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This article mainly introduces what the internet search engine refers to, the text is very detailed, has a certain reference value, interested in small partners must read!

Internet search engine is a "WWW server" in Internet. Its main task is to actively search information in other WWW servers in Internet and automatically index them. The contents of its index are stored in data available for query.

Internet search engine is a WWW server in Internet.

Search engine refers to a system that collects information from the Internet by using specific computer programs according to certain strategies, organizes and processes the information, provides retrieval services for users, and displays the retrieved relevant information to users. Search engine is a retrieval technology that works on the Internet. It refers to improving the speed at which people obtain information and provide a better network environment for people to use. Search engines can be divided into four categories: full-text search engine, meta search engine, vertical search engine and directory search engine.

Search engine development to today, infrastructure and algorithms in technology have been basically formed and mature. Search engines have developed into systems that collect information from the Internet using specific computer programs according to certain strategies, organize and process the information, provide retrieval services for users, and display the information related to user retrieval to users.

Main features of search engines:

1. Information is captured quickly.

In the era of big data, the information generated by the network is vast and confusing, and it is difficult to get the information resources you need. With the help of search engine technology, we can quickly capture highly relevant matching information by using keywords, advanced grammar and other retrieval methods.

2. Carry out in-depth information mining.

Search engine can capture the information of user's demand and analyze the retrieved information in certain dimensions to guide its use and understanding of information. For example, the user can judge the popularity of the retrieved object according to the retrieved information items, can also provide similar objects with high correlation according to the retrieved information distribution, and can also provide user solutions intelligently by using the retrieved information, etc.

3. Diversity and extensiveness of retrieval contents.

With the development of search engine technology, modern search engine technology can support almost all kinds of data types, such as natural language, intelligent language, machine language and other languages. At present, not only video, audio, images can be retrieved, but also human facial features, fingerprints, specific actions, etc. can be retrieved. It can be imagined that in the future almost all data types may become search engine retrieval objects.

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