CN116109445A - Data processing method, device, electronic equipment and computer readable medium - Google Patents
Data processing method, device, electronic equipment and computer readable medium Download PDFInfo
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Abstract
The application discloses a data processing method, a device, electronic equipment and a computer readable medium, and relates to the technical field of big data processing, and one specific embodiment comprises the steps of receiving a data processing request, acquiring a corresponding object identifier, a corresponding theme identifier and a corresponding service scene identifier, and further acquiring a corresponding legend set according to the object identifier and the theme identifier; acquiring a corresponding user portrait set according to the service scene identifier, determining the weight of each legend in the legend set according to the user portrait set, and determining the priority of each legend in the legend set according to the weight; and acquiring attribute information of each legend, generating data display information based on the priority, the attribute information and each legend, and outputting the data display information. The personalized, clear and visual display of the data is realized.
Description
Technical Field
The present disclosure relates to the field of big data processing technologies, and in particular, to a data processing method, a device, an electronic apparatus, and a computer readable medium.
Background
At present, in the field of house and land industry, building table data display or management is required for each independent building. And displaying different colors according to the house registration business state, marking whether each set of house can be sold, recorded, mortgage and the like on a building table display interface, more intuitively finding the house state, and effectively controlling and suppressing the phenomena of one house with multiple sales, repeated mortgage, check and seal sales and the like. The house simultaneously has a plurality of service states, different user groups or service scenes have different requirements on house state display, and house state data display is chaotic and not intuitive.
Disclosure of Invention
In view of this, the embodiments of the present application provide a data processing method, apparatus, electronic device, and computer readable medium, which can solve the problem that the existing house status data is displayed more chaotic and not intuitive.
To achieve the above object, according to one aspect of the embodiments of the present application, there is provided a data processing method, including:
receiving a data processing request, acquiring a corresponding object identifier, a corresponding theme identifier and a corresponding service scene identifier, and further acquiring a corresponding legend set according to the object identifier and the corresponding theme identifier;
acquiring a corresponding user image set according to the service scene identifier, determining the weight of each legend in the legend set according to the user image set, and determining the priority of each legend in the legend set according to the weight;
and acquiring attribute information of each legend, generating data display information based on the priority, the attribute information and each legend, and outputting the data display information.
Optionally, determining weights of the respective legends in the set of legends from the set of user images includes:
determining the occurrence times of the features in the user image set, which are matched with the legends in the legend set;
and determining the weight of each legend in the legend set according to the times.
Optionally, obtaining attribute information of each legend includes:
candidate display color and size range information for each legend is obtained.
Optionally, generating the data presentation information includes:
determining the size of each legend according to the priority and the size range information;
determining the display colors corresponding to the legends according to the priorities and the candidate display colors;
based on the size and the display color, data display information corresponding to each legend is generated.
Optionally, generating the data presentation information includes:
acquiring object state information corresponding to an object identifier;
and generating data display information according to the priority, the attribute information, the legends and the object state information.
Optionally, generating the data presentation information includes:
responding to the acquired newly added legend information, and associating corresponding business states with the corresponding newly added legends;
determining the priority of a new added figure corresponding to the new added figure;
and generating data presentation information based on the newly added legends, the service state, the newly added legend priority, the attribute information and the legends.
Optionally, generating the data presentation information includes:
determining the legend with the highest priority in the legends as a target legend;
and generating data display information based on the target legend and the attribute information corresponding to the target legend.
In addition, the application also provides a data processing device, which comprises:
the receiving unit is configured to receive the data processing request, acquire the corresponding object identifier, the topic identifier and the service scene identifier, and further acquire a corresponding legend set according to the object identifier and the topic identifier;
the priority determining unit is configured to acquire a corresponding user image set according to the service scene identifier, further determine the weight of each legend in the legend set according to the user image set, and further determine the priority of each legend in the legend set according to the weight;
and the data display information generating unit is configured to acquire the attribute information of each legend, and further generate and output the data display information based on the priority, the attribute information and each legend.
