CN111695044B - User ranking data processing method and device and electronic equipment - Google Patents
User ranking data processing method and device and electronic equipment Download PDFInfo
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- CN111695044B CN111695044B CN201910182174.7A CN201910182174A CN111695044B CN 111695044 B CN111695044 B CN 111695044B CN 201910182174 A CN201910182174 A CN 201910182174A CN 111695044 B CN111695044 B CN 111695044B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The embodiment of the application provides a user ranking data processing method and device and electronic equipment. The method comprises the following steps: acquiring the geographic position of a first user, and determining a predetermined number of second users according to the geographic position of the first user, wherein the first user and the second users are users of a designated application; the method comprises the steps of obtaining first target data of a first user and second target data of a second user, and sequencing the first target data and the second target data based on a preset sequencing rule to obtain a sequencing result. According to the embodiment of the application, different users are used as centers, so that the application software server determines the users needing to be sequenced at the same time point, different sequencing results are obtained, and the problem of lack of pertinence of the sequencing results of the application software is solved; meanwhile, the preset ordering rule is convenient for the user to set the ordering result in a personalized way, and the operability of the user on the ordering result is improved.
Description
Technical Field
The application relates to the technical field of data processing, in particular to a user ranking data processing method, a user ranking data processing device and electronic equipment.
Background
With the development of internet technology, in order to increase the access amount of application software, more and more application software provides a user ranking function, particularly game software. Thus, the application software needs to order the user data (e.g., score scores) to implement the user ranking function.
Servers of existing applications are typically ordered after user data is obtained for all users of the application or for all users of a function. Therefore, the server of the existing application software has the following problems in the ordering manner of the user data: 1. the users needing to be ranked at the same time point are consistent, so that the ranking results obtained by the server of the existing application software for ranking the user data are consistent, the server of the subsequent application software generates ranking results according to the ranking results at the same time point and pushes ranking lists to different user clients to be the same, the user data cannot be ranked by taking the user as the center, and the ranking results lack pertinence; 2. after the server of the existing application software sorts the user data, the obtained sorting result cannot be changed, and the operability is poor.
Disclosure of Invention
The application provides a user ranking data processing method, a user ranking data processing device and electronic equipment, and the technical problems can be solved. The technical scheme is as follows:
in a first aspect, a method for processing user-ranked data is provided, the method comprising:
acquiring the geographic position of a first user, and determining a predetermined number of second users according to the geographic position of the first user, wherein the first user and the second users are users of a designated application;
the method comprises the steps of obtaining first target data of a first user and second target data of a second user, and sequencing the first target data and the second target data based on a preset sequencing rule to obtain a sequencing result.
In a second aspect, there is provided a user-ranked data processing arrangement, the arrangement comprising:
the data acquisition module is used for acquiring the geographic position of the first user and determining a preset number of second users according to the geographic position of the first user, wherein the first user and the second users are users of the appointed application;
the data processing module is used for acquiring first target data of the first user and second target data of the second user, and sequencing the first target data and the second target data based on a preset sequencing rule to obtain a sequencing result.
In a third aspect, an electronic device is provided, the electronic device comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to: and executing the data processing method of the user ranking.
In a fourth aspect, a computer readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the user-ranked data processing method described above.
The technical scheme provided by the embodiment of the application has the beneficial effects that: the method comprises the steps of obtaining the geographic position of a first user, determining a preset number of second users according to the geographic position of the first user, sorting the obtained target data based on a preset sorting rule after obtaining the first target data of the first user and the second target data of the second user to obtain a sorting result, determining the second user by taking the first user as a center, further achieving the purpose of narrowing the range of the subsequent users needing to be sorted, solving the problem that the prior application software server does not distinguish the users, directly sorting the target data of all users or all users with a certain function in a designated application, and generating and pushing the same ranking list problem to different user clients by the subsequent server at the same time point according to the sorting result, and determining the users needing to be sorted at the same time point by taking the different users as centers to further obtain different sorting results, thereby solving the problem of lack of pertinence of the application software sorting result; meanwhile, the preset ordering rule is convenient for the user to set the ordering result in a personalized way, and the operability of the user on the ordering result is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings that are required to be used in the description of the embodiments of the present application will be briefly described below.
