CN110113643A - A kind of advertisement placement method and device for IPTV platform - Google Patents

Abstract

Embodiments of the present invention provide an advertisement placement method and device for an IPTV platform, relate to the field of data processing, and can improve the accuracy of advertisement placement and the service level of the IPTV platform. The method includes: determining that the target user registers and opens the interactive network television IPTV service; obtaining the target user identification registered when the target user opens the IPTV service; querying the target user's advertisement consumption attribute in the user advertisement consumption attribute database according to the target user identification; The advertisement consumption attribute pushes advertisements for target users. The embodiment of the present application is applied to advertisement placement on an IPTV platform.

Description

Advertisement placement method and device for IPTV platform

technical field

Embodiments of the present invention relate to the field of data processing, and in particular to an advertisement placement method and device for an IPTV platform.

Background technique

Interactive personality television (IPTV) utilizes the infrastructure of the broadband cable television network, uses the home TV as the main terminal appliance, and provides various digital media services including TV programs through Internet protocols.

First of all, in the prior art, the user group of the IPTV platform is processed by using the multi-screen behavior data of smart terminal users as analysis data, and by analyzing the behavior trend of users, to understand the different attributes of users, and to classify and identify attributes , different users are identified with labels of different attributes, and the user's behavior trend is obtained by identifying different attribute labels, and the personnel profile that is close to the end user's behavior trend is obtained by abstraction. However, for content operators, this method is relatively easy to obtain relevant analysis data and is operable; for mobile communication network operators, it is difficult to obtain user's smart terminal behavior data, and this method is not operable .

Secondly, the current method of advertising based on the IPTV platform is a non-targeted delivery method, that is, different user groups receive the same advertisement when watching the same program, and there is no accurate targeted delivery after classifying users, resulting in the accuracy of the advertisement. And the hit rate is not high, not only a waste of advertising costs, but also a waste of corporate marketing materials and low efficiency of advertising on the IPTV platform, further easily causing unsatisfactory satisfaction of the user group.

Contents of the invention

Embodiments of the present invention provide an advertisement placement method and device for an IPTV platform, which can improve the accuracy of advertisement placement and the service level of the IPTV platform.

First aspect, provide a kind of advertisement delivery method that is used for IPTV platform, comprise the steps: determine target user to register and open interactive Internet TV IPTV service; Obtain the target user identification registered when target user opens IPTV service; According to the target user identification in Query the advertisement consumption attribute of the target user in the user advertisement consumption attribute database, wherein the user advertisement consumption attribute database includes the mapping relationship between the user ID and the user advertisement consumption attribute; and push the advertisement for the target user according to the advertisement consumption attribute of the target user.

In the above-mentioned scheme, since it is determined that the target user registers to open the interactive network television IPTV service; the target user identification registered when the target user opens the IPTV service is obtained; the target user advertisement consumption attribute is inquired in the user advertisement consumption attribute database according to the target user identification, wherein, The user advertisement consumption attribute database contains the mapping relationship between the user identifier and the user advertisement consumption attribute; pushes advertisements for the target user according to the advertisement consumption attribute of the target user. Therefore, in this application, the IPTV platform can query the user's advertising consumption attributes according to the user ID registered by the user when opening the IPTV service, and accurately place advertisements according to the user's advertising consumption attributes, which improves the accuracy, efficiency and hit rate of advertisement placement. , further reducing the waste of corporate marketing materials and improving the satisfaction of user groups.

In a second aspect, an advertisement delivery device for an IPTV platform is provided, including: a determination module, configured to determine that a target user registers to open an interactive network television IPTV service; User ID; a query module, configured to query the target user's advertising consumption attributes in the user advertising consumption attribute database according to the target user ID obtained by the acquisition module, wherein the user advertising consumption attribute database includes a mapping relationship between the user ID and the user's advertising consumption attributes; processing A module, configured to push advertisements for the target users according to the advertisement consumption attributes of the target users queried by the query module.

In a third aspect, there is provided a kind of advertising device for IPTV platform, including communication interface, processor, memory, bus; memory is used to store computer execution instructions, processor and memory are connected by bus, when used for the advertisement of IPTV platform When the delivery device is running, the processor executes the computer-executable instructions stored in the memory, so that the advertisement delivery device for the IPTV platform executes the advertisement delivery method for the IPTV platform as described in the first aspect above.

In a fourth aspect, a computer storage medium is provided, including instructions, and when the instructions are run on a computer, the computer is made to execute the above-mentioned advertisement delivery method for an IPTV platform.

