CN110990096A - Method, device and equipment for generating user interface and storage medium - Google Patents
Method, device and equipment for generating user interface and storage medium Download PDFInfo
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- CN110990096A CN110990096A CN201911199044.0A CN201911199044A CN110990096A CN 110990096 A CN110990096 A CN 110990096A CN 201911199044 A CN201911199044 A CN 201911199044A CN 110990096 A CN110990096 A CN 110990096A
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- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
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- G—PHYSICS
- 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
An 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: determining the similarity of any two types of transactions of the same user with respect to the specified dimension based on the historical transaction data of the transaction type set; extracting a similar type subset from the transaction type set according to the similarity; and laying out the transaction type controls under the similar type subset on the same user interface. The embodiment of the specification can improve the operation experience of a 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 a User Interface (UI) of a client such as a self-service terminal, a mobile phone bank, and the like, each control (i.e., an operable component) is manually allocated to different User interfaces. However, in the process of implementing the present application, the inventors of the present application have studied and found that the user interface formed based on the manual assignment control is not friendly, and in some cases, the operation of the user may become complicated, and the operation experience of the user is poor.
Disclosure of Invention
An object of the embodiments of the present specification is to provide a method, an apparatus, a device, and a storage medium for generating a user interface, so as to improve an 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:
determining the similarity of any two types of transactions of the same user with respect to the specified dimension based on the historical transaction data of the transaction type set;
extracting a similar type subset from the transaction type set according to the similarity;
and laying out the transaction type controls under the similar type subset on the same user interface.
The method for generating a user interface according to the embodiment of the present specification further includes:
when the number of the transaction type controls under the similar type subsets exceeds the upper limit of the number of the controls, splitting the transaction type controls under the similar type subsets into a plurality of control groups, and distributing the transaction type controls under the same control group on the same user interface;
wherein the number of transaction type controls under each of the control groups is less than or equal to the control number upper limit.
The method for generating a user interface according to the embodiment of the present specification, where the determining of 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 relative to the specified dimension to form a similarity mean value set;
determining the mean value of the similarity mean values in the similarity mean value set to serve as the similarity mean value of the first transaction class and the second transaction class of the same user relative to the specified dimension;
and sequentially recursing to determine the similarity mean value of any two kinds of transactions of the same user in the transaction type set about the specified dimension.
The method for generating a user interface according to the embodiment of the present specification, wherein 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 of a first transaction class of the user with respect to the specified dimension and one or more second parameter values of a second transaction class thereof with respect to the specified dimension;
carrying out similarity calculation on the first parameter value and the second parameter value to form a similarity set;
determining the mean value of the similarity in the similarity set to be used as the mean value of the similarity of the first transaction class and the second transaction class of the user relative to the specified dimension;
and sequentially recurrently determining the similarity mean value of the first transaction class and the second transaction class of the rest users relative to the specified dimension.
The method for generating a user interface according to the embodiment of the present specification, wherein 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 about the specified dimension.
The method of generating a user interface of an embodiment of the present specification, the specified dimension comprising a transaction time.
In the method for generating a user interface according to the embodiment of the present specification, the splitting the transaction type control under the similar type subset into a plurality of control groups includes:
and splitting the transaction type control 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 about the specified dimension.
In another aspect, an embodiment of the present specification further provides an apparatus for generating a user interface, including:
the determining module is used for determining the similarity of any two kinds of transactions of the same user about the specified dimension based on the historical transaction data of the transaction type set;
the extracting module is used for extracting a similar type subset from the transaction type set according to the similarity;
and the layout module is used for laying the transaction type controls under the similar type subsets on the same user interface.
In the apparatus 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 subsets exceeds the upper limit of the number of the controls, splitting the transaction type controls under the similar type subsets into a plurality of control groups, and distributing the transaction type controls under the same control group on the same user interface;
wherein the number of transaction type controls under each of the control groups is less than or equal to the control number upper limit.
The apparatus for generating a user interface according to the embodiment of the present specification, where the determining of 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 relative to the specified dimension to form a similarity mean value set;
determining the mean value of the similarity mean values in the similarity mean value set to serve as the similarity mean value of the first transaction class and the second transaction class of the same user relative to the specified dimension;
and sequentially recursing to determine the similarity mean value of any two kinds of transactions of the same user in the transaction type set about the specified dimension.
