CN111260415A - Advertisement recommendation method and device - Google Patents
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- CN111260415A CN111260415A CN202010089342.0A CN202010089342A CN111260415A CN 111260415 A CN111260415 A CN 111260415A CN 202010089342 A CN202010089342 A CN 202010089342A CN 111260415 A CN111260415 A CN 111260415A
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Abstract
The application provides an advertisement recommendation method and device. The method comprises the steps of obtaining an advertisement recommendation request, wherein the advertisement recommendation request comprises a block chain identification of a user; acquiring user information from a block chain based on a block chain identifier of a user; and selecting the target advertisement based on the user information for recommendation, so that the advertisement can be accurately recommended to the user even if the user uses a new device without browsing records. Meanwhile, the user information in the block chain can not be tampered, so that the effectiveness of the user information can be guaranteed, and the accuracy of recommending advertisements for the user can be further improved.
Description
Technical Field
The present application relates to the field of computer and communication technologies, and in particular, to an advertisement recommendation method and apparatus.
Background
With the development of information technology, merchants generally improve awareness by placing advertisements, and ubiquitous advertisements bring huge economic benefits to the merchants.
The existing advertisement recommendation method is generally determined according to invested funds of merchants, and most of the merchants invested funds are more users recommending advertisements of the merchants. However, since this advertisement recommendation method does not necessarily attract users who see advertisements, it is difficult to bring benefits to merchants. Therefore, a more accurate advertisement recommendation method is provided, which makes the problem to be solved urgently.
Disclosure of Invention
The application aims to provide an advertisement recommendation method and device, which can accurately recommend advertisements to users.
According to an aspect of an embodiment of the present application, there is provided an advertisement recommendation method, including: acquiring an advertisement recommendation request, wherein the advertisement recommendation request comprises a block chain identifier of a user; acquiring user information from a block chain based on the block chain identification of the user; and selecting the target advertisement for recommendation based on the user information.
According to an aspect of an embodiment of the present application, there is provided an advertisement recommendation apparatus including: the device comprises a request module, an information module and a recommendation module.
In some embodiments of the present application, based on the foregoing solution, the request module is configured to obtain an advertisement recommendation request, where the advertisement recommendation request includes a blockchain identifier of a user; the information module is configured to obtain user information from a blockchain based on the blockchain identification of the user; the recommendation module is configured to select a targeted advertisement for recommendation based on the user information.
In some embodiments of the present application, based on the foregoing solution, the information module is further configured to: and acquiring a user portrait of the user from the block chain based on the block chain identification of the user, and acquiring the user information from the user portrait.
In some embodiments of the present application, based on the foregoing solution, the information module is further configured to: acquiring an advertisement recommendation system identifier; determining the information authorization range of the user to the advertisement recommendation system based on the advertisement recommendation system identification and the block chain identification of the user; and acquiring user information authorized by the user to the advertisement recommendation system from the user portrait based on the information authorization range.
In some embodiments of the present application, based on the foregoing, the recommendation module is further configured to: and selecting the target advertisement for recommendation based on the authorized user information.
In some embodiments of the present application, based on the foregoing solution, the information module is further configured to: if the authorized user information contains target user information; an electronic prize corresponding to the target user information is transmitted to the user.
In some embodiments of the present application, based on the foregoing solution, the advertisement recommendation apparatus further includes a revenue module configured to: displaying the target advertisement at a user side; determining revenue information obtained by the target advertisement through the display; and sending an electronic prize corresponding to the profit information to the user based on the profit information.
In some embodiments of the present application, based on the foregoing solution, the request module is further configured to: generating a user private key for the user through a blockchain based on the registration request of the user; encrypting the user private key to obtain a user public key; and encrypting the user public key to obtain the block chain identifier of the user.
In some embodiments of the present application, based on the foregoing solution, the request module is further configured to: sending a registration electronic prize to the user based on the user's registration request.
In some embodiments of the present application, based on the foregoing solution, the information module is further configured to: generating a user representation based on the user registration request; storing the user representation in correspondence with the user's blockchain identification in the blockchain.
According to an aspect of embodiments of the present application, there is provided a computer-readable program medium storing computer program instructions which, when executed by a computer, cause the computer to perform the method of any one of the above.
