Method for recommending effective answerer based on crowdsourcing mode

A crowdsourcing model, technology of solvers, applied in the direction of instruments, electronic digital data processing, buying/lease transactions, etc., can solve problems such as time-consuming and energy-consuming, prohibitive crowdsourcing models, lack of solutions on crowdsourcing platforms, etc., to achieve reduction Time and effort, a wide range of applications, good promotion and application value effects

A crowdsourcing model, technology of solvers, applied in the direction of instruments, electronic digital data processing, buying/lease transactions, etc., can solve problems such as time-consuming and energy-consuming, prohibitive crowdsourcing models, lack of solutions on crowdsourcing platforms, etc., to achieve reduction Time and effort, a wide range of applications, good promotion and application value effects

CN106776941AInactive Publication Date: 2017-05-31JINAN INSPUR HIGH TECH TECH DEV CO LTD
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  • Method for recommending effective answerer based on crowdsourcing mode
  • Method for recommending effective answerer based on crowdsourcing mode
  • Method for recommending effective answerer based on crowdsourcing mode

Examples

Experimental program
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specific example

[0040] Specific example: "Task China", which is a strong representative among crowdsourcing platforms, is used as the data collection sample platform. Randomly select one of the transaction tasks for analysis. The task is "company LOGO design", and the task type is LOGO design. Record the data in the table TASK.

[0041] According to the current task on the network platform, all the answerers who participated in the task are obtained, and the content is recorded in the table ANSWER, which is associated with the table TASK through TASK_ID.

[0042] Normalize the acquired data to obtain the normalized data;

[0043] Use the AHP-entropy weight method to obtain the weight of each evaluation index, and correlate the normalized data. The content is recorded in the table BEHAVIOR.

[0044] The function is established for the purpose of minimizing the square sum of the two kinds of deviations of subjective weight, objective weight and comprehensive weight: Get the final index we...

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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...

Claims

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Application Information

Patent Timeline
31 May 2017
Publication
CN106776941A
IPC
G06F17/30; G06Q30/06
CPC
G06F16/9535; G06Q30/0631; Y02D10/00
Inventors
崔俊啸