CN112084242A - Consumption information display method, device, terminal and medium - Google Patents

Consumption information display method, device, terminal and medium Download PDF

Info

Publication number
CN112084242A
CN112084242A CN202010910141.2A CN202010910141A CN112084242A CN 112084242 A CN112084242 A CN 112084242A CN 202010910141 A CN202010910141 A CN 202010910141A CN 112084242 A CN112084242 A CN 112084242A
Authority
CN
China
Prior art keywords
information
user
consumption
bill
consumption information
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010910141.2A
Other languages
Chinese (zh)
Inventor
卓民
杨楠
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shenzhen Mingshu Information Co Ltd
Original Assignee
Shenzhen Mingshu Information Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shenzhen Mingshu Information Co Ltd filed Critical Shenzhen Mingshu Information Co Ltd
Priority to CN202010910141.2A priority Critical patent/CN112084242A/en
Publication of CN112084242A publication Critical patent/CN112084242A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2457Query processing with adaptation to user needs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2462Approximate or statistical queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0202Market predictions or forecasting for commercial activities

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Business, Economics & Management (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Computational Linguistics (AREA)
  • Development Economics (AREA)
  • Accounting & Taxation (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Probability & Statistics with Applications (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the invention discloses a method, a device, a terminal and a medium for displaying consumption information. The method comprises the following steps: acquiring bill information and basic user information of a target user; generating a combined text according to the bill information and the basic user information; inputting the merged text into a classification model trained in advance to predict a user label of a target user; acquiring average consumption information corresponding to the bill information according to the user tag; and displaying the consumption information of the target user according to the average consumption information, the bill information and the basic user information. Classifying different users through user tags, and acquiring average consumption information of each consumption classification of the same tag user according to bill information to display; the problem that no reference exists when the user sets the consumption budget or performs consumption checking in the current accounting software is solved, the user can check the consumption average values of the users belonging to the same label in different consumption types in a bill, and the user can find and correct bad consumption habits.