According to an aspect of an embodiment of the present application, there is provided an electronic apparatus including: a processor; a memory having computer readable instructions stored thereon which, when executed by the processor, implement the method of any of the above.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
in the technical solutions provided in some embodiments of the present application, by obtaining an advertisement recommendation request, where the advertisement recommendation request includes a blockchain identifier of a user, and the blockchain identifier corresponds to the user, the user can be distinguished according to the blockchain identifier of the user. When the user uses the new device without browsing records, the corresponding user can be confirmed according to the block chain identification of the user. The user information can be obtained from the block chain based on the block chain identification of the user, the user information can come from an advertisement recommendation system or other applications, the target advertisement is selected based on the user information for recommendation, and the advertisement can be accurately recommended for the user. Meanwhile, the user information in the block chain can not be tampered, so that the effectiveness of the user information can be guaranteed, and the accuracy of recommending advertisements for the user can be further improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
FIG. 1A shows a schematic diagram of an exemplary system architecture to which aspects of embodiments of the present application may be applied;
FIG. 1B shows a schematic diagram of an exemplary system architecture to which aspects of embodiments of the present application may be applied;
FIG. 1C is a diagram illustrating a data sharing system to which aspects of one embodiment of the present application may be applied;
FIG. 1D shows a block chain diagram to which one embodiment of the present application may be applied;
FIG. 1E is a diagram illustrating the generation of new tiles in a blockchain to which one embodiment of the present application may be applied;
FIG. 2 schematically illustrates a flow diagram of a method of advertisement recommendation according to an embodiment of the present application;
FIG. 3 schematically illustrates a block diagram of an advertisement push device according to one embodiment of the present application;
FIG. 4 is a hardware diagram of an electronic device shown in accordance with an exemplary embodiment;
fig. 5 is a computer-readable storage medium for implementing the advertisement recommendation method described above according to an exemplary embodiment.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the subject matter of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the application.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
Fig. 1A shows a schematic diagram of an exemplary system architecture 100A to which the technical solutions of the embodiments of the present application may be applied.
As shown in fig. 1A, the system architecture 100A may include a terminal device 101A (which may be one or more of a smartphone, a tablet, a laptop, a desktop computer), a network 102A, and a server 103A. Network 102A serves as a medium to provide a communication link between terminal device 101A and server 103A. Network 102A may include various connection types, such as wired communication links, wireless communication links, and so forth.
It should be understood that the number of terminal devices 101A, networks 102A, and servers 103A in fig. 1A is merely illustrative. There may be any number of terminal devices 101A, networks 102A, and servers 103A, as desired for implementation. For example, the server 103A may be a server cluster composed of a plurality of servers.
In an embodiment of the present application, the server 103A can identify the user identity according to the user's blockchain identifier by obtaining an advertisement recommendation request, where the advertisement recommendation request includes the user's blockchain identifier, and the blockchain identifier corresponds to the user identity. When the user uses the new device without browsing records, the user identity can be confirmed according to the blockchain identification of the user. The user information can be obtained from the block chain based on the block chain identification of the user, the user information can come from an advertisement recommendation system or other applications, the target advertisement is selected based on the user information for recommendation, and the advertisement can be accurately recommended for the user. Meanwhile, the user information in the block chain can not be tampered, so that the effectiveness of the user information can be guaranteed, and the accuracy of recommending advertisements for the user can be further improved.
It should be noted that the advertisement recommendation method provided in the embodiment of the present application is generally executed by the server 103A, and accordingly, the advertisement recommendation device is generally disposed in the server 103A. However, in other embodiments of the present application, the terminal device 101A may also have a similar function to the server 103A, so as to execute the advertisement recommendation method provided in the embodiments of the present application.
Fig. 1B shows a schematic diagram of an exemplary system architecture 100B to which the technical solutions of the embodiments of the present application can be applied.
As shown in fig. 1B, the system architecture 100B may include a terminal device 101B (which may be one or more of a smartphone, a tablet, a laptop, a desktop computer), an advertisement recommendation system 102B, and a blockchain system 103B.
