Man-machine interaction topic transfer method based on collaborative knowledge graph

Abstract

The invention belongs to the field of man-machine interaction topic transfer, and particularly relates to a man-machine interaction topic transfer method based on a collaborative knowledge graph. The method comprises the steps that a candidate topic set and a similar user set are acquired according to the social relation and behavior history of topic participants; constructing a user-topic bipartite graph according to the candidate topic set and the similar user set; obtaining a knowledge graph, and fusing the user-topic bipartite graph with the knowledge graph to obtain a collaborative knowledge graph; inputting the collaborative knowledge graph into a man-machine interaction topic transfer model based on the collaborative knowledge graph to obtain a transfer topic; the topic participant takes the transferred topic as reply content to carry out topic switching; according to the method, two factors of similar users and similar topics are considered, the collaborative knowledge graph is constructed, the high-order relation between dialogue related information is fully mined, dialogue content features are greatly enhanced, dialogue topics are naturally and coherently switched in the man-machine interaction process, and the dialogue interest and satisfaction degree of topic participants are improved.

Description

technical field [0001] The invention belongs to the field of human-computer interaction topic transfer, and in particular relates to a method for human-computer interaction topic transfer based on collaborative knowledge graphs. Background technique [0002] In recent years, artificial intelligence technology has undergone profound changes. The new generation of chat dialogue systems has been widely used in practical scenarios such as entertainment chat robots, personal assistants, and company intelligent customer service, and has become one of the most promising technologies in the field of artificial intelligence. The current main applications of this technology include personal assistant systems such as Apple Siri, Microsoft Xiaobing, Google Allo and Baidu Dumi, as well as Amazon's Echo smart home service system and Alibaba's Xiaomi e-commerce smart customer service system. These intelligent dialogue products bring great convenience to people's daily life and solve variou...

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