Using textual summaries to describe a set of products

Kittipitch Kuptavanich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
4 Downloads (Pure)

Abstract

When customers are faced with the task of making a purchase in an unfamiliar product domain, it might be useful to provide them with an overview of the product set to help them understand what they can expect. In this paper we present and evaluate a method to summarise sets of products in natural language, focusing on the price range, common product features across the set, and product features that impact on price. In our study, participants reported that they found our summaries useful, but we found no evidence that the summaries influenced the selections made by participants.
Original languageEnglish
Title of host publicationRecSys '18
Subtitle of host publicationProceedings of the 12th ACM Conference on Recommender Systems
PublisherACM
Pages563-567
Number of pages5
ISBN (Print)978-1-4503-5901-6
DOIs
Publication statusPublished - 27 Sep 2018
Event12th ACM Conference on Recommender Systems - Vancouver, Canada
Duration: 2 Oct 20182 Oct 2018

Conference

Conference12th ACM Conference on Recommender Systems
Abbreviated titleRecSys '18
CountryCanada
CityVancouver
Period2/10/182/10/18

Keywords

  • NLG
  • recommender system

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