CN111915396A - Product recommendation method, device, system and storage medium - Google Patents
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Abstract
The application relates to a product recommendation method, device, system and storage medium, the method comprises obtaining customer coding information; carrying out data communication with a plurality of servers to acquire first insurance information corresponding to the client coding information; analyzing the acquired first insurance information to obtain characteristic group information, wherein the characteristic group information comprises category information and price information, and the number of the characteristic group information is one or more; carrying out data communication with the plurality of servers again according to the characteristic group information to obtain second insurance information associated with the characteristic group information, wherein the second insurance information is multiple in number; and generating selection information. The device and the system recommend the product by using the method, and a code corresponding to the product recommending method is stored in the computer readable storage medium. The method and the device are used for product retrieval, and are beneficial to shortening of query time and providing better user experience.
Description
Technical Field
The present application relates to the field of data processing technologies, and in particular, to a method, an apparatus, a system, and a storage medium for recommending a product.
Background
The car insurance sales is one of the main businesses of 4S stores, and the problem of repeated switching and repeated inquiry among a plurality of inquiry systems often occurs in the process of serving customers, because the insurance of the customers is purchased from different organizations, the customers need to know the previous purchase information and then make targeted recommendation, but in the case that the customers cannot provide accurate information, the inquiry process takes a lot of time.
Disclosure of Invention
The application provides a product recommendation method, device, system and storage medium, which are beneficial to shortening query time and providing better user experience.
The above object of the present application is achieved by the following technical solutions:
in a first aspect, the present application provides a product recommendation method, including:
acquiring client coding information;
carrying out data communication with a plurality of servers to acquire first insurance information corresponding to the client coding information;
analyzing the acquired first insurance information to obtain characteristic group information, wherein the characteristic group information comprises category information and price information, and the number of the characteristic group information is one or more;
carrying out data communication with the plurality of servers again according to the characteristic group information to obtain second insurance information associated with the characteristic group information, wherein the second insurance information is multiple in number; and
selection information is generated, wherein the selection information comprises first insurance information and a plurality of second insurance information associated with the first insurance information.
By adopting the technical scheme, the insurance information purchased by the client can be inquired according to the client coding information related to the client, then the insurance information is inquired in a plurality of servers, namely product information of a plurality of insurance companies, and finally a piece of selection information is generated according to the inquired information, wherein the selection information contains the insurance purchased by the client and the insurance similar to the insurance, so that more choices can be provided for the client, and the whole inquiry process does not need to be switched among a plurality of different systems, thereby shortening the inquiry time, providing rich inquiry results and providing better experience for the client.
In a preferred example of the first aspect, the method further includes:
acquiring interval information corresponding to the price information; and
and carrying out data communication with a plurality of servers according to the interval information to obtain second insurance information associated with the first insurance information, wherein the price information in the second insurance information is within the range of the interval information.
By adopting the technical scheme, more accurate product information can be acquired according to the price range, more accurate product recommendation can be conveniently carried out on the client, and the use experience of the client is further improved.
In a preferred example of the first aspect, the method further includes: carrying out data communication with a plurality of servers through the acquired customer code information to acquire the insurance information corresponding to the customer code information;
obtaining first recommendation information associated with the client coding information according to the insurance information, wherein the first recommendation information comes from a plurality of servers;
screening the first recommendation information according to the first insurance information to obtain unpurchased information associated with the customer code information; and
non-purchase information is inserted into the selection information.
By adopting the technical scheme, insurance information which is actually in danger but not purchased by the customer can be acquired, and then accurate recommendation is carried out on the customer.
In a preferred example of the first aspect, the method further includes:
acquiring vehicle type information corresponding to the client code information according to the client code information;
acquiring second insurance information associated with the vehicle type information according to the vehicle type information, wherein the second insurance information comes from a plurality of servers;
comparing the second insurance information with the first insurance information, and screening out the part different from the first insurance information to obtain third insurance information; and
the third insurance information is inserted into the selection information.
By adopting the technical scheme, the vehicle type information can be recommended according to the vehicle type information of the client, so that the selection of the client is richer, and the user experience is favorably improved.
In a second aspect, the present application provides a product recommendation device, comprising:
a first obtaining unit for obtaining the client code information;
the second acquisition unit is used for carrying out data communication with the plurality of servers and acquiring first insurance information corresponding to the client coding information;
the third acquisition unit is used for analyzing the acquired first insurance information to obtain characteristic group information, wherein the characteristic group information comprises category information and price information, and the number of the characteristic group information is one or more;
the fourth acquisition unit is used for carrying out data communication with the plurality of servers again according to the characteristic group information to acquire a plurality of second insurance information associated with the characteristic group information; and
the information processing apparatus includes a generating unit configured to generate selection information including first insurance information and a plurality of second insurance information associated with the first insurance information.
