abstract

Picture-based Approach to Group Recommender Systems in the E-Tourism Domain

Author:

Amra DelicAuthors Info & Claims

UMAP '16: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization

Pages 337 - 340

https://doi.org/10.1145/2930238.2930368

Published: 13 July 2016 Publication History

Abstract

This PhD research aims to integrate group decision making into a personality based recommender systems in a domain with complex and emotional products i.e., e-tourism domain. In this domain, decisions, especially in groups, are often non rational. Based on the ongoing research on picture-based recommender systems at the e-commerce group, TU Wien and the software of Pixtri OG, the research will develop new methods to model group recommendations and support emotion-aware group decision processes, based on and evaluated by a world-wide study.

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Cited By

Egger R(2023)Vectorize Me! A Proposed Machine Learning Approach for Segmenting the Multi-optional TouristJournal of Travel Research10.1177/0047287523118316263:5(1043-1069)Online publication date: 18-Aug-2023
https://doi.org/10.1177/00472875231183162
Korzun DBalandina EKashevnik ABalandin SViola F(2019)Profiling and Personalization in Internet of Things EnvironmentsAmbient Intelligence Services in IoT Environments10.4018/978-1-5225-8973-0.ch004(89-110)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-8973-0.ch004
Delic ANeidhardt JNguyen TRicci F(2018)An observational user study for group recommender systems in the tourism domainInformation Technology & Tourism10.1007/s40558-018-0106-y19:1-4(87-116)Online publication date: 19-Feb-2018
https://doi.org/10.1007/s40558-018-0106-y
Show More Cited By

Index Terms

Picture-based Approach to Group Recommender Systems in the E-Tourism Domain
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Recommender systems

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cover image ACM Conferences

UMAP '16: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization

July 2016

366 pages

ISBN:9781450343688

DOI:10.1145/2930238

General Chairs:
Julita Vassileva
University of Saskatchewan, Canada
,
James Blustein
Dalhousie University, Canada
,
Program Chairs:
Lora Aroyo
VU Amsterdam, the Netherlands
,
Sidney D'Mello
University of Notre Dame, USA

Copyright © 2016 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 13 July 2016

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UMAP '16

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UMAP '16: User Modeling, Adaptation and Personalization Conference

July 13 - 17, 2016

Nova Scotia, Halifax, Canada

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UMAP '16 Paper Acceptance Rate 21 of 123 submissions, 17%;

Overall Acceptance Rate 162 of 633 submissions, 26%

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Cited By

Egger R(2023)Vectorize Me! A Proposed Machine Learning Approach for Segmenting the Multi-optional TouristJournal of Travel Research10.1177/0047287523118316263:5(1043-1069)Online publication date: 18-Aug-2023
https://doi.org/10.1177/00472875231183162
Korzun DBalandina EKashevnik ABalandin SViola F(2019)Profiling and Personalization in Internet of Things EnvironmentsAmbient Intelligence Services in IoT Environments10.4018/978-1-5225-8973-0.ch004(89-110)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-8973-0.ch004
Delic ANeidhardt JNguyen TRicci F(2018)An observational user study for group recommender systems in the tourism domainInformation Technology & Tourism10.1007/s40558-018-0106-y19:1-4(87-116)Online publication date: 19-Feb-2018
https://doi.org/10.1007/s40558-018-0106-y
Delic ANeidhardt JRook LWerthner HZanker M(2017)Researching Individual Satisfaction with Group Decisions in Tourism: Experimental EvidenceInformation and Communication Technologies in Tourism 201710.1007/978-3-319-51168-9_6(73-85)Online publication date: 5-Jan-2017
https://doi.org/10.1007/978-3-319-51168-9_6

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