ArticleArabian journal for science and engineering2023
A Hybrid Method for Customer Segmentation in Saudi Arabia Restaurants Using Clustering, Neural Networks and Optimization Learning Techniques.
Article in Arabian journal for science and engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Identifying highly-valued bank customers with current accounts based on the frequency and amount of transactions.Heliyon · 2024Article
- Fractal feature selection model for enhancing high-dimensional biological problems.BMC bioinformatics · 2024Article
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1 author.
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Abstract
Dining out is one of the biggest expenditures for travelers worldwide and is essential for tourism-dependent destinations. Market segmentation gives industries the potential to classify similar customers and categorize their preferred target markets to ensure marketing expenses' operative management. It has been a practical approach for business improvement in tourism and hospitality. Big data are fundamentally changing the management of the hospitality sector and the relationship between the customer and business by simplifying the decision-making process based on large amounts of data. The data provided in social media have played an important role in customer segmentation. In fact, the data provided by the customers in social media have been a valuable source for decision-makers to precisely discover the customers' satisfaction dimensions on their services. Therefore, there is a need for the development of data-driven approaches for social data analysis for customers segmentation. This research aims to develop a new data-driven approach to reveal customers' satisfaction in restaurants. Specifically,
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