CN114691837B - Insurance business data processing method and processing system based on big data - Google Patents
Insurance business data processing method and processing system based on big data Download PDFInfo
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Abstract
The invention discloses an insurance business data processing method and system based on big data, and belongs to the technical field of data processing. The method comprises the following steps: acquiring insurance request data of a target user, and filtering the insurance request data according to a preset insurance service database to obtain a core keyword list; when receiving an insurance service recommendation instruction of a target user input by a user side, determining an insurance service type corresponding to the insurance service recommendation instruction of the target user in preset user insurance services; and according to the determined insurance business type, counting the number of keywords in a core keyword list contained in each insurance business product in the insurance business type, sequencing the insurance business products according to the priority, and determining the insurance business target product. By applying the method and the device to the computer equipment, the efficiency of insurance analysis can be greatly improved, and insurance business target products can be effectively obtained, so that the insurance business analysis is more flexible and changeable.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to an insurance service data processing method and system based on big data.
Background
With the increasing of various insurance services, there is a great difference between different insurance services, that is, the personalized difference between various insurance services is very high, and each kind of insurance service also covers several different kinds of insurance service products. Because the traditional insurance business is developed by the line, the insurance business is pushed after being analyzed by business personnel according to the insurance business flow. Because insurance services are various, services cannot be accurately developed.
With the development of the internet and the application of big data, insurance business data of a target user group is gradually replaced by an online process instead of an offline artificial development and operation, so that various defects of manual entry are improved to a certain extent, and timeliness is improved. However, how to analyze an insurance business product meeting the target user according to the behavior requirement of the user, and how to process the insurance business based on big data, and how to efficiently and accurately obtain the insurance business target product becomes one of the problems that needs to be solved at present.
Disclosure of Invention
The invention provides an insurance business data processing method and system based on big data, and aims to solve the technical problem of how to efficiently and accurately acquire insurance business target products required by analyzing the insurance of target users.
In order to achieve the above object, the present invention provides an insurance service data processing method based on big data, comprising the following steps:
acquiring insurance request data of a target user, and filtering the insurance request data according to a preset insurance service database to obtain a core keyword list;
when receiving an insurance service recommendation instruction of the target user input by a user side, determining an insurance service type corresponding to the insurance service recommendation instruction of the target user in preset user insurance services;
and according to the determined insurance service types, counting the number of keywords in the core keyword list contained in each insurance service product in the insurance service types, sequencing the insurance service products according to the priority, and determining an insurance service target product.
Optionally, the step of counting the number of keywords in the core keyword list included in each insurance product in the insurance service types according to the determined insurance service types, and sequencing the insurance service products according to priorities to determine the insurance service target products includes:
determining a product priority statistic template corresponding to the insurance business type according to the determined insurance business type;
extracting keyword fields contained in each insurance service product in the insurance service type, and loading the keyword fields to the product priority statistical template to obtain insurance service product characteristic data;
and performing priority sequencing according to the occupation ratio of the insurance service product characteristic data in the insurance service products to obtain the insurance service target products corresponding to the insurance service recommendation instruction.
Optionally, before the step of receiving the insurance service recommendation instruction of the target user input by the user side and determining the insurance service type corresponding to the insurance service recommendation instruction of the target user in the preset user insurance service, the method includes:
acquiring the insurance type, the insurance times, the insurance participating duration and the insurance product name of a target user who participates in insurance, and storing the insurance type, the insurance times, the insurance participating duration and the insurance product name of the target user as historical insurance participating data of the target user.
Optionally, after the step of counting the number of keywords in the core keyword list included in each insurance product in the insurance service types according to the determined insurance service types, sorting the insurance service products according to priority, and determining the insurance service target products, the method includes:
and when receiving an insurance service recommendation instruction input by a user side, converting the insurance service target product into visual data which corresponds to the recommendation instruction and is sorted according to priority.
Optionally, after the step of obtaining the insurance service target product corresponding to the keyword in the core keyword list and the insurance service type, the method further includes:
receiving an insurance service recommendation instruction input by a target user, and determining a filtering condition corresponding to the insurance service recommendation instruction;
and acquiring insurance filtering data corresponding to the filtering condition in the insurance business target product according to the filtering condition.
