CN118092743A

CN118092743A - Method, device and equipment for updating and publishing point position of interface operation function

Info

Publication number: CN118092743A
Application number: CN202410231480.6A
Authority: CN
Inventors: 高兰天; 姜妙怡; 左晓琳
Original assignee: Industrial and Commercial Bank of China Ltd ICBC
Current assignee: Industrial and Commercial Bank of China Ltd ICBC
Priority date: 2024-02-29
Filing date: 2024-02-29
Publication date: 2024-05-28

Abstract

The embodiment of the disclosure provides an interface operation function point position update release method which can be applied to the technical field of computers and the technical field of big data. The method comprises the following steps: and generating an operation distance of the target function group based on the user behavior log data, and generating a first operation distance. And carrying out preset position updating on a plurality of first operation function points of the target function group, generating a plurality of second operation function points, and calculating a second operation distance of the target function group. A difference between the first operating distance of the target function group and the second operating distance of the target function group is calculated. And judging whether to update and issue a plurality of second operation function points of the target function group based on the difference value. The disclosure also provides an interface operation function point position update issuing device, a computing device, a medium and a program product.

Description

Method, device and equipment for updating and publishing point position of interface operation function

Technical Field

The disclosure relates to the technical field of computers, in particular to the technical field of big data, and particularly relates to a method, a device, equipment, a medium and a program product for updating and publishing point positions of an interface operation function.

Background

With the rapid development of internet technology, various internet application products are endless, and various application programs suitable for enterprises including banks are generated. The complex labels and the numerous functions in the application program cause confusion when the user uses the software. Meanwhile, the design of page function layout, hierarchy jump and flow links lacks a reasonable and effective screening means.

The common screening means mainly rely on log records to extract flow information from user behavior logs and discover, monitor and improve flows according to experience. The screening method only focuses on the node event flow recorded in the log data, does not consider the characteristics of the functional layout, interaction mode and the like of the mobile terminal product, can not fully reflect the interaction cost during the operation of a user, is not fine enough to process, and is easy to cause inconvenience to the use of the user according to the position of the updated operation functional point selected by the method, thereby causing the user to feel objectionable.

Disclosure of Invention

In view of the above, the present disclosure provides an interface operation function point location update issue method, apparatus, device, medium, and program product.

According to a first aspect of the present disclosure, there is provided a method for issuing an update of a point location of an interface operation function, which is characterized in that the method includes:

acquiring user behavior log data;

Grouping the user behavior log data to generate behavior data of each user single-login single function group, wherein the behavior data of each user single-login single function group comprises: each user logs in a plurality of first operation function points of a single function group and a plurality of operation behavior time stamps corresponding to the plurality of first operation function points at a single time;

generating an operation path of each user single-login single function group based on a plurality of first operation function points of each user single-login single function group and the operation action time stamps;

Generating operation distances of a plurality of function groups based on the operation paths of each user logging in a single function group at a time;

Acquiring the operation distance of the target function group from the operation distances of the plurality of function groups, and generating a first operation distance;

carrying out preset position updating on a plurality of first operation function points of the target function group to generate a plurality of second operation function points;

Calculating a second operation distance of the target function group based on the plurality of second operation function points;

Calculating a difference value between the first operation distance of the target function group and the second operation distance of the target function group to obtain an reachable distance; and

And if the reachable distance is smaller than or equal to a preset reachable distance threshold, updating and releasing a plurality of second operation function points of the target function group.

According to an embodiment of the present disclosure, the grouping the user behavior log data to generate behavior data of each user single-login single function group includes:

Analyzing the user behavior data to generate user behavior data characteristics;

Grouping the user behavior data based on the user behavior data characteristics to generate a plurality of functional group behavior data of a plurality of users logged in for a plurality of times;

Performing noise reduction processing on the behavior data of the multiple functional groups of multiple logins of the multiple users, and generating behavior data of the multiple functional groups of multiple logins of the multiple users after noise reduction; and

Splitting behavior data of the multiple functional groups of the multiple users after noise reduction, and generating behavior data of the single functional group of each user.

An embodiment of the present disclosure is characterized in that generating operation distances of a plurality of function groups based on the first operation path, including:

And inputting a pre-trained neural network model based on the first operation path, and outputting operation distances of a plurality of functional groups.

An embodiment of the present disclosure is characterized in that acquiring an operation distance of a target function group from operation distances of the plurality of function groups, generating a first operation distance, includes:

performing preference sequencing on the plurality of functional groups to generate sequencing serial numbers of the plurality of functional groups;

A sequencing sequence number threshold is preset, and if the sequencing sequence number of the plurality of functional groups is larger than the preset sequencing sequence number threshold, the plurality of functional groups larger than the preset sequencing sequence number threshold are used as target functional groups; and

And acquiring the operation distance of the target function group, and generating a first operation distance.

According to an embodiment of the present disclosure, the method includes performing preference ranking on the plurality of function groups to generate ranking numbers of the plurality of function groups, including:

acquiring browsing amounts of the plurality of functional groups and transaction amounts of the plurality of functional groups;

Presetting weights of browsing amounts of the plurality of functional groups and weights of transaction amounts of the plurality of functional groups;

Calculating preference metrics of the plurality of functional groups based on the browsing amounts of the plurality of functional groups, the transaction amounts of the plurality of functional groups, weights of the browsing amounts of the plurality of functional groups, and weights of the transaction amounts of the plurality of functional groups; and

And based on the preference measurement of the plurality of functional groups, carrying out preference sequencing on the plurality of functional groups, and generating sequencing numbers of the plurality of functional groups.

An embodiment of the present disclosure is characterized in that calculating a preference metric for a plurality of functional groups based on browsing amounts of the plurality of functional groups, transaction amounts of the plurality of functional groups, weights for browsing amounts of the plurality of functional groups, and weights for transaction amounts of the plurality of functional groups, includes:

calculating the product of the browsing amount of the plurality of functional groups and the weight of the browsing amount of the corresponding plurality of functional groups to generate a first association value of the plurality of functional groups;

Calculating the product of the transaction amounts of the plurality of functional groups and the corresponding weight of the transaction amounts of the plurality of functional groups to generate a second association value of the plurality of functional groups; and

And calculating the sum of the first association values of the plurality of functional groups and the second association values of the plurality of functional groups to generate preference metrics of the plurality of functional groups.

An embodiment of the present disclosure is characterized in that calculating, based on the plurality of second operation function points, a second operation distance of the target function group includes:

obtaining client display data, wherein the client display data comprises: a human-computer interaction interface;

Carrying out coordinated processing on the man-machine interaction interface to generate a standardized coordinate map of the man-machine interaction interface;

calibrating the standardized coordinate map of the man-machine interaction interface of the plurality of second operation function points to generate a plurality of second operation function point coordinates;

Correcting the plurality of second operation function point position coordinates to generate a plurality of corrected second operation function point position coordinates; and

And calculating a second operation distance of the target function group based on the plurality of corrected second operation function point position coordinates and the operation paths of the target function group.

The embodiment of the disclosure is characterized in that the method for generating the standardized coordinate map of the man-machine interaction interface comprises the following steps:

And generating a standardized coordinate map of the human-computer interaction interface by taking the upper left corner of the human-computer interaction interface as an original point, taking the horizontal axis of the original point as an x axis and taking the vertical axis of the original point as a y axis, wherein the x axis is gradually increased from left to right by taking the original point as a starting position, and the x axis is gradually increased from top to bottom by taking the original point as the starting position, so as to generate the standardized coordinate map of the human-computer interaction interface.

An embodiment of the present disclosure is characterized in that the client display data further includes: the page resolution of the client and the pixel density of the client display calibrate the standardized coordinate map of the man-machine interaction interface to generate a plurality of second operation function point coordinates, including:

acquiring the pixel number occupied by the plurality of second operation function point positions;

Calculating the quotient of the number of pixels occupied by the plurality of second operation function point positions divided by the page resolution of the client side to generate a plurality of third association values; and

And calculating the product of the third association values and the pixel density of the client display to generate the second operation function point position coordinates.

According to an embodiment of the present disclosure, the correcting the plurality of second operation function point location coordinates to generate a plurality of corrected second operation function point location coordinates includes:

Acquiring user interaction behaviors;

Determining user interaction time cost according to the user interaction behavior;

calculating a spatial correction coefficient based on the user interaction time cost; and

And correcting the plurality of second operation function point position coordinates based on the space correction coefficient, and generating a plurality of corrected second operation function point position coordinates.

An embodiment of the present disclosure is characterized in that calculating the second operation distance of the target function group based on the plurality of corrected second operation function point location coordinates and the operation path of the target function group, includes:

acquiring the coordinates of a focusing point of the page;

Calculating Euclidean distances of adjacent second operation function point position coordinates in a plurality of operation paths in the target function group by taking the focusing point coordinates as coordinate starting points, and generating a plurality of first association distances, wherein the plurality of first association distances are in one-to-one correspondence with the adjacent second operation function point position coordinates in the plurality of operation paths in the target function group;

calculating the sum of the plurality of first association distances to generate a second association distance;

Calculating page jump distances of each pair of adjacent second operation function point position coordinates in the operation path in the target function group, and generating a plurality of third association distances;

calculating the sum of the third association distances to generate a fourth association distance;

and calculating the sum of the second association distance and the fourth association distance, and generating a second operation distance of the target function group.

