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 language | English |
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Title of host publication | RecSys '18 |
Subtitle of host publication | Proceedings of the 12th ACM Conference on Recommender Systems |
Publisher | ACM |
Pages | 563-567 |
Number of pages | 5 |
ISBN (Print) | 978-1-4503-5901-6 |
DOIs | |
Publication status | Published - 27 Sept 2018 |
Event | 12th ACM Conference on Recommender Systems - Vancouver, Canada Duration: 2 Oct 2018 → 2 Oct 2018 |
Conference
Conference | 12th ACM Conference on Recommender Systems |
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Abbreviated title | RecSys '18 |
Country/Territory | Canada |
City | Vancouver |
Period | 2/10/18 → 2/10/18 |
Bibliographical note
https://www.acm.org/publications/policies/copyright-policy#definitive%20versionsKeywords
- NLG
- recommender system