Search for "scientific" sexual evolution

In the eyes of many people, Internet search is already a very mature industry. People have become accustomed to the current information retrieval methods.

For many years, the essence of search is the matching of strings. For example, "taj mahal" is only two words for search engines, but users may think of one of the world's most beautiful memorial sites, a Grammy-winning musician, and even the last time Going to an Indian restaurant.

"Obviously, search should be even better." Amit Singhhar, Google scientist and senior vice president, has accumulated more than 20 years of work experience in search. For him, search is not only a tool, but also dream.

Knowledge map

The "Knowledge Graph" launched in May this year is Amit and Google's efforts to change information retrieval and awareness.

“The goal of the Knowledge Graph is to accurately interpret the real world and not just provide web links. Through the massive Knowledge Graph, you can provide information on everything from countries, cities, basketball teams, skyscrapers, lighthouses, etc. to different things. Attributes and the relationship between them. This is the first time that computers have used search engines to understand the entities in the real world, providing users with the most desired information, rather than simple string matching.” Amit excitedly described it as “ A symphony of information and the human world."

Understanding the engine

In the field of search, the difference between machines and people is that machine retrieval is faster and human understanding is deeper. Making the machine "understand" the real world like humans is a challenging task, but at the same time it is cool enough to make future searches more intelligent.

"Generally speaking, the Knowledge Graph will be on the right side of the page. The information provided above complements the content provided by the search results on the left side of the page. This is our primary design principle. The second design principle is, before the user asks questions. You can answer his next question. For example, when you mention "roller coaster," you may ask how much time it takes to ride it, and then the Knowledge Graph will give you an answer: 3 minutes." Amit said that the Knowledge Graph can even be associated To the relevant information in user Gmail.

All this is based on the massive data resources mining and integration. New search can quickly identify the user's request and provide the user with the most desired information. Google has been able to reduce search time through features such as auto-complete and spelling suggestions. Now with the introduction of the Knowledge Graph, people will get results faster and do more exploration. This is an improvement of the entire network ecosystem. “Cai Ying, the leader of Google search technology, said that these features of the Knowledge Graph are only a small part. "We hope to introduce more powerful and intelligent features. These are based on web pages and keyword search methods are difficult to achieve. ”