Crowdsourcing-based user demand active prediction method and system

• Main Authors: SHEN SHUZE, CHU BEI, WANG QINGREN, ZHANG YIWEN
• Format: Patent
• Language: Chinese; English
• Published: 16.03.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides a crowdsourcing-based user demand active prediction method and system, and the method comprises the following steps: S1, determining a labeler participating in a crowdsourcing task, and enabling the labeler to receive the crowdsourcing task and complete the task; s2, constructing a heterogeneous information network according to the user preference information; s3, generatinga user demand data space; s4, respectively learning representation vectors of the user and the demand object through a graph convolutional neural network; s5: performing demand prediction. Accordingto the invention, the user directly participates in information production and knowledge sharing through a crowdsourcing technology, preference information fed back by a crowdsourcing annotator can better reflect the real demand of the user, and the accuracy of a result can be improved by performing demand prediction in combination with the information; the user preference information collected inthe crowdsourcing mode enr