Research on Question Answering System of Intelligent Robot Based on Deep Learning

The preset function modules of intelligent customer service robot question-answering system are usually executed on the basis of the imported question-answering objectives, and the question-answering has deviation, which leads to the stable recall rate. Therefore, the design and research of intelligent customer service robot question-answering system based on deep learning are proposed. According to the current measurement, we access the central processing unit, set up DM368 memory control and voice circuit, and realize the design of system hardware; Combined with deep learning technology, the question-and-answer deviation is controlled, and the question-and-answer function module of customer service robot is designed, and the application connection with dynamic switching database is established to realize the design of system software. The system test shows that: For randomly selected test groups, in the context of 6 time periods, the deep learning intelligent customer service robot Q&A system designed this time has a faster task processing speed and a higher recall rate, which shows that the system itself has strong pertinence and stability, and the Q&A processing efficiency is obviously improved, which has practical application value and innovative significance.