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

Kouzou Ohara*, Yu Fujimoto, Tomofumi Shiina

*この研究の対応する著者

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルActive Media Technology - 6th International Conference, AMT 2010, Proceedings
ページ183-190
ページ数8
DOI
出版ステータスPublished - 2010 12 13
外部発表はい
イベント2010 6th International Conference on Active Media Technology, AMT 2010 - Toronto, ON, Canada
継続期間: 2010 8 282010 8 30

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
6335 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

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

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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