WO2021218778A1

WO2021218778A1 - User recommendation based on blockchain

Info

Publication number: WO2021218778A1
Application number: PCT/CN2021/089043
Authority: WO
Inventors: 彭郢; 孙灵奡
Original assignee: 支付宝实验室(新加坡)有限公司
Priority date: 2020-04-26
Filing date: 2021-04-22
Publication date: 2021-11-04
Also published as: CN111523052A

Abstract

A user recommendation method and apparatus based on a blockchain, and an electronic device. The method may comprise: receiving a data disclosure request that is initiated by a user after he/she completes a target service, wherein the data disclosure request comprises personal data that is chosen to be disclosed from service data related to the target service; publishing the acquired personal data of the user to a blockchain for storage; in response to an operation initiated by the user, matching the personal data of the user stored in the blockchain with personal data that is stored in the blockchain and is chosen to be disclosed when other users complete the target service, so as to determine whether the personal data of the user and the personal data of the other users include the same user characteristic; and when the personal data of the user and the personal data of any other user include the same user characteristic, recommending any of the other users to the user.

Description

Blockchain-based user recommendation

Technical field

One or more embodiments of this specification relate to the field of blockchain technology, and in particular to a method and device for user recommendation based on blockchain, and electronic equipment.

Background technique

Blockchain technology, also known as distributed ledger technology, is an emerging technology in which several computing devices participate in "bookkeeping" and jointly maintain a complete distributed database. Because the blockchain technology has the characteristics of decentralization, openness and transparency, each computing device can participate in database records, and the rapid data synchronization between computing devices, the blockchain technology has been widely used in many fields. To apply.

Summary of the invention

This specification proposes a block chain-based user recommendation method. The method includes: receiving a data disclosure request initiated by a user after completing a target business, and the data disclosure request includes data from the business data related to the target business Select public personal data; publish the acquired personal data of the user to the blockchain for storage; in response to the operation initiated by the user, store the personal data of the user on the blockchain, Match with the personal data stored by the blockchain that other users choose to disclose when completing the target business to determine whether the personal data of the user and the personal data of the other users contain the same user characteristics; When the personal data of the user and the personal data of any other user contain the same user characteristics, the any other user is recommended to the user.

Optionally, the method further includes: in response to a service request for the target service initiated by a user, performing service verification for the service request, the service verification including verification of the user's identity and verification for the service The authenticity of the request is verified; if the service verification for the user passes, the target service corresponding to the service request is executed, and the service execution result of the target service processing is sent to the user. The service execution result includes and Business data related to the target business.

Optionally, the target business includes a study abroad remittance service, and the same user characteristics include the same remittance recipient in the study abroad remittance service. The personal data of the user stored in the blockchain is matched with the personal data stored in the blockchain that other users choose to disclose when completing the target business, so as to determine the user's personal data Whether the data and the personal data of the other users contain the same user characteristics, including: the personal data of the user stored in the block chain, and the personal data of the user stored in the block chain when the other users complete the remittance for studying abroad During the business, the public personal data is selected for matching to determine whether the personal data of the user and the personal data of the other users contain the same remittance recipient.

Optionally, when the personal data of the user and the personal data of any other user contain the same user characteristics, recommending any other user to the user includes: the personal data of the user When the personal data of any other user contains the same remittance recipient, recommend any other user to the user.

Optionally, publishing the acquired personal data of the user to the blockchain for storage includes: performing homomorphic encryption on the acquired personal data of the user, and homomorphic encryption of all the obtained personal data of the user. The personal data of the user is published to the blockchain for storage.

This specification also proposes a block chain-based user recommendation device. The device includes: a receiving module that receives a data disclosure request initiated by a user after completing the target business, and the data disclosure request includes information related to the target business. Select the public personal data from the business data of the user; the publishing module, which publishes the acquired personal data of the user to the blockchain for storage; the recommendation module, which in response to the operation initiated by the user, sends the block The user’s personal data stored in the blockchain is matched with the personal data stored in the blockchain that other users choose to disclose when completing the target business, so as to determine whether the user’s personal data matches the other users’ personal data. Does the personal data contain the same user characteristics.

