RecTour 2016: Workshop on recommenders in tourism

Daniel R. Fesenmaier; Tsvi Kuflik; Julia Neidhardt

doi:10.1145/2959100.2959205

RecTour 2016: Workshop on recommenders in tourism

Daniel R. Fesenmaier, Tsvi Kuflik, Julia Neidhardt

Department of Information Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we summarize RecTour 2016 -a workshop on recommenders in tourism co-located with RecSys 2016. There was a great variety of submissions, i.e., research papers, demo papers and position papers, addressing fundamental challenges of recommender systems in the tourism domain. The main topics included group recommendations, context-aware recommenders, choice-based recommenders and event recommendations.

Original language	English
Title of host publication	RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems
Publisher	Association for Computing Machinery, Inc
Pages	417-418
Number of pages	2
ISBN (Electronic)	9781450340359
DOIs	https://doi.org/10.1145/2959100.2959205
State	Published - 7 Sep 2016
Event	10th ACM Conference on Recommender Systems, RecSys 2016 - Boston, United States Duration: 15 Sep 2016 → 19 Sep 2016

Publication series

Name	RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems

Conference

Conference	10th ACM Conference on Recommender Systems, RecSys 2016
Country/Territory	United States
City	Boston
Period	15/09/16 → 19/09/16

Keywords

Decision context
Discrete choice models, mobile systems
Group decisions
On-the-go decisions
Tourism recommenders

ASJC Scopus subject areas

Control and Systems Engineering
Hardware and Architecture
Computer Networks and Communications

Access to Document

10.1145/2959100.2959205

Cite this

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title = "RecTour 2016: Workshop on recommenders in tourism",

abstract = "In this paper, we summarize RecTour 2016 -a workshop on recommenders in tourism co-located with RecSys 2016. There was a great variety of submissions, i.e., research papers, demo papers and position papers, addressing fundamental challenges of recommender systems in the tourism domain. The main topics included group recommendations, context-aware recommenders, choice-based recommenders and event recommendations.",

keywords = "Decision context, Discrete choice models, mobile systems, Group decisions, On-the-go decisions, Tourism recommenders",

author = "Fesenmaier, {Daniel R.} and Tsvi Kuflik and Julia Neidhardt",

year = "2016",

month = sep,

day = "7",

doi = "10.1145/2959100.2959205",

language = "English",

series = "RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems",

publisher = "Association for Computing Machinery, Inc",

pages = "417--418",

booktitle = "RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems",

note = "10th ACM Conference on Recommender Systems, RecSys 2016 ; Conference date: 15-09-2016 Through 19-09-2016",

}

Fesenmaier, DR, Kuflik, T & Neidhardt, J 2016, RecTour 2016: Workshop on recommenders in tourism. in RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems. RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems, Association for Computing Machinery, Inc, pp. 417-418, 10th ACM Conference on Recommender Systems, RecSys 2016, Boston, United States, 15/09/16. https://doi.org/10.1145/2959100.2959205

RecTour 2016: Workshop on recommenders in tourism. / Fesenmaier, Daniel R.; Kuflik, Tsvi; Neidhardt, Julia.
RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems. Association for Computing Machinery, Inc, 2016. p. 417-418 (RecSys 2016 - Proceedings of the 10th ACM Conference on Recommender Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this paper, we summarize RecTour 2016 -a workshop on recommenders in tourism co-located with RecSys 2016. There was a great variety of submissions, i.e., research papers, demo papers and position papers, addressing fundamental challenges of recommender systems in the tourism domain. The main topics included group recommendations, context-aware recommenders, choice-based recommenders and event recommendations.

KW - Decision context

KW - Discrete choice models, mobile systems

KW - Group decisions

KW - On-the-go decisions

KW - Tourism recommenders

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M3 - Conference contribution

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PB - Association for Computing Machinery, Inc

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RecTour 2016: Workshop on recommenders in tourism

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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