System and method for influencing a position on a search result list generated by a computer network search engine

Abstract

A method for providing a search result list. The method includes receiving a search request from a searcher. In a database of search listings in which each search listing is associated with an advertiser and includes at least one search term and a bid amount by the advertiser, search listings generating a match with the search request are identified. A predetermined number of identified search listings are selected according to bid amount for display to the searcher. The identified search listings are arranged for display in a random order as the search result list. The search result list is then communicated to the searcher.

Description

[0001] This application is a continuation in part of application Ser. No. 09 / 322,677 filed May 28, 1999 in the names of Darren J. Davis, et al., now U.S. Pat. No. 6,269,361, and commonly assigned with the present application and incorporated herein by reference in its entirety.REFERENCE TO COMPUTER PROGRAM LISTINGS SUBMITTED ON COMPACT DISK[0002] A compact disc appendix is included containing computer program code listings pursuant to 37 C.F.R. 1.52(e) and is hereby incorporated by reference in its entirety. The total number of compact discs is 1 including 22,808 files and 101,776,919 bytes. The files included on the compact disc are listed in a file entitled "dir_s" on the compact disc. Because of the large number of files contained on the compact disc, the required listing of file names, dates of creation and sizes in bytes is included in the file dir_s on the compact disk and incorporated by reference herein.[0003] The transfer of information over computer networks has become an ...

AI Technical Summary

Problems solved by technology

However, the World Wide Web is composed of a seemingly limitless number of web pages dispersed across millions of different computer systems all over the world in no discernible organization.

The search engines and web site directories of the prior art, however, rely upon processes for assigning results to keywords that often generate irrelevant search results.

The automated search technology that drives many search engines in the prior art rely in large part on complex, mathematics-based database search algorithms that select and rank web pages based on multiple criteria such as keyword density and keyword location.

The search results generated by such mechanisms often rely on blind mathematical formulas and may be random and even irrelevant.

Finally, many web sites have similar meta tags, and the search engines of the prior art are simply not equipped to prioritize results in accordance with consumers' preferences.

Since comprehensive manual review and indexing of an unpredictable, randomly updated database such as the web is an impossible task, search engine results are often incomplete or out-of-date.

Moreover, as the volume and diversity of Internet content has grown, on many popular web search sites, consume

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