Optionally, after the step of obtaining insurance filtering data corresponding to the filtering condition in the insurance business target product, the method includes:
and when receiving an insurance service recommendation instruction input by a user side, converting the insurance filtering data into visual data which corresponds to the recommendation instruction and is sorted according to priority.
Optionally, the step of obtaining insurance request data of the target user includes:
determining a current input interface of a user side, and collecting all user behavior data corresponding to the current input interface;
and acquiring a recording request corresponding to the current input interface, and recording insurance request data corresponding to the recording request in all the user behavior data.
In addition, in order to achieve the above object, the present invention further provides an insurance business data processing system based on big data, wherein the insurance business data processing system based on big data comprises:
the data processing module is used for acquiring insurance request data of a target user, and filtering the insurance request data according to a preset insurance service database to obtain a core keyword list;
the product determination module is used for determining an insurance service type corresponding to the insurance service recommendation instruction of the target user in preset user insurance services when receiving the insurance service recommendation instruction of the target user input by the user side; and according to the determined insurance service type, counting the number of keywords in the core keyword list contained in each insurance service product in the insurance service type, sequencing the insurance service products according to the priority, and determining the insurance service target product.
In addition, to achieve the above object, the present invention further provides a computer device, which includes a memory, a processor, and a big data-based insurance service data processing program stored on the memory and executable on the processor, wherein: when being executed by the processor, the big data-based insurance service data processing program realizes the steps of the big data-based insurance service data processing method.
In addition, to achieve the above object, the present invention also provides a readable storage medium, on which a big data-based insurance service data processing program is stored, which, when being executed by a processor, implements the steps of the big data-based insurance service data processing method as described above.
The technical scheme provided by the invention has the following beneficial effects:
according to the insurance business data processing method and system based on the big data, the insurance request data of the target user are obtained, the insurance request data are filtered according to the preset insurance business database, the core keyword list is obtained, the insurance request data configured by the target user can be filtered and sorted before the target user configures various insurance businesses of the target user, the corresponding core keyword list is obtained and stored, the situation that a large amount of original data of the target user needs to be read again, analyzed and backtracked and filtered when the request changes slightly every time is avoided, the resource occupancy rate during each data processing is greatly reduced, the data processing efficiency is improved, the required insurance data are presented in the form of the list, and the insurance data reading and analysis are facilitated. And determining the insurance service type corresponding to the insurance service recommendation instruction of the target user in the preset user insurance service through the received insurance service recommendation instruction of the target user input by the user side, so that the target user can randomly change an analysis request when analyzing the insurance data of the target user, all insurance data in the core keyword list can be conveniently analyzed, the behavior of the target user can be analyzed more flexibly, the analysis is not limited to the specific insurance service of the target user, and even the target user without development experience can easily take the place and apply the analysis. And finally, counting the number of keywords in the core keyword list contained in each insurance service product in the insurance service types according to the determined insurance service types, sequencing the insurance service products according to the priority, and determining the insurance service target products.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor. In the drawings:
fig. 1 is a schematic structural diagram of a hardware operating environment of a computer device according to an embodiment of the present invention.
Fig. 2 is a flowchart of an insurance service data processing method based on big data according to an embodiment of the present invention.
Fig. 3 is a flowchart of acquiring insurance request data in the insurance service data processing method based on big data according to the embodiment of the present invention.
Fig. 4 is a flowchart of insurance filtering data in a big data-based insurance service data processing method according to an embodiment of the present invention.
Fig. 5 is a flowchart of prioritization in a big-data-based insurance service data processing method according to an embodiment of the present invention.
Fig. 6 is a flowchart of a visualization operation in the insurance business data processing method based on big data according to the embodiment of the present invention.
Fig. 7 is a block diagram of a big data-based insurance service data processing system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a computer device in a hardware operating environment of the computer device according to an embodiment of the present invention.
As shown in fig. 1, the computer apparatus 100 may include: a processor 101, a memory 102, a communication bus 103, a network interface 104, and a user side interface 105. The processor 101 may be a CPU; the memory 102 may be a high speed RAM memory or may be a stable memory such as a disk memory. The memory 102 may alternatively be a storage system separate from the aforementioned processor 101.
