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
Abstract
Olga Artemenko, Volodymyr V. Pasichnyk, Natalia Kunanec, Danylo Tabachyshyn
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.
OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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