Description

Consumption information display method, device, terminal and medium
Technical Field
The embodiment of the invention relates to an electronic commerce technology, in particular to a method, a device, a terminal and a medium for displaying consumption information.
Background
Along with the continuous development of internet technology, the electron account book has obtained the rapid development, and people are more and more used to use the account keeping APP to keep accounts.
The functions of the billing software are more and more, the classification of the billing content is more and more detailed, and people can quickly bill and view historical bills according to the bill types.
The current accounting software only displays the bill based on the historical consumption bill of the user, and no reference is provided when the user sets the consumption budget or performs the consumption inventory, which is not beneficial to the user to find and correct the bad consumption habit.
Disclosure of Invention
The invention provides a consumption information display method, a consumption information display device, a consumption information display terminal and a consumption information display medium, which are used for displaying average consumption information of a same label user on different consumption types when a user checks bills through accounting software.
In a first aspect, an embodiment of the present invention provides a method for displaying consumption information, including:
acquiring bill information and basic user information of a target user;
generating a combined text according to the bill information and the basic user information;
inputting the merged text into a classification model trained in advance to predict the user label of the target user;
acquiring average consumption information corresponding to the bill information according to the user tag;
and displaying the consumption information of the target user according to the average consumption information, the bill information and the basic user information.
Optionally, after the displaying the consumption information of the target user according to the average consumption information, the billing information, and the basic user information, the method further includes:
and setting the consumption budget according to the average consumption information.
Optionally, the basic user information includes a user ID, a gender, and an age.
Optionally, the billing information includes a user ID, a billing type, a billing amount, a transaction time, a transaction remark, and a transaction location.
Optionally, before the inputting the merged text into the pre-trained classification model to predict the user label of the target user, the method further includes:
generating various user tags according to the basic user information and the bill information of the historical records, and storing the user tags;
splicing each piece of bill information and the basic user information to generate a merged text as training input data, and using the user label as training output data;
and training a classification model by using the merged text and the corresponding user label to obtain the trained classification model.
Optionally, after generating the plurality of user tags according to the basic user information and the billing information, the method further includes:
acquiring the bill information of the user corresponding to the same user tag;
and calculating to obtain average consumption information of the users corresponding to the same user label on the same bill type, and storing.
In a second aspect, an embodiment of the present invention further provides a device for displaying consumption information, including:
the data acquisition module is used for acquiring bill information and basic user information of a target user;
the data processing module is used for generating a combined text according to the bill information and the basic user information;
the label prediction module is used for inputting the merged text into a classification model trained in advance to predict the user label of the target user;
the consumption information acquisition module is used for acquiring average consumption information corresponding to the bill information according to the user tag;
and the consumption information display module is used for displaying the consumption information of the target user according to the average consumption information, the bill information and the basic user information.
In a third aspect, an embodiment of the present invention further provides a display terminal for consuming information, where the display terminal for consuming information includes:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the method of presenting consumption information as set forth in any one of the first aspects.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for presenting consumption information according to any one of the first aspect.
According to the embodiment of the invention, different users are classified through the user tags, and meanwhile, the average consumption information of the same tag user corresponding to the bill information of the target user is obtained according to the user tags and displayed; the problem that the bill display content of the current billing software is less, and no reference is provided when a user sets a consumption budget or performs consumption checking is solved, the user can check the consumption average values of users belonging to the same crowd in different consumption types in the bill, and the effect that the user finds and corrects the bad consumption habit of the user is facilitated.
Drawings
Fig. 1 is a schematic flowchart illustrating a method for displaying consumption information according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for displaying consumption information according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a consumption information display apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a display terminal for consuming information according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a schematic flow chart of a method for displaying consumption information according to an embodiment of the present invention, where the present embodiment is applicable to a situation where a user displays consumption information of the user when the user views a bill through billing software, and the method may be executed by a device for displaying consumption information, as shown in fig. 1, and specifically includes the following steps:
and step 110, acquiring the bill information and the basic user information of the target user.
The target user is a user who uses the accounting software currently, and the billing information is consumption information manually input by the user and/or consumption information read from other software through user operation.
Optionally, the basic user information includes a user ID, a gender, and an age, and the basic user information is stored in a user basic information database. The user ID is automatically generated when the user registers the accounting software account, and is the unique identification information of the user, and the gender and age of the user are automatically filled when the user registers the accounting software account.
Optionally, the billing information includes the user ID, the billing type, the billing amount, the transaction time, the transaction remark and the transaction location, and the billing information is stored in a billing database. The bill type is a consumption classification classified by default in the system or a consumption classification set by the user, for example, the bill type includes: the online shopping and offline consumption are divided into multiple types, such as child care, old age care, housing, clothes, transportation, medical treatment, vegetable buying, entertainment, snacks, interpersonal communication and the like; the bill amount, the transaction time and the transaction remarks are manually input by a user and/or read from other payment software through user operation, the transaction remarks are key words for generating the bill, the transaction remarks of a plurality of bills corresponding to one bill type can be different, so that the consumption types are further distinguished, for example, the user purchases milk tea of one cup of X tea and costs 30 yuan, and the generated transaction remarks are 'milk tea of X tea'; the transaction place can obtain the position of the user when generating the bill through the positioning function of the equipment; the user can synchronize to the accounting software by setting the software authority when each consumption occurs.
When the bill information of the target user is acquired, the bill information of the user can be matched in all bill data according to the user ID in the basic user information.
