Revolutionizing Automotive Knowledge Acquisition
The platform adopts the third-generation conversational AI architecture and supports multiple rounds of contextualized queries. Its technological innovations are: the establishment of a semantic understanding model containing 4.7 million automotive terminology; the development of special algorithms for automotive comparative queries (such as dealing with the "Compare the maintenance cost of BMW 3 Series and Mercedes-Benz C-Class" type of questions); and the realization of the ability to extract cross-document knowledge. Tests have shown that the success rate of ordinary users in getting accurate answers through natural language queries reaches 91%, and the response time is controlled within 2.3 seconds. Compared with the fragmented information in traditional automotive forums, the answers provided by Cardog are characterized by data traceability (indicating the source), balanced viewpoints (displaying multi-party data), and timeliness marking (indicating the time of data collection), which significantly enhance the credibility of the information.
This answer comes from the articleCardog: Vehicle Information Research and Intelligent Analysis of Automotive Market Data》
