All Stories

  1. Creativity on Paid Crowdsourcing Platforms
  2. Statistical considerations for crowdsourced perceptual ratings of human speech productions
  3. Cost-Effective Quality Assurance in Crowd Labeling
  4. Reputation Transferability in Online Labor Markets
  5. A system for scalable and reliable technical-skill testing in online labor markets
  6. Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
  7. Introduction to the Special Issue on EC’12
  8. Beat the Machine
  9. Hiring Behavior Models for Online Labor Markets
  10. The Dynamics of Micro-Task Crowdsourcing
  11. Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue
  12. Facilitating Document Annotation Using Content and Querying Value
  13. Trust, but verify
  14. Quizz
  15. Repeated labeling using multiple noisy labelers
  16. Have you done anything like that?
  17. Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowdsourced Content
  18. Answering General Time-Sensitive Queries
  19. Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics
  20. Relevance-Based Retrieval on Hidden-Web Text Databases without Ranking Support
  21. Deriving the Pricing Power of Product Features by Mining Consumer Reviews
  22. Crowdsourcing using Mechanical Turk
  23. The computer is the new sewing machine
  24. Towards a theory model for product search
  25. Managing crowdsourced human computation
  26. A demo search engine for products
  27. Analyzing the Amazon Mechanical Turk marketplace
  28. A report on the human computation workshop (HComp 2009)
  29. Improving product search with economic theory
  30. Quality management on Amazon Mechanical Turk
  31. Ranked queries over sources with Boolean query interfaces without ranking support
  32. A quality-aware optimizer for information extraction
  33. Building query optimizers for information extraction
  34. Join Optimization of Information Extraction Output: Quality Matters!
  35. The EconoMining project at NYU: Studying the economic value of user-generated content on the internet
  36. Taxonomy Design
  37. Modeling volatility in prediction markets
  38. Query by document
  39. Automatic Extraction of Useful Facet Hierarchies from Text Databases
  40. Classification-aware hidden-web text database selection
  41. Answering general time sensitive queries
  42. Get another label? improving data quality and data mining using multiple, noisy labelers
  43. Towards a query optimizer for text-centric tasks
  44. Modeling and managing changes in text databases
  45. Duplicate Record Detection: A Survey
  46. Faceted Browsing over Large Databases of Text-Annotated Objects
  47. Show me the money!
  48. Designing novel review ranking systems
  49. To search or to crawl?
  50. Automatic construction of multifaceted browsing interfaces
  51. Reputation premiums in electronic peer-to-peer markets
  52. When one sample is not enough
  53. Text joins in an RDBMS for web data integration
  54. QProber
  55. Distributed Search over the Hidden Web
  56. Extending SDARTS
  57. Probe, count, and classify
  58. Automatic Classification of Text Databases through Query Probing
  59. PERSIVAL demo
  60. SDLIP + STARTS = SDARTS a protocol and toolkit for metasearching
  61. Probe, count, and classify
  62. Modeling Volatility in Prediction Markets
  63. The Dimensions of Reputation in Electronic Markets
  64. Content and Context: Identifying the Impact of Qualitative Information on Consumer Choice
  65. Text joins for data cleansing and integration in an RDBMS
  66. Modeling and Managing Content Changes in Text Databases
  67. Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content