And step 120, generating a combined text according to the bill information and the basic user information.
And inserting the basic user information of the target user into each piece of bill information, and integrating to generate a combined text for subsequent processing.
And step 130, inputting the merged text into a classification model trained in advance to predict the user label of the target user.
Inputting each generated combined text into a pre-trained classification model, namely predicting the user label of a target user, wherein the user labels predicted by each combined text can be the same or different; when the target user has multiple pieces of billing information, the target user may have multiple user tags.
Optionally, the user tag includes: at least one of white collar, blue collar, daddy, Baoma, pet, vehicle, fitness daoren and online shopping daoren. The user tag is used for distinguishing the identifiers of a plurality of users with the same consumption habits and trends, and the user tag content can be divided by default for the system or can be set by the users.
The classification model is a text classification model, and may be one of FastText, TextCNN, TextRNN, BERT, and the like.
And 140, obtaining average consumption information corresponding to the bill information according to the user tag.
Acquiring all user consumption information data with the same user label as the target user in a database according to the obtained user label; and obtaining average consumption information of all users of the same user tag on the specified consumption type according to each piece of bill information. For example, the user tag of the target user is "vehicle family", wherein one piece of billing information is "refuel in city a on day 8, month 20 in 2020, and the cost is 100 yuan", and then the monthly average consumption of the vehicle family in city a on refuel can be obtained as C yuan according to the piece of billing information.
And 150, displaying the consumption information of the target user according to the average consumption information, the bill information and the basic user information.
And splicing the average consumption information, the bill information and the basic user information to form new bill information, wherein in order to keep the page concise and clear, partial basic user information can be hidden, other information except the average consumption value of the average consumption information is hidden, the bill information and the average consumption information are spliced in sequence to form bill display information, and the bill display information is displayed on a billing software page of a target user one by one. Illustratively, the bill type is refuel, the bill amount is 100 yuan, the transaction time is 8 months and 20 days in 2020, the transaction remark is B district in A market, and the average consumption is C yuan. Clicking on the bill information can display the hidden basic user information and the average consumption information details.
Furthermore, the target user can reasonably plan the consumption expenditure according to the displayed bill information, and when the average consumption of a certain type of consumption is higher than that of the same tag user, the target user should reasonably reduce the consumption; when a certain type of consumption is significantly lower than the average consumption of the same tag user is more, the target user is reminded that the consumption is lower, which may be increased appropriately. The users with the same user label have greater similarity in income, consumption type, consumption amount and consumption habit, and have greater reference significance.
According to the embodiment of the invention, different users are classified through the user tags, and meanwhile, the average consumption information of the same tag user corresponding to the bill information of the target user is obtained according to the user tags and displayed; the problem that the bill display content of the current billing software is less, and no reference is provided when a user sets a consumption budget or performs consumption checking is solved, the user can check the consumption average values of users belonging to the same crowd in different consumption types in the bill, and the effect that the user finds and corrects the bad consumption habit of the user is facilitated.
Example two
Fig. 2 is a flowchart illustrating a method for displaying consumption information according to a second embodiment of the present invention. On the basis of the above embodiment, before processing the data of the target user and performing consumption display, the classification model needs to be trained. As shown in fig. 2, the specific steps include:
step 201, generating a plurality of user tags according to the basic user information and the bill information of the history record, and storing the user tags.
The method comprises the steps of obtaining basic user information and bill information of historical records stored in a database, and combining the basic user information and the bill information to generate a plurality of user tags related to family conditions, consumption preferences and the like. For example, if the gender in the basic user information is male, the age is 35 years, and the billing information has more refueled billing information, it can be found that the user has a label of "having car family", and meanwhile, the billing information has various consumption information, for example, the billing information further includes consumption information of purchasing baby clothes, purchasing baby food, and purchasing scenic spot tickets, and it can also be found that the user has labels of "dad", "tourism fan", and the like. And storing the generated label and the basic user information of the corresponding user in a correlated manner.
When certain type of consumption in the bill information of the user reaches a preset condition, if the preset condition is that the consumption times reach a preset value within a set time, the consumption amount reaches a preset value and the like, the user is calibrated with a corresponding user label, accidental consumption cannot be calibrated with a certain user label, and the user is only summarized into a group corresponding to a plurality of user labels which are most prominent per se; the accuracy of the user label is guaranteed.
Step 202, splicing each piece of bill information and basic user information to generate a merged text as training input data, and using a user label as training output data.
And the combined text generated by splicing each piece of bill information and the basic user information can correspond to the user label, the generated combined text is used as an input data sample, and the user label is used as an output data sample to obtain a training sample.
And step 203, training the classification model by using the combined text and the corresponding user label to obtain the trained classification model.
And training the classification model by using the merged text and the corresponding user label, performing parameter adjustment according to the performance of the classification model on the test set in the training process, determining the optimal parameter configuration, and realizing the classification model with high recognition rate.
Step 204 and step 205 are further included after the various user tags are generated and stored in step 201 based on the basic user information and billing information.
And step 204, obtaining the bill information of the user corresponding to the same user label.
And acquiring the user ID information of all users with the same user tag in a user basic information database, and acquiring all bills of the user ID information in a bill database according to the user ID information.
And step 205, calculating and obtaining average consumption information of the users corresponding to the same user label on the same bill type, and storing the average consumption information.
In all bills of users with the same user tag, dividing according to the bill types in the bill information, and respectively calculating average consumption information of all users on the same bill type, wherein the average consumption of the users on entertainment in the white collar in A is D yuan; further, the consumption type can be further divided according to the transaction remarks in the bill information, so as to obtain more detailed average consumption information of the user, for example, the average monthly consumption of the white-collar movie watching in the city a is D1 yuan; further, the average consumption may be average annual consumption, average monthly consumption, and average weekly consumption, and the present embodiment preferably is average monthly consumption, which can better correspond to the monthly income of the user to perform consumption planning. And storing the calculated average consumption information into a database.
