Method for calculating similarity of mobile applications based on content

A mobile application and similarity technology, applied in computing, special data processing applications, database design/maintenance, etc., can solve problems such as inability to reflect the real content of the app, poor quality of comment information, etc., achieve accurate and comprehensive calculation results, and improve accuracy The effect of high efficiency and fast processing

Active Publication Date: 2016-06-15
HANGZHOU YUANCHENG TECH CO LTD
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  • Abstract
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Problems solved by technology

According to our observations, the quality of app review information

Method used

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  • Method for calculating similarity of mobile applications based on content
  • Method for calculating similarity of mobile applications based on content

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Embodiment Construction

[0032] In order to further understand the present invention, the preferred embodiments of the present invention will be described below in conjunction with examples, but it should be understood that these descriptions are only for further illustrating the features and advantages of the present invention, rather than limiting the claims of the present invention.

[0033] The present invention provides a content-based method for calculating the similarity of mobile applications, which relies on the app’s name, description information, type and size and other characteristics to find the most similar app to this app, which specifically includes the following steps:

[0034] S1. Crawling a large amount of app data and sorting out the characteristics of the data, saving the sorted characteristics into the database, and establishing a characteristic database for query;

[0035] S2. According to the feature information of the app to be queried, query and calculate in the feature database to f...

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Abstract

The invention relates to a method for calculating similarity of mobile applications based on content.The method comprises following steps: extracting information of mobile applications after acquiring a large amount of information of mobile applications including application names, application types, application descriptions and application sizes; carrying out word segmentation on application description information; dividing content into two parts after word segmentation is finished with one part as a training corpus for a word 2vec model and the other part being stored in the form of file sets and subjected to TF-IDF calculations and then stored into an HBase data warehouse; and inquiring similarity of applications and calculating. The method for calculating similarity of mobile applications based on content has following beneficial effects: the method is capable of rapidly responding to similarity query of apps; by app features based on content and description information, apps can be well referred; high accuracy is obtained; and accuracy of app query and recommendation can be increased.

Description

Technical field [0001] The invention relates to the field of data information retrieval and recommendation systems, in particular to a method for calculating the similarity of mobile applications based on characteristic content through information retrieval. Background technique [0002] With the increasing prosperity of the mobile Internet and the introduction of "Internet +", the convenience and efficiency of the mobile Internet have become more and more familiar to people. The concept of O2O (OnlineToOffline, online to offline) and various online and offline applications have not only quickly promoted the sale of goods, but also greatly enriched people's lives. [0003] In the "Internet+" life of the masses, a large number of mobile applications (MobileApplications, app for short) occupy an important position. The major domestic mobile application markets provide strong support for the public's app demand. In the mobile application market, users often search for the apps they ...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/21G06F16/243
Inventor 吴明晖刘泽民金苍宏应晶
Owner HANGZHOU YUANCHENG TECH CO LTD
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