CN110990096B - Method, device, equipment and storage medium for generating user interface - Google Patents
Method, device, equipment and storage medium for generating user interface Download PDFInfo
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- CN110990096B CN110990096B CN201911199044.0A CN201911199044A CN110990096B CN 110990096 B CN110990096 B CN 110990096B CN 201911199044 A CN201911199044 A CN 201911199044A CN 110990096 B CN110990096 B CN 110990096B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/451—Execution arrangements for user interfaces
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- G—PHYSICS
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- G06F18/22—Matching criteria, e.g. proximity measures
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
Abstract
The embodiment of the specification provides a method, a device, equipment and a storage medium for generating a user interface, wherein the method comprises the following steps: based on historical transaction data of a transaction type set, determining similarity of any two types of transactions of the same user with respect to a designated dimension; extracting a subset of similar types from the set of transaction types according to the similarity; and arranging the transaction type controls under the similar type subsets on the same user interface. The embodiment of the specification can improve the operation experience of the user.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a method, an apparatus, a device, and a storage medium for generating a user interface.
Background
Currently, on User Interfaces (UI) of clients such as self-service terminals, mobile banking, etc., each control (i.e., an operational component) is manually allocated to a different User Interface. However, in the process of implementing the present application, the inventor of the present application has found that such a user interface formed based on the artificial allocation control is not friendly, and in some cases, may complicate the operation of the user, and the operation experience of the user is poor.
Disclosure of Invention
The embodiment of the specification aims to provide a method, a device, equipment and a storage medium for generating a user interface so as to improve the operation experience of a user.
To achieve the above object, in one aspect, an embodiment of the present specification provides a method for generating a user interface, including:
based on historical transaction data of a transaction type set, determining similarity of any two types of transactions of the same user with respect to a designated dimension;
extracting a subset of similar types from the set of transaction types according to the similarity;
and arranging the transaction type controls under the similar type subsets on the same user interface.
The method for generating the user interface in the embodiment of the specification further comprises the following steps:
when the number of the transaction type controls under the similar type subset exceeds the upper limit of the number of the controls, dividing the transaction type controls under the similar type subset into a plurality of control groups, and arranging the transaction type controls under the same control group on the same user interface;
the number of transaction type controls under each control group is smaller than or equal to the upper limit of the number of controls.
The method for generating the user interface in the embodiment of the present specification, the determining the similarity of any two types of transactions of the same user with respect to a specified dimension includes:
selecting a first transaction class and a second transaction class from the set of transaction types;
determining the similarity mean value of the first transaction class and the second transaction class of each user with respect to the appointed dimension to form a similarity mean value set;
determining the average value of the similarity average values in the similarity average value set to serve as the similarity average value of a first transaction class and a second transaction class of the same user with respect to the appointed dimension;
and sequentially recursively determining the similarity mean value of any two types of transactions of the same user in the transaction type set with respect to the appointed dimension.
The method for generating a user interface according to the embodiment of the present disclosure, the determining a similarity mean of the first transaction class and the second transaction class of each user with respect to the specified dimension includes:
selecting a user from the first transaction class or the second transaction class;
determining one or more first parameter values for a first transaction class of the user with respect to the specified dimension and one or more second parameter values for a second transaction class of the user with respect to the specified dimension;
performing similarity calculation on the first parameter value and the second parameter value to form a similarity set;
determining the average value of the similarity in the similarity set to serve as the average value of the similarity of the first transaction class and the second transaction class of the user with respect to the appointed dimension;
and sequentially recursively determining the similarity mean of the first transaction class and the second transaction class of the rest users with respect to the appointed dimension.
The method for generating a user interface according to the embodiment of the present specification, wherein the extracting a subset of similar types from the transaction type set according to the similarity includes:
and extracting a similar type subset from the transaction type set according to the similarity mean value of any two types of transactions of the same user in the transaction type set with respect to the appointed dimension.
The method of generating a user interface of an embodiment of the present description, the specified dimension includes a transaction time.
