CN113807919A - Product information pushing method and device - Google Patents
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Abstract
The application provides a method and a device for pushing product information, wherein the method comprises the following steps: determining a product required in a target environment in a preset mode; wherein the preset mode comprises at least one of the following modes: server interface information called by a user terminal, linkage conditions of a plurality of products in a target environment, and behavior data which is generated by the user terminal and is associated with the products and is acquired in a data embedding mode; calling a product corresponding to the server interface each time; and pushing the product information of the product to the user terminal. Through the application, the technical problem that information pushing cannot be carried out according to the use habits of users and the product preservation conditions in the prior art, and the pushed information is inaccurate is solved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to a method and an apparatus for pushing product information.
Background
With the continuous popularization of the internet of things technology, more and more intelligent household products are moved into the homes of general consumers. The intelligent product has multiple functions and is connected with the server in an online state for a long time, and a supply and demand communication channel is formed between a consumer and a manufacturer. How to utilize the intelligent products already in use to recommend more devices to users to meet the needs of the users is a problem that those skilled in the art pay close attention to. In the prior art, the technical problem that the user can not accurately push information according to the use habit and the product holding condition of the user to help the user select and purchase the product which is really needed exists.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method and an apparatus for pushing product information, which solve the technical problem that pushed information is inaccurate because information cannot be pushed according to a user's use habit and product retention condition in the prior art. The specific technical scheme is as follows:
in a first aspect implemented by the present application, there is provided a method for pushing product information, where the method includes: determining a product required in a target environment in a preset mode; wherein the preset mode comprises at least one of the following modes: server interface information called by a user terminal, linkage conditions of a plurality of products in a target environment, and behavior data which is generated by the user terminal and is associated with the products and is acquired in a data embedding mode; calling a product corresponding to the server interface each time; and pushing the product information of the product to the user terminal.
In a second aspect of this application implementation, there is also provided a product information pushing device, where the device includes: the determining module is used for determining products required in the target environment in a preset mode; wherein the preset mode comprises at least one of the following modes: server interface information called by a user terminal, linkage conditions of a plurality of products in a target environment, and behavior data which is generated by the user terminal and is associated with the products and is acquired in a data embedding mode; calling a product corresponding to the server interface each time; and the pushing module is used for pushing the product information of the product to the user terminal.
In a third aspect implemented by the present application, there is also provided a computer-readable storage medium, having stored therein instructions, which when executed on a computer, cause the computer to execute any one of the above-mentioned pushing methods for product information.
In a fourth aspect of the embodiments of the present application, there is also provided a computer program product containing instructions, which when run on a computer, causes the computer to execute any one of the above-mentioned pushing methods for product information.
In the application embodiment, products required in the target environment are determined in a preset mode; wherein the preset mode comprises at least one of the following modes: server interface information called by a user terminal, linkage conditions of a plurality of products in a target environment, and behavior data which is generated by the user terminal and is associated with the products and is acquired in a data embedding mode; calling a product corresponding to the server interface each time; pushing product information of a product to a user terminal; that is, the products needed in the target environment are determined by a preset manner, which includes at least one of: the method comprises the steps that server interface information called by a user terminal, linkage conditions of a plurality of products in a target environment, behavior data which are generated by the user terminal and are associated with the products and acquired in a data point burying mode are pushed to the user terminal, and therefore the technical problem that pushed information is inaccurate due to the fact that information pushing cannot be conducted according to the using habits of users and the product keeping conditions in the prior art is solved.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below.
Fig. 1 is a flowchart of a method for pushing product information in an embodiment of the present application;
FIG. 2 is a second flowchart of a method for pushing product information according to an embodiment of the present application;
FIG. 3 is a third flowchart of a method for pushing product information in the embodiment of the present application;
FIG. 4 is a fourth flowchart of a method for pushing product information in the embodiment of the present application;
FIG. 5 is a schematic structural diagram of a pushing device for product information according to an embodiment of the present disclosure;
fig. 6 is a schematic structural diagram of an electronic device in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, 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 some embodiments of the present application, but not all 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.
In the following description, suffixes such as "module", "unit" used to denote elements are used only for facilitating the explanation of the present application and have no specific meaning by themselves. Thus, "module" and "component" may be used in a mixture.
