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How to reverse-engineer quality rankings

Publication ,  Journal Article
Chang, A; Rudin, C; Cavaretta, M; Robert Thomas, ; Gloria Chou,
Published in: Machine Learning
September 1, 2012

A good or bad product quality rating can make or break an organization. However, the notion of "quality" is often defined by an independent rating company that does not make the formula for determining the rank of a product publicly available. In order to invest wisely in product development, organizations are starting to use intelligent approaches for determining how funding for product development should be allocated. A critical step in this process is to "reverse-engineer" a rating company's proprietary model as closely as possible. In this work, we provide a machine learning approach for this task, which optimizes a certain rank statistic that encodes preference information specific to quality rating data. We present experiments on data from a major quality rating company, and provide new methods for evaluating the solution. In addition, we provide an approach to use the reverse-engineered model to achieve a top ranked product in a cost-effective way. © The Author(s) 2012.

Duke Scholars

Published In

Machine Learning

DOI

EISSN

1573-0565

ISSN

0885-6125

Publication Date

September 1, 2012

Volume

88

Issue

3

Start / End Page

369 / 398

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4611 Machine learning
  • 1702 Cognitive Sciences
  • 0806 Information Systems
  • 0801 Artificial Intelligence and Image Processing
 

Citation

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Chang, A., Rudin, C., Cavaretta, M., Robert Thomas, ., & Gloria Chou, . (2012). How to reverse-engineer quality rankings. Machine Learning, 88(3), 369–398. https://doi.org/10.1007/s10994-012-5295-6
Chang, A., C. Rudin, M. Cavaretta, M. Robert Thomas, and M. Gloria Chou. “How to reverse-engineer quality rankings.” Machine Learning 88, no. 3 (September 1, 2012): 369–98. https://doi.org/10.1007/s10994-012-5295-6.
Chang A, Rudin C, Cavaretta M, Robert Thomas, Gloria Chou. How to reverse-engineer quality rankings. Machine Learning. 2012 Sep 1;88(3):369–98.
Chang, A., et al. “How to reverse-engineer quality rankings.” Machine Learning, vol. 88, no. 3, Sept. 2012, pp. 369–98. Scopus, doi:10.1007/s10994-012-5295-6.
Chang A, Rudin C, Cavaretta M, Robert Thomas, Gloria Chou. How to reverse-engineer quality rankings. Machine Learning. 2012 Sep 1;88(3):369–398.
Journal cover image

Published In

Machine Learning

DOI

EISSN

1573-0565

ISSN

0885-6125

Publication Date

September 1, 2012

Volume

88

Issue

3

Start / End Page

369 / 398

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4611 Machine learning
  • 1702 Cognitive Sciences
  • 0806 Information Systems
  • 0801 Artificial Intelligence and Image Processing