JOURNAL ARTICLE

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

Olga ArtemenkoVolodymyr PasichnykNatalia KunanecDanylo Tabachyshyn

Year: 2019 Journal:   2019 IEEE 14th International Conference on Computer Sciences and Information Technologies (CSIT) Vol: 6 Pages: 166-169

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.

Keywords:
Recommender system Tourism Computer science Context (archaeology) World Wide Web Data science Geography

Metrics

11
Cited By
2.70
FWCI (Field Weighted Citation Impact)
16
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Recommender Systems and Techniques
Physical Sciences →  Computer Science →  Information Systems
Human Mobility and Location-Based Analysis
Social Sciences →  Social Sciences →  Transportation
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing

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