According to a fifth aspect, a computer program product is provided, and the computer program product includes instruction codes, and the instruction codes are used to execute the advertisement delivery method for the IPTV platform as described above.

It can be understood that any of the advertisement delivery methods, computer storage media or computer program products provided above for the IPTV platform are all used to implement the method corresponding to the first aspect provided above, therefore, the benefits it can achieve For the effect, please refer to the method in the first aspect above and the beneficial effect of the corresponding solution in the detailed implementation below, and details will not be repeated here.

Description of drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only some of the present invention. Embodiments, for those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

FIG. 1 is a schematic diagram of a method for generating a user advertisement consumption attribute database provided by an embodiment of the present invention;

Fig. 2 is a schematic diagram of an advertisement delivery method for an IPTV platform provided by an embodiment of the present invention;

FIG. 3 is a schematic structural diagram of an advertisement delivery device for an IPTV platform provided by an embodiment of the present invention;

Fig. 4 is a schematic structural diagram of an advertisement delivery device for an IPTV platform provided by another embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

IPTV is a brand-new technology that utilizes broadband cable TV network and integrates Internet, multimedia, communication and other technologies to provide home users with a variety of interactive services including digital TV. IPTV has very flexible interactive features. Its programs can be released in the network by broadcasting, multicasting, and unicasting. It can be very flexible to realize electronic menus, program reservations, real-time fast forward, fast rewind, terminal account and Billing management, programming and other functions. In addition, other content services based on the Internet can also be launched, such as online games, e-mail, electronic financial management and so on.

The current method of advertising based on the IPTV platform is non-targeted delivery, that is, different user groups receive the same advertisement when watching the same program, and there is no precise targeted delivery after classifying users, resulting in the accuracy and hit of the advertisement. The rate is not high, which not only wastes advertising costs, but also causes waste of corporate marketing materials and low efficiency of IPTV platform advertising, which further easily leads to unsatisfactory satisfaction of user groups.

Therefore, for the above-mentioned existing problems, the present application firstly provides a method for generating user advertisement consumption attribute database, and classifies and stores users of the IPTV platform so that the IPTV platform can deliver targeted advertisements to different types of users. As shown in Figure 1, it specifically includes the following steps:

101. Obtain user basic data of the user.

The basic user data includes user identification and user information, and the user information includes wireless network (wireless fidelity, WIFI) data, measurement report (measurement report, MR) data, home broadband registration data, and operator B domain data.

Preferably, the user identifier in the user basic data is a unique identifier that can indicate the user's identity in the user data contained in the operator's B-domain data, for example, the user's mobile phone number.

Further, the user information also includes S1-MME interface data and base station work parameter data.

First, before obtaining the user's basic data, first, the IPTV platform obtains the data of the operator's B domain in the operator's B domain through the user's mobile phone number. Carrier B domain data includes:

User payment information: the user's payment amount, arrears amount, price and other data.

User basic information: user name, user identity information, type of package used by the user, expiration time of the user package, tariff information of the user package, information of the city where the user is located.

Second, MR data can be obtained through MR, wherein the MR includes a sample-type measurement report (measurement report original, MRO) and an event-triggered measurement report (measurement report event, MRE). MR data include:

End user ID in a mobility management entity (mobility management entity, MME): MME_UE_S1AP_ID.

Residential cell ID: CELL_ID, that is, the location of the MR's home base station.

Thirdly, the base station parameter data is acquired through the base station cell parameter. Base station parameter data includes: base station latitude and longitude, cell direction angle, antenna height, and neighbor cell information.

Fourth, the S1-MME interface data is obtained through the control plane interface S1-MME interface connecting the base station and the MME. S1-MME interface data includes: International Mobile Subscriber Identification Number (IMSI), International Mobile Equipment Identity (International Mobile Equipment Identity, IMEI), subscriber mobile phone number: mobile station integrated services digital network number (mobile station integrated services digital network number, MSISDN), end user ID in MME: MME_UE_S1AP_ID.

Fifth, obtain home broadband registration data through home broadband registration information. The home broadband registration data includes: the user's mobile phone number, and the user's home broadband registration location (that is, the home broadband installation address).

Sixth, the WIFI data of the user is acquired, and the WIFI data includes: WIFI online time, WIFI offline time.

