CN114399293A - Information reminding method, device, equipment and storage medium - Google Patents

Information reminding method, device, equipment and storage medium Download PDF

Info

Publication number
CN114399293A
CN114399293A CN202210073945.0A CN202210073945A CN114399293A CN 114399293 A CN114399293 A CN 114399293A CN 202210073945 A CN202210073945 A CN 202210073945A CN 114399293 A CN114399293 A CN 114399293A
Authority
CN
China
Prior art keywords
information
user
time
quotation
service
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.)
Granted
Application number
CN202210073945.0A
Other languages
Chinese (zh)
Other versions
CN114399293B (en
Inventor
洪钦敏
邓创兵
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.)
Ping An Technology Shenzhen Co Ltd
Original Assignee
Ping An Technology Shenzhen 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 Ping An Technology Shenzhen Co Ltd filed Critical Ping An Technology Shenzhen Co Ltd
Priority to CN202210073945.0A priority Critical patent/CN114399293B/en
Publication of CN114399293A publication Critical patent/CN114399293A/en
Application granted granted Critical
Publication of CN114399293B publication Critical patent/CN114399293B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • G06Q10/109Time management, e.g. calendars, reminders, meetings or time accounting
    • 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
    • G06F16/2455Query execution
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00Handling natural language data
    • G06F40/30Semantic analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/46Multiprogramming arrangements
    • G06F9/54Interprogram communication
    • G06F9/546Message passing systems or structures, e.g. queues
    • 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
    • G06Q10/00Administration; Management
    • G06Q10/02Reservations, e.g. for tickets, services or events
    • 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
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0611Request for offers or quotes

Abstract

The invention relates to a data analysis technology, and discloses an information reminding method, which comprises the following steps: judging whether the user information can be retrieved in the service information base; if not, predicting to obtain time information corresponding to the user information by using a pre-constructed information prediction model; if yes, extracting time information in service information corresponding to the user information from a service information base; calculating with the appointment time and the offer time respectively according to the time information to obtain an appointment time interval and an offer time interval; if the current time is in the reserved time interval, generating reservation information according to the user information and the reservation template and sending the reservation information to the user by using the message middleware; and if the current time is within the quotation time interval, screening quotation information from the historical quotation information set according to the service level corresponding to the user information and sending the quotation information to the user. The invention also provides an information reminding device, equipment and a medium. The invention can improve the applicability and efficiency of appointment and quotation reminding.

