Possible System Architecture for Travel Recommender

Supriyanto Supriyanto; Jefree Fahana

doi:10.15575/join.v5i1.573

Possible System Architecture for Travel Recommender

Supriyanto Supriyanto, Jefree Fahana

Abstract

Travel recommender systems have been developed to meet the needs of users in the field of tourism. This system has several versions depending on the characteristics of the country, users and filtering techniques used. The development of recommendation filtering system techniques is very rapid so that the recommendation system has high enough complexity, but it also must have high usability. This paper discusses how the travel recommender system architecture is built by examining data structures, processing procedures and interaction design. The goal is to obtain the best usability in implementing a travel recommendation system. The system is built using the example case of finding the right tourist spot in Yogyakarta, Indonesia. This system applies several filtering techniques such as knowledge-based filtering, content-based filtering, and collaborative filtering. The evaluation results show that the system architecture optimized gets a usability level acceptable.

Keywords

Collaborative Filtering; Content-based; Knowledge-based; System Architecture; Travel Recommender

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