University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Assessing Language Discrepancies between Travelers and Online Travel Recommendation Systems: Application of the Jaccard Distance Score to Web Data Mining

Park, Sangwon and Kim, D-Y (2017) Assessing Language Discrepancies between Travelers and Online Travel Recommendation Systems: Application of the Jaccard Distance Score to Web Data Mining Technological Forecasting & Social Change.

[img] Text
Recomm System paper_final_1.pdf - Accepted version Manuscript
Restricted to Repository staff only until 29 September 2018.
Available under License : See the attached licence file.

Download (600kB)
[img]
Preview
Text (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview

Abstract

By using a human-centric approach to online recommender systems, this research aims to estimate the language discrepancies of which travelers and destination marketers describe the travel experiences across 11 tourism destinations in USA. In order to address the research purpose, data has been collected from two different sources that reflect the views of travelers and service providers. Then, a set of text data mining methods (i.e., clustering analysis and Jaccard distance score) was applied to identify the language differences between travelers and CVB websites, according to the following categories: shopping, dining, nightlife/activities, and attractions. Some possible methodological extensions that can improve recommendation capabilities, and managerial implications of these findings are provided.

Item Type: Article
Subjects : Hospitality & Tourism
Divisions : Faculty of Arts and Social Sciences > School of Hospitality and Tourism Management
Authors :
NameEmailORCID
Park, Sangwonsangwon.park@surrey.ac.ukUNSPECIFIED
Kim, D-YUNSPECIFIEDUNSPECIFIED
Date : 29 March 2017
Identification Number : 10.1016/j.techfore.2017.03.031
Copyright Disclaimer : © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords : Smart tourism, online recommender system, web data mining, Jaccard distance score
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 29 Mar 2017 13:24
Last Modified : 19 Jul 2017 13:57
URI: http://epubs.surrey.ac.uk/id/eprint/813881

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800