-
2
-
-
84883625242
-
Steering user behavior with badges
-
International World Wide Web Conferences Steering Committee
-
A. Anderson, D. Huttenlocher, J. Kleinberg, and J. Leskovec. Steering user behavior with badges. In Proceedings of the 22nd international conference on World Wide Web, pages 95-106. International World Wide Web Conferences Steering Committee, 2013.
-
(2013)
Proceedings of the 22nd International Conference on World Wide Web
, pp. 95-106
-
-
Anderson, A.1
Huttenlocher, D.2
Kleinberg, J.3
Leskovec, J.4
-
3
-
-
84908213945
-
Crowdsourcing for multiple-choice question answering
-
B. I. Aydin, Y. S. Yilmaz, Y. Li, Q. Li, J. Gao, and M. Demirbas. Crowdsourcing for multiple-choice question answering. In Twenty-Sixth IAAI Conference, 2014.
-
(2014)
Twenty-Sixth IAAI Conference
-
-
Aydin, B.I.1
Yilmaz, Y.S.2
Li, Y.3
Li, Q.4
Gao, J.5
Demirbas, M.6
-
4
-
-
84867117736
-
How to grade a test without knowing the answers|a Bayesian graphical model for adaptive crowdsourcing and aptitude testing
-
Y. Bachrach, T. Graepel, T. Minka, and J. Guiver. How to grade a test without knowing the answers|a bayesian graphical model for adaptive crowdsourcing and aptitude testing. In Proceedings of the 29th International Conference on Machine Learning (ICML-12), pages 1183-1190, 2012.
-
(2012)
Proceedings of the 29th International Conference on Machine Learning (ICML-12
, pp. 1183-1190
-
-
Bachrach, Y.1
Graepel, T.2
Minka, T.3
Guiver, J.4
-
5
-
-
33745839895
-
Using intelligent task routing and contribution review to help communities build artifacts of lasting value
-
ACM
-
D. Cosley, D. Frankowski, L. Terveen, and J. Riedl. Using intelligent task routing and contribution review to help communities build artifacts of lasting value. In Proceedings of the SIGCHI conference on Human Factors in computing systems, pages 1037-1046. ACM, 2006.
-
(2006)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
, pp. 1037-1046
-
-
Cosley, D.1
Frankowski, D.2
Terveen, L.3
Riedl, J.4
-
6
-
-
84880360544
-
Pomdp-based control of workows for crowdsourcing
-
P. Dai, C. H. Lin, D. S. Weld, et al. Pomdp-based control of workows for crowdsourcing. Artificial Intelligence, 202:52-85, 2013.
-
(2013)
Artificial Intelligence
, vol.202
, pp. 52-85
-
-
Dai, P.1
Lin, C.H.2
Weld, D.S.3
-
7
-
-
0003102944
-
Maximum likelihood estimation of observer error-rates using the em algorithm
-
A. P. Dawid and A. M. Skene. Maximum likelihood estimation of observer error-rates using the em algorithm. Applied statistics, pages 20-28, 1979.
-
(1979)
Applied Statistics
, pp. 20-28
-
-
Dawid, A.P.1
Skene, A.M.2
-
10
-
-
84909594574
-
Quizz: Targeted crowdsourcing with a billion (potential) users
-
International World Wide Web Conferences Steering Committee
-
P. G. Ipeirotis and E. Gabrilovich. Quizz: Targeted crowdsourcing with a billion (potential) users. In Proceedings of the 23rd international conference on World wide web, pages 143-154. International World Wide Web Conferences Steering Committee, 2014.
-
(2014)
Proceedings of the 23rd International Conference on World Wide Web
, pp. 143-154
-
-
Ipeirotis, P.G.1
Gabrilovich, E.2
-
11
-
-
84869048311
-
Coordinating tasks on the commons: Designing for personal goals, expertise and serendipity
-
ACM
-
M. Krieger, E. M. Stark, and S. R. Klemmer. Coordinating tasks on the commons: designing for personal goals, expertise and serendipity. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 1485-1494. ACM, 2009.
-
(2009)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
, pp. 1485-1494
-
-
Krieger, M.1
Stark, E.M.2
Klemmer, S.R.3
-
12
-
-
84956994053
-
Machine learning for adaptive user interfaces
-
Springer
-
P. Langley. Machine learning for adaptive user interfaces. In KI-97: Advances in artificial intelligence, pages 53-62. Springer, 1997.
-
(1997)
KI-97: Advances in Artificial Intelligence
, pp. 53-62
-
-
Langley, P.1
-
13
-
-
84863628031
-
Models of user engagement
-
Springer
-
J. Lehmann, M. Lalmas, E. Yom-Tov, and G. Dupret. Models of user engagement. In User Modeling, Adaptation, and Personalization, pages 164-175. Springer, 2012.
