Documents

  • Kapcak2018

    Accepted author manuscript, 407 KB, PDF-document

Links

When a group is traveling together it is challenging to recommendan itinerary consisting of several points of interest (POIs). Thepreferences of individual group members often diverge, but it isimportant to keep everyone in the group satisfied during the entiretrip. We propose a method to consider the preferences of all thepeople in the group. Building on this method, we design expla-nations for groups of people, to help them reach a consensus forplaces to visit. However, one open question is how to best formu-late explanations for such sequences. In this paper, we introduceTourExplain, an automated crowdsourcing pipeline to generate andevaluate explanations for groups with the aim of improving ourinitial proposed explanations by relying on the wisdom of crowds.
Original languageEnglish
Title of host publicationProceedings of the Workshop on Recommenders in Tourism
EditorsJulia Neidhardt, Wolfgang Wörndl, Tsvi Kuflik, Markus Zanker
PublisherCEUR
Pages33-36
Number of pages4
Publication statusPublished - 2018
EventWorkshop on Recommenders in Tourism
co-located with the 12th ACM Conference on Recommender Systems (RecSys 2018)
- Vancouver, Canada
Duration: 7 Oct 20187 Oct 2018

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR
Volume2222
ISSN (Print)1613-0073

Workshop

WorkshopWorkshop on Recommenders in Tourism
co-located with the 12th ACM Conference on Recommender Systems (RecSys 2018)
CountryCanada
CityVancouver
Period7/10/187/10/18

    Research areas

  • Explanations, Crowdsourcing, Crowdworking, Group recommendation, Tourism, Sequences

ID: 47509328