Presentation 2015-07-14
Recommendation system of tourist spots using large amounts of tourism information
Ryota Kaichi, Yasuhiko Higaki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The authors developed recommendation system of tourist spots that is based on the latent interest. Latent interest was acquired from word vectors that made by learning from text data of tourism information on the Web. A tourist spots database was made by classifying Wikipedia keywords in tourism-related degree. And tourism information was collected by this database. Word vectors were acquired by learning tourism information using word2vec. The authors have implemented the recommendation system of tourist spots as iOS application. Some of the features, such as recommendation, bookmark, history check and automatic recommendation were added to the application. And the authors have added a system for updating the word vector from the user’s usage history. To evaluate recommendation system of tourist spots and to solve the problem of spelling are future challenges.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) word2vec / Recommendation system of tourist spots / Large amounts of information / Latent Interest
Paper # LOIS2015-14
Date of Issue 2015-07-06 (LOIS)

Conference Information
Committee LOIS / IPSJ-DC
Conference Date 2015/7/13(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Future University Hakodate
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Manabu Okamoto(NTT) / Chieko Nakabasami(Toyo Univ.)
Vice Chair Hiroyuki Nishi(Sojo Univ.)
Secretary Hiroyuki Nishi(Tsuda College) / (NTT)
Assistant Yu Ichifuji(NII)

Paper Information
Registration To Technical Committee on Life Intelligence and Office Information Systems / Special Interest Group on Document Communication
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Recommendation system of tourist spots using large amounts of tourism information
Sub Title (in English)
Keyword(1) word2vec
Keyword(2) Recommendation system of tourist spots
Keyword(3) Large amounts of information
Keyword(4) Latent Interest
Keyword(5)
1st Author's Name Ryota Kaichi
1st Author's Affiliation Chiba University(Chiba Univ)
2nd Author's Name Yasuhiko Higaki
2nd Author's Affiliation Chiba University(Chiba Univ)
Date 2015-07-14
Paper # LOIS2015-14
Volume (vol) vol.115
Number (no) LOIS-138
Page pp.pp.29-34(LOIS),
#Pages 6
Date of Issue 2015-07-06 (LOIS)