First in search - How to optimize search results in e-commerce web shops

Gerald Petz, Andreas Greiner

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

2 Citations (Scopus)

Abstract

Customers of e-commerce web sites frequently use the full text search to find the desired products. The ranking of the search result page depends on various criteria such as the matching of search terms or popularity of the product. E-commerce vendors usually use additional ranking criteria and may want to increase conversion rates by varying the rankings of the search hits. This paper proposes a method to measure the impact of changing the ranking of the search result page. The method is applied to a b2b e-commerce shop with office products.

Original languageEnglish
Title of host publicationHCI in Business - First International Conference, HCIB 2014, Held as Part of HCI International 2014, Proceedings
PublisherSpringer Verlag
Pages566-574
Number of pages9
ISBN (Print)9783319072920
DOIs
Publication statusPublished - 2014
Event1st International Conference on HCI in Business, HCIB 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014 - Heraklion, Crete, Greece
Duration: 22 Jun 201427 Jun 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8527 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on HCI in Business, HCIB 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014
CountryGreece
CityHeraklion, Crete
Period22.06.201427.06.2014

Keywords

  • A/B-testing
  • conversion
  • e-commerce
  • measurement
  • ranking
  • search result page
  • web shop

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