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

Saito, Retsuya; Otake, Kohei; Namatame, Takashi

doi:10.1007/978-3-030-49576-3_28

Cited by 2 publications

(2 citation statements)

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“…In [17] the study analyzed the various needs of customers, focusing on online advertising based on methods of classification, segmentation and clustering. In [16] the model of selection of the optimal amount of advertising on various Internet resources is analyzed in order to achieve the desired coverage of the target audience.…”

Section: Related Workmentioning

confidence: 99%

Method of Forming the Context of Advertising and Target Audience based on Associative Rules Learning

Lipianina-Honcharenko¹,

Lendyuk²,

Sachenko³

et al. 2022

Computer Modeling and Intelligent Systems

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Section: Related Workmentioning

confidence: 99%

Method of Forming the Context of Advertising and Target Audience based on Associative Rules Learning

Lipianina-Honcharenko¹,

Lendyuk²,

Sachenko³

et al. 2022

Computer Modeling and Intelligent Systems

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“…У [17] дослідженні проаналізовано різноманітні потреби клієнтів, зосередившись на інтернетрекламі на основі методів класифікації, сегментування та кластеризації. У роботі [16] проаналізовано модель підбору оптимальної кількості реклами на різних інтернет-ресурсах, щоб максимально досягти бажаного охоплення цільової аудиторії. Також, розглянуто метод багатокритерії оптимізації з визначенням отриманої об'єктивної функції, що дозволяє одночасно розглядати різні аспекти проблем вибору засобів масової інформації та оптимального бюджетування та бюджетного розподілу.…”

Section: постановка проблеми у загальному вигляді та її зв'язок із ва...unclassified

Method of Forming the Context of Advertising and Target Audience Based on Associative Rules Learning

Lipyanina-Goncharenko¹,

Komar²,

Sachenko³

et al. 2022

Herald KhmNU.TS

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Nowadays, important mechanisms of study are content and techniques of its creation, the problem of influencing the target audience, which itself seeks to shape communication processes. Internet content occupies a position of powerful communication technology, which continues to grow rapidly and gain influence. Creating a large number of advertisements, especially texts, is extremely expensive. Therefore, it is worth considering how generate these texts automatically. In this regard, it is possible to assume that the development of a method of forming the context of advertising and target audience based on learning associative rules is relevant and can increase the effectiveness of advertising, and thus reduce the cost of online advertising of higher education institutions. The input data used a survey of students majoring in Computer Science, regarding admission. The 152 students took part in the survey and answered 10 questions. The experimental results confirmed, the proposed method enabled to increase the effectiveness of advertising on social networks at least in 23%, and reduce the price in 90%.

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

Cited by 2 publications

References 1 publication

Method of Forming the Context of Advertising and Target Audience based on Associative Rules Learning

Method of Forming the Context of Advertising and Target Audience based on Associative Rules Learning

Method of Forming the Context of Advertising and Target Audience Based on Associative Rules Learning

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