Optionally, the priority determining unit is further configured to:
determining the occurrence times of the features in the user image set, which are matched with the legends in the legend set;
and determining the weight of each legend in the legend set according to the times.
Optionally, the data presentation information generation unit is further configured to:
candidate display color and size range information for each legend is obtained.
Optionally, the data presentation information generation unit is further configured to:
determining the size of each legend according to the priority and the size range information;
determining the display colors corresponding to the legends according to the priorities and the candidate display colors;
based on the size and the display color, data display information corresponding to each legend is generated.
Optionally, the data presentation information generation unit is further configured to:
acquiring object state information corresponding to an object identifier;
and generating data display information according to the priority, the attribute information, the legends and the object state information.
Optionally, the data presentation information generation unit is further configured to:
responding to the acquired newly added legend information, and associating corresponding business states with the corresponding newly added legends;
determining the priority of a new added figure corresponding to the new added figure;
and generating data presentation information based on the newly added legends, the service state, the newly added legend priority, the attribute information and the legends.
Optionally, the data presentation information generation unit is further configured to:
determining the legend with the highest priority in the legends as a target legend;
and generating data display information based on the target legend and the attribute information corresponding to the target legend.
In addition, the application also provides data processing electronic equipment, which comprises: one or more processors; and a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the data processing method as described above.
In addition, the application also provides a computer readable medium, on which a computer program is stored, which when executed by a processor implements a data processing method as described above.
To achieve the above object, according to yet another aspect of the embodiments of the present application, a computer program product is provided.
A computer program product of an embodiment of the present application includes a computer program, which when executed by a processor implements a data processing method provided by the embodiment of the present application.
One embodiment of the above invention has the following advantages or benefits: the method comprises the steps of obtaining corresponding object identifiers, topic identifiers and service scene identifiers by receiving a data processing request, and further obtaining corresponding legend sets according to the object identifiers and the topic identifiers; acquiring a corresponding user image set according to the service scene identifier, determining the weight of each legend in the legend set according to the user image set, and determining the priority of each legend in the legend set according to the weight; and acquiring attribute information of each legend, generating data display information based on the priority, the attribute information and each legend, and outputting the data display information. The personalized, clear and visual display of the data is realized.
Further effects of the above-described non-conventional alternatives are described below in connection with the embodiments.
Drawings
The drawings are included to provide a better understanding of the present application and are not to be construed as unduly limiting the present application. Wherein:
FIG. 1 is a schematic diagram of the main flow of a data processing method according to one embodiment of the present application;
FIG. 2 is a schematic diagram of the main flow of a data processing method according to one embodiment of the present application;
FIG. 3 is a schematic diagram of the main flow of a data processing method according to one embodiment of the present application;
FIG. 4 is a schematic flow diagram of a data processing method according to one embodiment of the present application;
FIG. 5 is a schematic diagram of the main units of a data processing apparatus according to an embodiment of the present application;
FIG. 6 is an exemplary system architecture diagram in which embodiments of the present application may be applied;
fig. 7 is a schematic diagram of a computer system suitable for use in implementing the terminal device or server of the embodiments of the present application.
Detailed Description
Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness. In the technical scheme of the application, the aspects of acquisition, analysis, use, transmission, storage and the like of the related user personal information all meet the requirements of related laws and regulations, are used for legal and reasonable purposes, are not shared, leaked or sold outside the aspects of legal use and the like, and are subjected to supervision and management of a supervision department. Necessary measures should be taken for the personal information of the user to prevent illegal access to such personal information data, ensure that personnel having access to the personal information data comply with the regulations of the relevant laws and regulations, and ensure the personal information of the user. Once these user personal information data are no longer needed, the risk should be minimized by limiting or even prohibiting the data collection and/or deletion.
User privacy is protected by de-identifying data when used, including in some related applications, such as by removing a particular identifier, controlling the amount or specificity of stored data, controlling how data is stored, and/or other methods.
