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Crawling and Indexing
1. Crawling and indexing the billions of
documents, pages, files, news,
calculating relevancy & rankings and serving results. videos and media on the world wide
web.
Providing Answers
2. Providing answers to user queries,
most frequently through lists of
relevant pages through retrieval and
rankings.
Imagine the World Wide Web as work of stops in a big city subway
system.
Each stop is its own unique document (usually a web page, but sometimes a PDF, JPG or other
Once the engines find these pages, their next job is to parse the code from them and store selected
pieces of the pages in massive hard drives, to be recalled when needed in a query. To plish
the monumental task of holding billions of pages that can be accessed in a fraction of a second, the
search engines have constructed massive datacenters in cities all over the world.
These monstrous storage facilities hold thousands of machines processing unimaginably large
quantities of information. After all, when a person performs a search at any of the major engines,
engines work hard to provide answers as fast as possible.
When a person searches for something online, it requires the search engines to scour their corpus
optimization is meant to influence.
To the search engines, relevance means more than simply having a page with the words you
further than this simplistic step, and found that their results suffered as a consequence. Thus,
through iterative evolution, smart engineers at the various engines dev