FIG. 1 is a flow chart of a user ranking data processing method according to an embodiment of the present application;
FIG. 2 is a flowchart of another user-ranked data processing method according to an embodiment of the present application;
FIG. 3 is a flowchart of another method for processing user-ranked data according to an embodiment of the present application;
FIG. 4 is a flow chart of yet another user-ranked data processing provided by an embodiment of the application;
FIG. 5 is a flow chart of yet another user-ranked data processing provided by an embodiment of the application;
FIG. 6 is a schematic diagram of a user-ranked data processing apparatus according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the application.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless expressly stated otherwise, as understood by those skilled in the art. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. The term "and/or" as used herein includes all or any element and all combination of one or more of the associated listed items.
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail with reference to the accompanying drawings.
The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Example 1
The embodiment of the application provides a data processing method for user ranking, which is shown in fig. 1 and comprises the following steps: step S101 and step S102.
Step S101, obtaining the geographic position of a first user, and determining a predetermined number of second users according to the geographic position of the first user, wherein the first user and the second users are users of a designated application.
In the embodiment of the application, the server acquires the geographic position of the first user, and determines the second user according to the geographic position of the first user, so as to play a role in narrowing the range of the users needing to be sequenced subsequently.
In practical application, the server can actively acquire the geographic position of the first user, for example, after the server sends a position acquisition request to the client, the server acquires the geographic position of the first user returned by the client; the method may also be that when the client detects the operation of the user, the operation is sent to the server, for example, if the client presets a preset control, such as a "ranking" control, and when the client detects the operation (such as a clicking operation) of the user on the preset control, the client sends the geographic position of the user, i.e. the first user, detected by using the GPS module to the server, so that the server obtains the geographic position of the user, and determines a specified number of second users according to the geographic position of the user; for another example, when the client is started, the client sends the geographic location of the user to the server.
Step S102, first target data of a first user and second target data of a second user are obtained, and the first target data and the second target data are ordered based on a preset ordering rule, so that an ordering result is obtained.
According to the embodiment of the application, the geographic position of the first user is obtained, and the predetermined number of second users are determined according to the geographic position of the first user, so that after the first target data of the first user and the second target data of the second user are obtained, the first target data and the second target data are sequenced based on the preset sequencing rule to obtain the sequencing result, the second user is determined by taking the first user as the center, the purpose of reducing the range of the subsequent users needing to be sequenced is achieved, the problem that the current application software server does not distinguish the users, the target data of all the users or all the users with a certain function in the appointed application are directly sequenced, the subsequent server generates and pushes the same ranking list to the clients of different users at the same time point according to the sequencing result is solved, the user needing to be sequenced is determined at the same time point by taking the different users as the center, and the different sequencing results are obtained, and the problem of lack of pertinence of the sequencing result of the application software is solved; meanwhile, the preset ordering rule is convenient for the user to set the ordering result in a personalized way, and the operability of the user on the ordering result is improved.
In the embodiment of the application, the first target data and the second target data are used for representing the appointed data type of the appointed application in the appointed time period, such as personal information (such as achievements) of a user, game time, user grade and the like. In practical application, the first target data and the second target data can be marked by adopting corresponding numerical labels, for example, the score is represented by 001, and the game time is marked by 002. In practical application, the target data representing the personal information of the user can be one kind or a plurality of kinds.
In practical application, the preset ordering rules include various modes, such as descending order ordering, ascending order ordering, and the like.
In practical application, the first target data and the second target data are generally set as achievements, for example, assuming that a first user is user a, a second user determined by the geographic position of user a is user B, user C and user D, the game achievements of the four users are 876 points, 428 points, 560 points and 156 points respectively, and the achievements of the four users are ranked according to descending order, and the obtained ranking results are that: user a:876 minutes, user C: 560. user B:428 minutes, user D:156 minutes.
In one implementation, as shown in fig. 1, determining a predetermined number of second users according to the geographic location of the first user in step S101 includes:
step S1011 (not shown in the figure), calculating the distance between each user in the appointed application and the first user, and sequencing each user in the appointed application according to the sequence from near to far to obtain a first sequencing result;
step S1012 (not shown in the figure), regarding a top predetermined number of users in the first ranking result as second users;
in practical application, the geographic position of the first user is generally represented by longitude and latitude, if the geographic position of the first user is north latitude a degrees and east longitude B degrees, the distance between each user in the appointed application and the first user is calculated by taking the geographic position of the first user as the center, the users are ordered according to the sequence from near to far, and if the preset number is 100, the user with the top ranking of 100 is selected as the second user. In practical application, a user identity (such as a user ID) is generally used to uniquely determine the user identity, and the number of users is determined by acquiring the user ID.
