CN116088835A

CN116088835A - Android application page layout method based on back propagation algorithm

Info

Publication number: CN116088835A
Application number: CN202211544546.4A
Authority: CN
Inventors: 惠磊; 肖伟明; 黄江; 钟卫为
Original assignee: Wuhan Hongfu Software Co ltd
Current assignee: Wuhan Hongfu Software Co ltd
Priority date: 2022-11-29
Filing date: 2022-11-29
Publication date: 2023-05-09

Abstract

The invention relates to the technical field of android system software, in particular to an android application page layout method based on a back propagation algorithm, which comprises the following steps: acquiring interface layout data in a target interface to be optimized, wherein the interface layout data comprises importance degree data of a plurality of functional controls and association degree data between every two functional controls; inputting the importance degree data and the association degree data into a trained back propagation algorithm neural network, and outputting an optimization result; the optimized result comprises position information after the function control is optimized; and laying out each functional control in the android application according to the optimization result. The invention realizes the automatic optimization of the interface layout based on the neural network, can optimize the interface layout with unreasonable layout design and poor user experience sense in the layout of the interface, and can adaptively adjust the interface layout according to the frequency of using the application and each functional control by the user.

Description

Android application page layout method based on back propagation algorithm

Technical Field

The invention relates to the technical field of android system software, in particular to an android application page layout method based on a back propagation algorithm.

Background

The interface of the android application is usually designed in advance and is used for users after development is completed, and is updated iteratively through design of product managers and the like according to investigation or fixed user requirements, so that the requirements of each person cannot be fully met, and functions and the accessibility of advertisement users can be influenced.

When a user uses a program product, the interface layout of the product is directly oriented to the user and is most intuitive, the rationality and the aesthetic property of the interface layout directly influence the user experience to a great extent, and therefore, the design of the interface layout is particularly critical in the whole design and development process of a product.

However, at present, when the layout of the page is performed, a manual design method is generally adopted, and a designer performs color matching and style design, so that the page obtained by design is easy to have the condition of excessively strong subjectivity. Because the manual design needs a great deal of discussion and correction, the time consumption is high, and the time and labor cost are high; moreover, the manual design mode cannot be efficiently adapted to the demands of users, and low-cost adaptive design cannot be realized for the users;

therefore, as the life is intelligent and the digitalization degree is higher, how to get the favor of users and how to continuously improve the benefits are more and more important.

Disclosure of Invention

The invention provides an android application page layout method based on a back propagation algorithm, which is used for solving the problems that in the prior art, real-time page layout adjustment cannot be carried out according to the use habit of a user, layout design is unreasonable and user experience feel is poor, and the method is beneficial to the occurrence time, duration and frequency of each function used by the user, and then the positions of APP function icons and advertisements are calculated and arranged to be more handy through the back propagation algorithm, so that the use efficiency of the user is improved, and the advertisement touch rate is also increased.

The invention provides an android application page layout method based on a back propagation algorithm, which comprises the following steps:

acquiring interface layout data in a target interface to be optimized, wherein the interface layout data comprises importance degree data of a plurality of functional controls and association degree data between every two functional controls;

inputting the importance degree data and the association degree data into a trained back propagation algorithm neural network, and outputting an optimization result;

the optimized result comprises the optimized position information of the functional control;

and according to the optimization result, laying out all the functional controls in the android application.

According to the android application page layout method based on the back propagation algorithm provided by the invention, the interface layout data in the target interface to be optimized is obtained, and the method comprises the following steps:

recording historical use conditions of a user using mobile terminal equipment, and generating a set of user use records; the set comprises application names used by users, application use frequency, application use duration, triggering frequency of function keys of the applications and use duration of functions corresponding to the function keys;

and acquiring importance degree data of a plurality of applications and importance degree data of a function control corresponding to each function key of each application.

acquiring a click event set of a mobile terminal device used by a user, and performing block processing on a screen of the mobile terminal device according to the frequency of the click event of the user;

and acquiring association degree data of each application, each functional control and each screen block.

According to the android application page layout method based on the back propagation algorithm, provided by the invention, a plurality of applications are ordered according to the use duration of the applications, and a plurality of corresponding function keys are ordered according to the use duration of the functions;

and sequentially laying out the applications and the corresponding function keys according to the sequence from high to low of the duration of use, and arranging the applications and the corresponding function keys with high duration of use to the screen blocks with high clicking frequency to generate a target optimization interface.