By adopting the technical scheme, the insurance information purchased by the client can be inquired according to the client coding information related to the client, then the insurance information is inquired in a plurality of servers, namely product information of a plurality of insurance companies, and finally a piece of selection information is generated according to the inquired information, wherein the selection information contains the insurance purchased by the client and the insurance similar to the insurance, so that more choices can be provided for the client, and the whole inquiry process does not need to be switched among a plurality of different systems, thereby shortening the inquiry time, providing rich inquiry results and providing better experience for the client.
In a preferred example of the second aspect, the method further includes:
a fifth acquiring unit configured to acquire section information corresponding to the price information; and
and the sixth acquisition unit is used for carrying out data communication with the plurality of servers according to the interval information and acquiring second insurance information associated with the first insurance information, wherein the price information in the second insurance information is within the range of the interval information.
By adopting the technical scheme, more accurate product information can be acquired according to the price range, more accurate product recommendation can be conveniently carried out on the client, and the use experience of the client is further improved.
In a preferred example of the second aspect, the method further includes:
the sixth acquisition unit is used for carrying out data communication with the plurality of servers through the acquired client code information and acquiring the insurance information corresponding to the client code information;
a seventh obtaining unit, configured to obtain, according to the offer information, first recommendation information associated with the client code information, where the first recommendation information is from multiple servers;
the first screening unit is used for screening the first recommendation information according to the first insurance information to obtain unpurchased information associated with the customer code information; and
a first inserting unit for inserting the non-purchase information into the selection information.
By adopting the technical scheme, insurance information which is actually in danger but not purchased by the customer can be acquired, and then accurate recommendation is carried out on the customer.
In a preferred example of the second aspect, the method further includes:
an eighth acquiring unit configured to acquire vehicle type information corresponding to the customer code information based on the customer code information;
a ninth acquiring unit, configured to acquire, according to vehicle type information, second insurance information associated with the vehicle type information, where the second insurance information is from multiple servers;
the second screening unit is used for comparing the second insurance information with the first insurance information and screening out the part different from the first insurance information to obtain third insurance information; and
and a second inserting unit for inserting the third insurance information into the selection information.
By adopting the technical scheme, the vehicle type information can be recommended according to the vehicle type information of the client, so that the selection of the client is richer, and the user experience is favorably improved.
In a third aspect, the present application provides a product recommendation system, the system comprising:
one or more memories for storing instructions; and
one or more processors configured to invoke and execute the instructions from the memory to perform any of the product recommendation methods as described in the first aspect and the preferred examples of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium comprising:
a program for performing any one of the product recommendation methods as described in the first aspect and the preferred examples of the first aspect when the program is executed by a processor.
In a fifth aspect, the present application provides a computer program product comprising program instructions for performing any of the product recommendation methods described in the first aspect and the preferred examples of the first aspect when the program instructions are executed by a computing device.
In a sixth aspect, the present application provides a system on a chip comprising a processor configured to perform the functions recited in the above aspects, such as generating, receiving, sending, or processing data and/or information recited in the above methods.
In one possible design, the system-on-chip further includes a memory for storing necessary program instructions and data. The chip system may be formed by a chip, or may include a chip and other discrete devices. The processor and the memory may be decoupled, disposed on different devices, connected in a wired or wireless manner, or coupled on the same device.
Drawings
Fig. 1 is a schematic block flow diagram of a method provided in an embodiment of the present application.
Fig. 2 is a schematic flow chart given based on fig. 1.
Fig. 3 is a schematic block diagram of a flow of price query according to an embodiment of the present application.
Fig. 4 is a schematic block diagram of a flow of unpurchased information query according to an embodiment of the present application.
Fig. 5 is a schematic flow chart given based on fig. 4.
Fig. 6 is a schematic block diagram of a process of generating third insurance information according to an embodiment of the present application.
Fig. 7 is a schematic flow chart given based on fig. 6.
Fig. 8 is a schematic diagram of a user interface provided in an embodiment of the present application.
Detailed Description
The technical solutions in the present application will be described in further detail below with reference to the accompanying drawings.
