Machine learning based customer meta-combination brand equity analysis for marketing behavior evaluation

Article Business

Social Media Marketing and Brand Loyalty Among Online Shoppers in Anambra State, Nigeria: Mediating Effect of Brand Awareness

Ebuka Christian Ezenwafor et al.

Summary: This study investigates the mediating effect of brand awareness on social media marketing and brand loyalty, finding that social media marketing has a predictive effect on brand awareness and brand loyalty, with brand awareness mediating the relationship between social media marketing and brand loyalty. Organizations should strategize and harness the potential of growing social media and SMM based on these findings.

JOURNAL OF ELECTRONIC COMMERCE IN ORGANIZATIONS (2021)

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Article Computer Science, Artificial Intelligence

Research on real estate pricing methods based on data mining and machine learning

Yanliang Yu et al.

Summary: This paper investigates the actual utility of real estate pricing models based on data mining and machine learning. By introducing appropriate trend estimation methods and adjusting pricing models, a real estate pricing model based on quadratic exponential smoothing time-varying trend estimation was established. Segmentation processing was done on the pricing model according to the index cycle, resulting in a model with good performance and practical effects.

NEURAL COMPUTING & APPLICATIONS (2021)

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Article Computer Science, Artificial Intelligence

An intelligent optimization method of E-commerce product marketing

Fang Cui et al.

Summary: This paper constructs an e-commerce product marketing model based on machine learning algorithms, proposes improved Q-learning and Interval-Q algorithms, and introduces a DQN model based on dual networks in direct marketing scenarios. The precision marketing model constructed in the study has shown promising results and practical applicability.

NEURAL COMPUTING & APPLICATIONS (2021)

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Article Computer Science, Artificial Intelligence

EEG-Based classification of branded and unbranded stimuli associating with smartphone products: comparison of several machine learning algorithms

Abdurrahman Ozbeyaz

Summary: Neurocomputing research has recently made a significant contribution to branding psychology by investigating consumer decisions for a branded stimulus using advanced machine learning algorithms. This study utilized a four-stage methodology to classify EEG signals, achieving high classification accuracy. Results showed that using PCA in feature extraction, ABC in channel selection, and ANN in classification yielded the best classification performance.

NEURAL COMPUTING & APPLICATIONS (2021)

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Article Computer Science, Information Systems

Heterogeneous type-specific entity representation learning for recommendations in e-commerce network

Jianxing Zheng et al.

Summary: This paper proposes an attentional attribute and interaction method and constructs a type-specific matrix to learn user and item representations using heterogeneous type-specific information. The approach not only addresses the sparsity problem of user-item interactions in recommender systems but also predicts the rating relationship of the nodes through a translation mechanism.

INFORMATION PROCESSING & MANAGEMENT (2021)

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Article Psychology, Multidisciplinary