Home » リソース » 私のブックマーク » Vol.30.No.1(2015/01)クラウドソーシングとヒューマンコンピュテーション(Crowdsourcing and Human Computation) 馬場雪乃(国立情報学研究所/JST, ERATO, 河原林巨大グラフプロジェクト) はじめに不特定多数の人に仕事を発注する仕組み「クラウドソーシング」の登場は、大量の人的資源の獲得を容易にした。 コンピュータ科学の諸分野では、クラウドソーシングをより成熟した基盤にするために、品質管理やメカニズムデザイン、プラットフォーム設計など多様な観点で研究が進められている。また、クラウドソーシングの登場を受けて人工知能分野では、人間と計算機の協調問題解決を目指す「ヒューマンコンピュテーション」に関する研究が促進された。 本稿では、以下5つの観点で情報源を紹介する:(1) クラウドソーシング・
CrowdFlower styles itself as a ‘data enrichment company’ and its technology has even been dovetailed by IBM Watson. This strays into the area that we call ‘active learning’ (or semi-supervised machine learning, if you prefer) where a computer program’s learning algorithm knows that it can periodically and interactively ask questions of a user (or user group) to gather desired outputs at new data p
Predict the relevance of search results from eCommerce sites
So much data on Yelp is locked away in millions of uploaded photos of restaurants, stores, and everywhere else. It's trying to give its computers the key. Frances Haugen was part of the first wave of people to use Google back in 1996. Her mother, a faculty member at the University of Iowa1, showed her the search engine, which was still a research project at Stanford University. Haugen was blown aw
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Data labeling is a necessary but often slow process that impedes the development of interactive systems for modern data analysis. Despite rising demand for manual data labeling, there is a surprising lack of work addressing its high and unpredictable latency. In this paper, we introduce CLAMShell, a system that speeds up crowds in order to achieve consistently low-latency data labeling. We offer a
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