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Mobile application program searching method and device

A mobile application and search method technology, applied in the field of application search, can solve problems such as inability to meet user needs, application search and recommendation rely on keyword matching, etc., and achieve the effect of reducing computing difficulty and computing time.

Pending Publication Date: 2020-01-14
WUHAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the above-mentioned technical deficiencies, provide a mobile application search method and device, and solve the technical problem in the prior art that the search and recommendation of application programs rely solely on keyword matching and cannot meet user needs

Method used

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  • Mobile application program searching method and device
  • Mobile application program searching method and device
  • Mobile application program searching method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0015] like figure 1 As shown, Embodiment 1 of the present invention provides a mobile application search method, including the following steps:

[0016] S1. Obtain an application subset of the source application market;

[0017] S2. Select a plurality of attributes as evaluation criteria, and score each application program in the application subset;

[0018] S3. Using the attribute values ​​of the application program as input and the scoring value of the application program as output, train the deep neural network to obtain a scoring model;

[0019] S4. Migrate the scoring model to the target application market, and realize the search ranking of the application programs in the target application market.

[0020] The embodiment of the present invention utilizes the principle of transfer learning, first obtains a small part of the application subset of data, scores the application subset, uses the application subset as the training set to train the scoring model, and other ta...

Embodiment 2

[0054] Embodiment 2 of the present invention provides a mobile application search device, including a processor and a memory, and a computer program is stored in the memory, and when the computer program is executed by the processor, the mobile application provided by the above embodiment is realized Search method.

[0055] The mobile application search method specifically includes the following steps:

[0056] Obtain the application subset of the source application market;

[0057] Selecting a plurality of attributes as the judging criteria, respectively scoring each application program in the application subset;

[0058] Using the attribute values ​​of the application as input and the scoring value of the application as output, train the deep neural network to obtain the scoring model;

[0059] The scoring model is migrated to the target application market, so as to realize the search ranking of the application programs in the target application market.

[0060] The mobil...

Embodiment 3

[0062] Embodiment 3 of the present invention provides a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, the mobile application search method provided in the above embodiment is realized.

[0063] The mobile application search method specifically includes the following steps:

[0064] Obtain the application subset of the source application market;

[0065] Selecting a plurality of attributes as the judging criteria, respectively scoring each application program in the application subset;

[0066] Using the attribute values ​​of the application as input and the scoring value of the application as output, train the deep neural network to obtain the scoring model;

[0067] The scoring model is migrated to the target application market, so as to realize the search ranking of the application programs in the target application market.

[0068] The computer storage medium provided by the embodiment of the present ...

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Abstract

The invention relates to the technical field of application program search, and discloses a mobile application program search method, which comprises the following steps of: obtaining an application subset of a source application market; selecting a plurality of attributes as evaluation criteria, and respectively scoring each application program in the application subset; training the deep neuralnetwork by taking each attribute value of the application program as input and taking a score value of the application program as output to obtain a score model; and migrating the scoring model to a target application market to realize search sorting of the application programs in the target application market. According to the method, the application programs are recommended by scoring the functions of the application programs, and the recommendation result better meets the requirements of users.

Description

technical field [0001] The invention relates to the technical field of application program search, in particular to a mobile application program search method and device. Background technique [0002] With the massive popularity of smartphones, people are more and more interested in apps, that is, applications in the application market. However, there are some problems in the application search function of the existing application market. The realization of the search function of the current application market also depends on the basic character string matching. In many cases, the user just knows what function he wants, but does not know the specific application program, and the search in this case is particularly difficult. When people need a certain application, they can only make the query keywords close to the title of the application. Users need to know at least part of the title of the application to find satisfactory results. This is a general process for users to ...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06N3/08
CPCG06N3/08G06F16/9535
Inventor 张蕊王志强黄思源
Owner WUHAN UNIV OF TECH