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Deepanjal Shrestha, Tan Wenan, Deepmala Shrestha, Neesha Rajkarnikar and Seung-Ryul Jeong
This study introduces a data-driven and machine-learning approach to design a personalized tourist recommendation system for Nepal. It examines key tourist attributes, such as demographics, behaviors, preferences, and satisfaction, to develop four sub-mo...
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Betty Purwandari, Arief Ramadhan, Kongkiti Phusavat, Achmad Nizar Hidayanto, Adyssa Fairuz Husniyyah, Ferdinand Hanif Faozi, Nicolas Henry Wijaya and Rifqi Hilman Saputra
Social media has become a very commonplace way for many people to have social interactions. The role of social media has changed from what was originally only a way to bridge social interactions, to becoming a business tool in various industries, one of ...
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Xiao Zhou, Jiangpeng Tian, Jian Peng and Mingzhan Su
Tourist attraction and tour route recommendation are the key research highlights in the field of smart tourism. Currently, the existing recommendation algorithms encounter certain problems when making decisions regarding tourist attractions and tour rout...
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Shanshan Han, Cuiming Liu, Keyun Chen, Dawei Gui and Qingyun Du
The rapid development of social media data, including geotagged photos, has benefited the research of tourism geography; additionally, tourists? increasing demand for personalized travel has encouraged more researchers to pay attention to tourism recomme...
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Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno and Gustavo Ramirez-Gonzalez
Recommendation systems have overcome the overload of irrelevant information by considering users? preferences and emotional states in the fields of tourism, health, e-commerce, and entertainment. This article reviews the principal recommendation approach...
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Siti Mahfuzah Sarif,Zurina Hanafi,Shafinah Farvin Packeer Mohamed,Syamsul Bahrin Zaibon,Mohamad Farhan Mohamad Mohsin
Pág. pp. 129 - 149
This paper discusses a unique business model of eatery recommender system based on local knowledge using mobile platform. The business model is developed to define the business concept of the innovation which is a rural innovation involving multiple enti...
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Naimat Ullah Khan, Wanggen Wan, Shui Yu, A. A. M. Muzahid, Sajid Khan and Li Hou
The main purpose of this research is to study the effect of various types of venues on the density distribution of residents and model check-in data from a Location-Based Social Network for the city of Shanghai, China by using combination of multiple tem...
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Luong Vuong Nguyen, Jason J. Jung and Myunggwon Hwang
This paper presents a cross-cultural crowdsourcing platform, called OurPlaces, where people from different cultures can share their spatial experiences. We built a three-layered architecture composed of: (i) places (locations where people have visited); ...
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Landy Rajaonarivo, André Fonteles, Christian Sallaberry, Marie-Noëlle Bessagnet, Philippe Roose, Patrick Etcheverry, Christophe Marquesuzaà, Annig Le Parc Lacayrelle, Cécile Cayèré and Quentin Coudert
The cultural heritage of a region, be it a highly visited one or not, is a formidable asset for the promotion of its tourism. In many places around the world, an important part of this cultural heritage has been catalogued by initiatives backed by govern...
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Kune-Yao Chen and Sheng-Yuan Yang
The tourism statistics of Taiwan?s government state that the tourism industry is one of the fastest growing economic sources in the world. Therefore, the demand for a tourism information system with a friendly interface is growing. This research implemen...
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