The method for generating a user interface according to the embodiment of the present disclosure splits the transaction type controls under the similar type subset into a plurality of control groups, including:
and splitting the transaction type controls under the similar type subset into a plurality of control groups according to the similarity of any two types of transactions of the same user in the similar type subset with respect to the appointed dimension.
In another aspect, an embodiment of the present disclosure further provides an apparatus for generating a user interface, including:
the determining module is used for determining the similarity of any two types of transactions of the same user with respect to the appointed dimension based on the historical transaction data of the transaction type set;
an extraction module for extracting a subset of similar types from the set of transaction types according to the similarity;
and the layout module is used for laying out the transaction type controls under the similar type subsets on the same user interface.
The device for generating a user interface according to the embodiment of the present specification, the layout module is further configured to:
when the number of the transaction type controls under the similar type subset exceeds the upper limit of the number of the controls, dividing the transaction type controls under the similar type subset into a plurality of control groups, and arranging the transaction type controls under the same control group on the same user interface;
the number of transaction type controls under each control group is smaller than or equal to the upper limit of the number of controls.
The device for generating a user interface in the embodiment of the present specification, which determines the similarity of any two types of transactions of the same user with respect to a specified dimension, includes:
selecting a first transaction class and a second transaction class from the set of transaction types;
determining the similarity mean value of the first transaction class and the second transaction class of each user with respect to the appointed dimension to form a similarity mean value set;
determining the average value of the similarity average values in the similarity average value set to serve as the similarity average value of a first transaction class and a second transaction class of the same user with respect to the appointed dimension;
and sequentially recursively determining the similarity mean value of any two types of transactions of the same user in the transaction type set with respect to the appointed dimension.
The apparatus for generating a user interface according to the embodiment of the present disclosure, the determining a similarity mean of a first transaction class and a second transaction class of each user with respect to the specified dimension includes:
selecting a user from the first transaction class or the second transaction class;
determining one or more first parameter values for a first transaction class of the user with respect to the specified dimension and one or more second parameter values for a second transaction class of the user with respect to the specified dimension;
performing similarity calculation on the first parameter value and the second parameter value to form a similarity set;
determining the average value of the similarity in the similarity set to serve as the average value of the similarity of the first transaction class and the second transaction class of the user with respect to the appointed dimension;
and sequentially recursively determining the similarity mean of the first transaction class and the second transaction class of the rest users with respect to the appointed dimension.
The apparatus for generating a user interface according to the embodiments of the present specification, wherein the extracting a subset of similar types from the transaction type set according to the similarity includes:
and extracting a similar type subset from the transaction type set according to the similarity mean value of any two types of transactions of the same user in the transaction type set with respect to the appointed dimension.
The apparatus for generating a user interface of an embodiment of the present description, the specified dimension includes a transaction time.
The apparatus for generating a user interface according to the embodiment of the present disclosure splits a transaction type control under the similar type subset into a plurality of control groups, including:
and splitting the transaction type controls under the similar type subset into a plurality of control groups according to the similarity of any two types of transactions of the same user in the similar type subset with respect to the appointed dimension.
In another aspect, embodiments of the present disclosure further provide a client, including a memory, a processor, and a computer program stored on the memory, where the computer program is executed by the processor to perform the method for generating a user interface described above.
In another aspect, embodiments of the present disclosure further provide a computer storage medium having a computer program stored thereon, the computer program implementing the above-described method of generating a user interface when executed by a processor.
As can be seen from the technical solutions provided in the embodiments of the present disclosure, based on historical transaction data of a transaction type set, a similarity of any two types of transactions of the same user with respect to a specified dimension may be determined, and a subset of similar types may be extracted from the transaction type set according to the similarity; and then, the transaction type controls of the similar type subsets are distributed on the same user interface so as to be convenient for the user to operate, thereby reducing the complexity of the user for operating the client and improving the operation experience of the user.
Drawings
In order to more clearly illustrate the embodiments of the present description or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some of the embodiments described in the present description, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art. In the drawings:
FIG. 1 is a flow chart of a method of generating a user interface in some embodiments of the present description;
FIG. 2 is a schematic diagram of extracting a subset of similar types in an embodiment of the present disclosure;
FIG. 3 is a schematic diagram showing a subset of similar types on the same user interface in one embodiment of the present disclosure;
FIG. 4 is a block diagram of an apparatus for generating a user interface in some embodiments of the present description;
fig. 5 is a block diagram of a computer device in some embodiments of the present description.
