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Knowledge crowdsourcing platform construction method based on incentive recommendation

A construction method and crowdsourcing technology, applied in the construction of a knowledge crowdsourcing platform based on incentive recommendation, in the computer field, can solve the problems of diversified incentive needs, low user participation enthusiasm, inability to meet users, etc., to improve participation enthusiasm and improve completion. Quality, the effect of solving the high cost

Active Publication Date: 2021-08-06
EAST CHINA NORMAL UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, user groups with different personalities have different pursuits of autonomy, individuality, and diversity, and have different motivations for task participation. The optimal task reward scheme should meet the incentive needs of different users
[0003] According to the analysis of existing crowdsourcing platforms, the current mainstream way to motivate users to participate and complete tasks is monetary incentives, which cannot meet the diverse incentive needs of users with different personalities. Publishers need to bear high monetary costs

Method used

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  • Knowledge crowdsourcing platform construction method based on incentive recommendation
  • Knowledge crowdsourcing platform construction method based on incentive recommendation
  • Knowledge crowdsourcing platform construction method based on incentive recommendation

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Embodiment

[0027] refer to figure 1 , figure 1 The flow chart of the construction method of the knowledge crowdsourcing platform based on incentive recommendation provided by the embodiment of the present invention includes the following steps:

[0028] Step 1: Construct the marking task completion mode under different incentive methods;

[0029] Build a personal challenge mode to satisfy self-achievement as the main incentive, a friend PK mode with social competition as the main incentive, and a normal mode with money as the main incentive.

[0030] Among them, the personal challenge mode is for a single person to complete the task alone, and the difficulty of the task gradually increases according to the user's ability, mainly to meet the motivation needs of the user's self-achievement; the friend PK mode is for two people to compete to complete the task, and the task difficulty has three types: easy, medium, and difficult. It mainly meets the incentive needs of users for social comp...

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Abstract

The invention discloses a knowledge crowdsourcing platform construction method based on incentive recommendation. The method comprises the following steps: constructing annotation task completion modes under different incentive modes; constructing and training an annotation task completion mode recommendation model LRC based on different incentives; according to the big five-character test value of the user, utilizing the model LRC to calculate recommendation probabilities of different annotation task completion modes, and recommending the different annotation task completion modes according to probability priorities; and distributing and guiding the user to complete the task according to the annotation task completion mode selected by the user, obtaining a user task completion result, and calculating a user reward in the corresponding task completion mode. According to the method, different task completion modes are provided and recommended, so that the external and internal requirements of the user on task completion are met, the money cost of a task publisher is reduced, and the crowdsourcing task completion quality is improved.

Description

technical field [0001] The invention relates to computer technology, in particular to the field of artificial hybrid intelligence, and in particular to a construction method of a knowledge crowdsourcing platform based on incentive recommendation. Background technique [0002] The current deep learning model requires massive data for training, resulting in a large number of labeling tasks. Different from expert labeling, it is a lower-cost option to use group wisdom to complete task labeling. However, user groups with different personalities have different pursuits of autonomy, individuality, and diversity, and have different motivations for task participation. The optimal task reward scheme should meet the incentive needs of different users. [0003] According to the analysis of existing crowdsourcing platforms, the current mainstream way to motivate users to participate and complete tasks is monetary incentives, which cannot meet the diverse incentive needs of users with d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/9536G06Q50/00
CPCG06F16/9535G06F16/9536G06Q50/01
Inventor 吴雯周锡雄贺樑马锐
Owner EAST CHINA NORMAL UNIV