Random sampling from a search engine's index
Proceedings of the 15th international conference on World Wide Web
Marketing Models of Service and Relationships
Marketing Science
Efficient search engine measurements
Proceedings of the 16th international conference on World Wide Web
The Market Structure for Internet Search Engines
Journal of Management Information Systems
Random sampling from a search engine's index
Journal of the ACM (JACM)
Comparing performance metrics in organic search with sponsored search advertising
Proceedings of the 2nd International Workshop on Data Mining and Audience Intelligence for Advertising
Marketing Science
E-commerce evolution: a Gulf region review
International Journal of Business Information Systems
Web Observation from a User Perspective
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Electronic Commerce Research and Applications
A Dynamic Model of Sponsored Search Advertising
Marketing Science
Efficient Search Engine Measurements
ACM Transactions on the Web (TWEB)
Dynamic search engine competition with a knowledge-sharing service
Decision Support Systems
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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 pagesnot 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 increases 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.