| Popis: |
The user experience is the foundation for many enterprises to settle down. One of the key points to improve the user experience is to solve the user’s problems immediately and at any time. Therefore, more and more enterprises have added online customer service and other modules in the service software to respond to customer needs at any time. On the other hand, enterprises must find a balance between improving customer experience and controlling human cost. Automatic response system can achieve zero cost and 24-hour duty, which is limited to most enterprises. However, there are some problems in traditional methods, such as single guessing information, low guessing probability and poor user experience. The purpose of this paper is to provide a multi round interactive semantic analysis method based on Solr engine, which can effectively solve the above-mentioned core problems: single guessing information, low guessing probability and poor user experience. The purpose of this paper is to provide a Solr engine based multi round interactive semantic analysis method for power enterprises. In addition to effectively solving the above core problems, it can also improve the accuracy of the semantic analysis results, so that the user consultation module can get a better user experience, use the multi round interactive semantic analysis method, and output the analysis results of user emotion dimension. |
