Presentation 2010-01-19
Analysis of the Difference of Food Menu Preference Between Supposed and Real Situations
Hideki ASOH, Yoichi Motomura, Chihiro ONO,
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Abstract(in English) Modeling users' preference becomes important for providing personalized services. In order to construct context-aware statistical models of preference, large amount of training data is needed. However it requires a heavy workload to set real situations, collect subjects under those situations, and collect data about preference under those situations. To avoid this difficulty, often a large amount of data in a supposed situation is collected, i.e., a situation where the subject pretends/imagines that he/she is in a specific situation. Here we report the result of an analysis about the difference of food menu preference between supposed and real situations based on the data acquired through internet surveys.
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Keyword(in English) Preference Modeling / Supposed Situations / Personalization / Recommender Systems
Paper # NC2009-85
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Committee NC
Conference Date 2010/1/11(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of the Difference of Food Menu Preference Between Supposed and Real Situations
Sub Title (in English)
Keyword(1) Preference Modeling
Keyword(2) Supposed Situations
Keyword(3) Personalization
Keyword(4) Recommender Systems
1st Author's Name Hideki ASOH
1st Author's Affiliation Intelligent Systems RI, AIST()
2nd Author's Name Yoichi Motomura
2nd Author's Affiliation Center for Service Research, AIST
3rd Author's Name Chihiro ONO
3rd Author's Affiliation KDDI R&D Laboratories, Inc.
Date 2010-01-19
Paper # NC2009-85
Volume (vol) vol.109
Number (no) 363
Page pp.pp.-
#Pages 6
Date of Issue