The communication bus 103 is used to realize connection communication between these components. The network interface 104 may optionally include a standard wired interface, a wireless interface. The memory 102, which is a kind of computer storage medium, may include therein an insurance service data processing program based on big data. The user interface 105 may include a display, an input unit such as a control panel, and the optional user interface 105 may also include a standard wired interface, a wireless interface.
In this embodiment, the computer device 100 may further include a microphone, a speaker, an RF (Radio Frequency) circuit, a sensor, an audio circuit, a wireless module, and the like. The sensors, such as light sensors, acceleration sensors, image sensors, and other sensors, are not described in detail herein.
Those skilled in the art will appreciate that the computer device architecture depicted in FIG. 1 is not intended to be limiting of computer devices and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 2, fig. 2 is a schematic flow chart of a big data-based insurance service data processing method according to a first embodiment of the present invention, and in this embodiment, the method includes:
step S10, acquiring insurance request data of a target user, and filtering the insurance request data according to a preset insurance service database to obtain a core keyword list;
in this embodiment, the computer device or the server may store all user behavior data records predefined as insurance when the target user uses various web pages or various software, perform data filtering on the stored insurance request data according to the service direction and the service type related to each individual user, and obtain the core keyword list through data filtering processing. For example, the insurance request data can be filtered according to the insurance service database by using an insurance service data processing server tool of the cloud service platform to obtain a full core keyword list and stored in the insurance service data processing server, and when the local server or the computer device needs to call the relevant data, the insurance service data can be directly called from the insurance service data processing server and used.
In actual work, insurance business personnel define all insurance business products related to target users, make a text table, deliver the text table to management personnel, and finally convert the insurance text content of the text table into computer language program codes by the management personnel, specifically, the insurance text content is generally presented in a bottom form of character strings. For example, for a car insurance, the car insurance target user accesses the car insurance software client or the website and records access frequency, time and content, clicks a view button in a page, contacts an insurance advisor button and the like, and then sets a preset character string corresponding to the insurance of the target user into the insurance service database.
Compared with the conventional means corresponding to the technical means in this embodiment, after determining an insurance service or a target user attribute of a target user, all original target user data are backtracked and filtered again, but the data volume of the original target user data is very large and complicated, the efficiency is very affected in the whole process, and if all the original target user data are stored for a long time, the resource occupancy is accumulated to a very terrorist degree. It should be noted that the insurance request data is different from the original target user data, where the original target user data includes some data that cannot or is not suitable for defining insurance, such as target user account data, target user instruction data, text data input by a target user, and various user behavior data that can be defined as insurance, and therefore the insurance request data belongs to the sub-data of the original target user data, that is, a set of various user behavior data that can be defined as insurance.
In an embodiment, specifically referring to fig. 3, for the insurance request data, the step of obtaining the insurance request data of the target user includes:
step S101, determining a current input interface of a user side, and collecting all user behavior data corresponding to the current input interface;
and step S102, acquiring a recording request corresponding to the current input interface, and recording insurance request data corresponding to the recording request in all the user behavior data.
The current input interfaces that are output may be web pages currently viewed by the target user or software user interfaces currently viewed by the target user, because each current input interface implies various target user insurance that may be triggered, such as the following in an application example: the current target user interface of certain software comprises click insurance; the target user clicks the front end of the page by a mouse to recommend insurance; front-end page console responses; software page load insurance, etc. The corresponding situation of the insurance is that the character string is used as the user behavior data corresponding to the current input interface, the aggregate of the data is all the user behavior data, and it needs to be explained that the insurance corresponding to different pages can be repeated but generally can not be completely the same, and the corresponding triggered insurance and the corresponding user behavior data are generally different in quantity.
No matter a target user jumps to any other page from a current input interface through clicking or other commands, all network pages and software user interfaces are determined, and then based on the determination, a record request corresponding to each determined network page or software user interface is made. It should be noted that the record request refers to a request for filtering all user behavior data, that is, not all the acquired insurance request data are recorded, because such a change would cause a large pressure on the load of the system, which would affect the analysis efficiency and also have no help on analyzing the user behavior data, and a specific record request is related to the current dedicated service item of the car insurance, and may also be set according to actual needs, that is, not all the user behavior data of each current input interface are necessarily recorded, for example, corresponding user behavior data of the target user returning to the previous page and exiting all pages may not be recorded, because there is no use even for analyzing the target user behavior dedicated to the current item.
