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ORCIDHCOMP 2013: Palm Springs, CA, USA
- Björn Hartman, Eric Horvitz:
Proceedings of the First AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013, November 7-9, 2013, Palm Springs, CA, USA. AAAI 2013, ISBN 978-1-57735-607-3 - HCOMP-13 Organization.
- Sponsors.
- Preface.
Papers
- Ofra Amir, Yuval Shahar, Ya'akov Gal, Litan Ilani:
On the Verification Complexity of Group Decision-Making Tasks. 2-8 - Paul André, Haoqi Zhang, Juho Kim, Lydia B. Chilton, Steven P. Dow, Robert C. Miller:
Community Clustering: Leveraging an Academic Crowd to Form Coherent Conference Sessions. 9-16 - Ricardo Matsumura de Araújo:
99designs: An Analysis of Creative Competition in Crowdsourced Design. 17-24 - Jonathan Bragg, Mausam, Daniel S. Weld:
Crowdsourcing Multi-Label Classification for Taxonomy Creation. 25-33 - Ruggiero Cavallo, Shaili Jain:
Winner-Take-All Crowdsourcing Contests with Stochastic Production. 34-41 - Swapnil Dhamal, Y. Narahari:
Scalable Preference Aggregation in Social Networks. 42-50 - Sean Goldberg, Daisy Zhe Wang, Tim Kraska:
CASTLE: Crowd-Assisted System for Text Labeling and Extraction. 51-59 - Hoda Heidari, Michael J. Kearns:
Depth-Workload Tradeoffs for Workforce Organization. 60-68 - Hannes Heikinheimo, Antti Ukkonen:
The Crowd-Median Algorithm. 69-77 - Trung Dong Huynh, Mark Ebden
, Matteo Venanzi, Sarvapali D. Ramchurn, Stephen J. Roberts, Luc Moreau:
Interpretation of Crowdsourced Activities Using Provenance Network Analysis. 78-85 - Jason T. Jacques, Per Ola Kristensson:
Crowdsourcing a HIT: Measuring Workers' Pre-Task Interactions on Microtask Markets. 86-93 - Andrew Mao, Ece Kamar, Yiling Chen, Eric Horvitz, Megan E. Schwamb, Chris J. Lintott, Arfon M. Smith:
Volunteering Versus Work for Pay: Incentives and Tradeoffs in Crowdsourcing. 94-102 - Andrew Mao, Ece Kamar, Eric Horvitz:
Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing. 103-111 - Aditya G. Parameswaran, Ming Han Teh, Hector Garcia-Molina, Jennifer Widom:
DataSift: An Expressive and Accurate Crowd-Powered Search Toolkit. 112-120 - Mary Pietrowicz, Danish Chopra, Amin Sadeghi, Puneet Chandra, Brian P. Bailey, Karrie Karahalios:
CrowdBand: An Automated Crowdsourcing Sound Composition System. 121-129 - Huaming Rao, Shih-Wen Huang, Wai-Tat Fu:
What Will Others Choose? How a Majority Vote Reward Scheme Can Improve Human Computation in a Spatial Location Identification Task. 130-137 - Adam Sadilek, Sean Brennan, Henry A. Kautz, Vincent Silenzio:
nEmesis: Which Restaurants Should You Avoid Today? 138-146 - Yuko Sakurai, Tenda Okimoto, Masaaki Oka, Masato Shinoda, Makoto Yokoo:
Ability Grouping of Crowd Workers via Reward Discrimination. 147-155 - Aashish Sheshadri, Matthew Lease:
SQUARE: A Benchmark for Research on Computing Crowd Consensus. 156-164 - Adish Singla, Andreas Krause:
Incentives for Privacy Tradeoff in Community Sensing. 165-173 - Lucas M. Tabajara, Marcelo O. R. Prates, Diego Noble, Luís C. Lamb:
Leveraging Collaboration: A Methodology for the Design of Social Problem-Solving Systems. 174-181 - Matteo Venanzi, Alex Rogers, Nicholas R. Jennings:
Crowdsourcing Spatial Phenomena Using Trust-Based Heteroskedastic Gaussian Processes. 182-189 - Jens Witkowski, Yoram Bachrach, Peter B. Key, David C. Parkes:
Dwelling on the Negative: Incentivizing Effort in Peer Prediction. 190-197 - Yexiang Xue, Bistra Dilkina, Theodoros Damoulas, Daniel Fink, Carla P. Gomes, Steve Kelling:
Improving Your Chances: Boosting Citizen Science Discovery. 198-206 - Jinfeng Yi, Rong Jin, Shaili Jain, Anil K. Jain:
Inferring Users' Preferences from Crowdsourced Pairwise Comparisons: A Matrix Completion Approach. 207-215
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