The terminal device 101B sends an advertisement recommendation request to the advertisement recommendation system 102B, the advertisement recommendation request comprises a user's blockchain identifier, the advertisement recommendation system 102B obtains user information from the blockchain system 103B based on the user's blockchain identifier, and after the advertisement recommendation system 102B obtains the user information, a target advertisement is selected based on the user information and sent to the terminal device 101B, so that the advertisement is accurately recommended to the user.
It should be understood that the number of terminal devices 101B, advertisement recommendation systems 102B, and blockchain systems 103B in FIG. 1B are merely illustrative. There may be any number of terminal devices 101B, advertisement recommendation systems 102B, and blockchain systems 103B, as desired for an implementation.
Fig. 1C shows a schematic diagram of an exemplary data sharing system 100C to which the technical solution of the embodiment of the present invention can be applied.
Referring to the data sharing system 100C shown in fig. 1C, the data sharing system 100C is a system for performing data sharing between nodes, each node 101C may receive input information during normal operation, and maintain shared data in the data sharing system 100C based on the received input information. In order to ensure information intercommunication in the data sharing system 100C, an information connection may exist between each node 101C in the data sharing system 100C, and information transmission may be performed between the nodes 101C through the information connection. For example, when an arbitrary node 101C in the data sharing system 100C receives input information, other nodes 101C in the data sharing system 100C acquire the input information according to a consensus algorithm, and store the input information as data in shared data, so that the data stored on all nodes 101C in the data sharing system 100C are consistent.
Each node 101C in the data sharing system 100C has a node identifier corresponding thereto, and each node 101C in the data sharing system 100C may store the node identifiers of other nodes 101C in the data sharing system 100C, so that the generated block is broadcast to other nodes 101C in the data sharing system 100C according to the node identifiers of other nodes 101C. Each node 101C may maintain a node identifier list as shown in the following table, and store the node name and the node identifier in the node identifier list correspondingly. The node identifier may be an IP (Internet protocol ) address and any other information that can be used to identify the node, and table 1 only illustrates the IP address as an example.
| Node name | Node identification |
| Node 1 | 117.114.151.174 |
| Node 2 | 117.116.189.145 |
| … | … |
| Node N | 119.123.789.258 |
TABLE 1
FIG. 1D shows a schematic diagram of a blockchain to which one embodiment of the present application may be applied.
Each node in the data sharing system 100C stores one identical blockchain. The block chain is composed of a plurality of blocks, referring to fig. 1D, the block chain is composed of a plurality of blocks, the starting block includes a block header and a block main body, the block header stores an input information characteristic value, a version number, a timestamp and a difficulty value, and the block main body stores input information; the next block of the starting block takes the starting block as a parent block, the next block also comprises a block head and a block main body, the block head stores the input information characteristic value of the current block, the block head characteristic value of the parent block, the version number, the timestamp and the difficulty value, and the like, so that the block data stored in each block in the block chain is associated with the block data stored in the parent block, and the safety of the input information in the block is ensured.
Fig. 1E shows a schematic diagram of new chunk generation in a chunk chain to which an embodiment of the present application may be applied.
When each block in the block chain is generated, referring to fig. 1E, when the node where the block chain is located receives the input information, the input information is verified, after the verification is completed, the input information is stored in the memory pool, and the hash tree for recording the input information is updated; and then, updating the updating time stamp to the time when the input information is received, trying different random numbers, and calculating the characteristic value for multiple times, so that the calculated characteristic value can meet the following formula:
SHA256(SHA256(version+prev_hash+merkle_root+ntime+nbits+x))＜TARGET
wherein, SHA256 is a characteristic value algorithm used for calculating a characteristic value; version is version information of the relevant block protocol in the block chain; prev _ hash is a block head characteristic value of a parent block of the current block; merkle _ root is a characteristic value of the input information; ntime is the update time of the update timestamp; nCits is the current difficulty, is a fixed value within a period of time, and is determined again after the fixed time period is exceeded; x is a random number; TARGET is a feature threshold, which can be determined from nCits.
Therefore, when the random number meeting the formula is obtained through calculation, the information can be correspondingly stored, and the block head and the block main body are generated to obtain the current block. Then, the node where the block chain is located sends the newly generated blocks to the other nodes 101C in the data sharing system 100C respectively according to the node identifiers of the other nodes 101C in the data sharing system 100C, the other nodes 101C check the newly generated blocks, and after the check is completed, the newly generated blocks are added to the block chain stored in the node.
