CN111026979A - Target recommendation method and system and computer-readable storage medium - Google Patents
Target recommendation method and system and computer-readable storage medium Download PDFInfo
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Abstract
The application provides a target recommendation method and system and a computer readable storage medium, wherein the method comprises the steps of receiving current position information sent by a user terminal; searching different radiation ranges of different types of targets to be recommended in a target database so as to determine the target to be recommended corresponding to the radiation range currently entered by the user according to the current position information; and pushing recommendation information of a corresponding target to be recommended to the user terminal. By the method, different types of targets to be recommended can have different radiation ranges, so that recommendation is more reasonable when recommendation information is pushed to the user according to the current position of the user, and the pushing efficiency is improved.
Description
Technical Field
The present application relates to the field of communications, and in particular, to a target recommendation method and system, and a computer-readable storage medium.
Background
With the wide application of internet technology, the recommendation service can provide guidance for users according to certain strategies.
At present, a recommendation method for recommending services generally pushes target information within a certain range for a user based on the position of the user, and if the range is too large, the recommendation method can cause more pushed information, and if the range is smaller, the recommendation method can cause unreasonable recommendation because the information is not pushed.
Disclosure of Invention
The application mainly provides a target recommendation method and system and a computer readable storage medium, which can improve recommendation rationality and push efficiency.
In order to solve the technical problem, the application adopts a technical scheme that: a method of target recommendation is provided, the method comprising: receiving current position information sent by a user terminal; searching different radiation ranges of different types of targets to be recommended in a target database so as to determine the target to be recommended corresponding to the radiation range currently entered by the user according to the current position information; and pushing the recommendation information of the corresponding target to be recommended to the user terminal.
Wherein, the step of receiving the current location information sent by the user terminal further comprises: acquiring the position information of the different types of targets to be recommended; and respectively giving different radius values to form different radiation ranges by taking the positions of the different types of targets to be recommended as centers.
Wherein the step of obtaining the position information of the different types of targets to be recommended comprises: and acquiring the geographic coordinates of the different types of targets to be recommended.
Wherein the step of respectively giving different radius values to form the different radiation ranges by taking the positions of the different types of targets to be recommended as the center comprises: acquiring the number of the targets to be recommended of the same type in different types; and respectively assigning radius values with different sizes according to the quantity and size relationship of the targets to be recommended of the same type in the different types by taking the positions of the targets to be recommended of the different types as a center, so that the radius value assigned to the target to be recommended with a larger quantity is smaller than the radius value assigned to the target to be recommended with a smaller quantity, and further forming the different radiation ranges.
The step of pushing the recommendation information of the corresponding target to be recommended to the user terminal includes: determining a recommendation priority in the corresponding target to be recommended according to the current scene; and pushing the recommendation information of the corresponding target to be recommended to the user terminal according to the recommendation priority.
Wherein, the step of determining the priority of the recommendation type in the corresponding target to be recommended according to the current scene comprises the following steps: and determining the type recommendation priorities of different types of targets to be recommended in the corresponding targets to be recommended according to the current time scene.
Wherein, the step of determining the priority of the recommendation type in the corresponding target to be recommended according to the current scene comprises the following steps: and determining the target recommendation priority of the targets to be recommended of the same type in the corresponding targets to be recommended according to the current weather scene.
The recommendation information comprises at least one of the type name, the target name, the user score and the distance between the corresponding target to be recommended and the user.
In order to solve the above technical problem, another technical solution adopted by the present application is: there is provided an object recommendation system comprising a processor and a memory, the memory storing computer instructions, the processor being coupled to the memory, the processor executing the computer instructions when in operation to implement the method as described above.
In order to solve the above technical problem, the present application adopts another technical solution: there is provided a computer readable storage medium having stored thereon a computer program for execution by a processor to implement a method as described above.