In this embodiment, all user behavior data in the original target user data can be screened and filtered to obtain all insurance data most useful for the currently addressed project, i.e. insurance request data to be recorded, so as to enhance the attentiveness of data processing, thereby improving the speed of data processing.
Step S20, when receiving the insurance service recommendation instruction of the target user input by the user terminal, determining the insurance service type corresponding to the insurance service recommendation instruction of the target user in the preset user insurance service;
after the target user has been personalized or defaulted with preset target user insurance services (target user attributes), the preset target user insurance services may be directly selected or recommended to the current target user insurance services on a visual interface, and any target user insurance service is selected based on a target user insurance service list presented by a plurality of preset target user insurance services, that is, the system may consider that the corresponding insurance service recommendation instruction of the target user is input, and determine the preset target user insurance service selected by the target user.
In an embodiment, before the step of determining, in the preset user insurance service, the insurance service type corresponding to the insurance service recommendation instruction of the target user when the insurance service recommendation instruction of the target user input by the user side is received, the method includes:
acquiring the insurance type, the insurance times, the insurance participating duration and the insurance product name of a target user who participates in insurance, and storing the insurance type, the insurance times, the insurance participating duration and the insurance product name of the target user as historical insurance participating data of the target user.
The preset target user insurance business can be configured in a visual and visual mode for the target user. The target user may directly select one insurance in the border option corresponding to the "trigger insurance", and may select all the insurance stored in the core keyword list in the border option. The term "trigger insurance" used herein refers to an insurance type. The insurance types here can be various page access insurance, network interface insurance, and various buried point insurance and non-buried point insurance. The target user may then also configure the number of insures, such as at least 3. In addition, when configuring the target user insurance service, a plurality of insurance types can be input by clicking to add insurance. And finally, setting the minimum activity duration of the target user, namely the participation duration of the target user, for example, 10 minutes, reserving the participation target user which is more than or equal to the participation duration of the target user, inputting the name of the participation product at will, meeting the personalized requirements of the target user to the maximum extent, clicking to determine after setting the above contents, automatically generating the insurance service of the target user without specially configuring the underlying computer code by the target user, and storing the generated insurance service of the target user in a server table to form the insurance service table of the target user. Great convenience is brought to target users. Or clicking cancel, the target user insurance service configuration interface can be exited.
Step S30, according to the determined insurance business type, counting the number of keywords in the core keyword list contained in each insurance business product in the insurance business type, and sequencing the insurance business products according to the priority to determine the insurance business target product.
After the target user selects or recommends the insurance service of the target user, determining the current insurance service type, and acquiring all insurance data conforming to the insurance service type in the core keyword list by using the current insurance service type, namely an insurance service target product, for example, an item mark user insurance service is as follows: if the A button element is clicked for more than 3 times in more than 5 minutes, all insurance data with more than 4 times of clicking the A button element in more than 5 minutes are obtained from the full list, and the insurance business target product does not only simply record insurance, which is meaningless, but stores the insurance and the target user information in a core keyword list in an associated manner, so that the characteristics of the target user, such as the living city of the target user, the gender of the target user, the age of the target user and the like, can be known when analyzing the specific insurance. The information of the target user is saved in the core keyword list when acquiring the insurance request data of the target user, or can be saved in the core keyword list before the insurance request data is acquired.
In an embodiment, referring to fig. 4, after the step S30, the method further includes:
The insurance service recommendation instruction comprises an actual target user instruction and a device target user instruction, wherein when the actual target user instruction is received, the actual target user is recommended to a service system target user, namely the actual real target user. When receiving the device target user instruction, the target user insurance data is correspondingly recommended to the device identification target user, namely the device commonly used by one or more real target users is taken as unit statistics. For example, the insurance business target product is filtered again according to the filtering condition, and only filtered insurance data matched with the corresponding character string in the insurance business target product, namely insurance filtering data, is reserved. In addition, it should be noted that other instructions may be added to the insurance service recommendation instruction according to actual needs, for example, different operating systems correspond to different insurance service recommendation instructions: a Unix target user instruction, a Linux target user instruction, and a Windows target user instruction.
