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Data collection using intelligent agents: when is enough, enough?

Data collection using intelligent agents: when is enough, enough?. WISE 2002 Barcelona, Spain Gove Allen, Jianan Wu A. B. Freeman School of Business Tulane University New Orleans, Louisiana USA. This Study. Aggregators as Market Surrogates. + Ease of use + Stability of layout

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Data collection using intelligent agents: when is enough, enough?

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  1. Data collection using intelligent agents: when is enough, enough? WISE 2002Barcelona, Spain Gove Allen, Jianan WuA. B. Freeman School of BusinessTulane UniversityNew Orleans, Louisiana USA

  2. This Study

  3. Aggregators as Market Surrogates • + Ease of use • + Stability of layout • + Profit motivation • + Special access • + Performance information • - Partnerships • - Fees • - Decreasing marginal returns

  4. Research Question • Are there any market representation biases for aggregators? • If there are, what are they? • How can researhcers control these biases?

  5. Proposed Metrics Vendor Coverage: Product Coverage: Offering Coverage:

  6. 8 aggregators 459 books 84 vendors 4 months (3/02 – 6/02) The Data • 2.2 million price observations • Parallel, distributed, data collection agent (SECRET Agent)

  7. Efficient Frontieroffering coverage (single aggregators)

  8. Efficient Frontieroffering coverage (best and worst groups)

  9. Weighting Metrics Product Representativeness: Aggregator Representativeness: Offering Representativeness:

  10. Top 10 Vendors by weighting metrics

  11. Aggregator Biases (one randomly selected book and day) ISBN: 0791056619 (March 19,2002)

  12. Aggregator Biases

  13. Bias Correlation with Offering Coverage

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