User-task associated crowdsourcing task recommendation method based on graph neural network

• Main Authors: XU MING, ZHANG BAOMING, YAO YIRONG, WANG CHONGJUN, ZI SHUAI
• Format: Patent
• Language: Chinese; English
• Published: 10.09.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention discloses a user-task associated crowdsourcing task recommendation method based on a graph neural network, and the method comprises the steps: collecting the interaction information between users generated by real users, the information of crowdsourcing tasks historically undertaken by the users, and the preference label information of the users for tasks through a crowdsourcing task platform, and respectively constructing a user association graph, a task association graph and a user-task association graph; respectively training by using a graph neural network so as to obtain preliminary vector representations of the user and the product; utilizing the new graph neural network to reserve crowdsourcing task information undertaken by the user in history; and through the learned user and product representation, obtaining a task recommendation list for the user. According to the method, the task recommendation information for the user is obtained, and for the newly-added user, if the connection betw