In this embodiment, the insurance data corresponding to different target user types are analyzed in a targeted manner, so that the target users and the related technical personnel can be helped to improve the level of the analysis data, and the analysis data is more flexible and diversified.
The insurance business data processing method based on big data of the invention firstly obtains the insurance request data of the target user, the step of filtering the insurance request data according to the preset insurance service database to obtain the core keyword list can filter and sort the insurance request data personally configured by the target user to obtain the corresponding core keyword list for storage before the target user configures various target user insurance services (target user attributes), thereby avoiding the need of re-reading and analyzing and backtracking and filtering all the original data of the target user in large quantity when the request is slightly changed every time, greatly reducing the resource occupancy rate during each data processing, meanwhile, the data processing efficiency is improved, so that the required insurance data are presented in a list form, and the insurance data can be read and analyzed. And determining the insurance service type corresponding to the insurance service recommendation instruction of the target user in the preset user insurance service according to the received insurance service recommendation instruction of the target user input by the user side, so that the target user can randomly change an analysis request when analyzing the insurance data of the target user, all insurance data in the core keyword list can be conveniently analyzed, the behavior of the target user can be analyzed more flexibly, the target user is not limited to the specific insurance service of the target user, and even the common target user without development experience can easily take the place of the user and apply the user. And finally, counting the number of keywords in the core keyword list contained in each insurance service product in the insurance service types according to the determined insurance service types, sequencing the insurance service products according to the priority, and determining the insurance service target products.
Further, a second embodiment of the insurance business data processing method based on big data according to the present invention is proposed based on the first embodiment of the insurance business data processing method based on big data according to the present invention, and in this embodiment, referring to fig. 5, the step S30 includes:
step S303, determining a product priority statistic template corresponding to the insurance business type according to the determined insurance business type;
step S304, extracting keyword fields contained in each insurance service product in the insurance service type, and loading the keyword fields to the product priority statistical template to obtain insurance service product characteristic data;
step S305, carrying out priority sequencing according to the proportion of the insurance service product characteristic data in the insurance service products, and obtaining the insurance service target products corresponding to the insurance service recommendation instruction.
In a preset query statement template mapping table, an insurance type corresponding to an insurance service type and a product priority statistical template are stored in a correlated manner, and when the insurance service type is determined, a structured query statement can be obtained from the mapping table. For example, if the insurance service type is that the insurance participating target user whose insurance participating duration exceeds 10 minutes browses the web page more than 5 times, the extracted insurance type is 'browse the web page', the corresponding product priority statistic template is determined, the keyword fields contained in the insurance service products in the insurance service type are extracted, and the keyword fields are loaded to the content to be loaded in the product priority statistic template, so that the characteristic data of the insurance service products is obtained.
After the insurance business product characteristic data is obtained through automatic loading, the insurance business target product can be inquired in the core keyword list through the insurance business product characteristic data, and the inquired insurance business target product is presented to a target user or a related development technician for specific target user behavior analysis.
In the embodiment, the target user does not need to understand or skillfully master the structured query statement to query and acquire the data, the insurance business of the target user is simply configured on the visual request configuration interface, the structured query statement can be automatically generated according to the insurance business of the target user, and the insurance business target product can be found according to the structured query statement.
In one embodiment, referring to fig. 6, after step S30 and also after step S305, the method includes:
step S306, when receiving an insurance service recommendation instruction input by a user side, converting the insurance service target product into visual data which corresponds to the recommendation instruction and is sorted according to the priority.
In this embodiment, the recommendation instruction also refers to various analysis instructions, such as an analysis instruction including a trend analysis instruction, a usage proportion analysis instruction, a regional distribution analysis instruction, and the like. According to different analysis instructions, the corresponding visualization model is different, wherein the visualization model is an icon model. For example, the insurance business target product is mainly converted into an intuitive map area model through a regional distribution analysis instruction, so that targeted user in each region can be analyzed region by region. And the visualization model corresponding to the proportion analysis instruction can be a pie chart or a bar chart and the like.
By the embodiment, insurance business target products with poor readability can be converted into various visual data, multi-dimensional analysis of target user behaviors by a target user is greatly facilitated, and analysis efficiency is improved.
