CN108898416B - Method and apparatus for generating information - Google Patents
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- CN108898416B CN108898416B CN201810538555.XA CN201810538555A CN108898416B CN 108898416 B CN108898416 B CN 108898416B CN 201810538555 A CN201810538555 A CN 201810538555A CN 108898416 B CN108898416 B CN 108898416B
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Abstract
The embodiment of the application discloses a method and a device for generating information. One embodiment of the method comprises: receiving a statistical request, wherein the statistical request comprises a playing time period of a target video played by a screen in a target site; acquiring user group data of a user group which is acquired by at least two data acquisition modes and is positioned in the target place within a preset time period, wherein the playing time period of the target video is included in the preset time period; establishing a first user time series distribution based on user group data; and matching the playing time period of the target video with the time sequence distribution of the first user, and obtaining the number of the touch persons of the target video according to the matching result. The embodiment generates the information of the number of the reach persons of the target video played by the screen in the target place, and realizes the generation of the information.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a method and a device for generating information.
Background
Currently, there are some venues (e.g., theaters, malls, stations, etc.) that are provided with screens through which video information (e.g., video advertisements) can be delivered to users. In the process of video information release, the number of people touching the video information is a very important index for evaluating the effect of video information release. At the present stage, the number of reach persons can be counted manually, for example, for each screen in a certain place, a specially-assigned person can be arranged to count the number of reach persons in the video information delivery process.
Disclosure of Invention
The embodiment of the application provides a method and a device for generating information.
In a first aspect, an embodiment of the present application provides a method for generating information, where the method includes: receiving a statistical request, wherein the statistical request comprises a playing time period of a target video played by a screen in a target site; acquiring user group data of a user group which is acquired by at least two data acquisition modes and is positioned in the target place within a preset time period, wherein the playing time period of the target video is included in the preset time period; establishing a first user time series distribution based on user group data; and matching the playing time period of the target video with the time sequence distribution of the first user, and obtaining the number of the touch persons of the target video according to the matching result.
In some embodiments, the establishing a first user time-series distribution based on user group data includes: for the data acquisition mode of the at least two data acquisition modes, establishing second user time series distribution of the user group data acquired by the data acquisition mode; carrying out duplicate removal processing on users included in the established at least two second user time sequence distributions; and merging the at least two second user time sequence distributions after the duplicate removal processing to obtain a first user time sequence distribution.
In some embodiments, the at least two data acquisition modes include at least two of: the method comprises the steps of obtaining a positioning data based mode, a WiFi fingerprint based mode, a user behavior based mode and a probe equipment based mode.
In some embodiments, when the at least two data obtaining manners include a location data-based obtaining manner, the establishing, for a data obtaining manner of the at least two data obtaining manners, a second user time series distribution of the user group data obtained by the data obtaining manner includes: acquiring positioning data uploaded by terminal equipment used by a user; determining the distance between a user and a screen in the target place according to the positioning data; in response to determining that the distance is less than a preset distance threshold and that the user stays within the preset distance threshold for a time period exceeding a preset time period threshold, counting the user as a first user located within the target site; for a first user located in the target place, setting a set time length before and after the terminal equipment used by the first user uploads positioning data as an effective time period for the first user to reach the target video; and establishing a second user time sequence distribution according to the effective time period of the first user reaching the target video.
In some embodiments, when the at least two data acquisition manners include an acquisition manner based on a WiFi fingerprint, the establishing, for a data acquisition manner of the at least two data acquisition manners, a second user time series distribution of user group data obtained by the data acquisition manner includes: acquiring uploaded WiFi fingerprint data of terminal equipment used by a user; matching the acquired WiFi fingerprint data with target WiFi fingerprint data pre-associated with the target place; in response to a successful match, counting the user as a second user located within the target site; for a second user located in the target place, setting a time length before and after the terminal equipment used by the second user uploads WiFi fingerprint data as an effective time period for the second user to reach the target video; and establishing second user time sequence distribution according to the effective time period of the second user reaching the target video.
In some embodiments, the target location is a target theater; and the target WiFi fingerprint data pre-associated with the target cinema is obtained by the following data acquisition modes: obtaining ticket taking data of at least one user in the target cinema to obtain a ticket taking data set, wherein the ticket taking data comprises ticket taking time; for ticket taking data in the ticket taking data set, acquiring first WiFi fingerprint data of preset times sent by terminal equipment corresponding to the ticket taking data in a preset time period before and after the ticket taking time of the ticket taking data; and performing statistical analysis on at least one first WiFi fingerprint data, and generating target WiFi fingerprint data according to the statistical analysis result.
In some embodiments, the target location is a target theater; and when the at least two data acquisition modes include an acquisition mode based on user behavior, the establishing a second user time series distribution of the user group data acquired by the data acquisition mode for the data acquisition mode of the at least two data acquisition modes includes: counting the users who get tickets in the target cinema within the preset time as third users in the target cinema; for a third user in the target cinema, setting the front and back set time length of the movie playing time corresponding to the ticket drawing of the third user as the effective time period for the third user to reach the target video; and establishing a second user time sequence distribution according to the effective time period of the third user reaching the target video.
In some embodiments, the target location is a target theater; and when the at least two data acquisition modes include a probe device-based acquisition mode, the establishing a second user time series distribution of the user group data acquired by the data acquisition mode for the data acquisition mode of the at least two data acquisition modes includes: receiving terminal device data transmitted from a probe device installed in the target theater during the predetermined time period, wherein the terminal device data is data of a terminal device used by a fourth user located in the target theater during the predetermined time period; for a fourth user in the target cinema, taking the time of the terminal device used by the fourth user detected by the probe device as the effective time period for the fourth user to reach the target video; and establishing a second user time sequence distribution according to the effective time period of the fourth user reaching the target video.
