Abstract

The paper proposes a description of information decision support system in the tourism domain and a set of methods and algorithms for generating recommendations for a user that allow significant increase of the system usability. The system generates for the user recommendations which attractions at the moment are better to attend based on the user preferences and the current situation in the location area. The system also allows showing the user information about interesting attraction in more detail, which is based on analyzing information evaluations made by other users.

Keywords:
Computer science Usability Attraction Service (business) Tourism Set (abstract data type) Recommender system Domain (mathematical analysis) Information system Human–computer interaction World Wide Web Moment (physics) Information retrieval Business Engineering Marketing

Metrics

28
Cited By
11.44
FWCI (Field Weighted Citation Impact)
11
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Recommender Systems and Techniques
Physical Sciences →  Computer Science →  Information Systems
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Data Mining Algorithms and Applications
Physical Sciences →  Computer Science →  Information Systems
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