An embodiment of the present disclosure is characterized in that calculating a page jump distance of each pair of adjacent second operation function point location coordinates in an operation path in the target function group, to generate a plurality of third association distances, including:

Calculating page distance coefficients of each pair of adjacent second operation function point location coordinates;

calculating the sum of a plurality of first association distances corresponding to each pair of adjacent second operation function point position coordinates to generate a plurality of fifth association distances; and

And calculating the product of the plurality of fifth association distances and the page distance coefficient of each pair of adjacent second operation function point position coordinates to generate a plurality of third association distances.

An embodiment of the present disclosure is characterized in that calculating a page distance coefficient of each pair of adjacent second operation function point location coordinates includes:

acquiring the data volume, the network loading speed and the terminal rendering speed of page loading contents of each pair of adjacent second operation function point position coordinates; and

And calculating the page distance coefficient of each pair of adjacent second operation function point position coordinates based on the data volume of the page loading content, the network loading speed and the terminal rendering speed.

According to a second aspect of the present disclosure, there is provided an interface operation function point location update issue device, which is characterized in that the device includes:

the first acquisition module is used for acquiring user behavior log data;

the first generation module is configured to group the user behavior log data, and generate behavior data of each user single-login single function group, where the behavior data of each user single-login single function group includes: each user logs in a plurality of first operation function points of a single function group and a plurality of operation behavior time stamps corresponding to the plurality of first operation function points at a single time;

the second generating module is used for generating an operation path of each user single-login single function group based on the plurality of first operation function points of each user single-login single function group and the plurality of operation behavior time stamps:

a third generating module, configured to generate operation distances of multiple function groups based on the operation path of each user logging in a single function group at a time;

a fourth generating module, configured to obtain an operation distance of a target function group from operation distances of the plurality of function groups, and generate a first operation distance;

a fifth generating module, configured to update preset positions of a plurality of first operation function points of the target function group, and generate a plurality of second operation function points;

The first calculation module is used for calculating a second operation distance of the target function group based on the plurality of second operation function points;

The second calculation module is used for calculating a difference value between the first operation distance of the target function group and the second operation distance of the target function group to obtain an reachable distance; and

And the issuing module is used for updating and issuing a plurality of second operation function points of the target function group if the reachable distance is smaller than or equal to a preset reachable distance threshold value.

According to an embodiment of the disclosure, the first generating module includes:

the sixth generation module is used for analyzing the user behavior data and generating user behavior data characteristics;

a seventh generating module, configured to group the user behavior data based on the user behavior data characteristics, and generate a plurality of functional group behavior data that a plurality of users log in for a plurality of times;

the eighth generation module is used for performing noise reduction processing on the behavior data of the multiple functional groups of multiple logins of the multiple users, and generating behavior data of the multiple functional groups of multiple logins of the multiple users after noise reduction; and

And the ninth generation module is used for splitting the behavior data of the multiple functional groups of the multiple users which are subjected to noise reduction and logging in the single functional group of each user for a plurality of times to generate behavior data of the single functional group of each user.

According to an embodiment of the disclosure, the fifth generating module includes:

a tenth generation module, configured to perform preference ranking on the plurality of function groups, and generate ranking numbers of the plurality of function groups;

The second preset module is used for presetting a sequencing sequence number threshold, and if the sequencing sequence number of the plurality of functional groups is larger than the preset sequencing sequence number threshold, the plurality of functional groups larger than the preset sequencing sequence number threshold are used as target functional groups; and

An eleventh generation module for acquiring the operation distance of the target function group and generating a first operation distance

According to an embodiment of the disclosure, the tenth generating module includes:

The second acquisition module is used for acquiring the browsing amounts of the plurality of functional groups and the transaction amounts of the plurality of functional groups;

A third preset module, configured to preset weights of browsing amounts of the multiple functional groups and weights of transaction amounts of the multiple functional groups;

A third calculation module for calculating preference metrics of the plurality of functional groups based on the browsing amounts of the plurality of functional groups, the transaction amounts of the plurality of functional groups, weights of the browsing amounts of the plurality of functional groups, and weights of the transaction amounts of the plurality of functional groups; and

And the twelfth generation module is used for carrying out preference sequencing on the plurality of functional groups based on the preference metrics of the plurality of functional groups and generating sequencing numbers of the plurality of functional groups.

According to an embodiment of the disclosure, the third computing module includes:

A fourth calculation module, configured to calculate a product of browsing amounts of the plurality of functional groups and weights of browsing amounts of the plurality of functional groups corresponding to the browsing amounts of the plurality of functional groups, and generate first association values of the plurality of functional groups;

A fifth calculation module, configured to calculate a product of the transaction amounts of the plurality of functional groups and weights of the transaction amounts of the plurality of functional groups corresponding to the transaction amounts of the plurality of functional groups, and generate second association values of the plurality of functional groups; and

And a sixth calculation module, configured to calculate a sum of the first association values of the plurality of function groups and the second association values of the plurality of function groups, and generate preference metrics of the plurality of function groups.

According to an embodiment of the disclosure, the first computing module includes:

a third obtaining module, configured to obtain client display data, where the client display data includes: a human-computer interaction interface;

The thirteenth generation module is used for carrying out the coordinated processing on the man-machine interaction interface to generate a standardized coordinate map of the man-machine interaction interface;

The fourteenth generation module is used for calibrating the standardized coordinate map of the man-machine interaction interface of the plurality of second operation function point positions to generate a plurality of second operation function point position coordinates;

the fifteenth generation module is used for correcting the plurality of second operation function point location coordinates and generating a plurality of corrected second operation function point location coordinates; and

And a seventh calculation module, configured to calculate a second operation distance of the target function group based on the plurality of corrected second operation function point location coordinates and an operation path of the target function group.

An embodiment of the present disclosure is characterized in that the fourteenth generating module includes:

A fourth obtaining module, configured to obtain the number of pixels occupied by the plurality of second operation function points;

An eighth calculation module, configured to calculate a quotient of a number of pixels occupied by the plurality of second operation function points divided by a page resolution of the client, to generate a plurality of third association values; and

And a ninth calculation module, configured to calculate products of the third association values and pixel densities of the client display, and generate coordinates of the second operation function points.

An embodiment of the present disclosure is characterized in that the fifteenth generating module includes:

A fifth acquisition module, configured to acquire a user interaction behavior;

the determining module is used for determining the user interaction time cost according to the user interaction behavior;

A tenth calculation module for calculating a spatial correction coefficient based on the user interaction time cost; and

And the sixteenth generation module is used for correcting the plurality of second operation function point location coordinates based on the spatial correction coefficient to generate a plurality of corrected second operation function point location coordinates.

According to an embodiment of the disclosure, the seventh calculation module includes:

the sixth acquisition module is used for acquiring the coordinates of the focusing point of the page;

A seventeenth generating module, configured to calculate euclidean distances between adjacent second operation function point location coordinates in multiple operation paths in the target function group by using the focus point coordinate as a coordinate starting point, and generate multiple first correlation distances, where the multiple first correlation distances are in one-to-one correspondence with the adjacent second operation function point location coordinates in the multiple operation paths in the target function group;

an eleventh calculation module, configured to calculate a sum of the plurality of first association distances, and generate a second association distance;

a twelfth calculation module, configured to calculate a page jump distance of each pair of adjacent second operation function point location coordinates in the operation path in the target function group, and generate a plurality of third association distances;

a thirteenth calculation module, configured to calculate a sum of the plurality of third association distances, and generate a fourth association distance;

And a fourteenth calculation module, configured to calculate a sum of the second association distance and the fourth association distance, and generate a second operation distance of the target function group.

An embodiment according to the present disclosure is characterized in that the twelfth calculation module includes:

A fifteenth calculation module, configured to calculate a page distance coefficient of each pair of adjacent second operation function point location coordinates;

A sixteenth calculation module, configured to calculate a sum of a plurality of first association distances corresponding to each pair of adjacent second operation function point location coordinates, and generate a plurality of fifth association distances; and

A seventeenth calculating module, configured to calculate a product of the plurality of fifth association distances and the page distance coefficients of each pair of adjacent second operation function point location coordinates, to generate a plurality of third association distances.

According to an embodiment of the disclosure, the fifteenth calculation module includes:

A seventh acquisition module, configured to acquire a data amount, a network loading speed and a terminal rendering speed of page loading contents of each pair of adjacent second operation function point location coordinates; and

And an eighteenth calculation module, configured to calculate a page distance coefficient of each pair of adjacent second operation function point location coordinates based on the data amount of the page loading content, the network loading speed, and the terminal rendering speed.