Optionally, the recommendation module further recommends any other user to the user when the personal data of the user and the personal data of any other user contain the same user characteristics.

Optionally, the receiving module further: in response to a service request for the target service initiated by the user, perform service verification for the service request, and the service verification includes a verification of the user's identity and Verification of the authenticity of the service request; if the service verification for the user passes, execute the target service corresponding to the service request, and send the service execution result of the target service processing to the user, the service execution The result includes business data related to the target business.

Optionally, the target business includes a study abroad remittance service, and the same user characteristics include the same remittance recipient in the study abroad remittance service. The recommendation module further matches the personal data of the user stored in the blockchain with the personal data stored in the blockchain that other users choose to disclose when completing the study abroad remittance business, to determine the Whether the personal data of the user and the personal data of the other users include the same remittance recipient.

Optionally, the recommendation module further recommends any other user to the user when the personal data of the user and the personal data of any other user include the same remittance recipient.

Optionally, the publishing module further performs homomorphic encryption on the acquired personal data of the user, and publishes the homomorphic encrypted personal data of the user to the blockchain for storage.

In the above technical solution, the personal data related to the user's execution target business is selected and published and released to the blockchain for storage; and, in response to the user's operation, the user and other users who have been stored in the blockchain The personal data of the user is matched, and other users who have the same user characteristics as the user determined by the match are recommended to the user, providing multiple users performing the same target business with flexible ways and guarantees to establish credible social relationships.

Description of the drawings

FIG. 1 is a flowchart of a method for user recommendation based on blockchain according to an embodiment of this specification;

FIG. 2 is a schematic structural diagram of an electronic device provided by an embodiment of this specification;

Fig. 3 is a block diagram of a block chain-based user recommendation device provided by an embodiment of the present specification.

Detailed ways

The exemplary embodiments will be described in detail here, and examples thereof are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with one or more embodiments of this specification. Rather, they are merely examples of devices and methods consistent with some aspects of one or more embodiments of this specification as detailed in the appended claims.

It should be noted that in other embodiments, the steps of the corresponding method may not be executed in the order shown and described in this specification. In some other embodiments, the method may include more or fewer steps than described in this specification. In addition, a single step described in this specification may be decomposed into multiple steps for description in other embodiments; and multiple steps described in this specification may also be combined into a single step in other embodiments. describe.

In order to facilitate understanding, here is a brief introduction to the concepts and basic principles related to the blockchain.

Blockchain is generally divided into three types: Public Blockchain, Private Blockchain and Consortium Blockchain. In addition, there can also be a combination of the above types, such as private chain + consortium chain, consortium chain + public chain, and so on.

Among them, the most decentralized one is the public chain. The public chain is represented by Bitcoin and Ethereum. Participants who join the public chain (also called nodes in the blockchain) can read the data records on the chain, participate in transactions, and compete for the accounting rights of new blocks, etc. . Moreover, each node can freely join or exit the network, and perform related operations.

The private chain is the opposite. The write permission of the network is controlled by an organization or institution, and the data read permission is regulated by the organization. In simple terms, a private chain can be a weakly centralized system with strict restrictions on nodes and a small number of nodes. This type of blockchain is more suitable for internal use by specific institutions.

Consortium chain is a block chain between public chain and private chain, which can realize "partial decentralization". Each node in the alliance chain usually has a corresponding entity or organization; nodes are authorized to join the network and form a stakeholder alliance to jointly maintain the operation of the blockchain.

Based on the basic characteristics of the blockchain, the blockchain is usually composed of several blocks. The time stamps corresponding to the creation time of the block are respectively recorded in these blocks, and all the blocks strictly follow the time stamps recorded in the block to form a time-ordered data chain.

For the real data generated in the physical world, it can be constructed into a standard transaction format supported by the blockchain, and then published to the blockchain, and the node devices in the blockchain will perform consensus processing on the received transactions , And after reaching a consensus, the node device as the bookkeeping node in the block chain will package the transaction into the block and carry out persistent storage in the block chain.

