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Titlebook: Multi-variant User Interfaces in E-commerce; A Practical Approach Adam Wasilewski Book 2024 The Editor(s) (if applicable) and The Author(s)

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發(fā)表于 2025-3-21 17:06:41 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Multi-variant User Interfaces in E-commerce
副標(biāo)題A Practical Approach
編輯Adam Wasilewski
視頻videohttp://file.papertrans.cn/643/642361/642361.mp4
概述Offers complete solution architecture for serving multi-variant UIs in e-commerce.Demonstrates potential advantages of multi-variant personalization in optimising online shop layouts.Discusses challen
叢書名稱Progress in IS
圖書封面Titlebook: Multi-variant User Interfaces in E-commerce; A Practical Approach Adam Wasilewski Book 2024 The Editor(s) (if applicable) and The Author(s)
描述.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 c
出版日期Book 2024
關(guān)鍵詞E-commerce; User Interface; Personalization; Machine Learning; Clustering; User Experience; Big Data Analy
版次1
doihttps://doi.org/10.1007/978-3-031-67758-8
isbn_softcover978-3-031-67760-1
isbn_ebook978-3-031-67758-8Series ISSN 2196-8705 Series E-ISSN 2196-8713
issn_series 2196-8705
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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https://doi.org/10.1007/978-3-031-67758-8E-commerce; User Interface; Personalization; Machine Learning; Clustering; User Experience; Big Data Analy
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978-3-031-67760-1The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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Multi-variant User Interfaces in E-commerce978-3-031-67758-8Series ISSN 2196-8705 Series E-ISSN 2196-8713
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2196-8705 lization in optimising online shop layouts.Discusses challen.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
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