According to a third aspect of the present disclosure there is provided an electronic device comprising:

one or more processors;

storage means for storing one or more programs,

Wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the above-described interface operation function point location update distribution method.

According to a fourth aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the above-described interface operation function point location update issue method.

There is also provided in accordance with a fifth aspect of the present disclosure a computer program product comprising a computer program which, when executed by a processor, implements the above-described interface operation function point location update distribution method.

According to the method, the log is analyzed to obtain the first operation distance of the functional group and the point position of the preset functional group, then the second operation distance is calculated, the difference value of the first operation distance and the second operation distance is calculated, and the difference value is judged, so that the technical means of high-quality updating of the interface operation function point position is achieved. Meanwhile, the page loading speed is improved, and the technical effect of the pressure of the server is reduced.

Drawings

The foregoing and other objects, features and advantages of the disclosure will be more apparent from the following description of embodiments of the disclosure with reference to the accompanying drawings, in which:

FIG. 1 schematically illustrates an application scenario diagram of an interface operation function point location update publication method and apparatus according to an embodiment of the present disclosure;

FIG. 2 schematically illustrates a flow chart of an interface operation function point location update publication method according to an embodiment of the present disclosure;

FIG. 3 schematically illustrates a flowchart of generating single-use single-function behavioral data for each user in an interface operation function point location update publication method according to an embodiment of the present disclosure;

FIG. 4 schematically illustrates a schematic diagram of another implementation routine of an interface operation function point location update distribution method according to an embodiment of the present disclosure;

FIG. 5 schematically illustrates a schematic diagram of generating an operation path in an interface operation function point location update issue method according to an embodiment of the present disclosure;

FIG. 6 schematically illustrates a flowchart of generating a first operation distance in an interface operation function point location update issue method according to an embodiment of the present disclosure;

FIG. 7 schematically illustrates a flowchart of generating a ranking number of a plurality of function groups in an interface operation function point location update issue method according to an embodiment of the present disclosure;

FIG. 8 schematically illustrates a flow chart of generating preference metrics for multiple functional groups in an interface operation functional point location update publication method according to an embodiment of the present disclosure;

FIG. 9 schematically illustrates a flowchart of calculating a second operation distance of a target function group in an interface operation function point location update issue method according to an embodiment of the present disclosure;

FIG. 10 schematically illustrates a schematic diagram of calibrating a second operation function point in an interface operation function point location update issue method according to an embodiment of the present disclosure;

FIG. 11 schematically illustrates a flowchart of generating a second operation function point in an interface operation function point location update issue method according to an embodiment of the present disclosure;

FIG. 12 schematically illustrates a flowchart of correcting a second operation function point in an interface operation function point location update distribution method according to an embodiment of the present disclosure;

FIG. 13 schematically illustrates a schematic diagram of correcting a second operation function point in an interface operation function point location update issue method according to an embodiment of the present disclosure;

FIG. 14 schematically illustrates a flowchart of generating a second operation distance for a target function group in an interface operation function point location update publication method according to an embodiment of the present disclosure;

FIG. 15 schematically illustrates a diagram of acquiring focal point coordinates in an interface operation function point location update issue method according to an embodiment of the present disclosure;

FIG. 16 schematically illustrates a schematic diagram of a multi-level stereoscopic space generating a third correlation distance in an interface operation function point location update issue method according to an embodiment of the present disclosure;

FIG. 17 schematically illustrates a flowchart of generating a third associated distance in an interface operation function point location update publication method according to an embodiment of the present disclosure;

FIG. 18 schematically illustrates a flowchart of calculating a page distance coefficient distance in an interface operation function point location update publication method according to an embodiment of the present disclosure;

FIG. 19 schematically illustrates a block diagram of an interface operation function point location update issue device according to an embodiment of the present disclosure;

FIG. 20 schematically illustrates a block diagram of a first generation module in an interface operation function point location update issue device according to an embodiment of the present disclosure;

FIG. 21 schematically illustrates a block diagram of a fifth generation module in an interface operation function point location update issue device according to an embodiment of the present disclosure;

FIG. 22 is a block diagram schematically illustrating a tenth generation module in an interface operation function point location update issuing apparatus according to an embodiment of the present disclosure;

FIG. 23 schematically illustrates a block diagram of a third computing module in an interface operation function point location update issue device according to an embodiment of the present disclosure;

FIG. 24 schematically illustrates a block diagram of a first computing module in an interface operation function point location update issue device according to an embodiment of the present disclosure;

FIG. 25 schematically illustrates a block diagram of a fourteenth generation module in an interface operation function point location update issue device according to an embodiment of the present disclosure;

FIG. 26 is a block diagram schematically illustrating a configuration of a fifteenth generation module in an interface operation function point location update issuing apparatus according to an embodiment of the present disclosure;

FIG. 27 is a block diagram schematically illustrating a seventh calculation module in an interface operation function point location update issuing apparatus according to an embodiment of the present disclosure;

FIG. 28 is a block diagram schematically illustrating a configuration of a twelfth calculation module in the interface operation function point location update issuing apparatus according to an embodiment of the present disclosure;

FIG. 29 is a block diagram schematically illustrating a configuration of a fifteenth calculation module in an interface operation function point location update issuing apparatus according to an embodiment of the present disclosure;

fig. 30 schematically illustrates a block diagram of an electronic device adapted to implement an interface operation function point location update distribution method according to an embodiment of the present disclosure.

Detailed Description

Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is only exemplary and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. In addition, in the following description, descriptions of well-known structures and techniques are omitted so as not to unnecessarily obscure the concepts of the present disclosure.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. The terms "comprises," "comprising," and/or the like, as used herein, specify the presence of stated features, steps, operations, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, or components.

All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It should be noted that the terms used herein should be construed to have meanings consistent with the context of the present specification and should not be construed in an idealized or overly formal manner.

Where a convention analogous to "at least one of A, B and C, etc." is used, in general such a convention should be interpreted in accordance with the meaning of one of skill in the art having generally understood the convention (e.g., "a system having at least one of A, B and C" would include, but not be limited to, systems having a alone, B alone, C alone, a and B together, a and C together, B and C together, and/or A, B, C together, etc.).

Some of the block diagrams and/or flowchart illustrations are shown in the figures. It will be understood that some blocks of the block diagrams and/or flowchart illustrations, or combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable control apparatus, such that the instructions, when executed by the processor, create means for implementing the functions/acts specified in the block diagrams and/or flowchart.

First, technical terms appearing herein are explained as follows:

the operation function point position refers to an interface element for the user to interact with the APP when the user uses the APP, and specifically can be a function operation button in the APP. The point location design of the operation function in the APP generally needs to comprehensively consider factors in multiple aspects such as user habit, operation convenience, interface aesthetic property, technical implementation and the like, so as to provide the optimal user experience.

The function group refers to a set of operating function points that a user needs to operate when using the APP to implement an application function or complete a series of actions of a service event.

The visual focus refers to the center point of the eyes and the attention in the initial state when the user uses the APP. The visual focus will generally be concentrated in the middle-upper region of the device.

The embodiment of the disclosure provides a method for issuing point position update of an interface operation function, which comprises the following steps: and acquiring user behavior log data, grouping the user behavior log data, and generating behavior data of each user logging in a single function group once. Wherein, the behavior data of each user logging in a single function group once comprises: each user logs in a plurality of first operation function points of a single function group and a plurality of operation behavior time stamps corresponding to the plurality of first operation function points at a single time. And generating an operation path of each user single-login single function group based on the plurality of first operation function points of each user single-login single function group and the plurality of operation behavior time stamps. And generating the operation distances of a plurality of function groups based on the operation path of each user logging in a single function group at a time. And acquiring the operation distance of the target function group from the operation distances of the plurality of function groups, and generating a first operation distance. And carrying out preset position updating on the plurality of first operation function points of the target function group to generate a plurality of second operation function points. And calculating a second operation distance of the target function group based on the plurality of second operation function points. And calculating a difference value between the first operation distance of the target function group and the second operation distance of the target function group to obtain an reachable distance. Presetting a threshold value of an reachable distance, and if the reachable distance is smaller than or equal to the threshold value of the reachable distance, updating and releasing a plurality of second operation function points of the target function group.

Fig. 1 schematically illustrates an application scenario diagram of an interface operation function point location update release method and apparatus according to an embodiment of the present disclosure. It should be noted that fig. 1 is merely an example of a scenario in which embodiments of the present disclosure may be applied to assist those skilled in the art in understanding the technical content of the present disclosure, but does not mean that embodiments of the present disclosure may not be used in other devices, systems, environments, or scenarios.

As shown in fig. 1, the application scenario 100 according to this embodiment may include a plurality of application terminals and application servers. For example, the plurality of application terminals includes an application terminal 101, an application terminal 102, an application terminal 103, and the like. The network 104 is used as a medium to provide communication links between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The user may interact with the application server 105 via the network 104 using the application terminal devices 101, 102, 103 to receive or send messages or the like. Various application programs such as shopping class applications, web browser applications, search class applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only) may be installed on the application terminal devices 101, 102, 103.

