Learning an accurate entity resolution model from crowdsourced labels

Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, ICUIMC 2014

Volumn , Issue , 2014, Pages

  Wang, Jingjing ^a   Oyama, Satoshi ^a   Kashima, Hisashi ^b,c   Kurihara, Masahito ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

^c JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

Author keywords

Crowdsourcing; Dimensionality reduction; Entity resolution; Link prediction

Indexed keywords

COMMUNICATION; FORECASTING; INFORMATION MANAGEMENT; LEARNING SYSTEMS;

ACTUAL ENTITIES; CROWDSOURCING; DIMENSIONALITY REDUCTION; ENTITY RESOLUTIONS; LABELED DATA; LINK PREDICTION; PREDICTION ACCURACY; SUPERVISED LEARNING METHODS;

QUALITY CONTROL;

EID: 84899746983     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2557977.2558060     Document Type: Conference Paper

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