Description

Information reminding method, device, equipment and storage medium
Technical Field
The present invention relates to the field of data analysis technologies, and in particular, to an information reminding method and apparatus, an electronic device, and a computer-readable storage medium.
Background
The services provided by enterprises for clients are generally classified into temporary services, long-term services, persistent services, and the like. Wherein, the temporary service refers to a service with a fixed term, such as accident insurance of one day, the long-term service refers to a lifetime service without a fixed term, such as disease insurance, and the renewal service refers to a service with a fixed term and needing to be renewed before the expiration, such as vehicle insurance, accident insurance of one year, disease insurance, and the like.
For the persistent service, the user generally needs to be reminded periodically to ensure the normal and smooth service. For example, the user is reminded to renew the fare 30 days before the car insurance expires and the price of the next premium is quoted. However, users faced by one service are different, the set reminding service is also different according to the difference of the users, if the actual situation of the users is not considered, the user is directly pushed with the service reminding, the participation sense of the users to the service is reduced, and the actual requirements of the users are possibly not met; if the user is reminded separately, the efficiency of the work may be reduced. In summary, the existing service booking and quotation method has the problems of low booking and quotation reminding applicability and efficiency.
Disclosure of Invention
The invention provides an information reminding method, an information reminding device and a computer readable storage medium, and mainly aims to solve the problems of low applicability and low efficiency of appointment and quotation reminding.
In order to achieve the above object, the present invention provides an information reminding method, which comprises:
acquiring user information of a user, and judging whether the user information can be retrieved in a preset service information base;
if the user information cannot be retrieved in the service information base, predicting to obtain time information corresponding to the user information by using a pre-constructed information prediction model;
if the user information can be retrieved in the service information base, extracting service information corresponding to the user information from the service information base, and extracting time information from the service information;
calculating with preset appointment time and preset quotation time respectively according to the time information to obtain an appointment time interval and a quotation time interval;
acquiring current time information, and judging whether the current time information is in the reservation time interval or the quotation time interval;
if the current time information is in the reserved time interval, extracting information missing from a preset reserved template from the user information as target information, generating reserved information according to the target information and the reserved template, and sending the reserved information to the user by using a message middleware;
and if the current time information is in the quotation time interval, determining a corresponding service level according to the user information, screening quotation information from a preset historical quotation information set according to the service level, and sending the quotation information to the user.
Optionally, the determining whether the user information can be retrieved from a preset service information base includes:
searching each piece of user information in the service information base one by one;
judging whether the user information contains information which can be searched in the service information base;
if any of the user information is retrievable within the service information base, determining if the user information is retrievable within the service information base;
determining that the user information cannot be retrieved in the service information base if all of the user information cannot be retrieved in the service information base.
Optionally, the extracting missing information in a preset reservation template from the user information as target information, and generating reservation information according to the target information and the reservation template includes:
extracting a missing information label in the reservation template;
performing semantic analysis on the user information to obtain a plurality of text semantics;
calculating the similarity of the plurality of text semantics and the missing information labels one by one;
selecting the text semantics with the maximum similarity as the missing label information of the missing label;
and filling the missing tag information into the reservation template to obtain reservation information.
Optionally, the sending the reservation information to the user by using a message middleware includes:
pushing the reservation information to a pre-constructed first message queue;
when the existence time of the reservation information in the first message queue meets the preset survival time, extracting the reservation time from the first message queue and pushing the reservation time to a second message queue;
and sending the reservation information in the first message queue to the user according to the reservation time in the second message queue by using a preset message middleware.
Optionally, the determining, according to the user information, a corresponding service level, and screening out offer information from a preset historical offer information set according to the service level includes:
acquiring historical quotation information of all users and corresponding service levels;
classifying the historical quotation information according to the service level to obtain a plurality of historical quotation information sets;
determining a target service level according to the service information corresponding to the user information;
and searching in the historical quotation information set corresponding to the target service level to obtain quotation information meeting preset conditions.
Optionally, before obtaining the appointment time interval and the offer time interval according to the calculation of the time information and the preset appointment time and the preset offer time, the method further includes:
extracting label information corresponding to a preset label in the service information;
extracting associated information corresponding to the label information in a preset quotation information table according to the label information;
and extracting time information in the associated information as quotation time.
Optionally, the acquiring user information of the user includes:
acquiring a storage path of the user information of the user;
compiling the storage path into path parameters, assigning a preset data interface by using the path parameters, and calling the user information of the user by using the assigned data interface.
In order to solve the above problem, the present invention further provides an information reminding device, including:
the time information acquisition module is used for acquiring user information of a user and judging whether the user information can be retrieved in a preset service information base; if the user information cannot be retrieved in the service information base, predicting to obtain time information corresponding to the user information by using a pre-constructed information prediction model; if the user information can be retrieved in the service information base, extracting service information corresponding to the user information from the service information base, and extracting time information from the service information;
the time interval acquisition module is used for calculating with preset reservation time and preset quotation time respectively according to the time information to obtain a reservation time interval and a quotation time interval;