Secondly, after the IPTV platform obtains six aspects of user information, including S1-MME interface data, base station industrial parameter data, WIFI data, MR data, home broadband registration data, and operator B-domain data, it first clears the invalid data in user information. Filter and clean the illegal data, and then associate the user ID of the same user with the user information, and obtain the basic user data related to the same user after association, as the analysis data of the user in the subsequent user behavior analysis process.

Further, the process of associating the user ID and user information of the same user is as follows: extract the operator B domain data, WIFI data, and home broadband registration data of the same user, and find the corresponding S1-MME interface data through the user's mobile phone number to perform Association; then use the MME internal user ID in the S1-MME interface data: MME_UE_S1AP_ID to find the MR data that contains the same MME internal terminal user ID: MME_UE_S1AP_ID; finally use the resident cell ID in the MR data: CELL_ID, that is The location of the MR home base station directly finds the corresponding base station work parameter data for association; completes the association process between the user ID and user information of the same user.

102. Perform user location analysis on the user according to the wireless network WIFI data, measurement report MR data, and home broadband registration data, and obtain a user location analysis result.

First of all, before obtaining the user location analysis results, it is necessary to analyze the user location based on WIFI data, MR data, and home broadband registration data, that is, the analysis of the real-time location of the user, including: when the WIFI data includes WIFI online time, WIFI offline time, etc. When going online, the WIFI address is used as the user location during the period from the WIFI online time to the WIFI offline time period. At 14:00, the WIFI address of the user's online and offline WIFI is used as the user's location.

When it is determined that the WIFI data does not include the WIFI online time and the WIFI offline time, if it is determined that the distance between the location of the MR home base station in the MR data and the home broadband registration location in the home broadband registration data is less than the first threshold, then the home broadband registration location As the user location; if it is determined that the distance between the location of the MR home base station in the MR data and the home broadband registration location in the home broadband registration data is greater than or equal to the first threshold, then the location of the MR home base station is used as the user location. Wherein, the selection of the first threshold is artificially set according to specific situations.

Secondly, by analyzing the user's real-time location, the user's location analysis result is obtained, and the user's location analysis result includes the user's residence location, user's work location, and user's travel mode.

First, by analyzing the real-time location of the user, the location of the user's residence is obtained, including: sampling the location of the user within the first predetermined time period, wherein, since the location of the user's residence is to be obtained, the first predetermined time period is selected from the evening of the same day to the first A time period between two mornings, for example, the first predetermined time period is selected from 22:00 in the evening to 06:00 in the morning.

If it is determined that the ratio of the first user location in the first predetermined time period to the sampled user locations in the first predetermined time period is greater than a second threshold, then use the first user location as the user's current location, wherein , the selection of the second threshold is artificially set according to specific situations. For example, the second threshold is artificially set to 50%; the home broadband registration location of users sampled from 22:00 in the evening to 06:00 in the morning accounts for 80% of the user locations of users sampled from 22:00 in the evening to 06:00 in the morning; The location of the user's MR home base station sampled from 22:00 p.m. to 06:00 a.m. (the distance between the location of the MR home base station and the home broadband registration location is greater than or equal to the first threshold) account for 5% of the user locations; the WIFI addresses of users sampled from 22:00 in the evening to 06:00 in the morning account for 15% of the user locations sampled from 22:00 in the evening to 06:00 in the morning; 50% of the user's home broadband registration location is used as the user's current location.

Count the user's current location within the predetermined number of days, wherein the selection of the predetermined number of days is artificially set according to the specific situation, for example, the predetermined number of days can be set to 10 days.

If it is determined that within the predetermined number of days the proportion of the first user's current day location within the predetermined number of days is greater than the third threshold, then the first user's current day location is used as the user's residence location, wherein the selection of the third threshold depends on the specific The situation is artificially set, for example, the scheduled number of days is 5 days, and the third threshold is 50%; the location of the user that is counted from the first day to the fourth day is the home broadband registration location, and the home broadband registration location is within the 5 days of the statistics. The user's location on the day accounts for 80%, which is greater than 50%. If the user's location on the fifth day is the WIFI address, then the WIFI address accounts for 20% of the user's location on the 5th day, which is less than 50%. Therefore, it will be greater than 50% of home broadband registration locations are used as user residence locations.

Second, by analyzing the real-time position of the user, the user's working position is obtained, including: sampling the user's position within the second predetermined time period every day according to the first predetermined period, preferably, the first predetermined period is selected as Monday to Friday; wherein , because the user's working location is to be obtained, the second predetermined time period is selected as a daytime time period of the current day, for example, the second predetermined time period is selected from 06:00 am to 18:00 pm.

