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Panos Ipeirotis : ウィキペディア英語版
Panos Ipeirotis

Panagiotis G. Ipeirotis (born 1976) is an Associate Professor and George A. Kellner Faculty Fellow at the Department of Information, Operations, and Management Sciences at Leonard N. Stern School of Business of New York University.〔(Personal home page of Panagiotis G. Ipeirotis )〕〔(NYU Stern page for Panagiotis G. Ipeirotis )〕 A computer scientist by training, he is employed in a business school and writes in his blog "A Computer Scientist in a Business School".〔(A Computer Scientist in a Business School )〕
He is known for his work on crowdsourcing and on using services such as Amazon Mechanical Turk, which a frequent topic for his publications and blog posts, for which he has received academic awards〔(Awards for 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining )〕 and media attention.〔
(Washington Post: How you and Google are losing the battle against spam in search results )〕〔(MIT Technology Review: How Mechanical Turk is Broken )〕〔(Business Insider: 40% Of Amazon's Mechanical Turk Is Spam )〕〔(Forbes: Spam Hurts Crowdsourcing But Can’t Kill It )〕
His work on integrating text mining with economics, through the ''EconoMining'' project, has also resulted in academic awards.〔(Best Paper Award for the 20th International World Wide Web Conference: Towards a Theory Model for Product Search by Beibei Li, Anindya Ghose, Panagiotis G. Ipeirotis )〕 The finding that good spelling and grammar can lead to improved product sales〔(An ingenious application of crowdsourcing: Fix reviews' grammar, improve sales )〕 was discussed in the media.〔(Harvard Business Review: The Value of Teaching Your Customers How to Spell )〕〔(Reuters: How to ethically improve your customer reviews )〕
〔(Slate: Awsum Shoes. Is it ethical to fix grammatical and spelling errors in Internet reviews )〕〔(Freakonomics: Does Reviewer Quality Matter? )〕〔(Forbes: Zapos, Zappoz, or Zappos: Why Typos Are Good For Your Brand )〕
== References ==



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