extended-abstract

TripTip: a trip planning service with tag-based recommendation

Authors:

Jinyoung Kim,

Hyungjin Kim,

Jung-hee RyuAuthors Info & Claims

CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems

Pages 3467 - 3472

https://doi.org/10.1145/1520340.1520504

Published: 04 April 2009 Publication History

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Abstract

In this paper we suggest a design for a system, TripTip, the aim of which is to help negotiate their way through the immense amount of information that is often available by recommending a set of choices. TripTip recommends to the users the next place, which they would most likely want to visit given their preference in previous choices. To generate this information, tags that are attached on a given place by users give the characteristics of a place and the reasons for visiting the place.

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References

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Chang TChen Y(2022)Creating a System of IOE-PDPTA to Bridge Tourists and Poster Designers: An Application of IOE in Personalized Poster DesignSystems10.3390/systems1004012510:4(125)Online publication date: 19-Aug-2022
https://doi.org/10.3390/systems10040125
Radlinski FBalog KDiaz FDixon LWedin BAmigo ECastells PGonzalo JCarterette BCulpepper JKazai G(2022)On Natural Language User Profiles for Transparent and Scrutable RecommendationProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3531873(2863-2874)Online publication date: 6-Jul-2022
https://dl.acm.org/doi/10.1145/3477495.3531873
Lorente Riverola I(2019)La representación de las actividades económicas urbanas en las plataformas digitales = The Representation of Urban Economic Activities through Digital PlatformsTerritorios en formación10.20868/tf.2019.16.4410(209)Online publication date: 29-Dec-2019
https://doi.org/10.20868/tf.2019.16.4410
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Index Terms

TripTip: a trip planning service with tag-based recommendation
1. Information systems

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Published In

CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems

April 2009

2470 pages

ISBN:9781605582474

DOI:10.1145/1520340

General Chair:
Dan R. Olsen
Brigham Young University
,
Program Chairs:
Ken Hinckley
Microsoft Research
,
Meredith Ringel Morris
Microsoft Research
,
Scott Hudson
Carnegie Mellon University
,
Saul Greenberg
University of Calgary

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 April 2009

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place recommendation

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Extended-abstract

Conference

CHI '09

Sponsor:

CHI '09: CHI Conference on Human Factors in Computing Systems

April 4 - 9, 2009

MA, Boston, USA

Acceptance Rates

CHI EA '09 Paper Acceptance Rate 385 of 1,130 submissions, 34%;

Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all

Chang TChen Y(2022)Creating a System of IOE-PDPTA to Bridge Tourists and Poster Designers: An Application of IOE in Personalized Poster DesignSystems10.3390/systems1004012510:4(125)Online publication date: 19-Aug-2022
https://doi.org/10.3390/systems10040125
Radlinski FBalog KDiaz FDixon LWedin BAmigo ECastells PGonzalo JCarterette BCulpepper JKazai G(2022)On Natural Language User Profiles for Transparent and Scrutable RecommendationProceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3477495.3531873(2863-2874)Online publication date: 6-Jul-2022
https://dl.acm.org/doi/10.1145/3477495.3531873
Lorente Riverola I(2019)La representación de las actividades económicas urbanas en las plataformas digitales = The Representation of Urban Economic Activities through Digital PlatformsTerritorios en formación10.20868/tf.2019.16.4410(209)Online publication date: 29-Dec-2019
https://doi.org/10.20868/tf.2019.16.4410
Bogers T(2018)Tag-Based RecommendationSocial Information Access10.1007/978-3-319-90092-6_12(441-479)Online publication date: 3-May-2018
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Guo TGuo BOuyang YYu ZLam JLi V(2017)CrowdTravel: scenic spot profiling by using heterogeneous crowdsourced dataJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-017-0492-69:6(2051-2060)Online publication date: 21-Apr-2017
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Zhang ZPan HXu GWang YZhang P(2016)A Context-Awareness Personalized Tourist Attraction Recommendation AlgorithmCybernetics and Information Technologies10.1515/cait-2016-008416:6(146-159)Online publication date: 1-Dec-2016
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Gionis ALappas TPelechrinis KTerzi ECarterette BDiaz FCastillo CMetzler D(2014)Customized tour recommendations in urban areasProceedings of the 7th ACM international conference on Web search and data mining10.1145/2556195.2559893(313-322)Online publication date: 24-Feb-2014
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