In one embodiment of the present application, the input information stored in the data sharing system 100C may be user information and/or a user representation.
The implementation details of the technical solution of the embodiment of the present application are set forth in detail below:
fig. 2 schematically shows a flowchart of an advertisement recommendation method according to an embodiment of the present application, where an execution subject of the advertisement recommendation method may be a server, such as the server 103A shown in fig. 1A.
Referring to fig. 2, the advertisement recommendation method at least includes steps S210 to S230, which are described in detail as follows:
in step S210, an advertisement recommendation request is obtained, where the advertisement recommendation request includes a blockchain identifier of a user.
In one embodiment of the present application, the advertisement recommendation request may be initiated by an application of the user client to the advertisement recommendation system, so that the advertisement recommendation system selects a target advertisement to push to the application initiating the advertisement recommendation request.
In an embodiment of the application, before the advertisement recommendation system obtains the advertisement recommendation request, the user authorization may be obtained first, and the blockchain identifier of the user may be obtained only after the user authorization is passed, so as to ensure the security of the user information stored in the blockchain.
In an embodiment of the application, before the application of the user client initiates an advertisement recommendation request to the advertisement recommendation system, the user authorization may be obtained first, and after the user agrees, the advertisement recommendation system may push the advertisement to the user.
In one embodiment of the application, a user private key may be generated for a user through a blockchain based on a registration request of the user; encrypting the user private key to obtain a user public key; and encrypting the public key of the user to obtain the block chain identification of the user.
In one embodiment of the application, a user private key can be randomly generated for a user through a blockchain based on a registration request of the user; encrypting the user private key by using an elliptic encryption algorithm to obtain a user public key; and carrying out Hash calculation on the public key of the user to obtain the block chain identification of the user.
In one embodiment of the present application, the user's blockchain identification may be a user public key or a user private key.
In an embodiment of the application, the advertisement recommendation system can acquire user information corresponding to the user's block chain identifier from the block chain through the user's block chain identifier, and then recommend the advertisement to the user according to the user information stored in the block chain, so as to realize more accurate advertisement recommendation for the user.
In one embodiment of the application, a registration electronic prize is sent to the user based on the user's registration request to incentivize the user to join the blockchain.
In an embodiment of the application, the registration request of the user may carry registration information, and the user is encouraged to join the block chain, so that the registration information in the block chain can be increased, and further, the user information generated according to the registration information in the block chain is increased, so that the advertisement is more accurately recommended to the user.
In one embodiment of the present application, the registration information of the user carried in the registration request of the user may include name, gender, geographic information, age, academic calendar, family information, hobbies, occupation, mobile phone model, mobile phone number, annual income, monthly income, annual expenditure, monthly expenditure, and the like.
In an embodiment of the present application, the registration information may include a terminal identifier used when the user registers, and the information stored in the terminal may be acquired according to the terminal identifier, and the acquired information stored in the terminal is stored in the blockchain as the registration information. The registration information acquired from the terminal may include a shopping account number of the user, historical transaction information corresponding to the shopping account number, a game account number, a browsing record, a collection record, a bank account number historical transaction record, and the like.
In one embodiment of the present application, due to the popularization of electronic payment, historical transaction information of a user stored in a user terminal may be acquired, and the historical transaction information of the user may include a product purchased by the user, an amount of money spent by the user to purchase the product, a shopping account number used by the user to purchase the product, a record of browsing the product before the user purchases the product, a purchase time, and the like. The user can acquire historical transaction information obtained by the user through transaction in the terminal by using the shopping account, the user can also acquire a bank account transaction record recorded in the terminal to obtain the historical transaction information of the user, and the acquired historical transaction information can be stored in the blockchain.
In an embodiment of the present application, all terminals corresponding to user identities may be identified according to user identity information stored in different user terminals, user information stored in all terminals by a user is acquired, and the user information and a block chain identifier of the user are stored in a block chain correspondingly.
In one embodiment of the present application, a user representation may be generated based on a registration request of a user; and storing the user portrait in the block chain corresponding to the block chain identification of the user.
In one embodiment of the present application, a user representation may be formed from a combination of registration information carried in a registration request.
