A user confidence analysis method and system based on crowd intelligence tasks

Abstract

The invention belongs to the field of education technology, and discloses a user confidence analysis method and system based on crowd intelligence tasks. The analysis method includes: the user selects a task field, and initializes the user's confidence in the field; Users with unknown confidence levels jointly complete the tasks issued by the system; update user confidence levels according to the user's completion of tasks. In the process of completing the crowd intelligence task, the present invention completes the confidence evaluation update of each user in the corresponding field through the model; for a user whose ability is unknown, after completing a certain number of tasks, the user's confidence can accurately reflect the user's confidence in the corresponding field. domain capabilities; for users whose capabilities are known, further updating the confidence level in this domain can more accurately measure the user's current capability level.

Description

technical field [0001] The invention belongs to the field of education technology, and in particular relates to a user confidence analysis method and system based on crowd intelligence tasks. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] In the information age, the Crowdwisdom Mission has fully utilized the collective wisdom of interactive creation, using the collective wisdom to realize the co-creation, co-construction and sharing of information, and has achieved remarkable results. Apps such as Wikipedia and Google Translate are integrated into the Crowdwisdom task mechanism, which gathers the power of the public to complete the annotation and translation of massive entries. The Crowdwisdom task model will become the mainstream trend of the information age. [0004] The ability level of different users is different, and the ability of the same user in different fields is also different. Therefore...

AI Technical Summary

Problems solved by technology

[0007] (1) Set up a separate link to evaluate the user's ability, and the user is prone to rejection or contempt;

[0008] (2) For a user whose ability is unknown, after completing a certain number of tasks in different fields, the calculated confidence of the user cannot accurately reflect his field ability in a certain aspect;

[0009] (3) For users with known abilities, if the confidence in this field is not further updated, the current ability level of the user cannot be accurately evaluated

Images