The terminal devices 101, 102, 103 may be a variety of electronic devices having a display screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.

The server 105 may be a server providing various services, such as a background management server (by way of example only) providing support for websites browsed by users using the terminal devices 101, 102, 103. The background management server may analyze and process the received data such as the user request, and feed back the processing result (e.g., the web page, information, or data obtained or generated according to the user request) to the terminal device.

It should be noted that, the method for issuing the point location update of the interface operation function provided in the embodiments of the present disclosure may be generally executed by the server 105. Accordingly, the interface operation function point location update issue device provided by the embodiments of the present disclosure may be generally disposed in the server 105. The method for issuing the point location update of the interface operation function provided by the embodiments of the present disclosure may also be performed by a server or a server cluster which is different from the server 105 and is capable of communicating with the terminal devices 101, 102, 103 and/or the server 105. Accordingly, the interface operation function point location update issue device provided by the embodiments of the present disclosure may also be provided in a server or a server cluster that is different from the server 105 and is capable of communicating with the terminal devices 101, 102, 103 and/or the server 105.

It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.

The following will describe in detail the method for issuing the point position update of the interface operation function according to the disclosed embodiment with reference to fig. 2 to 18 based on the scenario described in fig. 1. It should be noted that the above application scenario is only shown for the convenience of understanding the spirit and principles of the present disclosure, and the embodiments of the present disclosure are not limited in any way in this respect. Rather, embodiments of the present disclosure may be applied to any scenario where applicable.

Fig. 2 schematically illustrates a flowchart of an interface operation function point location update issue method according to an embodiment of the present disclosure.

As shown in fig. 2, the method 200 includes steps S201 to S210.

Step S201, user behavior log data is acquired.

In embodiments of the present disclosure, the user's consent or authorization may be obtained prior to obtaining the user's information. For example, before operation S210, a request to acquire user information may be issued to the user. In case the user agrees or authorizes that the user information can be acquired, the operation S210 is performed. Thus, the operation log for recording the effective actions of the user is mined from the historical data of the target product log.

Step S202, grouping the user behavior log data, and generating behavior data of each user single-login single function group, where the behavior data of each user single-login single function group includes: each user logs in a plurality of first operation function points of a single function group and a plurality of operation behavior time stamps corresponding to the plurality of first operation function points at a single time.

Fig. 3 schematically illustrates a flowchart of generating single-function behavior data for each user in the interface operation function point location update issue method according to an embodiment of the present disclosure.

As shown in fig. 3, the method 300 includes steps S301 to S304.

Step S301, analyzing the user behavior data to generate user behavior data characteristics.

Step S302, based on the user behavior data features, grouping the user behavior data to generate a plurality of functional group behavior data of a plurality of users logged in for a plurality of times.

Step S303, performing noise reduction processing on the multiple-user multiple-login multiple-function-group behavior data, and generating multiple-user multiple-login multiple-function-group behavior data after noise reduction.

Step S304, splitting behavior data of the noise-reduced multiple-user multiple-login multiple function groups, and generating behavior data of each user single-login single function group.

Fig. 4 schematically illustrates a schematic diagram of another implementation routine of the interface operation function point location update release method according to an embodiment of the present disclosure.

In another embodiment, as shown in fig. 4, the collected operation logs may be first subjected to data preprocessing such as screening, deduplication, anomaly removal, and the like, so as to reduce the influence of noise information. And splitting the log information into groups according to the user and the single login in the step, and outputting the continuous behavior grouping data of the user.

Through historical data analysis, behavior data of each user logging in a single function group at a time can be accurately obtained, so that accuracy of the first operation distance is improved.

Referring back to fig. 2, in step S203, an operation path of each user single-login single function group is generated based on the plurality of first operation function points of each user single-login single function group and the plurality of operation behavior time stamps. The path of operation for each user to log in a single function group at a time is shown in table one.

List one

Fig. 5 schematically illustrates a schematic diagram of generating an operation path in an interface operation function point location update issue method according to an embodiment of the present disclosure.

As shown in fig. 5, based on the plurality of first operation function points and the plurality of operation behavior time stamps of the single function group of each user single login, the log time sequence data of the single user login is obtained. The process that the user touches a function can be obtained through the time sequence data of the single user login log, and then the operation path of each single user login single function group is generated.

Referring back to fig. 2, in step S204, the operation distances of the plurality of function groups are generated based on the operation path of the single function group for each user.

For example, the operation distances of the plurality of functional groups may be output by inputting a neural network model trained in advance based on the first operation path.

The output of the operation distance of the functional group is carried out through the neural network model, so that the accuracy of the first operation distance is further enhanced, and the reliability of the number update release is improved.

Step S205, the operation distance of the target function group is obtained from the operation distances of the plurality of function groups, and a first operation distance is generated.

Fig. 6 schematically illustrates a flowchart of generating a first operation distance in an interface operation function point location update issue method according to an embodiment of the present disclosure.

As shown in fig. 6, the method 600 includes steps S601 to S604.

Step S601, performing preference ranking on the plurality of functional groups, and generating ranking numbers of the plurality of functional groups.

Fig. 7 schematically illustrates a flowchart of generating a ranking number of a plurality of function groups in an interface operation function point location update issue method according to an embodiment of the present disclosure.

As shown in fig. 7, the method 700 includes steps S701 to S704.

Step S701, obtaining browsing amounts of the plurality of function groups and transaction amounts of the plurality of function groups.

The user behavior data mainly comprises flow data and transaction amount data of the user behavior data in the functional group. The flow data comprises a function group browsing amount, and mainly reflects the preference condition of a user on page functions; the transaction amount data mainly comprises final transaction amount data of the functional group transaction business, and can reflect the current business operation index condition while reflecting the user preference. For example, a browsing amount of a plurality of functional groups and a transaction amount of the plurality of functional groups may be acquired, wherein the browsing amount is represented by PV and the transaction amount is represented by VOL.

Step S702, presetting weights of browsing amounts of the plurality of functional groups and weights of transaction amounts of the plurality of functional groups.

For example, the browsing amounts of the plurality of functional groups may be preset to be weighted δ and the transaction amounts of the plurality of functional groups may be weighted Φ.

Step S703 of calculating a preference metric of the plurality of functional groups based on the browsing amounts of the plurality of functional groups, the transaction amounts of the plurality of functional groups, the weights of the browsing amounts of the plurality of functional groups, and the weights of the transaction amounts of the plurality of functional groups.

Fig. 8 schematically illustrates a flowchart of generating preference metrics for multiple functional groups in an interface operation functional point location update publication method according to an embodiment of the present disclosure.

As shown in fig. 8, the method 800 includes steps S801 to S803.

Step S801 calculates a product of the browsing amounts of the plurality of functional groups and weights of the browsing amounts of the plurality of functional groups corresponding to the browsing amounts of the plurality of functional groups, and generates a first association value of the plurality of functional groups.

For example, the product of the browsing amount PV of the plurality of functional groups and the weight δ of the browsing amount of the plurality of functional groups corresponding thereto may be calculated, and the first association value pv×δ of the plurality of functional groups may be generated.

Step 802, calculating the product of the transaction amounts of the plurality of functional groups and the weights of the transaction amounts of the plurality of functional groups corresponding to the transaction amounts of the plurality of functional groups, and generating a second association value of the plurality of functional groups.

For example, a product Φ of the transaction amounts VOL of the plurality of functional groups and the weights of the transaction amounts of the plurality of functional groups corresponding thereto may be calculated, and the second association values VOL Φ of the plurality of functional groups may be generated.

Step S803, calculating a sum of the first association values of the plurality of functional groups and the second association values of the plurality of functional groups, and generating preference metrics of the plurality of functional groups.

For example, the preference metrics for multiple functional groups may be represented by CPs, and the user preference ranking score may be represented by the following formula:

CP＝PV*δ+VOL*φ

Wherein CP refers to a measure of user preference; PV refers to the amount of browsing; VOL represents the transaction amount. And weights delta and phi may be determined based on staged business objectives, such as: the current functional point is used for promoting the user to actively watch the traffic data more, and the weights of the browsing amount and the transaction amount are respectively (1, 0).

By calculating the preference metrics, the reliability of the preset points can be increased.

Referring back to fig. 7, in step S704, the plurality of functional groups are preferentially ordered based on the preference metrics of the plurality of functional groups, and an order number of the plurality of functional groups is generated.

Finally, according to the preference measurement CP of the plurality of functional groups, the plurality of functional groups are sequentially subjected to functional preference sequencing, and sequencing numbers of the plurality of functional groups are obtained.

Through the ordering of the functional point positions, the point positions of user preference and the point positions of user dislike can be determined, and the operation point positions can be conveniently adjusted.

Referring back to fig. 6, in step S602, a sorting sequence number threshold is preset, and if the sorting sequence number of the plurality of function groups is greater than the preset sorting sequence number threshold, the plurality of function groups greater than the preset sorting sequence number threshold are regarded as target function groups.