Among them, the consensus algorithms supported in the blockchain can include:

The first type of consensus algorithm, that is, the consensus algorithm that node devices need to compete for the accounting right of each round of accounting cycle; for example, Proof of Work (POW), Proof of Stake (POS), appointment Consensus algorithms such as Delegated Proof of Stake (DPOS);

The second type of consensus algorithm is a consensus algorithm that pre-selects accounting nodes for each round of accounting cycles (without competing for accounting rights); for example, practical Byzantine Fault Tolerance (PBFT) and other consensus algorithms.

In the blockchain network using the first type of consensus algorithm, all node devices that compete for the right to keep accounts can execute the transaction after receiving the transaction. Among the node devices that compete for the right to bookkeeping, one node device may win this round of contention for the right to bookkeeping and become the bookkeeping node. The accounting node can package the received transaction with other transactions to generate a candidate block, and send the generated candidate block or the block header of the candidate block to other node devices for consensus.

In the blockchain network using the second type of consensus algorithm, the node device with the right to book accounts has been agreed before this round of bookkeeping. Therefore, after the node device receives the transaction, if it is not the accounting node of this round, it can send the transaction to the accounting node. For the billing node of this round, the transaction can be executed during or before the process of packaging the transaction with other transactions to generate a candidate block. After the accounting node generates the candidate block, it can send the candidate block or the block header of the candidate block to other node devices for consensus.

As mentioned above, no matter which consensus algorithm shown above is adopted by the blockchain, the accounting node in this round can package the received transaction to generate a candidate block, and the generated candidate block or the candidate block The header of the block is sent to other node devices for consensus verification. If other node devices receive the candidate block or the block header of the candidate block, and there is no problem after verification, the candidate block can be appended to the end of the original blockchain as the latest block to complete the block chain. Accounting process. In the process of other nodes verifying the new block or block header sent by the accounting node, the transactions contained in the block can also be executed.

In the field of blockchain, an important concept is Account; taking Ethereum as an example, Ethereum usually divides accounts into external accounts and contract accounts; external accounts are accounts directly controlled by users, also called It is a user account; while a contract account is an account created by a user through an external account and contains the contract code (ie smart contract).

Of course, for some blockchain models derived from the Ethereum architecture (such as the Ant blockchain), the account types supported by the blockchain can also be further extended, which is not particularly limited in this specification.

For accounts in the blockchain, a structure is usually used to maintain the account status of the account. When the transaction in the block is executed, the state of the account related to the transaction in the blockchain will usually also change.

Taking Ethereum as an example, the structure of an account usually includes fields such as Balance, Nonce, Code, and Storage. in:

The Balance field is used to maintain the current account balance of the account;

The Nonce field is used to maintain the number of transactions of the account; it is a counter used to ensure that each transaction can be processed and can only be processed once, effectively avoiding replay attacks;

The Code field is used to maintain the contract code of the account; in actual applications, the Code field usually only maintains the hash value of the contract code; therefore, the Code field is usually also called the Codehash field.

The Storage field is used to maintain the storage content of the account (the default field value is empty); for contract accounts, an independent storage space is usually allocated to store the storage content of the contract account; the independent storage space is usually Call it the account storage of the contract account. The storage content of the contract account is usually constructed as an MPT (Merkle Patricia Trie) tree and the data structure is stored in the above independent storage space; among them, the MPT tree constructed based on the storage content of the contract account is usually also called the Storage tree . The Storage field usually only maintains the root node of the Storage tree; therefore, the Storage field is usually also called the StorageRoot field.

Among them, for the external account, the field values of the Code field and the Storage field shown above are all null values.

For most blockchain models, Merkle trees are usually used; or, based on the data structure of Merkle trees, to store and maintain data. Take Ethereum as an example. Ethereum uses MPT tree (a variant of Merkle tree) as a form of data organization to organize and manage important data such as account status and transaction information.