The technical scheme shown in the application is mainly used for the 4S shop service staff to carry out insurance service on the customer, more information can be obtained in a short time, and better user experience is provided for the customer, referring to fig. 1, the product recommendation method disclosed by the embodiment of the application comprises the following steps:
s101, acquiring client coding information;
s102, carrying out data communication with a plurality of servers to obtain first insurance information corresponding to the client coding information;
s103, analyzing the acquired first insurance information to obtain characteristic group information, wherein the characteristic group information comprises category information and price information, and the number of the characteristic group information is one or more;
s104, performing data communication with the plurality of servers again according to the characteristic group information to acquire a plurality of second insurance information associated with the characteristic group information; and
and S105, generating selection information, wherein the selection information comprises first insurance information and a plurality of second insurance information related to the first insurance information.
The content in step S101 is to obtain information related to the customer, where the information may be an identification number, a product contract number that has been purchased, a service number, an invoice number, or the like, which can form a strong association with the customer, so as to enable accurate query in multiple servers.
It should be understood that the usage scenario of the method is precise retrieval, and therefore, the method is essentially different from the fuzzy retrieval, and accurate information must be provided to be able to continue the following steps.
The content in step S102 is retrieved from a plurality of servers according to the client code information obtained in step S101, and it should be understood that these servers belong to different companies and may be understood as belonging to different server groups, rather than in the same server group, that is, there is no correlation between any two servers.
By searching in these servers, first insurance information corresponding to the customer's coded information, which is the insurance that the customer has purchased, can be obtained. The inquiry mode does not need a customer to provide detailed purchase information, and meanwhile, service personnel do not need to inquire in a plurality of insurance inquiry systems, so that the inquiry time can be effectively shortened.
Assuming an application scenario, a client can only recall part of purchase information, and for a service person, switching between inquiry systems of different insurance companies is required, data of each insurance company is certainly not communicated, so that multiple searches are required to obtain required information, and obviously, the experience of the method is poor for both the service person and the client.
When the technical scheme provided by the embodiment of the application is used for searching, only one piece of key information needs to be provided by a client, the client can automatically search in the query systems of a plurality of insurance companies to obtain the needed information, the query time is short, and the experience sense is better.
Referring to fig. 2, in step S103, the first insurance information acquired in step S102 is analyzed to obtain feature group information, which is used as search information during a search and includes two parts, namely category information corresponding to an insurance category and price information corresponding to a sale price.
The number of the feature group information is determined according to the number of the first insurance information, and the first insurance information are the same in number, namely, each first insurance information corresponds to one feature group information. It should be understood that the number of first insurance information is also uncertain, either one or more, since the client may purchase one or more insurance.
And respectively carrying out related search on different first insurance information according to the characteristic group information related to the first insurance information.
In step S104, data communication is performed with a plurality of servers according to the feature group information, second insurance information associated with the feature group information is retrieved, and the associated second insurance information is generated, where the number of the second insurance information is plural.
It should be appreciated that similar products will appear for most products from each home, and thus the second insurance information associated with the first insurance information can be found in a different server. The purpose of this search mode is to provide more choices for the customer, and the customer can choose whether to renew or replace the insurance service of other companies according to the price and product introduction.
It should also be understood that, if the number of the characteristic group information is plural, for the second insurance information, it is divided into a plurality of groups, the number of the groups is the same as the number of the characteristic group information, and the number of the second insurance information in each group is plural.
Then step S105 is executed, the content in step S105 is to generate selection information, the selection information is for service personnel and customers, for the service personnel, the insurance purchase condition of the customers can be known, the information grasping is more comprehensive, for the customers, the insurance purchased by the customers and the related recommendation information can be known, and the selection range is richer.
The selection information is composed of two parts of first insurance information and a plurality of second insurance information associated with the first insurance information, wherein the first insurance information is purchased by the customer, and the second insurance information is a selection range provided for the customer.
It should be understood that when the number of the first insurance information is plural, the second insurance information has plural groups, the number of the groups is the same as the number of the first insurance information, and the number of the second insurance information in each group is plural.
From the perspective of the customer, the user can know the insurance bought by the user and the insurance similar to the insurance, namely, the user can select to continue the insurance and also can select to replace the insurance, so that the user experience is more perfect.
Referring to fig. 3, as a specific embodiment of the display content identification method provided by the application, a method for screening second insurance information is optimized, and the method mainly includes the following steps:
s201, acquiring interval information corresponding to the price information; and
s202, performing data communication with a plurality of servers according to the interval information to acquire second insurance information associated with the first insurance information, wherein price information in the second insurance information is within the range of the interval information.
