Human-machine dialogue method and electronic device

Abstract

Disclosed is a human-computer dialogue method including determining a set number of jump topics about a target topic, and generating a topic jump map converging to the target topic based on the correlation intensions among the set number of jump topics; after an initial response to a user's dialogue request, selecting from the topic jump map a jump topic to which the user's dialogue request relates as an initial topic for a first round of recommendation; after completing a human-machine dialogue of the initial topic, determining a jump topic to jump according to the jump probability of jumping out of the initial topic to the k jump topics at the downstream level for a next round of recommendation; and gradually guiding from the initial topic to the target topic by step-by-step recommendation. A more fluent and efficient human-machine dialogue based on a clear communication goal can be realized.