Ethereum has designed three MPT trees for the data that needs to be stored and maintained in the blockchain, namely the MPT state tree, the MPT transaction tree and the MPT receipt tree. Among them, in addition to the above three MPT trees, there is actually a Storage tree constructed based on the storage content of the contract account.

MPT state tree is an MPT tree organized by the account state data of all accounts in the blockchain; MPT transaction tree is an MPT tree organized by transaction data in the blockchain; MPT receipt tree , Is the MPT tree organized by the receipt of each transaction generated after the transactions in the block are executed. The hash values of the root nodes of the MPT state tree, MPT transaction tree, and MPT receipt tree shown above will all be added to the block header of the corresponding block eventually.

Among them, the MPT transaction tree and MPT receipt tree correspond to blocks, that is, each block has its own MPT transaction tree and MPT receipt tree. The MPT state tree is a global MPT tree, which does not correspond to a specific block, but covers the account state data of all accounts in the blockchain.

The organized MPT transaction tree, MPT receipt tree, and MPT state tree will eventually be stored in a Key-Value database (for example, LevelDB) that uses a multi-level data storage structure.

The above-mentioned database with a multi-level data storage structure usually adopts a multi-level data storage structure, which can be divided into n-level data storage; for example, each level of data storage can be set to L0, L1, L2, L3... L(n-1); For all levels of data storage in the above database, the smaller the level number, the higher the level; for example, L0 stores the latest blocks of data, and L1 stores the newest blocks. Block data, and so on.

Among them, the read and write performance of storage media corresponding to all levels of data storage may also generally have performance differences; for example, the read and write performance of storage media corresponding to data storage with a high level (ie, with a smaller level number) can be higher than the level Low data storage corresponds to the read and write performance of the storage medium. In practical applications, high-level data storage can use storage media with higher storage costs and better storage performance; while low-level data storage can use storage media with low unit cost and larger capacity.

In practical applications, as the block number of the blockchain increases (also called block height), the data stored in the database will contain a lot of historical data; moreover, the smaller the block number, the smaller the block number. The older the data, the less important it is. Therefore, in order to reduce the overall storage cost, data of different block heights can usually be "differentiated"; for example, data in a block with a smaller block number can be stored on a storage medium with a lower cost; The data in the block with the larger block number is stored on a storage medium with a higher cost.

It should be noted that each time the blockchain generates a newest block, after the transaction in the latest block is executed, the relevant account of the executed transaction in the blockchain (can be an external account or a contract account) The account status of, usually will also change accordingly;

For example, when a "transfer transaction" in the block is executed, the balances of the transferor account and transferee account related to the "transfer transaction" (that is, the field value of the Balance field of these accounts) are usually also Will change accordingly.

After the transaction of the node device in the latest block generated by the blockchain is completed, because the account status in the current blockchain has changed, the node device needs to use the current account status data of all accounts in the blockchain to Construct the MPT state tree to maintain the latest state of all accounts in the blockchain.

That is, whenever a newest block is generated in the blockchain, and the transaction in the latest block is executed, the account status in the blockchain changes, and the node device needs to be based on all accounts in the blockchain With the latest account status data, rebuild an MPT status tree. In other words, each block in the blockchain has a corresponding MPT state tree; the MPT state tree maintains that after the transactions in the block are executed, all accounts in the blockchain are up to date The status of the account.

In this manual, the purpose of this manual is to propose a technical solution that selects and discloses personal data related to the user's execution of the target business and publishes it to the blockchain for storage, and performs user recommendation based on personal data matching.

In implementation, a server that provides users with the target business receives a data disclosure request initiated by the user after completing the target business; wherein the data disclosure request includes selecting personal data to be disclosed from business data related to the target business.

Further, the server publishes the acquired personal data of the user to the blockchain for storage; in response to the operation initiated by the user, the personal data of the user stored in the blockchain is combined with the data stored in the blockchain. When other users complete the target business, they choose to match the disclosed personal data to determine whether the user’s personal data and the other users’ personal data contain the same user characteristics; when the user’s personal data matches any other user’s personal data When the data contains the same user characteristics, any other user is recommended to the user.