In step S201, interval information corresponding to price information is obtained, the price information is located between the interval information, and for some price-sensitive customers, second insurance information meeting the requirements of the customers can be screened out for recommendation, so that the recommendation accuracy is higher.
In addition, the generated selection information can be screened by setting the interval information, so that the second insurance information which is more in line with the expectation of the client can be screened, namely, the price screening can be performed in the initial searching process or the subsequent recommending process.
Referring to fig. 4 and 5, as an embodiment of the display content identification method provided by the application, a relevant recommendation is also made for a potential purchase of a customer, and the specific steps are as follows:
s301, performing data communication with a plurality of servers through the acquired customer code information to acquire the insurance information corresponding to the customer code information;
s302, obtaining first recommendation information related to client coding information according to the insurance information, wherein the first recommendation information is from a plurality of servers;
s303, screening the first recommendation information according to the first insurance information to obtain unpurchased information associated with the customer code information; and
s304, the unpurchased information is inserted into the selection information.
The content in step S301 is mainly to obtain the insurance information of the customer, and then perform association according to the insurance information to obtain the first recommendation information associated with the customer, that is, the content in step S302, for example:
XX insurance, corresponding to theft;
XX insurance, corresponding to accidental fire;
XX insurance, corresponding loss;
……
for the insurance, if the client has the above situations, the insurance may have potential purchasing intention, the purchased first insurance information is the first insurance information in the content, and the inquired first recommendation information needs to be screened according to the first recommendation information, and the part which is not purchased by the client is screened out and marked as unpurchased information.
For the unpurchased information obtained in step S303, it is necessary to simultaneously display the unpurchased information to the customer and the service staff, so as to facilitate recommendation to the customer.
Meanwhile, the unpurchased information is also from different servers, namely from multiple insurance companies, so that more choices can be provided for the client. If there are multiple categories in the unpurchased information, they also need to be classified, with the same category placed in one area.
Step S304 is to insert the obtained unpurchased information into the selection information for presentation to the customer and the service person.
In order to further expand the scope of recommendation, please refer to fig. 6 and fig. 7, as a specific embodiment of the display content identification method provided by the application, the following contents are added:
s401, acquiring vehicle type information corresponding to the customer code information according to the customer code information;
s402, acquiring second insurance information related to the vehicle type information according to the vehicle type information, wherein the second insurance information is from a plurality of servers;
s403, comparing the second insurance information with the first insurance information, and screening out a part different from the first insurance information to obtain third insurance information; and
s404, inserting the third insurance information into the selection information.
In step S401, vehicle type information corresponding to the customer code information is obtained according to the customer code information, where the vehicle type information is a vehicle that the customer needs to purchase insurance or needs, and if there are a plurality of queried vehicles, the vehicle needs to be listed first, and subsequent steps are performed after selection.
In step S402, a search is performed according to the selected vehicle type information to obtain second insurance information associated with the vehicle type information, where it should be noted that the second insurance information is associated with the vehicle type, but not with the customer, and the specific association may be embodied by:
vehicle holding capacity: the quantity of the vehicle type in the designated area;
insurance purchase: the owner of the vehicle purchases what insurance;
the proportion of each insurance: the proportion of each insurance in the total insurance;
the vehicle holding amount directly reflects the use of the vehicle, and the larger the holding amount is, the higher the market acceptance degree and the recognition degree of the vehicle type are; the insurance purchase reflects which insurance the car owner purchases, has a certain reference value, and can be selected according to the experience of others; the proportion of each insurance indicates the purchase intention of the vehicle owner, and the higher the proportion is, the guarantee or potential guarantee of the insurance can be accepted by the market to a certain extent.
The above information is from multiple servers, that is, the data sources are from multiple insurance companies, and the specific display mode may be divided into different companies for display, or may be displayed after simple calculation, where the calculation is calculation of addition and division with data, and is not described here again.
Step S403 is to screen the results obtained in step S402 to select the part that the customer did not purchase, that is, the third insurance information, and then step S404 is executed to insert the third insurance information into the selection information to show the customer and the service staff.
Referring to fig. 8, it should be understood that the direct display of the unpurchased information and the third insurance information into the selected information is an additional added action that can advance part of the potential purchase possibilities, so that the client can see the information when inquiring about the insurance information related to the client, and the probability of communication or inquiry with the service staff is increased, thereby increasing the possibility of purchase to some extent.