In one implementation, as shown in fig. 1, step S1012, taking the first predetermined number of users in the first ranking result as the second users, further includes:
and taking the first ranked predetermined number of users with the second target data in the first ranked result as second users.
The embodiment of the application ensures that the subsequent sequencing result not only achieves the aim of centering on the first user, but also ensures the condition that any user in the sequencing result has target data by determining the pre-ranking preset number of users with the second target data in the first sequencing result.
For example, 1000 users are determined to be second users according to the first ranking result, and all of the 1000 users have second target data.
In yet another implementation, as shown in FIG. 2, the method includes: step S201 to step S204, wherein step S201 and step S202 are the same as or similar to the execution process of step S101 and step S102, respectively, and are not described herein again.
Step S203, detecting whether the geographic position of the first user changes according to a first preset detection period;
step S204, if the change occurs, the step of determining a predetermined number of second users according to the geographical location of the first user is re-executed.
According to the embodiment of the application, whether the geographic position of the first user changes is detected through the setting of the first preset detection period, so that the problem of calculation consumption of the server caused by uninterrupted acquisition of the geographic position of the first user by the server is prevented, and the calculation efficiency of the server is improved.
For example, assuming that the first preset detection period is 5 minutes, the server acquires the geographic position of the first user every 5 minutes, so that the inaccuracy problem of the second user, which is determined subsequently, caused by the change of the geographic position of the first user is prevented, and the sequencing result obtained subsequently is further influenced.
In yet another implementation, as shown in FIG. 3, the method includes: step S301 to step S304, wherein step S301 and step S302 are the same as or similar to the execution process of step S101 and step S102, respectively, and are not described herein again.
Step S303, detecting whether the geographic position of the second user changes according to a second preset detection period;
step S304, if the change occurs, the step of determining a predetermined number of second users according to the geographical positions of the first users is re-executed.
The embodiment of the application solves the problem of inaccurate sequencing results obtained later in the prior art due to the change of the geographic position of the second user through the setting of the second preset detection period.
For example, assuming that the second preset detection period is 3 minutes, the geographic position of the second user is detected once every 3 minutes, assuming that the original geographic position of the second user is the location a, and determining that the geographic position of the second user is the location B after 3 minutes, the geographic position of the second user is changed. In practical application, whether the geographic position of the second user changes or not may also use a preset distance threshold as a judging condition, for example, assuming that the original geographic position of the second user is the location a, after 3 minutes, the geographic position of the second user is detected to be the location B, and assuming that the preset distance threshold is 5 meters, the geographic position of the second user can be determined to be unchanged within a range with the radius of 5 meters by taking the location a as the center. For example, if the B location is located at a distance of 6 meters from the a location, then it is determined that the B location is outside the preset distance range, and it is determined that the geographic location of the second user is changed.
In yet another implementation, as shown in FIG. 4, the method includes: step S401 to step S403, wherein step S401 and step S402 are the same as or similar to the execution process of step S101 and step S102, respectively, and are not described herein again.
Step S403, when detecting that the first target data and/or the second target data change in the sorting result, re-executing the step of sorting the first target data and the second target data based on the preset sorting rule.
In the embodiment of the application, the accuracy of the generated ranking result is ensured by re-detecting the first target data and the second target data in the ranking result, and further the accuracy of the subsequently generated ranking list is ensured.
For example, assume that the current ranking result includes user a, user B and user C, and the game achievements of user a, user B and user C are respectively 90 points, 40 points and 55 points, and the three users in the current ranking result are displayed according to the following ranking: user a:90 minutes, user C:55 minutes, user B:40 minutes. When the server detects that the game score of the user B changes, for example, detects that the game score of the user B changes from 40 to 100, the server re-executes the step of sorting the first target data and the second target data based on the preset sorting rule, so as to re-sort the game scores of the three users, and the three user sequences in the re-obtained sorting result are as follows: user B:100 minutes, user a:90 minutes, user C: and 55 minutes to regenerate the ranking list according to the retrieved ranking result.
It should be noted that, in the embodiment of the application, through detecting the geographic position of the first user and the geographic position of the second user and detecting the first user data of the first user and/or the second target data of the second user in real time, the accuracy of the ranking result is ensured, further, the dynamic update of the ranking list generated subsequently is realized, and the accuracy of the ranking list is improved.
In yet another implementation, as shown in FIG. 5, the method includes: step S501 to step S503, where step S501 and step S502 are the same as or similar to the execution process of step S101 and step S102, respectively, and are not described herein again.