In one embodiment of the present application, the user representation may be formed from an analysis of registration information carried in the registration request.
In one embodiment of the application, the user image may include user information such as professional characteristics, family structure, consumption motivation characteristics, repurchase type, payment habits, decision characteristics, demand, economic conditions, credit conditions, consumption ideas, attitude towards promotion, cognition on a certain brand, consumption habits, and the like.
In this embodiment, the professional characteristics of the user can be obtained according to professional analysis in the registration information of the user. The professional characteristics of the user can be analyzed according to the profession, and the professional characteristics can comprise whether the user needs to be compensated and ceremony sent, whether the user needs to take a certificate, whether certain specific goods need to be used and the like. High-grade clothes, high-grade gifts, liver-protecting health products and the like can be recommended for users needing to pay for gifts; a tool book corresponding to the occupation can be recommended for the user needing to take the certificate; certain specific articles can be recommended to users needing to use the articles so as to more accurately recommend advertisements to the users.
In this embodiment, the family structure of the user may be obtained by analyzing the registration information of the user, and the family structure of the user may be obtained according to the number of family members of the user and the age of the family members.
In this embodiment, the consumer motivational characteristics of the user may be analyzed based on historical transaction information in the registration information obtained from the terminal. The consumption motivation characteristics may be classified into beauty motivation, consumption motivation for family, and the like.
In this embodiment, the decision-making feature of the user may be analyzed based on historical transaction information in the registration information obtained from the terminal. The number and duration of times that the user browses the transaction product, the number of times of goods return and exchange of the user and the like in the historical transaction information can be acquired. The decision characteristics of the user may be classified into hesitation type, impulse type, deliberate type, etc.
In this embodiment, the consumption idea may be analyzed based on historical transaction information in the registration information obtained from the terminal. The consumption concept can be divided into economical, ordinary, high-grade and luxurious.
In this embodiment, the consumption habit may include a consumption time, a consumption place, and the like.
In step S220, user information is obtained from the blockchain based on the blockchain identification of the user.
In one embodiment of the present application, the user information may be registration information.
In one embodiment of the present application, the user information may be user information obtained by analyzing the user portrait based on the registration information. Because the user information in the user portrait is analyzed, the advertisement is recommended according to the analyzed registration information, and compared with the method of directly recommending the advertisement according to the registration information, the method is more accurate.
In an embodiment of the application, the advertisement recommendation system identifier can be obtained, the information authorization range of the user to the advertisement recommendation system is determined based on the advertisement recommendation system identifier and the user block chain identifier, the user information authorized by the user to the advertisement recommendation system is obtained from the user figure based on the information authorization range, the user information can be obtained only after the user authorization is obtained, and the privacy of the user can be respected.
In one embodiment of the present application, the information authorization range of the advertisement recommendation system by the user is a range of user information that can be obtained from the blockchain by the advertisement recommendation system.
For example, if the information authorization range of a user to a certain advertisement recommendation system includes the historical transaction information of the user and does not include the identity information of the user, the advertisement recommendation system can only obtain the historical transaction information of the user but cannot obtain the identity information of the user according to the advertisement recommendation system identifier and the blockchain identifier of the user. Wherein the historical transaction information of the user is the user information authorized by the user to the advertisement recommendation system.
In one embodiment of the present application, the advertisement recommendation system identifier may be a blockchain identifier of the advertisement recommendation system, and may be generated based on a registration request of the advertisement recommendation system for the blockchain.
In an embodiment of the application, an advertisement recommendation system private key may be generated for the advertisement recommendation system based on a registration request of the advertisement recommendation system for a block chain, the advertisement recommendation system private key is encrypted to obtain an advertisement recommendation system public key, and the advertisement recommendation system public key is encrypted to obtain a block chain identifier of the advertisement recommendation system.
In an embodiment of the application, a private key of the advertisement recommendation system may be randomly generated for the advertisement recommendation system based on a registration request of the advertisement recommendation system for the block chain, a public key of the advertisement recommendation system is obtained by encrypting the private key of the advertisement recommendation system through an elliptic curve encryption algorithm, and a block chain identifier of the advertisement recommendation system is obtained by performing hash calculation on the public key of the advertisement recommendation system.