Detailed Description
In order to make the technical solutions in the present specification better understood by those skilled in the art, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present specification, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are intended to be within the scope of the present disclosure.
Referring to fig. 1, a method of generating a user interface according to some embodiments of the present description may include the steps of:
s101, determining the similarity of any two types of transactions of the same user with respect to a designated dimension based on historical transaction data of a transaction type set;
s102, extracting a similar type subset from the transaction type set according to the similarity;
s103, arranging the transaction type controls under the similar type subsets on the same user interface.
It can be seen that, in the embodiment of the present specification, based on the historical transaction data of the transaction type set, the similarity of any two types of transactions of the same user with respect to the specified dimension can be determined, and the subset of similar types is extracted from the transaction type set according to the similarity; and then, the transaction type controls of the similar type subsets are distributed on the same user interface so as to be convenient for the user to operate, thereby reducing the complexity of the user for operating the client and improving the operation experience of the user.
In the embodiment of the present specification, the transaction type set may refer to a set formed by specifying all or part of transaction types under a transaction system. Thus, the number of transaction types in the collection of transaction types may be determined based on the application scenario and specific needs. For example, in an exemplary embodiment of the present description, the set of transaction types formed for a banking transaction system may include: warranty investment, transfer, loan, deposit, insurance, inquiry, funds, account management, swipe, payment, collection, foreign exchange transactions, credit cards, life payments, securities transactions, and loss reporting, among others (e.g., shown in the left-hand portion of fig. 2).
In this embodiment of the present disclosure, the historical transaction data of the transaction type set is the historical transaction data corresponding to each transaction type in the transaction type set. Wherein, the historical transaction data can include, but is not limited to, transaction party information, transaction amount information, transaction time information and the like.
In some embodiments of the present description, the historical transaction data may be historical transaction data within a specified range. For example, in an exemplary embodiment of the present description, the specified range may be a specified time range, such as transaction data of a certain banking transaction system in the last three months, six months, or one year. In another exemplary embodiment of the present specification, the specified range may be a specified spatial range, for example, historical transaction data of a certain banking system in Jiangsu province, in eastern China, or in China. In another exemplary embodiment of the present specification, the specified range may be a combination of the specified spatial range and the specified temporal range described above, which is not a limitation of the present specification.
In the present description embodiment, the specified dimension may be a selection of one attribute dimension from a plurality of attribute dimensions of the historical transaction data. For example, in an exemplary embodiment, the specified dimension may be a transaction time. Of course, in other embodiments, other attribute dimensions, such as transaction amounts, may be selected as specified dimensions as desired; the present specification is not limited to this, and may be specifically selected as needed.
In the embodiment of the present disclosure, the similarity of any two types of transactions of the same user with respect to a specified dimension may represent the similarity between each transaction type. Assuming that two types of transactions in the transaction type set are a type-a transaction and a type-B transaction, and the designated dimension is the transaction time, the similarity of the type-a transaction and the type-B transaction of the same user with respect to the designated dimension can be understood as follows: under the same user, when the class A transaction already occurs, the probability of the class B transaction occurs within the set interval time; or, under the same user, when the class B transaction has occurred, the probability of the class A transaction occurring within the set interval time. If a class B transaction occurs within a set interval of time when a class a transaction has occurred under the same user, then the two types of transactions may be considered similar transactions.
In some embodiments of the present disclosure, the following manner may be used to determine the similarity of any two types of transactions of the same user with respect to a specified dimension, so as to improve accuracy of similarity calculation, where the following is specifically described:
1. a first transaction class and a second transaction class are selected from the set of transaction types.
2. And calculating the similarity mean value of the first transaction class and the second transaction class of each user with respect to the appointed dimension to form a similarity mean value set.
3. And calculating the average value of the similarity average values in the similarity average value set to serve as the similarity average value of the first transaction class and the second transaction class of the same user with respect to the appointed dimension.