the reservation information sending module is used for acquiring current time information and judging whether the current time information is in the reservation time interval or the quotation time interval; if the current time information is in the reserved time interval, extracting information missing from a preset reserved template from the user information as target information, generating reserved information according to the target information and the reserved template, and sending the reserved information to the user by using a message middleware;
and the quotation information sending module is used for determining a corresponding service level according to the user information if the current time information is within the quotation time interval, screening quotation information from a preset historical quotation information set according to the service level, and sending the quotation information to the user.
In order to solve the above problem, the present invention also provides an electronic device, including:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the message alert method described above.
In order to solve the above problem, the present invention further provides a computer-readable storage medium, in which at least one computer program is stored, and the at least one computer program is executed by a processor in an electronic device to implement the information reminding method described above.
According to the embodiment of the invention, service information is retrieved according to user information, the time information of the service is determined through the service information, or the time information is obtained through an information prediction model, so that a reserved reminding interval or a quotation reminding interval is obtained, and different requirements of a user at different time nodes of the service are realized; the transmission of the reservation information is realized through the message middleware, and the information backlog and the information disorder generated when the reservation information is excessive are prevented. Therefore, the information reminding method, the information reminding device, the electronic equipment and the computer readable storage medium provided by the invention can solve the problems of low applicability and low efficiency of appointment and quotation reminding.
Drawings
Fig. 1 is a schematic flow chart of an information reminding method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of acquiring reservation information according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of obtaining quotation information according to an embodiment of the present invention;
FIG. 4 is a functional block diagram of an information alert device according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device implementing the information reminding method according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The embodiment of the application provides an information reminding method. The execution subject of the information reminding method includes, but is not limited to, at least one of electronic devices that can be configured to execute the method provided by the embodiment of the present application, such as a server, a terminal, and the like. In other words, the information reminding method may be executed by software or hardware installed in the terminal device or the server device, and the software may be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like. The server may be an independent server, or may be a cloud server that provides basic cloud computing services such as a cloud service, a cloud database, cloud computing, a cloud function, cloud storage, a Network service, cloud communication, a middleware service, a domain name service, a security service, a Content Delivery Network (CDN), a big data and artificial intelligence platform, and the like.
Fig. 1 is a schematic flow chart of an information reminding method according to an embodiment of the present invention.
In this embodiment, the information reminding method includes:
s1, acquiring user information of a user, and judging whether the user information can be retrieved in a preset service information base;
in the embodiment of the invention, the service information base stores user information corresponding to the service and information related to the service by the user. For example, in the car insurance service, the name, identification number and the like of the user are user information, and the premium and expiration time of the car insurance are information related to the service of the user.
In the embodiment of the present invention, the acquiring user information of the user includes:
acquiring a storage path of the user information of the user;
compiling the storage path into path parameters, assigning a preset data interface by using the path parameters, and calling the user information of the user by using the assigned data interface.
The storage path may be uploaded in advance by a person having the ability to manage user information, such as a service function manager.
Specifically, a preset compiler may be utilized to compile the storage path into a path parameter, and assign a value to a preset data interface by using the path parameter, and the data interface may be utilized to call data in the storage path, where the compiler includes but is not limited to: microsoft Visual Studio, Dev-C + +, C + + Builder, Emacs + GC.
In this embodiment of the present invention, the determining whether the user information can be retrieved from a preset service information base includes:
searching each piece of user information in the service information base one by one;
judging whether the user information contains information which can be searched in the service information base;
if any of the user information is retrievable within the service information base, determining if the user information is retrievable within the service information base;
determining that the user information cannot be retrieved in the service information base if all of the user information cannot be retrieved in the service information base.
If the user information cannot be retrieved from the service information base, executing S2, and predicting to obtain time information corresponding to the user information by using a pre-constructed information prediction model;
in the embodiment of the invention, the information prediction model comprises but is not limited to a CNN model and a multi-term naive Bayes distribution model based on a pre-training word2vec model.
In an optional embodiment of the present invention, a training process of the pre-constructed information prediction model is as follows: inputting training data containing a large amount of user information and corresponding real time information into a preset information prediction model, performing convolution, pooling and full connection for preset times, outputting through an activator to obtain predicted time information corresponding to each piece of user information, and calculating a loss value according to the predicted time information corresponding to each piece of user information and the real time information corresponding to each piece of user information; and optimizing the information prediction model according to the loss value, and when the prediction time information corresponding to the training data obtained by the optimized information prediction model reaches a preset condition, indicating that the information prediction model is successfully trained, so as to obtain the pre-constructed information prediction model.
In the embodiment of the present invention, the obtaining of the time information corresponding to the user information by using the pre-constructed information prediction model includes:
inputting the user information into the word2vec embedded in the information prediction model to obtain a vector matrix;
performing convolution, pooling and full connection on the vector matrix for preset times through the information prediction model to obtain prediction information;
and calculating time information corresponding to the prediction information through an activator.