The apparatus for generating a user interface according to an embodiment of the present specification, wherein 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 of a first transaction class of the user with respect to the specified dimension and one or more second parameter values of a second transaction class thereof with respect to the specified dimension;
carrying out similarity calculation on the first parameter value and the second parameter value to form a similarity set;
determining the mean value of the similarity in the similarity set to be used as the mean value of the similarity of the first transaction class and the second transaction class of the user relative to the specified dimension;
and sequentially recurrently determining the similarity mean value of the first transaction class and the second transaction class of the rest users relative to the specified dimension.
The apparatus 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 about the specified dimension.
The apparatus for generating a user interface of an embodiment of the present specification, the specified dimension includes a transaction time.
In the apparatus for generating a user interface according to the embodiment of the present specification, the splitting the transaction type control under the similar type subset into a plurality of control groups includes:
and splitting the transaction type control 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 about the specified dimension.
In another aspect, the present specification further provides 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 above method for generating a user interface.
In another aspect, the present specification further provides a computer storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method for generating a user interface described above.
As can be seen from the technical solutions provided by the embodiments of the present specification, in the embodiments of the present specification, based on 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 may be determined, and the similar type subset is extracted from the transaction type set according to the similarity; and then, the transaction type controls of the similar type subsets are arranged on the same user interface, so that the user operation is facilitated, the complexity of the user for operating the client is reduced, and the operation experience of the user is improved.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort. In the drawings:
FIG. 1 is a flow diagram of a method of generating a user interface in some embodiments of the present description;
FIG. 2 is a diagram illustrating extraction of a subset of similar types in one embodiment of the present disclosure;
FIG. 3 is a diagram illustrating 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 those skilled in the art better understand the technical solutions in the present specification, 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 a part of the embodiments of the present specification, and not all of the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step should fall within the scope of protection of the present specification.
Referring to fig. 1, a method of generating a user interface of some embodiments of the present description may include the steps of:
s101, determining the similarity of any two kinds of transactions of the same user about a specified 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, the transaction type controls under the similar type subsets are laid out on the same user interface.
Therefore, in the embodiment of the 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 similar type subset is extracted from the transaction type set according to the similarity; and then, the transaction type controls of the similar type subsets are arranged on the same user interface, so that the user operation is facilitated, the complexity of the user for operating the client is reduced, and the operation experience of the user is improved.
In this specification embodiment, the set of transaction types may refer to a set formed by all or part of transaction types under a specified transaction system. Therefore, the number of transaction types in the transaction type set can be determined according to application scenarios and specific needs. For example, in an exemplary embodiment of the present specification, the set of transaction types formed for a certain banking transaction system may include: warranty investments, transfers, loans, deposits, insurance, inquiries, funds, account management, scanning, payments, collections, foreign exchange transactions, credit cards, life payments, securities transactions, loss reports, etc. (e.g., as shown in the left-hand portion of fig. 2).
In an embodiment of the present specification, the historical transaction data of the transaction type set is historical transaction data corresponding to each transaction type in the transaction type set. The historical transaction data may include, but is not limited to, information of both parties to the transaction, information of transaction amount, information of transaction time, 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 specification, the specified range may be a time range, such as transaction data of a certain banking transaction system within the last three months, six months or a year. In another exemplary embodiment of the present specification, the designated range may be a designated spatial range, such as historical transaction data of a certain banking transaction system in the range of Jiangsu province, east China or Chinese large land area. In another exemplary embodiment of the present specification, the designated range may be a combination of the designated spatial range and the designated temporal range described above, and the present specification is not limited thereto.
In an embodiment of the present specification, the specified dimension may be one attribute dimension selected 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 amount may be selected as the designated dimension as needed; the present specification is not limited to this, and may specifically select the above-described examples as needed.
In this embodiment of the present specification, 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 respectively, and the designated dimension is 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: the probability of the occurrence of the type-B transaction within a set interval time when the type-A transaction has occurred under the same user; or, the probability that the type A transaction occurs within the set interval time when the type B transaction has occurred under the same user. If the type-B transaction occurs within a set interval time when the type-A transaction has occurred under the same user, the two types of transactions can be considered as similar transactions.
In some embodiments of the present description, the similarity of any two types of transactions of the same user with respect to a specified dimension may be determined in the following manner, so as to improve the accuracy of similarity calculation, specifically as follows:
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 specified dimension to form a similarity mean value set.
3. And calculating the mean value of the similarity mean values in the similarity mean value set to serve as the similarity mean value of the first transaction class and the second transaction class of the same user relative to the specified dimension.
4. And recursion is carried out in sequence, so that the similarity mean value of any two types of transactions of the same user in the transaction type set about the specified dimension can be determined.