After the step of obtaining insurance filtering data corresponding to the filtering condition in the insurance business target product, the method comprises the following steps:
step S307, when receiving an insurance service recommendation instruction input by a user side, converting the insurance filtering data into visual data which is corresponding to the recommendation instruction and is sorted according to priority.
Similarly, the specific expanding step of step S307 can refer to the above embodiments, and is not described herein again.
As shown in fig. 7, fig. 7 is a frame structure diagram of an insurance service data processing system based on big data according to the insurance service data processing method based on big data of the present invention. In addition, the present invention further provides an insurance business data processing system based on big data, which includes:
the data processing module 400 is configured to obtain insurance request data of a target user, and filter the insurance request data according to a preset insurance service database to obtain a core keyword list;
the product determination module 500 is configured to determine, in a preset user insurance service, an insurance service type corresponding to the insurance service recommendation instruction of the target user when the insurance service recommendation instruction of the target user input by the user side is received; and according to the determined insurance service type, counting the number of keywords in the core keyword list contained in each insurance service product in the insurance service type, sequencing the insurance service products according to the priority, and determining the insurance service target product.
In some embodiments of the present application, the data processing module 400 comprises:
a data obtaining module 401, configured to obtain insurance request data of a target user;
and the keyword extraction module 402 is configured to read the insurance request data, perform filtering processing according to a preset insurance service database, extract core keywords included in the insurance request data, and form a core keyword list.
In some embodiments of the present application, the product determination module 500 comprises:
the type determining module 501 is configured to receive an insurance service recommendation instruction of the target user input by a user side, and determine an insurance service type corresponding to the insurance service recommendation instruction of the target user in preset user insurance services;
a product sorting module 502, configured to count, according to the determined insurance service types, the number of keywords in the core keyword list included in each insurance service product in the insurance service types, and sort the insurance service products according to priorities, so as to determine an insurance service target product.
In some embodiments of the present application, the product determination module 500 is further configured to:
determining a product priority statistic template corresponding to the insurance business type according to the determined insurance business type;
extracting keyword fields contained in each insurance service product in the insurance service type, and loading the keyword fields to the product priority statistical template to obtain insurance service product characteristic data;
and performing priority sequencing according to the occupation ratio of the insurance service product characteristic data in the insurance service products to obtain the insurance service target products corresponding to the insurance service recommendation instruction.
In some embodiments of the application, the product determination module 500 is further configured to:
acquiring the insurance type, the insurance frequency, the insurance participation duration of the target user and the insurance participation product name of the target user, and storing the insurance type, the insurance frequency, the insurance participation duration of the target user and the insurance participation product name as historical insurance participation data of the target user.
In some embodiments of the present application, the product determination module 500 is further configured to:
and when receiving an insurance service recommendation instruction input by a user side, converting the insurance service target product into visual data which corresponds to the recommendation instruction and is sorted according to priority.
In some embodiments of the present application, the product determination module 500 is further configured to:
receiving an insurance service recommendation instruction input by a target user, and determining a filtering condition corresponding to the insurance service recommendation instruction;
and acquiring insurance filtering data corresponding to the filtering condition in the insurance business target product according to the filtering condition.
In some embodiments of the application, the product determination module 500 is further configured to:
and when receiving an insurance service recommendation instruction input by a user side, converting the insurance filtering data into visual data which corresponds to the recommendation instruction and is sorted according to priority.
In some embodiments of the present application, the data processing module 400 is further configured to:
determining a current input interface of a user terminal, collecting all user behavior data corresponding to the current input interface,
and acquiring a recording request corresponding to the current input interface, and recording insurance request data corresponding to the recording request in all the user behavior data.
The specific implementation of the insurance business data processing system based on big data in the invention is basically the same as the embodiments of the insurance business data processing method based on big data, and the details are not repeated here.
In addition, the present invention also provides a computer device, which includes a memory, a processor and an insurance business data processing program based on big data stored on the memory and operable on the processor, and the processor implements the steps of the insurance business data processing method based on big data according to the above embodiment when executing the insurance business data processing program based on big data.
The specific implementation of the computer device of the present invention is basically the same as the embodiments of the insurance business data processing method based on big data, and will not be described herein again.