In one embodiment of the present application, the blockchain identifier of the advertisement recommendation system may be a private key of the advertisement recommendation system or a public key of the advertisement recommendation system.
In one embodiment of the present application, a user representation, a user's blockchain identification, and a record of information may be stored in the blockchain.
In an embodiment of the application, after the advertisement recommendation system obtains the user authorization, the information authorization range of the user to the advertisement recommendation system is obtained, and the user information authorized by the user to the advertisement recommendation system is obtained from the user representation based on the authorization range.
In one embodiment of the present application, user information authorized by a user for the advertisement recommendation system, a blockchain identifier of the user, and an identifier formation information record of the advertisement recommendation system may be stored in the blockchain.
In an embodiment of the application, after the node in the block chain acquires the information record, hash operation can be performed on the information record to obtain summary data, and the summary data is signed by a private key of the node to obtain signature data; generating release data according to the public key, the information record and the signature data of the node; and issuing the issuing data to a recording pool of the block chain system to wait for writing the information record into the block chain.
In an embodiment of the application, a node in a blockchain acquires and acquires release data in a record pool of a blockchain system, wherein the release data comprises an information record, signature data and a public key of a publisher corresponding to the release data, the signature data is obtained by signing summary data through a private key of the publisher, and the summary data is obtained by performing hash operation on the information record; decrypting the signature data in the release data through a public key of a release party corresponding to the release data to obtain first decrypted data; performing hash operation on information records in the release data to obtain first data; if the first data is consistent with the first decryption data, constructing a block according to the information record in the release data; blocks are linked to a blockchain and synchronized in the blockchain system.
In an embodiment of the application, if the authorized user information includes the target user information, an electronic prize corresponding to the target user information is sent to the user, so that the user is encouraged to authorize more user information to the advertisement recommendation system.
In this embodiment, the target user information is user information that can have a large influence on advertisement recommendation, and the target user information may be set in advance. For example, if only the name of the user is obtained, the advertisement recommendation is not greatly influenced, and if the bank account transaction information can be obtained, the advertisement recommendation is greatly influenced. The bank account transaction information of the user may be set as the target user information. And if the authorization information range of the user to the advertisement recommendation system comprises the bank account transaction information, sending the electronic prize corresponding to the bank account transaction information to the user.
With continued reference to fig. 2, in step S230, a targeted advertisement is selected for recommendation based on the user information.
In an embodiment of the application, after the user information includes the historical transaction information, the historical transaction information of the product purchased by the user through advertisement conversion can be obtained according to the historical transaction information in which the user browses the product before purchasing the product, the advertisement type which is easy to convert by the user can be found, and the accuracy rate of recommending the advertisement for the user can be improved.
In an embodiment of the application, after the user information includes the historical transaction information, the frequent place or the work address of the user can be known according to the riding transaction record in the historical transaction information, a breakfast shop near the frequent place of the user can be recommended for the user, and a lunch box near the work address of the user can be recommended for the user on a weekday, so that the advertisement can be more accurately recommended for the user.
In an embodiment of the application, after the user information includes the user identity information, a product that may be needed by the user can be known according to the geographic information in the identity information, and if a certain disease is highly developed in a certain area, an advertisement related to the disease can be recommended to the user in the area.
In one embodiment of the present application, targeted advertisements may be selected for recommendation based on user information that the user authorizes the advertisement recommendation system. The privacy of the user is respected while the advertisements are recommended for the user.
In this embodiment, if the user information authorized by the user for the advertisement recommendation system includes only the age of the user, the advertisement recommendation system can only select an advertisement suitable for the age of the user from the advertisements to be recommended as the target advertisement.
In an embodiment of the application, the target advertisement can be displayed at the user side, the income information obtained by the target advertisement through display is determined, and the electronic prize corresponding to the income information is sent to the user based on the income information, so that the advertisement conversion rate of the user in the advertisement recommendation system is increased, and the stickiness of the user is increased.
In one embodiment of the present application, the revenue information obtained by the target advertisement through the presentation may include: the user benefits through the purchasing behavior of the advertisements recommended by the advertisement recommendation system and the benefits generated after the user forwards the advertisements recommended by the advertisement recommendation system.
In one embodiment of the present application, a combination of advertisements may be targeted.