This specification will be described below through specific embodiments in combination with specific application scenarios.

Please refer to Figure 1. Figure 1 is a blockchain-based user recommendation method provided by an embodiment of this specification, which is applied to a server that provides users with target services. The method performs the following steps:

Step 102: Receive a data disclosure request initiated by the user after completing the target business; wherein the data disclosure request includes selecting personal data to be disclosed from business data related to the target business.

Step 104: Publish the acquired personal data of the user to the blockchain for storage.

Step 106: In response to the operation initiated by the user, combine the personal data of the user stored in the blockchain with the personal data stored in the blockchain that other users choose to disclose when completing the target business Matching is performed to determine whether the personal data of the user and the personal data of the other users contain the same user characteristics.

Step 108: When the personal data of the user and the personal data of any other user contain the same user characteristics, recommend any other user to the user.

In this specification, the above-mentioned target business can include any type of business. For example, in practical applications, the aforementioned target business may include financial business, medical business, e-commerce business, city service business, cross-border remittance business, etc.

In this specification, the above-mentioned server may include a machine or a cluster of machines that provides the user with the above-mentioned target service; wherein, the above-mentioned server may provide the user with the above-mentioned target service through a corresponding client.

For example, in practical applications, the above-mentioned server may include Alipay, Taobao/Tmall, Alibaba Cloud, etc. that provide users with financial services, medical services, e-commerce services, urban services, cross-border services, etc. .

In this specification, the above-mentioned server can provide users with the above-mentioned target service through the corresponding client.

For example, in practical applications, the above-mentioned server provides users with financial services, medical services, e-commerce services, urban services, cross-border services, etc. Alipay services, Taobao/Tmall services, and Alibaba Cloud services; accordingly; The above-mentioned server can provide users with financial services, medical services, e-commerce services, city service services, cross-border remittance services and other services by connecting to the corresponding Alipay client, Taobao/Tmall client, and Alibaba Cloud client.

In this specification, the above-mentioned server responds to a user-initiated service request for the above-mentioned target service, and performs service verification for the above-mentioned service request; wherein, the above-mentioned service verification includes the identity verification of the above-mentioned user and the verification of the above-mentioned service request. Authenticity verification.

For example, in implementation, the above-mentioned server responds to a service request for the above-mentioned target service initiated by the user through the above-mentioned client, and performs a service verification for the service request; wherein, the service verification includes a service check based on KYC (Know Your Customer, KYC). ) The rules verify the identity of the above-mentioned users and verify the authenticity of the information in the service request based on the authenticity verification method; among them, the identity verification method and authenticity verification method related to the KYC rule are described in this specification There is no specific limitation.

In this specification, further, if the service verification for the above-mentioned user passes, the above-mentioned server executes the target service corresponding to the above-mentioned service request, and sends the service execution result of the above-mentioned target service processing to the user; wherein, the above-mentioned service execution result Including business data related to the target business.

Then the above example continues with the example. If the identity verification of the user is passed based on the KYC rules and the authenticity verification of the service request is passed, the server executes the target service corresponding to the service request and sends the service to the user. The business execution result of the target business processing; where the business execution result includes business data related to the target business.

In this specification, after completing the above-mentioned target business, the user initiates a data disclosure request to the above-mentioned server through the above-mentioned client; the above-mentioned data disclosure request includes the user's selection of personal data to be disclosed from the business data related to the above-mentioned target business.

The above-mentioned personal data may include any type of personal data that the user chooses to disclose from the business data related to the above-mentioned target business.

For example, the aforementioned personal data may specifically include personal information related to the aforementioned target business, such as nationality, age, gender, identity document information, contact information, remittance information, school attending, etc. Users can choose to disclose some or all of the above personal data to the public.