According to the android application page layout method based on the back propagation algorithm provided by the invention, the historical use condition of the user using the mobile terminal equipment is recorded, and a set of user use records is generated, and the method comprises the following steps:

acquiring the time and place of using the mobile terminal equipment by a user, judging the current use scene according to the use time and the use place, and generating a scene identifier;

and recording an optimized interface corresponding to each scene identifier.

According to the android application page layout method based on the back propagation algorithm provided by the invention, the neural network of the back propagation algorithm is retrained based on each scene identifier and the corresponding optimization interface, and the method comprises the following steps:

adjusting model parameters of the back propagation algorithm neural network includes: inputting the training optimization result and the position information labels of the functional controls into a loss function, and outputting a loss result;

adjusting model parameters of the back propagation algorithm neural network according to the loss result until the loss result or iteration number of the loss function meets a preset condition;

and taking a model obtained when the loss result or the iteration number of the loss function meets a preset condition as the trained back propagation algorithm neural network.

The invention further provides an android application page layout system based on a back propagation algorithm, which comprises a data acquisition module, a neural network module and a layout module;

the data acquisition module is used for acquiring interface layout data in a target interface to be optimized, wherein the interface layout data comprises importance degree data of a plurality of functional controls and association degree data between every two functional controls;

the neural network module is used for inputting the importance degree data and the association degree data into a trained back propagation algorithm neural network and outputting an optimization result;

and the layout module lays out the layout of the android application and each functional control in the application according to the optimization result.

The invention also provides electronic equipment, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor realizes the steps of the android application page layout method based on the back propagation algorithm when executing the program.

The invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the back propagation algorithm based android application page layout method as described in any of the above.

According to the android application page layout method based on the back propagation algorithm, importance degree data of target controls in an interface to be optimized and association degree data between each target control are obtained to serve as input of a neural network model; then, distributing the target controls of the page according to the output position information of the target controls;

the method and the device realize automatic optimization of the interface layout based on the neural network, can optimize the interface layout with unreasonable layout design and poor user experience in the layout of the interface, improve the efficiency of optimizing the interface layout, reduce the workload of interface designers, and also can adaptively adjust the interface layout according to the use application of the user and the frequency of using each functional control.

Drawings

In order to more clearly illustrate the invention or the technical solutions of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic flow chart of a method for layout of android application pages based on a back propagation algorithm;

fig. 2 is a schematic structural diagram of the android application page layout system based on the back propagation algorithm.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The terms "comprising" and "having" and any variations thereof in the description and claims of the present application and in the foregoing drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or modules is not limited to only those steps or modules but may include other steps or modules not expressly listed or inherent to such process, method, article, or apparatus.

It should be noted that the term "first/second" related to the present invention is merely to distinguish similar objects, and does not represent a specific order for the objects, and it should be understood that "first/second" may interchange a specific order or precedence where allowed. It is to be understood that the "first\second" distinguishing aspects may be interchanged where appropriate to enable embodiments of the invention described herein to be implemented in sequences other than those described or illustrated herein.

It should be noted that the BP algorithm (i.e., the back propagation algorithm) is suitable for a learning algorithm of the multi-layer neuronal network, which is based on the gradient descent method. The input-output relationship of the BP network is essentially a mapping relationship: an n-input m-output BP neural network performs the function of a continuous mapping from n-dimensional Euclidean space to a finite field in m-dimensional Euclidean space, which mapping is highly nonlinear. Its information processing capability is derived from multiple complexes of simple nonlinear functions, and therefore has a strong function reproduction capability, which is the basis for the BP algorithm to be applied.

In one embodiment, as shown in fig. 1, the present invention provides a method for layout of android application pages based on a back propagation algorithm, including:

As an example

recording an optimized interface corresponding to each scene identifier;

as an example, when a user clicks any function of software, records the function type, records the time value of occurrence, records the use time period, desensitizes and reports the content, takes the information as a necessary value, utilizes anthropomorphic logic, uses a back propagation algorithm to learn and judge whether the time of software function activation accords with the mark type, takes the white collar of nine-night five as an example, and the time range information is in the range of nine-night five, the time point is before the user takes a meal for sleeping in the commute in the morning, in the evening, lasts for more than one week, and combines the used functions, then is regarded as a class A situation, and is analogized in sequence, has a three-shift type and the like, so that the layout of APP and advertisement is automatically set according to the mark, and a set of self-learning self-adaption layout capable of following the current human logic habit cognition is formed;

it should be noted that the scene type identifier is designed according to the actual software type and requirement, and may vary according to the situation, which is not limited by the present invention, and includes, by way of example and not limited to, the following three types:

d0 (towards a nine-night five-type scenario, for example, the passage time range may be located as weekdays 8:00-9:00 & 12:00-13:00 & 18:00-19:00, often using class A functionality); d1 (a three-shift scene, setting a time range according to the time of three-shift up and down, and often using a B-class function); d2 (other time scenarios, the scene tag value may be designed according to the time dispersion range based on the data collected after the device is not on screen for a certain period of time).

