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A live room recommendation method, storage medium, electronic device and system

A recommendation method and live room technology, which is applied in the fields of electrical digital data processing, instruments, calculations, etc., can solve the problems of one-sided similarity measurement judgment standards and no consideration of viewing conditions, etc., and achieve the effect of objective calculation and comprehensive calculation results

Active Publication Date: 2021-05-28
WUHAN DOUYU NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The disadvantage of this method is that it only considers the viewing users in two rooms, but does not consider the viewing conditions of these users in other rooms, and only uses partial information, and the similarity measurement standard is relatively one-sided

Method used

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  • A live room recommendation method, storage medium, electronic device and system
  • A live room recommendation method, storage medium, electronic device and system
  • A live room recommendation method, storage medium, electronic device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] see figure 1 As shown, the embodiment of the present invention provides a live room recommendation method, including the following steps:

[0063] S1: Calculate the quality scores of N live rooms according to the preset live room quality scoring process, where N is an integer greater than 1, and the N live rooms are groups of live rooms to be scored. Calculate the quality score of each live room in the live room group to be rated, so that the system can judge the quality of the live content of the live room by comparing the values. If the similarity between the live broadcast rooms in terms of common tags is not much different, the system can further calculate and measure the similarity between the live broadcast rooms by calculating the quality score of the live broadcast rooms. At the same time, it can avoid the situation that a certain live room in the live room group to be rated and the designated live room have similar labels, but the quality of the live broadcast...

Embodiment 2

[0110] In addition, corresponding to the above-mentioned live room recommendation method, the embodiment of the present invention also provides an embodiment of an electronic device, the electronic device stores a computer program, and when the computer program is executed by a processor, the timer setting method described in the above-mentioned embodiments is implemented A step of. It should be noted that the electronic device includes a memory and a processor, and a computer program running on the processor is stored in the memory. When the processor executes the computer program through the following specific steps, the following steps are realized:

[0111] Calculate the quality scores of a plurality of N live rooms according to the preset live room quality scoring process, where N is an integer greater than 1, and the N live rooms are groups of live rooms to be scored.

[0112] Calculating the similarity of the common label between each of the multiple live rooms in the l...

Embodiment 3

[0119] Such as figure 2 As shown, the embodiment of the present invention also provides a live room recommendation system, which includes:

[0120] The first calculation module 1 is used to calculate the quality scores of N live rooms according to the preset live room quality scoring process, where N is an integer greater than 1, and the N live rooms are groups of live rooms to be scored. Set the first calculation module to calculate the quality score of each live room in the live room group to be rated, which can reflect the quality of the live content in the live room numerically. If the similarity between the labels of the live room is not much different, the quality score can Further calculate and measure the similarity between live broadcasts. At the same time, it can avoid the situation that the live broadcast room to be evaluated and the designated live broadcast room have similar labels, but the live broadcast quality is very different, but they are recommended to cu...

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Abstract

The invention discloses a live broadcast room recommendation method, storage medium, electronic equipment and system, and relates to the field of big data recommendation, which can recommend the user's preferred live broadcast room for the user according to the specified live room, and specifically includes the following process: according to the preset The assumed live room quality scoring process calculates the quality scores of N live rooms, where N is an integer greater than 1, and the N live rooms are groups of live rooms to be scored. Calculate the similarity of the common label between each live room in the live room group to be rated and the specified live room. Input the quality score and the similarity of the common label into the preset recommendation index algorithm to obtain the recommendation index of each live room in the live room group to be rated. The live broadcast rooms whose recommendation index exceeds the preset recommendation index threshold are used as the recommended live broadcast rooms, or the recommendation indexes are sorted, and the preset number of live broadcast rooms with the highest ranking are used as the recommended live broadcast rooms. The present invention can better calculate the similarity between live broadcasts.

Description

technical field [0001] The invention relates to the field of big data recommendation, in particular to a live room recommendation method, storage medium, electronic equipment and system. Background technique [0002] With the development of live broadcasting, more and more people watch live broadcasting, and the content involved in live broadcasting is becoming more and more extensive. The data that the live broadcasting platform needs to process is gradually becoming more and more complex. [0003] In the application field of big data, one of the main development directions is to make personalized recommendations to different customers according to their own massive data. In the live broadcast platform, the more commonly used recommendation strategy is to recommend similar rooms to the user based on the rooms the user has seen. For multiple recommended live broadcast rooms, which one is more similar to the live broadcast rooms watched by the user needs to be measured. The...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535
Inventor 王璐陈少杰张文明
Owner WUHAN DOUYU NETWORK TECH CO LTD
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