Method and device for dynamically adjusting target data hit based on time interval

Abstract

A method and apparatus for dynamically adjusting target data hits based on time intervals are disclosed. The method includes: dividing a unit time of any one target data hit event into N time periods;inputting target data corresponding to each of the N time periods into the each of the N time periods; when receiving a request for joining the target data hit event, recognizing a current time period in which the request is received, judging whether there is target data which has not been hit in the current time period; when judging that there is target data which has not been hit in the current time period, determining target data hit cardinality corresponding to the current time period and generating a random number; determining whether the request hits target data in the current time period by using the target data hit cardinality and the random number.

Description

technical field [0001] The present application relates to computer technology, and in particular to a method and device for dynamically adjusting target data hits based on time intervals. Background technique [0002] There are various forms of target data hit, and target data hit strategies and algorithms are also diversified. The following takes target data as a prize and target data hit as a prize as an example to describe the currently more commonly used target data hit methods: [0003] Method 1, the method 1 is to randomly calculate the number of winnings based on the number of prizes per day. When a certain user draws a lottery when the number of draws just matches the number, the user wins a prize; otherwise, the user does not win a prize. [0004] Method 2, the method 2 randomly calculates the time when the prize is won according to the number of prizes drawn every day, when the user draws a prize at this time, the user wins a prize, otherwise, the user does not win...

AI Technical Summary

Problems solved by technology

[0005] However, the above method 1 and method 2 all have obvious disadvantages:

[0006] Method 1 has obvious disadvantages. Assuming that the calculated number of winnings is 1000, then the reward points are all multiples of 1000. In this way, method 1 shows that the prizes are not truly random, lack of fairness, and are easy to be maliciously swiped.

[0007] And method 2, it also has disadvantages, because in method 2, the prize release time of all prizes is calculated, which will cause the number of winners to be concentrated at certain time points, making it impossible for users outside these time points to win prizes , unfair

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