If it is determined that the ratio of the second user position in the second predetermined time period of the first predetermined period to the sampled user position in the second predetermined time period is greater than the fourth threshold, the second user position is taken as the user's working position, wherein, The selection of the fourth threshold is artificially set according to specific situations, for example, the fourth threshold is artificially set to 50%.

Further, if the long-term statistics of the user's working location are fixed, the user's location during the time period from 06:00 am to 18:00 pm on Saturdays and Sundays is counted to determine whether the user is working on weekends. If so, the weekend time period is added to the working hours. Perform statistics on the working hours of users.

Further, when the statistical user's work location is not fixed, if the user is determined to be an enterprise group user according to the operator's B-domain data, the enterprise address will be used as the user's work location.

Third, by analyzing the real-time position of the user, the travel mode of the user is obtained, including: sampling the user's position within the third predetermined time period every day according to the second predetermined period, preferably, the second predetermined period is selected as Monday to Friday; wherein , to obtain the user's travel mode when the user commutes, therefore, the third predetermined time period is divided into two sub-time periods to sample the user's position, wherein the first sub-time period is preferably from 05:00 to 09:00, and the second The sub-time period is preferably from 17:00 to 21:00.

If it is determined that the MR home base station in the MR data in the third predetermined time period is covered by the subway sub-station, then it is determined that the travel mode of the user is subway travel.

103. Perform user consumption analysis on the user according to the data in domain B of the operator, and obtain a user consumption result.

Among them, the user's communication bill is obtained according to the user's billing amount, arrears amount, price and other data in the operator's B domain data; the user's communication bill is judged according to the package type used by the user in the operator's B domain data and the expiration time of the user's package The group attributes of the user; the user's call type is obtained according to the user's package tariff information in the operator's B domain data and the information of the city where the user is located.

104. Obtain a user behavior analysis result according to the user location analysis result and the user consumption result.

Further, according to the user's location, user's residence location, user's work location, user's travel mode, and user's working time obtained in step 102, the information such as the user's communication bill, the user's call type, and the user's group attribute obtained in step 103 is combined with the operation The user identity information in the business B domain data determines the user's age, gender, occupation, daily life rules, etc., and generates user behavior analysis results.

105. Determine user advertisement consumption attributes according to user behavior analysis results.

Furthermore, the user behavior analysis results include information such as the user's age, gender, occupation, daily routine, and communication consumption level, which will be used as the user's advertising consumption attributes.

106. Store the mapping relationship between the user identifier and the user's advertisement consumption attribute in the database, and generate a user's advertisement consumption attribute database.

Wherein, the user advertisement consumption attribute database includes at least one mapping relationship between user identifiers and user advertisement consumption attributes.

Of course, the above steps 101-106 only provide a way to generate the user advertisement consumption attribute database, and the user advertisement consumption attribute database generated in other ways can also be used in the advertisement delivery method of this application, as long as the user advertisement consumption attribute database contains the user identification The mapping relationship with user advertisement consumption attributes is sufficient. Based on the user advertisement consumption attribute database generated above, this application provides a solution for the problems of low accuracy and hit rate of advertisements placed on the IPTV platform and low user satisfaction in the prior art. A kind of advertisement delivery method that is used for IPTV platform, with reference to shown in Figure 2, specifically comprises the following steps:

201. Determine a target user to register and activate an IPTV service.

202. Obtain the target user identifier registered when the target user subscribes to the IPTV service.

Preferably, the target user identifier is the user's mobile phone number. Wherein, the target user will register user basic information when activating the IPTV service, such as name, phone number, address and other information.

203. Query the advertisement consumption attribute of the target user in the user advertisement consumption attribute database according to the target user identifier.

Wherein, based on the method for generating the user advertisement consumption attribute database, it can be known that the user advertisement consumption attribute database includes the mapping relationship between the user identifier and the user advertisement consumption attribute, and the advertisement consumption attribute of the target user can be queried according to the target user identifier.

204. Push an advertisement to the target user according to the advertisement consumption attribute of the target user.

Furthermore, after the target user registers and activates the IPTV service, the IPTV platform can collect the viewing information of the target user, including:

Target user information data: target user name, target user ID, type, status, account opening time.

Value-added service order consumption data: target user ID, ordered product type, name, price, validity period, and payment method.