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. The embodiment of the application provides a method for pushing product information, as shown in fig. 1, the method includes the following steps:
it should be noted that the target environment includes, but is not limited to, a home environment, an office environment, a factory environment, and a campus environment. The server interface information called by the user terminal is obtained by counting and screening interface calling times and corresponding equipment information based on a hypertext Transfer Protocol (HTTP); the linkage condition of a plurality of products means that the plurality of products need to be called to execute corresponding operations in a certain mode; the behavior data associated with the product generated by the user terminal refers to operation information of the terminal related to the product, and includes but is not limited to a type of a certain product in the application program APP, a time for opening the application program APP to browse the certain product, a number of clicks of a page related to the product, and a browsing time of the page related to the product.
And 104, pushing the product information of the product to the user terminal.
It should be noted that the product information includes, but is not limited to, the brand, model, price, size, photograph, and instruction of the product.
Through the steps 102 and 104 of the embodiment of the application, the required products in the target environment are determined in a preset mode; wherein the preset mode comprises at least one of the following modes: server interface information called by a user terminal, linkage conditions of a plurality of products in a target environment, and behavior data which is generated by the user terminal and is associated with the products and is acquired in a data embedding mode; calling a product corresponding to the server interface each time; pushing product information of a product to a user terminal; that is to say, through making statistics of interface number of calls and corresponding equipment information and screening, record the operation information that terminal that a plurality of product linkage processes confirm that lacks the product or obtain through data bury some mode and product are relevant, confirm the required product in the target environment, to the product information of user terminal propelling movement product, that is to say, can carry out information propelling movement according to user's use habit and product conservation condition in this application embodiment, thereby solved and can't carry out information propelling movement according to user's use habit and product conservation condition that exists among the prior art, lead to the inaccurate technical problem of information of propelling movement.
In an optional implementation manner of the embodiment of the present application, in the case where the server interface information called by the user terminal in the preset manner is involved in step 102 of the present application, determining a product required in the target environment in the preset manner may further include, as shown in fig. 2:
step 202: counting the times of different products called through the server interface;
the server interface counts the calling times of the server interface through caching based on an HTTP protocol, and adds one to the calling times of the server interface each time the server interface receives an HTTP request; wherein, the cache may be a Remote Dictionary service (Remote Dictionary Server, Redis for short); different products can be called by the same interface, so that the calling times of the called different products can be determined through the calling times, and the calling times are actually the times for the user to check the different products through the user terminal.
Step 204: performing classification statistics on different products based on the times to obtain a classification statistical result;
the server interface receives the HTTP request, and calculates the parameters of the HTTP request according to the parameters of the HTTP request; for example, an https:///access address interface needs a device parameter when called, the device parameter is fridge when the product is an intelligent refrigerator, the device parameter is airfon when the product is an air conditioner, for example, the number of times of calling the refrigerator is 10, and the number of times of calling the air conditioner is 15.
Step 206: screening out products with times exceeding a first preset threshold value from the classification statistical result;
it should be noted that the first preset threshold may be preset according to the target environment, for example, the first preset threshold may be preset for 2 times when the target environment is a home environment; for another example, in the case where the target environment is an office environment, the first preset threshold may be preset 10 times. The above is merely an example, and the corresponding setting may be specifically performed according to the actual situation. For example, if the number of times the terminal calls the refrigerator through the server interface is 10 and the number of times the terminal calls the air conditioner is 15, it may be determined that the air conditioner is a product required by the current environment.
Step 208: and determining the products required in the target environment from the products with the times exceeding the preset threshold value.
It should be noted that the products required in the target environment include, but are not limited to, products that are missing in the target environment when the number of server interface calls exceeds a preset threshold, and products that are existing in the target environment but need to be replaced when the number of server interface calls exceeds a preset threshold.
In an optional implementation manner of the embodiment of the present application, when the preset manner involved in step 102 of the present application is a linkage condition of a plurality of products in the target environment, the determining, by the preset manner, a product required in the target environment may further include, as shown in fig. 3:
step 302: triggering a plurality of products associated with a preset scene mode to execute corresponding linkage operation;
it should be noted that the preset scene mode includes, but is not limited to, a sleep scene mode, a learning scene mode, an office scene mode, and an entertainment scene mode; in one example, the preset scene mode is a sleep scene mode, and the corresponding linkage operation executed by the associated products is a light closing operation, a curtain closing operation and an air conditioner sleep mode operation;
step 304: when there is an unexecuted linkage operation among the plurality of linkage operations, a product corresponding to the unexecuted linkage operation is determined to be a product required in the target environment.
