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Tourism Recommendation System based in user's profile and functionality levels

Published: 20 July 2016 Publication History

Abstract

This paper describes a proposal to develop a Tourism Recommendation System based in users enhanced profiles (composed by basic user information, relations between user and a set of stereotypes and user functionality levels). The main focus of this work is to evaluate if user's physical and psychological functionality levels considered in user's profiles creation, will produce significant changes in the recommendation results.
This work aims also to contribute with a different way to classify points-of-interest (POI) considering their capacity to receive tourists with certain levels of physical and psychological issues that will be described in this paper sections.

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Cited By

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  • (2023)Mobile Tourism Recommendation System for Visually DisabledArtificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications10.2174/9789815136746123010013(205-215)Online publication date: 14-Aug-2023
  • (2022)CAFOB: Context-aware fuzzy-ontology-based tourism recommendation systemExpert Systems with Applications10.1016/j.eswa.2022.116877199(116877)Online publication date: Aug-2022
  • (2021)Evaluation of Content-based Tour Recommendation Systems2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAI-AAI53430.2021.00158(909-910)Online publication date: Jul-2021
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cover image ACM Other conferences
C3S2E '16: Proceedings of the Ninth International C* Conference on Computer Science & Software Engineering
July 2016
152 pages
ISBN:9781450340755
DOI:10.1145/2948992
Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 July 2016

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Author Tags

  1. Tourism
  2. points-of-interest
  3. recommendation
  4. user profiles

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  • Short-paper
  • Research
  • Refereed limited

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C3S2E '16

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Overall Acceptance Rate 12 of 42 submissions, 29%

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Cited By

View all
  • (2023)Mobile Tourism Recommendation System for Visually DisabledArtificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications10.2174/9789815136746123010013(205-215)Online publication date: 14-Aug-2023
  • (2022)CAFOB: Context-aware fuzzy-ontology-based tourism recommendation systemExpert Systems with Applications10.1016/j.eswa.2022.116877199(116877)Online publication date: Aug-2022
  • (2021)Evaluation of Content-based Tour Recommendation Systems2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAI-AAI53430.2021.00158(909-910)Online publication date: Jul-2021
  • (2019)Tourism Recommendation System Based on User Reviews2019 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT)10.1109/3ICT.2019.8910312(1-5)Online publication date: Sep-2019
  • (2018)Customer Segmentation in a Travel Agency Dataset using Clustering Algorithms2018 IEEE Latin American Conference on Computational Intelligence (LA-CCI)10.1109/LA-CCI.2018.8625252(1-6)Online publication date: Nov-2018
  • (2018)Smart Tourism Platform Based on Microservice Architecture and Recommender ServicesMobile Web and Intelligent Information Systems10.1007/978-3-319-97163-6_14(167-180)Online publication date: 14-Jul-2018
  • (2018)Development of a Tour Recommendation System Using Online Customer ReviewsProceedings of the Twelfth International Conference on Management Science and Engineering Management10.1007/978-3-319-93351-1_90(1145-1153)Online publication date: 26-Jun-2018
  • (2017)A user modeling approach to personalized sightseeing toursProceedings of the XVIII International Conference on Human Computer Interaction10.1145/3123818.3123875(1-8)Online publication date: 25-Sep-2017
  • (2017)Survey of the state of art based on PICOC about the use of artificial intelligence tools and expert systems to manage and generate tourist packages2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS)10.1109/ICTUS.2017.8286021(290-296)Online publication date: Dec-2017
  • (2017)Using Functionality/Accessibility Levels for Personalized POI RecommendationRecent Advances in Information Systems and Technologies10.1007/978-3-319-56535-4_55(539-548)Online publication date: 28-Mar-2017

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