Information evaluation processing method

Abstract

The invention relates to an information evaluation processing method. The information evaluation method comprises the steps of obtaining evaluation reference rule information; acquiring user attributeinformation according to preset first system setting time by a server, and determining a user ID of the first type of users according to the user attribute information; obtaining user basic information according to the user ID, and determining evaluation reference parameters of each user according to the user basic information; inquiring evaluation performance parameters of each user in a presettime period before the first system setting time according to the user ID; performing weighted quantization processing according to the evaluation reference parameters and the evaluation performance parameters to generate evaluation data of the user; sorting the evaluation data of all the first type of users to obtain evaluation ranking information; determining a second user according to the firstpreset proportionality coefficient or the first preset quantity and the evaluation ranking information; and adding user basic information items to the second user, and adding evaluation item information corresponding to the evaluation item ID to the user basic information.

Description

technical field [0001] The invention relates to the field of information technology, in particular to an information evaluation and processing method. Background technique [0002] Personnel assessment is playing an increasingly important role in modern enterprise management, and an effective assessment method is especially important for group companies. A successful assessment and evaluation method not only values ​​its assessment function, but more importantly, its role in promoting the enthusiasm of employees. However, there is a large amount of workload in manual assessment and assessment, and the real-time and accuracy of assessment and assessment data cannot be guaranteed. [0003] When the existing public institutions or schools evaluate the award candidates, they are mostly evaluated according to a single evaluation standard, which cannot achieve all-round fairness and justice, and the rewards obtained by the awardees are single, which cannot meet the needs of all a...

AI Technical Summary

Problems solved by technology

However, there is a lot of workload in manual assessment and evaluation, and it is impossible to guarantee the real-time and accuracy of assessment and evaluation data

[0003] When the existing public institutions or schools evaluate the award candidates, they are mostly evaluated according to a single evaluation standard, which cannot achieve all-round fairness and justice, and the rewards received by the awardees are single, which cannot meet the needs of all awardees. need

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