Popular content pool maintenance method and apparatus

A content and popular technology, applied in the Internet field, can solve problems such as deviation of popular content, curing, etc., to achieve the effect of accurate publishing, accurate popular content, and improving update efficiency

Active Publication Date: 2018-02-09
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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  • Popular content pool maintenance method and apparatus
  • Popular content pool maintenance method and apparatus
  • Popular content pool maintenance method and apparatus

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] figure 1 For a schematic flowchart of a popular content pool maintenance method provided in Embodiment 1 of the present application, see figure 1 , the method may specifically include the following steps:

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

[0068] Wherein, 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. Obtain the release time corresponding to the popular content and the feedback information for the popular content respectively, the feedback information is used to indicate the user behavior performed by the user on the popular content;

[0070] It should be noted that after displaying various popular content on a certain website, when users visit the website, they can choose behaviors such as clicking or not click...

Embodiment 2

[0091] image 3 For a schematic flowchart of a popular content pool maintenance method 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, the feedback information is used to indicate 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 popular content whose scores do not meet the predetermined criteria from the popular content pool, and supplement candidate content to obtain an updated (maintained) popular content pool.

[0095] Step 38, sort the popular content in the updated popular content pool, and publish the popular content in the up...

Embodiment 3

[0103] Figure 4 It is a schematic flowchart of a popular content pool maintenance method provided in Embodiment 3 of the present application, refer to Figure 4 , this embodiment specifies the prior probability as click-through rate on the basis of Embodiment 1 and Embodiment 2, and describes this application in detail by way of specific examples:

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

[0105] It should be noted that the hot content pool is initially empty, and the upper limit of the size is N, where N is 5000 for example. When the content pool has not reached the upper limit, new content can be directly added to the content pool, or 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 the content obtained directly from the data source and not published.

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

[0107] It should be no...

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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 technical field of the Internet, and in particular to a method and device for maintaining a popular content pool. Background technique [0002] Information content services include all information content delivered in various ways, such as: programs transmitted through TV stations, economic, entertainment, technological, cultural and other content transmitted through the Internet, various information transmitted through wireless mobile phones, and the emerging Distance education, online shopping, etc. In Internet information content services, it is often necessary to select a certain amount of content as popular content to be preferentially displayed to users according to specific indicators (eg, click-through rate). [0003] Existing schemes for determining popular content can be divided into two categories: manual selection and automatic aggregation. Since the artificially selected scheme depends on the subjec...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/3346G06F16/9535
Inventor 王喆李涛
Owner QILIN HESHENG NETWORK TECH INC
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