Step S603, obtaining an operation distance of the target function group, and generating a first operation distance.

The preset position is updated through preference, so that the updated position is favored by a user, and the effect of causing the user proposal to lose the client is avoided.

Referring back to fig. 2, in step S206, a preset location update is performed on the plurality of first operation function points of the target function group, so as to generate a plurality of second operation function points.

Step S207, calculating a second operation distance of the target function group based on the plurality of second operation function points.

Fig. 9 schematically illustrates a flowchart of calculating a second operation distance of a target function group in the interface operation function point location update issue method according to the embodiment of the present disclosure.

As shown in fig. 9, the method 900 includes steps S901 to S905.

Step S901, obtaining client display data, where the client display data includes: the method comprises the steps of a human-computer interaction interface, page resolution of a client and pixel density of a client display.

And step S902, carrying out coordinated processing on the man-machine interaction interface to generate a standardized coordinate map of the man-machine interaction interface.

For example, in order to implement quantitative analysis of man-machine interaction of a mobile terminal, a functional point clicked by a user needs to be abstractly mapped into a map with a unified dimension, so that complex spatial analysis is performed. And generating a standardized coordinate map of the human-computer interaction interface by taking the upper left corner of the human-computer interaction interface as an original point, taking the horizontal axis of the original point as an x axis and taking the vertical axis of the original point as a y axis, wherein the x axis is gradually increased from left to right by taking the original point as a starting position, and the x axis is gradually increased from top to bottom by taking the original point as the starting position, so as to generate the standardized coordinate map of the human-computer interaction interface.

By generating the coordinate map, the reliability and accuracy of the coordinates of the second operation function point location are increased.

Referring back to fig. 9, in step S903, the standardized coordinate map of the man-machine interaction interface is calibrated to the plurality of second operation function points, so as to generate a plurality of second operation function point coordinates.

Fig. 10 schematically illustrates a schematic diagram of calibrating a second operation function point in the interface operation function point location update issue method according to an embodiment of the present disclosure.

For example, as shown in fig. 10, the man-machine interaction interface of the product and its functions may be calibrated, so as to obtain the space coordinates corresponding to each operation event in the user behavior log, that is, the page space coordinates of the functional points such as the buttons and the entrance of the operation of the product.

Fig. 11 schematically illustrates a flowchart of generating a second operation function point in the interface operation function point location update issue method according to an embodiment of the present disclosure.

As shown in fig. 10 and 11, the method 1100 includes steps S1101 to S1103.

Step S1101, obtaining the number of pixels occupied by the plurality of second operation function points.

Step S1102, calculating a quotient of the number of pixels occupied by the plurality of second operation function points divided by the page resolution of the client, and generating a plurality of third association values.

Step S1103, calculating products of the third association values and pixel densities of the client display, and generating the second operation function point coordinates.

The plurality of second operation function point location coordinates are calculated according to the following formula:

Dot coordinates = pixel count/page resolution x screen pixel density

And the grid lines of the page can be determined based on the unit coordinates, so that the standardized coordinates of the functional point positions can be conveniently output subsequently. The product man-machine interaction page can be subjected to positioning conversion and output as standardized coordinates: (X, Y).

And the second operation function point position coordinates are calibrated, so that the calculation of the second operation distance is facilitated, and the accuracy of the second operation distance is improved.

Referring back to fig. 9, in step S904, the plurality of second operation function point coordinates are corrected, and a plurality of corrected second operation function point coordinates are generated.

Fig. 12 schematically illustrates a flowchart of correcting a second operation function point in the interface operation function point location update issue method according to an embodiment of the present disclosure.

As shown in fig. 12, the method 1200 includes steps S1201 to S1204.

Step S1201, a user interaction behavior is acquired.

For example, in a mobile product page, complex user interaction behaviors such as sliding, zooming and the like often occur, and the user interaction behaviors are obtained.

Step S1202, determining a user interaction time cost according to the user interaction behavior.

For example, the increased user interaction time cost of the interaction mode is determined according to the user interaction behavior.

In step S1203, based on the user interaction time cost, a spatial correction coefficient is calculated.

For example, the spatial correction coefficient may be set to α, and the determination of the spatial correction coefficient α is mainly based on the time cost T _action (unit: seconds s) consumed by the user when performing such interactive operation, and the spatial correction coefficient α may be calculated according to the following formula: )

Step S1204, based on the spatial correction coefficient, correcting the plurality of second operation function point location coordinates, and generating a plurality of corrected second operation function point location coordinates.

The corrected spatial coordinates are:

(X*α，Y*α)

For example: a functional area needs to slide rightwards from the diamond area to touch, so that more time is needed for the sliding area beyond the initial display range of the mobile end window, and the space distance needs to be multiplied by 1.1 times, namely, the corrected space coordinates are (1.1X, 1.1Y).

Fig. 13 schematically illustrates a schematic diagram of correcting a second operation function point in the interface operation function point location update issue method according to an embodiment of the present disclosure.

As shown in fig. 13, in the software product page, for different user interaction behaviors, different spatial correction coefficients are required to be adopted on the constructed standardized coordinate map to carry out re-projection, so as to ensure accurate quantification of comfort and convenience of user experience.

Through the space correction coefficient, a plurality of second operation function point positions can adapt to complex user interaction behaviors such as sliding, zooming and the like, and reliability is improved.

Referring back to fig. 9, in step S905, a second operation distance of the target function group is calculated based on the plurality of corrected second operation function point position coordinates and the operation path of the target function group.

Fig. 14 schematically illustrates a flowchart of generating a second operation distance of a target function group in the interface operation function point location update issue method according to the embodiment of the present disclosure.

As shown in fig. 14, the method 1400 includes steps S1401 to S1406.

In step S1401, the focus point coordinates of the page are acquired.

Fig. 15 schematically illustrates a schematic diagram of acquiring focal point coordinates in an interface operation function point location update issue method according to an embodiment of the present disclosure.

As shown in fig. 15, at the time of page switching, the visual focus of the user is reset to the initial state due to new page loading and switching. The embodiment adopts the upper golden section point in the equipment as the initial point of the visual focus, thereby describing the function accessibility distance more accurately.

Therefore, as shown in the following figure, the visual focus initial point is located at the coordinate position of 0.382 scale on the X-axis middle and the Y-axis. Namely, the initial point coordinates of the visual focus are:

Xo＝W/2

Yo＝H/0.382

where Xo is the visual focus initial point X coordinate, yo is the visual focus initial point Y coordinate, W is the page width, and H is the page height.

Referring back to fig. 14, in step S1402, the focusing point coordinates are used as a coordinate starting point, and euclidean distances of adjacent second operation function point coordinates in a plurality of operation paths in the target function group are calculated, so as to generate a plurality of first correlation distances, where the plurality of first correlation distances are in one-to-one correspondence with the adjacent second operation function point coordinates in the plurality of operation paths in the target function group.

For example, the focusing point coordinates may be used as a coordinate starting point, the euclidean distances of the coordinates of the adjacent second operation function points in the multiple operation paths in the target function group may be calculated, and multiple first correlation distances D ₁ are generated, where a calculation formula of the first correlation distances D ₁ is:

D₁＝sqrt((x1-x2)²+(y1-y2)²)

wherein x1, y1 and x2, y2 represent the initial coordinates when the user touches the function and the coordinates of the anchor point of the operation performed, respectively.

Step S1403, calculating the sum of the plurality of first association distances, and generating a second association distance.

For example, a sum of a plurality of the plurality of first associated distances D ₁ may be calculated, generating a second associated distance D _total1.

Step S1404, calculating a page jump distance of each pair of adjacent second operation function point coordinates in the operation path in the target function group, and generating a plurality of third association distances.

Fig. 16 schematically illustrates a schematic diagram of a multi-level stereoscopic space for generating a third association distance in an interface operation function point location update issue method according to an embodiment of the present disclosure.

As shown in fig. 16, when two interface operation function point positions are on different pages, the two interface operation function point positions are respectively mapped into maps of different levels, and the cost on user interaction experience is considered when switching between levels, so that different levels of a product are constructed into a multi-level three-dimensional space.

Fig. 17 schematically illustrates a flowchart of generating a third association distance in the interface operation function point location update issue method according to an embodiment of the present disclosure.

As shown in fig. 17, the method 1700 includes steps S1701 to S1703.

Step S1701, calculating a page distance coefficient of each pair of adjacent second operation function point coordinates.

Fig. 18 schematically illustrates a flowchart for calculating a page distance coefficient distance in the interface operation function point location update issue method according to an embodiment of the present disclosure.

As shown in fig. 18, the method 1800 includes steps S1801 to S1802.

Step S1801, acquiring the data amount, the network loading speed and the terminal rendering speed of the page loading content of each pair of adjacent second operation function point coordinates.