4. And sequentially recursing so as to determine the similarity mean value of any two types of transactions of the same user in the transaction type set with respect to the appointed dimension.
In other embodiments of the present disclosure, the calculating the average of the similarity of the first transaction class and the second transaction class for each user with respect to the specified dimension may include:
21. a user is selected from the first transaction class or the second transaction class. The selection may be a random selection or a sequential selection.
22. One or more first parameter values for a first transaction class of the user with respect to the specified dimension and one or more second parameter values for a second transaction class of the user with respect to the specified dimension are determined. For example, in some embodiments of the present disclosure, taking the transaction time as an example of a specified dimension, one or more first parameter values of a first transaction class of a user with respect to the specified dimension is the transaction time of the first transaction class of the user; one or more second parameter values of a second transaction class of a user with respect to a specified dimension are transaction times of the second transaction class of the user.
23. And carrying out similarity calculation on the first parameter value and the second parameter value to form a similarity set. For example, in some embodiments of the present disclosure, taking the transaction time as an example of a designated dimension, the similarity calculation is performed on the first parameter value and the second parameter value, that is, the similarity calculation is performed on the transaction time of a first transaction class of a certain user and the transaction time of a second transaction class of the certain user.
It should be understood by those skilled in the art that the foregoing description is only about the average value of the similarity, and in other embodiments of the present disclosure, the similarity variance, the median of the similarity, etc. may be implemented as needed, which is not limited in this disclosure.
In some exemplary embodiments, the algorithm used for the similarity calculation may include, for example, but not limited to, euclidean distance, normalized Euclidean distance, manhattan distance, chebyshev distance, minkowski distance, mahalanobis distance, angle cosine, hamming distance, jacquard distance, or entropy of information, among others.
Of course, in other embodiments, the similarity calculation may be performed on the first parameter value and the second parameter value in other manners. For example, taking the transaction time as an example of a specified dimension, when the time interval between the first parameter value and the second parameter value is less than or equal to the specified time interval, the similarity between the first parameter value and the second parameter value may be assigned a constant value (e.g., 1), and when the time interval between the first parameter value and the second parameter value is greater than the specified time interval, the similarity between the first parameter value and the second parameter value may be assigned another value (e.g., the reciprocal of the time interval between the first parameter value and the second parameter value).
24. And determining the average value of the similarity in the similarity set as the average value of the similarity of the first transaction class and the second transaction class of the user with respect to the designated dimension.
25. And sequentially recursively determining the similarity mean of the first transaction class and the second transaction class of the rest users with respect to the appointed dimension.
Accordingly, the extracting the subset of similar types from the transaction type set according to the similarity may be: and extracting a similar type subset from the transaction type set according to the average value of the similarity of any two types of transactions of the same user in the transaction type set with respect to the appointed dimension. For example, in the exemplary embodiment shown in FIG. 2, the average of similarity between the two-by-two relative to transaction time is relatively large (e.g., both exceed a certain threshold) in warranty investments, funds, insurance, precious metal transactions, foreign exchange transactions, and securities transactions under the same user, and thus can be extracted from the collection of transaction types as a subset of similar types based thereon. The subset of similar types may then be laid out on the same user interface, such as that shown in fig. 3, greatly facilitating the user.
In other embodiments of the present disclosure, when the number of transaction type controls under the subset of similar types exceeds the upper limit of the number of controls, the transaction type controls under the subset of similar types may be split into multiple control groups, and the transaction type controls under the same control group are laid out on the same user interface, so as to avoid that when the number of transaction type controls under the subset of similar types exceeds the upper limit of the number of controls, it is difficult to lay out the transaction type controls under the subset of similar types on the same user interface. The number of transaction type controls under each control group is smaller than or equal to the upper limit of the number of controls. In some exemplary embodiments, the transaction type controls under the similar type subset may be split into multiple control groups according to the similarity of any two types of transactions for the same user in the similar type subset with respect to a specified dimension.
In some embodiments of the present disclosure, after the subset of similar types is extracted, for other transaction types in the set of transaction types, the transaction types may be reasonably localized on one or more user interfaces according to factors such as transaction frequency and/or transaction amount of each transaction.
