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Title:
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A PREFERENCE LIST BASED RECOMMENDER SYSTEM FOR TOURISM INDUSTRY, DESIGN AND IMPLEMENTATION |
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Author(s):
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Aliakbar Nik Nafs , Arash Nik Nafs , M. Masoud Javidi |
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ISBN:
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978-972-8924-66-9 |
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Editors:
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Piet Kommers, Pedro Isaías and Nian-Shing Chen |
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Year:
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2008 |
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Edition:
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Single |
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Keywords:
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Recommender System, Tourism, Collaborative Filtering. |
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Type:
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Full Paper |
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First Page:
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199 |
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Last Page:
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206 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The increasing number of works and studies in the field of e-commerce indicates that e-commerce has become one of the
most important concerns of businesses and also researchers. In B2C arena tourism is a leading business worldwide.
Tourism exists as a powerful economic force in the development of both community-based and global markets.
This Paper concerns on tour recommender systems that are very important in tourism industry. The algorithm used in this
approach works on the basis of specifying the preference lists of users and their needs and interests. A procedure for tour
itinerary planning is suggested and then sample runs of the implemented program will be discussed. The proposed
recommender system in this paper can be viewed as collaborative filtering that incorporates feature, such as age range,
budget, interests, and duration of trip and special needs and preferences. |
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