Crowdsourcing task personalized recommendation method and system based on deep learning

Abstract

The invention provides a crowdsourcing task personalized recommendation method and system based on deep learning, and relates to the technical field of task recommendation. According to the method, key information in data can be effectively obtained by utilizing the advantages of selective attention of an Attention mechanism on a hidden layer state, accuracy of time sequence prediction of an LSTM network and the like, so that interest changes and core concerns of crowdsourcing workers on task selection are obtained, dynamic factor capture of whole behavior sequence changes of a user is realized, and the user experience is improved. And by introducing a Word2Vec word vector model, the similarity correlation degree between the crowdsourcing worker and the task is calculated, and the crowdsourcing task is accurately recommended to the crowdsourcing worker. Meanwhile, crowdsourcing data are segmented into structured data and unstructured data, and explicit features and implicit features of historical behavior information are obtained from the structured data and the unstructured data, so that more valuable potential feature information is mined, and recommendation accuracy is further improved.

Description

technical field [0001] The invention relates to the technical field of task recommendation, in particular to a method and system for personalized recommendation of crowdsourcing tasks based on deep learning. Background technique [0002] With the rapid development of Internet technology and the explosive growth of network users, the crowdsourcing model that uses group wisdom to solve problems has emerged as the times require. Under the uniqueness of this swarm intelligence, tasks are no longer limited to specific and isolated working communities, but are released on the platform in a crowdsourcing manner, and crowdsourcing tasks are completed in a competitive and cooperative manner. This cross-regional, Emerging development methods across time have become a common solution. In recent years, crowdsourcing has also received extensive attention in both academia and industry in the computer field. [0003] The existing crowdsourcing task recommendation method considering genera...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies of the prior art, the present invention provides a method and system for personalized recommendation of crowdsourcing tasks based on deep learning, which solves the technical problem of inaccurate recommendation results of existing crowdsourcing task recommendation methods

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