For example, when an operation needs to span multiple pages, the two pages are independent of each other, requiring re-rendering of the load. The data volume, the network loading speed and the terminal rendering speed of the page loading content of each pair of adjacent second operation function point position coordinates can be obtained.

Step S1802, calculating a page distance coefficient of each pair of adjacent second operation function point location coordinates based on the data amount of the page loading content, the network loading speed and the terminal rendering speed.

According to the embodiment of the disclosure, data of the network speed, the total size of the loaded content and the rendering performance calculated by the mobile terminal are used as the value basis of the distance coefficient epsilon, and meanwhile, the user experience and the increase of the loading time form an exponential growth relation. Therefore, the distance coefficient calculation formula is:

ε＝(C_P/S_i+C_P/S_r)²

Wherein epsilon represents a distance coefficient during page switching, C _P represents the total size of page loading content, and the unit is MB; s _i is the network loading speed, and the unit is MB/S; s _r represents the terminal rendering speed in MB/S.

By calculating the page distance coefficient, the accuracy of the second operation distance is improved.

Referring back to fig. 17, in step S1702, the sum of the plurality of first correlation distances corresponding to each pair of adjacent second operation function point coordinates is calculated, and a plurality of fifth correlation distances is generated.

For example, a sum of a plurality of first association distances corresponding to each pair of adjacent second operation function point coordinates may be calculated based on a sum of a distance D _last from the final point of the previous page to the initial visual focus and a distance D _first from the initial visual focus to the first operation of the next page, to generate a plurality of fifth association distances, where the fifth association distance is D _first+D_last.

Step S1703, calculating a product of the plurality of fifth association distances and the page distance coefficients of each pair of adjacent second operation function point coordinates, and generating a plurality of third association distances.

For example, the distance coefficient ε of the time spent by page load T _load and traffic V may be multiplied as the distance needed to span the page D ₂ based on the fifth associated distance D _first+D_last. The formula is as follows:

D₂＝(D_last+D_first)*ε

and the reliability of the second operation distance is increased by calculating the page jump distance.

Referring back to fig. 14, in step S1405, the sum of the plurality of third association distances is calculated, and a fourth association distance is generated.

For example, a sum of a plurality of the plurality of first associated distances D ₂ may be calculated, generating a second associated distance D _total2.

Step S1406, calculating a sum of the second association distance and the fourth association distance, and generating a second operation distance of the target function group.

For example, the sum of the second associated distance D ₁ and the fourth associated distance D ₂ is calculated, generating a second operating distance for the target function group.

And the second operation distance of the target function group is calculated by introducing the focusing point coordinates, so that the updated second operation function point position is more practical, and the user experience is improved. Through the coordinated interface and the calibration correction point positions, the system can adapt to user interaction behaviors such as sliding or zooming, and the obtained second operation distance is more accurate.

Referring back to fig. 2, in step S208, a difference between the first operation distance of the target function group and the second operation distance of the target function group is calculated, resulting in an reachable distance.

In step S209, a threshold value of the reachable distance is preset.

Step S210, if the reachable distance is less than or equal to the threshold of the reachable distance, updating and publishing a plurality of second operation function points of the target function group.

Fig. 19 schematically illustrates a block diagram of the structure of the interface operation function point location update issue device according to the embodiment of the present disclosure.

As shown in fig. 19, the apparatus 1900 includes: a first acquisition module 1901, a first generation module 1902, a second generation module 1903, a third generation module 1904, a fourth generation module 1905, a fifth generation module 1906, a first calculation module 1907, a second calculation module 1908, a first preset module 1909, and a publication module 1910.

A first obtaining module 1901 is configured to obtain user behavior log data. In an embodiment, the first obtaining module 1901 may be used to perform the step S201 described above, which is not described herein.

A first generating module 1902, configured to group the user behavior log data, and generate behavior data of each user single-login single function group, where the behavior data of each user single-login single function group includes: each user logs in a plurality of first operation function points of a single function group and a plurality of operation behavior time stamps corresponding to the plurality of first operation function points at a single time. In an embodiment, the first generation module 1902 may be configured to perform step S202 described above.

Fig. 20 schematically illustrates a block diagram of a first generation module in the interface operation function point location update issue device according to an embodiment of the present disclosure.

As shown in fig. 20, the first generation module 1902 includes: a sixth generation module 2001, a seventh generation module 2002, an eighth generation module 2003, and a ninth generation module 2004.

The sixth generating module 2001 is configured to analyze the user behavior data and generate a user behavior data feature. In an embodiment, the sixth generating module 2001 may be used to perform the step S301 described above, which is not described herein.

A seventh generating module 2002, configured to group the user behavior data based on the user behavior data features, and generate a plurality of functional group behavior data that are logged in by a plurality of users for multiple times. In an embodiment, the seventh generating module 2002 may be used to perform the step S302 described above, which is not described herein.

The eighth generating module 2003 is configured to perform noise reduction processing on the multiple-user multiple-login multiple-function-group behavior data, and generate multiple-user multiple-login multiple-function-group behavior data after noise reduction. In an embodiment, the eighth generating module 2003 may be used to perform the step S303 described above, which is not described herein.

A ninth generating module 2004, configured to split the behavior data of the multiple functional groups of multiple user logins after the noise reduction, and generate behavior data of a single functional group of each user login. In an embodiment, the ninth generating module 2004 may be used to perform the step S304 described above, which is not described herein.

Referring back to fig. 19, the second generating module 1903 is configured to generate an operation path of each user that logs in to a single function group once based on the plurality of first operation function points of each user that logs in to a single function group once and the plurality of operation behavior time stamps. In an embodiment, the second generating module 1903 may be used to perform the step S203 described above, which is not described herein.

A third generating module 1904, configured to generate operation distances of multiple function groups based on the operation path of each user logging in a single function group at a time. In an embodiment, the third generating module 1904 may be used to perform the step S204 described above, which is not described herein.

A fourth generating module 1905, configured to obtain an operation distance of the target function group from the operation distances of the plurality of function groups, and generate a first operation distance. In an embodiment, the fourth generating module 1905 may be used to perform the step S205 described above, which is not described herein.

And a fifth generating module 1906, configured to update preset positions of the plurality of first operation function points of the target function group, and generate a plurality of second operation function points. In an embodiment, the fifth generating module 1906 may be used to perform step S206 described above.

Fig. 21 schematically illustrates a block diagram of a fifth generation module in the interface operation function point location update issue device according to an embodiment of the present disclosure.

As shown in fig. 21, the fifth generation module 1906 includes: a tenth generation module 2101, a second preset module 2102, and an eleventh generation module 2103.

The tenth generating module 2101 is configured to perform preference ranking on the plurality of function groups, and generate ranking numbers of the plurality of function groups. In an embodiment, the tenth generation module 2101 may be used to perform step S601 described previously.

Fig. 22 schematically shows a block diagram of a tenth generation module in the interface operation function point location update issuing apparatus according to the embodiment of the present disclosure.

As shown in fig. 22, the tenth generating module 2101 includes: a second acquisition module 2201, a third preset module 2202, a third calculation module 2203 and a twelfth generation module 2204.

A second obtaining module 2201 is configured to obtain browsing amounts of the plurality of function groups and transaction amounts of the plurality of function groups. In an embodiment, the second obtaining module 2201 may be configured to perform the step S701 described above, which is not described herein.

A third preset module 2202, configured to preset weights of browsing amounts of the plurality of functional groups and weights of transaction amounts of the plurality of functional groups. In an embodiment, the third preset module 2202 may be used to perform the step S702 described above, which is not described herein.

The third calculation module 2203 is configured to calculate a preference metric of the plurality of functional groups based on the browsing amounts of the plurality of functional groups, the transaction amounts of the plurality of functional groups, the weights of the browsing amounts of the plurality of functional groups, and the weights of the transaction amounts of the plurality of functional groups. In an embodiment, the third computing module 2203 may be configured to perform step S703 described above.

Fig. 23 schematically illustrates a block diagram of a third calculation module in the interface operation function point location update issue device according to the embodiment of the present disclosure.

As shown in fig. 23, the third calculation module 2203 includes: a fourth computing module 2301, a fifth computing module 2302 and a sixth computing module 2303.

A fourth calculating module 2301, configured to calculate a product of the browsing amounts of the plurality of function groups and weights of the browsing amounts of the plurality of function groups corresponding to the browsing amounts of the plurality of function groups, and generate first association values of the plurality of function groups. In an embodiment, the fourth computing module 2301 may be used to perform the step S801 described above, which is not described herein.

A fifth calculating module 2302, configured to calculate a product of the transaction amounts of the plurality of functional groups and weights of the transaction amounts of the plurality of functional groups corresponding to the transaction amounts of the plurality of functional groups, and generate second association values of the plurality of functional groups. In an embodiment, the fifth computing module 2302 may be used to perform the step S802 described above, which is not described herein.

A sixth computing module 2303 is configured to compute a sum of the first association values of the plurality of functional groups and the second association values of the plurality of functional groups, and generate preference metrics for the plurality of functional groups. In an embodiment, the sixth computing module 2303 may be used to perform the step S803 described above, which is not described herein.

