Decision tree based targeting model of customer interaction with business page

Lipyanina, Hrystyna; Sachenko, Anatoliy; Lendyuk, Taras; Nadvynychny, Serhiy; Grodskyi, Sergii

doi:10.32782/cmis/2608-75

Cited by 19 publications

(12 citation statements)

References 11 publications

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“…Decision trees use a dichotomous tree constructed from nodes, and subdivides the population into groups based on variables [23]. The best possible division is selected until further separation is impossible.…”

Section: Resultsmentioning

confidence: 99%

Data Analytics Application in Fashion Retail SMEs (A Case Study in Caracas Fashion Store)

Surabani

Rodriguez

2023

IJITCSA

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Data analytics plays a paramount role in maximizing productivity and profitability for businesses by deriving insights from pre-existing data to predict market trends and client habits to make better business decisions. In accordance with Industrial Revolution 4.0, most SMEs have begun to implement an e-commerce business model, thus, customer data is generated at an exponential rate, allowing SMEs to further develop their services for greater user satisfaction. However, the abundance of unsorted and ambiguous data leads to issues such as server overload and inefficient customer sales cycle tracking. This paper will explain the application of data analytics techniques and architectures to overcome these issues in a fashion retail SME, as well as the benefits and drawbacks of these solutions.

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Section: Resultsmentioning

confidence: 99%

Data Analytics Application in Fashion Retail SMEs (A Case Study in Caracas Fashion Store)

Surabani

Rodriguez

2023

IJITCSA

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“…As we all know, there is a relational network positioning based on users and business relationships on Facebook, which helps enterprises “establish relationships” with users through their home pages, applications, or activities. Enterprises can match or shield relationship types according to their goals, so that advertisements can be targeted accurately [ 33 ].…”

Section: Analysis and Findingmentioning

confidence: 99%

Research on Competition and Cooperation Relationship of TV-Drama Production Company Based on Social Network

Zhao

Song

Xu³

2022

Computational Intelligence and Neuroscience

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The social network is affecting the connection of TV-drama production companies, and traditional partnerships are changing. Many companies are moving from traditional connections to gridded social networks. The changing relational network makes the relationship between TV-drama production companies change from linear and static to network and dynamic, and from the original cooperation based on “Contract” to the node-type cooperation of “Switch.” Through empirical study, the paper found that the social network relationship in the TV series production industry has become an essential social capital because the construction of social networks will effectively promote the development of the industry under the new competition and make TV-drama industry production chain, creative resources, and value derived channel, resource boundary and cooperation mechanism, and market competition pattern change. Ultimately, it will reshape the subject cognition, path cognition, and power cognition in the relationship network.

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“…− найбільшу взаємодію з відео рекламою Facebook «Комп'ютерні науки ТНЕУ» мали особи чоловічої статті у віковій категорії 18-25, 35-55 [7];…”

Section: таблиця 2 формування контенту реклами відносно згенерованих ...unclassified

“…− найбільшу взаємодію з бізнес сторінкою Facebook «Комп'ютерні науки ТНЕУ» мали клієнти чоловічої статті та жіночої статті у віковій категорії 40-55 [8]. З таблиці 3 видно, що всі варіанти нової реклами дали покращені результати.…”

Section: таблиця 2 формування контенту реклами відносно згенерованих ...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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Decision tree based targeting model of customer interaction with business page

Cited by 19 publications

References 11 publications

Data Analytics Application in Fashion Retail SMEs (A Case Study in Caracas Fashion Store)

Data Analytics Application in Fashion Retail SMEs (A Case Study in Caracas Fashion Store)

Research on Competition and Cooperation Relationship of TV-Drama Production Company Based on Social Network

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

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