Blockchain-Based Data Sharing for Decentralized Tourism Destinations Recommendation System
Yunifa Miftachul Arif,Hani Nurhayati,Fachrul Kurniawan,Supeno Mardi Susiki Nugroho,Mochamad Hariadi +4 more
TLDR
This paper proposes the data-sharing system scheme, which uses a blockchain-based decentralized network that each node can be connected directly to each other, to support the exchange of data between them.Abstract:
One thing that tourists need to plan their tourism activities is a recommendation system. The tourism destinations recommendation system in this study has three primary nodes, namely user, server, and sensor. Each node requires the ability to share data to produce recommendations that the user expects through their mobile devices. In this paper, we propose the data-sharing system scheme uses a blockchain-based decentralized network that each node can be connected directly to each other, to support the exchange of data between them. The block architecture used in the blockchain network has three main parts, namely block information, hashes, and data. Each type of node has a different structure and direction of data communication. Where the user node sends destination assessment data to the server node, then the server node sends data from the machine learning process to the user node. The sensor sends dynamic data about popularity, traffic, and weather to the user node as consideration for finalizing the generating recommendations process. In the process of sending data, each node in the blockchain network goes through several functions, including hashing, block validation, chaining block, and broadcast. We conduct web-based experiments and analysis of the data-sharing system to illustrate the system works. The experimental results show that the system handles data circulation with an average time of mine is 84.5 ms in sending multi-criteria assessment data from the user and 119.1 ms in sending data of machine learning result from the server.read more
Citations
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Journal ArticleDOI
Blockchain-based recommender systems: Applications, challenges and future opportunities
Yassine Himeur,Yassine Himeur,Aya Sayed,Abdullah Alsalemi,Abdullah Alsalemi,Faycal Bensaali,Abbes Amira,Abbes Amira,Iraklis Varlamis,Magdalini Eirinaki,Christos Sardianos,George Dimitrakopoulos +11 more
TL;DR: In this paper, the authors present a review of blockchain-based recommender systems covering challenges, open issues and solutions, and a well-designed taxonomy is introduced to describe the security and privacy challenges, overview existing frameworks and discuss their applications and benefits when using blockchain.
Journal ArticleDOI
The Impact of Blockchain Technology Adoption on Tourism Industry: A Systematic Literature Review
TL;DR: A systematic literature review that consists of the operations for detecting, selecting, categorizing, and analyzing relevant articles on a specified subject and concludes that the majority of the academic works illustrate the benefits of BC implementation and explain its potential by providing diverse models of BC-based systems.
Journal ArticleDOI
An Automatic Scenario Control in Serious Game to Visualize Tourism Destinations Recommendation
TL;DR: In this paper, an automatic scenario control system is proposed to visualize travel recommendation scenarios choice according to the player's expectations of potential tourism destinations criteria, and the test results show that Automatic Scenario Control generates a preference value for each alternative as a reference for choosing tourism destination scenarios for the player.
Proceedings ArticleDOI
A Blockchain-Based Multiplayer Transaction For Tourism Serious Game
Yunifa Miftachul Arif,Reza Putra Pradana,Hani Nurhayati,Supeno Mardi Susiki Nugroho,Mochamad Hariadi +4 more
TL;DR: In this paper, the authors proposed a tourism serious game with a blockchain-based multiplayer transaction system, where the simulation of transaction activities between several characters' choices, including tourists, ticket sellers, jeep drivers, traders, and horse rental.
Journal ArticleDOI
Destinations Ratings Based Multi-Criteria Recommender System for Indonesian Halal Tourism Game
TL;DR: In this article , the authors proposed a recommendation system to support knowledge sources in the Indonesian halal tourism game, where they used destinations ratings-based multi-criteria recommender system (MCRS) to generate recommendation rankings as a reference for visualizing halal travel for players as potential tourists.
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