Corresponding to the method for generating a user interface described above, referring to fig. 4, an apparatus for generating a user interface according to some embodiments of the present disclosure may include:
a determining module 41, configured to determine, based on historical transaction data of the transaction type set, a similarity of any two types of transactions of the same user with respect to a specified dimension;
an extraction module 42 operable to extract a subset of similar types from the set of transaction types based on the similarity;
a layout module 43 may be used to layout the transaction type controls under the subset of similar types on the same user interface.
In other embodiments of the present disclosure, the layout module 43 may also be configured to: when the number of the transaction type controls under the similar type subset exceeds the upper limit of the number of the controls, dividing the transaction type controls under the similar type subset into a plurality of control groups, and arranging the transaction type controls under the same control group on the same user interface; the number of transaction type controls under each control group is smaller than or equal to the upper limit of the number of controls.
For convenience of description, the above devices are described as being functionally divided into various units, respectively. Of course, the functions of each element may be implemented in one or more software and/or hardware elements when implemented in the present specification.
In correspondence with the method of generating a user interface described above, referring to fig. 5, the client of some embodiments of the present description may include a memory, a processor, and a computer program stored on the memory, which when executed by the processor performs the method of generating a user interface described above. In some exemplary embodiments, the client is, for example, a self-service terminal (e.g., ATM, smart counter, etc.), desktop computer, tablet computer, notebook computer, smart phone, digital assistant, smart wearable device, etc. Wherein, intelligent wearable equipment can include intelligent bracelet, intelligent wrist-watch, intelligent glasses, intelligent helmet etc.. Of course, in other embodiments, the client is not limited to the electronic device with a certain entity, and may be software running in the electronic device.
While the process flows described above include a plurality of operations occurring in a particular order, it should be apparent that the processes may include more or fewer operations, which may be performed sequentially or in parallel (e.g., using a parallel processor or a multi-threaded environment).
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, 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, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method or apparatus comprising such elements.
It will be appreciated by those skilled in the art that embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the present specification may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present description can take the form of a computer program product on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.
The description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, controls, data structures, etc. that perform particular tasks or implement particular abstract data types. The specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments. In particular, for system embodiments, the description is relatively simple as it is substantially similar to method embodiments, with reference to the section of the method embodiments.
The foregoing is merely exemplary of the present disclosure and is not intended to limit the disclosure. Various modifications and alterations to this specification will become apparent to those skilled in the art. Any modifications, equivalent substitutions, improvements, or the like, which are within the spirit and principles of the present description, are intended to be included within the scope of the claims of the present description.
Claims (16)
1. A method of generating a user interface, comprising:
based on historical transaction data of a transaction type set, determining similarity of any two types of transactions of the same user with respect to a designated dimension;
extracting a subset of similar types from the set of transaction types according to the similarity;
and arranging the transaction type controls under the similar type subsets on the same user interface.
2. A method of generating a user interface as recited in claim 1, further comprising:
when the number of the transaction type controls under the similar type subset exceeds the upper limit of the number of the controls, dividing the transaction type controls under the similar type subset into a plurality of control groups, and arranging the transaction type controls under the same control group on the same user interface;
the number of transaction type controls under each control group is smaller than or equal to the upper limit of the number of controls.
3. The method of generating a user interface of claim 1, wherein determining the similarity of any two types of transactions for the same user with respect to a specified dimension comprises:
selecting a first transaction class and a second transaction class from the set of transaction types;
determining the similarity mean value of the first transaction class and the second transaction class of each user with respect to the appointed dimension to form a similarity mean value set;
determining the average value of the similarity average values in the similarity average value set to serve as the similarity average value of a first transaction class and a second transaction class of the same user with respect to the appointed dimension;
and sequentially recursively determining the similarity mean value of any two types of transactions of the same user in the transaction type set with respect to the appointed dimension.