It should be noted that, in an example, the preset scene mode is a sleep scene mode, the corresponding linkage operations executed by the associated products are a light closing operation, a curtain closing operation, and an air conditioner sleep mode operation, and when the light closing operation is not executed, it is determined that the smart light is a product required in the target environment. That is, in the preset scene mode, the light, the curtain, and the air conditioner should be required to perform the linkage operation, that is, perform the corresponding operations, respectively, but since there is no light in the target environment, the light cannot be turned off.
In an optional implementation manner of the embodiment of the present application, in the case that the preset manner referred to in step 102 is behavior data associated with a product generated by a user terminal and acquired by a data sink manner, determining a product required in a target environment by a preset manner, as shown in fig. 4, may further include:
step 402: behavior data are collected based on data buried points;
the data embedding point is a data acquisition method; the behavior data refers to operation information of the terminal related to the product, including but not limited to the number of clicks of a page related to the product and the browsing time of the page related to the product.
Step 404: determining a product to be recommended according to the behavior data;
in an example, if the behavior data is that an APP of the smart watch is opened, the smart watch is determined to be a product to be recommended; in another example, if the behavior data is 5 minutes of browsing a page related to a refrigerator, the refrigerator is determined to be a product to be recommended.
Step 406: the products needed in the target environment are determined from the products to be recommended.
It should be noted that the products required in the target environment include, but are not limited to, products missing from the target environment, and products existing in the target environment but needing to be replaced.
In an optional implementation manner of this embodiment, step 404 of this application may further include: determining products with the browsed times exceeding a second preset threshold according to the behavior data; and the products with the browsed times exceeding a second preset threshold value are products to be recommended.
It should be noted that the second preset threshold may be preset according to a target environment, for example, the number of users in a factory environment is large, and the second preset threshold may be preset to 50 times; in one example, the fan is determined to be a product to be recommended when the number of times the fan-related page is browsed in the factory environment exceeds a second preset threshold value for 50 times.
In an optional implementation manner provided by the embodiment of the present application, step 406 of the present application further includes: and determining the products required in the target environment from the products with the browsing times exceeding a second preset threshold value.
Wherein, it is to be noted that the products required in the target environment include, but are not limited to, products missing in the target environment, products existing in the target environment but needing to be replaced; for example, if the number of times that the fan-related page is browsed in the factory environment exceeds the second preset threshold 50 times and the fan is absent in the factory environment, the fan is determined to be a desired product in the factory environment.
In an optional implementation manner provided by the embodiment of the present application, step 404 of the present application may further include: determining a product with the browsed time length exceeding the preset time length according to the behavior data; and the products with the browsed time length exceeding the preset time length are the products to be recommended.
It should be noted that, in an example, the preset time duration is 2 minutes, the behavior data is 4 minutes for browsing a relevant page of the notebook computer, the browsing time duration of the notebook computer determined by the behavior data exceeds the preset time duration, and the notebook computer is a product to be recommended.
In an optional implementation manner provided by the embodiment of the present application, step 406 of the present application further includes: and determining the products required in the target environment from the products with the browsing time exceeding the preset time.
Wherein, it is to be noted that the products required in the target environment include, but are not limited to, products missing in the target environment, products existing in the target environment but needing to be replaced; in one example, the browsed time of the notebook computer is 4 minutes, and the notebook computer in the target environment is damaged after the preset time is 2 minutes, so that the notebook computer is determined to be a product required in the target environment.
Therefore, the method for pushing the product information can push the information according to the use habits and the product retention conditions of the users, so that the technical problems that the information pushing cannot be accurately carried out according to the use habits and the product retention conditions of the users and the users are helped to select and purchase the products which are really needed in the prior art are solved.