The embodiment of the application also discloses a product recommendation device, including:
a first obtaining unit for obtaining the client code information;
the second acquisition unit is used for carrying out data communication with the plurality of servers and acquiring first insurance information corresponding to the client coding information;
the third acquisition unit is used for analyzing the acquired first insurance information to obtain characteristic group information, wherein the characteristic group information comprises category information and price information, and the number of the characteristic group information is one or more;
the fourth acquisition unit is used for carrying out data communication with the plurality of servers again according to the characteristic group information to acquire a plurality of second insurance information associated with the characteristic group information; and
the information processing apparatus includes a generating unit configured to generate selection information including first insurance information and a plurality of second insurance information associated with the first insurance information.
In one example, the units in any of the above apparatuses may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more Digital Signal Processors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), or a combination of at least two of these integrated circuit forms. As another example, when a unit in a device may be implemented in the form of a processing element scheduler, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of invoking programs. As another example, these units may be integrated together and implemented in the form of a system-on-a-chip (SOC).
Further, the following are also added: a fifth acquiring unit configured to acquire section information corresponding to the price information; and
and the sixth acquisition unit is used for carrying out data communication with the plurality of servers according to the interval information and acquiring second insurance information associated with the first insurance information, wherein the price information in the second insurance information is within the range of the interval information.
Further, the following are also added: the sixth acquisition unit is used for carrying out data communication with the plurality of servers through the acquired client code information and acquiring the insurance information corresponding to the client code information;
a seventh obtaining unit, configured to obtain, according to the offer information, first recommendation information associated with the client code information, where the first recommendation information is from multiple servers;
the first screening unit is used for screening the first recommendation information according to the first insurance information to obtain unpurchased information associated with the customer code information; and
a first inserting unit for inserting the non-purchase information into the selection information.
Further, the following are also added: an eighth acquiring unit configured to acquire vehicle type information corresponding to the customer code information based on the customer code information;
a ninth acquiring unit, configured to acquire, according to vehicle type information, second insurance information associated with the vehicle type information, where the second insurance information is from multiple servers;
the second screening unit is used for comparing the second insurance information with the first insurance information and screening out the part different from the first insurance information to obtain third insurance information; and
and a second inserting unit for inserting the third insurance information into the selection information.
The embodiment of the application also discloses a product recommendation system, which comprises:
one or more memories for storing instructions; and
one or more processors configured to retrieve and execute the instructions from the memory, and to perform the product recommendation method of any of claims 1-4.
A computer-readable storage medium, the computer-readable storage medium comprising:
a program which, when executed by a processor, causes the product recommendation method as described in the above to be performed.
Various objects such as various messages/information/devices/network elements/systems/devices/actions/operations/procedures/concepts may be named in the present application, it is to be understood that these specific names do not constitute limitations on related objects, and the named names may vary according to circumstances, contexts, or usage habits, and the understanding of the technical meaning of the technical terms in the present application should be mainly determined by the functions and technical effects embodied/performed in the technical solutions.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units 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 units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
It should also be understood that, in various embodiments of the present application, first, second, etc. are used merely to indicate that a plurality of objects are different. For example, the first time window and the second time window are merely to show different time windows. And should not have any influence on the time window itself, and the above-mentioned first, second, etc. should not impose any limitation on the embodiments of the present application.
It is also to be understood that the terminology and/or the description of the various embodiments herein is consistent and mutually inconsistent if no specific statement or logic conflicts exists, and that the technical features of the various embodiments may be combined to form new embodiments based on their inherent logical relationships.
It will be appreciated that the memory in the embodiments of the subject application can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory.
The non-volatile memory may be ROM, Programmable Read Only Memory (PROM), Erasable PROM (EPROM), Electrically Erasable PROM (EEPROM), or flash memory.
Volatile memory can be RAM, which acts as external cache memory. There are many different types of RAM, such as Static Random Access Memory (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), synclink DRAM (SLDRAM), and direct memory bus RAM.
The processor mentioned in any of the above may be a CPU, a microprocessor, an ASIC, or one or more integrated circuits for controlling the execution of the program of the method for transmitting feedback information. The processing unit and the storage unit may be decoupled, and are respectively disposed on different physical devices, and are connected in a wired or wireless manner to implement respective functions of the processing unit and the storage unit, so as to support the system chip to implement various functions in the foregoing embodiments. Alternatively, the processing unit and the memory may be coupled to the same device.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a computer-readable storage medium, which includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned computer-readable storage media comprise: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The embodiments of the present invention are preferred embodiments of the present application, and the scope of protection of the present application is not limited by the embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. A method for recommending products, comprising:
acquiring client coding information;
carrying out data communication with a plurality of servers to acquire first insurance information corresponding to the client coding information;
analyzing the acquired first insurance information to obtain characteristic group information, wherein the characteristic group information comprises category information and price information, and the number of the characteristic group information is one or more;
carrying out data communication with the plurality of servers again according to the characteristic group information to obtain second insurance information associated with the characteristic group information, wherein the second insurance information is multiple in number; and
selection information is generated, wherein the selection information comprises first insurance information and a plurality of second insurance information associated with the first insurance information.