Step S503, generating a ranking list for the first target data and the second target data according to the ranking result, so as to feed back the ranking list to the client.
In the embodiment of the application, after the server obtains the ranking result, a ranking list aiming at the first target data and the second target data is generated according to the ranking result, so that the ranking list is fed back to the client side, and a user of the client side can check the ranking list conveniently. When the method is actually applied, the server can generate a ranking list aiming at the first target data and the second target data according to the ranking result when receiving a ranking list acquisition request from the client; the ranking list for the first target data and the second target data may be generated in advance according to the ranking result, and stored in a designated storage device, so that the ranking list stored in the storage device is directly called and sent to the client when a ranking list acquisition request from the client is received for use.
In practice, a leaderboard acquisition request from a client is typically generated and sent to a server when the client detects a user's operation with respect to a preset control (e.g., a "ranking" control).
Example two
In order to further illustrate the method provided by the present application, a game application X will be described in detail below.
Assuming that the users of game application X include user1, user2 … … user userN, the target data is used to identify game achievements for the game users. Assuming that the user1 wants to view the score rank of the user in the game application X, when the server obtains the geographic position of the user1, determining second users according to the geographic position of the user1, namely, taking the geographic position of the user1 as the center, and determining a predetermined number of second users. Assuming that the server determines 1000 second users with the geographic position of the user1 as the center, the server acquires all users of the application software, calculates the distance between each user and the user1, and selects 1000 users closest to the user1 as the second users. The server acquires first target data of the first user and second target data of the second user, ranks the first target data and the second target data based on a preset ranking rule to obtain a ranking result aiming at game achievements, so that the server generates a ranking list according to the ranking result, and feeds the generated ranking list back to the client after receiving a ranking list acquisition request sent by the client so as to be convenient for the user to check.
Example III
An embodiment of the present application provides a user-ranked data processing apparatus, as shown in fig. 6, the user-ranked data processing apparatus 60 may include: a data acquisition module 601 and a data processing module 602, wherein,
the data acquisition module 601 is configured to acquire a geographic location of a first user, and determine a predetermined number of second users according to the geographic location of the first user, where the first user and the second user are users of a specified application;
the data processing module 602 is configured to obtain first target data of a first user and second target data of a second user, and sort the first target data and the second target data based on a preset sorting rule, so as to obtain a sorting result.
According to the embodiment of the application, the geographic position of the first user is obtained, and the predetermined number of second users are determined according to the geographic position of the first user, so that after the first target data of the first user and the second target data of the second user are obtained, the first target data and the second target data are sequenced based on the preset sequencing rule to obtain the sequencing result, the second user is determined by taking the first user as the center, the purpose of reducing the range of the subsequent users needing to be sequenced is achieved, the problem that the current application software server does not distinguish the users, the target data of all the users or all the users with a certain function in the appointed application are directly sequenced, the subsequent server generates and pushes the same ranking list to the clients of different users at the same time point according to the sequencing result is solved, the user needing to be sequenced is determined at the same time point by taking the different users as the center, and the different sequencing results are obtained, and the problem of lack of pertinence of the sequencing result of the application software is solved; meanwhile, the preset ordering rule is convenient for the user to set the ordering result in a personalized way, and the operability of the user on the ordering result is improved.
Further, the data acquisition module 501 is configured to:
calculating the distance between each user in the appointed application and the first user, and sequencing each user in the appointed application according to the sequence from near to far to obtain a first sequencing result;
and taking the first predetermined number of users in the first sequencing result as second users.
Further, the data acquisition module 501 is further configured to:
and taking the first ranked predetermined number of users with the second target data in the first ranked result as second users.
Further, the data processing module 503 is further configured to:
detecting whether the geographic position of the first user changes according to a first preset detection period;
if a change occurs, the step of determining a predetermined number of second users based on the geographical location of the first user is re-performed.
Further, the data processing module 503 is further configured to:
detecting whether the geographic position of the second user changes according to a second preset detection period;
if a change occurs, the step of determining a predetermined number of second users based on the geographical location of the first user is re-performed.
Further, the data processing module 503 is further configured to:
and when detecting that the first target data and/or the second target data in the sequencing result change, re-executing the step of sequencing the first target data and the second target data based on a preset sequencing rule.
Further, the data processing module 503 is further configured to:
generating a ranking list aiming at the first target data and the second target data according to the ranking result, and feeding the ranking list back to the client. After the data processing module obtains the ranking result, the ranking list obtaining request from the client is received, ranking lists aiming at the first target data and the second target data are generated according to the ranking result, and the ranking lists are fed back to the client so that the client user can check the ranking lists.
