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: 2021-09-07
武汉瓯越网视有限公司
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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

[0027] 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:

[0028] Step 110: Calculate the contribution ratio of the specific interactive behavior to the user's preference for the live broadcast room according to the number of occurrences of specific interactive behaviors between the user and the live broadcast room and the total number of occurrences o...

Embodiment 2

[0047] figure 2 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 further optimizes the above-mentioned step 130 "determine the target user with the same preferences as the current user based on the user's preference for the live broadcast room". The same target users, thereby improving the accuracy of personalized recommendations for current users. For details, see figure 2 As shown, the method includes the following steps:

[0048] Step 210: Determine the user's liking for the live broadcast room according to the interaction between the user and the live broadcast room.

[0049] Step 220 , calculating the similarity of preferences between any user and the current user based on the user's preference for the live broadcast room.

[0050] Specifically, calculate the preference similarity between any user and the current user accor...

Embodiment 3

[0058] image 3 It is a schematic structural diagram of a device for recommending a live broadcast room provided in Embodiment 3 of the present invention. see image 3 As shown, the device includes: a contribution ratio calculation module 310, a favorite degree determination module 320, a target user determination module 330 and a recommendation module 340;

[0059] Among them, the contribution ratio calculation module 310 is used to calculate the contribution of the specific interactive behavior to the user to the live broadcast room according to the number of times that the specific interactive behavior between the user and the live broadcast room occurs, and the total number of times that all interactive behaviors between the user and the live broadcast room occur. The contribution ratio of liking;

[0060] A preference determination module 320, configured to determine the user's preference for the live broadcast room based on the contribution ratio and the user's intera...

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Abstract

The embodiment of the present invention discloses a live broadcast room recommendation method, device, equipment and medium. The method includes: according to the number of occurrences of specific interactive behaviors between the user and the live broadcast room, and the total number of occurrences of all interactive behaviors between the user and the live broadcast room , calculating the contribution ratio of the specific interactive behavior to the user’s preference for the live broadcast room; determining the user’s preference for the live broadcast room based on the contribution ratio and the interactive behavior of the user and the live broadcast room; based on the user’s preference for the live broadcast room The favorite degree determines the target user who has the same preferences as the current user; recommends the live broadcast room associated with the target user to the current user. By adopting the above-mentioned technical solution, it is possible to realize personalized recommendation for a user in a live broadcast room.

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 武汉瓯越网视有限公司
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