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Multi-variant user interfaces in e-c...
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Wasilewski, Adam.
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Multi-variant user interfaces in e-commerce = a practical approach to UI personalization /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Multi-variant user interfaces in e-commerce/ by Adam Wasilewski.
其他題名:
a practical approach to UI personalization /
作者:
Wasilewski, Adam.
出版者:
Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:
xiv, 134 p. :ill. (chiefly color), digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
User interfaces (Computer systems) -
電子資源:
https://doi.org/10.1007/978-3-031-67758-8
ISBN:
9783031677588
Multi-variant user interfaces in e-commerce = a practical approach to UI personalization /
Wasilewski, Adam.
Multi-variant user interfaces in e-commerce
a practical approach to UI personalization /[electronic resource] :by Adam Wasilewski. - Cham :Springer Nature Switzerland :2024. - xiv, 134 p. :ill. (chiefly color), digital ;24 cm. - Progress in IS,2196-8713. - Progress in IS..
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.
ISBN: 9783031677588
Standard No.: 10.1007/978-3-031-67758-8doiSubjects--Topical Terms:
539550
User interfaces (Computer systems)
LC Class. No.: QA76.9.U83
Dewey Class. No.: 005.437
Multi-variant user interfaces in e-commerce = a practical approach to UI personalization /
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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.
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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.
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