FIG. 1 is a schematic diagram of the main flow of a data processing method according to an embodiment of the present application, as shown in FIG. 1, the data processing method includes:
step S101, receiving a data processing request, obtaining a corresponding object identifier, a corresponding theme identifier and a corresponding service scene identifier, and further obtaining a corresponding legend set according to the object identifier and the corresponding theme identifier.
In this embodiment, the execution body (for example, may be a server) of the data processing method may receive the data processing request by means of a wired connection or a wireless connection. The data processing request may be, for example, a request for data presentation for each individual building. After receiving the data processing request, the executing body can acquire a corresponding object identifier, such as the number of the building for target analysis or the name of the house for each target analysis of the target building; topic identification, such as topic name, may also be obtained; the service scene identifier can also be obtained, for example, the sales building name of a real estate developer or the public side display building name, etc., and the embodiment of the application does not specifically limit the service scene identifier.
After the execution main body obtains the object identifications and the theme identifications, the execution main body can obtain a corresponding legend set according to the building state corresponding to each object identification and according to the theme names, the theme weights, the theme colors and the house states contained in the theme corresponding to the theme identifications.
Step S102, according to the service scene identification, a corresponding user image set is obtained, then the weight of each legend in the legend set is determined according to the user image set, and then the priority of each legend in the legend set is determined according to the weight.
The execution body can screen the legends to be displayed in the legend set according to the service scene identification, and determine the priority of each legend to be displayed according to the configuration data or the ordering data input by the user.
In some embodiments, the execution body may further obtain legend configuration information corresponding to the service scene identifier, determine weights configured by the respective legends according to the legend configuration information, and determine priorities of the respective legends in the legend set based on a principle that priorities corresponding to the weights are higher.
Specifically, the legend configuration information may be obtained from a link carried by a data processing request triggered by a user, or may also obtain a sequence string carried in the data processing request, for example, G-R1-R2-R3-P-Y-G (respectively representing a green legend, a red legend, a dark pink legend, a light pink legend, a purple legend, a yellow legend, and a gray legend with decreasing priorities), determine weights of the respective legends in the legend set according to the sequence string (for example, the higher the front weight in the sequence string is, the higher the priority of the respective legends in the legend set is) and further determine the priorities of the respective legends in the legend set according to the determined weights. The form and content of the sequence strings are not particularly limited in the embodiments of the present application.
Step S103, obtaining attribute information of each legend, and further generating and outputting data display information based on the priority, the attribute information and each legend.
Specifically, obtaining attribute information of each legend includes:
candidate display color and size range information for each legend is obtained.
Candidate display colors may be, for example, red, dark pink, green, light pink, purple, yellow, gray, etc., where red may represent documented, dark pink may represent checked-in, green may represent saleable, light pink may represent underwriting, purple may represent contracted, yellow may represent non-saleable, gray may represent non-sales range. The size range information may be the area information of the actual occupied land of the house or building corresponding to each legend.
Specifically, generating data presentation information includes: acquiring object state information corresponding to an object identifier; and generating data display information according to the priority, the attribute information, the legends and the object state information.
The object identification may be, for example, a name or number of the target building or the target house. The embodiment of the application does not specifically limit the object identifier. The object state information may be, for example, state information of a target building or a target house. The executing body may acquire status information of the target building or the target house, and may include, for example, a saleable status, a recorded status, a signed status, an in-sign status, an unpildable status, a non-sales range status, and the like.
The legend with the top N (e.g., 3, 4, 5, etc.) priorities is combined with the corresponding object identifiers and attribute information (e.g., color and size information) to generate data presentation information, e.g., the sales status of the 6-floor building 702 of building a is saleable, and the floor space is 104 square meters as represented by the green illustration. In the case that the sales state of the 12-floor building 1201 of building a is a subscription, the execution subject with a floor area of 103.8 square meters is represented by a purple legend, and the data display information can be displayed on a page browsed by a user for the user to view.
Specifically, generating data presentation information includes: responding to the acquired newly added legend information, and associating corresponding business states with the corresponding newly added legends; determining the priority of a new added figure corresponding to the new added figure; and generating data presentation information based on the newly added legends, the service state, the newly added legend priority, the attribute information and the legends.