In this manual, after receiving the above-mentioned data disclosure request initiated by the user after completing the above-mentioned target business, the above-mentioned server will publish the obtained personal data of the above-mentioned user to the blockchain connected to the above-mentioned server for storage; Among them, the type of the above-mentioned blockchain is not specifically limited in this specification.

In an embodiment shown, in the process of publishing the acquired personal data of the user to the blockchain for storage, the server performs homomorphic encryption on the acquired personal data of the user, and The personal data of the above-mentioned user after homomorphic encryption is published to the above-mentioned blockchain for storage.

For example, in practical applications, the above-mentioned server performs homomorphic encryption on the personal data obtained by the user who chooses to disclose, and publishes the homomorphically encrypted personal data of the user to the above-mentioned blockchain for storage, so as to ensure that the user Personal privacy.

Of course, in actual applications, in addition to publishing the obtained personal data of the user to the block in the blockchain connected to the server, the server can also store the personal data of the user. , The storage is based on the smart contract deployed in the blockchain connected to the server.

In order to facilitate understanding, here is a brief introduction to smart contracts. Whether it is a public chain, a private chain or a consortium chain, it is possible to provide the function of a smart contract. Smart contracts on the blockchain are contracts that can be triggered and executed by transactions on the blockchain. Smart contracts can be defined in the form of codes.

Taking Ethereum as an example, it supports users to create and call some complex logic in the Ethereum network. Ethereum is a programmable blockchain, and its core is the Ethereum Virtual Machine (EVM), and each Ethereum node can run the EVM. EVM is a Turing complete virtual machine, through which various complex logic can be realized. Users who publish and call smart contracts in Ethereum run on the EVM. In fact, EVM directly runs virtual machine code (virtual machine bytecode, hereinafter referred to as "bytecode"), so the smart contract deployed on the blockchain can be bytecode. After the user can send a transaction containing the information to create a smart contract to the Ethereum network, each node can execute the transaction in the EVM; among them, the From field of the transaction is used to record the account that initiated the creation of the smart contract The contract code saved in the field value of the Data field of the transaction can be bytecode, and the field value of the To field of the transaction is a null (empty) account. After the nodes reach an agreement through the consensus mechanism, the smart contract is successfully created, and subsequent users can call the smart contract.

After the smart contract is created, a contract account corresponding to the smart contract appears on the blockchain and has a specific address; the contract code (Code) and account storage (Storage) will be stored in the account storage of the contract account. The behavior of the smart contract is controlled by the contract code, and the account storage of the smart contract saves the state of the contract. In other words, smart contracts enable virtual accounts containing contract codes and account storage to be generated on the blockchain.

As mentioned above, the Data field containing the transaction that created the smart contract can store the bytecode of the smart contract. The bytecode consists of a series of bytes, and each byte can identify an operation. Based on many considerations such as development efficiency and readability, developers can choose a high-level language to write smart contract code instead of directly writing bytecode. For example, high-level languages such as Solidity, Serpent, and LLL languages can be used. For smart contract code written in a high-level language, it can be compiled by a compiler to generate bytecode that can be deployed on the blockchain.

Taking the Solidity language as an example, the contract code written with it is very similar to the class in the object-oriented programming language. A variety of members can be declared in a contract, including state variables, functions, function modifiers, and events. The state variable is a value permanently stored in the storage (Storage) field of the smart contract, and is used to save the state of the contract.

In the illustrated embodiment, in the process of storing the personal data of the user based on the smart contract deployed in the blockchain, the server may store the personal data in the form of key-value pairs To the storage tree of the smart contract; among them, the key may specifically be the hash value calculated by a hash algorithm corresponding to the preset variable name of the personal data, and the value may specifically be the hash value calculated by the hash algorithm of the personal data.

In this specification, the above-mentioned user can operate based on the above-mentioned client. For example, in actual applications, users can make friends, post, ask questions, and disclose information through the social section provided by the server through the client.

In this manual, after the personal data of the above-mentioned user is saved on the blockchain, the user can initiate the operation of disclosing the personal data of the above-mentioned user based on the above-mentioned client.

