Method and device for pushing content

A device, comprising:

• a memory, used for storing computer readable instructions;
• and one or more processors, configured to run the computer readable instructions to execute the operations of a method comprising the steps of:
• acquiring at least one of information related to a vehicle and information related to a driver of the vehicle;
• determining information characterizing potential demand of the driver on knowledge related to the vehicle based on the acquired information;
• selecting content to be pushed to the driver based on the information characterizing the potential demand of the driver on the knowledge related to the vehicle, wherein the content comprises the knowledge related to the vehicle;
• and
• pushing the selected content to a mobile terminal of the driver,
• wherein the step of selecting content to be pushed to the driver based on the information characterizing the potential demand of the driver on the knowledge related to the vehicle further comprises the steps of:
• selecting content to be pushed to the driver from the vehicle learning knowledge base, wherein the vehicle learning knowledge base is constructed by the following operation:
• (i) collecting user interaction data related to the vehicle from a public media source and a call center;
• (ii) analyzing and integrating the user interaction data to determine:
• information related to the vehicle and/or information related to the driver of the vehicle that is involved with the user interaction data and, thus determining the information characterizing the potential demand of the driver on the knowledge related to the vehicle, and a question related to the vehicle and an answer to the question as the knowledge related to the vehicle;
• and
• (iii) constructing the vehicle learning knowledge base based on the determination, wherein the vehicle learning knowledge base stores the information characterizing the potential demand of the driver on the knowledge related to the vehicle in connection with the knowledge related to the vehicle, and the method further comprises the steps of:
• re-collecting user interaction data from the public media source and the call center;
• determining change of the re-collected user interaction data relative to the previous user interaction data;
• and
• updating, based on the change, the information characterizing the potential demand of the driver on the knowledge related to the vehicle and the knowledge related to the vehicle.

A non-transient computer readable storage medium, storing computer readable instructions, wherein when the instructions are executed by one or more processors, the processors execute the operations of a method comprising the steps of:

• acquiring at least one of information related to a vehicle and information related to a driver of the vehicle;
• determining information characterizing potential demand of the driver on knowledge related to the vehicle based on the acquired information;
• selecting content to be pushed to the driver based on the information characterizing the potential demand of the driver on the knowledge related to the vehicle, wherein the content comprises the knowledge related to the vehicle;
• and
• pushing the selected content to a mobile terminal of the driver,
• wherein the step of selecting content to be pushed to the driver based on the information characterizing the potential demand of the driver on the knowledge related to the vehicle further comprises the steps of:
• selecting content to be pushed to the driver from the vehicle learning knowledge base, wherein the vehicle learning knowledge base is constructed by the following operation:
• (i) collecting user interaction data related to the vehicle from a public media source and a call center;
• (ii) analyzing and integrating the user interaction data to determine:
• information related to the vehicle and/or information related to the driver of the vehicle that is involved with the user interaction data and, thus determining the information characterizing the potential demand of the driver on the knowledge related to the vehicle, and a question related to the vehicle and an answer to the question as the knowledge related to the vehicle;
• and
• (iii) constructing the vehicle learning knowledge base based on the determination, wherein the vehicle learning knowledge base stores the information characterizing the potential demand of the driver on the knowledge related to the vehicle in connection with the knowledge related to the vehicle, and the method further comprises the steps of:
• re-collecting user interaction data from the public media source and the call center;
• determining change of the re-collected user interaction data relative to the previous user interaction data;
• and
• updating, based on the change, the information characterizing the potential demand of the driver on the knowledge related to the vehicle and the knowledge related to the vehicle.