In another optional embodiment of the present invention, after the user information cannot be retrieved from the service information base, the method further includes:
sending a time information request to the user;
and receiving the time information returned by the user according to the time information request.
In the embodiment of the invention, if the user information cannot be retrieved in the service information base, the cooperation of the relevant service with the user is not established, because the information required by the service needs to be actively acquired from the user, namely a time information request is initiated, and new client resources are strived for the service.
In the embodiment of the invention, the appointment reminder or the quotation reminder can be determined and generated by using the time information according to the time information obtained by the user responding to the request.
If the user information can be retrieved from the service information base, executing S3, extracting service information corresponding to the user information from the service information base, and extracting time information in the service information;
in the embodiment of the invention, the time information refers to the time required for reminding, for example, in the car insurance service, the time information is the expiration time of the car insurance.
In the embodiment of the invention, in the service information base, the user information and the service information corresponding to the user information can be stored in a correlated manner; the specific information in the user information and the specific information in the service information corresponding to the user information may also be stored in association. When the service information corresponding to the user information is extracted according to the user information, the service information can be extracted according to the incidence relation between the user information and the service information corresponding to the user information, and the time information in the service information can also be extracted according to the direct incidence relation between the service information and the time information.
S4, calculating a preset booking time and a preset quotation time according to the time information to obtain a booking time interval and a quotation time interval;
in the embodiment of the invention, the appointment time refers to the time limit that a user can make an appointment for a service, and the quotation time refers to the time limit that the user can possibly make a service transaction; the appointment time quotation interval refers to the time quotation interval in which the service can be appointed and an appointment reminder can be sent at this stage; the quotation time interval means that the service can be traded in the quotation time interval, and quotation reminding can be sent at this stage.
In the embodiment of the present invention, the calculating method according to the time information and the preset reservation time and the preset offer time may be configured to set the time lengths of the preset time and the offer time as the interval time lengths of a reservation time interval and an offer time interval; or calculating according to the reservation time and the offer time through a preset calculation rule, and further determining a reservation time interval and an offer time interval.
For example, in the car insurance service, the expiration time of the car insurance is 2022 years 1 month 31, the reservation time is 3 months, and if the calculation rule is to set the time length of the reservation time as the section time length of the reservation time section, the reservation time section can be obtained from 2021 year 11 month 1 to 2022 year 1 month 31.
In an embodiment of the present invention, before obtaining the appointment time interval and the offer time interval by calculating the time information with the preset appointment time and the preset offer time, the method further includes:
extracting label information corresponding to a preset label in the service information;
extracting associated information corresponding to the label information in a preset quotation information table according to the label information;
and extracting time information in the associated information as quotation time.
In the embodiment of the invention, the label can be a city, a service brand, a user portrait and the like; the associated information corresponding to the tag information in the quotation information table can be time limit, price, and the like.
For example, in the car insurance service, the tag is a city, and the tag information is a specific city, such as Shenzhen and Shanghai; the associated information corresponding to different cities in the quotation information table may also be different, for example, the associated information is a time limit of quotation, the quotation time of shenzhen is 30 days, and the quotation time of shanghai is 15 days, if the expiration time of the automobile insurance is 2022 year 1 month 31, the quotation time interval of shenzhen is 2022 year 1 month 2 to 2021 year 1 month 31, and the quotation time interval of shanghai is 2022 year 1 month 17 to 2021 year 1 month 31.
S5, acquiring current time information, and judging whether the current time information is in the reservation time interval or the quotation time interval;
in this embodiment, current time information may also be fetched from a network or a system by using a computer sentence (such as a java sentence, a python sentence, etc.) or a crawler technology with a data fetching function.
If the current time information is in the reserved time interval, executing S6, extracting missing information in a preset reserved template from the user information as target information, generating reserved information according to the target information and the reserved template, and sending the reserved information to the user by using message middleware;
in an embodiment of the present invention, referring to fig. 2, the extracting missing information in a preset reservation template from the user information as target information, and generating reservation information according to the target information and the reservation template includes:
s61, extracting the missing information label in the reservation template;
s62, performing semantic analysis on the user information to obtain a plurality of text semantics;
s63, calculating the similarity of the missing information labels one by one according to the plurality of text semantics;
s64, selecting the text semantic with the maximum similarity as the missing label information of the missing label;
and S65, filling the missing label information into the reservation template to obtain reservation information.
Further, the similarity calculation may be performed on the plurality of text semantics and the missing information tag by the following formula:
Figure BDA0003483149360000091
wherein cos θ is the similarity, aiFor the ith text semantic, bjIs the jth missing information tag.
In this embodiment of the present invention, the sending the reservation information to the user by using the message middleware includes:
pushing the reservation information to a pre-constructed first message queue;
when the existence time of the reservation information in the first message queue meets the preset survival time, extracting the reservation time from the first message queue and pushing the reservation time to a second message queue;
and sending the reservation information in the first message queue to the user according to the reservation time in the second message queue by using a preset message middleware.
In this embodiment of the present invention, when the reservation information reaches the preset survival time in the first message queue, the reservation information may be pushed to the second message queue by a preset plug-in (for example, a RabbitMq _ delayed _ message _ exchange plug-in of RabbitMq).