The user ranking data processing apparatus of the present embodiment may execute the user ranking data processing method provided in the first embodiment of the present application, and the implementation principle is similar, and will not be described herein.
Example IV
An embodiment of the present application provides an electronic device, as shown in fig. 7, an electronic device 700 shown in fig. 7 includes: a processor 7001 and a memory 7003. The processor 7001 is connected to a memory 7003, for example, via a bus 7002. Further, the electronic device 700 may also include a transceiver 7004. It should be noted that, in practical applications, the transceiver 7004 is not limited to one, and the structure of the electronic device 700 is not limited to the embodiment of the present application.
The processor 7001 may be a CPU, general purpose processor, DSP, ASIC, FPGA or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, modules and circuits described in connection with this disclosure. The processor 7001 may also be a combination implementing a computing function, e.g. comprising one or more microprocessors, a combination of a DSP and a microprocessor, etc.
Bus 7002 may include a path to transfer information between the aforementioned components. Bus 7002 may be a PCI bus or an EISA bus, or the like. The bus 7002 may be classified into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in fig. 7, but not only one bus or one type of bus.
The memory 7003 may be a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, but is not limited to EEPROM, CD-ROM or other optical disk storage, optical disk storage (including compact disks, laser disks, optical disks, digital versatile disks, blu-ray disks, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 7003 is used for storing application program codes for executing the inventive arrangements and is controlled to be executed by the processor 7001. Processor 7001 is operative to execute application code stored in memory 7003 to implement the actions of the user-ranked data processing means provided by the embodiment shown in fig. 6.
According to the embodiment of the application, the geographic position of the first user is obtained, and the preset number of second users are determined according to the geographic position of the first user, so that after the first target data of the first user and the second target data of the second user are obtained, the obtained target data are sequenced based on the preset sequencing rule to obtain the sequencing result, the second user is determined by taking the first user as the center, the purpose of reducing the range of the subsequent users needing to be sequenced is achieved, the problem that the current application software server does not distinguish the users, the target data of all the users or all the users with a certain function in the appointed application are directly sequenced, the subsequent server is generated and pushed to the same ranking list problem of the clients of different users at the same time point according to the sequencing result is solved, the user needing to be sequenced is determined at the same time point by taking the different users as the center, and the problem that the sequencing result of the application software is lack of pertinence is solved; meanwhile, the preset ordering rule is convenient for the user to set the ordering result in a personalized way, and the operability of the user on the ordering result is improved.
Example five
The embodiment of the application provides a computer readable storage medium, and a computer program is stored on the computer readable storage medium, and when the program is executed by a processor, the method in the embodiment is implemented.
The embodiment of the application provides a computer readable storage medium, which is compared with the prior art, acquires the geographic position of a first user, determines a preset number of second users according to the geographic position of the first user, so that after acquiring first target data of the first user and second target data of the second user, sorting the first target data and the second target data based on a preset sorting rule to obtain a sorting result, determining the second user by taking the first user as a center, further achieving the purpose of narrowing the range of users needing to be sorted, solving the problem that the prior application software server does not distinguish the users, directly sorts the target data of all users or all users with a certain function in a designated application, and the resulting subsequent server generates and pushes the same ranking list problem to different user clients according to the sorting result; meanwhile, the preset ordering rule is convenient for the user to set the ordering result in a personalized way, and the operability of the user on the ordering result is improved.
The embodiment of the application provides a computer readable storage medium suitable for the method embodiment. And will not be described in detail herein.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited in order and may be performed in other orders, unless explicitly stated herein. Moreover, at least some of the steps in the flowcharts of the figures may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order of their execution not necessarily being sequential, but may be performed in turn or alternately with other steps or at least a portion of the other steps or stages.
The foregoing is only a partial embodiment of the present application, and it should be noted that it will be apparent to those skilled in the art that modifications and adaptations can be made without departing from the principles of the present application, and such modifications and adaptations are intended to be comprehended within the scope of the present application.
Claims (9)
1. A method of user-ranked data processing, comprising:
acquiring the geographic position of a first user, and determining a preset number of second users according to the geographic position of the first user, wherein the first user and the second users are users of a designated application;
acquiring first target data of the first user and second target data of the second user, and sequencing the first target data and the second target data based on a preset sequencing rule to obtain a sequencing result containing the first target data and the second target data at the same time;
generating a ranking list aiming at the first target data and the second target data according to the ranking result, and feeding the ranking list back to the client.
