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A live room recommendation method, device, equipment and medium

A recommendation method and live room technology, applied in the field of Internet live broadcast, can solve problems such as inaccurate live room recommendation

Active Publication Date: 2021-03-16
WUHAN DOUYU NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

It can be seen that the shortcoming of this algorithm is that the similarity between two users is only measured from the number of the same live room watched, so there is a problem of inaccurate live room recommendation

Method used

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  • A live room recommendation method, device, equipment and medium
  • A live room recommendation method, device, equipment and medium
  • A live room recommendation method, device, equipment and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] figure 1 It is a schematic flowchart of a method for recommending a live broadcast room provided in Embodiment 1 of the present invention. The method for recommending a live broadcast room disclosed in this embodiment is applicable to the case of performing personalized recommendations for a large number of users in a live broadcast room, so as to push live programs that the user likes to the user. The method can be executed by a device for recommending live broadcast rooms, wherein the device can be implemented by software and / or hardware, and is generally integrated in a terminal, such as a server. For details, see figure 1 As shown, the method includes the following steps:

[0031] Step 110, when it is necessary to recommend a live room for the current user, acquire the target user at the current moment.

[0032] Usually, the moment when it is detected that a user logs in to the live broadcast platform is the moment when the live broadcast room needs to be recomme...

Embodiment 2

[0052] image 3 It is a schematic flowchart of a method for recommending live broadcast rooms provided by Embodiment 2 of the present invention. On the basis of the above-mentioned embodiments, this embodiment is concerned with the above-mentioned step 130 "determine the target user's preference for the live broadcast room he has watched based on the target user's historical viewing behavior" and step 140 "according to the similarity And the "generating live room recommendation sets matching the current user with historical preference" has been further optimized. The advantage of optimization is that it can accurately determine the target user's preference for the live room that the target user has watched and the live room that the current user has not watched. The favorite degree of the live room, so as to improve the accuracy of the recommendation of the live room. For details, see image 3 As shown, the method includes the following steps:

[0053] Step 310, when it is ...

Embodiment 3

[0067] Figure 4 It is a schematic structural diagram of a device for recommending a live broadcast room provided in Embodiment 3 of the present invention. see Figure 4 As shown, the device includes: an acquisition module 410, a similarity calculation module 420, a historical preference determination module 430, a generation module 440 and a recommendation module 450;

[0068] Wherein, the obtaining module 410 is used to obtain the target user at the current moment when the live room needs to be recommended for the current user;

[0069] A similarity calculation module 420, configured to calculate the similarity between the target user and the current user based on the current characteristics of the target user;

[0070] A historical preference determination module 430, configured to determine the historical preference of the target user for the live broadcast rooms he has watched based on the historical viewing behavior of the target user;

[0071] A generating module 440...

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Abstract

Embodiments of the invention disclose a method, an apparatus, a device and a medium for recommending a direct broadcasting room. The method comprises the following steps of: obtaining a target user atcurrent time when the direct broadcasting room needs to be recommended for a current user; calculating a similarity between the target user and the current user based on a current feature of the target user; determining a historical preference of the target user for the direct broadcasting room viewed by the target user according to a historical viewing behavior of the target user; generating a recommendation set of the direct broadcasting room that matches the current user, according to the similarity and the historical preference; and recommending the direct broadcasting room in the recommendation set of the direct broadcasting room that matches the current user to the current user. According to the above technical scheme, personalized recommendation of the direct broadcasting room forthe user can be realized.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of Internet live broadcasting, and in particular to a method, device, equipment and medium for recommending a live broadcasting room. Background technique [0002] In the application field of big data, an important direction is to make personalized recommendations to users based on massive data. [0003] In the live broadcast platform, the common recommendation strategy is to recommend rooms similar to the rooms the user has watched, so it is necessary to measure the similarity between the rooms in the live broadcast room. In addition, in some user-based collaborative filtering recommendation algorithms, it is also necessary to calculate the similarity between two users, so as to recommend a room that one user likes to watch to a user with a higher similarity with the user. [0004] The commonly used algorithm for calculating the similarity between two users is the Jaccard coeffici...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N21/25H04N21/258H04N21/45
CPCH04N21/251H04N21/252H04N21/25891H04N21/4532
Inventor 王璐
Owner WUHAN DOUYU NETWORK TECH CO LTD
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