Method for recommending effective answerer based on crowdsourcing mode

Abstract

The invention discloses a method for recommending an effective answerer based on a crowdsourcing mode. The implementation process of the method comprises the following steps: firstly, releasing a task; then, acquiring all answerers participating in task answering from a platform for releasing the task; obtaining behavioral data of the answerers by means of evaluative dimension; processing the data acquired from the platform so as to obtain a sorting result of the answerers and further achieve the aim of recommendation. Compared with the prior art, the method for recommending the effective answerer based on the crowdsourcing mode can be used to obtain the effective answerer, namely, the answerer who can provide a satisfactory solution for an employer, by using a recommendation method, thus effectively reducing the time and energy, consumed by screening the answerer in a great deal of network information, of a task publisher; furthermore, the method has the advantages of high practicality and wide application scope, thus having good popularization and application values.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to a method for recommending effective answerers based on a crowdsourcing model. Background technique [0002] With the development of the Internet, the rise of crowdsourcing has caused changes in production organizations. Crowdsourcing will become a value network that breaks through the boundaries of enterprises, and connects professional or interested people located all over the world to become a company that can produce economic value. unit. The rapid development of the crowdsourcing model has effectively expanded the scope of e-commerce and formed a new e-commerce model. In the crowdsourcing mode, enterprises can publish their own problems through the network crowdsourcing platform, and provide certain funds to recruit talents to solve the company's problems. At the same time, solvers can find suitable tasks on the crowdsourcing platform, and have the opportunity...

AI Technical Summary

Problems solved by technology

However, it is very time-consuming and labor-intensive to select a solution that satisfies the enterprise among a large number of solutions, causing some enterprises to be discouraged by the crowdsourcing model

[0004] At present, the crowdsourcing platform still lacks an effective solution to the above problems. Based on the above reasons, a method of recommending effective answerers based on the crowdsourcing model is proposed, and the effective answerers can be obtained through the recommendation method, that is, Answerers who can provide satisfactory solutions for enterprises (employers)

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