Internet search engine is a "WWW server" in the Internet. Its main task is to actively search for information in other WWW servers on the Internet and automatically index it. The indexed content is stored in available in the queried data.
The operating environment of this tutorial: Windows 7 system, Dell G3 computer.
The internet search engine is a "WWW server" in the internet.
Search engine refers to collecting information from the Internet according to certain strategies and using specific computer programs. After organizing and processing the information, it provides users with retrieval services and displays the retrieved relevant information. system to users. Search engine is a retrieval technology that works on the Internet. It improves the speed at which people obtain and collect information and provides people with a better network usage environment. In terms of functions and principles, search engines are roughly divided into four categories: full-text search engines, meta-search engines, vertical search engines and directory search engines.
With the development of search engines today, the infrastructure and algorithms have basically taken shape and matured technically. Search engines have developed into systems that use specific computer programs to collect information from the Internet based on certain strategies, organize and process the information, provide retrieval services to users, and display relevant information to users.
The main features of search engines:
1. Quickly capture information.
In the era of big data, the information generated by the Internet is so vast that it makes people confused and difficult to get the information resources they need. With the help of search engine technology, you can quickly capture highly relevant matching information by using keywords, advanced grammar and other search methods.
2. Carry out in-depth information mining.
While search engines capture the information that users need, they can also analyze the retrieved information in certain dimensions to guide their use and understanding of the information. For example, the user can judge the popularity of the retrieval object based on the retrieved information items, can also provide highly relevant similar objects based on the retrieved information distribution, and can also use the retrieved information to intelligently provide user solutions, etc. .
3. Diversity and breadth of search content.
As search engine technology becomes increasingly mature, contemporary search engine technology can support retrieval of almost all types of data, such as natural language, intelligent language, machine language and other languages. Currently, not only videos, audios, and images can be retrieved, but also human facial features, fingerprints, specific actions, etc. can be retrieved. It is conceivable that in the future, almost all data types may become the retrieval objects of search engines.
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