In the embodiment of the invention, the distribution of the information can be performed by the producer in the message queue, and the processing of the information can be performed by the consumer. Both the producer and consumer are made up of a stack of threads, the producer may be used to produce and distribute data, and the consumer may be used to consume data. For example, a producer of the message middleware may take out information in a message queue for distribution, and perform an operation corresponding to the information by consuming the taken out information by a consumer of the message middleware.
In the embodiment of the invention, the appointment reminding is realized through the message middleware, so that the distribution of the appointment information can be more efficient, for example, in the reminding task, a large number of users to be reminded are obtained, the appointment information is directly sent to the users one by one, which easily causes information overstock and information disorder, and the ordered execution of each appointment information can be realized by pushing the appointment information into the message queue.
And if the current time information is in the quotation time interval, executing S7, determining a corresponding service level according to the user information, screening quotation information from a preset historical quotation information set according to the service level, and sending the quotation information to the user.
In the embodiment of the present invention, please refer to fig. 3, where the determining a corresponding service level according to the user information and screening out quotation information from a preset historical quotation information set according to the service level includes:
s71, acquiring historical quotation information of all users and corresponding service levels;
s72, classifying the historical quotation information according to the service level to obtain a plurality of historical quotation information sets;
s73, determining a target service level according to the service information corresponding to the user information;
and S74, searching in the historical quotation information set corresponding to the service level to obtain quotation information meeting the preset conditions.
In the embodiment of the invention, the preset condition can be the quotation information with the minimum price amount and the highest concentration frequency of the quotation information.
In the embodiment of the present invention, the process of generating and sending the offer information to the user by the user may be similar to the step of generating the reservation information according to the user information and the preset reservation template in S4, and sending the reservation information to the user by using the message middleware; or the user directly executes the sending operation after generating the quotation information.
In an actual application scenario, corresponding rights and interests can be generated according to user information while appointment information or offer information is sent, and different rights and interests are configured according to different types of reminders. For example, a forward right can be issued when an appointment reminder is made, i.e., the user cannot use the right immediately, and can only use the forward right when entering a quotation phase or performing a service transaction; when the quotation reminding is carried out, the quotation available rights and interests can be sent and can be used in the quotation stage.
If the current time information is not in the reservation time interval and the quotation time interval, executing S8, stopping reservation and quotation reminding;
in the embodiment of the invention, if the obtained current time is not in the reservation time interval or the quotation time interval, reservation reminding and quotation reminding are not needed.
According to the embodiment of the invention, service information is retrieved according to user information, the time information of the service is determined through the service information, or the time information is obtained through an information prediction model, so that a reserved reminding interval or a quotation reminding interval is obtained, and different requirements of a user at different time nodes of the service are realized; the transmission of the reservation information is realized through the message middleware, and the information backlog and the information disorder generated when the reservation information is excessive are prevented. Therefore, the information reminding method provided by the invention can solve the problems of low applicability and low efficiency of appointment and quotation reminding.
Fig. 4 is a functional block diagram of an information reminding apparatus according to an embodiment of the present invention.
The information reminding device 100 can be installed in an electronic device. According to the realized functions, the information reminding device 100 can comprise a time information acquisition module 101, a time interval acquisition module 102, a reservation information sending module 103 and a quotation information sending module 104. The module of the present invention, which may also be referred to as a unit, refers to a series of computer program segments that can be executed by a processor of an electronic device and that can perform a fixed function, and that are stored in a memory of the electronic device.
In the present embodiment, the functions regarding the respective modules/units are as follows:
the time information acquiring module 101 is configured to acquire user information of a user and determine whether the user information can be retrieved from a preset service information base; if the user information cannot be retrieved in the service information base, predicting to obtain time information corresponding to the user information by using a pre-constructed information prediction model; if the user information can be retrieved in the service information base, extracting service information corresponding to the user information from the service information base, and extracting time information from the service information;
the time interval obtaining module 102 is configured to calculate, according to the time information, a preset reservation time and a preset offer time respectively to obtain a reservation time interval and an offer time interval;
the reservation information sending module 103 is configured to obtain current time information, and determine whether the current time information is in the reservation time interval or the offer time interval; if the current time information is in the reserved time interval, extracting information missing from a preset reserved template from the user information as target information, generating reserved information according to the target information and the reserved template, and sending the reserved information to the user by using a message middleware;
and the quotation information sending module 104 is configured to, if the current time information is within the quotation time interval, determine a corresponding service level according to the user information, screen out quotation information from a preset historical quotation information set according to the service level, and send the quotation information to the user.
In detail, when the modules in the information reminding device 100 according to the embodiment of the present invention are used, the same technical means as the information reminding method described in fig. 1 to 3 are adopted, and the same technical effects can be produced, which is not described herein again.
Fig. 5 is a schematic structural diagram of an electronic device implementing an information reminding method according to an embodiment of the present invention.
The electronic device 1 may include a processor 10, a memory 11, a communication bus 12, and a communication interface 13, and may further include a computer program, such as a message reminder, stored in the memory 11 and executable on the processor 10.