Referring back to fig. 22, a twelfth generating module 2204 is configured to generate a ranking number of the plurality of functional groups by performing preference ranking on the plurality of functional groups based on the preference metrics of the plurality of functional groups. In an embodiment, the twelfth generating module 2204 may be configured to perform the step S704 described above, which is not described herein.

Referring back to fig. 21, the second preset module 2102 is configured to preset a ranking number threshold, and if the ranking number of the plurality of functional groups is greater than the preset ranking number threshold, the plurality of functional groups that are greater than the preset ranking number threshold are regarded as target functional groups. In an embodiment, the second preset module 2102 may be used to perform the step S602 described above, which is not described herein.

An eleventh generating module 2103 for acquiring an operation distance of the target function group and generating a first operation distance. In an embodiment, the eleventh generating module 2103 may be used for performing the step S603 described above, which is not described herein.

Referring back to fig. 19, a first calculating module 1907 is configured to calculate a second operation distance of the target function group based on the plurality of second operation function points. In an embodiment, the first calculation module 1907 may be used to perform step S207 described above.

Fig. 24 schematically illustrates a block diagram of a first calculation module in the interface operation function point location update issue device according to an embodiment of the present disclosure.

As shown in fig. 24, the first calculation module 1907 includes: a third acquisition module 2401, a thirteenth generation module 2402, a fourteenth generation module 2403, a fifteenth generation module 2404, and a seventh calculation module 2405.

A third obtaining module 2401, configured to obtain client display data, where the client display data includes: and a human-computer interaction interface. In an embodiment, the third obtaining module 2401 may be used to perform the step S901 described above, which is not described herein.

The thirteenth generating module 2402 is configured to coordinate the man-machine interaction interface to generate a standardized coordinate map of the man-machine interaction interface. In an embodiment, the thirteenth generating module 2402 may be configured to perform the step S902 described above, which is not described herein.

The fourteenth generation module 2403 is configured to calibrate the normalized coordinate map of the positions of the plurality of second operation function points on the human-computer interaction interface, so as to generate a plurality of coordinates of the positions of the second operation function points. In an embodiment, the fourteenth generation module 2403 may be configured to perform step S903 described above.

Fig. 25 schematically illustrates a block diagram of the fourteenth generation module in the interface operation function point location update issuing apparatus according to the embodiment of the present disclosure.

As shown in fig. 25, the fourteenth generation module 2403 includes: a fourth acquisition module 2501, an eighth calculation module 2502, and a ninth calculation module 2503.

The fourth obtaining module 2501 is configured to obtain the number of pixels occupied by the plurality of second operation function points. In an embodiment, the fourth obtaining module 2501 may be configured to perform the step S1101 described above, which is not described herein.

An eighth calculating module 2502, configured to calculate a quotient of the number of pixels occupied by the plurality of second operation function points divided by the page resolution of the client, to generate a plurality of third association values. In an embodiment, the eighth computing module 2502 may be configured to perform the step S1102 described above, which is not described herein.

A ninth calculation module 2503 is configured to calculate a product of the plurality of third association values and the pixel density of the client display to generate the plurality of second operation function point location coordinates. In an embodiment, the ninth computing module 2503 may be configured to perform the step S1103 described above, which is not described herein.

Referring back to fig. 24, a fifteenth generating module 2404 is configured to correct the plurality of second operation function point coordinates to generate a plurality of corrected second operation function point coordinates. In an embodiment, the fifteenth generation module 2404 may be used to perform step S904 described previously.

Fig. 26 schematically shows a block diagram of the structure of a fifteenth generation module in the interface operation function point location update issuing apparatus according to the embodiment of the present disclosure.

As shown in fig. 26, the fifteenth generation module 2404 includes: a fifth acquisition module 2601, a determination module 2602, a tenth calculation module 2603, and a sixteenth generation module 2604.

A fifth obtaining module 2601 is configured to obtain user interaction behavior. In an embodiment, the fifth obtaining module 2601 may be used to perform the step S1201 described above, which is not described herein.

A determining module 2602, configured to determine a user interaction time cost according to the user interaction behavior. In an embodiment, the determining module 2602 may be used to perform the step S1202 described above, which is not described herein.

A tenth calculation module 2603 is configured to calculate a spatial correction coefficient based on the user interaction time cost. In an embodiment, the tenth calculation module 2603 may be used to perform the step S1203 described above, which is not described herein.

The sixteenth generating module 2604 is configured to correct the plurality of second operation function point location coordinates based on the spatial correction coefficient, and generate a plurality of corrected second operation function point location coordinates. In an embodiment, the sixteenth generating module 2604 may be used to perform the step S1204 described above, which is not described herein.

Referring back to fig. 24, a seventh calculation module 2405 is configured to calculate a second operation distance of the target function group based on the plurality of corrected second operation function point location coordinates and the operation path of the target function group. In an embodiment, the seventh calculating module 2405 may be configured to perform the step S905 described above, which is not described herein.

Fig. 27 schematically shows a block diagram of a seventh calculation module in the interface operation function point location update issuing apparatus according to the embodiment of the present disclosure.

As shown in fig. 27, the seventh calculation module 2405 includes: a sixth acquisition module 2701, a seventeenth generation module 2702, an eleventh calculation module 2703, a twelfth calculation module 2704, a thirteenth calculation module 2705, and a fourteenth calculation module 2706.

A sixth acquisition module 2701 is configured to acquire the coordinates of the focusing point of the page. In an embodiment, the sixth obtaining module 2701 may be used to perform the step S1401 described above, which is not described herein.

A seventeenth generating module 2702, configured to calculate euclidean distances of adjacent second operation function point coordinates in multiple operation paths in the target function group with the focus point coordinates as coordinate starting points, and generate multiple first correlation distances, where the multiple first correlation distances are in one-to-one correspondence with the adjacent second operation function point coordinates in the multiple operation paths in the target function group. In an embodiment, the seventeenth generating module 2702 may be used to perform the step S1402 described above, which is not described herein.

An eleventh calculation module 2703 is configured to calculate a sum of the plurality of first association distances to generate a second association distance. In an embodiment, the eleventh calculating module 2703 may be used to perform the step S1403 described above, which is not described herein.

The twelfth calculation module 2704 is configured to calculate a page skip distance of each pair of adjacent second operation function point coordinates in the operation path in the target function group, and generate a plurality of third association distances. In an embodiment, the twelfth calculation module 2704 may be used to perform step S1404 described above.

Fig. 28 schematically illustrates a block diagram of a twelfth calculation module in the interface operation function point location update issue device according to the embodiment of the present disclosure.

As shown in fig. 28, the twelfth calculation module 2704 includes: a fifteenth calculation module 2801, a sixteenth calculation module 2802, and a seventeenth calculation module 2803.

The fifteenth calculation module 2801 is configured to calculate a page distance coefficient of each pair of adjacent second operation function point coordinates. In an embodiment, the fifteenth computing module 2801 may be used to perform step S1701 described above.

Fig. 29 schematically shows a block diagram of the structure of a fifteenth calculation module in the interface operation function point location update issuing apparatus according to the embodiment of the present disclosure.

As shown in fig. 29, the fifteenth calculation module 2801 includes a seventh acquisition module 2901 and an eighteenth calculation module 2902.

A seventh obtaining module 2901 is configured to obtain a data amount, a network loading speed, and a terminal rendering speed of page loading content of each pair of adjacent second operation function point coordinates. In an embodiment, the seventh obtaining module 2901 may be configured to perform the step S1801 described above, which is not described herein.

An eighteenth calculation module 2902 is configured to calculate a page distance coefficient of each pair of adjacent second operation function point location coordinates based on the data amount of the page loading content, the network loading speed, and the terminal rendering speed. In an embodiment, the eighteenth calculation module 2902 may be used to perform the step S1802 described above, and is not described herein.

Referring back to fig. 28, a sixteenth calculation module 2802 is configured to calculate a sum of a plurality of first association distances corresponding to each pair of adjacent second operation function point coordinates, and generate a plurality of fifth association distances. In an embodiment, the sixteenth calculating module 2802 may be used to perform the step S1702 described above, which is not described herein.

A seventeenth calculating module 2803 is configured to calculate a product of the plurality of fifth association distances and the page distance coefficients of each pair of adjacent second operation function point coordinates, to generate a plurality of third association distances. In an embodiment, the seventeenth calculating module 2803 may be used to perform the step S1703 described above, which is not described herein.

Referring back to fig. 27, a thirteenth calculation module 2705 is configured to calculate a sum of the plurality of third association distances to generate a fourth association distance. In an embodiment, the thirteenth calculation module 2705 may be used to perform the step S1405 described above, which is not described herein.

A fourteenth calculation module 2706 is configured to calculate a sum of the second association distance and the fourth association distance to generate a second operation distance of the target function group. In an embodiment, the fourteenth computing module 2706 may be used to perform the step S1406 described above, which is not described herein.

