The future Baidu Google search will be like this: beautiful

Foreign sci-tech media venturebeat on the current situation of weak search innovation, and pointed out that the future of search technology will make content more authoritative, accurate, and has a more diversified form. The knowledge map will provide an important driving force for new searches.

Google, a leading company in the search industry, has many advantages and is committed to innovative measures such as knowledge maps and conversational applications, but is mired in the "Innovator's Dilemma" and faces strong competitors in search fields such as Apple, Facebook and Amazon. The article said that in the future of the search market game, whichever party wins, will create the world's largest database.

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Over the past 20 years, technology has undergone tremendous innovations (such as smartphones, cloud computing and social networks), but the search interface and the support technology behind it remain stagnant. The interface we are using today is roughly similar to the earlier: blank input box, the user input query keywords, query results with blue font and underline, click on the other links will be turned.

We see search as a "state-of-the-art" product-an index that provides answers to everything.

Why doesn't search solve meaningful real-world problems?

Despite the positive investments that have been made over the years, search technology is still unable to solve some of the world's most meaningful practical problems. This is mainly due to:

Lack of authority

When the internet was just emerging, it was the computer or Internet connoisseur who edited and shared content. Many answers to many questions can be found on the web, and we also rely on these answers. But now everyone can write and share content on the Web, and the web is flooded with spam and phishing traps. The authority of the content is hard to guarantee, and we are questioning the reliability of the information source while we are acquiring it. Ultimately, we are not sure whether an answer is right or wrong. Google has made some progress on the fight against spam, but the cold war between spammers and search firms is bound to continue until some sort of normative shift occurs.

Higher expectations

People are increasingly demanding data and want to get deeper data and facts through queries. People are asking more complex questions than ever before. In the past, for example, people only wanted to find the best ski resorts by searching. Now they want to know which ski resorts are the most balanced to meet their requirements in terms of height difference, ski space and total snowfall. They want more accurate questions and more accurate answers.

Higher demands on the mobile side

The voice interface has been favored by more and more people. A traditional search experience that provides a bunch of blue links to various articles and ads doesn't spark interest in the mobile side.

With the advent of the information age, people have more and more knowledge of digitalization, and the expectation of searching technology to answer complex questions is more and more high, especially in the busy time. They cannot tolerate slowly experiences, interruptions to work by advertising, or search tools that cannot answer questions.

Prospects for future searches

Authority. The degree to which content is edited, supervised, and organized will be enhanced, which will contribute to the improvement of authority.

Accurate. Future search technologies will be able to accurately understand user queries and provide users with the content they need in an easy-to-understand format.

Adaptability. Today society consumes different types of media content, in addition to text, data, video, and visualization. Future searches will provide the user with the content in a timely and appropriate form.

We've created a world where information is free, and anyone who has doubts can take it at any time. In addition, advertising and earning a personal reputation are also available to promote the sharing of wisdom on the web. However, information is fragmented and there is no need for a process of output. Online communities have many people who are willing to give their "expertise", but these people are not always credible.

In addition, there is currently a pattern: on numerous small sites published on a variety of sources for minor changes in the content. This model is not sustainable and is not enough to help people solve unique and complex problems. The experience of this model has limitations and is nothing new. In order to create a new generation of search ecology, we have a lot to do in addition to editing other people's content.

Knowledge map will drive new search

Google Maps is a good example of what future searches will look for-enhanced public data driven by knowledge maps. Google has thousands of employees who are responsible for correcting errors, the machine learning AI that resolves the address, a Street View car that travels on the streets to collect ground data, a satellite that is not engraved on the camera, and so on. With the support of these infrastructures, Google can present all aspects of the world in real time and answer questions about geospatial issues, even if they have never been mentioned before.

In the future, humans will continue to ask more complex questions, and future search technologies need to adopt similar architectural models for each category of knowledge. It is not possible to achieve an efficient search experience if it is not integrated into a certain level of complex patterns or infrastructure in the knowledge-building process. And this complexity needs to be applied in all future data areas. Google has begun to achieve more structured results in its search products, but still lacks a lot of information. Since search is based on crawling other people's content, where does the data come from? Can Google change its model and become a content producer?

Google is actively investing in the Knowledge Atlas sector, and Microsoft, IBM Watson, Apple, Yahoo and many others are working to develop their own knowledge atlas. The knowledge map allows people to ask questions in a precise way and get answers immediately, even if no one has ever asked the question. Future searches must cover a broad enough range to ensure that information is accurate and that results are delivered instantly.

Google's Dilemma

While Google is clearly a powerful leader in search, it has to face one of the biggest challenges that all successful technology companies need to overcome-the plight of innovators. Google has grown in the world of desktop computers, allowing people to accept search engines that present content and advertising at the same time. But today's world is not a desktop computer-dominated world. When 90% of revenue comes from advertising, how does a company have swing space? What to do when mobile ads aren't as profitable as expected? How do advertisers show ads in Apple Watch? What do you do when there is no definitive answer to how voice assistants such as Siri generate revenue from ads?

As the paradigm shifts, the leading companies in the industry may be weak in their own self-preservation, opening the window of opportunity for new players. The rise of the mobile sector has put a lot of pressure on search companies, who will soon be embracing the shifting trends of conversational tools such as voice and communications. In many ways, Google has the most favourable conditions to dominate the world. It has the advantage of data and expertise. This is the point where Google is stuck in the innovator's predicament. If its innovation interferes with existing markets, it will have the greatest negative impact on its own profitability. But if others are less qualified than Google's, Google will reduce innovation, which will ease the shake-up of existing markets, but Google's own source of revenue will be more durable.

Strong competitor

Who is a strong competitor in the search field?

Apple CEO Tim Cook announced at the WWDC conference that Siri will be open to developers. But he didn't stop there. Apple has been investing heavily in conversational interfaces and creating a new ecosystem that includes opening imessage to developers. Several killer apps are expected to carve out market share in sports scores/statistics, news, restaurant reviews, etc. from search engines. Is Apple's new API powerful enough to create the right opportunities? How can iphone users quickly embrace this new paradigm?

Facebook didn't impress the industry when it launched its smart assistant m. But CEO Mark Zuckerberg is rapidly developing the AI ecosystem of Facebook. Messenger and WhatsApp are the world's largest instant messaging platforms. Smartphone users spend a lot of time on Facebook's messenger and WhatsApp, perhaps more time than some native iOS apps such as IMessenger. The shift from a single app to a session has made Facebook more dominant than Apple.

Amazon is an interesting competitor. Its revenue comes from the retail business, so in theory it can provide a free response whenever an order is available. Google, in contrast, relies on advertising for 90% of its revenue streams. Amazon's voice assistant, Alexa, has not broken its own business model, but improved it. By getting people accustomed to talking to Alexa, they will become more and more accustomed to dealing with Amazon. What would be the result? Buy more from Amazon. They are less concerned with advertising, and the main concern is buying goods. Which company is going to make this a reality? Google has done well in the field of maps, but has faced difficulties in disrupting its existing patterns through ordinary search operations. Bing has made some interesting attempts at structured search, but there is nothing transformative about it compared to Google. Siri made an early attempt, but Apple delayed its further investment for several years. Facebook has taken some good steps, but we haven't seen any tangible results yet. An occupation of the future search market has begun, the multi-race situation is about to be opened.

One thing is for sure: whichever side wins, it will create the world's largest database.

The future Baidu Google search will be like this: beautiful