04077nam a22006135i 4500 978-3-031-67758-8 DE-He213 20251030113051.0 cr nn 008mamaa 240918s2024 sz | s |||| 0|eng d 9783031677588 978-3-031-67758-8 10.1007/978-3-031-67758-8 doi HF5548.32-.33 KJE bicssc BUS090000 bisacsh KJE thema Wasilewski, Adam. author. aut http://id.loc.gov/vocabulary/relators/aut 84595 Multi-variant User Interfaces in E-commerce [electronic resource] : A Practical Approach to UI Personalization / by Adam Wasilewski. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XIV, 134 p. 44 illus., 33 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Progress in IS, 2196-8713 Chapter 1. Introduction to the Personalization in E-commerce -- Chapter 2. Recommendation System for Multi-variant E-commerce Interfaces -- Chapter 3. Analysis of Customer Behaviour -- Chapter 4. Designing and Serving a Dedicated Interface -- Chapter 5. Evaluation of a Multi-variant Interface Implementation. This book focuses on the personalisation of the user interface in e-commerce based on collected data on customer behaviour. While product recommendation systems are widely used for this purpose today, they do not allow for a comprehensive adaptation of the layout to different user groups. The proposed approach is based on the conclusion that since e-commerce customers are different, the user interface should also be different. To make this possible, several components need to be combined, which together allow the design of the online shop to be automatically or expertly adapted to the customer's choices and behaviour. It presents and discusses a framework that allows data to be collected, processed and used to optimise UI variants for generated customer segments. The proposed approach has been verified in practice and further developed on this basis, so that the reader is presented with a solution that is not riddled with 'baby age' problems, and the limitations and challenges identified are described and commented on in detail. Typical e-commerce systems currently have a single UI for all customers. The implementation of multi-variant UIs therefore represents an opportunity for companies to create a marketing advantage by addressing the personalisation trends in e-commerce. The book is intended for those responsible for developing e-commerce platform and user interfaces for web-based systems, as well as individuals interested in practical applications of machine learning in business. Electronic commerce. User interfaces (Computer systems). 64688 Human-computer interaction. 64854 Business information services. Artificial intelligence. 58441 Quantitative research. E-Business. 8649 User Interfaces and Human Computer Interaction. 66577 IT in Business. e-Commerce and e-Business. Artificial Intelligence. 58441 Data Analysis and Big Data. SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031677571 Printed edition: 9783031677595 Printed edition: 9783031677601 Progress in IS, 2196-8713 69747 https://doi.org/10.1007/978-3-031-67758-8 ZDB-2-BUM ZDB-2-SXBM 63509 63509