<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Multi-variant User Interfaces in E-commerce</title>
    <subTitle>A Practical Approach to UI Personalization</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Wasilewski, Adam.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
    <role>
      <roleTerm type="text">author.</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">aut</roleTerm>
    </role>
    <role>
      <roleTerm authority="marcrelator" type="code">http://id.loc.gov/vocabulary/relators/aut</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>SpringerLink (Online service)</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">sz</placeTerm>
    </place>
    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <form authority="gmd">electronic resource</form>
    <reformattingQuality>access</reformattingQuality>
    <extent>XIV, 134 p. 44 illus., 33 illus. in color. online resource.</extent>
  </physicalDescription>
  <abstract>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.</abstract>
  <tableOfContents>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.</tableOfContents>
  <note type="statement of responsibility">by Adam Wasilewski.</note>
  <subject authority="lcsh">
    <topic>Electronic commerce</topic>
  </subject>
  <subject authority="lcsh">
    <topic>User interfaces (Computer systems)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Human-computer interaction</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business information services</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Quantitative research</topic>
  </subject>
  <subject>
    <topic>E-Business</topic>
  </subject>
  <subject>
    <topic>User Interfaces and Human Computer Interaction</topic>
  </subject>
  <subject>
    <topic>IT in Business</topic>
  </subject>
  <subject>
    <topic>e-Commerce and e-Business</topic>
  </subject>
  <subject>
    <topic>Artificial Intelligence</topic>
  </subject>
  <subject>
    <topic>Data Analysis and Big Data</topic>
  </subject>
  <classification authority="lcc">HF5548.32-.33</classification>
  <relatedItem type="host">
    <titleInfo>
      <title>Springer Nature eBook</title>
    </titleInfo>
  </relatedItem>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="otherFormat" displayLabel="Printed edition:"/>
  <relatedItem type="series">
    <titleInfo>
      <title>Progress in IS</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9783031677588</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-3-031-67758-8</identifier>
  <location>
    <url>https://doi.org/10.1007/978-3-031-67758-8</url>
  </location>
  <recordInfo>
    <recordCreationDate encoding="marc">240918</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251030113051.0</recordChangeDate>
    <recordIdentifier source="DE-He213">978-3-031-67758-8</recordIdentifier>
  </recordInfo>
</mods>
