ATTRIBUTE GENERATION DEVICE, ATTRIBUTION GENERATION METHOD AND ATTRIBUTE GENERATION PROGRAM

WIPO Patent Application WO/2020/144820

A1

In the present invention, a learning unit 81 learns, for each respondent, an attribute perspective model, which is a model that takes an attribute of a respondent as an explanatory variable, so as to minimize the difference between the prediction results generated by a predictor which predicts, for each target, the evaluation results for a respondent on the basis of the characteristic vector for the respondent, and prediction results generated by an prediction model which predicts the evaluation results learned for each respondent, taking target attributes as an explanatory variable. An attribute generation unit 82 generates attributes in such a manner that evaluation results obtained according to attributes applied to a learned prediction model satisfy the specified purpose.

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SAKAI TOMOYA (JP)
SOGAWA YASUHIRO (JP)

PCT/JP2019/000567

July 16, 2020

January 10, 2019

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NEC CORP (JP)

G06N20/00

WO2017094207A1

2017-06-08

US20180349795A1	2018-12-06
JP2003524221A	2003-08-12

KOUTRA, DANAI ET AL.: "PNP: Fast Path Ensemble Method for Movie Design", KDD ' 17 PROCEEDINGS OF THE 23RD ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 17 August 2017 (2017-08-17), pages 1527 - 1536, XP080730136, DOI: 10.1145/3097983.3098076

IWAKABE Fuyuki et al. (JP)

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