All Stories

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