d0: towards a nine-night five type scenario, for example, the traffic time range may be located as weekdays 8:00-9:00 & 12:00-13:00 & 18:00-19:00.

d1: and setting a time range according to the time of three-shift to-shift and from-shift in the three-shift scene.

d2: other time scenarios, the scenario tag values may be designed according to the time scatter range, based on the data 5 collected by the software function after a certain time, such as a time range slightly more than d0,

may be defined as d0n, etc.

All user default scene identifications are d0 initially, when the traffic condition meets other scene conditions, the scene identifications are updated,

as an example, when the present invention pre-trains a neural network, first it is necessary to record data generated by user usage within a certain time range of 0, including the fact that the user uses software functions

The inter-time point and the function type are further set according to the habit of the user, and the scene type is set according to the habit of the user, wherein 100% of the time points of' e.g. user passing are all within the design range of d0 (8:00-9:00)

12:00-13:00 & 18:00-19:00) and use the A function, and simultaneously record and save the use work thereof

Can be turned on, duration, software information (user id, etc.), and set the user to mark d0 for a period of 30 minutes before and after the 5 demand time point, except for being very used

And in the state, the scene mark is s0, the scene mark is s2 in the d1 range, the scene mark is s2 in the d2 range, and the scene mark is Sn scene mark, namely the expected output value.

According to the method for arranging the android application page 0 based on the back propagation algorithm, which is provided by the invention, the back propagation algorithm spirit is generated based on each scene identifier and the corresponding optimization interface

Retraining via a network, comprising:

adjusting model parameters of the back propagation algorithm neural network according to the loss result, and 5, until the loss result or iteration number of the loss function meets a preset condition;

Retraining the neural network, namely recording the using function, starting time, duration time set, software information (user id and the like) and the difference set between the scene mark and the expected value obtained by calculating the position information through a data model of the user after logging in successfully every time as an error library, further comparing the error library with all the determined scene marks, and establishing a new scene mark S for the user when the errors of the user for three times are the same _n If the single error does not belong to any determined scene mark, the activation time mark of the corresponding newly added time point is added.

Further, as shown in fig. 2, the invention also provides an android application page layout system based on a back propagation algorithm, which comprises a data acquisition module, a neural network module and a layout module, wherein the page layout system and the page layout method described above can be correspondingly referred to each other;

The present invention also provides an electronic device, which may include: a processor (processor), a communication interface (Communications Interface), a memory (memory) and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus. The processor may call logic instructions in memory to perform the steps of the above-described back propagation algorithm based android application page layout method.

Further, the logic instructions in the memory described above may be implemented in the form of software functional units and stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, are capable of performing the steps of the above-described back propagation algorithm based android application page layout method.

In yet another aspect, the present invention also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the steps of the above-described back propagation algorithm based android application page layout method.

The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.

From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.

Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. The android application page layout method based on the back propagation algorithm is characterized by comprising the following steps of:

2. The method for laying out an android application page based on a back propagation algorithm according to claim 1, wherein obtaining interface layout data in a target interface to be optimized comprises:

3. The method for laying out an android application page based on a back propagation algorithm according to claim 2, wherein obtaining interface layout data in a target interface to be optimized comprises:

4. A method of page layout of an android application based on a back propagation algorithm as claimed in claim 3, wherein the plurality of applications are ordered according to the duration of use of the applications, and the plurality of corresponding function keys are ordered according to the duration of use of the functions;

5. The method for distributing android application pages based on back propagation algorithm according to any one of claims 1 to 4, wherein recording historical usage of a mobile terminal device by a user, generating a set of user usage records, comprises:

and recording an optimized interface corresponding to each scene identifier.

6. The method of claim 5, wherein retraining the back propagation algorithm neural network based on each scene identification and corresponding optimization interface comprises:

7. The android application page layout system based on the back propagation algorithm is characterized by comprising a data acquisition module, a neural network module and a layout module;

8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the back propagation algorithm based android application page layout method according to any one of claims 1 to 6 when the program is executed.

9. A non-transitory computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the steps of the back propagation algorithm based android application page layout method according to any of claims 1 to 6.