Recommendation of little known good travel destinations using word-of-mouth information on the web

Kouzou Ohara, Yu Fujimoto, Tomofumi Shiina

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a method to recommend to a tourist (user) such a travel destination that is little known to many people, but of interesting for the user. To this end, we use two recommendation techniques, i.e. collaborative filtering and content-based filtering. We use the collaborative filtering method to predict the user's preference and select a destination that is well known and of interesting for the user. Then, with the destination as a clue, we make a final recommendation by finding out such a destination that is similar to the clue, but not well known itself by means of the content-based filtering method. To characterize travel destinations, we focus on many pieces of word-of-mouth information about them on the Internet, and use tf-idf values of keywords appearing in them to construct feature vectors for destinations. We conduct a user study and show that the proposed method is promising.

Original languageEnglish
Title of host publicationActive Media Technology - 6th International Conference, AMT 2010, Proceedings
Pages183-190
Number of pages8
DOIs
Publication statusPublished - 2010 Dec 13
Event2010 6th International Conference on Active Media Technology, AMT 2010 - Toronto, ON, Canada
Duration: 2010 Aug 282010 Aug 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6335 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2010 6th International Conference on Active Media Technology, AMT 2010
CountryCanada
CityToronto, ON
Period10/8/2810/8/30

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ohara, K., Fujimoto, Y., & Shiina, T. (2010). Recommendation of little known good travel destinations using word-of-mouth information on the web. In Active Media Technology - 6th International Conference, AMT 2010, Proceedings (pp. 183-190). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6335 LNCS). https://doi.org/10.1007/978-3-642-15470-6_20