The beneficial effect of this application is: different from the prior art, the present embodiment receives the current location information sent by the user terminal; searching different radiation ranges of different types of targets to be recommended in a target database so as to determine the target to be recommended corresponding to the radiation range currently entered by the user according to the current position information; the method for pushing the recommendation information of the corresponding target to be recommended to the user terminal enables different types of targets to be recommended to have different radiation ranges, so that when the recommendation information is pushed to the user according to the current position of the user, the recommendation is more reasonable, and the pushing efficiency is improved.
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, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without inventive efforts, wherein:
FIG. 1 is a schematic flow chart diagram of an embodiment of a target recommendation method provided herein;
FIG. 2 is a schematic diagram of different irradiation ranges of different types of targets to be recommended in step S120 in FIG. 1;
FIG. 3 is a schematic diagram of a detailed flowchart of an embodiment of step S130 in FIG. 1;
FIG. 4 is a schematic block diagram of an embodiment of a target recommendation system provided herein;
FIG. 5 is a schematic block diagram of an embodiment of a computer-readable storage medium provided herein.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be noted that the following examples are only illustrative of the present application, and do not limit the scope of the present application. Likewise, the following examples are only some examples and not all examples of the present application, and all other examples obtained by a person of ordinary skill in the art without any inventive step are within the scope of the present application.
The terms "first", "second" and "third" in this application are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any indication of the number of technical features indicated. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of the feature. In the description of the present application, "plurality" means at least two, e.g., two, three, etc., unless explicitly specifically limited otherwise. All directional indications (such as up, down, left, right, front, and rear … …) in the embodiments of the present application are only used to explain the relative positional relationship between the components, the movement, and the like in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indication is changed accordingly. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Referring to fig. 1, fig. 1 is a schematic flowchart of an embodiment of a target recommendation method provided in the present application, where the target recommendation method in the present embodiment includes:
s110: receiving current position information sent by a user terminal;
specifically, the target recommendation system receives current position information sent by the user terminal, the target recommendation system is in communication connection with the user terminal, in the specific application process, the target recommendation system can be in communication connection with the target recommendation system by installing a corresponding application program on the user terminal or by means of an applet, and the user terminal obtains the current position information through a positioning function of the user terminal and sends the current position information to the target recommendation system.
S120: searching different radiation ranges of different types of targets to be recommended in a target database so as to determine the target to be recommended corresponding to the radiation range currently entered by the user according to the current position information;
referring to fig. 2, fig. 2 is a schematic diagram illustrating different radiation ranges of different types of objects to be recommended in step S120 in fig. 1, in the present embodiment, different radiation ranges may be assigned to different types of objects to be recommended in advance, for example, before step S110, and stored in the object database, so as to search the object database for different radiation ranges of different types of objects to be recommended, for example, as shown in fig. 2, a radiation range M1, a radiation range M2, and a radiation range M3 are assigned to different types of objects to be recommended a, objects to be recommended B, and objects to be recommended C, respectively.
The method for respectively assigning different radiation ranges to different types of targets to be recommended may specifically include: firstly, acquiring position information of different types of objects to be recommended, in a specific embodiment, a target recommendation system acquires geographic coordinates, namely longitude and latitude, of the different types of objects to be recommended, then respectively gives different radius values to form different radiation ranges by taking the positions of the different types of objects to be recommended as centers, for example, gives a radius value X1 to form a radiation range M1 by taking an object A to be recommended as a center, gives a radius value X2 to form a radiation range M2 by taking an object C to be recommended as a center, gives a radius value X3 to form a radiation range M3, in a specific embodiment, the target recommendation system acquires the number of the same types of objects to be recommended in the different types, for example, the number of the objects A to be recommended is N1, the number of the objects B to be recommended is N2, the number of the objects C to be recommended is N3, and then takes the positions of the different types of the objects to be recommended as centers, according to the quantity and size relations of the same type of objects to be recommended in different types, radius values with different sizes are respectively given, so that the radius value given to the object to be recommended with a larger quantity is smaller than the radius value given to the object to be recommended with a smaller quantity, different radiation ranges are formed, for example, the quantity and size relations of the object A to be recommended, the object B to be recommended and the object C to be recommended are N1 > N2 > N3, then the quantity and size relations of the radius values given to the object A to be recommended, the object B to be recommended and the object C to be recommended are X1 < X2 < X3, the further formed quantity and size relations of the radiation ranges M1, M2 and M3 are M1 < M2 < M3, by the method, the radiation ranges of the objects to be recommended with a larger quantity in the same type are smaller, the recommended quantity of the objects to be recommended with a larger quantity is reduced, and the recommended quantity of the objects to be recommended is increased, the recommendation information of a large number of targets to be recommended is prevented from being too much, and the recommendation information of a small number of targets to be recommended is prevented from being too little, so that the recommendation is more reasonable.