In the embodiment of fig. 2, by obtaining the advertisement recommendation request, where the advertisement recommendation request includes a blockchain identifier of the user, and the blockchain identifier corresponds to the user, the user can be distinguished according to the blockchain identifier of the user. When the user uses the new device without browsing records, the corresponding user identity can be confirmed according to the block chain identification of the user. The user information can be obtained from the block chain based on the block chain identification of the user, the user information can come from an advertisement recommendation system or other applications, the target advertisement is selected based on the user information for recommendation, and the advertisement can be accurately recommended for the user. Meanwhile, the user information in the block chain can not be tampered, so that the effectiveness of the user information can be guaranteed, and the accuracy of recommending advertisements for the user can be further improved.
The following describes embodiments of an apparatus of the present application, which may be used to perform the advertisement recommendation method in the above embodiments of the present application. For details that are not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the advertisement recommendation method described above in the present application.
FIG. 3 schematically shows a block diagram of an advertisement recommendation device according to an embodiment of the present application.
Referring to fig. 3, an advertisement recommendation apparatus 300 according to an embodiment of the present application includes a request module 301, an information module 302, and a recommendation module 303.
In some embodiments of the present application, based on the foregoing solution, the request module 301 is configured to obtain an advertisement recommendation request, where the advertisement recommendation request includes a blockchain identifier of a user; the information module 302 is configured to obtain user information from the blockchain based on the blockchain identification of the user; the recommendation module 303 is configured for selecting targeted advertisements for recommendation based on the user information.
In some embodiments of the present application, based on the foregoing solution, the information module 302 is further configured to: based on the user's blockchain identification, a user representation of the user is obtained from the blockchain, and user information is obtained from the user representation.
In some embodiments of the present application, based on the foregoing solution, the information module 302 is further configured to: acquiring an advertisement recommendation system identifier; determining the information authorization range of the user to the advertisement recommendation system based on the advertisement recommendation system identification and the block chain identification of the user; and acquiring user information authorized by the user to the advertisement recommendation system from the user portrait based on the information authorization range.
In some embodiments of the present application, based on the foregoing solution, the recommending module 303 is further configured to: targeted advertisements are selected for recommendation based on authorized user information.
In some embodiments of the present application, based on the foregoing solution, the information module 303 is further configured to: if the authorized user information contains the target user information; an electronic prize corresponding to the target user information is transmitted to the user.
In some embodiments of the present application, based on the foregoing solution, the advertisement recommendation device further includes a revenue module configured to: displaying the target advertisement at a user side; determining income information obtained by the target advertisement through display; and sending the electronic prize corresponding to the profit information to the user based on the profit information.
In some embodiments of the present application, based on the foregoing solution, the request module 301 is further configured to: generating a user private key for the user through the blockchain based on the registration request of the user; encrypting the user private key to obtain a user public key; and encrypting the public key of the user to obtain the block chain identification of the user.
In some embodiments of the present application, based on the foregoing solution, the request module 301 is further configured to: based on the user's registration request, a registration electronic prize is sent to the user.
In some embodiments of the present application, based on the foregoing solution, the information module 302 is further configured to: generating a user representation based on the user registration request; and storing the user portrait in the block chain corresponding to the block chain identification of the user.
As will be appreciated by one skilled in the art, aspects of the present application may be embodied as a system, method or program product. Accordingly, various aspects of the present application may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 40 according to this embodiment of the present application is described below with reference to fig. 4. The electronic device 40 shown in fig. 4 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. 4, electronic device 40 is embodied in the form of a general purpose computing device. The components of electronic device 40 may include, but are not limited to: the at least one processing unit 41, the at least one memory unit 42, a bus 43 connecting different system components (including the memory unit 42 and the processing unit 41), and a display unit 44.
Wherein the storage unit stores program code executable by the processing unit 41 to cause the processing unit 41 to perform the steps according to various exemplary embodiments of the present application described in the section "example methods" above in this specification.
The storage unit 42 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)421 and/or a cache memory unit 422, and may further include a read only memory unit (ROM) 423.
