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Multi-variant user interfaces in e-c...

Wasilewski, Adam.

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Multi-variant user interfaces in e-commerce = a practical approach to UI personalization /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Multi-variant user interfaces in e-commerce/ by Adam Wasilewski.
Reminder of title:	a practical approach to UI personalization /
Author:	Wasilewski, Adam.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xiv, 134 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	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
Subject:	User interfaces (Computer systems) -
Online resource:	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-commercea 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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520 $a 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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