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Web crawling is a technique for finding information on the World Wide Web. It typically uses crawlers, spiders, or robots (botnets) to systematically explore the web and gather content from pages that are online and accessible. Web crawling is often used by search engines to provide their services. Crawling can be done manually or automatically with scripts or bots.
What is the main purpose of indexing?
Indexing is a term that refers to the process of storing data into a computer. Indexing can be used in many different situations such as to find information on the internet, to find files in a file system, or to help with searching.
Typically, indexing can be done by one of three ways: sequential-access indexing, direct-access indexing or storage-area indexing.
Sequential-access indexing uses an order that is ordered according to what it finds in the file. For example, if you were looking for an email address in your computer and it was alphabetically ordered according to first letter of the name, the email address would be found at the top of the list since it’s using sequential-access indexing.
Direct-access indexing starts from one particular point and searches for all files that match that point. Direct-access indexing looks for any content that matches its criteria without having to go through every single file in a specific folder/directory. Storage-area indexers write their data into a disk drive or memory location where they are later retrieved automatically without having to scan through all of them (this is typically used with databases).
What are some examples of ranking algorithms?
Ranking algorithms are processes that search engines use to decide where a website ranks on the results list. The primary ranking algorithm used by search engines is called PageRank, and it was developed in 1998 by two Stanford University computer science students: Larry Page and Sergey Brin.
Other common ranking algorithms include the following:
-Dmoz (The Open Directory Project)
-Algorithms used by Yahoo! Search
-PageRank algorithm
-Inverted PageRank
Last Updated on December 22, 2021
Aires Loutsaris is a content marketing specialist working with some of the world’s biggest VC funded startups and eCommerce companies. He has 15 years of experience in organic search optimisation and content writing with over 2500 students enrolled in his Udemy SEO course. An ex-head of two award-winning agencies, he has lectured at the University of the Arts, London College of Fashion on content marketing and has consulted for all three of the Universities he studied at: The Open University, The University of Hull and Kings College University of London. Feel free to connect with Aires on LinkedIn or Facebook.