Target user cancellation data: target user ID, cancellation time.

Target user switch data: target user ID, IP, set-top box ID, switch time.

Product package data: product name, description, category, lifecycle.

Content viewing receipt: target user ID, start time, end time, channel name, program content.

Live program list data: column name, channel name, start time, end time.

Live channel data: channel number, channel name, channel type, multicast address, whether time shifting is supported.

Further, the consumption attributes of the target user are updated according to the viewing information of the target user. For example, when the viewing information of the target user contains many cartoons, the attributes of parenting-related advertisements can be appropriately added according to the user's age and other information. After the advertisement consumption attribute of the target user is updated, a process of sending update information to the set-top box of the target user is started.

In the above-mentioned scheme, since it is determined that the target user registers to open the interactive network television IPTV service; the target user identification registered when the target user opens the IPTV service is obtained; the target user advertisement consumption attribute is inquired in the user advertisement consumption attribute database according to the target user identification, wherein, The user advertisement consumption attribute database contains the mapping relationship between the user identifier and the user advertisement consumption attribute; pushes advertisements for the target user according to the advertisement consumption attribute of the target user. First of all, this application generates user advertising consumption attributes by analyzing user basic data, and stores the mapping relationship between user identification and user advertising consumption attributes in the user advertising consumption attribute database, that is, users are classified into advertising attributes and stored in the User advertising consumption attribute database. When a user registers to open the IPTV service, the IPTV platform can query the user's advertising consumption attribute according to the user ID, and carry out precise advertisement placement, which improves the accuracy, efficiency and hit rate of advertisement placement and further reduces Reduce the waste of corporate marketing materials and improve the satisfaction of user groups. Secondly, for mobile communication network operators in this application, the required basic user data is easy to obtain and has operability.

The embodiments of the present invention can divide the function modules of the advertising delivery device for the IPTV platform according to the above-mentioned method embodiments, for example, each function module can be divided corresponding to each function, and two or more functions can also be integrated. in a processing module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software function modules. It should be noted that the division of modules in the embodiment of the present invention is schematic, and is only a logical function division, and there may be another division manner in actual implementation.

In the case of dividing each functional module corresponding to each function, FIG. 3 shows a possible structural diagram of the advertisement delivery device for the IPTV platform involved in the above embodiment. It is used to implement the above advertisement delivery method for the IPTV platform, wherein the advertisement delivery device for the IPTV platform is applied to the IPTV platform or a chip on the IPTV platform. Specifically, including:

Determining module 31, is used for determining that target user registers and opens interactive Internet TV IPTV service; Obtaining module 32, is used for obtaining the target user identification registered when described target user opens IPTV service; Query module 33, is used for according to described obtaining module 32. The acquired target user ID queries the target user's advertisement consumption attribute in the user advertisement consumption attribute database, wherein the user advertisement consumption attribute database includes a mapping relationship between the user identifier and the user advertisement consumption attribute; the processing module 34 is configured to The advertisement consumption attribute of the target user queried by the query module 33 pushes advertisements for the target user.

Optionally, the obtaining module 32 is also used to obtain basic user data of the user, wherein the basic user data includes user identification and user information, and the user information includes wireless network WIFI data, measurement report MR data, family Broadband registration data, operator B domain data; the acquisition module 32 is also used to analyze the user location of the user according to the wireless network WIFI data, the measurement report MR data, and the home broadband registration data, and obtain the user location Analysis result; the acquisition module 32 is also used to analyze the user consumption of the user according to the operator B domain data, and obtain the user consumption result; the acquisition module 32 is also used to analyze the result according to the user location and the user consumption result to obtain the user behavior analysis result; the determination module 31 is also used to determine the user advertisement consumption attribute according to the user behavior analysis result; the processing module 34 is also used to combine the user identification with the The mapping relationship of the user advertisement consumption attribute is stored in the database to generate the user advertisement consumption attribute database, wherein the user advertisement consumption attribute database includes at least one mapping relationship between the user identifier and the user advertisement consumption attribute.

Optionally, the acquisition module 32 is specifically configured to use the WIFI address as the user location during the period from the WIFI online time to the WIFI offline time when it is determined that the WIFI data includes the WIFI online time and the WIFI offline time The acquisition module 32 is specifically used for determining that the WIFI data does not include WIFI online time and WIFI offline time, if it is determined that the position of the MR home base station in the MR data is the same as that of the home broadband registration in the home broadband registration data If the distance of the position is less than the first threshold, then the home broadband registration position is taken as the user position; If the distance of the broadband registration location is greater than or equal to the first threshold, the location of the MR home base station is taken as the user location.