An embodiment of the present application provides a product information pushing device, as shown in fig. 5, the device includes:
a determining module 52, configured to determine a product required in the target environment in a preset manner; wherein the preset mode comprises at least one of the following modes: server interface information called by a user terminal, linkage conditions of a plurality of products in a target environment, and behavior data which is generated by the user terminal and is associated with the products and is acquired in a data embedding mode; calling a product corresponding to the server interface each time;
and the pushing module 54 is used for pushing the product information of the product to the user terminal.
The product information pushing device comprises a determining module and a pushing module, wherein the determining module is used for determining a product required in a target environment in a preset mode; wherein the preset mode comprises at least one of the following modes: server interface information called by a user terminal, linkage conditions of a plurality of products in a target environment, and behavior data which is generated by the user terminal and is associated with the products and is acquired in a data embedding mode; calling a product corresponding to the server interface each time; the pushing module is used for pushing product information of a product to the user terminal; that is to say, the determining module determines a product required in the target environment according to server interface information called by the user terminal, linkage conditions of a plurality of products in the target environment, and behavior data associated with the product and generated by the user terminal, which is acquired in a data embedding manner, and the pushing module pushes product information of the product to the user terminal, so that the technical problem that pushed information is inaccurate due to the fact that information pushing cannot be performed according to the use habits and product retention conditions of users in the prior art is solved.
In an optional implementation manner of the embodiment of the present application, in a case that the preset manner is server interface information called by a user terminal, the determining module 52 in the embodiment of the present application includes:
the statistical unit is used for counting the times of different products called through the server interface;
the classification unit is used for performing classification statistics on different products based on the times to obtain a classification statistical result;
the screening unit is used for screening out products with the times exceeding a first preset threshold value from the classification statistical result;
the first determining unit is used for determining products required in the target environment from the products with the times exceeding a preset threshold value;
in an optional implementation manner of the embodiment of the present application, in a case that the preset manner is a linkage condition of a plurality of products in the target environment, the determining module 52 in the embodiment of the present application includes:
the trigger unit is used for triggering a plurality of products associated with a preset scene mode to execute corresponding linkage operation;
and a second determination unit configured to determine that a product corresponding to the unexecuted linkage operation is a product required in the target environment, when the unexecuted linkage operation exists among the plurality of linkage operations.
In an optional implementation manner of the embodiment of the present application, in a case that the preset manner is behavior data associated with a product, generated by a user terminal and acquired in a data embedding manner, the determining module 52 in the embodiment of the present application includes:
the acquisition unit is used for acquiring behavior data based on data buried points;
the third determining unit is used for determining a product to be recommended according to the behavior data;
and the fourth determining unit is used for determining the products required in the target environment from the products to be recommended.
In an optional implementation manner of the embodiment of the present application, the third determining unit provided in the embodiment of the present application further may include: the first determining subunit is used for determining a product of which the browsed times exceed a second preset threshold according to the behavior data; the products with the browsed times exceeding a second preset threshold value are products to be recommended; in addition, the fourth determining unit provided in the embodiment of the present application may further include: and the second determining subunit is used for determining the products required in the target environment from the products of which the browsed times exceed a second preset threshold value.
In an optional implementation manner of the embodiment of the present application, the third determining unit provided in the embodiment of the present application further may include: the third determining subunit is used for determining a product with the browsed time length exceeding the preset time length according to the behavior data; wherein, the products with the browsed time length exceeding the preset time length are products to be recommended; in addition, the fourth determining unit provided in the embodiment of the present application may further include: and the fourth determining subunit is used for determining the products required in the target environment from the products with the browsed time length exceeding the preset time length.
The embodiment of the present application further provides an electronic device, as shown in fig. 6, which includes a processor 601, a communication interface 602, a memory 603, and a communication bus 604, where the processor 601, the communication interface 602, and the memory 603 complete mutual communication through the communication bus 604,
a memory 603 for storing a computer program;
the processor 601 is configured to implement the method steps in fig. 1 when executing the program stored in the memory 603, and the functions of the method steps are the same as those of the method steps in fig. 1, which are not described herein again.
The communication bus mentioned in the above terminal may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 6, but this is not intended to represent only one bus or type of bus.
The communication interface is used for communication between the terminal and other equipment.
The Memory may include a Random Access Memory (RAM) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the device can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, or a discrete hardware component.
