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A personalized recommendation method for location-sensitive apps

A technology of geographical location and recommendation method, which is applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as software annihilation, and achieve accurate prediction results

Active Publication Date: 2020-10-30
SUN YAT SEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Especially, when an app has obvious locality (that is, when the app is specially developed for a certain place), these traditional corresponding algorithms will often obliterate these software, but in fact these For the local people, the app may be the most suitable app for them

Method used

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  • A personalized recommendation method for location-sensitive apps
  • A personalized recommendation method for location-sensitive apps
  • A personalized recommendation method for location-sensitive apps

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Embodiment Construction

[0036] Below in conjunction with accompanying drawing, technical scheme of the present invention is further described:

[0037] A personalized recommendation method for geographically sensitive apps, the flow chart is as follows figure 2 As shown, the specific implementation mainly includes the following steps:

[0038] Step 1. Acquisition and processing of raw data;

[0039] Step 2, city-corresponding app sensitivity calculation;

[0040] Step 3. Score matrix prediction and app recommendation.

[0041] Among them, step 1, acquisition and processing of raw data:

[0042] The built-in mobile phone software collects mobile phone users' app traffic data. The collected target data mainly includes: users, users' geographical location, users' uninstalled software, users' daily use of mobile apps (used traffic, time, times, etc.) and When a user downloads a software update. Based on the data collected by our built-in software, the user-app scoring table is constructed, as shown...

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Abstract

The invention relates to an individuation recommending method for a geographically sensitive app. The method mainly comprises the following steps of 1 obtaining and processing original data, 2 calculating the urban corresponding app sensitivity, 3 performing scoring matrix prediction and giving app recommendation. By calculating the sensitivity of the geographically sensitive app, the matrix decomposition method with the geographic position weight is implemented, and the recommendation score prediction is more accurate through the two aspects of the technological improvement.

Description

technical field [0001] The invention relates to a personalized recommendation method for geographical location-sensitive apps. Background technique [0002] With the popularization of smart phones, the number of mobile phone applications is also increasing, and the types are becoming more and more complicated. In order to better understand the current development status of mobile app applications, study the current three mainstream mobile app online store googleplay, iOS app store and Amazon app store. These app online supply stores are the largest supply stores for mobile apps. As far as their advantages and disadvantages are concerned, it can only be said that each has its own advantages and disadvantages. However, they all have one feature in common, that is, they provide a huge number of mobile apps and a huge number of users, covering all parts of the world, including all walks of life. Moreover, the number of their mobile apps is still on the rise (such as figure 1 ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9537
CPCG06F16/9537
Inventor 郑子彬伍鹏飞周育人刘树郁
Owner SUN YAT SEN UNIV