Crowdsourcing Using Mechanical Turk: Quality Management and Scalability
Panagiotis Ipeirotis , Associate Professor at the Stern School of Business, New York University
| When: | Nov 10, 2011 | 4:00 pm - 5:30 pm |
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| Where: | Maxwell Dworkin G125 |
I will discuss the acquisition of "labels" for data items when the labeling is imperfect. Labels are values provided by humans for specified variables on data items, such as "PG-13" for "Adult Content Rating on this Web Page." With the increasing popularity of micro-outsourcing systems, such as Amazon's Mechanical Turk, it often is possible to obtain less-than-expert labeling at low cost. I will present strategies of managing quality in a crowdsourcing environment, showing in parallel how to integrate data acquisition with the process of learning machine learning models. I illustrate the results using real-life applications from on-line advertising: leveraging Mechanical Turk to help classify web pages as being objectionable to advertisers. Time permitting, I will also discuss our latest results showing that mice and Mechanical Turk workers are not that different after all.
Archive
VIDEO: .FLV | .MP4 AUDIO: .MP3
| Speaker Biography: | Panos Ipeirotis is an Associate Professor at the Department of Information, Operations, and Management Sciences at the Stern School of Business of New York University. His recent research interests focus on crowdsourcing and on mining user-generated content on the Internet. He received his Ph.D. in Computer Science from Columbia University in 2004, with distinction. He has received three "Best Paper" awards (IEEE ICDE 2005, ACM SIGMOD 2006, WWW 2011), two "Best Paper Runner Up" awards (JCDL 2002, ACM KDD 2008), and is also a recipient of a CAREER award from the National Science Foundation. He also maintains the blog "A Computer Scientist in a Business School" where he blogs about crowdsourcing, user-generated content, and other random facts, and his blogging activity seems to generate more interest and recognition than any of the other activities mentioned in this bio. |
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| Host: | Yiling Chen |
| Contact: |
Gioia Sweetland
gioia@seas.harvard.edu 617-495-2919 |
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