In a second aspect, an embodiment of the present application provides an apparatus for generating information, where the apparatus includes: a receiving unit configured to receive a statistical request, wherein the statistical request includes a playing time period of a target video played by a screen in a target site; an acquisition unit configured to acquire user group data of a user group located in the target place within a predetermined period of time, which is acquired by at least two data acquisition methods, wherein a playing period of the target video is included within the predetermined period of time; an establishing unit configured to establish a first user time series distribution based on user group data; and the matching unit is configured to match the playing time period of the target video with the time sequence distribution of the first user, and obtain the number of reach persons of the target video according to a matching result.
In some embodiments, the establishing unit includes: the establishing subunit is configured to establish, for a data acquisition mode of the at least two data acquisition modes, a second user time series distribution of the user group data obtained by the data acquisition mode; a deduplication unit configured to perform deduplication processing on users included in the established at least two second user time series distributions; and the merging unit is configured to merge the at least two second user time series distributions after the deduplication processing to obtain a first user time series distribution.
In some embodiments, the at least two data acquisition modes include at least two of: the method comprises the steps of obtaining a positioning data based mode, a WiFi fingerprint based mode, a user behavior based mode and a probe equipment based mode.
In some embodiments, the above-mentioned establishing subunit is further configured to: acquiring positioning data uploaded by terminal equipment used by a user; determining the distance between a user and a screen in the target place according to the positioning data; in response to determining that the distance is less than a preset distance threshold and that the user stays within the preset distance threshold for a time period exceeding a preset time period threshold, counting the user as a first user located within the target site; for a first user located in the target place, setting a set time length before and after the terminal equipment used by the first user uploads positioning data as an effective time period for the first user to reach the target video; and establishing a second user time sequence distribution according to the effective time period of the first user reaching the target video.
In some embodiments, the above-mentioned establishing subunit is further configured to: acquiring uploaded WiFi fingerprint data of terminal equipment used by a user; matching the acquired WiFi fingerprint data with target WiFi fingerprint data pre-associated with the target place; in response to a successful match, counting the user as a second user located within the target site; for a second user located in the target place, setting a time length before and after the terminal equipment used by the second user uploads WiFi fingerprint data as an effective time period for the second user to reach the target video; and establishing second user time sequence distribution according to the effective time period of the second user reaching the target video.
In some embodiments, the target location is a target theater; and the apparatus further comprises a target WiFi fingerprint data acquisition unit configured to: obtaining ticket taking data of at least one user in the target cinema to obtain a ticket taking data set, wherein the ticket taking data comprises ticket taking time; for ticket taking data in the ticket taking data set, acquiring first WiFi fingerprint data of preset times sent by terminal equipment corresponding to the ticket taking data in a preset time period before and after the ticket taking time of the ticket taking data; and performing statistical analysis on at least one first WiFi fingerprint data, and generating target WiFi fingerprint data according to the statistical analysis result.
In some embodiments, the target location is a target theater; and the establishing subunit is further configured to: counting the users who get tickets in the target cinema within the preset time as third users in the target cinema; for a third user in the target cinema, setting the front and back set time length of the movie playing time corresponding to the ticket drawing of the third user as the effective time period for the third user to reach the target video; and establishing a second user time sequence distribution according to the effective time period of the third user reaching the target video.
In some embodiments, the target location is a target theater; and the establishing subunit is further configured to: receiving terminal device data transmitted from a probe device installed in the target theater during the predetermined time period, wherein the terminal device data is data of a terminal device used by a fourth user located in the target theater during the predetermined time period; for a fourth user in the target cinema, taking the time of the terminal device used by the fourth user detected by the probe device as the effective time period for the fourth user to reach the target video; and establishing a second user time sequence distribution according to the effective time period of the fourth user reaching the target video.
In a third aspect, an embodiment of the present application provides a server, where the server includes: one or more processors; a storage device, on which one or more programs are stored, which, when executed by the one or more processors, cause the one or more processors to implement the method as described in any implementation manner of the first aspect.
In a fourth aspect, the present application provides a computer-readable medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method as described in any implementation manner of the first aspect.
According to the method and the device for generating the information, firstly, a statistical request is received, the statistical request comprises a playing time period of a target video played by a screen in a target place, then, user group data of a user group which is obtained through at least two data obtaining modes and is located in the target place within a preset time period are obtained, then, first user number time sequence distribution is established based on the user group data, finally, the playing time period of the target video is matched with the first user number time sequence distribution, the number of reaching persons of the target video is obtained according to a matching result, and therefore the information of the number of reaching persons of the target video played by the screen in the target place is generated, and the information is generated.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the following detailed description of non-limiting embodiments thereof, made with reference to the accompanying drawings in which:
FIG. 1 is an exemplary system architecture diagram in which the present application may be applied;
FIG. 2 is a flow diagram of one embodiment of a method for generating information according to the present application;
FIG. 3 is a schematic illustration of an application scenario of a method for generating information according to the present application;
FIG. 4 is a flow diagram of yet another embodiment of a method for generating information according to the present application;
FIG. 5 is a schematic block diagram illustrating one embodiment of an apparatus for generating information according to the present application;
FIG. 6 is a schematic block diagram of a computer system suitable for use in implementing a server according to embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
Fig. 1 illustrates an exemplary system architecture 100 to which a method for generating information or an apparatus for generating information of embodiments of the present application may be applied.
