Designing a tourism recommendation system using a hybrid method (Collaborative Filtering and Content-Based Filtering)

• Published in: 2021 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT) pp. 298 - 305
• Main Authors: Wayan Priscila Yuni Praditya, Ni, Erna Permanasari, Adhistya, Hidayah, Indriana
• Format: Conference Proceeding
• Language: English
• Published: IEEE 17-07-2021
• Subjects: Artificial neural networks; Collaborative filtering; Communication networks; Conferences; Content-Based; Filtering; Freeware; Hybrid; Nearest Neighbor; Recommendation System; Satellites; Tourism
• DOI: 10.1109/COMNETSAT53002.2021.9530823

A recommendation system is an application model based on observations of the customer's circumstances and desires. The recommendation system can be applied in various fields, one of which is tourism. By utilizing a recommendation system, tourism can introduce and promote its tourism to the wider community. In the recommendation system, several methods are used to support how the system works in producing information. This paper's uses the Hybrid (Collaborative Filtering & Content-Based Filtering) method and the Nearest Neighbor (NN) algorithm. This method has a weakness when an item does not have a rating at all. Therefore, it needs a method that can overcome the weaknesses of the method. We implement a hybrid method, which combines several methods in the recommendation system to produce recommendation items under the user's wishes. In addition, this system will use Whatsapp Messenger as a promotional medium. This paper aims to propose a recommendation system that will help several historical tours become the foremost destinations when visiting Palembang. The result of developing this recommendation system is a website that can recommend tours desired by users.