20192019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT)Requires access

Using context analysys for providing real time recommendations in e-tourism mobile location-based recommender systems

Olga Artemenko, Volodymyr V. Pasichnyk, Natalia Kunanec, Danylo Tabachyshyn

Open publisher page 11 citations

Abstract

This paper describes main modern tendencies for the design and development of e-tourism recommender systems with real time support. This paper focuses on development of e-tourism mobile location-based recommender systems with context analysys function. Main goal is to enable better real time recommendations for trip support in time-location amplitude.

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What this paper is about

This paper describes main modern tendencies for the design and development of e-tourism recommender systems with real time support. This paper focuses on development of e-tourism mobile location-based recommender systems with context analysys function. Main goal is to enable better real time recommendations for trip support in time-location amplitude.

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OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper describes main modern tendencies for the design and development of e-tourism recommender systems with real time support. This paper focuses on development of e-tourism mobile location-based recommender systems with context analysys function. Main goal is to enable better real time recommendations for trip support in time-location amplitude.

Key concepts: Recommender system, Tourism, Computer science, Context (archaeology), World Wide Web, Data science, Geography, Archaeology

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