Presented at: 16th International World Wide Web Conference (WWW2007)
by Qi Su, Dmitry Pavlov, Jyh-Herng Chow, Wendell Baker
Enterprise data processing and content aggregation systems often require extensive use of human reviewed data (e.g. for training and monitoring machine learning-based applications). Today these needs are often met by in-house efforts or offshore contracting. Emerging applications attempt to provide automation for human reviewed data collection at Internet-scale. We conduct extensive experiments to study the effectiveness of one such application. We also study the feasibility of using Yahoo! Answers, a general question-answering forum, for human review data collection.
Resource URI on the dog food server: http://data.semanticweb.org/conference/www/2007/paper/main/461
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