In other embodiments of the present specification, the calculating a similarity mean of the first transaction class and the second transaction class of each user with respect to the specified dimension may include:
21. selecting a user from the first transaction class or the second transaction class. The selection may be random or sequential.
22. One or more first parameter values of a first transaction class of the user with respect to the specified dimension and one or more second parameter values of a second transaction class thereof with respect to the specified dimension are determined. For example, in some embodiments of the present specification, taking the transaction time as an example of the specified dimension, the one or more first parameter values of the first transaction class of a certain user with respect to the specified dimension are the transaction time of the first transaction class of the user; one or more second parameter values of a second transaction class of a certain user about the specified dimension are the transaction time 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 specification, taking transaction time as an example of a designated dimension, similarity calculation is performed on the first parameter value and the second parameter value, that is, similarity calculation is performed on transaction time of a first transaction class of a certain user and transaction time of a second transaction class of the user.
It should be understood by those skilled in the art that the above description is only an example of the mean similarity, and in other embodiments of the present description, the mean similarity may be implemented by using a variance of the similarity or a median similarity, if necessary, and the present description does not limit this.
In some exemplary embodiments, the algorithms employed for the similarity calculation may include, for example, but are not limited to, euclidean distance, normalized euclidean distance, manhattan distance, chebyshev distance, minkowski distance, mahalanobis distance, included cosine, hamming distance, jackard distance, or information entropy, 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 transaction time as an example of a specified dimension, the similarity of the first parameter value and the second parameter value may be assigned to a constant value (e.g., 1) when the time interval between the first parameter value and the second parameter value is less than or equal to the specified time interval, and the similarity of the first parameter value and the second parameter value may be assigned to another value (e.g., the inverse of the time interval between the first parameter value and the second parameter value) when the time interval between the first parameter value and the second parameter value is greater than the specified time interval.
24. And determining the average value of the similarity in the similarity set to be used as the similarity average value of the first transaction class and the second transaction class of the user with respect to the specified dimension.
25. And sequentially recurrently determining the similarity mean value of the first transaction class and the second transaction class of the rest users relative to the specified dimension.
Correspondingly, the extracting a similar type subset 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 size of the similarity mean value of any two types of transactions of the same user in the transaction type set about the specified dimension. For example, in the exemplary embodiment shown in fig. 2, under the same user, the average of the similarity of the deposit investment, fund, insurance, precious metal trade, foreign exchange trade and security trade with respect to the trade time is relatively large (e.g., exceeds a certain threshold), and therefore can be extracted from the trade type set as a similar type subset based on the similarity. The similar type subsets can be laid out on the same user interface, such as shown in fig. 3, which is greatly convenient for users.
In other embodiments of the present description, when the number of transaction type controls under the similar type subset exceeds the upper limit of the number of controls, the transaction type controls under the similar type subset may be split into multiple control groups, and the transaction type controls under the same control group may be laid out on the same user interface, so as to avoid that it is difficult to lay out the transaction type controls under the similar type subset on the same user interface when the number of the transaction type controls under the similar type subset exceeds the upper limit of the number of controls. Wherein the number of transaction type controls under each of the control groups is less than or equal to the control number upper limit. 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 of the same user in the similar type subset with respect to a specified dimension.
In some embodiments of the present description, after extracting the subset of similar types, for other transaction types in the transaction type set, 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 the user interface, referring to fig. 4, an apparatus for generating a user interface according to some embodiments of the present specification may include:
a determining module 41, configured to determine similarity of any two types of transactions of the same user with respect to a specified dimension based on historical transaction data of the transaction type set;
an extracting 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 similar type subset on the same user interface.
In other embodiments of the present disclosure, the layout module 43 may further be configured to: when the number of the transaction type controls under the similar type subsets exceeds the upper limit of the number of the controls, splitting the transaction type controls under the similar type subsets into a plurality of control groups, and distributing the transaction type controls under the same control group on the same user interface; wherein the number of transaction type controls under each of the control groups is less than or equal to the control number upper limit.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functions of the various elements may be implemented in the same one or more software and/or hardware implementations of the present description.
In correspondence with the above method for generating a user interface, referring to fig. 5, a client according to some embodiments of the present description may include a memory, a processor, and a computer program stored on the memory, and when the computer program is executed by the processor, the computer program performs the above method for generating a user interface. In some exemplary embodiments, the client is, for example, a self-service terminal (e.g., ATM machine, smart counter, etc.), desktop computer, tablet computer, laptop computer, smart phone, digital assistant, smart wearable device, or the like. Wherein, wearable equipment of intelligence 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 certain entities, and may also be software running in the electronic device.
