5. The method of claim 1 , wherein the method further comprises: selecting preferred action data from the at least one piece of candidate action data based on the user conversation state and a decision rule, and the generating the response text data based on the at least one piece of candidate action data comprises: generating the response text data based on the preferred action data.
5. The method of claim 1 , wherein the method further comprises: selecting preferred action data from the at least one piece of candidate action data based on the user conversation state and a decision rule, and the generating the response text data based on the at least one piece of candidate action data comprises: generating the response text data based on the preferred action data. 6. The method of claim 5 , wherein the decision rule is one of a predetermined action priority and a preset action decision model, and the selecting the preferred action data from the at least one piece of candidate action data comprises: acquiring a feature function value corresponding to each of the at least one piece of candidate action data based on the action decision model, and selecting candidate action data corresponding to a maximum of the feature function values as the preferred action data.