TRIPORA:斯里兰卡旅游访问和更新的智能机器学习解决方案

T.R Legrand, K. Bandara, J.A.D Stefania Crishani, L.W.P Uvindu, N.C Amarasena, D. Kasthurirathna
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引用次数: 0

摘要

斯里兰卡是世界上最热门的旅游目的地之一。然而,由于设施陈旧,游客面临各种不便。有各种各样的工具可以用来解决这些问题。但它们分散在不同的地方,用户必须使用不同的工具。旅游业最大的问题是,游客无法充分利用他们的旅游,因为可能有很多人访问同一个地点,导致该地点变得拥挤,并阻止游客享受他们的访问预期。自然灾害和以人为中心的危机都有发生的季节。此外,有些情况下,旅行者感到无助,因为他们无法找到最好的导游。作为这项研究的结果,我们开发了一个经济、自动、高效的基于机器学习的推荐系统。根据以往的游客数据和从SLTDA收到的数据,本研究可以为导游提供最佳的旅行计划,并定期提供目的地新闻提醒。此外,为了使系统达到最佳的准确性,本研究中使用了独特的机器学习方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TRIPORA: Intelligent Machine Learning Solution for Sri Lanka Touring Access and Updates
Sri Lanka is one of the top tourist destinations in the world. However, tourists face various inconveniences due to the obsolescence of facilities. There are various tools designed to solve such problems. But they are scattered in different places and users have to use different tools. The biggest issue in the tourist sector is that travelers are unable to get the most out of their tours since there may be days when a large number of people visit the same location, causing the location to become overcrowded, and preventing tourists from enjoying their visit as anticipated. There are seasons when natural disasters occur, as well as human-centered crises. Also, there are situations when travelers feel helpless because they are unable to find the best tour guide for them. We developed a cost-effective, automatic, and efficient Machine Learning-based recommendation system as a result of this research. Based on past data on tourists and data received from the SLTDA, this research can provide the best trip plan with the tour guide and provide destination news alerts on regular basis. Furthermore, in order to achieve the best accuracy through the system, unique machine learning approaches were used in this study.
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