disk seek during a search Additionally, there is a file which is used to convert URLs into docIDs. 4.2 Major Data Structures Google's data structures are optimized so that a large document collection can be crawled, indexed, and searched with little cost. For example, there are many tens of millions of searches performed every day. Storage space must be used efficiently to store indices and, optionally, the documents themselves. For example, the top result for a search for "Bill Clinton" on one of the most popular commercial search engines was the Bill Clinton Joke of the Day: April 14, 1997. Moore's Law was defined in 1965 as a doubling every 18 months in processor power. We would also like to thank Hector Garcia-Molina, Rajeev Motwani, Jeff Ullman, and Terry Winograd and the whole WebBase group for their support and insightful discussions. Furthermore, advertising income often provides an incentive to provide poor quality search results.
Full text at:. It is foreseeable that by the year 2000, a comprehensive index of the Web will contain over a billion documents. The choice of compression technique is a tradeoff between speed and compression ratio. Also, this makes development much more difficult in that a change to the ranking function requires a rebuild of the index.
Our compact encoding uses two bytes for every hit. At the same time, search engines have migrated from the academic domain to the commercial. Every type and proximity pair has a type-prox-weight. First, it makes use of the link structure of the Web to calculate a quality ranking for each web page. This gives us some limited phrase searching as long as there are not that many anchors for a particular word.