In some embodiments, the processor 10 may be composed of an integrated circuit, for example, a single packaged integrated circuit, or may be composed of a plurality of integrated circuits packaged with the same function or different functions, and includes one or more Central Processing Units (CPUs), a microprocessor, a digital Processing chip, a graphics processor, a combination of various control chips, and the like. The processor 10 is a Control Unit (Control Unit) of the electronic device, connects various components of the electronic device by using various interfaces and lines, and executes various functions and processes data of the electronic device by running or executing programs or modules (e.g., executing an information reminder, etc.) stored in the memory 11 and calling data stored in the memory 11.
The memory 11 includes at least one type of readable storage medium including flash memory, removable hard disks, multimedia cards, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, magnetic disks, optical disks, etc. The memory 11 may in some embodiments be an internal storage unit of the electronic device, for example a removable hard disk of the electronic device. The memory 11 may also be an external storage device of the electronic device in other embodiments, such as a plug-in mobile hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like, which are provided on the electronic device. Further, the memory 11 may also include both an internal storage unit and an external storage device of the electronic device. The memory 11 may be used to store not only application software installed in the electronic device and various types of data, such as codes of an information reminder, but also temporarily store data that has been output or will be output.
The communication bus 12 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is arranged to enable connection communication between the memory 11 and at least one processor 10 or the like.
The communication interface 13 is used for communication between the electronic device and other devices, and includes a network interface and a user interface. Optionally, the network interface may include a wired interface and/or a wireless interface (e.g., WI-FI interface, bluetooth interface, etc.), which are typically used to establish a communication connection between the electronic device and other electronic devices. The user interface may be a Display (Display), an input unit such as a Keyboard (Keyboard), and optionally a standard wired interface, a wireless interface. Alternatively, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, or the like. The display, which may also be referred to as a display screen or display unit, is suitable, among other things, for displaying information processed in the electronic device and for displaying a visualized user interface.
Fig. 5 only shows an electronic device with components, and it will be understood by a person skilled in the art that the structure shown in fig. 5 does not constitute a limitation of the electronic device 1, and may comprise fewer or more components than shown, or a combination of certain components, or a different arrangement of components.
For example, although not shown, the electronic device may further include a power supply (such as a battery) for supplying power to each component, and preferably, the power supply may be logically connected to the at least one processor 10 through a power management device, so that functions of charge management, discharge management, power consumption management and the like are realized through the power management device. The power supply may also include any component of one or more dc or ac power sources, recharging devices, power failure detection circuitry, power converters or inverters, power status indicators, and the like. The electronic device may further include various sensors, a bluetooth module, a Wi-Fi module, and the like, which are not described herein again.
It is to be understood that the described embodiments are for purposes of illustration only and that the scope of the appended claims is not limited to such structures.
The information reminder stored in the memory 11 of the electronic device 1 is a combination of instructions, which when executed in the processor 10, can implement:
acquiring user information of a user, and judging whether the user information can be retrieved in a preset service information base;
if the user information cannot be retrieved in the service information base, predicting to obtain time information corresponding to the user information by using a pre-constructed information prediction model;
if the user information can be retrieved in the service information base, extracting service information corresponding to the user information from the service information base, and extracting time information from the service information;
calculating with preset appointment time and preset quotation time respectively according to the time information to obtain an appointment time interval and a quotation time interval;
acquiring current time information, and judging whether the current time information is in the reservation time interval or the quotation time interval;
if the current time information is in the reserved time interval, extracting information missing from a preset reserved template from the user information as target information, generating reserved information according to the target information and the reserved template, and sending the reserved information to the user by using a message middleware;
and if the current time information is in the quotation time interval, determining a corresponding service level according to the user information, screening quotation information from a preset historical quotation information set according to the service level, and sending the quotation information to the user.
Specifically, the specific implementation method of the instruction by the processor 10 may refer to the description of the relevant steps in the embodiment corresponding to the drawings, which is not described herein again.
Further, the integrated modules/units of the electronic device 1, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. The computer readable storage medium may be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying said computer program code, recording medium, U-disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM).
The present invention also provides a computer-readable storage medium, storing a computer program which, when executed by a processor of an electronic device, may implement:
acquiring user information of a user, and judging whether the user information can be retrieved in a preset service information base;
if the user information cannot be retrieved in the service information base, predicting to obtain time information corresponding to the user information by using a pre-constructed information prediction model;
if the user information can be retrieved in the service information base, extracting service information corresponding to the user information from the service information base, and extracting time information from the service information;
calculating with preset appointment time and preset quotation time respectively according to the time information to obtain an appointment time interval and a quotation time interval;
acquiring current time information, and judging whether the current time information is in the reservation time interval or the quotation time interval;
if the current time information is in the reserved time interval, extracting information missing from a preset reserved template from the user information as target information, generating reserved information according to the target information and the reserved template, and sending the reserved information to the user by using a message middleware;
and if the current time information is in the quotation time interval, determining a corresponding service level according to the user information, screening quotation information from a preset historical quotation information set according to the service level, and sending the quotation information to the user.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a series of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, so as to verify the validity (anti-counterfeiting) of the information and generate a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims (10)