4. A method of generating a user interface as recited in claim 3, wherein the determining a similarity mean for the first transaction class and the second transaction class for each user with respect to the specified dimension comprises:
selecting a user from the first transaction class or the second transaction class;
determining one or more first parameter values for a first transaction class of the user with respect to the specified dimension and one or more second parameter values for a second transaction class of the user with respect to the specified dimension;
performing similarity calculation on the first parameter value and the second parameter value to form a similarity set;
determining the average value of the similarity in the similarity set to serve as the average value of the similarity of the first transaction class and the second transaction class of the user with respect to the appointed dimension;
and sequentially recursively determining the similarity mean of the first transaction class and the second transaction class of the rest users with respect to the appointed dimension.
5. A method of generating a user interface as recited in claim 3 wherein said extracting a subset of similar types from said set of transaction types based on said similarity comprises:
and extracting a similar type subset from the transaction type set according to the similarity mean value of any two types of transactions of the same user in the transaction type set with respect to the appointed dimension.
6. The method of generating a user interface of claim 1, wherein the specified dimension comprises a transaction time.
7. The method of generating a user interface of claim 2, wherein splitting the transaction type controls under the subset of similar types into a plurality of control groups comprises:
and splitting the transaction type controls under the similar type subset into a plurality of control groups according to the similarity of any two types of transactions of the same user in the similar type subset with respect to the appointed dimension.
8. An apparatus for generating a user interface, comprising:
the determining module is used for determining the similarity of any two types of transactions of the same user with respect to the appointed dimension based on the historical transaction data of the transaction type set;
an extraction module for extracting a subset of similar types from the set of transaction types according to the similarity;
and the layout module is used for laying out the transaction type controls under the similar type subsets on the same user interface.
9. The apparatus for generating a user interface of claim 8, wherein the layout module is further to:
when the number of the transaction type controls under the similar type subset exceeds the upper limit of the number of the controls, dividing the transaction type controls under the similar type subset into a plurality of control groups, and arranging the transaction type controls under the same control group on the same user interface;
the number of transaction type controls under each control group is smaller than or equal to the upper limit of the number of controls.
10. The apparatus for generating a user interface of claim 8, wherein the determining the similarity of any two types of transactions for the same user with respect to a specified dimension comprises:
selecting a first transaction class and a second transaction class from the set of transaction types;
determining the similarity mean value of the first transaction class and the second transaction class of each user with respect to the appointed dimension to form a similarity mean value set;
determining the average value of the similarity average values in the similarity average value set to serve as the similarity average value of a first transaction class and a second transaction class of the same user with respect to the appointed dimension;
and sequentially recursively determining the similarity mean value of any two types of transactions of the same user in the transaction type set with respect to the appointed dimension.
11. The apparatus for generating a user interface of claim 10, wherein the determining a similarity mean for the first transaction class and the second transaction class for each user with respect to the specified dimension comprises:
selecting a user from the first transaction class or the second transaction class;
determining one or more first parameter values for a first transaction class of the user with respect to the specified dimension and one or more second parameter values for a second transaction class of the user with respect to the specified dimension;
performing similarity calculation on the first parameter value and the second parameter value to form a similarity set;
determining the average value of the similarity in the similarity set to serve as the average value of the similarity of the first transaction class and the second transaction class of the user with respect to the appointed dimension;
and sequentially recursively determining the similarity mean of the first transaction class and the second transaction class of the rest users with respect to the appointed dimension.
12. The apparatus for generating a user interface of claim 10, wherein the extracting a subset of similar types from the set of transaction types based on the similarity comprises:
and extracting a similar type subset from the transaction type set according to the similarity mean value of any two types of transactions of the same user in the transaction type set with respect to the appointed dimension.
13. An apparatus for generating a user interface as recited in claim 8, wherein the specified dimension comprises a transaction time.
14. The apparatus for generating a user interface of claim 9, wherein the splitting the transaction type controls under the subset of similar types into a plurality of control groups comprises:
and splitting the transaction type controls under the similar type subset into a plurality of control groups according to the similarity of any two types of transactions of the same user in the similar type subset with respect to the appointed dimension.
15. A client comprising a memory, a processor, and a computer program stored on the memory, wherein the computer program when executed by the processor performs the method of generating a user interface of any of claims 1-7.
16. A computer storage medium having stored thereon a computer program, which when executed by a processor implements the method of generating a user interface of any of claims 1-7.
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