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Authors: Alexander Smirnov ; Andrew Ponomarev and Alexey Kashevnik

Affiliation: St. Petersburg's Institute for Informatics and Automation of the RAS and ITMO University, Russian Federation

ISBN: 978-989-758-187-8

Keyword(s): Recommendation System, Tourism, Context-awareness, Collaborative Filtering, Point-of-interest, Knowledge, Ontology.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Collaborative Computing ; Enterprise Information Systems ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Software Agents and Internet Computing ; Symbolic Systems ; Ubiquitous Computing ; User Profiling and Recommender Systems

Abstract: The paper proposes a complex multi-model approach to recommendation systems design in the domain of tourist information support. Specifically, it proposes to construct a recommendation system as a composition of loosely coupled modules, implementing both personalized and non-personalized methods of recommendations and a coordination module responsible for adaptation of the whole system to the specific tourist and situation context.

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Paper citation in several formats:
Smirnov, A.; Ponomarev, A. and Kashevnik, A. (2016). Tourist Attraction Recommendation Service: An Approach, Architecture and Case Study.In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-187-8, pages 251-261. DOI: 10.5220/0005870202510261

@conference{iceis16,
author={Alexander Smirnov. and Andrew Ponomarev. and Alexey Kashevnik.},
title={Tourist Attraction Recommendation Service: An Approach, Architecture and Case Study},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2016},
pages={251-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005870202510261},
isbn={978-989-758-187-8},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Tourist Attraction Recommendation Service: An Approach, Architecture and Case Study
SN - 978-989-758-187-8
AU - Smirnov, A.
AU - Ponomarev, A.
AU - Kashevnik, A.
PY - 2016
SP - 251
EP - 261
DO - 10.5220/0005870202510261

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