Optionally, the sampling module 35 is configured to sample user positions within a first predetermined time period; the determining module 31 is also configured to determine that the first user position within the first predetermined time period is within the first predetermined time period. If the ratio of the sampled user positions within the predetermined time period is greater than the second threshold, the first user position is used as the user's current position; the statistical module 36 is used to count the user's current position within the predetermined number of days; the determination module 31. It is also used to determine that the current day location of the first user within the predetermined number of days accounts for a proportion of the user's current day location within the predetermined number of days that is greater than a third threshold, then use the first user's current day location as the user's residence location .

Optionally, the sampling module 35 is configured to sample the user's location within a second predetermined time period every day according to the first predetermined period; the determination module 31 is also configured to determine the second predetermined time period of the first predetermined period If the ratio of the sampled user positions within the second predetermined time period within the second predetermined time period is greater than a fourth threshold, then the second user position is used as the user working position.

Optionally, the sampling module 35 is configured to sample the user position within a third predetermined time period every day according to the second predetermined period; the determination module 31 is also configured to determine if the MR in the MR data within the third predetermined time period If the home base station is covered by a subway sub-station, it is determined that the travel mode of the user is subway travel.

Optionally, the processing module 34 is further configured to update the advertising consumption attribute of the target user according to the viewing information of the target user.

In the case of adopting an integrated module, the advertising delivery device for the IPTV platform includes: a storage unit, a processing unit and an interface unit. The processing unit is used to control and manage the actions of the advertisement delivery device for the IPTV platform. The interface unit is responsible for the information interaction between the advertisement delivery device for the IPTV platform and other devices. The storage unit is responsible for storing the program code and data of the advertisement delivery device for the IPTV platform.

Wherein, the processing unit is a processor, the storage unit is a memory, and the interface unit is a communication interface as an example. Wherein, the advertising device for IPTV platform is shown in FIG. 4 , including a communication interface 401, a processor 402, a memory 403 and a bus 404.

The processor 402 may be a general-purpose central processing unit (Central Processing Unit, CPU), a microprocessor, a specific application integrated circuit (Application-Specific Integrated Circuit, ASIC), or one or more devices used to control the execution of the program program of this application. integrated circuit.

The memory 403 may be a read-only memory (Read-Only Memory, ROM) or other types of static storage devices that can store static information and instructions, and a random access memory (Random Access Memory, RAM) or other types that can store information and instructions It can also be an electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-only Memory, EEPROM), a CD-ROM (Compact Disc Read-Only Memory, CD-ROM) or other optical disk storage, optical disk storage ( including compact discs, laser discs, optical discs, digital versatile discs, blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or can be used to carry or store desired program code in the form of instructions or data structures and can be stored by a computer Any other medium, but not limited to. The memory can exist independently and be connected to the processor through the bus. Memory can also be integrated with the processor.

Wherein, the memory 403 is used to store the application program code for executing the solution of the present application, and the execution is controlled by the processor 402 . The communication interface 401 is used for information interaction with other devices, for example, supporting information interaction between an advertisement delivery device for an IPTV platform and other devices, for example, acquiring data from other devices or sending data to other devices. The processor 402 is configured to execute the application program code stored in the memory 403, so as to implement the method described in the embodiment of the present application.

In addition, a computing storage medium (or medium) is also provided, including instructions for performing the method operations performed by the advertising device for IPTV platform in the above embodiments when executed. In addition, a computer program product including the above computing storage medium (or medium) is also provided.

Wherein, all relevant content of each step involved in the above method embodiment can be referred to the function description of the corresponding function module, and its function will not be repeated here.

It should be understood that in various embodiments of the present invention, the sequence numbers of the above-mentioned processes do not mean the order of execution, and the execution order of each process should be determined by its functions and internal logic, rather than by the embodiment of the present invention. The implementation process constitutes any limitation.

Those skilled in the art can appreciate that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present invention.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods may be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or units may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit.

If the functions described above are realized in the form of software function units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (English full name: read-only memory, English abbreviation: ROM), random access memory (English full name: random access memory, English abbreviation: RAM), magnetic Various media that can store program codes such as discs or optical discs.

The above is only a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Anyone skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present invention. Should be covered within the protection scope of the present invention. Therefore, the protection scope of the present invention should be determined by the protection scope of the claims.

