TY - GEN
T1 - Recommendation of little known good travel destinations using word-of-mouth information on the web
AU - Ohara, Kouzou
AU - Fujimoto, Yu
AU - Shiina, Tomofumi
PY - 2010/12/13
Y1 - 2010/12/13
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78649810108&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-15470-6_20
DO - 10.1007/978-3-642-15470-6_20
M3 - Conference contribution
AN - SCOPUS:78649810108
SN - 3642154697
SN - 9783642154690
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 183
EP - 190
BT - Active Media Technology - 6th International Conference, AMT 2010, Proceedings
T2 - 2010 6th International Conference on Active Media Technology, AMT 2010
Y2 - 28 August 2010 through 30 August 2010
ER -