And step 206, acquiring the bill information and the basic user information of the target user.
And step 207, generating a combined text according to the bill information and the basic user information.
And step 208, inputting the merged text into a classification model trained in advance to predict the user label of the target user.
And step 209, obtaining average consumption information corresponding to the bill information according to the user tag.
And step 210, displaying the consumption information of the target user according to the average consumption information, the bill information and the basic user information.
And step 211, setting the consumption budget according to the average consumption information.
The target user can manually set the consumption budget according to the average consumption information, and further, when the target user sets the consumption budget, the system can give a suggested budget threshold value according to the average consumption for the target user to quickly set; and setting budget according to average consumption of the same user label crowd to be more suitable for the consumption capacity of the target user. After the consumption budget is set, when the bill information is displayed, the consumption budget and the residual budget limit of the target user can be displayed, so that the user can reasonably consume the bill.
EXAMPLE III
The consumption information display device provided by the third embodiment of the invention can execute the consumption information display method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Fig. 3 is a schematic structural diagram of a consumption information display apparatus according to a third embodiment of the present invention, and as shown in fig. 3, the consumption information display apparatus includes:
and a data obtaining module 310, configured to obtain billing information and basic user information of the target user.
And the data processing module 320 is used for generating a combined text according to the bill information and the basic user information.
And the label prediction module 330 is configured to input the merged text into a pre-trained classification model to predict the user label of the target user.
And the consumption information obtaining module 340 is configured to obtain average consumption information corresponding to the bill information according to the user tag.
And the consumption information display module 350 is configured to display the consumption information of the target user according to the average consumption information, the billing information and the basic user information.
According to the embodiment of the invention, different users are classified through the user tags, and meanwhile, the average consumption information of the same tag user corresponding to the bill information of the target user is obtained according to the user tags and displayed; the problem that the bill display content of the current billing software is less, and no reference is provided when a user sets a consumption budget or performs consumption checking is solved, the user can check the consumption average values of users belonging to the same crowd in different consumption types in the bill, and the effect that the user finds and corrects the bad consumption habit of the user is facilitated.
On the basis of the above embodiment, optionally, the display apparatus of consumption information further includes a budget setting module (not shown) for performing consumption budget setting according to the average consumption information.
Optionally, the display device for consumption information further includes a model training module, and the model training module includes:
the label generating unit is used for generating and storing various user labels by the user according to the basic user information and the bill information of the historical record;
the training sample acquisition unit is used for splicing each piece of bill information with the basic user information to generate a merged text as training input data, and taking the user label as training output data;
and the training unit is used for training the classification model by using the combined text and the corresponding user label to obtain the trained classification model.
The user label generated by the label generating unit comprises at least one of a white collar, a blue collar, a daddy, a mom, a pet, a car, a fitness daddy and an online shopping daddy.
Optionally, the device for displaying consumption information further includes an average consumption calculating module, where the average consumption calculating module includes:
the bill information acquisition unit is used for acquiring bill information of the user corresponding to the same user tag;
and the calculating unit is used for calculating and obtaining the average consumption information of the users corresponding to the same user label on the same bill type and storing the average consumption information.
Optionally, the data obtaining module includes:
a basic user information obtaining unit for obtaining basic user information of a user, wherein the basic user information includes a user ID, a gender and an age;
and the bill information acquisition unit acquires the bill information of the user, wherein the bill information comprises the user ID, the bill type, the bill amount, the transaction time, the transaction remark and the transaction place.
Example four
Fig. 4 is a schematic structural diagram of a terminal for displaying consumption information according to a fourth embodiment of the present invention, as shown in fig. 4, the terminal includes a processor 40, a memory 41, an input device 42, and an output device 43; the number of the processors 40 in the terminal may be one or more, and one processor 40 is taken as an example in fig. 4; the processor 40, the memory 41, the input device 42 and the output device 43 in the terminal may be connected by a bus or other means, as exemplified by the bus connection in fig. 4.
The memory 41 is a computer-readable storage medium, and can be used for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to the presentation method of the consumption information in the embodiment of the present invention (for example, the data acquisition module 310, the data processing module 320, the tag prediction module 330, the consumption information acquisition module 340, and the consumption information presentation module 350 in the presentation apparatus of the consumption information). The processor 40 executes various functional applications and data processing of the terminal by running software programs, instructions and modules stored in the memory 41, that is, implements the above-described method for presenting consumption information.
The memory 41 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 41 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, memory 41 may further include memory located remotely from processor 40, which may be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The input device 42 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the terminal. The output device 43 may include a display device such as a display screen.
EXAMPLE five
An embodiment of the present invention further provides a storage medium containing computer-executable instructions, where the computer-executable instructions are executed by a computer processor to perform a method for displaying consumption information, and the method includes:
acquiring bill information and basic user information of a target user;
generating a combined text according to the bill information and the basic user information;
inputting the merged text into a classification model trained in advance to predict a user label of a target user;
acquiring average consumption information corresponding to the bill information according to the user tag;
and displaying the consumption information of the target user according to the average consumption information, the bill information and the basic user information.
Of course, the storage medium provided by the embodiment of the present invention contains computer-executable instructions, and the computer-executable instructions are not limited to the method operations described above, and may also perform related operations in the presentation of the consumption information provided by any embodiment of the present invention.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the above search apparatus, each included unit and module are merely divided according to functional logic, but are not limited to the above division as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims (10)

