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Live streamer stable retention rate prediction method, device and equipment and storage medium

A prediction method and retention rate technology, applied in the field of live broadcast, can solve problems such as calculation lag, unfavorable operation strategy adjustment, anchor resource redistribution, and difficulty in obtaining a stable retention rate on t-day as soon as possible, so as to achieve the effect of improving accuracy

Active Publication Date: 2019-07-23
GUANGZHOU HUYA INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Obviously, the stable retention rate on day t needs to wait until 6 days before it can be calculated. There is a lag in calculation, and it is difficult to obtain the stable retention rate on day t as soon as possible, which is not conducive to timely adjustment of operating strategies and reallocation of anchor resources

Method used

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  • Live streamer stable retention rate prediction method, device and equipment and storage medium
  • Live streamer stable retention rate prediction method, device and equipment and storage medium
  • Live streamer stable retention rate prediction method, device and equipment and storage medium

Examples

Experimental program
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Effect test

Embodiment 1

[0026] figure 1 It is a flow chart of a method for predicting the anchor’s stable retention rate provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where the anchor’s stable retention rate is predicted on the calculation day of the stable retention rate. This method can be used by the anchor’s stable retention rate The rate prediction device can be implemented, and the device can be composed of hardware and / or software, and is generally integrated in electronic equipment. combine figure 1 , the method provided in this embodiment specifically includes the following operations:

[0027] S110. Obtain the live broadcast data of the anchor and the behavior data of the user.

[0028] In an optional implementation manner, the electronic device pulls a host's live video stream, and the live video stream includes not only live images, but also various data such as the number of users in the live room, barrage, gifts, and comments. Based...

Embodiment 2

[0039] This embodiment further optimizes the optional implementation manners of the foregoing embodiments, specifically, a growth rate index and / or a historical index are added to the calculation index. figure 2 It is a flow chart of a method for predicting the anchor’s stable retention rate provided in Embodiment 2 of the present invention, including the following operations:

[0040] S210. Obtain the live broadcast data of the anchor and the behavior data of the user.

[0041] S220. According to the live broadcast data of the anchor and the behavior data of the user, calculate the calculation index of the stable retention rate. The calculation indicators include: the live broadcast indicators of the anchor and the behavior indicators of the users within the calculation day; and also include: growth rate indicators and / or historical indicators.

[0042] For the growth rate index: the growth rate of the anchor’s live broadcast index relative to the calculation day in the his...

Embodiment 3

[0050] This embodiment further optimizes the optional implementation manners of the foregoing embodiments. Specifically, this embodiment provides a training operation of a prediction model, so as to directly predict the stable retention rate according to the prediction model. image 3 It is a flow chart of a method for predicting the anchor’s stable retention rate provided by Embodiment 3 of the present invention, which specifically includes the following operations:

[0051] S310. Obtain a stable retention rate sample on a historical calculation day and a calculation index sample of the stable retention rate sample.

[0052] For the convenience of description and distinction, the stable retention rate and calculation indicators required for training the prediction model are called stable retention rate samples and calculation indicator samples, respectively.

[0053] Specifically, multiple historical calculation days are obtained, such as t-10, t-11, t-20, etc., and the stabl...

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Abstract

The embodiment of the invention discloses a live streamer stable retention rate prediction method and device, equipment and a storage medium. The method comprises the steps of obtaining live streamingdata of a live streamer and behavior data of a user; according to the live streaming data of the live streamer and the behavior data of the user, counting a calculation index of the stable retentionrate, wherein the calculation index comprises a live streaming index of the live streamer and a behavior index of the user in a calculation day; and inputting the calculation index into a preset prediction model to obtain the stable retention rate of the calculation day. According to the embodiment of the invention, the stable retention rate can be effectively predicted on the day of the calculation day without waiting for 6 days of the calculation day, and the adjustment of the operation strategy and the redistribution of live streamer resources can be timely carried out.

Description

technical field [0001] Embodiments of the present invention relate to live broadcast technology, and in particular to a method, device, device, and storage medium for predicting a stable retention rate of anchors. Background technique [0002] In the field of live broadcasting, the stable retention rate of users on the live broadcast platform can effectively measure the stable stickiness of new users of the host, and is a verified, reference value, and effective core indicator for evaluating the host. [0003] At present, the calculation formula for the stable retention rate on day t is: the number of unique visitors (UV) of new users who enter the live broadcast room for more than 3 days in the next t+6 days is the same as the number of unique visitors (UV) who enter the live broadcast room for 2 days The ratio of the number of unique visitors above. Obviously, the stable retention rate on day t cannot be calculated until 6 days later, and there is a lag in the calculation...

Claims

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Application Information

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IPC IPC(8): H04N21/442H04N21/2187H04L12/24
CPCH04L41/145H04L41/147H04N21/2187H04N21/44213H04N21/44218
Inventor 赵凡
Owner GUANGZHOU HUYA INFORMATION TECH CO LTD
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