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Optimizing Product Order Presentation

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

Abstract

In recent years, e-Commerce sales have risen and reached all-time highs. There is great significance in the order in which products are shown on e-Commerce websites. In this paper, we study a model in which a user is shown products sequentially and can either buy a product or proceed to the next one. We present an algorithm for ordering the products in such a way as to maximize the expected profit for the seller. We present the results of experiments conducted through the Mechanical Turk, which compares the order produced by our algorithm with other orders. The experiments show that our algorithm is significantly better than a naive ordering by price, and then a random order.

Original languageEnglish
Title of host publicationProceedings - 2025 IEEE 37th International Conference on Tools with Artificial Intelligence, ICTAI 2025
PublisherIEEE Computer Society
Pages383-388
Number of pages6
ISBN (Electronic)9798331549190
DOIs
StatePublished - 2025
Event37th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2025 - Athens, Greece
Duration: 3 Nov 20255 Nov 2025

Publication series

NameProceedings - International Conference on Tools with Artificial Intelligence, ICTAI
ISSN (Print)1082-3409

Conference

Conference37th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2025
Country/TerritoryGreece
CityAthens
Period3/11/255/11/25

Keywords

  • Experimentation
  • Ordering effects
  • Sequential Search
  • e-Commerce

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