2. The product recommendation method of claim 1, further comprising:
acquiring interval information corresponding to the price information; and
and carrying out data communication with a plurality of servers according to the interval information to obtain second insurance information associated with the first insurance information, wherein the price information in the second insurance information is within the range of the interval information.
3. The product recommendation method according to claim 1 or 2, further comprising:
carrying out data communication with a plurality of servers through the acquired customer code information to acquire the insurance information corresponding to the customer code information;
obtaining first recommendation information associated with the client coding information according to the insurance information, wherein the first recommendation information comes from a plurality of servers;
screening the first recommendation information according to the first insurance information to obtain unpurchased information associated with the customer code information; and
the third insurance information is inserted into the selection information.
4. The product recommendation method according to claim 1 or 2, further comprising:
acquiring vehicle type information corresponding to the client code information according to the client code information;
acquiring second insurance information associated with the vehicle type information according to the vehicle type information, wherein the second insurance information comes from a plurality of servers;
comparing the second insurance information with the first insurance information, and screening out the part different from the first insurance information to obtain third insurance information; and
the third insurance information is inserted into the selection information.
5. A product recommendation device, comprising:
a first obtaining unit for obtaining the client code information;
the second acquisition unit is used for carrying out data communication with the plurality of servers and acquiring first insurance information corresponding to the client coding information;
the third acquisition unit is used for analyzing the acquired first insurance information to obtain characteristic group information, wherein the characteristic group information comprises category information and price information, and the number of the characteristic group information is one or more;
the fourth acquisition unit is used for carrying out data communication with the plurality of servers again according to the characteristic group information to acquire a plurality of second insurance information associated with the characteristic group information; and
the information processing apparatus includes a generating unit configured to generate selection information including first insurance information and a plurality of second insurance information associated with the first insurance information.
6. The product recommendation device of claim 5, further comprising:
a fifth acquiring unit configured to acquire section information corresponding to the price information; and
and the sixth acquisition unit is used for carrying out data communication with the plurality of servers according to the interval information and acquiring second insurance information associated with the first insurance information, wherein the price information in the second insurance information is within the range of the interval information.
7. A product recommendation device as claimed in claim 5 or 6, further comprising:
the sixth acquisition unit is used for carrying out data communication with the plurality of servers through the acquired client code information and acquiring the insurance information corresponding to the client code information;
a seventh obtaining unit, configured to obtain, according to the offer information, first recommendation information associated with the client code information, where the first recommendation information is from multiple servers;
the first screening unit is used for screening the first recommendation information according to the first insurance information to obtain unpurchased information associated with the customer code information; and
a first inserting unit for inserting the non-purchase information into the selection information.
8. A product recommendation device as claimed in claim 5 or 6, further comprising:
an eighth acquiring unit configured to acquire vehicle type information corresponding to the customer code information based on the customer code information;
a ninth acquiring unit, configured to acquire, according to vehicle type information, second insurance information associated with the vehicle type information, where the second insurance information is from multiple servers;
the second screening unit is used for comparing the second insurance information with the first insurance information and screening out the part different from the first insurance information to obtain third insurance information; and
and a second inserting unit for inserting the third insurance information into the selection information.
9. A product recommendation system, the system comprising:
one or more memories for storing instructions; and
one or more processors configured to retrieve and execute the instructions from the memory, and to perform the product recommendation method of any of claims 1-4.
10. A computer-readable storage medium, the computer-readable storage medium comprising:
program which, when executed by a processor, performs a product recommendation method according to any one of claims 1 through 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010717688.0A CN111915396A (en) | 2020-07-23 | 2020-07-23 | Product recommendation method, device, system and storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010717688.0A CN111915396A (en) | 2020-07-23 | 2020-07-23 | Product recommendation method, device, system and storage medium |
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| CN111915396A true CN111915396A (en) | 2020-11-10 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202010717688.0A Pending CN111915396A (en) | 2020-07-23 | 2020-07-23 | Product recommendation method, device, system and storage medium |
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