Active Service System of New Media Information Knowledge Based on Artificial Intelligence
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In the era of rapid development of Internet information technology, Internet communication has even surpassed traditional newspapers, televisions and other media, and has become an important channel for people to communicate with each other. But people's demand for information is increasing day by day, and there are more and more types of information and more and more complex forms of expression. There is an urgent need to establish an active service system for information, so that people can better learn knowledge, master and apply information. Based on the above background, the purpose of this article is to study the artificial intelligence-based network new media information knowledge active service system. This paper analyzes the intelligent information push-pull technology that incorporates artificial intelligence, knowledge discovery and other technologies in detail, and uses this as the theoretical basis. This paper makes a basic content design for the artificial intelligence-based knowledge information active service system. And the system framework and work flow of the system are studied in depth. The agent design method based on JADE (Java Agent Development Framework) is used to design and implement a knowledge information active service system. This paper analyzes the performance of the system and finds that when the number of concurrent users reaches 2000, the server CPU and memory usage rate does not exceed 60%. It can be seen from this that the system can meet actual needs.
Artificial Intelligence; New Network Media; Intelligent Push-Pull Technology; Information Knowledge; Active Service System