With the updated Internet technology, big data technology has been widely used in different occupations. In the big data technology background, application of artificial intelligence customer service system not only can reverse the previous customer marketing model, can effectively reduce the workload of manual customer service, so as to continuously improve the service level of customer service. Therefore, it is necessary to continue to use Big Data technologies in the development of artificial intelligence in order to gradually improve the efficiency of intelligent customer service system.
Integrates multiple technologies based on artificial intelligence customer service system in the context of big data. Starting from specialized, personalized knowledge base construction, proposed the use of knowledge maps, portraits of analysis and other technical users to upgrade intelligent customer service system, increase availability, reduce maintenance personnel pressure, effective solution to the traditional customer service system knowledge base updates slow, system mental retardation, poor sense of service issues. Big Data applications in artificial intelligence technology continues customer service system, has an important role to effectively alleviate the pressure of artificial customer service, to provide users with better services, and promote the development of business intelligence industry. And implemented Big Data technologies and artificial intelligence systems effective customer service integration to ensure application performance big data technology into full play, enhance the operation and management level of enterprises from the general idea and integration examples.
Application of artificial intelligence in the customer service system, the key technology is mainly related to the voice recognition key technologies, natural language processing, knowledge base management of key technologies, key speech synthesis technology, mainly the following:
Key speech recognition technology
For speech recognition is concerned, is to make the robot artificial intelligence to identify, understand the language spoken by the customer, is a form of human-computer interaction technology, in recent years in the field of voice control, search field has been widely used as artificial intelligence-related one of the key technologies in high-quality customer service system applications.
2 key natural language processing technology
From natural language processing key technical level, it is through natural language, computer communicate with each other technical measures so that the computer can perform efficient communication and natural language used by the customer. The key technologies are mainly related to natural language understanding section, generate part.
3 key technologies of Knowledge Management
Knowledge is a very important part of customer service system, regardless of traditional customer service system or artificial intelligence system, the management of the process was the need to find from within the knowledge base of knowledge or to a very standard answer, then feeds it back to the customer. Currently there are many types of knowledge in the market, the most common is the frame type, the type of rule, several types of logic.
4 key speech synthesis technology
Such techniques during a particular application, also known as a text to speech conversion, from a substantive level, is related to the content of the text data transformed into voice data content, and its playback processing, which involves learning aspects of sound, voice science aspects, psychological aspects of digital signal processing technology frontier, will use multimedia technology synthesis, with the support of various types of high-tech can guarantee the performance of the work.
By Big Data technologies and artificial intelligence fusion system of effective customer service, it can be seen, intelligent automated customer service system is based on the knowledge base of Big Data technologies, standardization of the response can not only improve the quality of service throughout the system, but also to effectively meet customers’ need. But off-line business service entity function of the system also can automatically identify the customer’s voice demand, automatic query large data repositories, promote staff to provide more comprehensive Q & A information to customers, not only to improve the skills of workers to achieve the effective storage of theoretical knowledge , but also to meet customer demand response. By using big data technologies, customer identification information can be efficiently converted to data and information stored on the data platform, thus greatly improving the efficiency and level of development of enterprise data acquisition conversion.