Prototype of a tourism recommender system

Author

Castro, L. ; Aciar, S.

Author_Institution

Inst. de Inf., Univ. Nac. de San Juan, San Juan, Argentina

fYear

2012

fDate

1-5 Oct. 2012

Firstpage

1

Lastpage

7

Abstract

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. Usually the tourist has to search for hotels, transportation, restaurants separately and find the best combination of services to build a trip. This paper presents a prototype of a recommender system in the province of San Juan, Argentina, to recommend tourist packages based on preferences and interest of each user. Artificial Intelligence techniques are used to filter and customize the information.

Keywords

Web sites; artificial intelligence; recommender systems; travel industry; accommodation service; artificial intelligence techniques; cultural activities; information overload; tourism Website; tourism recommender system; tourist packages; transportation service; travel agencies; Argon; Cultural differences; Internet; Prototypes; Recommender systems; Storage area networks; Transportation; Personalization; Recommender Systems; Tourism Websites;

fLanguage

English

Publisher

ieee

Conference_Titel

Informatica (CLEI), 2012 XXXVIII Conferencia Latinoamericana En

Conference_Location

Medellin

Print_ISBN

978-1-4673-0794-9

Type

conf

DOI

10.1109/CLEI.2012.6427157

Filename

6427157