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# A Smart Method to Estimatethe Applying Efficiency of the Mobile Applications

IP.com Disclosure Number: IPCOM000234135D
Publication Date: 2014-Jan-14
Document File: 4 page(s) / 49K

## Publishing Venue

The IP.com Prior Art Database

## Abstract

Nowadays, mobile users tend to install more and more powerful applications in their mobile phone since the new powerful mobile applications are quickly implemented and released. Since the functions provided in different applications maybe overlap, users need to find out the best application for specific functions. This invention provides a method to help user find out the best application for each specific function.

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A Smart Method to Estimatethe Applying Efficiency of the Mobile Applications

Nowadays, mobile users tend to install more and more powerful applications in their mobile phone since the new powerful mobile applications are quickly implemented and released.

Since the functions provided in different applications maybe overlap, users need to find out the best application for specific functions. For example, user may install several applications which can open a picture. It is very useful to find out which application is best to open a picture.

Best is compared by some measurements, like open time, battery usage during open, memory usage for opening, etc.

This invention provides a method to help user find out the best application for each specific function.

This invention recommends the applications in the order of the measurement score which is calculated by the recorded measurement data , put the application with the highest score on the top.

These data are recorded each time when user selects the application to accomplish each function and the scores are calculated according to these measurement data.

The measurement data can be customized and the weight for each kind of data can be also customized.

And the calculation method would be :

Score = Average of score calculated, each time user selects the application and after using it, we will calculate a score according to the collected data.

Score calculated = (measurement Data 1 * Weight 1 + measurement Data 2 * Weight 2) / 100,
measurement data includes execution time, memory usage, battery usage, user click time, user waiting time .etc.
measurement Data is a number between 0 -100. for all the data for all applications, the best data would be 100 points and other

data is calculated as: your data/best data * 100. weight is a number between 0 - 1.

1. This invention automatically records measurement data of each application for specific function.

2. This invention automatically recommends the best application to user foe specific function.

Here are the major steps of our method:

1. group application according to functionality.

This method groups the applications by contents consumed by the applications. for example, we will put all applications into the

same group if they all can open a picture, and put applications into another group if they all can play a mp3 file.

2. application recommendation and data gathering.

We will have two stages for collecting the m...