Claims (17)

1. a kind of advertisement placement method for IPTV platform, which is characterized in that

Determine that Interactive Internet TV IPTV service is opened in target user's registration；

It obtains the target user and opens the target user's mark registered when IPTV service；

According to target user mark, inquiry subscriber targeted advertisements consume attribute in user advertising consumption attribute database, In, the user advertising consumption attribute database includes the mapping relations of user identifier and user advertising consumption attribute；

Consuming attribute according to the subscriber targeted advertisements is target user's advertisement.

2. the advertisement placement method according to claim 1 for IPTV platform, which is characterized in that in the determining target User registration is opened before Interactive Internet TV IPTV service, further includes:

Obtain the user base data of user, wherein the user base data include user identifier and user information, described User information includes wireless network WIFI data, measurement report MR data, home broadband registration data, operator's B numeric field data；

User is carried out according to the wireless network WIFI data, the measurement report MR data, the home broadband registration data User location analysis obtains user location and analyzes result；

Customer consumption analysis is carried out to the user according to the operator B numeric field data, obtains customer consumption result；

Result is analyzed according to the user location and the customer consumption result obtains user behavior analysis result；

Determine that user advertising consumes attribute according to the user behavior analysis result；

The mapping relations of the user identifier and user advertising consumption attribute are stored in database, generate user advertising consumption Attribute database, wherein the user advertising consumption attribute database includes at least one described user identifier and the user The mapping relations of advertisement consumption attribute.

3. the advertisement placement method according to claim 2 for IPTV platform, which is characterized in that according to the wireless network WIFI data, the measurement report MR data, the home broadband registration data carry out user location analysis to user, obtain and use Family position analysis result, comprising:

When determining in WIFI data comprising WIFI on-line time, WIFI downtime, in the WIFI on-line time to described Using the address WIFI as user location in WIFI downtime section；

When determining in the WIFI data not comprising WIFI on-line time, WIFI downtime, however, it is determined that MR returns in MR data The position for belonging to base station is less than first threshold at a distance from home broadband registration location in the home broadband registration data, then by institute Home broadband registration location is stated as user location；

If it is determined that the position of MR home base station and home broadband registration position in the home broadband registration data in the MR data The distance set is greater than or equal to first threshold, then using the position of the MR home base station as user location.

4. the advertisement placement method according to claim 3 for IPTV platform, which is characterized in that described according to the nothing Gauze WIFI data, the measurement report MR data, the home broadband registration data carry out user location analysis to user, obtain Take family position analysis result, further includes:

Sample the user location in the first predetermined amount of time；

If it is determined that the user that the first user location in first predetermined amount of time samples in first predetermined amount of time The accounting of position is greater than second threshold, then using first user location as position on the day of user；

Count the user same day position in predetermined number of days；

If it is determined that position on the day of the user that the first user same day position in the predetermined number of days counts within the predetermined number of days Accounting be greater than third threshold value, then will first user same day position as user residence position.

5. the advertisement placement method according to claim 3 for IPTV platform, which is characterized in that described according to the nothing Gauze WIFI data, the measurement report MR data, the home broadband registration data carry out user location analysis to user, obtain Take family position analysis result, further includes:

According to the first predetermined period sample user position in the second predetermined amount of time daily；

If it is determined that the second user position in the second predetermined amount of time of first predetermined period is in second predetermined time The accounting of the user location sampled in section is greater than the 4th threshold value, then using the second user position as user job position.

6. the advertisement placement method according to claim 3 for IPTV platform, which is characterized in that described according to the nothing Gauze WIFI data, the measurement report MR data, the home broadband registration data carry out user location analysis to user, obtain Take family position analysis result, further includes:

According to the second predetermined period sample user position in third predetermined amount of time daily；

If it is determined that MR home base station is the covering of subway room substation in MR data in the third predetermined amount of time, it is determined that the use Family trip mode is subway trip.

7. the advertisement placement method according to claim 1 for IPTV platform, which is characterized in that in the determining target User registration is opened after IPTV service, further includes:

The subscriber targeted advertisements, which are updated, according to the audience information of the target user consumes attribute.