1. A method for displaying consumption information, comprising:
acquiring bill information and basic user information of a target user;
generating a combined text according to the bill information and the basic user information;
inputting the merged text into a classification model trained in advance to predict the user label of the target user;
acquiring average consumption information corresponding to the bill information according to the user tag;
and displaying the consumption information of the target user according to the average consumption information, the bill information and the basic user information.
2. The consumption information presentation method according to claim 1, further comprising, after the presenting the consumption information of the target user according to the average consumption information, the billing information, and the basic user information:
and setting the consumption budget according to the average consumption information.
3. The method for displaying consumption information of claim 1, wherein the basic user information includes a user ID, a gender and an age.
4. The method for displaying consumption information of claim 1, wherein the billing information comprises a user ID, a billing type, a billing amount, a transaction time, a transaction remark and a transaction location.
5. The method for displaying consumption information according to claim 1, wherein before the inputting the merged text into the pre-trained classification model to predict the user label of the target user, the method further comprises:
generating various user tags according to the basic user information and the bill information of the historical records, and storing the user tags;
splicing each piece of bill information and the basic user information to generate a merged text as training input data, and using the user label as training output data;
and training a classification model by using the merged text and the corresponding user label to obtain the trained classification model.
6. The method for displaying consumption information of claim 5, wherein after generating the plurality of user tags according to the basic user information and the billing information, the method further comprises:
acquiring the bill information of the user corresponding to the same user tag;
and calculating to obtain average consumption information of the users corresponding to the same user label on the same bill type, and storing.
7. The method for displaying consumption information of claim 5, wherein the user tag comprises at least one of a white collar, a blue collar, a dad, a mom, a pet, a car, a fitness dare, and a shopping dare.
8. A device for displaying consumer information, comprising:
the data acquisition module is used for acquiring bill information and basic user information of a target user;
the data processing module is used for generating a combined text according to the bill information and the basic user information;
the label prediction module is used for inputting the merged text into a classification model trained in advance to predict the user label of the target user;
the consumption information acquisition module is used for acquiring average consumption information corresponding to the bill information according to the user tag;
and the consumption information display module is used for displaying the consumption information of the target user according to the average consumption information, the bill information and the basic user information.
9. A terminal for displaying consumption information, the terminal comprising:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement a method of presenting consumption information as recited in any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a method of presenting consumption information according to any one of claims 1-7.
CN202010910141.2A 2020-09-02 2020-09-02 Consumption information display method, device, terminal and medium Pending CN112084242A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010910141.2A CN112084242A (en) 2020-09-02 2020-09-02 Consumption information display method, device, terminal and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010910141.2A CN112084242A (en) 2020-09-02 2020-09-02 Consumption information display method, device, terminal and medium

