Beyond Exchangeability: The Chinese Voting Process

October 28, 2016 ยท Declared Dead ยท ๐Ÿ› Neural Information Processing Systems

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Authors Moontae Lee, Seok Hyun Jin, David Mimno arXiv ID 1610.09428 Category cs.LG: Machine Learning Cross-listed cs.IR, cs.SI Citations 6 Venue Neural Information Processing Systems Last Checked 4 months ago
Abstract
Many online communities present user-contributed responses such as reviews of products and answers to questions. User-provided helpfulness votes can highlight the most useful responses, but voting is a social process that can gain momentum based on the popularity of responses and the polarity of existing votes. We propose the Chinese Voting Process (CVP) which models the evolution of helpfulness votes as a self-reinforcing process dependent on position and presentation biases. We evaluate this model on Amazon product reviews and more than 80 StackExchange forums, measuring the intrinsic quality of individual responses and behavioral coefficients of different communities.
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