1. An information reminding method is characterized by comprising the following steps:
acquiring user information of a user, and judging whether the user information can be retrieved in a preset service information base;
if the user information cannot be retrieved in the service information base, predicting to obtain time information corresponding to the user information by using a pre-constructed information prediction model;
if the user information can be retrieved in the service information base, extracting service information corresponding to the user information from the service information base, and extracting time information from the service information;
calculating with preset appointment time and preset quotation time respectively according to the time information to obtain an appointment time interval and a quotation time interval;
acquiring current time information, and judging whether the current time information is in the reservation time interval or the quotation time interval;
if the current time information is in the reserved time interval, extracting information missing from a preset reserved template from the user information as target information, generating reserved information according to the target information and the reserved template, and sending the reserved information to the user by using a message middleware;
and if the current time information is in the quotation time interval, determining a corresponding service level according to the user information, screening quotation information from a preset historical quotation information set according to the service level, and sending the quotation information to the user.
2. The method for reminding of information according to claim 1, wherein said determining whether said user information can be retrieved from a predetermined service information base comprises:
searching each piece of user information in the service information base one by one;
judging whether the user information contains information which can be searched in the service information base;
if any of the user information is retrievable within the service information base, determining if the user information is retrievable within the service information base;
determining that the user information cannot be retrieved in the service information base if all of the user information cannot be retrieved in the service information base.
3. The information reminding method according to claim 1, wherein the extracting information missing from a preset reservation template from the user information as target information, and generating reservation information according to the target information and the reservation template comprises:
extracting a missing information label in the reservation template;
performing semantic analysis on the user information to obtain a plurality of text semantics;
calculating the similarity of the plurality of text semantics and the missing information labels one by one;
selecting the text semantics with the maximum similarity as the missing label information of the missing label;
and filling the missing tag information into the reservation template to obtain reservation information.
4. The message alert method as in claim 1, wherein the sending the reservation information to the user with messaging middleware comprises:
pushing the reservation information to a pre-constructed first message queue;
when the existence time of the reservation information in the first message queue meets the preset survival time, extracting the reservation time from the first message queue and pushing the reservation time to a second message queue;
and sending the reservation information in the first message queue to the user according to the reservation time in the second message queue by using a preset message middleware.
5. The information reminding method according to claim 1, wherein the determining a corresponding service level according to the user information and screening out offer information from a preset historical offer information set according to the service level comprises:
acquiring historical quotation information of all users and corresponding service levels;
classifying the historical quotation information according to the service level to obtain a plurality of historical quotation information sets;
determining a target service level according to the service information corresponding to the user information;
and searching in the historical quotation information set corresponding to the target service level to obtain quotation information meeting preset conditions.
6. The message alert method as claimed in claim 1, wherein the step of calculating the time information according to the preset booking time and the preset quotation time to obtain a booking time interval and a quotation time interval before the step of calculating the booking time interval and the quotation time interval further comprises the steps of:
extracting label information corresponding to a preset label in the service information;
extracting associated information corresponding to the label information in a preset quotation information table according to the label information;
and extracting time information in the associated information as quotation time.
7. The information reminding method according to any of claims 1 to 6, wherein the acquiring user information of the user comprises:
acquiring a storage path of the user information of the user;
compiling the storage path into path parameters, assigning a preset data interface by using the path parameters, and calling the user information of the user by using the assigned data interface.
8. An information reminder device, the device comprising:
the time information acquisition module is used for acquiring user information of a user and judging whether the user information can be retrieved in a preset service information base; if the user information cannot be retrieved in the service information base, predicting to obtain time information corresponding to the user information by using a pre-constructed information prediction model; if the user information can be retrieved in the service information base, extracting service information corresponding to the user information from the service information base, and extracting time information from the service information;
the time interval acquisition module is used for calculating with preset reservation time and preset quotation time respectively according to the time information to obtain a reservation time interval and a quotation time interval;
the reservation information sending module is used for acquiring current time information and judging whether the current time information is in the reservation time interval or the quotation time interval; if the current time information is in the reserved time interval, extracting information missing from a preset reserved template from the user information as target information, generating reserved information according to the target information and the reserved template, and sending the reserved information to the user by using a message middleware;
and the quotation information sending module is used for determining a corresponding service level according to the user information if the current time information is within the quotation time interval, screening quotation information from a preset historical quotation information set according to the service level, and sending the quotation information to the user.
9. An electronic device, characterized in that the electronic device comprises:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the information alert method as claimed in any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the information reminding method according to any one of claims 1 to 7.
CN202210073945.0A 2022-01-21 2022-01-21 Information reminding method, device, equipment and storage medium Active CN114399293B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202210073945.0A CN114399293B (en) 2022-01-21 2022-01-21 Information reminding method, device, equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202210073945.0A CN114399293B (en) 2022-01-21 2022-01-21 Information reminding method, device, equipment and storage medium

