi, Yamaguchi Keiko, Watanabe Asuka

TOWARDS OPEN AND TRUSTWORTHY DIGITAL SOCIETIES, ICADL 2021 13133 巻頁： 179 - 194 2021年

担当区分：責任著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Fashion styles adopted every day are an important aspect of culture, and style trend analysis helps provide a deeper understanding of our societies and cultures. To analyze everyday fashion trends from the humanities perspective, we need a digital archive that includes images of what people wore in their daily lives over an extended period. In fashion research, building digital fashion image archives has attracted significant attention. However, the existing archives are not suitable for retrieving everyday fashion trends. In addition, to interpret how the trends emerge, we need non-fashion data sources relevant to why and how people choose fashion. In this study, we created a new fashion image archive called Chronicle Archive of Tokyo Street Fashion (CAT STREET) based on a review of the limitations in the existing digital fashion archives. CAT STREET includes images showing the clothing people wore in their daily lives during the period 1970–2017, which contain timestamps and street location annotations. We applied machine learning to CAT STREET and found two types of fashion trend patterns. Then, we demonstrated how magazine archives help us interpret how trend patterns emerge. These empirical analyses show our approach’s potential to discover new perspectives to promote an understanding of our societies and cultures through fashion embedded in consumers’ daily lives.

DOI： 10.1007/978-3-030-91669-5_15

Web of Science

Scopus

Bayesian network analysis of fashion behavior 査読有り

Yamaguchi K., Kumakura H.

Studies in Classification, Data Analysis, and Knowledge Organization 頁： 399 - 411 2020年

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：Studies in Classification, Data Analysis, and Knowledge Organization

Fashion behavior, i.e., consumer behavior with regard to choosing, purchasing, and wearing clothing, is diverse and intricate because it springs from consumers’ complicated contexts. It is important for those in the fashion industry to understand the full picture of fashion behavior, find ways to sustain their customers’ interest in fashion, and promote their products appropriately. However, as far as we know, there has been little comprehensive research on the diverse and intricate chain reactions involved in fashion behavior. In light of this gap in our understanding, the aim of this research is to describe consumer fashion behavior holistically using a Bayesian network approach with actual business data. We train four types of Bayesian network with different constraints, finding that different types of network are best suited to describing the behavior of men and women. Then, we validate the theoretical consistency of the selected networks by comparing their results with the findings of previous studies. In this paper, we mainly focus on fashion-related problems and consumer impulse buying behavior because of space limitations. In addition to these academic contributions, we demonstrate how businesses could apply Bayesian networks in describing fashion behavior, allowing marketers to use sensitivity analysis to devise potential marketing campaigns and change their customers’ behavior.

DOI： 10.1007/978-981-15-3311-2_32

Scopus

買い物目的を考慮した店舗選択行動モデル構築に向けての諸問題

山口景子

オペレーションズ・リサーチ：経営の科学 63 巻 ( 4 ) 頁： 243-245 2018年4月

Analyzing antecedent factors of cognitive dissonance using e-commerce data 査読有り

Keiko Yamaguchi　Makoto Abe

Advances in Consumer Research 44 巻頁： 369-374 2016年10月

消費者の心理状態の変化を考慮した動的モデルによる購買量分析査読有り

山口景子

マーケティング・サイエンス 23 巻 ( 1 ) 頁： 61-78 2015年7月

頻度の時間変化を考慮した階層ベイズモデルによるウェブサイト訪問行動の分析査読有り

山口景子

マーケティング・サイエンス 22 巻 ( 1 ) 頁： 13-29 2014年3月

支払い方法選択行動分析による"高価値"顧客の発掘査読有り

山口景子, 中島上智, 岡賢一

オペレーションズ・リサーチ：経営の科学 51 巻 ( 2 ) 頁： 81-88 2006年2月

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