The attribute information includes information of color, size, and the like. The business state may include a saleable state, a recorded state, a signed state, a purchased state, an in-sign state, a non-saleable state, a non-sales range state, and the like.
The service state associated with the newly added legend can be a contracted state and a destroyed state, priority configuration information input by a user is obtained, and then the priority corresponding to the newly added legend is determined according to the priority configuration information input by the user, for example, the priority of the newly added legend is between the priority corresponding to the newly added legend and the non-marketable legend, and then the newly added legend is added to a display page according to the priority of the newly added legend, and data display information such as colors, actual occupation size information and the like corresponding to each legend after the newly added legend is displayed on the display page.
As another implementation manner of the embodiment of the present application, generating data presentation information includes: determining the legend with the highest priority in the legends as a target legend; and generating data display information based on the target legend and the attribute information corresponding to the target legend.
That is, only the legend with the highest priority and attribute information such as the color and the floor area value of the legend with the highest priority are displayed.
According to the embodiment, a data processing request is received to obtain a corresponding object identifier, a corresponding theme identifier and a corresponding service scene identifier, and further a corresponding legend set is obtained according to the object identifier and the corresponding theme identifier; acquiring a corresponding user image set according to the service scene identifier, determining the weight of each legend in the legend set according to the user image set, and determining the priority of each legend in the legend set according to the weight; and acquiring attribute information of each legend, generating data display information based on the priority, the attribute information and each legend, and outputting the data display information. The personalized, clear and visual display of the data is realized.
FIG. 2 is a schematic flow chart of a data processing method according to an embodiment of the present application, as shown in FIG. 2, the data processing method includes:
step S201, receiving a data processing request, obtaining a corresponding object identifier, a corresponding theme identifier and a corresponding service scene identifier, and further obtaining a corresponding legend set according to the object identifier and the corresponding theme identifier.
The data processing request may be, for example, a request for data presentation for each individual building. After receiving the data processing request, the executing body can acquire a corresponding object identifier, such as the number of the building for target analysis or the name of the house for each target analysis of the target building; topic identification, such as topic name, may also be obtained; the service scene identifier can also be obtained, for example, the sales building name of a real estate developer or the public side display building name, etc., and the embodiment of the application does not specifically limit the service scene identifier.
Step S202, according to the service scene identification, a corresponding user image set is obtained, and then the number of times of occurrence of the features matched with each legend in the legend set in the user image set is determined.
The user portrait set can be a set of portraits corresponding to users who transact the business scene corresponding to the business scene identifier, and the user portrait set can analyze and obtain a legend favored by the historical users. Specifically, the similarity between the portrait features of each user portrait in the user portrait set and each legend can be analyzed based on the dimensions corresponding to each legend in the legend set, when the similarity is larger than a preset threshold, the matching between the corresponding user portrait and the corresponding legend in the legend set is determined, the matching is recorded as +1 times, and when the matching is not performed +0 times, and the like, until the number of times of occurrence of each portrait feature corresponding to each user portrait in the user portrait set is obtained after each user portrait in the user portrait set is matched with each legend in the legend set.
Step S203, the weight of each legend in the legend set is determined according to the times.
The times are progressively ordered, the higher the ranking the greater the corresponding weight. Based on this, the execution body may perform decremental assignments on the number of times that is decremented and the sum of the assignments may be 1. For example, the number of times is 1, 2, 3, and 4, and the corresponding assignment may be 0.1, 0.2, 0.3, and 0.4, which is not specifically limited in the embodiment of the present application.
Step S204, determining the priority of each legend in the legend set according to the weight.
The greater the weight, the higher the corresponding priority. The execution subject can pre-define the corresponding relation between the weight and the priority, and then determine the priority of each legend corresponding to the weight of each legend in the legend set according to the self-defined corresponding relation.
Step S205, obtaining attribute information of each legend, and further generating and outputting data display information based on the priority, the attribute information and each legend.
The attribute information includes information such as color and size range. By matching the priority and attribute information to each legend respectively, and then generating data display information according to the matched legends, the data display information is used for displaying information such as sequencing order, color, size (displayed in a labeling mode) and the like of the legends. The personalized, clear and visual display of the data is realized.
