Recommender system for improving customer loyalty. ([2020])

• Record Type: Book
• Further Information: Note: Katarzyna Tarnowska, Zbigniew W. Ras, Lynn Daniel.
• Authors: Tarnowska, Katarzyna A; Raś, Zbigniew; Daniel, Lynn
• Contents: Chapter 1: Introduction.- Chapter 2: Customer Loyalty Improvement.- Chapter 3: State of the Art.- Chapter 4: Background.- Chapter 5: Overview of Recommender System Engine.- Chapter 6: Visual Data Analysis.- Chapter 7: Improving Performance of Knowledge Miner.- Chapter 8: Recommender System Based on Unstructured Data.- Chapter 9: Customer Attrition Problem.- Chapter 10: Conclusion.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2020
• Extent: 1 online resource (xviii, 124 pages), illustrations (some color)
• Subjects: 005.5/6; Recommender systems (Information filtering); Customer loyalty; Electronic books
• Languages: English
• ISBNs: 9783030134389; 3030134385
• Related ISBNs: 9783030134372
• Notes: Note: Includes bibliographical references.; Note: Online resource; title from PDF title page (SpringerLink, viewed March 29, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.