Referring back to fig. 19, a second calculation module 1908 is configured to calculate a difference between the first operation distance of the target function group and the second operation distance of the target function group, to obtain an reachable distance. In an embodiment, the second calculation module 1908 may be used to perform the step S208 described above, which is not described herein.

A first preset module 1909, configured to preset a threshold value of the reachable distance. In an embodiment, the first preset module 1909 may be used to perform the step S209 described above, which is not described herein.

And a publishing module 1910 configured to update and publish the plurality of second operation function points of the target function group if the reachable distance is less than or equal to the threshold of the reachable distance. In an embodiment, the publishing module 1910 may be configured to perform the step S210 described above, which is not described herein.

According to embodiments of the present disclosure, any of the first acquisition module 1901, the first generation module 1902, the second generation module 1903, the third generation module 1904, the fourth generation module 1905, the fifth generation module 1906, the first calculation module 1907, the second calculation module 1908, the first preset module 1909, and the publication module 1910 may be combined in one module to be implemented, or any of the modules may be split into a plurality of modules. Or at least some of the functionality of one or more of the modules may be combined with, and implemented in, at least some of the functionality of other modules. According to embodiments of the present disclosure, at least one of the first acquisition module 1901, the first generation module 1902, the second generation module 1903, the third generation module 1904, the fourth generation module 1905, the fifth generation module 1906, the first calculation module 1907, the second calculation module 1908, the first preset module 1909, and the publication module 1910 may be implemented, at least in part, as hardware circuitry, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system-on-chip, a system-on-substrate, a system-on-package, an application-specific integrated circuit (ASIC), or in any other reasonable manner of integrating or packaging the circuitry, etc., hardware or firmware, or in any one of or a suitable combination of three of software, hardware, and firmware implementations. Or at least one of the first acquisition module 1901, the first generation module 1902, the second generation module 1903, the third generation module 1904, the fourth generation module 1905, the fifth generation module 1906, the first calculation module 1907, the second calculation module 1908, the first preset module 1909, and the publication module 1910 may be at least partially implemented as a computer program module that, when executed, performs the corresponding functions.

As shown in fig. 30, an electronic device 3000 according to an embodiment of the present disclosure includes a processor 3001 that can execute various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 3002 or a program loaded from a storage portion 3008 into a Random Access Memory (RAM) 3003. The processor 3001 can include, for example, a general purpose microprocessor (e.g., a CPU), an instruction set processor and/or an associated chipset and/or special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), and/or the like. The processor 3001 may also include on-board memory for caching purposes. The processor 3001 may comprise a single processing unit or multiple processing units for performing different actions of the method flows according to embodiments of the disclosure.

In the RAM 3003, various programs and data necessary for the operation of the electronic device 3000 are stored. The processor 3001, the ROM 3002, and the RAM 3003 are connected to each other by a bus 3004. The processor 3001 performs various operations of the method flow according to the embodiments of the present disclosure by executing programs in the ROM 3002 and/or the RAM 3003. Note that the program may be stored in one or more memories other than the ROM 3002 and the RAM 3003. The processor 3001 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in the one or more memories.

According to an embodiment of the disclosure, the electronic device 3000 may also include an input/output (I/O) interface 3005, the input/output (I/O) interface 3005 also being connected to the bus 3004. The electronic device 3000 may also include one or more of the following components connected to the I/O interface 3005: an input portion 3006 including a keyboard, a mouse, and the like; an output portion 3007 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage portion 3008 including a hard disk or the like; and a communication section 3009 including a network interface card such as a LAN card, a modem, or the like. The communication section 3009 performs communication processing via a network such as the internet. The drive 3010 is also connected to the I/O interface 3005 as needed. A removable medium 3011, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like, is installed on the drive 3010 as needed, so that a computer program read out therefrom is installed into the storage section 3008 as needed.

The present disclosure also provides a computer-readable storage medium that may be embodied in the apparatus/device/system described in the above embodiments; or may exist alone without being assembled into the apparatus/device/system. The computer-readable storage medium carries one or more programs which, when executed, implement methods in accordance with embodiments of the present disclosure.

According to embodiments of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium, which may include, for example, but is not limited to: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this disclosure, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. For example, according to embodiments of the present disclosure, the computer-readable storage medium may include ROM 3002 and/or RAM 3003 and/or one or more memories other than ROM 3002 and RAM 3003 described above.

Embodiments of the present disclosure also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowcharts. When the computer program product runs in a computer system, the program code is used for enabling the computer system to realize the interface operation function point position update release method provided by the embodiment of the disclosure.

The above-described functions defined in the system/apparatus of the embodiments of the present disclosure are performed when the computer program is executed by the processor 3001. The systems, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

In one embodiment, the computer program may be based on a tangible storage medium such as an optical storage device, a magnetic storage device, or the like. In another embodiment, the computer program can also be transmitted, distributed over a network medium in the form of signals, and downloaded and installed via the communication portion 3009, and/or installed from the removable medium 3011. The computer program may include program code that may be transmitted using any appropriate network medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

In such an embodiment, the computer program can be downloaded and installed from a network through the communication portion 3009, and/or installed from the removable medium 3011. The above-described functions defined in the system of the embodiments of the present disclosure are performed when the computer program is executed by the processor 3001. The systems, devices, apparatus, modules, units, etc. described above may be implemented by computer program modules according to embodiments of the disclosure.

According to embodiments of the present disclosure, program code for performing computer programs provided by embodiments of the present disclosure may be written in any combination of one or more programming languages, and in particular, such computer programs may be implemented in high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. Programming languages include, but are not limited to, such as Java, c++, python, "C" or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

Those skilled in the art will appreciate that the features recited in the various embodiments of the disclosure and/or in the claims may be provided in a variety of combinations and/or combinations, even if such combinations or combinations are not explicitly recited in the disclosure. In particular, the features recited in the various embodiments of the present disclosure and/or the claims may be variously combined and/or combined without departing from the spirit and teachings of the present disclosure. All such combinations and/or combinations fall within the scope of the present disclosure.

The embodiments of the present disclosure are described above. These examples are for illustrative purposes only and are not intended to limit the scope of the present disclosure. Although the embodiments are described above separately, this does not mean that the measures in the embodiments cannot be used advantageously in combination. The scope of the disclosure is defined by the appended claims and equivalents thereof. Various alternatives and modifications can be made by those skilled in the art without departing from the scope of the disclosure, and such alternatives and modifications are intended to fall within the scope of the disclosure.

Claims

1. The method for updating and publishing the position of the interface operation function point is characterized by comprising the following steps:

acquiring user behavior log data;

2. The method of claim 1, wherein grouping the user behavior log data to generate behavior data for each user to log into a single function group at a single time comprises:

3. The method of claim 1, wherein generating the operating distances for the plurality of functional groups based on the first operating path comprises:

4. The method of claim 1, wherein obtaining the operating distance of the target function group from the operating distances of the plurality of function groups, generating the first operating distance, comprises:

5. The method of claim 4, wherein the preferentially ordering the plurality of functional groups to generate an ordering sequence for the plurality of functional groups comprises:

6. The method of claim 5, wherein calculating the preference metrics for the plurality of functional groups based on the browsing amounts of the plurality of functional groups, the transaction amounts of the plurality of functional groups, the weights for the browsing amounts of the plurality of functional groups, and the weights for the transaction amounts of the plurality of functional groups comprises:

7. The method of any one of claims 1-6, wherein calculating a second operating distance for the target function group based on the plurality of second operating function points comprises:

8. The method of claim 7, wherein the coordinating the human-machine interface to generate a human-machine interface standardized coordinate map comprises:

9. The method of claim 7, wherein the client display data further comprises: the page resolution of the client and the pixel density of the client display calibrate the standardized coordinate map of the man-machine interaction interface to generate a plurality of second operation function point coordinates, including:

10. The method of claim 7, wherein correcting the plurality of second operational function point location coordinates to generate a plurality of corrected second operational function point location coordinates comprises:

Acquiring user interaction behaviors;

11. The method of claim 7, wherein calculating a second operating distance for the target function group based on the plurality of corrected second operating function point location coordinates and the operating path for the target function group comprises:

acquiring the coordinates of a focusing point of the page;

Calculating the sum of the third association distances to generate a fourth association distance; and

12. The method of claim 11, wherein calculating the page jump distance for each pair of adjacent second operational function point coordinates in the operational path in the target function group generates a plurality of third associated distances, comprising:

13. The method of claim 12, wherein calculating the page distance coefficient for each pair of adjacent second operational function point location coordinates comprises:

14. An interface operation function point position update issuing device is characterized in that the device comprises:

the first acquisition module is used for acquiring user behavior log data;

15. An electronic device, comprising:

one or more processors;

Storage means for storing one or more computer programs,

Characterized in that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 13.

16. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, realizes the steps of the method according to any one of claims 1-13.

17. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, realizes the steps of the method according to any one of claims 1-13.