FIG. 3 is a schematic flow chart of a data processing method according to an embodiment of the present application, and as shown in FIG. 3, the data processing method includes:
step S301, a data processing request is received, corresponding object identifiers, topic identifiers and service scene identifiers are obtained, and corresponding legend sets are obtained according to the object identifiers and the topic identifiers.
Step S302, according to the service scene identification, a corresponding user image set is obtained, and then the number of times of occurrence of the characteristics matched with each legend in the legend set in the user image set is determined.
Specifically, the portrait features corresponding to all user portraits in the user portrait set can be converted into first vectors based on a word embedding mode, attribute data of all legends in the legend set are converted into second vectors based on the word embedding mode, and the similarity between each first vector and each second vector is calculated to match all legends in the user portrait set and the legend set.
Step S303, determining the weight of each legend in the legend set according to the times.
Step S304, determining the priority of each legend in the legend set according to the weight.
Specifically, a weight range may be set to correspond to one priority, or of course, a weight may also correspond to one priority.
Step S305, candidate display color and size range information of each legend is acquired.
Step S306, determining the size of each legend according to the priority and the size range information.
Specifically, the execution body may set the legend display size higher in priority to be larger, that is, while the size range information is marked near the legend, the display size of the legend with the highest priority is set to be larger than the display sizes of the legends with other priorities.
Step S307, according to the priority and the candidate display colors, determining the display colors corresponding to the legends.
Specifically, the execution body may set the legend with higher priority to display darker color, that is, to set the display color of the legend with highest priority to be darker than the display color of the legends with other priorities, and in particular, the embodiment of the application does not specifically limit the display color difference, so that the key reminding function of the legend with highest priority can be played, and the user can notice the legend with highest priority preferentially.
Step S308, based on the size and the display color, generating data display information corresponding to each legend.
The legend with the highest priority is set to be larger in size and darker in color than the legends with other priorities, so that the legends with the highest priority attract the important attention of users, and the effect of strong reminding is mentioned.
Fig. 4 is a schematic flow chart of a data processing method according to an embodiment of the present application. The data processing method of the embodiment of the application can be applied to the scene of data display of each independent building. As shown in fig. 4, after receiving the data processing request of the service system, the executing entity may acquire current service building data from the public platform, sales plan, building table system, … of the service system to acquire the theme configuration information: including topic name, topic weight, topic color, and house status. Acquiring service call configuration information according to the topic number: the business logic processing program is called to inquire the business association legend and process the status data of the building according to the business type, and the personalized building display information is returned to the business system.
An overall embodiment of the present application is described as follows:
based on the configured unified building status display, the rule configuration process is divided into two parts, wherein the first part is a theme management stage, and the second part is a call management stage. The theme management phase process comprises the following steps: newly added theme configuration-newly added show legend-set legend parameters-associate house status. The call management flow comprises the following steps: newly added service call configuration-associated theme-select service legend.
Specifically, the subject legend configuration is described as follows:
1) At the building management end, newly-added legend theme configuration settings, such as theme legend 1, theme legend 2 and the like;
2) Newly adding a legend to be displayed, such as a newly added house sellable legend, wherein the legend name is "sellable", selecting a proper legend color block, setting the display priority of the legend, and associating the house 'sellable' state;
3) Newly adding other showing legends, such as a "mortgage" legend in legend configuration 1, and associating the house business states of "mortgage in construction project" and "mortgage in house; in the legend configuration 2, a "mortgage under construction" legend and a "mortgage in house" legend are created separately, associating "mortgage under construction state" and "mortgage in house state", respectively.
4) And so on, finally, a plurality of presentation legends and a plurality of theme configurations are newly added.
The call management configuration is described as follows:
1) At the building management end, a building service calling configuration item is newly added;
2) According to the requirements of the service scene, selecting legend items to be displayed, for example: the legends of "saleable", "mortgage in construction project", "mortgage in house now" and the like are selected for the sales floor business scenario of the real estate developer, and the legends of "saleable", "mortgage" and the like are displayed for the public.
