Presentation 2015-02-06
Developing a Novel Recommendation System Using Onomatopoeia
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The goal of this research is to develop an easy and intuitive to use novel recommendation system, in which we can specify features of novels using onomatopoeia. Firstly, based on analysis of book reveiws, we select onomatopoeias used in our recommendation system. Next, we measure our general impression for the onomatopoeias by sending out a questionnaire survey, and quantify impressions about each onomatopoeia. Finally, we clear up relation between novels and onomatopoeia. Thus, we develop a recommendation system that outputs novels corresponding to onomatopoeia input by a user.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Recommendation System / Novels / Onomatopoeia / Impression Measure
Paper # NLC2014-48
Date of Issue

Conference Information
Committee NLC
Conference Date 2015/1/29(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) Developing a Novel Recommendation System Using Onomatopoeia
Sub Title (in English)
Keyword(1) Recommendation System
Keyword(2) Novels
Keyword(3) Onomatopoeia
Keyword(4) Impression Measure
1st Author's Name Yuki ONODERA
1st Author's Affiliation Graduate School of Shibaura Institute of Technology()
2nd Author's Name Toru SUGIMOTO
2nd Author's Affiliation College of Engineering, Shibaura Institute of Technology
Date 2015-02-06
Paper # NLC2014-48
Volume (vol) vol.114
Number (no) 444
Page pp.pp.-
#Pages 6
Date of Issue