The Little Engines That Could: Modeling the Performance of World Wide Web Search Engines

References

  • Alba Joseph , Lynch John , Weitz Barton , Janiszewski Chris , Lutz Richard , Sawyer Alan , Wood Stacy . Interactive home shopping: incentives for consumers, retailers, and manufactures to participate in electronic marketplaces. J. Marketing (1997) 61 July 38 53 CrossrefGoogle Scholar
  • Andersen Erling B. Conditional inference for multiple-choice questionnaires. British J. Math. Statist. Psycho. (1973) 26 31 44 CrossrefGoogle Scholar
  • Bakos Yannis . Reducing buyer search costs: implications for electronic marketplaces. Management Sci. (1997) 43 12 1676 1692 LinkGoogle Scholar
  • Beatty Sally . NBC puts its firepower behind snap! The Wall Street Journal (1998) September 15 Google Scholar
  • Bennett Peter D. Dictionary of Marketing Terms (1995) 2nd edition (NTC Business Books, Lincolnwood, IL) Google Scholar
  • Bradlow E. T. , Zaslavsky A. M. Case influence analysis in Bayesian inference. J. Comput. Graphical Statist. (1997) 6 September 314 331 Google Scholar
  • Burke Ray . Virtual shopping: breakthrough in marketing research. Harvard Bus. Review (1996) 74 2 120 131 Google Scholar
  • Clemente Mark N. The Marketing Glossary (1992) (AMACOM (American Management Association), New York) Google Scholar
  • Elrod Terry . Choice map: inferring a product-market map from panel data. Marketing Sci. (1988) 7 21 40 LinkGoogle Scholar
  • Feldman Susan . Web search services in 1998: trends and challenges. Searcher (1998) 6 . Web document address http://www. infotoday.com/searcher/jun/story2.htm#chart Google Scholar
  • Feller William . An Introduction to Probability Theory and Its Applications (1968) 3rd edition (Wiley, New York) Google Scholar
  • Gelfand Alan E. , Hills Susan E. , Racine-Poon Amy , Smith Adrian F. M. Illustration of Bayesian inference in normal data models using Gibbs sampling. J. American Statist. Assoc. (1990) 85 972 985 CrossrefGoogle Scholar
  • Gelman Andrew , Rubin Donald B. Inference from iterative simulation using multiple sequences. Statist. Sci. (1992) 7 457 511 CrossrefGoogle Scholar
  • Hastings W. K. Monte Carlo sampling methods using Markov chains and their applications. Biometrika (1970) 57 97 109 CrossrefGoogle Scholar
  • Hoffman Donna L. , Kalsbeek William D. , Novak Thomas P. Internet and Web use in the United States: baselines for commercial development. Comm. ACM (1996) 39 December 36 46 CrossrefGoogle Scholar
  • Hoffman Donna L. , Novak Thomas P. Marketing in hypermedia computermediated environments: conceptual foundations. J. Marketing (1996) 60 July 50 68 CrossrefGoogle Scholar
  • Kamakura Wagner A. , Srivastava Rajendra K. Predicting choice shares under conditions of brand interdependence. J. Marketing Res. (1984) 21 420 434 CrossrefGoogle Scholar
  • Lawrence Steve , Lee Giles C. Searching the World Wide Web. Science (1998) 280 3 98 100 CrossrefGoogle Scholar
  • Lawrence Steve , Lee Giles C. Accessibility of information on the Web. Nature (1999) 400 July 8 107 109 CrossrefGoogle Scholar
  • Newton Michael A. , Raftery Adrian E. Approximate Bayesian inference with the weighted likelihood bootstrap. J. Royal Statist. Soc. Series B (1994) 56 1 3 48 Google Scholar
  • Web search sites: metasearch sites. (1998) December 1 . PC Magazine Google Scholar
  • Rasch G. Probabilistic Models for Some Intelligence and Attainment Tests (1960) (Nielson and Lydiche (for Danmarks Paedagogiske Institut), Copenhagen, Denmark) Google Scholar
  • Rasch G. An item analysis which takes individual differences into account. British J. Math. Statist. Psych. (1966) 19 49 57 . (Part 1) CrossrefGoogle Scholar
  • Ritter Christian , Tanner Martin A. Facilitating the Gibbs sampler: the Gibbs stopper and the griddy-Gibbs sampler. J. Am. Statist. Assoc. (1992) 87 861 868 CrossrefGoogle Scholar
  • Rossi Peter E. , McCulloch Robert E. , Allenby Greg M. The value of purchase history data in target marketing. Marketing Sci. (1996) 15 4 321 340 LinkGoogle Scholar
  • Rust Roland T. , Schmittlein David C. A Bayesian crossvalidated likelihood method for comparing alternative specifications of quantitative models. Marketing Sci. (1985) 4 1 20 40 LinkGoogle Scholar
  • Selberg Erik , Etzioni Oren . Multi-engine search and comparison using the MetaCrawler. Proceedings of the Fourth International World Wide Web Conference (1996) Boston, MA 195 Google Scholar
  • Sullivan Danny . Search engine watch: search engines feature chart. (1998) . Web document address http://searchenginewatch.interest.com/webmasters/features.html Google Scholar
  • Web's vastness foils even best search engines. The Wall Street Journal (1998) April 3 Google Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.