Combining Crowd and Machines for Multi-predicate Item Screening; Human-Computer Interaction; Vol. 2 : No. CSCW

Combining Crowd and Machines for Multi-predicate Item Screening; Human-Computer Interaction; Vol. 2 : No. CSCW

Detalles Bibliográficos
Parent link:Human-Computer Interaction
Vol. 2 : No. CSCW.— 2018.— [97, 18 p.]
Autor Corporativo: Национальный исследовательский Томский политехнический университет Институт социально-гуманитарных технологий Кафедра экономики Международная научно-образовательная лаборатория технологий улучшения благополучия пожилых людей
Otros Autores: Krivosheev E. Evgeny, Casati F. Fabio, Baez G. M. A. Gonzalez Markos Antonio, Benatallah B. Boualem
Sumario:Title screen
This paper discusses how crowd and machine classifiers can be efficiently combined to screen items that satisfy a set of predicates. We show that this is a recurring problem in many domains, present machine-human (hybrid) algorithms that screen items efficiently and estimate the gain over human-only or machine-only screening in terms of performance and cost. We further show how, given a new classification problem and a set of classifiers of unknown accuracy for the problem at hand, we can identify how to manage the cost-accuracy trade off by progressively determining if we should spend budget to obtain test data (to assess the accuracy of the given classifiers), or to train an ensemble of classifiers, or whether we should leverage the existing machine classifiers with the crowd, and in this case how to efficiently combine them based on their estimated characteristics to obtain the classification. We demonstrate that the techniques we propose obtain significant cost/accuracy improvements with respect to the leading classification algorithms.
Режим доступа: по договору с организацией-держателем ресурса
Lenguaje:inglés
Publicado: 2018
Materias:
электронный ресурс
труды учёных ТПУ
классификаторы
алгоритмы
идентификация
фильтры
базы данных
данные
Acceso en línea:https://doi.org/10.1145/3274366
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663977

Ejemplares similares

Ejemplares similares