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.
- Summary
 - Abstract
 - Description
 - Claims
 - Application Information
 
 AI Technical Summary 
Problems solved by technology
Method used
Image
Examples
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...
PUM
 Login to View More Abstract
Description
Claims
Application Information
 Login to View More - R&D
 - Intellectual Property
 - Life Sciences
 - Materials
 - Tech Scout
 
- Unparalleled Data Quality
 - Higher Quality Content
 - 60% Fewer Hallucinations
 
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com



