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A method and device for maintaining popular content pools

A content and popular technology, applied in the Internet field, can solve the problems of biased popular content, solidification, etc., and achieve the effect of accurate release, accurate popular content, and avoiding selection bias

Active Publication Date: 2020-12-29
QILIN HESHENG NETWORK TECH INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present application provides a method and device for maintaining a hot content pool to solve the problem that the hot content determined by the prior art deviates from the content that users are actually interested in and the hot content tends to be cured

Method used

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  • A method and device for maintaining popular content pools
  • A method and device for maintaining popular content pools
  • A method and device for maintaining popular content pools

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] figure 1 A schematic flowchart of a method for maintaining a hot content pool provided in Embodiment 1 of the present application, see figure 1 , the method may specifically include the following steps:

[0067] Step 12, extract corresponding hot content from the predetermined news source respectively to the hot content pool; the hot content pool is used to record the hot content;

[0068] Among them, the predetermined news source may be Baidu news source, Google news source, Soso news source, Sogou news source, 360 news source, etc.

[0069] Step 14, respectively obtaining the respective release times of the popular content and feedback information for the popular content, where the feedback information is used to represent the user behavior of the user on the popular content;

[0070] It should be noted that after displaying each popular content on a website, users can choose behaviors such as click / no-click according to their own needs when visiting the website, an...

Embodiment 2

[0091] image 3 A schematic flowchart of a method for maintaining a hot content pool provided in Embodiment 2 of the present application, see image 3 , the method may specifically include the following steps:

[0092] Step 32: Obtain the release time of the popular content and the feedback information for the popular content, respectively, where the feedback information is used to represent the user behavior of the user feedback on the popular content;

[0093] Step 34: Determine the score of the popular content according to the feedback information and the release time, and the score is used to evaluate the degree of attention to the popular content;

[0094] Step 36: Delete the popular content whose score does not meet the predetermined standard from the popular content pool, and supplement the candidate content to obtain the updated (maintained) popular content pool.

[0095] Step 38: Sort the popular content in the updated popular content pool, and publish the popular c...

Embodiment 3

[0103] Figure 4 A schematic flowchart of a method for maintaining a hot content pool provided in Embodiment 3 of the present application, refer to Figure 4 , in this embodiment, on the basis of Embodiment 1 and Embodiment 2, the prior probability is specifically the click-through rate, and the application is described in detail by way of specific examples:

[0104] Step 42: Establish a hot content pool;

[0105] It should be noted that the popular content pool is initially empty, and the upper limit of the size is N. Here, N is 5000 for example. When the content pool does not reach the upper limit, new content can be added directly to the content pool, or it can be added to the content pool after the number of clicks or click rate reaches a certain condition. Among them, the new content is directly obtained from the data source and has not been published.

[0106] Step 44: Initialize the click-through rate model and freshness model of the new content;

[0107] It should ...

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Abstract

The invention discloses a popular content pool maintenance method and apparatus. The method comprises the steps of extracting popular contents to a popular content pool from predetermined news sources; obtaining release time corresponding to the popular contents and feedback information for the popular contents, wherein the feedback information is used for representing a user behavior of feeding back the popular contents by a user; according to the feedback information and the release time, determining scores corresponding to the popular contents respectively, wherein the scores are used for assessing attention to the popular contents; and deleting the popular contents with the scores not meeting predetermined standards from the popular content pool. By collecting the feedback informationof the user to the released popular contents and the freshness of the popular contents, current feedback information and future possibility are balanced, and the defect of selection bias in a manual selection and automatic aggregation scheme adopted in the prior art is overcome, so that the effect of effectively fusing high feedback rate and content freshness is achieved; and the method and the apparatus have the advantages of accurately releasing the popular contents and improving the user experience.

Description

technical field [0001] The present application relates to the field of Internet technologies, and in particular, to a method and apparatus for maintaining a hot content pool. Background technique [0002] Information content services include all information content delivered by various means, such as: programs delivered by TV stations, economic, entertainment, technological, cultural and other content delivered through the Internet, various information delivered by wireless mobile phones, and emerging Distance education, online shopping, and more. In the Internet information content service, it is often necessary to select a certain amount of content according to a specific indicator (eg, click-through rate) as popular content to be displayed to users first. [0003] Existing schemes for determining popular content can be divided into two categories: manual selection and automatic aggregation. Since the manually selected scheme relies on the subjective experience and judgm...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/33
CPCG06F16/3346G06F16/9535
Inventor 王喆李涛
Owner QILIN HESHENG NETWORK TECH INC
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