2. The method of claim 1, wherein said determining a predetermined number of second users based on the geographic location of the first user comprises:
calculating the distance between each user in the appointed application and the first user, and sequencing each user in the appointed application according to the sequence from near to far to obtain a first sequencing result;
and taking the first predetermined number of users in the first sequencing result as second users.
3. The method of claim 2, wherein the method comprises, prior to ranking the top predetermined number of users in the first ranking result as second users:
and taking the first ranked preset number of users with second target data in the first ranking result as second users.
4. The method according to claim 1, characterized in that the method further comprises:
detecting whether the geographic position of the first user changes according to a first preset detection period;
and if the first user is changed, the step of determining a predetermined number of second users according to the geographical position of the first user is re-executed.
5. The method according to claim 1, characterized in that the method further comprises:
detecting whether the geographic position of the second user changes according to a second preset detection period;
and if the first user is changed, the step of determining a predetermined number of second users according to the geographical position of the first user is re-executed.
6. The method according to claim 1, wherein the method further comprises:
and when detecting that the first target data and/or the second target data change in the sorting result, re-executing the step of sorting the first target data and the second target data based on a preset sorting rule.
7. A user-ranked data processing apparatus, comprising:
the data acquisition module is used for acquiring the geographic position of a first user and determining a preset number of second users according to the geographic position of the first user, wherein the first user and the second users are users of a designated application;
the data processing module is used for acquiring first target data of the first user and second target data of the second user, and sequencing the acquired first target data and second target data based on a preset sequencing rule to obtain a sequencing result containing the first target data and the second target data at the same time;
generating a ranking list aiming at the first target data and the second target data according to the ranking result, and feeding the ranking list back to the client.
8. An electronic device, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to: a data processing method of performing user ranking according to any of claims 1-6.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the user-ranked data processing method according to any one of claims 1-6.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1489738A (en) * | 2001-01-26 | 2004-04-14 | Ħ��������˾ | Storing data based on proximity |
| CN102571910A (en) * | 2011-11-16 | 2012-07-11 | 腾讯科技（深圳）有限公司 | Method for searching nearby users in social network, and server |
| CN103532830A (en) * | 2013-10-17 | 2014-01-22 | 广州华多网络科技有限公司 | Method and device for generating user list |
| CN104307174A (en) * | 2014-10-14 | 2015-01-28 | 腾讯科技（深圳）有限公司 | Method and device of showing user game data |
| CN105284099A (en) * | 2013-06-08 | 2016-01-27 | 苹果公司 | Automatically adapting user interfaces for hands-free interaction |
| CN105955969A (en) * | 2015-11-12 | 2016-09-21 | 中国银联股份有限公司 | User behavior data ranking method and device |
| JP2017113170A (en) * | 2015-12-22 | 2017-06-29 | 株式会社バンダイナムコエンターテインメント | Program and game device |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9210379B2 (en) * | 2014-02-27 | 2015-12-08 | Google Inc. | Displaying a presenter during a video conference |
| CN105095311B (en) * | 2014-05-22 | 2019-07-09 | 阿里巴巴集团控股有限公司 | The processing method of promotion message, apparatus and system |
-
2019
- 2019-03-11 CN CN201910182174.7A patent/CN111695044B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1489738A (en) * | 2001-01-26 | 2004-04-14 | Ħ��������˾ | Storing data based on proximity |
| CN102571910A (en) * | 2011-11-16 | 2012-07-11 | 腾讯科技（深圳）有限公司 | Method for searching nearby users in social network, and server |
| CN105284099A (en) * | 2013-06-08 | 2016-01-27 | 苹果公司 | Automatically adapting user interfaces for hands-free interaction |
| CN103532830A (en) * | 2013-10-17 | 2014-01-22 | 广州华多网络科技有限公司 | Method and device for generating user list |
| CN104307174A (en) * | 2014-10-14 | 2015-01-28 | 腾讯科技（深圳）有限公司 | Method and device of showing user game data |
| CN105955969A (en) * | 2015-11-12 | 2016-09-21 | 中国银联股份有限公司 | User behavior data ranking method and device |
| JP2017113170A (en) * | 2015-12-22 | 2017-06-29 | 株式会社バンダイナムコエンターテインメント | Program and game device |
Non-Patent Citations (1)
| Title |
|---|
| "在线社交网络用户影响力量化研究";仇呈燕;中国优秀硕士学位论文全文数据库;全文 * |
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