E-commerce Personalized Recommendations: a Deep Neural Collaborative Filtering Approach

Real-time data analytics has emerged as a transformative force in customer experience management, enabling organizations to process and respond to customer interactions instantaneously. This article presents a comprehensive framework for implementing real-time analytics in customer-centric business operations, examining both theoretical foundations and practical applications across multiple industries. Through systematic analysis of implementation strategies, technical architectures, and organizational challenges, this article illuminates the critical role of real-time analytics in enabling personalized customer experiences, dynamic pricing optimization, and predictive service delivery. The article synthesizes current industry practices while identifying key success factors and potential barriers in real-time analytics adoption. Findings indicate that organizations leveraging real-time analytics capabilities demonstrate enhanced customer satisfaction, improved operational efficiency, and strengthened competitive positioning. This article contributes to both theoretical understanding and practical implementation of real-time analytics in customer experience management, providing actionable insights for practitioners while identifying promising directions for future research. The article concludes with a structured framework for organizations seeking to implement or enhance their real-time analytics capabilities in pursuit of superior customer experience.

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Navigating the Social Media Maze

Singha

2024

Advances in Media, Entertainment, and the Arts

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Integrating digital marketing and social media is crucial for organizations to navigate the ever-changing global media environment. Amidst polarization, fragmentation, and convergence, marketers can utilize social media's potential to foster connections, increase brand recognition, and involve communities. Attainment requires manoeuvring through the digital environment, adjusting to shifting consumer preferences and imbibing novel ideas. Methods encompass data analytics to obtain valuable insights, develop engaging content experiences, and emphasize genuineness and adaptability. Anticipating forthcoming developments and adopting novel strategies will be essential for optimizing the influence of marketing efforts. In our interconnected world, social media marketing presents various opportunities and challenges that necessitate a strategic, audience-focused, and data-driven approach to achieve success.

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E-commerce Personalized Recommendations: a Deep Neural Collaborative Filtering Approach

Cited by 3 publications

References 34 publications

Multi-Granularity Attention Mechanism for Recommendation Systems Based on Item Descriptions and Reviews

Multi-Granularity Attention Mechanism for Recommendation Systems Based on Item Descriptions and Reviews

Real-Time Data Analytics in Customer Experience Management: A Framework for Digital Transformation and Business Intelligence

Navigating the Social Media Maze

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