If we look back at the evolution and development of the AI ​​field over the past 50 years, the biggest achievement is the algorithm that is groundbreaking for AI research. Perhaps in the next 10 years, we will not think that chat robots have anything special, but instead take it as a kind of black technology like an app or an imaginary one.
Artificial intelligence slams into the chat robot into an important cutWith the rapid advancement of technology and market, artificial intelligence is becoming an important entry point for data, services and products to access human life. The evolution and development of chat bots has slowly integrated into people's daily lives. From virtual assistants on mobile phones to actual online customer service, the development of chat bots is not short. As the basic elements of the commercial development of chat bots mature, the ecosystem is gradually established. Google develops the chat bot App-GoogleAllo, Microsoft launched the ChatBot chat bot, and Toyota will release the mini-chat robot "KIROBOMINI" next year. The more companies start to enter the chat bot. Today, Xiaobian takes you back to review this technology and see its opportunities and challenges.
In the mid-1960s, computer scientist Joseph Weizenbaum invented the first chatbot (chat bot) - Eliza. Eliza uses pattern matching and alternatives to simulate conversations, presenting the illusion that programs can better understand people's problems, temporarily letting a real human think they are chatting with another person.
After that, a variety of robots with different uses were developed. One of the representative chat robot systems is ALICE. ALICE was produced in 1995 and won three awards in 2000, 2001 and 2004. The AIML released with ALICE is widely used. After ALIC, there are a variety of chat robots using machine learning technology, Microsoft Xiaobing, AppleSiri, Baidu secret and so on.
Today's chat bots understand what people are saying, generally based on NLP (Natural Language Processing) to set specific semantics for written or spoken language. In addition, many chat bots use professional system software that imitates human experts to make decisions and extract a small amount of information to answer questions.
With the rise of deep learning and the successful application of AlphaGo for deep learning, chatbots have new technical means, and some chatbot manufacturers have begun to try to apply deep learning technology. It is believed that in the near future, more chat bots will adopt deep learning methods, access massive data, predict problems and respond quickly to a wide range of topics in order to be able to answer relevant questions in a timely manner.
Chat robot specific application scenario
Always talking about chat bots, you might think of Microsoft's Xiao Bing and Xiaona, and Apple's Siri. Many people think they are very interesting, but in most cases, there is no useful technology. But in recent years, it has some specific application scenarios, such as customer service, personal assistants, knowledge quiz, and chat.
Chat robot application scene division:
The robot type represents the product:Customer service robot small I robot, Jingdong JIMI robot, Ali Xiaomi merchant version
Personal assistant class AppleSiri, GoogleNow, Microsoft Cortana, Baidu secret, go out to ask, assistant also come
Knowledge Quiz IBMWatson, WolframAlpha
Talk to the robot Microsoft "Little Ice", WeChat "Xiaowei", "Little Yellow Chicken"
The main function of the customer service robot is to answer the questions raised by the user about the product or service, reduce the cost of the customer service operation, and enhance the user experience. Representative systems include Small I Robot, Jingdong JIMI Robot, Ali Xiaomi Merchant Edition and so on. The user communicates with the customer service robot to understand the product information, pre-sales, after-sales and other issues. Generally speaking, when the robot can't answer the user's question, the system will provide some mechanism to turn the user to the manual customer service. The customer service robot is a typical business robot, and the chat topic is generally in a secondary position in the customer service robot. The key to doing a customer service robot is to obtain information about products and services and to master detailed business rules. Therefore, companies like Ali and JD.com have large amounts of commodity information and develop their own business rules and processes. Relatively speaking, it is easier to develop practical customer service robots than other companies.
The personal assistant class interacts with the chat bot via voice or text, such as weather, schedule management, order takeaway, taxi, etc., to help users with their daily affairs. Assistant applications include AppleSiri, GoogleNow, Microsoft Cortana, Baidu Secret, go out to ask, assistants and so on. AppleSiri is known for its speech recognition. It can be used to operate mobile phones with voice on Apple terminals. It is a representative personal assistant. Although the assistant application is a personal assistant, more people just experience it or use it as an entertainment tool. In addition to the limitations of speech recognition and natural language processing technology, the more important factor is that it is not suitable for some scenarios, such as order delivery. Now, mobile e-commerce is very mature, can be a one-click shopping, and has a good UI experience, much faster than using voice or typing, voice is limited by the environment (such as noisy environment), and there are privacy issues. Therefore, the most important part of the personal assistant class is to select the application scenario. For example, the car smart device is a very suitable scenario. When driving, it is impossible to operate by hand, the voice is safer, the car environment is relatively quiet, and there is generally no privacy problem.
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