In yet another embodiment provided by the present application, a computer-readable storage medium is further provided, which stores instructions that, when executed on a computer, cause the computer to execute the pushing method of the product information described in any of the above embodiments.
In yet another embodiment provided by the present application, there is also provided a computer program product containing instructions, which when run on a computer, causes the computer to execute the pushing method of the product information described in any of the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only for the preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application are included in the protection scope of the present application.
Claims (10)
1. A method for pushing product information is characterized by comprising the following steps:
determining a product required in a target environment in a preset mode; wherein the preset mode comprises at least one of the following modes: server interface information called by a user terminal, linkage conditions of a plurality of products in the target environment, and behavior data which is generated by the user terminal and is associated with the products and is acquired in a data embedding mode; calling a product corresponding to the server interface each time;
and pushing the product information of the product to a user terminal.
2. The method according to claim 1, wherein in the case that the preset manner is server interface information called by the user terminal, the determining, by the preset manner, a product required in the target environment includes:
counting the times of different products called through the server interface;
carrying out classification statistics on the different products based on the times to obtain a classification statistical result;
screening out products with times exceeding a first preset threshold value from the classification statistical result;
and determining the products required in the target environment from the products with the times exceeding a preset threshold value.
3. The method according to claim 1, wherein in the case that the preset mode is a linkage condition of a plurality of products in the target environment, the determining the products required in the target environment by the preset mode comprises:
triggering a plurality of products associated with a preset scene mode to execute corresponding linkage operation;
and when the linkage operation which is not executed exists in the plurality of linkage operations, determining that the product corresponding to the linkage operation which is not executed is the product required in the target environment.
4. The method according to claim 1, wherein in the case that the preset manner is behavior data associated with a product and generated by the user terminal and acquired by a data embedding manner, the determining the product required in the target environment by the preset manner comprises:
collecting the behavior data based on the data buried points;
determining a product to be recommended according to the behavior data;
and determining the required products in the target environment from the products to be recommended.
5. The method of claim 4,
the determining the product to be recommended according to the behavior data comprises: determining products with the browsed times exceeding a second preset threshold according to the behavior data; the products with the browsed times exceeding a second preset threshold value are products to be recommended;
the determining the required products in the target environment from the products to be recommended comprises: and determining the products required in the target environment from the products with the browsing times exceeding a second preset threshold value.
6. The method of claim 4,
the determining the product to be recommended according to the behavior data comprises: determining a product with the browsed time length exceeding a preset time length according to the behavior data; the product with the browsed time length exceeding the preset time length is the product to be recommended;
the determining the required products in the target environment from the products to be recommended comprises: and determining the products required in the target environment from the products with the browsed time length exceeding the preset time length.
7. A pushing apparatus for product information, comprising:
the determining module is used for determining products required in the target environment in a preset mode; wherein the preset mode comprises at least one of the following modes: server interface information called by a user terminal, linkage conditions of a plurality of products in the target environment, and behavior data which is generated by the user terminal and is associated with the products and is acquired in a data embedding mode; calling a product corresponding to the server interface each time;
and the pushing module is used for pushing the product information of the product to the user terminal.
8. The apparatus of claim 7, wherein the determining means comprises at least one of:
a first determining unit, configured to count the number of times that different products are called through the server interface when the preset manner is the server interface information called by the user terminal; carrying out classification statistics on the different products based on the times to obtain a classification statistical result; screening out products with times exceeding a first preset threshold value from the classification statistical result; determining products required in the target environment from the products with the times exceeding a preset threshold;
the second determining unit is used for triggering a plurality of products associated with a preset scene mode to execute corresponding linkage operation under the condition that the preset mode is the linkage condition of the plurality of products in the target environment; determining a product corresponding to the linkage operation which is not executed as a product required in the target environment when the linkage operation which is not executed exists in the plurality of linkage operations;
a third determining unit, configured to collect behavior data based on a data buried point when the preset manner is behavior data associated with a product, which is generated by the user terminal and acquired in a data buried point manner; determining a product to be recommended according to the behavior data; and determining the required products in the target environment from the products to be recommended.
9. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor and the communication interface are used for realizing mutual communication by the memory through the communication bus;
a memory for storing a computer program;
a processor for implementing the method steps of any of claims 1-6 when executing a program stored in the memory.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-6.
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