Rating method for influence of mobile new APP

A technology of influence and influence factor, applied in the field of mobile news app influence rating, which can solve the problem that users cannot choose a news app that suits them.

Inactive Publication Date: 2017-09-12
NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, there is no mature evaluation method for the influence of mobile news clients, w

Method used

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  • Rating method for influence of mobile new APP
  • Rating method for influence of mobile new APP
  • Rating method for influence of mobile new APP

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0054] 1) Use the web crawler program to crawl the data on the Sohu News APP, Tencent News APP, and Netease News APP from the Internet, and cluster the data into the database. Average visit volume (PV) and visit volume (UV), as shown in Table 2.

[0055]

[0056] Table 2

[0057] 2) Calculate news influence factor

[0058] Sohu news influence factor Ws=pv / uv=701542000 / 141440000=4.96;

[0059] Tencent news influence factor Ws=pv / uv=830630000 / 186240000=4.46;

[0060] Netease news influence factor Ws=pv / uv=19008000 / 5760000=3.3.

[0061] 3) Calculate news reprint rate

[0062] To establish an abstract model for user behavior of browsing the web, such as figure 1 As shown, the transition probability matrix: where the value of row i and column j represents the probability that the user transfers from page j to page i

[0063]

[0064] The news webpage is on webpage A, the probability of remote jump: enter any page with a probability of 1 / 4:

[0065]

[0066] V is the c...

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Abstract

The invention discloses a rating method for an influence of a mobile new APP. The method comprises: (1), data of a news APP are collected and the data are clustered and are stored into a library, wherein the data include a website, the number of times of making comments, the number of times of reprinting, a daily page view (PV) and a unique visitor (UV); (2), a news influence factor is calculated; (3), a news App reprint rate is calculated by using a PageRank algorithm; (4), a news App replying rate is obtained by inquiring a replying rate reference table; and (5), a news APP score is calculated by a calculation model and the news App is ranked based on the score. According to the invention, information is displayed for the user in a manner of scores and thus the influences of different news Apps are displayed visually. The numerical value is the evaluation score of the news App; the higher the score of the news App, the better the user's need is met. Therefore, real-time news can be provided for the public timely.

Description

technical field [0001] The invention relates to a rating method, in particular to a mobile news App influence rating method. Background technique [0002] With the rapid development of the mobile Internet and the continuous innovation of technology, people's lives are also undergoing tremendous changes. The mobile phone has become an indispensable necessity in people's life, and the news client, as the entrance of the mobile Internet, has undoubtedly become the most competitive position in the mobile Internet market. The timeliness, fragmentation, and personalized needs of news make the mobile phone that can be carried at any time the best way to read news. So far, domestic mainstream news apps include: Sohu News, Tencent News, NetEase News, Toutiao, Sina News, Phoenix News, etc. The news client reports the news by publishing, reprinting, etc. As the role of the news media in political, economic, and cultural life is increasing, it is playing an increasingly important role...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/00G06F17/30
CPCG06F16/958G06Q10/06393G06Q50/01
Inventor 刘春阳张旭赵志云李雄曹亚棚王臻
Owner NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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