Publications (1)

Publication Number Publication Date
CN112084242A true CN112084242A (en) 2020-12-15

Family

ID=73732466

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010910141.2A Pending CN112084242A (en) 2020-09-02 2020-09-02 Consumption information display method, device, terminal and medium

Country Status (1)

Country Link
CN (1) CN112084242A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112507134A (en) * 2020-12-16 2021-03-16 深圳市卡牛科技有限公司 Method, system, device and storage medium for generating map based on accounting data
CN112561530A (en) * 2020-12-25 2021-03-26 民生科技有限责任公司 Transaction flow processing method and system based on multi-model fusion
CN113051612A (en) * 2021-03-15 2021-06-29 深圳市腾讯网域计算机网络有限公司 Consumption account classification method and device, computer equipment and storage medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109146474A (en) * 2018-07-18 2019-01-04 阿里巴巴集团控股有限公司 A kind of payment limit method for customizing and device
CN110363439A (en) * 2019-07-19 2019-10-22 山东浪潮人工智能研究院有限公司 A kind of credit-graded approach based on consumer demographics' portrait
CN110503453A (en) * 2019-07-05 2019-11-26 平安银行股份有限公司 Customer-action analysis method, apparatus, computer equipment and storage medium

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109146474A (en) * 2018-07-18 2019-01-04 阿里巴巴集团控股有限公司 A kind of payment limit method for customizing and device
CN110503453A (en) * 2019-07-05 2019-11-26 平安银行股份有限公司 Customer-action analysis method, apparatus, computer equipment and storage medium
CN110363439A (en) * 2019-07-19 2019-10-22 山东浪潮人工智能研究院有限公司 A kind of credit-graded approach based on consumer demographics' portrait

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112507134A (en) * 2020-12-16 2021-03-16 深圳市卡牛科技有限公司 Method, system, device and storage medium for generating map based on accounting data
CN112561530A (en) * 2020-12-25 2021-03-26 民生科技有限责任公司 Transaction flow processing method and system based on multi-model fusion
CN113051612A (en) * 2021-03-15 2021-06-29 深圳市腾讯网域计算机网络有限公司 Consumption account classification method and device, computer equipment and storage medium
CN113051612B (en) * 2021-03-15 2023-10-27 深圳市腾讯网域计算机网络有限公司 Consumer account classification method, apparatus, computer device and storage medium

Similar Documents

Publication Publication Date Title
CN108154401B (en) User portrait depicting method, device, medium and computing equipment
US10861077B1 (en) Machine, process, and manufacture for machine learning based cross category item recommendations
CN109783730A (en) Products Show method, apparatus, computer equipment and storage medium
WO2020001106A1 (en) Classification model training method and store classification method and device
CN112084242A (en) Consumption information display method, device, terminal and medium
CN109542916A (en) Platform commodity enter method, apparatus, computer equipment and storage medium
CN111784455A (en) Article recommendation method and recommendation equipment
CN105512331A (en) Video recommending method and device
CN108205768A (en) Database building method and data recommendation method and device, equipment and storage medium
US11138655B2 (en) Auction information processing device and auction information processing method
CN109816134B (en) Method and device for predicting delivery address and storage medium
CN109064265A (en) Purchase vehicle recommended method and system based on the network platform
CN111737418B (en) Method, apparatus and storage medium for predicting relevance of search term and commodity
CN108777701A (en) A kind of method and device of determining receiver
US20190370716A1 (en) Intelligent diversification tool
CN103714063A (en) Data analysis method and data analysis system
CN109582859B (en) Insurance pushing method and device, computer equipment and storage medium
WO2022151923A1 (en) Method and apparatus for processing paperwork for goods, electronic device, medium, and program
US20210158398A1 (en) User data segmentation augmented with public event streams for facilitating customization of online content
US8321473B2 (en) Object customization and management system
CN110363206B (en) Clustering of data objects, data processing and data identification method
CN110866178B (en) Data processing method, device and machine-readable medium
CN106383857A (en) Information processing method and electronic equipment
CN113327132A (en) Multimedia recommendation method, device, equipment and storage medium
CN111373395A (en) Artificial intelligence system and method based on hierarchical clustering

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination