CN111860503A

CN111860503A - Information point validity identification method, device, equipment and storage medium

Info

Publication number: CN111860503A
Application number: CN202010689153.7A
Authority: CN
Inventors: 刘庆军; 张绍瑞; 罗军
Original assignee: Beijing Qihoo Technology Co Ltd
Current assignee: Beijing Qihoo Technology Co Ltd
Priority date: 2020-07-16
Filing date: 2020-07-16
Publication date: 2020-10-30

Abstract

The invention discloses an information point validity identification method, which comprises the following steps: the method comprises the steps of obtaining moving tracks of a plurality of mobile terminals in a preset time period, and obtaining information points POI to be identified; determining a target mobile terminal staying at the POI to be identified according to the moving track of each mobile terminal in a preset time period; and identifying the effectiveness of the POI to be identified according to the length of the stay time of the target mobile terminal at the POI to be identified. The invention also discloses an information point validity identification device, equipment and a storage medium. The information point validity identification method provided by the invention can identify the validity of the POI with high timeliness.

Description

Information point validity identification method, device, equipment and storage medium

Technical Field

The present invention relates to the field of geographic information technology, and in particular, to a method, an apparatus, a device, and a storage medium for identifying validity of an information point.

Background

POI (point Of interest) information point (also can be translated as an interest point) is used as an important carrier Of Location information in a geographic Location Service, and the real-time property Of POI data, the reliability and the universality Of data sources directly influence the development Of Location Based Service (LBS) Service, so that a failed POI needs to be identified in time.

Currently, the effectiveness identification of the POI is mainly performed by user feedback of a map navigation system or manual operation of a map navigation system service provider, such as manual on-site collection and confirmation. However, the requirement of the user of the LBS service on the effectiveness and accuracy of data in the LBS service is very high, the user feedback mode is not time-efficient, and the mode of collecting through manual field needs a lot of time to effectively identify whether the POI fails, and the time efficiency is also very low.

The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.

Disclosure of Invention

The invention mainly aims to provide a method, a device, equipment and a storage medium for identifying the validity of an information Point (POI), and aims to solve the technical problem of low timeliness of identifying the validity of the POI.

In order to achieve the above object, the present invention provides an information point validity identification method, including the following steps:

the method comprises the steps of obtaining moving tracks of a plurality of mobile terminals in a preset time period, and obtaining information points POI to be identified;

determining a target mobile terminal staying at the POI to be identified according to the moving track of each mobile terminal in a preset time period;

And identifying the effectiveness of the POI to be identified according to the length of the stay time of the target mobile terminal at the POI to be identified.

Optionally, the step of identifying the validity of the POI to be identified according to the length of the stay time of the target mobile terminal at the POI to be identified includes:

obtaining the staying time length of the target mobile terminal at the POI to be identified;

judging whether the length of the stay time is greater than or equal to the preset time of the POI to be identified;

and if the stay time length is less than the preset time length, identifying the POI to be identified as an invalid POI.

Optionally, before the step of determining whether the length of the stay time is greater than or equal to a preset time length of the POI to be identified, the method further includes:

and determining a preset time length according to the category of the POI to be identified and the position scene information of the POI to be identified.

Optionally, after the step of determining whether the length of the stay time is greater than or equal to a preset time length of the POI to be identified, the method further includes:

if the length of the stay time is greater than or equal to the preset time length, acquiring the stay time period of the target mobile terminal staying at the POI to be identified;

Judging whether the stay time period is within a preset stay time period of the POI to be identified;

and if not, identifying the POI to be identified as an invalid POI.

Optionally, before the step of determining whether the stay time period is within a preset stay time period of the POI to be identified, the method further includes:

and determining a preset stay time period according to the category of the POI to be identified and the position scene information of the POI to be identified.

Optionally, the preset stay time period is a historical stay time period of the target mobile terminal in the POI to be identified;

the step of judging whether the stay time period is within a preset stay time period of the POI to be identified comprises the following steps:

and judging whether the overlap ratio of the historical stay time period and the stay time period is greater than or equal to a preset threshold value or not.

Optionally, if the length of the stay time is smaller than the preset time, the step of identifying the POI to be identified as an invalid POI includes:

if the length of the stay time is less than the preset duration, network information including POI data to be identified is obtained;

judging whether the POI to be identified meets a preset condition or not according to the network information and the preset time period;

And if the POI to be identified does not meet the preset condition, identifying the POI to be identified as an invalid POI.

Optionally, the preset conditions include: whether the last feedback time of the user of the network information is within a preset time period or not;

the step of judging whether the POI to be identified meets the preset conditions or not according to the network information and the preset time period comprises the following steps:

extracting user feedback information based on the network information;

extracting the last feedback time of the user based on the user feedback information;

and judging whether the last feedback time of the user is within a preset time period.

Optionally, the step of obtaining the moving tracks of the multiple mobile terminals in the preset time period and obtaining the information points to be identified includes:

obtaining the moving tracks of a plurality of mobile terminals in at least 2 adjacent preset time periods;

and determining POI to be identified based on the moving tracks of the plurality of mobile terminals.

Optionally, the step of determining POIs to be identified based on the moving track includes:

obtaining ideal movement tracks of each mobile terminal every day in at least 2 adjacent preset time periods based on the movement tracks of the mobile terminals;

And determining POI to be identified based on at least 2 ideal movement tracks of at least 1 mobile terminal.

In order to achieve the above object, the present invention also provides an information point validity identifying apparatus including:

the acquisition module is used for acquiring the moving tracks of a plurality of mobile terminals in a preset time period and acquiring the POI (point of interest) of the information to be identified;

the determining module is used for determining a target mobile terminal staying at the POI to be identified according to the moving track of each mobile terminal in a preset time period;

and the identification module is used for identifying the effectiveness of the POI to be identified according to the staying time length of the target mobile terminal at the POI to be identified.

Optionally, the identification module is further configured to obtain a length of a stay time of the target mobile terminal at the POI to be identified; judging whether the length of the stay time is greater than or equal to the preset time of the POI to be identified; and if the stay time length is less than the preset time length, identifying the POI to be identified as an invalid POI.

Optionally, the identification module is further configured to determine the preset time length according to the category of the to-be-identified POI and the location scene information of the to-be-identified POI.

Optionally, the identification module is further configured to obtain a staying time period for the target mobile terminal to stay at the POI to be identified if the staying time length is greater than or equal to the preset time length; judging whether the stay time period is within a preset stay time period of the POI to be identified; and if not, identifying the POI to be identified as an invalid POI.

Optionally, the identification module is further configured to determine a preset stay time period according to the category of the to-be-identified POI and the location scene information of the to-be-identified POI.

Optionally, the identification module is further configured to determine whether a coincidence degree between the historical staying time period and the staying time period is greater than or equal to a preset threshold.

Optionally, the identification module is further configured to acquire network information including POI data to be identified if the length of the stay time is smaller than the preset duration; judging whether the POI to be identified meets a preset condition or not according to the network information and the preset time period; and if the POI to be identified does not meet the preset condition, identifying the POI to be identified as an invalid POI.

Optionally, the obtaining module is further configured to obtain moving trajectories of the multiple mobile terminals in at least 2 adjacent preset time periods; and determining POI to be identified based on the moving tracks of the plurality of mobile terminals.

Optionally, the obtaining module is further configured to obtain, based on the movement trajectories of the plurality of mobile terminals, an ideal movement trajectory of each mobile terminal for at least 2 adjacent preset time periods; and determining POI to be identified based on at least 2 ideal movement tracks of at least 1 mobile terminal.

In addition, in order to achieve the above object, the present invention also provides an information point validity identification apparatus, including: the system comprises a memory, a processor and an information point validity identification program stored on the memory and capable of running on the processor, wherein the information point validity identification program is configured to realize the steps of the information point validity identification method.

In order to achieve the above object, the present invention further provides a storage medium having stored thereon an information point validity identification program which, when executed by a processor, implements the steps of the information point validity identification method as described above.

According to the information point validity identification method, the device, the equipment and the storage medium, the target mobile terminal which is determined to stay at the POI to be identified is sent out from the plurality of mobile terminals through the moving track, and the stay time length of the target mobile terminal at the POI to be identified is matched with the length of the stay time of the POI to be identified in the preset time period, so that whether the POI is invalid or not is actively and quickly identified. The technical effect of identifying the effectiveness of the POI with high timeliness is achieved, and the timeliness requirement of POI effectiveness identification is met.

Drawings

Fig. 1 is a schematic diagram of an information point validity identification apparatus according to an embodiment of the present invention;

FIG. 2 is a flowchart illustrating a first embodiment of a method for identifying validity of an information point according to the present invention;

FIG. 3 is a detailed flowchart of step S300 in FIG. 1;

fig. 4 is a flowchart illustrating a second embodiment of a method for identifying validity of an information point according to an embodiment of the present invention;

fig. 5 is a schematic flowchart of a third embodiment of a method for identifying validity of an information point according to an embodiment of the present invention;

fig. 6 is a detailed flowchart of step S100 of a fourth embodiment of a method for identifying validity of an information point according to an embodiment of the present invention;

fig. 7 is a schematic diagram of an information point validity identification apparatus according to an embodiment of the present invention.

The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.

Detailed Description

It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

POI (Point Of interest) information point (also can be translated as an interest point) is used as an important carrier Of position information in the geographic position service business, and a user retrieves the POI to obtain navigation information when using a navigation system. Therefore, the real-time property of POI data, the reliability and the universality of data sources directly influence the development of LBS (Location Based Service) services. Thereby requiring timely identification of failed POIs. Currently, the effectiveness identification of the POI is mainly determined by means of user feedback of a map navigation system or manual field operation of a map navigation system service provider, for example, methods such as manual live video acquisition confirmation and the like. However, the requirement of the user of the LBS service on the effectiveness and accuracy of data in the LBS is very high, and the way of user feedback is not stable and time-efficient, which is a very passive choice. And the collection mode through manual field operation consumes long time and has low timeliness.

To solve this problem, various embodiments of the information point validity identification method of the present invention are proposed. The interest point effectiveness identification method provided by the invention determines the target mobile terminal staying at the POI to be identified based on the moving track of the mobile terminal, and then judges whether the POI to be identified is invalid or not by judging whether the staying time length of the target mobile terminal in the coordinate area where the POI to be identified is located in a preset time period is matched with the POI to be identified or not.

Referring to fig. 1, fig. 1 is a schematic structural diagram of a recommendation device of an information point validity identification method for a hardware operating environment according to an embodiment of the present invention.

The device may be a User Equipment (UE) such as a Mobile phone, smart phone, laptop, digital broadcast receiver, Personal Digital Assistant (PDA), tablet computer (PAD), handheld device, vehicular device, wearable device, computing device or other processing device connected to a wireless modem, Mobile Station (MS), or the like. The device may be referred to as a user terminal, portable terminal, desktop terminal, etc.

Generally, the apparatus comprises: at least one processor 301, a memory 302 and an information point validity identification program stored on said memory and executable on said processor, said information point validity identification program being configured to implement the steps of the information point validity identification method as described before.

The processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 301 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 301 may also include a main processor and a coprocessor, where the main processor is a processor for processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 301 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. The processor 301 may further include an AI (Artificial Intelligence) processor for processing an operation related to the information point validity recognition so that the information point validity recognition model can be trained and learned autonomously, thereby improving efficiency and accuracy.

Memory 302 may include one or more computer-readable storage media, which may be non-transitory. Memory 302 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 302 is used to store at least one instruction for execution by the processor 801 to implement the information point validity identification method provided by the method embodiments herein.

In some embodiments, the terminal may further include: a communication interface 303 and at least one peripheral device. The processor 301, the memory 302 and the communication interface 303 may be connected by a bus or signal lines. Various peripheral devices may be connected to communication interface 303 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 304, a display screen 305, and a power source 306.

The communication interface 303 may be used to connect at least one peripheral device related to I/O (Input/Output) to the processor 301 and the memory 302. The communication interface 303 is used for receiving the movement tracks of the plurality of mobile terminals uploaded by the user and other data through the peripheral device. In some embodiments, processor 301, memory 302, and communication interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, the memory 302 and the communication interface 303 may be implemented on a single chip or circuit board, which is not limited in this embodiment.

The Radio Frequency circuit 304 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuit 304 communicates with a communication network and other communication devices through electromagnetic signals, so as to obtain the movement tracks and other data of a plurality of mobile terminals. The rf circuit 304 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 304 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 304 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (wireless fidelity) networks. In some embodiments, the rf circuit 304 may further include NFC (Near field communication) related circuits, which are not limited in this application.

The display screen 305 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 305 is a touch display screen, the display screen 305 also has the ability to capture touch signals on or over the surface of the display screen 305. The touch signal may be input to the processor 301 as a control signal for processing. At this point, the display screen 305 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display screen 305 may be one, the front panel of the electronic device; in other embodiments, the display screens 305 may be at least two, respectively disposed on different surfaces of the electronic device or in a folded design; in still other embodiments, the display screen 305 may be a flexible display screen disposed on a curved surface or a folded surface of the electronic device. Even further, the display screen 305 may be arranged in a non-rectangular irregular figure, i.e. a shaped screen. The Display screen 305 may be made of LCD (liquid crystal Display), OLED (Organic Light-Emitting Diode), and the like.

The power supply 306 is used to power various components in the electronic device. The power source 306 may be alternating current, direct current, disposable or rechargeable. When the power source 306 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.

It will be understood by those skilled in the art that the structure shown in fig. 1 does not constitute a limitation of the information point validity recognition apparatus, and may include more or less components than those shown, or a combination of some components, or a different arrangement of components.

An embodiment of the present invention provides an information point validity identification method, and referring to fig. 2, fig. 2 is a schematic flow diagram of a first embodiment of the information point validity identification method according to the present invention.

In this embodiment, the information point validity identification method includes the following steps:

step S100, obtaining the moving tracks of a plurality of mobile terminals in a preset time period, and obtaining the POI (point of interest) of the information to be identified.

In particular, in practical applications, the mobile terminal may be various types of electronic devices such as a mobile phone, a tablet computer, or a wearable device. The POI to be identified may be a specific POI specified by the user in advance, or may be screened by the user in the process of processing the big data, for example, in the process of processing the movement tracks of the plurality of mobile terminals, which is not limited in this embodiment.

The moving track of the mobile terminal comprises position information and a time sequence and is used for representing the activity track of a person with behavior ability and carrying the mobile terminal so as to represent when and where the mobile terminal is located and further represent when and where the person with behavior ability is located.

In addition, it should be noted that, in the present embodiment, the preset time period may be specified by a user. For example, the predetermined period of time may be daily, every third day, or weekly, or even monthly.

In some embodiments, in order to improve the accuracy of POI identification to correctly reflect normal active time or business time of the POI, the preset time period may be further divided into a working day preset time period and a rest day preset time period.

For example, for a certain breakfast point POI in CBD (Central Business District), the Business time of the POI is generally working day, and the POI is in off state on the rest day or in a state similar to off state like menkowski. At this time, if the neighboring preset time periods include a holiday or a working day, it is difficult to accurately reflect the validity of the POI based on the validity analysis of the neighboring preset time periods. Therefore, in the present embodiment, the preset time period may be only a week day, for example, monday through friday.

It is easy to understand that the mobile terminal to which the movement trace data that can be used in this embodiment belongs may be a mobile terminal that partially or completely passes through or resides in the coordinate area, the street, or the city where the POI to be identified is located within a certain preset time period.

And S200, determining a target mobile terminal staying at the POI to be identified according to the moving track of each mobile terminal in a preset time period.

It is worth mentioning that each POI contains four pieces of information: name, category, coordinates, classification. The name is the key word used for the user to retrieve the POI. Such as restaurant a, hotel B, and supermarket C. The categories and classifications of POIs may include multi-level classifications, which are known in particular in a particular map navigation system. For example, restaurant A may be of the restaurant category two. The coordinates of the POI are the actual coordinates used in the map navigation system to characterize the geographic location of the POI.

Specifically, the POI to be identified may be a circular area in the map navigation system, where a coordinate point of the POI to be identified is used as a circle center and a preset value is used as a radius, or a coordinate area surrounded or composed by a plurality of coordinates included in the POI to be identified in the map navigation system. The present embodiment does not limit this.

The mobile terminals comprise target mobile terminals associated with the POI to be identified and other mobile terminals not associated with the POI to be identified. In the step, the target mobile terminal is determined by whether the mobile terminal stays at the POI to be identified. The stay in the step refers to the behavior of the target mobile terminal between the first time point and the second time point when the target mobile terminal enters the area where the POI to be identified is located at the first time point and leaves the area where the POI to be identified is located at the second time point. For example, in step S100, the movement trajectories of the plurality of mobile terminals within the preset time period have been obtained, the movement trajectories include a plurality of positioning points and a time series related to the positioning points, and a target mobile terminal staying at the POI to be identified can be determined from the plurality of mobile terminals through the time series and the positioning points.

And step S300, carrying out validity identification on the POI to be identified according to the stay time length of the target mobile terminal at the POI to be identified.

The length of the stay time can be confirmed according to an entering time point when the target mobile terminal enters the POI to be identified and a leaving time point when the target mobile terminal leaves the POI to be identified. For example, by the above-described time point one and time point two. After the stay time length of the target mobile terminal at the POI to be identified is obtained, whether the POI to be identified is invalid or not can be judged according to the fact that whether the stay time length is matched with the POI to be identified or not.

It is easy to understand that a valid POI is associated with a person, that is, there is a normal business activity, and the normal business activity will make a target group, such as a tourist, a customer or a consumer, stay in the coordinate area of the POI, and the stay time of the target group will also match with the POI. In the step, the stay time length of the target crowd is represented by the stay time length of the target mobile terminal carried by the target crowd.

And it should be noted that the target mobile terminal may be multiple or single. When there are multiple target mobile terminals, the length of the target mobile terminal may be an average of multiple specific lengths of the target mobile terminals, for example, an average of the maximum value and the minimum value. Alternatively, the stay time length of the target mobile terminal may be a mode of a plurality of specific stay time lengths of the plurality of target mobile terminals, or a median. The present embodiment is not limited to this, and the present embodiment is not limited to this.

For convenience of understanding, the present embodiment specifically illustrates step S300.

For example, for a POI to be identified: and the hotel B can be determined to be located in a scenic spot far away from a busy zone according to the coordinate information and the classification information of the POI, the operation time range is 24 hours and the operation is performed all day long, the stay time length of the target mobile terminal is 0, namely no target mobile terminal exists, and no people pass through the scene. Therefore, the length of the stay time at the target mobile terminal can be considered to be not matched with that of hotel B, and therefore, the hotel B can be considered to have abnormal conditions and to have failed within the preset time period.

It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and those skilled in the art can make settings based on needs in practical applications, and the settings are not listed here.

Compared with the existing methods such as user feedback or manual field operation, the method and the system have the advantages that the stay time length of the corresponding target mobile terminal at the POI to be identified is obtained by utilizing the movement track generated by the mobile terminal in the using process, and whether the stay time length is matched with the POI or not is judged, so that whether the POI is invalid or not is actively and quickly identified. The technical effect of identifying the effectiveness of the POI with high timeliness is facilitated, and the timeliness requirement of POI effectiveness identification is met.

For easy understanding, referring to fig. 3, fig. 3 is a flowchart illustrating a specific implementation of step S300 of the information point validity identification method according to the present invention. The embodiment provides a specific implementation scheme for performing validity identification on the POI to be identified according to the stay time length of the target mobile terminal at the POI to be identified, which specifically includes:

step S301, obtaining the staying time length of the target mobile terminal at the POI to be identified.

Step S302, judging whether the stay time length is greater than or equal to the preset time length of the POI to be identified.

Specifically, the preset time duration in this step may be obtained according to information of the POI to be identified. The POI information in the map navigation system comprises the operation information and the historical data of the POI, so that the preset time length of the POI to be identified in normal operation can be determined based on the existing POI information in the map navigation information system. The preset duration may also be set based on subjective awareness of the user.

For convenience of understanding, the present embodiment specifically illustrates step S302.

For example, for a POI to be identified: and the restaurant A can be determined to be positioned in a certain business office building according to the existing coordinate information and the classification information, and the operating time range of the restaurant A is 10: 00-22: 30. And it can be determined that the meal peak time or the user activity time range of restaurant A is {12: 00-14: 00}, and for restaurant A, the preset time duration can be set to 30 min. And in the preset time period, the staying time period of the target mobile terminal is {12: 05-12: 08}, namely the length of the retention time is 3 min. Therefore, it can be considered that in the theoretical user activity time period of restaurant a, a great number of people are actually active and stay there in the coordinate area where restaurant a is located, but the stay time length of the target mobile terminal is not greater than or equal to the preset time length of 30min, which is not in accordance with the normal operation situation of restaurant a. Therefore, it can be considered that there is an abnormal situation in this POI of restaurant a within the preset time period.

Step S303, if the stay time length is less than the preset time length, identifying the POI to be identified as an invalid POI.

Specifically, after it is determined that there is an abnormal situation in the POI to be identified in step S302, it may be considered that there is an abnormal situation in the POI to be identified within a preset time period, and the POI to be identified may be identified as an invalid POI.

In some embodiments, step S302 is preceded by the steps of:

Specifically, the preset time length may be determined according to the category of the POI to be identified and the location scene of the POI to be identified. For example, for a POI to be identified: and the restaurant A is determined to be located in a certain business office building according to the information of the restaurant A in the map navigation system, the operating time range is 10: 00-22: 30, the main business object is a white collar for lunch, and the preset time can be set to be 30 min.

For example, for a POI to be identified: and the M restaurant is determined to be located in the airport according to the information of the M restaurant in the map navigation system, the operating time range of the M restaurant is 24 hours and all day, and Chinese fast food such as noodles and the like is mainly provided for tourists getting on the plane. At this time, the preset time period may be set to 15 min.

Further, based on the first embodiment of the information point validity identification method of the present invention, a second embodiment of the information point validity identification method of the present invention is proposed. Referring to fig. 4, fig. 4 is a flowchart illustrating a second embodiment of the information point validity identification method according to the present invention. In practical application, after the POI is transferred, some invalid POIs can still be identified through a preset stay time, but for a specific situation, for example, when the POI is transferred, the stay time of the target group may match the preset stay time, but the operation time period of the POI, the user activity time period, or the consumption peak period may be inconsistent. For example, for POIs to be identified: according to the existing information in the map navigation system, the peak dining time period of the restaurant A is {12: 00-14: 00}, but actually the restaurant A is assigned to an N coffee hall, the user activity time period of the N coffee hall is {15: 00-17: 00}, and the stay time lengths (preset time lengths) of the customers of the restaurant A and the restaurant B are both 30 min.

At this time, in order to improve the accuracy of the embodiment of the method to fit to the actual change of the POI, the embodiment of the method further includes the following steps after step S302:

Step S304, if the length of the stay time is greater than or equal to the preset time length, acquiring the stay time period of the target mobile terminal staying at the POI to be identified.

In addition, the stay time period in this embodiment is a general or general stay time period of the target mobile terminal in the coordinate area where the POI to be identified is located. Namely, the stay time period is used for reflecting the active condition of the target mobile terminal in the coordinate area where the POI to be identified is located in the preset time period. Thus, a dwell period may be a period of data having a specific start-stop time, or may be a set or class of periods of data having a plurality of specific periods.

For example, in one embodiment, the POI to be identified is restaurant a at CBD, which has an active operating time of { 11: 30-14: 30 }. At this time, in the preset time period, the set of the stay time periods of the 5 target mobile terminals is as follows: {12: 05-12: 30, 12: 06-12: 37, 12: 03-12: 32, 12: 04-12: 31,12: 10-12: 40, wherein after data processing, the staying time period of the 5 samples can be determined as {12: 05-12: 33}. At this time, the stay period is a period data having a specific start-stop time.

For example, in one embodiment, the POI to be identified is an M restaurant at an airport that is operating for 24 hours. At this time, in the preset time period, the stay time periods of 20 samples are distributed in 24 hours per day, when the data is processed, since the stay time periods of the crowd at the restaurant are not concentrated in a certain time period, 16 samples staying for more than 10 minutes in the POI to be identified can be screened out, and the actual stay time periods of the 16 samples are scattered in 24 hours, at this time, the set or the like formed by the actual stay time periods of the 16 samples is the stay time period used in this embodiment.

Specifically, step S304 obtains a staying time period of the target mobile terminal in the POI to be identified within a preset time period, that is, whether an active situation of the target mobile terminal in a coordinate area of the POI to be identified within the preset time period matches the POI to be identified is used to determine validity of the POI.

Step S305, judging whether the stay time period is within the preset stay time period of the POI to be identified.

And obtaining the preset stay time period according to the information of the POI to be identified. It is easy to understand that the POI information in the map navigation system includes the operation information of the POI and the historical data, so that the preset stay time period of the to-be-identified POI during normal operation can be determined based on the existing POI information in the map navigation system. The preset stay time period is a theoretical or ideal user active time range of the POI to be identified in the preset time period, and may also be set by the user based on subjective cognition.

In some embodiments, step S305 further comprises the following steps:

Specifically, the preset stay time period may be determined according to the category of the POI to be identified and the location scene of the POI to be identified. For example, for a POI to be identified: and the restaurant A is determined to be positioned in a certain business office building according to the existing information of the restaurant A in the map navigation system, the main business object is a white collar for eating lunch, the operating time range is 10: 00-22: 30, and the preset staying time period can be set to be 30 min.

Specifically, step S305 is configured to determine whether the POI to be identified has failed according to an active distribution situation of a target group carrying the target mobile terminal in a preset identification period, that is, whether a retention time period is within a preset time period of the POI to be identified, that is, an ideal user active distribution time period of the POI to be identified. When the stay time period is within the preset stay time period, it can be known that a large number of people still stay in the coordinate area in the theoretical user active time period of the POI within the preset time period, and the POI can be considered to be effective based on the fact. When the stay time period is not within the preset time period, it can be known that no one stays in the theoretical user activity time period of the POI within the preset identification period or passes through the coordinate area, and it can be considered that the POI has changed based on the situation, and there is an abnormal situation, such as a shop transfer situation.

For example, for a POI to be identified: restaurant a, in a preset time period: within a working day of a week in a month and a year, the restaurant A can be determined to be located in a business office building according to the position scene information and the category information of the POI, and the operating time range of the restaurant A is {10: 00-22: 30 }. And the dining peak time or the user activity time range of the restaurant A can be determined to be {12: 00-14: 00}, namely the preset stay time period is {12: 00-14: 00}, and the preset time duration is 30 min. In step S301, the length of the stay time of the target mobile terminal is obtained as 32 min. Therefore, the step S304 is entered as a result of the determination, and the staying time period of the target mobile terminal is {12: 05-12: 37}. In step S305, the staying time period {12: 05-12: 37} for a preset stay time period {12:00 ~ 14:00}, it can be said that in the theoretical user activity time period of restaurant A, a large number of people are actually active and stay there in the coordinate area where restaurant A is located. It can be considered that restaurant a is actually operating normally during the preset time period.

Or, for example, for a POI to be identified: restaurant a, in a preset time period: within a working day of a week in a month and a year, the restaurant A can be determined to be located in a business office building according to the position scene information and the category information of the POI, and the operating time range of the restaurant A is {10: 00-22: 30 }. And the dining peak time or the user activity time range of the restaurant A can be determined to be {12: 00-14: 00}, namely the preset stay time period is {12: 00-14: 00}, and the preset time duration is 30 min. In step S301, the length of the stay time of the target mobile terminal is obtained as 40 min. Therefore, as a result of the determination in step S302, the process proceeds to step S304, the staying time period of the target mobile terminal is {15: 30-16: 10}, and step S305 determines that the staying time period is not within {12: 00-14: 00} of the target mobile terminal, so that it can be considered that a large number of people are actually active in the coordinate area where restaurant a is located, stay there, but are not located within the theoretical user activity time range of restaurant a. It can be considered that the restaurant a is abnormally operated during the preset time period.

Or, for example, for a POI to be identified: hotel B, in the preset time period: within a certain month of a year, according to the coordinate information and the classification information of the POI, the hotel B can be determined to be located in a scenic spot far away from a prosperous area, the preset time length can be determined to be 12h, and the preset stay time period is {20: 00-8: 00 }. In step S301, the staying time length of the target mobile terminal is obtained as 12h, if the determination result in step S302 is positive, the process proceeds to step S304, the staying time period of the target mobile terminal is obtained as {10: 00-22: 00}, and step S305 determines that the staying time period is not within {20: 00-8: 00} of the target mobile terminal. Therefore, it can be considered that there is an abnormal situation in hotel B within the preset time period, for example, hotel B may have already transferred, become a place of amusement or a vacation mountain.

And step S306, if not, identifying the POI to be identified as an invalid POI.

At this time, after it is determined that the POI to be identified still has the abnormal condition through step S305, it may be considered that the POI to be identified has the abnormal condition within the preset time period, and the POI to be identified may be identified as the invalid POI.

It should be understood that the above is only for illustration and not for limitation of the technical solution of the present invention, and those skilled in the art can select the technical solution according to the needs in practical application, and the technical solution is not limited herein.

Based on the first embodiment and the second embodiment of the above information point validity identification method of the present invention, a third embodiment of the information point validity identification method of the present invention is proposed. Referring to fig. 5, fig. 5 is a flowchart illustrating a third embodiment of the information point validity identification method according to the present invention. In some practical applications, the stay time period is within a preset time period, but the peak value or the concentration condition is obviously different, in order to improve the identification accuracy of the embodiment of the method so as to be suitable for the actual change of the POI, the preset stay time period is a historical stay time period of the target mobile terminal in the POI to be identified within a historical preset time period.

At this time, step S305 is adjusted accordingly to:

and 305', judging whether the coincidence degree of the stay time period and the historical stay time period of the target mobile terminal is greater than or equal to a preset threshold value.

Specifically, for a certain POI to be identified, the POI to be identified has normal user activity data within a historical normal operation range, that is, the target mobile terminal stays within a coordinate area where the POI is located within a historical preset time period, so as to generate a historical stay time period. Compared with the stay time period determined by the user through the information of the POI to be identified, the historical stay time period can more accurately reflect the user active time period of the POI to be identified. It is easy to understand that the historical stay time period may also be generated based on a plurality of stay time period data generated by a plurality of target mobile terminals within a historical preset time period in the moving track within the coordinate area where the POI to be identified is located. For example, the historical stay period may be based on an average stay period determined from stay periods within a plurality of historical preset periods in which it has been determined that the POI to be identified is operating normally.

Therefore, whether the POI to be identified is effective or not is judged by judging whether the coincidence degree of the stay time period in the preset time period and the historical stay time period is larger than a preset threshold value or not. For example, when the stay time period is completely not coincident with the historical stay time period, it can be considered that an abnormal condition exists in the POI to be identified in the preset period. If the stay time period and the historical stay time period partially overlap with each other, but the degree of overlap between the stay time period and the historical stay time period is smaller than the preset threshold value, it may be reasonable to assume that the operation of the POI to be identified is changed within the preset time period, for example, a shop transfer may occur. If the stay time period and the historical stay time period are greater than the preset threshold, it can be considered that the POI to be identified is still in the normal operation process in the preset period.

In the above-mentioned practical application of the preset threshold, the user may set the preset threshold based on a subjective method, may determine the preset threshold based on information analysis based on a POI, and may learn the preset threshold based on a validity identification process of the POI, which is not listed here any more, and this embodiment is not limited to this.

For convenience of understanding, the present embodiment specifically describes step S305', for example.

For example, for a POI to be identified: and the supermarket C can be determined to be located near a certain street according to the existing position scene information and the category information, a large number of residential areas are arranged beside the supermarket C, the operating time range is {10: 00-20: 00}, the customer activity time period of the supermarket C can be determined to be {10: 00-20: 00} in the rest day, and the preset stay time period determined by the information of the supermarket C is {10: 00-20: 00 }. And the historical stay time period can be known to be 10: 00-20: 00. And for the supermarket C, according to the category and the surrounding environment, the general rest day can not generate large operation fluctuation, so that the preset threshold value can be set to be 90%.

And the staying time period within the preset time period of the rest day obtained in the step S304 is {12: 00-14: 00}, at this time, the staying time period {12: 00-14: 00} is located within the preset staying time period {10: 00-20: 00}, but the contact ratio of the staying time period {12: 00-14: 00} and the historical staying time period {10: 00-20: 00} is only 25%, and 25% is less than 90%. Therefore, it is obvious that the supermarket C has an abnormal condition in the preset time period of the rest day, and the transfer may already occur.

It is easy to understand that, in this embodiment, whether there is an abnormal situation in the POI to be identified can be more accurately determined by comparing the overlap ratio between the historical stay time period and the stay time period. That is, in the embodiment, by comparing the stay time period of the preset time period with the historical stay time period, the change of the stay condition of the target mobile terminal in the POI to be identified in a plurality of continuous preset time periods can be further reflected, so that whether the POI to be identified has an abnormal condition in the preset time period can be identified more accurately.

Further, step S303 confirms that there is an abnormal situation of the POI to be identified, and identifies it as failed. However, for the POIs in the map navigation system, the effective identification of the POIs to be identified cannot be guaranteed to be correct by only depending on the moving tracks. Therefore, it is also necessary to perform secondary recognition of the validity of the POI to be recognized.

In the method for identifying validity of an information point provided in this embodiment, in step S303, if the length of the stay time is smaller than the preset time length, the step of identifying the POI to be identified as an invalid POI specifically includes:

(1) and if the length of the stay time is less than the preset time length, acquiring network information including POI data to be identified.

(2) And judging whether the POI to be identified meets a preset condition or not according to the network information and the preset time period.

(3) And if the POI to be identified does not meet the preset condition, identifying the POI to be identified as an invalid POI.

Specifically, the network information may be information data contained in a blog, social media, a comment site, a database, a public private space, and the like. The network information can be obtained by a server to crawl the webpage data on the network or a third party.

The embodiment is used for further verifying the POI which is preliminarily identified as invalid by utilizing the data which comprises the POI to be identified in the network information in other ways. In this embodiment, the verification may be performed through user feedback on a relevant website by a user, for example, message information that a certain POI has been closed upside down, or a video acquired in a manual field, for example, a check-in picture uploaded by the user on a social media, where whether the check-in picture matches the POI to be identified is not listed one by one, and is not limited herein.

For ease of understanding, the following description will be made in detail by exemplifying the user feedback time in the web page data.

In an optional embodiment, the preset condition includes: and whether the last feedback time of the user of the network information is within a preset time period or not.

It is easy to understand that the preset condition may also be set that the last feedback time of the user of the network information is within a week or several days of the starting time point of the preset time period. This embodiment is not intended to be exhaustive or limiting.

In this embodiment, the step (2) of determining whether the POI to be identified meets a preset condition according to the network information and the preset time period includes the following steps:

and extracting user feedback information based on the plurality of web pages.

Specifically, the step is used for extracting the user feedback information from the obtained multiple webpages, and the extracted data may be data containing text information or data containing pictures.

For example, in this step, the name of the POI to be identified may be used as a keyword for extraction, or the geographic location of the POI to be identified may be used as a keyword for extraction.

And extracting the last feedback time of the user based on the user feedback information.

Specifically, the last feedback time of the user is the last timestamp in the extracted user feedback information. After the user feedback information is extracted in the step, the timestamp of the user feedback information is extracted, and a timestamp closest to a preset time period is screened out from the timestamp as the last feedback time of the user.

Specifically, the step identifies again whether the POI to be identified has failed by comparing the last feedback time with a preset time period.

For example, for hotel B, the preset time period is from 23 days at 6 months in 2020 to 26 days at 6 months in 2020, in step S302, after it is determined that the length of the stay time is less than the preset time period, the network information about hotel B is crawled on a certain travel website, the user feedback information of the user to hotel B is extracted from the network information by using hotel B as a keyword, and then the timestamp of the last message information is extracted from the user feedback information, that is, the last feedback time of the user is 5 months and 3 days at 2020, and the last feedback time of the user is located before the preset time period, so that hotel B can be identified to be invalid again.

Further, a fourth embodiment of the information point validity identification method according to the present invention is proposed based on the first to third embodiments of the information point validity identification method according to the present invention. In order to better meet the timeliness requirement of the effectiveness analysis of the POIs, compared with the case that the user specifies the POIs to be identified or the device of the embodiment traverses all POIs in the map navigation system, if the POIs to be identified are actively found through big data, the method is more timeliness. Therefore, this embodiment provides a specific implementation scheme for acquiring a POI to be identified, and referring to fig. 6, the specific scheme is as follows:

Step S101, obtaining the moving tracks of a plurality of mobile terminals in at least 2 adjacent preset time periods.

Specifically, this step is used to input the movement track of the target mobile terminal from an external terminal, or acquire the movement track of the target mobile terminal from a server or a network through the radio frequency circuit 304. And the subsequent steps are used for processing the moving track. The movement trace may be periodically acquired from an external terminal or a server in response to a preset time period.

And step S102, determining POI to be identified based on the moving tracks of the plurality of mobile terminals.

Specifically, the step is used for finding out the POI to be identified as valid from the moving track. In particular, a normally operating POI must be associated with some people's activity track. And based on the change of the activity track of each mobile terminal in the movement track, the POI to be identified can be determined.

The embodiment provides a specific implementation scheme for determining a POI to be identified from a moving track, and the specific scheme is as follows:

(1) obtaining ideal movement tracks of at least 2 adjacent preset time periods of each mobile terminal based on the movement tracks of the plurality of mobile terminals.

Specifically, in each preset time period, the daily activity track data of each person with the behavioral ability carrying the mobile terminal is substantially consistent, or an activity track with a high occurrence frequency is provided, and the activity track is an ideal daily motion track of the mobile terminal in the preset time period. The ideal movement trajectory may be used to generally and abstractly characterize the daily movement of the mobile terminal over the preset time period.

For example, for the mobile terminal E1, the owner of the mobile terminal E1 is a white-collar person whose activities track is substantially consistent every day during the preset time period from monday to friday of a week of a month of a year, and all of them are: 20: 00-7: 00 in a H district, 9: 00-12: 00 in an F office building, 12: 00-13: 00 in restaurant A and 13: 00-18: 00 in office F.

The above-mentioned moving track constitutes an ideal moving track in the preset time period. The ideal moving trajectory may represent the daily moving trajectory of the mobile terminal E1 for the preset time period.

In the embodiment where the preset time period is one day, the motion trajectory within the preset time period is the ideal motion trajectory.

For example, for mobile terminal E2, the owner of mobile terminal E2 is a white-collar person whose activities track for monday, tuesday, wednesday, and friday is substantially consistent during the preset period of monday to friday of a week of a month of a year, all of which are: 20: 00-7: 00 in a H district, 9: 00-12: 00 in an F office building, 12: 00-13: 00 in restaurant A and 13: 00-18: 00 in office F.

And the activity track of the thursday is: 20: 00-7: 00 in a H district, 9: 00-12: 00 in an F office building, 12: 00-13: 00 in supermarket C and 13: 00-18: 00 in office building G.

At this time, an ideal movement trajectory can still be obtained by selecting a mode or clustering: 20: 00-7: 00 in a H district, 9: 00-12: 00 in an F office building, 12: 00-13: 00 in restaurant A and 13: 00-18: 00 in office F.

The difference between the ideal movement trajectories within a plurality of preset time periods of each mobile terminal can be used for determining the POI to be identified, namely the POI with possible abnormality.

It is easy to understand that, in order to correctly reflect the change of the activity track of the mobile terminal, the embodiment utilizes the ideal movement track for at least 2 adjacent preset time periods.

(2) And determining POI to be identified based on at least 2 ideal movement tracks of at least 1 mobile terminal.

This step is to determine POIs to be identified based on the at least 2 ideal movement trajectories. And finding out the difference among at least 2 ideal movement tracks through comparison, thereby finding out the POI to be identified from the ideal movement tracks.

For example, for the mobile terminal E3, in a first preset time period from monday to friday of x weeks of a certain month of a certain year, the activity track of each day is 20: 00-7: 00 in an H cell, 9: 00-12: 00 in an F office, 12: 00-13: 00 in restaurant A and 13: 00-18: 00 in office F.

In a second preset time period from Monday to Friday of x +1 week of a certain month of a year, the activity track of each day is 20: 00-7: 00 in an H cell, 9: 00-12: 00 in an F office building, 12: 00-13: 00 in restaurant I and 13: 00-18: 00 in office F.

Based on the difference between the two ideal movement tracks, it can be determined that the movement track of the mobile terminal E3 changes in the adjacent preset time period, and at this time, restaurant a can be determined as the POI to be identified, and the POI is subjected to validity analysis.

In addition, the POI to be identified can be determined based on the same abnormal POI detected by a plurality of mobile terminals.

It should be noted that in other embodiments, the moving track of the mobile terminal may not include the POI, and only have the coordinate position information and the time sequence and other related information. At this time, inverse address resolution may be performed based on the position coordinates or the position coordinate area determined to have the difference, and POI information may be obtained from the map navigation system.

In addition, in this embodiment, the position information in the moving track may be classified based on the occurrence frequency or the occurrence time, so that POIs to be identified that change within a preset time period are screened out. Or clustering is carried out on the position information in the moving track based on the time sequence, so that POI to be identified which change in a preset time period is screened out. And the check-in information of a plurality of mobile terminals can be crawled through the server, and the POI to be identified is determined from the change of the check-in information. The embodiments are not listed here, and are not limited thereto.

Referring to fig. 7, fig. 7 is a block diagram illustrating a first embodiment of an information point validity identifying apparatus according to the present invention.

As shown in fig. 7, an information point validity identification apparatus according to an embodiment of the present invention includes:

the obtaining module 10 is configured to obtain moving tracks of multiple mobile terminals in a preset time period, and obtain an information point POI to be identified.

And the determining module 20 is configured to determine, according to the moving track of each mobile terminal within a preset time period, a target mobile terminal staying at the POI to be identified.

And the identification module 30 is configured to perform validity identification on the POI to be identified according to a stay time length of the target mobile terminal staying at the POI to be identified.

The information point validity identification apparatus provided in this embodiment determines, from the plurality of mobile terminals, the target mobile terminal staying at the POI to be identified through the moving track, and then determines whether the staying time length of the target mobile terminal staying at the POI to be identified matches with the POI to be identified within the preset time period, thereby actively and quickly identifying whether the POI has failed. The technical effect of identifying the effectiveness of the POI with high timeliness is achieved, and the timeliness requirement of POI effectiveness identification is met.

Based on the first embodiment of the information point validity recognition apparatus of the present invention, a second embodiment of the information point validity recognition apparatus of the present invention is proposed. In this embodiment, the identification module 30 is further configured to obtain a length of a stay time of the target mobile terminal at the POI to be identified; judging whether the length of the stay time is greater than or equal to the preset time of the POI to be identified; and if the stay time length is less than the preset time length, identifying the POI to be identified as an invalid POI.

As an implementation manner, the identification module 30 is further configured to obtain the preset time length according to the category of the POI to be identified and the location scene information of the POI to be identified.

As an implementation manner, the identification module 30 is further configured to obtain a staying time period of the target mobile terminal at the POI to be identified if the staying time length is greater than or equal to the preset time length; judging whether the stay time period is within a preset stay time period of the POI to be identified; and if not, identifying the POI to be identified as an invalid POI.

As an implementation manner, the identification module 30 is further configured to obtain the preset staying time period according to the category of the POI to be identified and the location scene information of the POI to be identified.

In one embodiment, the identification module 30 is further configured to determine whether a coincidence degree between the historical staying time period and the staying time period is greater than or equal to a preset threshold.

A third embodiment of the information point validity identification apparatus of the present invention is proposed based on the first and second embodiments of the above-described information point validity identification apparatus of the present invention. In this embodiment, the identification module 30 is further configured to obtain network information including POI data to be identified if the length of the stay time is smaller than the preset duration; judging whether the POI to be identified meets a preset condition or not according to the network information and the preset time period; and if the POI to be identified does not meet the preset condition, identifying the POI to be identified as an invalid POI.

A fourth embodiment of the information point validity identification apparatus of the present invention is proposed based on the first to third embodiments of the information point validity identification apparatus of the present invention. In this embodiment, the obtaining module 10 is further configured to obtain moving tracks of the multiple mobile terminals in at least 2 adjacent preset time periods; and determining POI to be identified based on the moving tracks of the plurality of mobile terminals.

As an embodiment, the obtaining module 10 is further configured to obtain, based on the movement trajectories of multiple mobile terminals, ideal movement trajectories of at least 2 adjacent mobile terminals in a preset time period; and determining POI to be identified based on at least 2 ideal movement tracks of at least 1 mobile terminal.

Other embodiments or specific implementation manners of the information point validity identification apparatus of the present invention may refer to the above method embodiments, and are not described herein again.

Furthermore, an embodiment of the present invention further provides a storage medium, where an information point validity identification program is stored, and the information point validity identification program, when executed by a processor, implements the steps of the information point validity identification method as described above. Therefore, a detailed description thereof will be omitted. In addition, the beneficial effects of the same method are not described in detail. For technical details not disclosed in embodiments of the computer-readable storage medium referred to in the present application, reference is made to the description of embodiments of the method of the present application. It is determined that, by way of example, the program instructions may be deployed to be executed on one computing device or on multiple computing devices at one site or distributed across multiple sites and interconnected by a communication network.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), or the like.

It should be noted that the above-described embodiments of the apparatus are merely schematic, where the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. In addition, in the drawings of the embodiment of the apparatus provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, and may be specifically implemented as one or more communication buses or signal lines. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above description of the embodiments, those skilled in the art will clearly understand that the present invention may be implemented by software plus necessary general hardware, and may also be implemented by special hardware including special integrated circuits, special CPUs, special memories, special components and the like. Generally, functions performed by computer programs can be easily implemented by corresponding hardware, and specific hardware structures for implementing the same functions may be various, such as analog circuits, digital circuits, or dedicated circuits. However, the implementation of a software program is a more preferable embodiment for the present invention. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, where the computer software product is stored in a readable storage medium, such as a floppy disk, a usb disk, a removable hard disk, a Read-only memory (ROM), a random-access memory (RAM), a magnetic disk or an optical disk of a computer, and includes instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.

Claims

1. An information point validity identification method is characterized by comprising the following steps:

2. The method for identifying the validity of the information point according to claim 1, wherein the step of identifying the validity of the POI to be identified according to the stay time length of the target mobile terminal at the POI to be identified comprises:

3. The method for identifying the validity of the information point according to claim 2, wherein before the step of determining whether the length of the stay time is greater than or equal to a preset time length of the POI to be identified, the method further comprises:

4. The method for identifying the validity of the information point according to claim 2, wherein after the step of determining whether the length of the stay time is greater than or equal to a preset time length of the POI to be identified, the method further comprises:

and if not, identifying the POI to be identified as an invalid POI.

5. The method for identifying the validity of the information point according to claim 4, wherein the preset stay time period is a historical stay time period of a target mobile terminal in the POI to be identified;

6. The method for identifying the validity of the information point according to claim 2, wherein the step of identifying the POI to be identified as an invalid POI if the length of the stay time is less than the preset time length comprises:

7. The information point validity identification method according to claim 6, wherein the preset condition includes: whether the last feedback time of the user of the network information is within a preset time period or not;

extracting user feedback information based on the network information;

8. An information point validity identifying apparatus, characterized by comprising:

9. An information point validity identification apparatus, characterized in that the apparatus comprises: memory, a processor and an information point validity identification program stored on the memory and executable on the processor, the information point validity identification program being configured to implement the steps of the information point validity identification method according to any one of claims 1 to 7.

10. A storage medium, characterized in that the storage medium has stored thereon an information point validity identification program which, when executed by a processor, implements the steps of the information point validity identification method according to any one of claims 1 to 7.