3) And so on, save or modify a plurality of service invocation configuration information.
By way of example, the floor status display process is described as follows:
when a service system requests building display data, a building data management end inquires the building under building and all service states, acquires call configuration content associated with the service according to the current service type, and further acquires information such as theme configuration associated with the call configuration; and finally, returning the legend name, legend display color and other information with the highest current house priority to the service caller. The building status differentiation display can be realized based on the configuration. According to the requirements of the service scenes, the house states displayed in each service scene can be independently controlled by adopting a rule configuration mode under the condition of keeping the lowest data storage space, and the method has the advantage of flexibility and expandability.
Fig. 5 is a schematic diagram of main units of a data processing apparatus according to an embodiment of the present application. As shown in fig. 5, the data processing apparatus 500 includes a receiving unit 501, a priority determining unit 502, and a data presentation information generating unit 503.
The receiving unit 501 is configured to receive a data processing request, obtain a corresponding object identifier, a topic identifier, and a service scene identifier, and further obtain a corresponding legend set according to the object identifier and the topic identifier.
The priority determining unit 502 is configured to obtain a corresponding user image set according to the service scene identifier, further determine weights of the legends in the legend set according to the user image set, and further determine priorities of the legends in the legend set according to the weights.
The data presentation information generating unit 503 is configured to acquire attribute information of each legend, and further generate and output data presentation information based on the priority, the attribute information, and each legend.
In some embodiments, the priority determination unit 502 is further configured to: determining the occurrence times of the features in the user image set, which are matched with the legends in the legend set; and determining the weight of each legend in the legend set according to the times.
In some embodiments, the data presentation information generation unit 503 is further configured to: candidate display color and size range information for each legend is obtained.
In some embodiments, the data presentation information generation unit 503 is further configured to: determining the size of each legend according to the priority and the size range information; determining the display colors corresponding to the legends according to the priorities and the candidate display colors; based on the size and the display color, data display information corresponding to each legend is generated.
In some embodiments, the data presentation information generation unit 503 is further configured to: acquiring object state information corresponding to an object identifier; and generating data display information according to the priority, the attribute information, the legends and the object state information.
In some embodiments, the data presentation information generation unit 503 is further configured to: responding to the acquired newly added legend information, and associating corresponding business states with the corresponding newly added legends; determining the priority of a new added figure corresponding to the new added figure; and generating data presentation information based on the newly added legends, the service state, the newly added legend priority, the attribute information and the legends.
In some embodiments, the data presentation information generation unit 503 is further configured to: determining the legend with the highest priority in the legends as a target legend; and generating data display information based on the target legend and the attribute information corresponding to the target legend.
Note that the data processing method and the data processing apparatus of the present application have a corresponding relationship in terms of implementation contents, and therefore, the description is not repeated.
Fig. 6 illustrates an exemplary system architecture 600 in which the data processing methods or data processing apparatus of embodiments of the present application may be applied.
As shown in fig. 6, the system architecture 600 may include terminal devices 601, 602, 603, a network 604, and a server 605. The network 604 is used as a medium to provide communication links between the terminal devices 601, 602, 603 and the server 605. The network 604 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.
A user may interact with the server 605 via the network 604 using the terminal devices 601, 602, 603 to receive or send messages, etc. Various communication client applications such as shopping class applications, web browser applications, search class applications, instant messaging tools, mailbox clients, social platform software, etc. (by way of example only) may be installed on the terminal devices 601, 602, 603.
The terminal devices 601, 602, 603 may be various electronic devices having a data processing screen and supporting web browsing, including but not limited to smartphones, tablets, laptop and desktop computers, and the like.
