NLP-Based Customer Loyalty Improvement Recommender System (CLIRS2)

Customer Loyalty

The purpose of the research is to find out the impact of economic recession on customer loyalty to banks in the UK. This aim has been reached using methods of statistical analysis and through investigation of primary and secondary data. The methods of analysis that were implemented in the research included regression and correlation analysis of variance as well as chi-square tests. The data has...

Customer Loyalty

Visual analysis of relevant features in Customer Loyalty Improvement Recommendation

This chapter describes a practical area of application of decision reducts to a real-life business problem. It presents a feature selection (attribute reduction) methodology based on the decision reducts theory, which is supported by a designed and developed visualization system. The chapter overviews an application area Customer Loyalty Improvement Recommendation, which has become a very popul...

The New Physics of Customer Loyalty Manage Customer Migration Based on the Loyalty Profile of Your Customer Base

Customer Value Hierarchy Based Customer Demand Analysis in Personalized Service Recommender System

Recommender systems are powerful tools for promoting marketing in the mobile industry. An effective recommender system can help boost the mobile service provider’s marketing by finding potential customers and recommend customers to engage additional services that are not originally engaged. Based on the background of the mobile industry, this paper proposes the framework and process of a mobile...