In an embodiment of the present application, the computer device includes a user device and a network device. Wherein the user equipment includes but is not limited to computers, smart phones, PDAs, etc.; the network device includes, but is not limited to, a single network server, a server group consisting of a plurality of network servers, or a Cloud Computing (Cloud Computing) based Cloud consisting of a large number of computers or network servers, wherein Cloud Computing is one of distributed Computing, a super virtual computer consisting of a collection of loosely coupled computers. The computer equipment can be independently operated to realize the application, and can also be accessed into a network to realize the application through the interactive operation with other computer equipment in the network. The network where the computer device is located includes, but is not limited to, the internet, a wide area network, a metropolitan area network, a local area network, a VPN network, and the like.
Furthermore, the present invention also provides a readable storage medium, which may be a computer readable storage medium, and includes a big data-based insurance service data processing program, and when the big data-based insurance service data processing program is executed by a processor, the steps of the big data-based insurance service data processing method according to the above embodiment are implemented.
The specific implementation manner of the readable storage medium of the present invention is substantially the same as that of each embodiment of the insurance business data processing method based on big data, and is not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory.
In summary, the insurance business data processing method and system based on big data in the invention, by obtaining the insurance request data of the target user, the insurance request data are filtered according to the preset insurance service database to obtain a core keyword list, the insurance request data configured by the target user person can be filtered and sorted to obtain the corresponding core keyword list before the target user configures various target user insurance services, the phenomenon that a large amount of original data of the target user needs to be read again, analyzed and backtracked and filtered when the request is slightly changed every time is avoided, the resource occupancy rate during each data processing is greatly reduced, meanwhile, the data processing efficiency is improved, so that the required insurance data are presented in a list form, and the insurance data can be read and analyzed.
And determining the insurance service type corresponding to the insurance service recommendation instruction of the target user in the preset user insurance service through the received insurance service recommendation instruction of the target user input by the user side, so that the target user can randomly change an analysis request when analyzing the insurance data of the target user, all insurance data in the core keyword list can be conveniently analyzed, the behavior of the target user can be analyzed more flexibly, the analysis is not limited to the specific insurance service of the target user, and even the target user without development experience can easily take the place and apply the analysis. And finally, counting the number of keywords in the core keyword list contained in each insurance service product in the insurance service types according to the determined insurance service types, sequencing the insurance service products according to the priority, and determining the insurance service target products.
Although the embodiment of the present invention has been shown and described, the scope of the present invention is not limited thereto, it should be understood that the above embodiment is illustrative and not to be construed as limiting the present invention, and that those skilled in the art can make changes, modifications and substitutions to the above embodiment within the scope of the present invention, and that these changes, modifications and substitutions should be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. An insurance business data processing method based on big data is characterized by comprising the following steps:
step one, acquiring insurance request data of a target user, and filtering the insurance request data according to a preset insurance service database to obtain a core keyword list;
the step of obtaining insurance request data of the target user comprises the following steps:
determining a current input interface of a user side, and collecting all user behavior data corresponding to the current input interface;
acquiring a recording request corresponding to the current input interface, and recording insurance request data corresponding to the recording request in all the user behavior data;
step two, when receiving the insurance service recommendation instruction of the target user input by the user side, determining the insurance service type corresponding to the insurance service recommendation instruction of the target user in the preset user insurance service;
thirdly, according to the determined insurance service types, counting the number of keywords in the core keyword list contained in each insurance service product in the insurance service types, sequencing the insurance service products according to the priority, and determining the insurance service target products;
after the step of obtaining the insurance service target product corresponding to the keyword and the insurance service type in the core keyword list, the method further comprises the following steps:
receiving an insurance service recommendation instruction input by a target user, and determining a filtering condition corresponding to the insurance service recommendation instruction;
acquiring insurance filtering data corresponding to the filtering condition in the insurance business target product according to the filtering condition;
after the step of obtaining insurance filtering data corresponding to the filtering condition in the insurance business target product, the method comprises the following steps:
when receiving an insurance service recommendation instruction input by a user side, converting the insurance filtering data into visual data which corresponds to the recommendation instruction and is sorted according to priority;
in step three, according to the determined insurance service type, counting the number of keywords in the core keyword list contained in each insurance service product in the insurance service type, and sequencing the insurance service products according to priority to determine the insurance service target product, including:
determining a product priority statistical template corresponding to the insurance business type according to the determined insurance business type;
extracting keyword fields contained in each insurance service product in the insurance service type, and loading the keyword fields to the product priority statistical template to obtain insurance service product characteristic data;
and performing priority sequencing according to the occupation ratio of the insurance service product characteristic data in the insurance service products to obtain the insurance service target products corresponding to the insurance service recommendation instruction.
