When the name or address included in the POI data submitted by the user contains the wind control entry hit by using the risk keyword data, it can be confirmed that the POI data has a risk.

The risk coordinate data may be a designated area, for example, a circular area with a 1 km radius and a skyhook as a center. When the coordinates included in the POI data submitted by the user are within the designated area, it can be confirmed that the POI data is at risk.

The risk picture data can be designated picture characteristic information, such as yellow-related information, gambling-related information and the like. When the pictures included in the POI data submitted by the user are identified to contain the characteristic information of the specified pictures, the POI data can be confirmed to have risks.

The risky user data may include user data of a user who may be at risk, such as an identifier of a terminal used by the user, an IP address of the terminal used by the user, and the like. When the terminal identifier used by the user or the IP address of the terminal used by the user is in the risk user data, it can be confirmed that the POI data submitted by the user has a risk. Further, user data of the user is added to the risky user data.

The risk POI data may include POI data of POIs that may be at risk, such as names, addresses, coordinates, pictures, phones, and the like of POIs. When the name or address included in the POI data provided by the user is in the risky user data, it may be confirmed that the POI data submitted by the user is risky. Further, the POI data is added to the risk POI data.

Optionally, in a possible implementation manner of this embodiment, in 103, the online processing of the POI data may be specifically executed according to the risk identification processing result, or the online processing of the POI data is not executed.

For example, if the risk identification processing result indicates that no risk exists, the online processing of the POI data may be performed;

or, for another example, if the risk identification processing result indicates that there is a risk, the online processing of the POI data may not be performed.

Further, if the risk identification processing result indicates that there is a risk, the POI data discarding process may be performed.

By this, the work of adding POIs on the electronic map is completed.

In this embodiment, risk identification processing is performed on the POI data according to the historical behavior data of the user and a pre-established risk database by acquiring the POI data of the POI submitted by the user to obtain a risk identification processing result, so that online decision processing can be performed on the POI data according to the risk identification processing result, and the POI data which is not allowed to be online can be identified in time.

It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.

In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.

Fig. 2 is a schematic structural diagram of a POI data processing apparatus according to another embodiment of the present invention, as shown in fig. 2. The POI data processing apparatus of the present embodiment may include anacquisition unit 21, arecognition unit 22, and adecision unit 23. The acquiringunit 21 is configured to acquire POI data of a POI submitted by a user; theidentification unit 22 is configured to perform risk identification processing on the POI data according to the historical behavior data of the user and a pre-established risk database to obtain a risk identification processing result; and thedecision unit 23 is configured to perform online decision processing on the POI data according to the risk identification processing result.

It should be noted that, part or all of the POI data processing apparatus provided in this embodiment may be an application located in the local terminal, or may also be a functional unit such as a Software Development Kit (SDK) or a plug-in provided in the application located in the local terminal, or may also be a processing engine located in a server on the network side, or may also be a distributed system located on the network side, which is not particularly limited in this embodiment.

Optionally, in a possible implementation manner of this embodiment, the risk identification data may include, but is not limited to, at least one of the following data:

risk keyword data;

risk coordinate data;

risk picture data;

risk user data; and

risk POI data.

Optionally, in a possible implementation manner of this embodiment, thedecision unit 23 may be specifically configured to, if the risk identification processing result indicates that no risk exists, execute online processing of the POI data; and if the risk identification processing result indicates that a risk exists, the POI data is not executed with online processing.

In this implementation manner, thedecision unit 23 may be further configured to perform discarding processing on the POI data if the risk identification processing result indicates that there is a risk.

It should be noted that the method in the embodiment corresponding to fig. 1 may be implemented by the processing apparatus of POI data provided in this embodiment. For a detailed description, reference may be made to relevant contents in the embodiment corresponding to fig. 1, and details are not described here.

In this embodiment, the POI data of the POI submitted by the user is acquired by the acquisition unit, and then the identification unit performs risk identification processing on the POI data according to the historical behavior data of the user and the pre-established risk database to obtain a risk identification processing result, so that the decision unit can perform online decision processing on the POI data according to the risk identification processing result, thereby identifying the POI data which is not allowed to be online in time.

FIG. 3 illustrates a block diagram of an exemplary computer system/server 12 suitable for use in implementing embodiments of the present invention. The computer system/server 12 shown in FIG. 3 is only one example and should not be taken to limit the scope of use or functionality of embodiments of the present invention.

As shown in FIG. 3, computer system/server 12 is in the form of a general purpose computing device. The components of computer system/server 12 may include, but are not limited to: one or more processors or processing units 16, a storage device or system memory 28, and abus 18 that couples various system components including the system memory 28 and the processing unit 16.

Bus 18 represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, such architectures include, but are not limited to, Industry Standard Architecture (ISA) bus, micro-channel architecture (MAC) bus, enhanced ISA bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnect (PCI) bus.

Computer system/server 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer system/server 12 and includes both volatile and nonvolatile media, removable and non-removable media.

The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/orcache memory 32. The computer system/server 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only,storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 3, and commonly referred to as a "hard drive"). Although not shown in FIG. 3, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected tobus 18 by one or more data media interfaces. System memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.

A program/utility 40 having a set (at least one) ofprogram modules 42 may be stored, for example, in system memory 28,such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment.Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.

The computer system/server 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 26, etc.), with one or more devices that enable a user to interact with the computer system/server 12, and/or with any devices (e.g., network card, modem, etc.) that enable the computer system/server 12 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 44. Also, the computer system/server 12 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network, such as the Internet) via the network adapter 20. As shown, network adapter 20 communicates with the other modules of computer system/server 12 viabus 18. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the computer system/server 12, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, implementing the POI data processing method provided in the embodiment corresponding to fig. 1.

Another embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for processing POI data provided in the embodiment corresponding to fig. 1.

In particular, any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.

In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or page components may be combined or integrated into another system, or some features may be omitted or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A method for processing POI data, comprising:

according to the historical behavior data of the user and a pre-established risk database, carrying out risk identification processing on risk identification data on the POI data to obtain a risk identification processing result;

2. The method of claim 1, wherein the risk identification data comprises at least one of:

risk keyword data;

risk coordinate data;

risk picture data;

risk user data; and

risk POI data.

3. The method according to claim 1, wherein the performing an online decision-making process on the POI data according to the risk identification processing result comprises:

4. The method according to any one of claims 1 to 3, wherein the performing online decision processing on the POI data according to the risk identification processing result further comprises:

5. An apparatus for processing POI data, comprising:

the system comprises an acquisition unit, a processing unit and a display unit, wherein the acquisition unit is used for acquiring POI data of POI submitted by a user;

the identification unit is used for carrying out risk identification processing on the POI data according to historical behavior data of the user and a pre-established risk database so as to obtain a risk identification processing result;

6. The apparatus of claim 5, wherein the risk identification data comprises at least one of:

risk keyword data;

risk coordinate data;

risk picture data;

risk user data; and

risk POI data.

7. Device according to claim 5, wherein the decision unit is specifically configured to

8. The apparatus according to any of claims 5 to 7, wherein the decision unit is further configured to determine whether the apparatus is suitable for use in a mobile communication system

9. An apparatus, characterized in that the apparatus comprises:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-4.

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 to 4.