While the process flows described above include operations that occur in a particular order, it should be appreciated that the processes may include more or less operations that are performed sequentially or in parallel (e.g., using parallel processors 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
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 computer storage media 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 Discs (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
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 an … …" does not exclude the presence of other like elements in a process, method or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, the description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
This 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.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and the similarity can be referred to only part of the description of the method embodiment.
The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and alterations to this description will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification should be included in the scope of the claims of the present specification.
Claims (16)
1. A method of generating a user interface, comprising:
determining the similarity of any two types of transactions of the same user with respect to the specified dimension based on the historical transaction data of the transaction type set;
extracting a similar type subset from the transaction type set according to the similarity;
and laying out the transaction type controls under the similar type subset on the same user interface.
2. The method of generating a user interface of claim 1, further comprising:
when the number of the transaction type controls under the similar type subsets exceeds the upper limit of the number of the controls, splitting the transaction type controls under the similar type subsets into a plurality of control groups, and distributing the transaction type controls under the same control group on the same user interface;
wherein the number of transaction type controls under each of the control groups is less than or equal to the control number upper limit.
3. The method of generating a user interface of claim 1, wherein said determining a similarity of any two types of transactions of 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 relative to the specified dimension to form a similarity mean value set;
determining the mean value of the similarity mean values in the similarity mean value set to serve as the similarity mean value of the first transaction class and the second transaction class of the same user relative to the specified dimension;
and sequentially recursing to determine the similarity mean value of any two kinds of transactions of the same user in the transaction type set about the specified dimension.
4. The method of generating a user interface of claim 3, wherein said determining a mean of similarity of 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 of a first transaction class of the user with respect to the specified dimension and one or more second parameter values of a second transaction class thereof with respect to the specified dimension;
carrying out similarity calculation on the first parameter value and the second parameter value to form a similarity set;
determining the mean value of the similarity in the similarity set to be used as the mean value of the similarity of the first transaction class and the second transaction class of the user relative to the specified dimension;
and sequentially recurrently determining the similarity mean value of the first transaction class and the second transaction class of the rest users relative to the specified dimension.
5. The method of generating a user interface of claim 3, wherein said 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 about the specified 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 said splitting the transaction type controls under the subset of similar types into a plurality of control groups comprises:
and splitting the transaction type control 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 about the specified dimension.
8. An apparatus for generating a user interface, comprising:
the determining module is used for determining the similarity of any two kinds of transactions of the same user about the specified dimension based on the historical transaction data of the transaction type set;
the extracting module is used for extracting a similar type subset from the transaction type set according to the similarity;
and the layout module is used for laying the transaction type controls under the similar type subsets on the same user interface.
9. The apparatus to generate 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 subsets exceeds the upper limit of the number of the controls, splitting the transaction type controls under the similar type subsets into a plurality of control groups, and distributing the transaction type controls under the same control group on the same user interface;
wherein the number of transaction type controls under each of the control groups is less than or equal to the control number upper limit.
10. An apparatus for generating a user interface as defined in claim 8, wherein determining a similarity of any two types of transactions of 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 relative to the specified dimension to form a similarity mean value set;
determining the mean value of the similarity mean values in the similarity mean value set to serve as the similarity mean value of the first transaction class and the second transaction class of the same user relative to the specified dimension;
and sequentially recursing to determine the similarity mean value of any two kinds of transactions of the same user in the transaction type set about the specified dimension.
11. The apparatus for generating a user interface of claim 10, wherein said determining a mean of similarity of 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 of a first transaction class of the user with respect to the specified dimension and one or more second parameter values of a second transaction class thereof with respect to the specified dimension;
carrying out similarity calculation on the first parameter value and the second parameter value to form a similarity set;
determining the mean value of the similarity in the similarity set to be used as the mean value of the similarity of the first transaction class and the second transaction class of the user relative to the specified dimension;
and sequentially recurrently determining the similarity mean value of the first transaction class and the second transaction class of the rest users relative to the specified dimension.
12. The apparatus for generating a user interface of claim 10, 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 about the specified dimension.
13. The apparatus for generating a user interface of claim 8, wherein the specified dimension comprises a transaction time.
14. The apparatus to generate a user interface of claim 9, wherein said splitting the transaction type controls under the subset of similar types into a plurality of control groups comprises:
and splitting the transaction type control 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 about the specified 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 one of claims 1-7.
16. A computer storage medium on which a computer program is stored, the computer program, when being executed by a processor, implementing the method of generating a user interface of any one of claims 1 to 7.
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