Search results
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Title
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Customer Loyalty Improvement Recommender System (CLIRS)
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Author
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Tarnowska, Katarzyna
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Date Created
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2018
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Subjects--Topical
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Computer science
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Description
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This dissertation presents a novel data-driven approach to solve the problem of improving customer loyalty and customer retention. The data mining concepts of action rules and meta actions are used to extract actionable knowledge from customer sur...
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Title
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Recommender System for Improving Churn Rate
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Author
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Duan, Yuehua
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Date Created
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2022
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Subjects--Topical
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Computer science
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Description
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Customer churn leads to higher customer acquisition cost, lower volume of service consumption and reduced product purchase. Reducing the outflow of the customers by 5% can double the profit of a typical company. Therefore, it is of significant value ...