abstract

User's profile ontology-based semantic model for personalized hotel room recommendation in the web of things: student research abstract

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Ronald OjinoAuthors Info & Claims

SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

Pages 2314 - 2316

https://doi.org/10.1145/3297280.3297661

Published: 08 April 2019 Publication History

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Abstract

The hotel industry is not exempt from technology disruption and will only keep its competitiveness through strategy [3]including adjusting to the new customers demands, reacting to competitors' innovations and taking advantage of the new technological developments. Personalization can enable an organization to customize its offerings at the individual level. This paper seeks to design and evaluate a novel Web of Things personalization model that effectively utilizes information about a customer's preferences to create a personalized service space.

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Cited By

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Ferrara AAnelli VMancino ADi Noia TDi Sciascio E(2023)KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge GraphsACM Transactions on Recommender Systems10.1145/35889011:4(1-30)Online publication date: 16-Nov-2023
https://dl.acm.org/doi/10.1145/3588901
Wang Y(2021)User Behavior Identification and Personalized Recommendation Based on Web Data MiningInternational Journal of Circuits, Systems and Signal Processing10.46300/9106.2021.15.7215(643-650)Online publication date: 20-Jul-2021
https://doi.org/10.46300/9106.2021.15.72
Anelli VDi Noia TDi Sciascio EFerrara AMancino A(2021)Sparse Feature Factorization for Recommender Systems with Knowledge GraphsProceedings of the 15th ACM Conference on Recommender Systems10.1145/3460231.3474243(154-165)Online publication date: 13-Sep-2021
https://dl.acm.org/doi/10.1145/3460231.3474243
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Index Terms

User's profile ontology-based semantic model for personalized hotel room recommendation in the web of things: student research abstract
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Document filtering
      2. Information extraction
    2. Users and interactive retrieval
      1. Personalization
  2. World Wide Web
    1. Web applications
      1. Electronic commerce
    2. Web searching and information discovery
      1. Personalization

Index terms have been assigned to the content through auto-classification.

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Published In

SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

April 2019

2682 pages

ISBN:9781450359337

DOI:10.1145/3297280

Conference Chairs:
Chih-Cheng Hung
Kennesaw State University, Marietta, Georgia
,
George A. Papadopoulos
University of Cyprus, Nicosia, Cyprus

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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Published: 08 April 2019

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SAC '19: The 34th ACM/SIGAPP Symposium on Applied Computing

April 8 - 12, 2019

Limassol, Cyprus

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Ferrara AAnelli VMancino ADi Noia TDi Sciascio E(2023)KGFlex: Efficient Recommendation with Sparse Feature Factorization and Knowledge GraphsACM Transactions on Recommender Systems10.1145/35889011:4(1-30)Online publication date: 16-Nov-2023
https://dl.acm.org/doi/10.1145/3588901
Wang Y(2021)User Behavior Identification and Personalized Recommendation Based on Web Data MiningInternational Journal of Circuits, Systems and Signal Processing10.46300/9106.2021.15.7215(643-650)Online publication date: 20-Jul-2021
https://doi.org/10.46300/9106.2021.15.72
Anelli VDi Noia TDi Sciascio EFerrara AMancino A(2021)Sparse Feature Factorization for Recommender Systems with Knowledge GraphsProceedings of the 15th ACM Conference on Recommender Systems10.1145/3460231.3474243(154-165)Online publication date: 13-Sep-2021
https://dl.acm.org/doi/10.1145/3460231.3474243
Anelli VBasile PDi Noia TDonini FMusto CNarducci FZanker M(2021)Third Knowledge-aware and Conversational Recommender Systems Workshop (KaRS)Proceedings of the 15th ACM Conference on Recommender Systems10.1145/3460231.3470933(806-809)Online publication date: 13-Sep-2021
https://dl.acm.org/doi/10.1145/3460231.3470933
Ojino RHung CCerny TShin DBechini A(2020)Towards an ontology for personalized hotel room recommendationProceedings of the 35th Annual ACM Symposium on Applied Computing10.1145/3341105.3374230(2060-2063)Online publication date: 30-Mar-2020
https://dl.acm.org/doi/10.1145/3341105.3374230

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RETRACTED ARTICLE: An ontology-driven personalized food recommendation in IoT-based healthcare system

A Personalized Ontology Model for Web Information Gathering

Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings

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RETRACTED ARTICLE: An ontology-driven personalized food recommendation in IoT-based healthcare system

A Personalized Ontology Model for Web Information Gathering

Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings

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