Presentation 2012-12-19
Sightseeing location recommendation using tourism information on the Web
Hisashi Uehara, Kazutaka Shimada, Tsutomu Endo,
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Abstract(in English) This paper describes a prototype system of sightseeing location recommendation. It integrates user's need and characteristics of each sightseeing location for the recommendation. The input of the system is a user's favorite location or facility. The system searches some locations related to the user's favorite on the basis of some similarity measures. We use five similarity measures; (1) co-occurrence keywords, (2) time sequence, (3) category information on Yahoo Chiebukuro, (4) surrounding area information and (5) map images. Our method visualizes the output of the recommendation.
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Keyword(in English) Sightseeing recommendation / Collective Intelligence / Similarity
Paper # NLC2012-35
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Conference Information
Committee NLC
Conference Date 2012/12/12(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sightseeing location recommendation using tourism information on the Web
Sub Title (in English)
Keyword(1) Sightseeing recommendation
Keyword(2) Collective Intelligence
Keyword(3) Similarity
1st Author's Name Hisashi Uehara
1st Author's Affiliation Kyushu Institute of Technology()
2nd Author's Name Kazutaka Shimada
2nd Author's Affiliation Kyushu Institute of Technology
3rd Author's Name Tsutomu Endo
3rd Author's Affiliation Kyushu Institute of Technology
Date 2012-12-19
Paper # NLC2012-35
Volume (vol) vol.112
Number (no) 367
Page pp.pp.-
#Pages 6
Date of Issue