2020
DOI: 10.1007/s40622-020-00261-7
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An inclusive survey on machine learning for CRM: a paradigm shift

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Cited by 15 publications
(8 citation statements)
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“…Therefore, analysts resort to DM and ML techniques as they can play a significant role in dealing with this massive amount of business data for supporting decision-making [6]. The application of ML techniques in business could bring a catalytic change in business [7]. A considerable number of studies investigate the application of ML techniques in BA [8][9][10][11][12][13][14][15][16][17].…”
Section: Literature Reviewmentioning
confidence: 99%
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“…Therefore, analysts resort to DM and ML techniques as they can play a significant role in dealing with this massive amount of business data for supporting decision-making [6]. The application of ML techniques in business could bring a catalytic change in business [7]. A considerable number of studies investigate the application of ML techniques in BA [8][9][10][11][12][13][14][15][16][17].…”
Section: Literature Reviewmentioning
confidence: 99%
“…A considerable number of studies investigate the application of ML techniques in BA [8][9][10][11][12][13][14][15][16][17]. In their study, Singh et al [7] stated that Decision tree-based algorithms and support vector machine algorithms are the most utilized supervised learning algorithm in Customer Relationship Management. These algorithms can be utilized for customer identification, customer attraction, and customer retention.…”
Section: Literature Reviewmentioning
confidence: 99%
“…∂logP(v) ∂w ij = v i h j Data − v i , h j model (10) Here, the contrastive divergence learning function is applied to train the information, and the network parameters are updated using Equation (11).…”
Section: E(mentioning
confidence: 99%
“…Many studies have argued that traditional machine learning models require considerable time and cannot discover patterns in ideal situations, especially in large chunks of real-world data with different sources and formats. Traditional artificial intelligence (AI) models cannot fully exploit the large volumes of data available in the modern world [8][9][10]. This indicates the importance of exploring new, advanced methods of predicting customer behavior.…”
Section: Introductionmentioning
confidence: 99%
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