TourExplain

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TourExplain

A Crowdsourcing Pipeline for Generating Explanations for Groups of Tourists

Conference Paper (2018)

Author(s)

Öykü Kapcak (Student TU Delft)

Simone Spagnoli (Student TU Delft)

Vincent Robbemond (Student TU Delft)

Soumitri Vadali (Student TU Delft)

Shabnam Najafian (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Nava Tintarev (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group

Web Information Systems

Crowdsourcing Group recommendation Explanations Sequences Tourism Crowdworking

URL related publication

http://ceur-ws.org/Vol-2222/

To reference this document use

https://resolver.tudelft.nl/uuid:e1e7e6b9-fefd-4c0f-af66-38d35eca3ac4

More Info

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Publication Year

2018

Language

English

Research Group

Web Information Systems

Bibliographical Note

Accepted author manuscript

Pages (from-to)

33-36

Event

Workshop on Recommenders in Tourism<br/>co-located with the 12th ACM Conference on Recommender Systems (RecSys 2018) (2018-10-07 - 2018-10-07), Vancouver, Canada

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155

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Abstract

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.