Further, the target to be recommended corresponding to the radiation range currently entered by the user is determined according to the current position information, for example, as shown in fig. 2, the current position of the user is determined to be W according to the current position information, the radiation ranges currently entered by the user are a radiation range M1 and a radiation range M3, and the radiation range not currently entered is M2, then the target to be recommended corresponding to the radiation range currently entered by the user is a target to be recommended a and a target to be recommended C, wherein the specific determination method may calculate the distance between the user and the target to be recommended of different types according to the current position information and the position information of the target to be recommended of different types, when the distance between the two is smaller than the radius value, the user currently enters the radiation range, otherwise, the distance is not reached.
S130: and pushing recommendation information of a corresponding target to be recommended to the user terminal.
For example, as described above, the corresponding objects to be recommended are the object to be recommended a and the object to be recommended C, and then the recommendation information of the object to be recommended a and the object to be recommended C is pushed to the user terminal.
Optionally, the recommendation information may include at least one of a type name, a target name, a user score, and a distance from the user of the corresponding recommendation target.
Referring to fig. 3, fig. 3 is a schematic flowchart illustrating an embodiment of step S130 in fig. 1, in which step S130 may specifically include:
s1301: and determining the recommendation priority in the corresponding target to be recommended according to the current scene.
In a specific application scenario, if a current scenario is a current time scenario, type recommendation priorities of different types of objects to be recommended are determined in corresponding objects to be recommended according to the current time scenario, for example, the types of the corresponding object to be recommended a and the object to be recommended C are a restaurant and a store respectively, the current time is twelve am, and the current time scenario is determined to be meal, then it can be determined that the recommendation priority of the object to be recommended a of the type restaurant is higher than the recommendation priority of the object to be recommended C of the type store.
In another specific application scenario, if the current scenario is a weather scenario, target recommendation priorities of targets to be recommended of the same type are determined in corresponding targets to be recommended according to the current weather scenario, for example, if the corresponding target to be recommended a is a basketball court, the number of basketball courts is multiple, the multiple basketball courts include an indoor basketball court and an outdoor basketball court, and if the current weather scenario is rainy weather, it may be determined that the recommendation priority of the indoor basketball court in the target to be recommended a of the same type is greater than the recommendation priority of the outdoor basketball court.
S1302: and pushing corresponding recommendation information of the target to be recommended to the user terminal according to the recommendation priority.
In the above specific application scenario, recommendation information of a target to be recommended corresponding to the type recommendation priority is pushed to the user terminal according to the type recommendation priority.
In another specific application scenario as described above, recommendation information of a target to be recommended corresponding to the target recommendation priority is pushed to the user terminal according to the target recommendation priority.
Referring to fig. 4, fig. 4 is a schematic block diagram of an embodiment of a target recommendation system provided in the present application, where the target recommendation system in the present embodiment includes a processor 210 and a memory 220, the processor 210 is coupled to the memory 220, the memory 220 stores computer instructions, and the processor 210 executes the computer instructions when operating to implement the target recommendation method in any of the embodiments.
The processor 210 may also be referred to as a Central Processing Unit (CPU). The processor 210 may be an integrated circuit chip having signal processing capabilities. The processor 210 may also be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. A general purpose processor may be a microprocessor or the processor may be any conventional processor, but is not limited thereto.