-
(2012)
User Modeling, Adaptation, and Personalization
, pp. 164-175
-
-
Lehmann, J.1
Lalmas, M.2
Yom-Tov, E.3
Dupret, G.4
-
14
-
-
39649101766
-
Computer-Adaptive testing: A methodology whose time has come
-
Chae, S.-Kang, U.-Jeon, E.-Linacre, JM (eds
-
J. M. Linacre et al.computer-Adaptive testing: A methodology whose time has come. Chae, S.-Kang, U.-Jeon, E.-Linacre, JM (eds.): Development of Computerised Middle School Achievement Tests, MESA Research Memorandum, (69), 2000.
-
(2000)
Development of Computerised Middle School Achievement Tests, MESA Research Memorandum
, vol.69
-
-
Linacre, J.M.1
-
16
-
-
70449657723
-
Financial incentives and the performance of crowds
-
W. Mason and D. J. Watts. Financial incentives and the performance of crowds. ACM SigKDD Explorations Newsletter, 11(2):100-108, 2010.
-
(2010)
ACM SigKDD Explorations Newsletter
, vol.11
, Issue.2
, pp. 100-108
-
-
Mason, W.1
Watts, D.J.2
-
17
-
-
60649093481
-
Adapting pervasive environments through machine learning and dynamic personalization
-
IEEE
-
S. McBurney, E. Papadopoulou, N. Taylor, and H. Williams. Adapting pervasive environments through machine learning and dynamic personalization. In Parallel and Distributed Processing with Applications, 2008. ISPA'08. International Symposium on, pages 395-402. IEEE, 2008.
-
(2008)
Parallel and Distributed Processing with Applications 2008 ISPA'08. International Symposium on
, pp. 395-402
-
-
McBurney, S.1
Papadopoulou, E.2
Taylor, N.3
Williams, H.4
-
19
-
-
80555140075
-
Scikit-learn: Machine learning in python
-
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12:2825-2830, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 2825-2830
-
-
Pedregosa, F.1
Varoquaux, G.2
Gramfort, A.3
Michel, V.4
Thirion, B.5
Grisel, O.6
Blondel, M.7
Prettenhofer, P.8
Weiss, R.9
Dubourg, V.10
Vanderplas, J.11
Passos, A.12
Cournapeau, D.13
Brucher, M.14
Perrot, M.15
Duchesnay, E.16
-
21
-
-
77951954464
-
Learning from crowds
-
V. C. Raykar, S. Yu, L. H. Zhao, G. H. Valadez, C. Florin, L. Bogoni, and L. Moy. Learning from crowds. The Journal of Machine Learning Research, 11:1297-1322, 2010.
-
(2010)
The Journal of Machine Learning Research
, vol.11
, pp. 1297-1322
-
-
Raykar, V.C.1
Yu, S.2
Zhao, L.H.3
Valadez, G.H.4
Florin, C.5
Bogoni, L.6
Moy, L.7
-
25
-
-
51749107030
-
Recaptcha: Human-based character recognition via web security measures
-
L. Von Ahn, B. Maurer, C. McMillen, D. Abraham, and M. Blum. recaptcha: Human-based character recognition via web security measures. Science, 321(5895):1465-1468, 2008.
-
(2008)
Science
, vol.321
, Issue.5895
, pp. 1465-1468
-
-
Von Ahn, L.1
Maurer, B.2
McMillen, C.3
Abraham, D.4
Blum, M.5
-
27
-
-
77951951247
-
Whose vote should count more: Optimal integration of labels from labelers of unknown expertise
-
J. Whitehill, T.-f. Wu, J. Bergsma, J. R. Movellan, and P. L. Ruvolo. Whose vote should count more: Optimal integration of labels from labelers of unknown expertise. In Advances in neural information processing systems, pages 2035-2043, 2009.
-
(2009)
Advances in Neural Information Processing Systems
, pp. 2035-2043
-
-
Whitehill, J.1
Wu, T.-F.2
Bergsma, J.3
Movellan, J.R.4
Ruvolo, P.L.5
-
28
-
-
0014254846
-
Probability plotting methods for the analysis for the analysis of data
-
M. B. Wilk and R. Gnanadesikan. Probability plotting methods for the analysis for the analysis of data. Biometrika, 55(1):1-17, 1968.
-
(1968)
Biometrika
, vol.55
, Issue.1
, pp. 1-17
-
-
Wilk, M.B.1
Gnanadesikan, R.2
|