As shown in fig. 1, the system architecture 100 may include terminal devices 101, 102, 103, a network 104, a server 105, a network 106, and a mobile terminal device 107. The network 104 serves as a medium for providing communication links between the terminal devices 101, 102, 103 and the server 105, and the network 106 serves as a medium for providing communication links between the server 105 and the mobile terminal device 107. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few. The network 106 may be a wireless communication link.
The statistician may use the terminal devices 101, 102, 103 to interact with the server 105 over the network 104 to receive or send messages or the like. The terminal devices 101, 102, 103 may have various communication client applications installed thereon, such as a web browser application, a shopping application, a search application, an instant messaging tool, a mailbox client, social platform software, and the like.
The terminal apparatuses 101, 102, and 103 may be hardware or software. When the terminal devices 101, 102, 103 are hardware, they may be various electronic devices having a display screen and supporting information transmission, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, and the like. When the terminal apparatuses 101, 102, 103 are software, they can be installed in the electronic apparatuses listed above. It may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.
The mobile terminal device 107 may interact with the server 105 via the network 106 to receive or send messages or the like. The mobile terminal device 107 may have installed thereon various communication client applications such as a web browser application, a shopping-type application, a search-type application, a map-type application, and the like.
The mobile terminal device 107 may be hardware or software. When the mobile terminal device 107 is hardware, it may be various electronic devices having a display screen and supporting information transmission, including but not limited to a smartphone, a tablet computer, and the like. When the mobile terminal device 107 is software, it can be installed in the electronic devices listed above. It may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services) or as a single piece of software or software module. And is not particularly limited herein.
The server 105 may be a server providing various services, such as a background server providing support for information displayed on the terminal devices 101, 102, 103. The background server may process the received data such as the statistics request sent by the terminal devices 101, 102, 103, and feed back the processing result (e.g., the contact person number information) to the terminal devices 101, 102, 103. For another example, the server 105 may receive positioning data, WIFI (WIreless Fidelity) fingerprint data, and the like uploaded by the mobile terminal device 107, and perform statistical analysis on the received data.
The server 105 may be hardware or software. When the server 105 is hardware, it may be implemented as a distributed server cluster composed of a plurality of servers, or may be implemented as a single server. When the server 105 is software, it may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.
It should be noted that the method for generating information provided in the embodiment of the present application is generally performed by the server 105, and accordingly, the apparatus for generating information is generally disposed in the server 105.
It should be understood that the number of terminal devices, networks, mobile terminal devices and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, mobile terminal devices and servers, as desired for implementation.
With continued reference to FIG. 2, a flow 200 of one embodiment of a method for generating information in accordance with the present application is shown. The method for generating information comprises the following steps:
In this embodiment, an executing entity (for example, the server 105 shown in fig. 1) of the method for generating information may receive a statistical request sent by a terminal device (for example, the terminal devices 101, 102, 103 shown in fig. 1) used by a statistical staff through a wired connection manner or a wireless connection manner, where the statistical request may include a playing time period of a target video played by a screen in a target site.
Here, the target place may include a cinema, a mall, a station, and the like, and a plurality of electronic screens may be provided in the target place, and various videos, for example, advertisement videos, may be played on the electronic screens. In practice, when a statistician wants to count the number of reach of a target video played by an electronic screen in a target site, a statistical request can be sent to the execution subject through the used terminal devices (e.g., the terminal devices 101, 102, 103 shown in fig. 1).
In this embodiment, the execution subject may acquire user group data of a user group located in a target place within a predetermined time period, which is acquired by at least two data acquisition methods. Here, the playing time period of the target video is included in the predetermined time period, for example, the playing time period of the target video is 9: 00-9:05, 10: 00-10:05, 12:00-12:05, 15:00-15:05, the predetermined period of time may be 8:00-16:00 of the day.
As an example, the at least two data acquisition manners may include at least two of the following:
1) based on the manner of acquisition of the positioning data. The execution subject may obtain one or more of positioning data uploaded by a mobile terminal device (for example, the mobile terminal device 107 shown in fig. 1) used by a user in the user group located in the target site, an identifier of the user, an identifier of the mobile terminal device, and the like. Here, the Positioning data may be GPS (Global Positioning System) data. The positioning data may also be position data obtained by a positioning function of application software with a positioning function installed in the mobile terminal device. As an example, the identifier of the user may be used to identify the user, e.g. it may be a user account, a user name, etc. that the user is registered with in the application software that obtains the positioning data. The data such as the positioning data uploaded by the mobile terminal device used by each user in the user group, the identifier of the user, the identifier of the mobile terminal device and the like can form user group data.
2) And obtaining mode based on WiFi fingerprint. The execution subject may obtain one or more of WiFi fingerprint data uploaded by a mobile terminal device used by a user in the user group in the target location, an identifier of the user, an identifier of the mobile terminal device, and the like. Here, the WiFi fingerprint data may be WiFi location fingerprint data collected by a WiFi fingerprint data collection function of the application software installed in the mobile terminal device and having the WiFi fingerprint data collection function. Data such as WiFi fingerprint data, a user identifier, and a mobile terminal device identifier uploaded by a mobile terminal device used by each user in a user group may constitute user group data.
3) And obtaining mode based on user behavior. When a user in a target place produces a certain user behavior, the execution agent may acquire an identifier of the user who produced the user behavior, an identifier of a mobile terminal device used by the user, and the like. Generally, a user may produce a particular behavior within a particular locale. For example, a user may go to a ticket machine to take movie tickets that were previously purchased over a network in a theater. In this case, the execution agent may use a user name used when the user purchases a movie ticket as the user identifier. Alternatively, the executive body may use the CUID (called user identification number) of the mobile phone receiving the ticket-fetching authentication code as the identifier of the mobile terminal device used by the user. Data such as an identifier of the user who produced the particular user behavior, an identifier of the mobile terminal device used by the user, etc. may constitute user group data.
4) Based on the acquisition mode of the probe device. The execution main body can acquire user information uploaded by probe equipment installed in a target place, and the acquired user information is used as user group data. The WiFi probe technology is a technology for identifying a terminal device (e.g., a smart phone, a notebook, a tablet computer, etc.) that has turned on WiFi near an AP (Wireless Access Point) based on a WiFi detection technology. The terminal equipment does not need to be accessed to WiFi, and the WiFi probe can identify the information of the terminal equipment. For example, a MAC (Media Access Control) address, and the like.
In this embodiment, the executing entity may establish the first user time-series distribution based on the user group data acquired in step 202. Here, the first user time series distribution may be used to characterize the distribution of users located within the target site over the predetermined time period. As an example, the execution body may first divide the preset time period into a plurality of time periods at set time intervals (e.g., 2 seconds, 5 seconds, etc.). Then, the executing entity may perform statistical analysis on the user group data obtained in step 202 to obtain information (for example, an identifier of the user, an identifier of a mobile terminal device used by the user, and the like) of the user located in the target location in each time period, so as to obtain the first user time series distribution.
And 204, matching the playing time period of the target video with the time sequence distribution of the first user, and obtaining the number of reach persons of the target video according to the matching result.
In this embodiment, the execution main body may match the playing time period of the target video with the time series distribution of the first user, and obtain the number of reach persons of the target video according to a matching result. The number of people reached may refer to the number of people located in the target location during the target video playing time period, and this part of people may receive the information conveyed by the target video by watching the target video. As an example, the execution subject may match a target time period identical to the playing time period of the target video in the first user time series distribution, count the number of users in the target time period, and use the counted number of users as the reach of the target video. In practice, the execution main body may also feed back the number of the reached persons of the obtained target video to the terminal device sending the statistical request.
It should be understood that, when the target video is played at a plurality of target locations, the number of reach persons of the target video in each target location may be first generated by the method for generating information, and then the number of reach persons of the target video in the plurality of target locations may be added to obtain the number of reach persons of the target video played at the plurality of target locations.
With continued reference to fig. 3, fig. 3 is a schematic diagram of an application scenario of the method for generating information according to the present embodiment. In the application scenario of fig. 3, the statistician first initiates a statistical request through the used terminal device 301, which statistical request includes the playing time period of the advertisement video B played by the electronic screen within the cinema a. In response to receiving the statistical request, the server 302 may acquire user group data of a user group located in the theater a on the day of the playing of the advertisement video B, which is acquired through at least two data acquisition manners. Server 302 may then establish a first user time series distribution based on the user population data. Finally, the server 302 may match the playing time period of the advertisement video B with the time sequence distribution of the first user, obtain the number of reach persons of the advertisement video B according to the matching result, and feed back the number of reach persons of the advertisement video B to the terminal device 301.
The method provided by the embodiment of the application establishes the first user time sequence distribution by using the user group data obtained based on at least two data acquisition modes, matches the playing time period of the target video with the established first user time sequence distribution, generates the number of touch persons of the target video played by the screen in the target place according to the matching result, and realizes the generation of information. In addition, due to the fact that the diversity of the user group data acquisition modes used when the first user time series distribution is established improves the effectiveness of data sources, the accuracy of the number of the generated reach persons is improved.
With further reference to fig. 4, a flow 400 of yet another embodiment of a method for generating information is shown. The flow 400 of the method for generating information comprises the steps of:
In this embodiment, an executing entity (for example, the server 105 shown in fig. 1) of the method for generating information may receive a statistical request sent by a terminal device (for example, the terminal devices 101, 102, 103 shown in fig. 1) used by a statistical staff through a wired connection manner or a wireless connection manner, where the statistical request may include a playing time period of a target video played by a screen in a target site. The target site may include a cinema, a mall, a station, etc., and a plurality of electronic screens may be installed in the target site, and various videos may be displayed on the electronic screens,
In this embodiment, the execution subject may acquire user group data of a user group located in a target place within a predetermined time period, which is acquired by at least two data acquisition methods. Here, the playing time period of the target video is included in the predetermined time period.
In this embodiment, for each of the at least two data acquisition manners, the execution main body may establish a second user time-series distribution of the user group data obtained by the data acquisition manner, so as to obtain at least two second user time-series distributions. Here, each second user time-series distribution may be used to characterize the distribution of users located within the target site within the predetermined time period. The data of the user used for establishing the time series distribution of the second user is obtained by a certain data acquisition mode.
In some optional implementations of this embodiment, the at least two data obtaining manners may include at least two of the following: the method comprises the steps of obtaining a positioning data based mode, a WiFi fingerprint based mode, a user behavior based mode and a probe equipment based mode.
In some optional implementations, when the at least two data acquisition manners include an acquisition manner based on positioning data, step 403 may specifically proceed as follows:
firstly, positioning data uploaded by terminal equipment used by a user is acquired.
And secondly, determining the distance between the user and the screen in the target place according to the positioning data.
Thirdly, in response to the fact that the distance is smaller than a preset distance threshold value and the stay time of the user in the range of the preset distance threshold value exceeds a preset time threshold value, the user is counted as a first user located in the target place.
Then, for each first user located in the target place, setting a time length before and after the terminal device used by the first user uploads positioning data as an effective time period for the first user to reach the target video.
And finally, establishing second user time sequence distribution according to the effective time period of the first user reaching the target video. As an example, the execution subject may first divide the preset time period into a plurality of time periods at set time intervals (for example, the time intervals may be 2 seconds, 5 seconds, and the like). Then, for each time period in the multiple time periods, performing statistical analysis on the first user with the effective time reaching the target video falling in the time period to obtain the user information of the first user in each time period, thereby obtaining the time sequence distribution of the second user.
In some optional implementations, when the at least two data acquisition manners include an acquisition manner based on a WiFi fingerprint, step 403 may specifically proceed as follows:
first, the uploaded WiFi fingerprint data of the terminal device used by the user is obtained. As an example, the WiFi fingerprint data may include a MAC address, a signal strength, and the like of at least one WiFi scanned by the terminal device.
And secondly, matching the acquired WiFi fingerprint data with target WiFi fingerprint data which are pre-associated with the target place. As an example, the executing entity may match the MAC address of the obtained WiFi fingerprint data with the MAC address of the target WiFi fingerprint data, and if the obtained WiFi fingerprint data is the same or close to the target WiFi fingerprint data, the matching is considered to be successful.
And thirdly, in response to the successful matching of the obtained WiFi fingerprint data and the target WiFi fingerprint data, counting the user as a second user located in the target place.
Then, for each second user located in the target place, setting a time length before and after the terminal device used by the second user uploads the WiFi fingerprint data as an effective time period for the second user to reach the target video.
And finally, establishing second user time sequence distribution according to the effective time period of the second user reaching the target video. As an example, the execution subject may first divide the preset time period into a plurality of time periods at set time intervals (for example, the time intervals may be 2 seconds, 5 seconds, and the like). Then, for each time period in the multiple time periods, performing statistical analysis on the second user with the effective time reaching the target video falling in the time period to obtain the user information of the second user in each time period, thereby obtaining the time sequence distribution of the second user.
Alternatively, the target location may be a target theater. The target WiFi fingerprint data pre-associated with the target theater may be obtained by the following data acquisition methods:
first, obtaining ticket-taking data of at least one user at the target cinema to obtain a ticket-taking data set, wherein the ticket-taking data may include a ticket-taking time.
Then, for each piece of ticket-taking data in the ticket-taking data set, first WiFi fingerprint data of preset times sent by a terminal device corresponding to the ticket-taking data within a predetermined time period (for example, 10 minutes) before and after the ticket-taking time of the ticket-taking data is acquired. As an example, WiFi fingerprint data of the last 2 times sent by the terminal device corresponding to the ticket drawing data within 10 minutes before and after the ticket drawing time of the ticket drawing data may be used as the first WiFi fingerprint data. Here, the first WiFi fingerprint data may include a MAC address, a signal strength, and the like of at least one WiFi scanned by the terminal device. Generally, a user can purchase a movie ticket through a network, after the ticket is successfully purchased, a ticket-taking verification code is sent to a mobile phone selected by the user and used for receiving the ticket-taking verification code, and a central user identification number (CUID user identification number) of the mobile phone can be used as a terminal device corresponding to ticket-taking data.
And finally, performing statistical analysis on at least one first WiFi fingerprint data, and generating target WiFi fingerprint data according to a statistical analysis result. As an example, the number of occurrences of each WiFi in the at least one first WiFi fingerprint data may be counted according to the MAC address of the WiFi, the WiFi whose number of occurrences is less than the preset threshold is removed, and the target WiFi fingerprint data is composed by using the remaining WiFi.
In some alternative implementations, the destination location may be a destination theater. And when the at least two data acquisition manners include an acquisition manner based on a user behavior, step 403 may specifically proceed as follows:
first, the users who have taken tickets in the target theater during the predetermined time are counted as the third users located in the target theater.
Then, for each third user located in the target theater, the set time length before and after the movie playing time corresponding to the ticket drawn by the third user (for example, 10 minutes before the movie playing and 5 minutes after the movie playing) is used as the effective time period for the third user to reach the target video.
And finally, establishing second user time sequence distribution according to the effective time period of the third user reaching the target video. As an example, the execution subject may first divide the preset time period into a plurality of time periods at set time intervals (for example, the time intervals may be 2 seconds, 5 seconds, and the like). Then, for each time period in the multiple time periods, carrying out statistical analysis on a third user with the effective time reaching the target video falling in the time period to obtain user information of the third user in each time period, thereby obtaining time sequence distribution of the second user.
In some alternative implementations, the destination location may be a destination theater. And when the at least two data acquisition modalities include a probe-device-based acquisition modality, step 403 may proceed as follows:
first, terminal device data transmitted from a probe device installed in the target theater is received for the predetermined period of time. The terminal device data is data of a terminal device used by a fourth user located in the target theater within the predetermined time period.
Then, for each fourth user located in the target theater, the time when the terminal device used by the fourth user is detected by the probe device is used as the effective time period for the fourth user to reach the target video.
And finally, establishing second user time sequence distribution according to the effective time period of the fourth user reaching the target video.
In this embodiment, the executing body may perform deduplication processing on the users included in the at least two established second user time series distributions according to the identifier of the user or the identifier of the terminal device used by the user. As an example, the execution subject may remove duplicate users included in the same time period distributed in the time series of the at least two second users. For example, the time period 10:00:00-10:00:10 of the second user time series distribution I includes user a, user B and user C, the time period 10:00:00-10:00:10 of the second user time series distribution II includes user a and user D, and then the second user time series distribution I and the second user time series distribution II include repeated user a in the same time period 10:00:00-10:00: 10. At this time, the user a is subjected to the deduplication processing, and for example, the user a in the second user time-series distribution I may be deleted or the user a in the second user time-series distribution II may be deleted. Here, the deduplication process may mean that if two or more second user time-series distributions include the same user within the same period of time, one user time-series distribution of the two or more second user time-series distributions retains the user and the other user time-series distributions delete the user.
In this embodiment, the executing body may combine at least two second user time series distributions after the deduplication processing, so as to obtain a first user time series distribution. As an example, the execution main body may add users in the same time period of the at least two second user time-series distributions after the deduplication processing, so as to obtain the first user time-series distribution.
And 406, matching the playing time period of the target video with the time sequence distribution of the first user, and obtaining the number of reach persons of the target video according to the matching result.
In this embodiment, the execution main body may match the playing time period of the target video with the time series distribution of the first user, and obtain the number of reach persons of the target video according to a matching result.
As can be seen from fig. 4, compared with the embodiment corresponding to fig. 2, the flow 400 of the method for generating information in the present embodiment highlights the steps of second user time series distribution establishment and user deduplication. Therefore, the method described in this embodiment can make the generated time series distribution of the first user more accurate, so that the number of the touch persons of the target video played by the screen in the target place is more accurate.
With further reference to fig. 5, as an implementation of the method shown in the above figures, the present application provides an embodiment of an apparatus for generating information, which corresponds to the method embodiment shown in fig. 2, and which is particularly applicable to various electronic devices.
As shown in fig. 5, the apparatus 500 for generating information of the present embodiment includes: a receiving unit 501, an obtaining unit 502, a establishing unit 503 and a matching unit 504. Wherein the receiving unit 501 is configured to receive a statistical request, wherein the statistical request includes a playing time period of a target video played by a screen in a target site. The acquisition unit 502 is configured to acquire user group data of a user group located in the target site within a predetermined time period, which is acquired by at least two data acquisition methods, wherein the playing time period of the target video is included in the predetermined time period. The establishing unit 503 is configured to establish a first user time series distribution based on the user population data. The matching unit 504 is configured to match the playing time period of the target video with the time series distribution of the first user, and obtain the number of reach persons of the target video according to the matching result.
In this embodiment, specific processes of the receiving unit 501, the obtaining unit 502, the establishing unit 503, and the matching unit 504 of the apparatus 500 for generating information and technical effects brought by the specific processes can refer to related descriptions of step 201, step 202, step 203, and step 204 in the corresponding embodiment of fig. 2, which are not described herein again.
In some optional implementation manners of this embodiment, the establishing unit includes: and a creating subunit (not shown in the figure) configured to create, for a data acquisition mode of the at least two data acquisition modes, a second user time-series distribution of the user group data obtained by the data acquisition mode. And a deduplication unit (not shown in the figure) configured to perform deduplication processing on users included in the at least two established second user time series distributions. And a merging unit (not shown in the figure) configured to merge the at least two second user time series distributions after the deduplication processing to obtain a first user time series distribution.
In some optional implementations of this embodiment, the at least two data acquisition manners include at least two of: the method comprises the steps of obtaining a positioning data based mode, a WiFi fingerprint based mode, a user behavior based mode and a probe equipment based mode.
In some optional implementations of this embodiment, the establishing subunit is further configured to: and acquiring positioning data uploaded by the terminal equipment used by the user. And determining the distance between the user and the screen in the target place according to the positioning data. In response to determining that the distance is less than a preset distance threshold and the user stays within the preset distance threshold for a time period exceeding a preset time period threshold, counting the user as a first user located in the target site. And for a first user located in the target place, setting a time length before and after the terminal equipment used by the first user uploads positioning data as an effective time period for the first user to reach the target video. And establishing a second user time sequence distribution according to the effective time period of the first user reaching the target video.
In some optional implementations of this embodiment, the establishing subunit is further configured to: and acquiring the uploaded WiFi fingerprint data of the terminal equipment used by the user. And matching the acquired WiFi fingerprint data with target WiFi fingerprint data pre-associated with the target place. In response to a successful match, the user is counted as a second user located within the target site. And for a second user located in the target place, setting a time length before and after the WiFi fingerprint data are uploaded by the terminal equipment used by the second user as an effective time period for the second user to reach the target video. And establishing second user time sequence distribution according to the effective time period of the second user reaching the target video.
In some optional implementations of the embodiment, the target location is a target theater. And the apparatus further comprises a target WiFi fingerprint data acquisition unit (not shown in the figures), configured to: obtaining ticket taking data of at least one user in the target cinema to obtain a ticket taking data set, wherein the ticket taking data comprises ticket taking time. And for the ticket taking data in the ticket taking data set, acquiring first WiFi fingerprint data of preset times sent by the terminal equipment corresponding to the ticket taking data in a preset time period before and after the ticket taking time of the ticket taking data. And performing statistical analysis on at least one first WiFi fingerprint data, and generating target WiFi fingerprint data according to the statistical analysis result.
In some optional implementations of the embodiment, the target location is a target theater. And the establishing subunit is further configured to: and counting the users who get tickets in the target cinema within the preset time as third users in the target cinema. And for a third user in the target cinema, setting the time length before and after the movie playing time corresponding to the ticket drawing of the third user as the effective time period for the third user to reach the target video. And establishing a second user time sequence distribution according to the effective time period of the third user reaching the target video.
In some optional implementations of the embodiment, the target location is a target theater. And the establishing subunit is further configured to: and receiving terminal device data transmitted by a probe device installed in the target theater within the predetermined time period, wherein the terminal device data is data of a terminal device used by a fourth user located in the target theater within the predetermined time period. And for a fourth user in the target cinema, taking the time of the terminal equipment used by the fourth user detected by the probe equipment as the effective time period for the fourth user to reach the target video. And establishing a second user time sequence distribution according to the effective time period of the fourth user reaching the target video.
Referring now to FIG. 6, shown is a block diagram of a computer system 600 suitable for use in implementing a server according to embodiments of the present application. The server shown in fig. 6 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 6, the computer system 600 includes a Central Processing Unit (CPU)601 that can perform various appropriate actions and processes according to a program stored in a Read Only Memory (ROM) 602 or a program loaded from a storage section 606 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data necessary for the operation of the system 600 are also stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An Input/Output (I/O) interface 605 is also connected to bus 604.
The following components are connected to the I/O interface 605: a storage portion 606 including a hard disk and the like; and a communication section 607 including a Network interface card such as a LAN (Local Area Network) card, a modem, or the like. The communication section 607 performs communication processing via a network such as the internet. Drivers 608 are also connected to the I/O interface 605 as needed. A removable medium 609 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 608 as necessary, so that a computer program read out therefrom is mounted into the storage section 606 as necessary.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 607 and/or installed from the removable medium 609. The computer program performs the above-described functions defined in the method of the present application when executed by a Central Processing Unit (CPU) 601.
It should be noted that the computer readable medium described herein can be a computer readable signal medium or a computer readable storage medium or any combination of the two. 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 of the computer readable storage medium may include, but are not limited to: 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 present application, 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. In this application, however, 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 many 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, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present application 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).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software or hardware. The described units may also be provided in a processor, and may be described as: a processor includes a receiving unit, an obtaining unit, an establishing unit, and a matching unit. Where the names of these units do not in some cases constitute a limitation of the unit itself, for example, a receiving unit may also be described as a "unit receiving a statistical request".
As another aspect, the present application also provides a computer-readable medium, which may be contained in the apparatus described in the above embodiments; or may be present separately and not assembled into the device. The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to: receiving a statistical request, wherein the statistical request comprises a playing time period of a target video played by a screen in a target site; acquiring user group data of a user group which is acquired by at least two data acquisition modes and is positioned in the target place within a preset time period, wherein the playing time period of the target video is included in the preset time period; establishing a first user time series distribution based on user group data; and matching the playing time period of the target video with the time sequence distribution of the first user, and obtaining the number of the touch persons of the target video according to the matching result.
The above description is only a preferred embodiment of the application and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the invention herein disclosed is not limited to the particular combination of features described above, but also encompasses other arrangements formed by any combination of the above features or their equivalents without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (18)
1. A method for generating information, comprising:
receiving a statistical request, wherein the statistical request comprises a playing time period of a target video played by a screen in a target site;
acquiring user group data of a user group which is acquired by at least two data acquisition modes and is positioned in the target place within a preset time period, wherein the playing time period of the target video is included in the preset time period;
establishing a first user time series distribution based on user group data, wherein the first user time series distribution characterizes a distribution of users located within a target venue over a predetermined time period;
and matching the playing time period of the target video with the time sequence distribution of the first user, and obtaining the number of reach persons of the target video according to a matching result.
2. The method of claim 1, wherein the establishing a first user time series distribution based on user population data comprises:
for the data acquisition mode of the at least two data acquisition modes, establishing second user time series distribution of the user group data acquired by the data acquisition mode;
carrying out duplicate removal processing on users included in the established at least two second user time sequence distributions;
and merging the at least two second user time sequence distributions after the duplicate removal processing to obtain a first user time sequence distribution.
3. The method of claim 2, wherein the at least two data acquisition modalities include at least two of:
the method comprises the steps of obtaining a positioning data based mode, a WiFi fingerprint based mode, a user behavior based mode and a probe equipment based mode.
4. The method according to claim 3, wherein when the at least two data acquisition manners include an acquisition manner based on positioning data, the establishing, for a data acquisition manner of the at least two data acquisition manners, a second user time-series distribution of user group data obtained by the data acquisition manner includes:
acquiring positioning data uploaded by terminal equipment used by a user;
determining the distance between a user and a screen in the target place according to the positioning data;
in response to determining that the distance is smaller than a preset distance threshold and that the stay time of the user within the range of the preset distance threshold exceeds a preset time threshold, counting the user as a first user located in the target place;
for a first user located in the target place, setting a set time length before and after the terminal equipment used by the first user uploads positioning data as an effective time period for the first user to reach the target video;
and establishing second user time sequence distribution according to the effective time period of the first user reaching the target video.
5. The method according to claim 3, wherein when the at least two data acquisition manners include an acquisition manner based on WiFi fingerprint, the establishing, for a data acquisition manner of the at least two data acquisition manners, a second user time series distribution of user group data obtained by the data acquisition manner includes:
acquiring uploaded WiFi fingerprint data of terminal equipment used by a user;
matching the obtained WiFi fingerprint data with target WiFi fingerprint data pre-associated with the target place;
in response to a successful match, counting the user as a second user located within the target venue;
for a second user located in the target place, setting a time length before and after the terminal equipment used by the second user uploads WiFi fingerprint data as an effective time period for the second user to reach the target video;
and establishing second user time sequence distribution according to the effective time period of the second user reaching the target video.
6. The method of claim 5, wherein the destination venue is a destination theater; and
the target WiFi fingerprint data pre-associated with the target cinema is obtained through the following data acquisition modes:
obtaining ticket taking data of at least one user in the target cinema to obtain a ticket taking data set, wherein the ticket taking data comprises ticket taking time;
for the ticket taking data in the ticket taking data set, acquiring first WiFi fingerprint data of preset times sent by terminal equipment corresponding to the ticket taking data in a preset time period before and after the ticket taking time of the ticket taking data;
and performing statistical analysis on at least one first WiFi fingerprint data, and generating target WiFi fingerprint data according to the statistical analysis result.
7. The method of claim 3, wherein the destination venue is a destination theater; and
when the at least two data acquisition modes include an acquisition mode based on user behavior, establishing a second user time series distribution of user group data acquired by the data acquisition mode for the data acquisition mode of the at least two data acquisition modes, including:
counting the users who pick up tickets in the target cinema within the preset time as third users located in the target cinema;
for a third user in the target cinema, setting the time length before and after the playing time of the film corresponding to the ticket drawing of the third user as the effective time period for the third user to reach the target video;
and establishing a second user time sequence distribution according to the effective time period of the third user reaching the target video.
8. The method of claim 3, wherein the destination venue is a destination theater; and
when the at least two data acquisition modes include an acquisition mode based on the probe device, the establishing a second user time series distribution of the user group data acquired by the data acquisition mode for the data acquisition mode of the at least two data acquisition modes includes:
receiving terminal device data sent by a probe device installed in the target cinema within the preset time period, wherein the terminal device data is data of a terminal device used by a fourth user located in the target cinema within the preset time period;
for a fourth user located in the target cinema, taking the time when a terminal device used by the fourth user is detected by the probe device as an effective time period for the fourth user to reach the target video;
and establishing second user time sequence distribution according to the effective time period of the fourth user reaching the target video.
9. An apparatus for generating information, comprising:
a receiving unit configured to receive a statistical request, wherein the statistical request includes a play time period of a target video played by a screen in a target site;
an acquisition unit configured to acquire user group data of a user group located within the target site within a predetermined period of time, which is acquired by at least two data acquisition manners, wherein a playback period of the target video is included within the predetermined period of time;
an establishing unit configured to establish a first user time series distribution based on user group data, wherein the first user time series distribution characterizes a distribution of users located within a target venue within a predetermined time period;
and the matching unit is configured to match the playing time period of the target video with the time sequence distribution of the first user, and obtain the number of reach persons of the target video according to a matching result.
10. The apparatus of claim 9, wherein the establishing means comprises:
the establishing subunit is configured to establish, for a data acquisition mode of the at least two data acquisition modes, a second user time series distribution of the user group data obtained by the data acquisition mode;
a deduplication unit configured to perform deduplication processing on users included in the established at least two second user time series distributions;
and the merging unit is configured to merge the at least two second user time series distributions after the deduplication processing to obtain a first user time series distribution.
11. The apparatus of claim 10, wherein the at least two data acquisition modalities include at least two of:
the method comprises the steps of obtaining a positioning data based mode, a WiFi fingerprint based mode, a user behavior based mode and a probe equipment based mode.
12. The apparatus of claim 11, wherein the establishing subunit is further configured to:
acquiring positioning data uploaded by terminal equipment used by a user;
determining the distance between a user and a screen in the target place according to the positioning data;
in response to determining that the distance is smaller than a preset distance threshold and that the stay time of the user within the range of the preset distance threshold exceeds a preset time threshold, counting the user as a first user located in the target place;
for a first user located in the target place, setting a set time length before and after the terminal equipment used by the first user uploads positioning data as an effective time period for the first user to reach the target video;
and establishing second user time sequence distribution according to the effective time period of the first user reaching the target video.
13. The apparatus of claim 11, wherein the establishing subunit is further configured to:
acquiring uploaded WiFi fingerprint data of terminal equipment used by a user;
matching the obtained WiFi fingerprint data with target WiFi fingerprint data pre-associated with the target place;
in response to a successful match, counting the user as a second user located within the target venue;
for a second user located in the target place, setting a time length before and after the terminal equipment used by the second user uploads WiFi fingerprint data as an effective time period for the second user to reach the target video;
and establishing second user time sequence distribution according to the effective time period of the second user reaching the target video.
14. The apparatus of claim 13, wherein the destination venue is a destination theater; and
the apparatus further comprises a target WiFi fingerprint data acquisition unit configured to:
obtaining ticket taking data of at least one user in the target cinema to obtain a ticket taking data set, wherein the ticket taking data comprises ticket taking time;
for the ticket taking data in the ticket taking data set, acquiring first WiFi fingerprint data of preset times sent by terminal equipment corresponding to the ticket taking data in a preset time period before and after the ticket taking time of the ticket taking data;
and performing statistical analysis on at least one first WiFi fingerprint data, and generating target WiFi fingerprint data according to the statistical analysis result.
15. The apparatus of claim 11, wherein the destination venue is a destination theater; and
the establishing subunit is further configured to:
counting the users who pick up tickets in the target cinema within the preset time as third users located in the target cinema;
for a third user in the target cinema, setting the time length before and after the playing time of the film corresponding to the ticket drawing of the third user as the effective time period for the third user to reach the target video;
and establishing a second user time sequence distribution according to the effective time period of the third user reaching the target video.
16. The apparatus of claim 11, wherein the destination venue is a destination theater; and
the establishing subunit is further configured to:
receiving terminal device data sent by a probe device installed in the target cinema within the preset time period, wherein the terminal device data is data of a terminal device used by a fourth user located in the target cinema within the preset time period;
for a fourth user located in the target cinema, taking the time when a terminal device used by the fourth user is detected by the probe device as an effective time period for the fourth user to reach the target video;
and establishing second user time sequence distribution according to the effective time period of the fourth user reaching the target video.
17. A server, comprising:
one or more processors;
a storage device having one or more programs stored thereon,
when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-8.
18. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the method of any one of claims 1-8.
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| CN112308609B (en) * | 2020-10-31 | 2023-06-27 | 成都新潮传媒集团有限公司 | Advertisement putting charging method and device and computer equipment |
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