Publications (2)

Publication Number Publication Date
CN114399293A true CN114399293A (en) 2022-04-26
CN114399293B CN114399293B (en) 2024-02-02

Family

ID=81231892

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202210073945.0A Active CN114399293B (en) 2022-01-21 2022-01-21 Information reminding method, device, equipment and storage medium

Country Status (1)

Country Link
CN (1) CN114399293B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105279957A (en) * 2015-10-30 2016-01-27 小米科技有限责任公司 Message prompting method and device
US20160342694A1 (en) * 2015-05-22 2016-11-24 International Business Machines Corporation Cognitive Reminder Notification Based on Personal User Profile and Activity Information
US20170147951A1 (en) * 2015-11-23 2017-05-25 Google Inc. Automatic booking of transportation based on context of a user of a computing device
CN108696545A (en) * 2017-02-14 2018-10-23 北京嘀嘀无限科技发展有限公司 Message method and device
CN111695711A (en) * 2020-06-15 2020-09-22 北京交通发展研究院 Reservation method and device
CN112949879A (en) * 2021-03-26 2021-06-11 支付宝(杭州)信息技术有限公司 Travel reservation processing method and device
CN113488151A (en) * 2021-07-12 2021-10-08 浙江海心智惠科技有限公司 Reservation method based on information prompt

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160342694A1 (en) * 2015-05-22 2016-11-24 International Business Machines Corporation Cognitive Reminder Notification Based on Personal User Profile and Activity Information
CN105279957A (en) * 2015-10-30 2016-01-27 小米科技有限责任公司 Message prompting method and device
US20170147951A1 (en) * 2015-11-23 2017-05-25 Google Inc. Automatic booking of transportation based on context of a user of a computing device
CN108696545A (en) * 2017-02-14 2018-10-23 北京嘀嘀无限科技发展有限公司 Message method and device
CN111695711A (en) * 2020-06-15 2020-09-22 北京交通发展研究院 Reservation method and device
CN112949879A (en) * 2021-03-26 2021-06-11 支付宝(杭州)信息技术有限公司 Travel reservation processing method and device
CN113488151A (en) * 2021-07-12 2021-10-08 浙江海心智惠科技有限公司 Reservation method based on information prompt

Also Published As

Publication number Publication date
CN114399293B (en) 2024-02-02

Similar Documents

Publication Publication Date Title
CN112380859A (en) Public opinion information recommendation method and device, electronic equipment and computer storage medium
CN112306661A (en) Task scheduling method and device, electronic equipment and readable storage medium
CN114881616A (en) Business process execution method and device, electronic equipment and storage medium
CN112256783A (en) Data export method and device, electronic equipment and storage medium
CN113868529A (en) Knowledge recommendation method and device, electronic equipment and readable storage medium
CN113890712A (en) Data transmission method and device, electronic equipment and readable storage medium
CN113379391A (en) Work order processing method and device, electronic equipment and computer readable storage medium
CN114844844A (en) Delay message processing method, device, equipment and storage medium
CN114880368A (en) Data query method and device, electronic equipment and readable storage medium
CN114185776A (en) Big data point burying method, device, equipment and medium for application program
CN113868528A (en) Information recommendation method and device, electronic equipment and readable storage medium
CN117193975A (en) Task scheduling method, device, equipment and storage medium
CN116434934A (en) Message queue-based patient waiting method and device, electronic equipment and medium
CN114399293B (en) Information reminding method, device, equipment and storage medium
CN114817408A (en) Scheduling resource identification method and device, electronic equipment and storage medium
CN115759746A (en) Configurable user early warning method and device, electronic equipment and storage medium
CN114626948A (en) Block chain transaction accounting method and device, electronic equipment and storage medium
CN113918296A (en) Model training task scheduling execution method and device, electronic equipment and storage medium
CN114387021A (en) Service state generation method, device, equipment and storage medium
CN113268478A (en) Big data analysis method and device, electronic equipment and storage medium
CN114723280A (en) Task object allocation method and device, electronic equipment and readable storage medium
CN112527842B (en) System flow pushing method and device, electronic equipment and computer readable storage medium
CN114548925B (en) Online activity invitation method, device, equipment and storage medium
CN114202367A (en) Rights and interests allocation method, device, equipment and medium based on user portrait
CN117116441A (en) Date object creation-based consultation reservation method, device, equipment and storage medium

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
GR01 Patent grant
GR01 Patent grant