8. a kind of advertisement delivery device for IPTV platform, which is characterized in that

Determining module, for determining that Interactive Internet TV IPTV service is opened in target user's registration；

Module is obtained, for obtaining the target user registered when the target user opens IPTV service mark；

Enquiry module, the target user mark for being obtained according to the acquisition module consume attribute data in user advertising Subscriber targeted advertisements are inquired in library and consume attribute, wherein the user advertising consumption attribute database includes user identifier and uses The mapping relations of family advertisement consumption attribute；

Processing module, the subscriber targeted advertisements consumption attribute for being inquired according to the enquiry module are target use Family advertisement.

9. the advertisement delivery device according to claim 8 for IPTV platform, which is characterized in that

The acquisition module is also used to obtain the user base data of user, wherein the user base data include user's mark Know and user information, the user information include wireless network WIFI data, measurement report MR data, home broadband registrating number According to, operator's B numeric field data；

The acquisition module is also used to according to the wireless network WIFI data, the measurement report MR data, the home broadband Registration data carries out user location analysis to user, obtains user location and analyzes result；

The acquisition module is also used to carry out customer consumption analysis to the user according to the operator B numeric field data, obtains and use Consume result in family；

The acquisition module is also used to analyze result according to the user location and the customer consumption result obtains user behavior Analyze result；

The determining module is also used to determine that user advertising consumes attribute according to the user behavior analysis result；

The processing module is also used to the mapping relations of the user identifier and user advertising consumption attribute being stored in data Library generates user advertising and consumes attribute database, wherein the user advertising consumption attribute database includes described at least one The mapping relations of user identifier and user advertising consumption attribute.

10. the advertisement delivery device according to claim 9 for IPTV platform, which is characterized in that

The acquisition module, specifically for when determining in WIFI data comprising WIFI on-line time, WIFI downtime, in institute It states in WIFI on-line time to the WIFI downtime section using the address WIFI as user location；

The acquisition module is specifically used for working as in the determining WIFI data not comprising WIFI on-line time, WIFI downtime When, however, it is determined that in MR data in the position of MR home base station and the home broadband registration data home broadband registration location away from From first threshold is less than, then using the home broadband registration location as user location；

The acquisition module, specifically for if it is determined that the position of MR home base station and the home broadband are registered in the MR data The distance of home broadband registration location is greater than or equal to first threshold in data, then using the position of the MR home base station as use Family position.

11. the advertisement delivery device according to claim 10 for IPTV platform, which is characterized in that further include:

Sampling module, for sampling the user location in the first predetermined amount of time；

The determining module is also used to if it is determined that the first user location in first predetermined amount of time is predetermined described first The accounting of the user location sampled in period is greater than second threshold, then using first user location as position on the day of user It sets；

Statistical module, for position on the day of counting the user in predetermined number of days；

The determining module is also used to if it is determined that the first user same day position in the predetermined number of days is within the predetermined number of days The accounting of position is greater than third threshold value on the day of the user of statistics, then using the first user same day position as user residence position It sets.

12. the advertisement delivery device according to claim 10 for IPTV platform, which is characterized in that further include:

Sampling module, for according to the first predetermined period sample user position in the second predetermined amount of time daily；

The determining module is also used to the second user position if it is determined that in the second predetermined amount of time of first predetermined period The accounting of the user location sampled in second predetermined amount of time is greater than the 4th threshold value, then makees the second user position For user job position.

13. the advertisement delivery device according to claim 10 for IPTV platform, which is characterized in that further include:

Sampling module, for according to the second predetermined period sample user position in third predetermined amount of time daily；

The determining module is also used to if it is determined that MR home base station is subway room point in MR data in the third predetermined amount of time It stands covering, it is determined that user's trip mode is subway trip.

14. the advertisement delivery device according to claim 8 for IPTV platform, which is characterized in that

The processing module is also used to update the subscriber targeted advertisements consumption according to the audience information of the target user and belongs to Property.

15. a kind of advertisement delivery device for IPTV platform, which is characterized in that including communication interface, processor, memory, Bus；For storing computer executed instructions, the processor is connect with the memory by the bus memory, When the advertisement delivery device operation for IPTV platform, the computer that the processor executes the memory storage is held Row instruction, so that the advertisement delivery device for IPTV platform is executed and is used for as claim 1-7 is described in any item The advertisement placement method of IPTV platform.

16. a kind of computer storage medium, including instruction, which is characterized in that when described instruction is run on computers, so that The computer executes such as the described in any item advertisement placement methods for IPTV platform of claim 1-7.

17. a kind of computer program product, which is characterized in that the computer program product includes instruction code, described instruction Code is for executing such as the described in any item advertisement placement methods for IPTV platform of claim 1-7.