1, Google
Google Inc. was founded on September 4, 1998, by Larry Page and Sergey Brin *** with the creation of the world's largest search engine company is recognized.
Google is a multinational technology company based in the U.S. Its businesses include Internet search, cloud computing, and advertising technology, as well as the development and provision of a large number of Internet-based products and services, with its main profits coming from advertising services such as AdWords.
2, Bing
Microsoft Bing (English name: Bing) was launched by Microsoft on May 28, 2009, to replace Live Search's new search engine service. In order to conform to the habits of Chinese users, the Chinese brand name of Bing is "必应".
3, Sleipnir
Sleipnir is a mobile search engine launched by UC and Ali in 2013, and on March 11, 2015, Sleipnir announced that it had entered into a strategic cooperation with Yun Zhisheng, and would **** together to explore the innovation of voice search, in order to meet the needs of users of intelligent mobile hardware devices.
4, Sogou
Sogou search is China's leading Chinese search engine, dedicated to the depth of Chinese Internet information mining, to help China's hundreds of millions of Internet users to speed up the speed of access to information, creating value for users.
5, 360 search
360 comprehensive search, ? belongs to the meta-search engine, is a search engine, is a unified user interface to help users in a number of search engines to select and utilize the appropriate (or even at the same time using a number of) search engine to achieve the retrieval operation, the Road is distributed in the network of a variety of retrieval tools of the global control mechanism.
Expanded:
1, information capture quickly.
In the era of big data, the network produces a vast sea of information, people are overwhelmed, it is difficult to get the information resources they need. With the help of search engine technology, the use of keywords, advanced syntax and other search methods can be quickly captured to a high degree of relevance to match the information.
2, in-depth information mining.
Search engine in the capture of user demand for information at the same time, but also on the retrieval of information to be analyzed in certain dimensions, in order to guide the use and understanding of information. For example, the user can judge the heat of the retrieved object according to the retrieved information entries, but also according to the distribution of the retrieved information to give high relevance to similar objects, but also the use of the retrieved information intelligent to give the user solutions, and so on.
3, the diversity and breadth of retrieval content.
With the increasing maturity of search engine technology, contemporary search engine technology can support almost all kinds of data types of retrieval, such as natural language, intelligent language, machine language and other languages. Currently, not only video, audio, and images can be retrieved, but also human facial features, fingerprints, and specific actions. It is conceivable that in the future almost any data type may become retrievable by search engines.
References:
Reference: