All Stories

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