The server 605 may be a server providing various services, such as a background management server (by way of example only) providing support for data processing requests submitted by users using the terminal devices 601, 602, 603. The background management server can receive the data processing request, acquire the corresponding object identifier, the topic identifier and the service scene identifier, and further acquire a corresponding legend set according to the object identifier and the topic identifier; acquiring a corresponding user image set according to the service scene identifier, determining the weight of each legend in the legend set according to the user image set, and determining the priority of each legend in the legend set according to the weight; and acquiring attribute information of each legend, generating data display information based on the priority, the attribute information and each legend, and outputting the data display information. The personalized, clear and visual display of the data is realized.
It should be noted that, the data processing method provided in the embodiment of the present application is generally executed by the server 605, and accordingly, the data processing apparatus is generally disposed in the server 605.
It should be understood that the number of terminal devices, networks and servers in fig. 6 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation.
Referring now to fig. 7, there is illustrated a schematic diagram of a computer system 700 suitable for use in implementing the terminal device of an embodiment of the present application. The terminal device shown in fig. 7 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 7, the computer system 700 includes a Central Processing Unit (CPU) 701, which can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 702 or a program loaded from a storage section 708 into a Random Access Memory (RAM) 703. In the RAM703, various programs and data required for the operation of the computer system 700 are also stored. The CPU701, ROM702, and RAM703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
The following components are connected to the I/O interface 705: an input section 706 including a keyboard, a mouse, and the like; an output section 707 including a Cathode Ray Tube (CRT), a liquid crystal credit authorization query processor (LCD), and the like, and a speaker, and the like; a storage section 708 including a hard disk or the like; and a communication section 709 including a network interface card such as a LAN card, a modem, or the like. The communication section 709 performs communication processing via a network such as the internet. The drive 710 is also connected to the I/O interface 705 as needed. A removable medium 711 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 710 as necessary, so that a computer program read therefrom is mounted into the storage section 708 as necessary.
In particular, according to embodiments of the present disclosure, the processes described above with reference to flowcharts may be implemented as computer software programs. For example, embodiments disclosed herein include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method shown in the flowcharts. In such an embodiment, the computer program may be downloaded and installed from a network via the communication portion 709, and/or installed from the removable medium 711. The above-described functions defined in the system of the present application are performed when the computer program is executed by a Central Processing Unit (CPU) 701.
It should be noted that the computer readable medium shown in the present application may be a computer readable signal medium or a computer readable storage medium, or any combination of the two. The computer readable storage medium may include, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples of the computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In the present application, however, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, with computer-readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units involved in the embodiments of the present application may be implemented by software, or may be implemented by hardware. The described units may also be provided in a processor, for example, described as: a processor includes a receiving unit, a priority determining unit, and a data presentation information generating unit. Wherein the names of the units do not constitute a limitation of the units themselves in some cases.
As another aspect, the present application also provides a computer-readable medium that may be contained in the apparatus described in the above embodiments; or may be present alone without being fitted into the device. The computer readable medium carries one or more programs, and when the one or more programs are executed by the device, the device receives a data processing request, obtains a corresponding object identifier, a corresponding theme identifier and a corresponding service scene identifier, and further obtains a corresponding legend set according to the object identifier and the theme identifier; acquiring a corresponding user image set according to the service scene identifier, determining the weight of each legend in the legend set according to the user image set, and determining the priority of each legend in the legend set according to the weight; and acquiring attribute information of each legend, generating data display information based on the priority, the attribute information and each legend, and outputting the data display information.
The computer program product of the present application comprises a computer program which, when executed by a processor, implements the data processing method in the embodiments of the present application.
According to the technical scheme of the embodiment of the application, personalized, clear and visual data display can be realized.
The above embodiments do not limit the scope of the application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives can occur depending upon design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application are intended to be included within the scope of the present application.
Claims (16)
1. A method of data processing, comprising:
receiving a data processing request, acquiring a corresponding object identifier, a theme identifier and a service scene identifier, and further acquiring a corresponding legend set according to the object identifier and the theme identifier;
acquiring a corresponding user portrait set according to the service scene identifier, determining the weight of each legend in the legend set according to the user portrait set, and determining the priority of each legend in the legend set according to the weight;
and acquiring attribute information of each legend, and further generating and outputting data display information based on the priority, the attribute information and each legend.