Referring to fig. 5, fig. 5 is a schematic block diagram of an embodiment of a computer-readable storage medium provided in the present application, in which a computer program 310 is stored, and the computer program 310 can be executed by a processor to implement the target recommendation method in any of the above embodiments.
Alternatively, the readable storage medium may be various media that can store 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, or may be a terminal device such as a computer, a server, a mobile phone, or a tablet.
Different from the prior art, in the embodiment, the current location information sent by the user terminal is received; searching different radiation ranges of different types of targets to be recommended in a target database so as to determine the target to be recommended corresponding to the radiation range currently entered by the user according to the current position information; the method for pushing the recommendation information of the corresponding target to be recommended to the user terminal enables different types of targets to be recommended to have different radiation ranges, so that when the recommendation information is pushed to the user according to the current position of the user, the recommendation is more reasonable, and the pushing efficiency is improved.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and all modifications of equivalent structures and equivalent processes, which are made by the contents of the specification and the drawings, or which are directly or indirectly applied to other related technical fields, are intended to be included within the scope of the present application.
Claims (10)
1. A method for target recommendation, the method comprising:
receiving current position information sent by a user terminal;
searching different radiation ranges of different types of targets to be recommended in a target database so as to determine the target to be recommended corresponding to the radiation range currently entered by the user according to the current position information;
and pushing the recommendation information of the corresponding target to be recommended to the user terminal.
2. The method of claim 1, wherein the step of receiving the current location information sent by the user terminal further comprises:
acquiring the position information of the different types of targets to be recommended;
and respectively giving different radius values to form different radiation ranges by taking the positions of the different types of targets to be recommended as centers.
3. The method according to claim 2, wherein the step of obtaining the location information of the different types of targets to be recommended comprises:
and acquiring the geographic coordinates of the different types of targets to be recommended.
4. The method according to claim 2, wherein the step of respectively assigning different radius values to form the different radiation ranges centering on the positions of the different types of objects to be recommended comprises:
acquiring the number of the targets to be recommended of the same type in different types;
and respectively assigning radius values with different sizes according to the quantity and size relationship of the targets to be recommended of the same type in the different types by taking the positions of the targets to be recommended of the different types as a center, so that the radius value assigned to the target to be recommended with a larger quantity is smaller than the radius value assigned to the target to be recommended with a smaller quantity, and further forming the different radiation ranges.
5. The method according to claim 1, wherein the step of pushing the recommendation information of the corresponding target to be recommended to the user terminal comprises:
determining a recommendation priority in the corresponding target to be recommended according to the current scene;
and pushing the recommendation information of the corresponding target to be recommended to the user terminal according to the recommendation priority.
6. The method according to claim 5, wherein the step of determining the priority of the recommendation type in the corresponding target to be recommended according to the current scene comprises:
and determining the type recommendation priorities of different types of targets to be recommended in the corresponding targets to be recommended according to the current time scene.
7. The method according to claim 5, wherein the step of determining the priority of the recommendation type in the corresponding target to be recommended according to the current scene comprises:
and determining the target recommendation priority of the targets to be recommended of the same type in the corresponding targets to be recommended according to the current weather scene.
8. The method of claim 1, wherein the recommendation information comprises at least one of a type name, a target name, a user score and a distance from a user of the corresponding target to be recommended.
9. An object recommendation system, comprising a processor and a memory, the memory storing computer instructions, the processor being coupled to the memory, the processor being operable to execute the computer instructions to implement the method of any of claims 1 to 8.
10. A computer-readable storage medium, on which a computer program is stored, the computer program being executable by a processor for implementing the method according to any one of claims 1 to 8.
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| CN111859184A (en) * | 2020-06-28 | 2020-10-30 | 北京嘀嘀无限科技发展有限公司 | Boarding point recommendation method and system |
| CN111986005A (en) * | 2020-08-31 | 2020-11-24 | 上海博泰悦臻电子设备制造有限公司 | Activity recommendation method and related equipment |
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