2. The insurance service data processing method based on big data according to claim 1, wherein before the step of determining the insurance service type corresponding to the insurance service recommendation instruction of the target user in the preset user insurance services when receiving the insurance service recommendation instruction of the target user input by the user side, the method comprises:
acquiring the insurance type, the insurance times, the insurance participating duration and the insurance product name of a target user who participates in insurance, and storing the insurance type, the insurance times, the insurance participating duration and the insurance product name of the target user as historical insurance participating data of the target user.
3. The insurance business data processing method based on big data according to claim 1, wherein the step of counting the number of keywords in the core keyword list included in each insurance business product in the insurance business type according to the determined insurance business type, sorting insurance business products according to priority, and determining insurance business target products comprises the following steps:
and when receiving an insurance service recommendation instruction input by a user side, converting the insurance service target product into visual data which corresponds to the recommendation instruction and is sorted according to priority.
4. A big-data-based insurance business data processing system to which the method of claim 1 is applied, wherein the big-data-based insurance business data processing system comprises:
the data processing module is used for acquiring insurance request data of a target user, and filtering the insurance request data according to a preset insurance service database to obtain a core keyword list;
the product determination module is used for determining an insurance service type corresponding to the insurance service recommendation instruction of the target user in preset user insurance services when receiving the insurance service recommendation instruction of the target user input by the user side; and according to the determined insurance service type, counting the number of keywords in the core keyword list contained in each insurance service product in the insurance service type, sequencing the insurance service products according to the priority, and determining the insurance service target product.
5. The big-data based insurance service data processing system according to claim 4, wherein the data processing module comprises:
the data acquisition module is used for acquiring insurance request data of a target user;
and the keyword extraction module is used for reading the insurance request data, filtering according to a preset insurance service database, extracting core keywords contained in the insurance request data and forming a core keyword list.
6. The big-data based insurance business data processing system of claim 5, wherein the product determination module comprises:
the type determining module is used for receiving the insurance service recommending instruction of the target user input by the user side and determining the insurance service type corresponding to the insurance service recommending instruction of the target user in the preset user insurance service;
and the product sorting module is used for counting the number of the keywords in the core keyword list contained in each insurance service product in the insurance service types according to the determined insurance service types, and sorting the insurance service products according to the priority to determine the insurance service target products.
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| CN109300021A (en) * | 2018-11-29 | 2019-02-01 | 爱保科技（横琴）有限公司 | Insure recommended method and device |
| WO2021004121A1 (en) * | 2019-07-05 | 2021-01-14 | 深圳壹账通智能科技有限公司 | Vehicle insurance recommendation method, apparatus and device, and computer-readable storage medium |
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| US10372736B2 (en) * | 2013-05-16 | 2019-08-06 | University Of Utah Research Foundation | Generating and implementing local search engines over large databases |
| CN109711997A (en) * | 2018-08-20 | 2019-05-03 | 平安普惠企业管理有限公司 | Insurance business method for pushing, device, equipment and readable storage medium storing program for executing |
| CN110033382B (en) * | 2019-02-12 | 2020-09-04 | 阿里巴巴集团控股有限公司 | Insurance service processing method, device and equipment |
| CN114117223A (en) * | 2021-11-29 | 2022-03-01 | 泰康保险集团股份有限公司 | Insurance recommendation method, device, equipment and medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109300021A (en) * | 2018-11-29 | 2019-02-01 | 爱保科技（横琴）有限公司 | Insure recommended method and device |
| WO2021004121A1 (en) * | 2019-07-05 | 2021-01-14 | 深圳壹账通智能科技有限公司 | Vehicle insurance recommendation method, apparatus and device, and computer-readable storage medium |
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