2. The method of claim 1, wherein said determining weights for each legend in said set of legends from said set of user representations comprises:
determining the number of times of occurrence of features in the user portrait set that match each legend in the legend set;
and determining the weight of each legend in the legend set according to the times.
3. The method of claim 1, wherein the obtaining attribute information for each legend comprises:
and acquiring candidate display color and size range information of each legend.
4. A method according to claim 3, wherein said generating data presentation information comprises:
determining the size of each legend according to the priority and the size range information;
determining display colors corresponding to the legends according to the priorities and the candidate display colors;
and generating data display information corresponding to each legend based on the size and the display color.
5. The method of claim 1, wherein generating the data presentation information comprises:
acquiring object state information corresponding to the object identifier;
and generating data display information according to the priority, the attribute information, the legends and the object state information.
6. The method of claim 1, wherein generating the data presentation information comprises:
responding to the acquired newly added legend information, and associating corresponding business states with the corresponding newly added legends;
determining a new added legend priority corresponding to the new added legend;
generating data presentation information based on the newly added legend, the service status, the newly added legend priority, the attribute information and the respective legends.
7. The method of claim 1, wherein generating the data presentation information comprises:
determining the legend with the highest priority in the legends as a target legend;
and generating data display information based on the target legend and the attribute information corresponding to the target legend.
8. A data processing apparatus, comprising:
the receiving unit is configured to receive a data processing request, acquire a corresponding object identifier, a corresponding theme identifier and a corresponding service scene identifier, and further acquire a corresponding legend set according to the object identifier and the corresponding theme identifier;
the priority determining unit is configured to acquire a corresponding user image set according to the service scene identifier, further determine the weight of each legend in the legend set according to the user image set, and further determine the priority of each legend in the legend set according to the weight;
and the data display information generating unit is configured to acquire the attribute information of each legend, and further generate and output data display information based on the priority, the attribute information and each legend.
9. The apparatus of claim 8, wherein the priority determination unit is further configured to:
determining the number of times of occurrence of features in the user portrait set that match each legend in the legend set;
and determining the weight of each legend in the legend set according to the times.
10. The apparatus of claim 8, wherein the data presentation information generation unit is further configured to:
and acquiring candidate display color and size range information of each legend.
11. The apparatus according to claim 10, wherein the data presentation information generation unit is further configured to:
determining the size of each legend according to the priority and the size range information;
determining display colors corresponding to the legends according to the priorities and the candidate display colors;
and generating data display information corresponding to each legend based on the size and the display color.
12. The apparatus of claim 8, wherein the data presentation information generation unit is further configured to:
acquiring object state information corresponding to the object identifier;
and generating data display information according to the priority, the attribute information, the legends and the object state information.
13. The apparatus of claim 8, wherein the data presentation information generation unit is further configured to:
responding to the acquired newly added legend information, and associating corresponding business states with the corresponding newly added legends;
determining a new added legend priority corresponding to the new added legend;
generating data presentation information based on the newly added legend, the service status, the newly added legend priority, the attribute information and the respective legends.
14. A data processing electronic device, comprising:
one or more processors;
storage means for storing one or more programs,
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-7.
15. A computer readable medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-7.
16. A computer program product comprising a computer program which, when executed by a processor, implements the method according to any of claims 1-7.
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| CN202310141978.9A CN116109445A (en) | 2023-02-21 | 2023-02-21 | Data processing method, device, electronic equipment and computer readable medium |
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| CN202310141978.9A CN116109445A (en) | 2023-02-21 | 2023-02-21 | Data processing method, device, electronic equipment and computer readable medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117151743A (en) * | 2023-10-27 | 2023-12-01 | 江苏中天互联科技有限公司 | Digital record identification method and device, electronic equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117151743A (en) * | 2023-10-27 | 2023-12-01 | 江苏中天互联科技有限公司 | Digital record identification method and device, electronic equipment and storage medium |
| CN117151743B (en) * | 2023-10-27 | 2024-01-30 | 江苏中天互联科技有限公司 | Digital record identification method and device, electronic equipment and storage medium |
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