电子商务中的多变量用户界面：一种实用的UI个性化方法

English | 2024 | ISBN-10: 3031677579 | 148 pages| Epub PDF (True) | 24 MB

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.

英文| 2024 | ISBN-10:3031677579 | 148页| Epub PDF（真）| 24 MB 本书重点介绍基于收集到的客户行为数据的电子商务用户界面的个性化。虽然产品推荐系统今天被广泛用于这一目的，但它们不允许对布局进行全面的调整以适应不同的用户群体。所提出的方法基于这样一个结论，即由于电子商务客户不同，用户界面也应该不同。为了实现这一点，需要将几个组件组合在一起，使在线商店的设计能够自动或专业地适应客户的选择和行为。它提出并讨论了一个框架，该框架允许收集、处理数据并用于优化生成的客户细分的UI变体。所提出的方法在实践中得到了验证，并在此基础上得到了进一步发展，从而为读者提供了一个不存在“婴儿年龄”问题的解决方案，并详细描述和评论了所发现的局限性和挑战。典型的电子商务系统目前为所有客户提供一个单一的用户界面。因此，多变量用户界面的实施为公司提供了一个机会，通过应对电子商务中的个性化趋势来创造营销优势。

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