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

Bradlow, Eric T.; Schmittlein, David C.
January 2000
Marketing Science;Winter2000, Vol. 19 Issue 1, p43
Academic Journal
This research examines the ability of six popular Web search engines, individually and collectively, to locate Web pages containing common marketing/management phrases. We propose and validate a model for search engine performance that is able to represent key patterns of coverage and overlap among the engines. The model enables us to estimate the typical additional benefit of using multiple search engines, depending on the particular set of engines being considered. It also provides an estimate of the number of relevant Web pages not found by any of the engines. For a typical marketing/management phrase we estimate that the "best" search engine locates about 50% of the pages, and all six engines together find about 90% of the total. The model is also used to examine how properties of a Web page and characteristics of a phrase affect the probability that a given search engine will find a given page. For example, we find that the number of Web page links in- creases the prospect that each of the six search engines will find it. Finally, we summarize the relationship between major structural characteristics of a search engine and its performance in locating relevant Web pages.


Related Articles

  • Keywords are the core of search marketing. O'Neil, Susan // New Hampshire Business Review;4/13/2007, Vol. 29 Issue 8, p29 

    The article focuses on the advantage of online keyword research to marketing. Such advantage involves web site links to other web sites, which are believed to help web pages to earn higher listings in search returns by leading researchers to products and solutions that a company advertises. It...

  • ask the expert. Riegel, Stephen // B to B;2/9/2009, Vol. 94 Issue 2, p16 

    The article presents tips for search engine optimization (SEO) that would help in current economic scenario. As per the author, search engine spiders prefer easy-to-navigate sites as much as the end-users do. Each is seeking to understand where to find information on a site, so it is suggested...

  • Search S.O.S. Bannan, Karen J. // B to B;2/13/2006, Vol. 91 Issue 2, p19 

    The article offers information on choosing the right search engine marketing (SEM). Andrea Noleroth, Network Appliance's senior marketing manager, came to the conclusion last fall that search engine marketing could help the data storage provider's marketing efforts in a big way. But while...

  • The Search Continues. Manafy, Michelle // EContent;Nov2007, Vol. 30 Issue 9, p26 

    The article focuses on effective enterprise electronic information searching. While the comfort and familiarity of the Web search experience may be what users think they want at work, the author believes that they need to make effective, efficient forays into information repositories that...

  • Internet Research Made Easy. Bloom, Molly // Writing;Nov/Dec2004, Vol. 27 Issue 3, p18 

    This article presents information on Internet research. The first thing to think about when researching a topic on the Internet is the type of information one is looking for. The kind of information one seek should determine how one should go about finding it. One may be embarking on a more...

  • Modeling and exploiting tag relevance for Web service mining. Chen, Liang; Wu, Jian; Zheng, Zibin; Lyu, Michael; Wu, Zhaohui // Knowledge & Information Systems;Apr2014, Vol. 39 Issue 1, p153 

    Web service tags, i.e., terms annotated by users to describe the functionality or other aspects of Web services, are being treated as collective user knowledge for Web service mining. Since user tagging is inherently uncontrolled, ambiguous, and overly personalized, a critical and fundamental...

  • VERACITY FINDING FROM INFORMATION PROVIDE ON THE WEB. Kumar, D. Vijaya; Rao, B. Srinivasa // Computer Science & Telecommunications;2010, Vol. 28 Issue 5, p47 

    The world-wide web has become the most important information source for most of us. Unfortunately, there is no guarantee for the correctness of information on the web. Moreover, different web sites often provide conflicting information on a subject, such as different specifications for the same...

  • Statistical Analysis of Search Engines (Google, Yahoo and Altavista) for Their Search Result. Dwivedi, Nripendra; Joshi, Lata; Gupta, Neeraj // International Journal of Computer Theory & Engineering;Apr2013, Vol. 5 Issue 2, p298 

    The web search engines are used to extract query specific information from this massive pool of WWW. A large number of different search engines are available to the user to satisfy their needs. Every search engine uses its own specific algorithm to rank the list of web pages returned by the...

  • Assessing citations with Google Scholar: A new feature. Ahmed, K. K. Mueen // Journal of Pharmacology & Pharmacotherapeutics;Jan2012, Vol. 3 Issue 1, p75 

    The article discusses the launch of the Google Scholar search service which provides the ability to search for scholarly literature located from across the web. It states that Google Scholar is a freely accessible web search engine that indexes the full text of scholarly literature across an...


Read the Article


Sign out of this library

Other Topics