Results 251 to 260 of about 635,990 (309)

Research on intelligent decision support platform for tourism enterprises based on multi-source heterogeneous data fusion. [PDF]

Sci Rep
Song M.
europepmc   +1 more source

Deep neural collaborative filtering model for personalized travel recommendation. [PDF]

Sci Rep
Aarif K, Deepika J, Kumar MA, Sanjana P.
europepmc   +1 more source

The social and environmental impacts on local residents from tourist accommodation near protected areas. [PDF]

Environ Manage
Zhang Y, Hanna P, Vanclay F.
europepmc   +1 more source

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Intelligent systems for tourism

IEEE Intelligent Systems, 2002
The authors discuss travel recommender systems, adaptive context aware mobility support for tourists, tourism information systems, information delivery and travel planning information gathering agents.
Steffen Staab, Hannes Werthner, Francesco Ricci 0001, Alexander Zipf, Ulrike Gretzel, Daniel R. Fesenmaier, Cécile Paris, Craig A. Knoblock   +7 more
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Analysis of the tourism system and systems engineering research on tourism

2011 International Conference on Computer Science and Service System (CSSS), 2011
From the perspective of systems engineering, this paper analyzes the composition, structure, functions and characteristics of the tourism system and presents that the tourism system is a complex one which consists of the tourism system, tourist service facilities system, ecological system and tourism administrator system.
null Jia Li, null Youbin Chen
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The tourism system

Anatolia, 2019
It is a recognized fact that a tourism system is a complex and dynamic phenomena and study of tourism requires a systems perspective to understand the bridging dynamics between demand and supply of...
openaire   +2 more sources

A mobile tourism recommender system

The IEEE symposium on Computers and Communications, 2010
Mobile tourist guides have been in the spotlight during the past decade resulting in many prototypes, either full-fledged standalone mobile applications or web-based applications. Particular emphasis has been given to personalisation of services, typically based on travel recommender systems used to assist tourists in choosing places to visit; these ...
Michael Kenteris, Damianos Gavalas, Aristides Mpitziopoulos   +2 more
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Hybrid Recommendation System for Tourism

2013 IEEE 10th International Conference on e-Business Engineering, 2013
This paper adopts item-based collaborative filtering to predict the interests of an active tourist by collecting preferences or taste information from a number of other tourists. Our proposed mechanism is able to predict a set recommended tourism places of elicited rating places (e.g., ratings of 1 through 5 stars) for the active tourist pre-traveling ...
Jen-Hsiang Chen, Kuo-Ming Chao, Nazaraf Shah   +2 more
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Improved Tourism Recommendation System

Proceedings of the 2020 12th International Conference on Machine Learning and Computing, 2020
The recommendation system is one of popular machine learning algorithms and has been widely used in areas, especially e-commerce platforms. There are many tourist cities in China, and many tourists are entangled in what places to visit. Inspired by this, in order to improve the satisfaction of tourism users and increase the profitability of tourism ...
Zihao Pu, Hongyu Du, Sizhe Yu, Duanyu Feng   +3 more
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Prototype of a tourism recommender system

2012 XXXVIII Conferencia Latinoamericana En Informatica (CLEI), 2012
When making a trip most of tourist used the Web to find information, encountering a problem that has been called “information overload”. In a tourism website, “coexist” several services: accommodation, transportation, cultural activities, travel agencies, and others.
Landro Castro, Silvana Vanesa Aciar
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