The storage unit 42 may also include a program/utility 424 having a set (at least one) of program modules 425, such program modules 425 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 40 may also communicate with one or more external devices (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 40, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 40 to communicate with one or more other computing devices. Such communication may be through an input/output (I/O) interface 45. Also, the electronic device 40 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet) via the network adapter 46. As shown, the network adapter 46 communicates with other modules of the electronic device 40 via the bus 43. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with electronic device 40, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) execute the method according to the embodiments of the present application.
There is also provided, in accordance with an embodiment of the present application, a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, various aspects of the present application may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the present application described in the "exemplary methods" section above of this specification, when the program product is run on the terminal device.
Fig. 5 is a computer-readable storage medium for implementing the advertisement recommendation method described above according to an exemplary embodiment.
Referring to fig. 5, a program product 50 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present application is not limited thereto, and in this document, a 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.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, 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.
A computer readable signal medium may include a propagated data signal with 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 readable signal medium may also be any readable medium that is not a 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 readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations 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, 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 computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the present application, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (10)
1. An advertisement recommendation method, comprising:
acquiring an advertisement recommendation request, wherein the advertisement recommendation request comprises a block chain identifier of a user;
acquiring user information from a block chain based on the block chain identification of the user;
and selecting the target advertisement for recommendation based on the user information.
2. The advertisement recommendation method of claim 1, wherein the obtaining user information from a blockchain based on the user's blockchain identification comprises:
and acquiring a user portrait of the user from the block chain based on the block chain identification of the user, and acquiring the user information from the user portrait.
3. The advertisement recommendation method of claim 2, wherein obtaining the user information from the user representation comprises:
acquiring an advertisement recommendation system identifier;
determining the information authorization range of the user to the advertisement recommendation system based on the advertisement recommendation system identification and the block chain identification of the user;
and acquiring user information authorized by the user to the advertisement recommendation system from the user portrait based on the information authorization range.
4. The advertisement recommendation method of claim 3, wherein the selecting a target advertisement for recommendation based on the user information comprises:
and selecting the target advertisement for recommendation based on the authorized user information.
5. The advertisement recommendation method of claim 3, wherein after obtaining the user information from the user representation based on the information authorization scope, the method further comprises:
if the authorized user information contains target user information;
an electronic prize corresponding to the target user information is transmitted to the user.
6. The advertisement recommendation method according to claim 1, wherein after selecting an advertisement for recommendation based on the user information, the method further comprises:
displaying the target advertisement at a user side;
determining revenue information obtained by the target advertisement through the display;
and sending an electronic prize corresponding to the profit information to the user based on the profit information.
7. The advertisement recommendation method of claim 1, wherein before obtaining the advertisement recommendation request, the method further comprises:
generating a user private key for the user through a blockchain based on the registration request of the user;
encrypting the user private key to obtain a user public key;
and encrypting the user public key to obtain the block chain identifier of the user.
8. The advertisement recommendation method of claim 7, wherein after the blockchain randomly generates a user private key for the user based on the user's registration request, the method further comprises:
sending a registration electronic prize to the user based on the user's registration request.
9. The advertisement recommendation method of claim 7, wherein before obtaining user information from a blockchain based on the user's blockchain identification, the method comprises:
generating a user representation based on the user registration request;
storing the user representation in correspondence with the user's blockchain identification in the blockchain.
10. An advertisement recommendation apparatus, comprising:
the system comprises a request module, a recommendation module and a recommendation module, wherein the request module is used for obtaining an advertisement recommendation request which comprises a block chain identifier of a user;
the information module is used for acquiring user information from the block chain based on the block chain identification of the user;
and the recommending module is used for selecting the target advertisement based on the user information to recommend.
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| CN202010089342.0A CN111260415A (en) | 2020-02-12 | 2020-02-12 | Advertisement recommendation method and device |
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| CN202010089342.0A CN111260415A (en) | 2020-02-12 | 2020-02-12 | Advertisement recommendation method and device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112308627A (en) * | 2020-11-11 | 2021-02-02 | 陈炜炜 | Advertisement data access method based on block chain and artificial intelligence and big data center |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112308627A (en) * | 2020-11-11 | 2021-02-02 | 陈炜炜 | Advertisement data access method based on block chain and artificial intelligence and big data center |
| CN112308627B (en) * | 2020-11-11 | 2021-12-07 | 农夫铺子发展集团有限公司 | Advertisement data access method based on block chain and artificial intelligence and big data center |
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