In this specification, the above-mentioned same user characteristics refer to any information with the same content in the above-mentioned personal data that multiple users choose to disclose during the execution of the above-mentioned target business.

In this specification, the above server receives and responds to the above user’s initiation of the operation of publicizing the above user’s personal data, and combines the above user’s personal data stored in the blockchain with the other users’ personal data stored in the blockchain. The above-mentioned target business selects the disclosed personal data for matching to determine whether the above-mentioned user’s personal data and other users’ personal data contain the same user characteristics.

For example, in practical applications, the above-mentioned server matches the personal data A1 of user A stored in the blockchain with the personal data B1 that user B chooses to disclose when completing the above-mentioned target business stored in the blockchain to determine A1 Does B1 contain the same user characteristics

Of course, in practical applications, in addition to determining whether the personal data of the above-mentioned user and the personal data of the above-mentioned other users contain the same user characteristics, the above-mentioned server can also determine whether the personal data of the above-mentioned user and the personal data of the above-mentioned other users contain similar user characteristics. User characteristics, such as: similar age or similar region.

It should be noted that the calculation process for matching and determining the same user characteristics can be executed on the blockchain or under the blockchain; when executed on the blockchain, the server can also be pre-created with The smart contract corresponding to the target business executes the same user feature matching logic declared by the smart contract to complete the matching determination of the same user feature for the target business.

In this specification, when the personal data of the above-mentioned user and the personal data of any other user contain the same user characteristics, the above-mentioned server recommends any of the above-mentioned other users to the above-mentioned user.

For example, the above server stores the personal data A1 of user A stored in the blockchain. The personal data B1 that user B chooses to disclose when completing the above target business is stored in the blockchain and contains the same user characteristics. B is recommended to user A.

In this specification, after obtaining the user recommended by the server, the user can establish a social relationship and social communication with the recommended user through the client.

The above example continues with the example. After obtaining the user B recommended by the server, user A can initiate the establishment of a social relationship with user B through the client. After the social relationship between user A and user B is established, user A and user B can proceed Social communication such as chat and interaction.

In order to facilitate the overall understanding, the following takes the above-mentioned target business as the overseas study remittance service provided by Alipay as an example, and a brief description of the technical solutions in this specification through specific embodiments.

Remittance for studying abroad means that when a user is studying in a foreign school, the user is usually required to remit the expenses required for studying abroad to the remittance receiving account designated by the foreign school. Users can make remittances for studying abroad through the study abroad remittance service provided by Alipay.

When a user uses the Alipay APP to send remittances to the remittance recipient (for example, the remittance receiving account designated by the school where the user studies abroad), the Alipay server first receives the user’s remittance request for the overseas study remittance business initiated by the user through the Alipay APP. The remittance request performs the KYC verification of the user’s identity, and verifies whether the remittance recipient and the remittance amount in the remittance request are true and legal; after the verification is passed, the Alipay server executes the study abroad remittance service and sends the user the execution result of the study abroad remittance service ; Among them, the execution result can be the success of the remittance or the failure of the remittance.

Furthermore, after the overseas study remittance business is successfully executed, the user can send the Alipay APP to the Alipay server to disclose the personal data filled in the study abroad remittance business; the Alipay server publishes the obtained personal data of the user to the Alipay server. Blockchain for storage.

At the same time, users can also use the Alipay APP to post, ask questions, and disclose information on Alipay’s social section (such as the study abroad circle). In response to user-initiated operations, the Alipay server stores the user’s individual on the blockchain in the background. The data is matched with the personal data that other users choose to disclose. When the matching determines that there are the same user characteristics (for example, the same remittance recipient in the overseas study remittance business of multiple users), the Alipay server recommends the other user to this user user.

Further, the user can initiate an application for establishing a social relationship (such as a friend relationship) to the other user. After the application is approved, the user and the other user can further conduct social communications such as friend chat, leave a message, and interact; at the same time, the The social relationship and social communication process established between the user and the other user can also be submitted to the blockchain by the Alipay server for further storage.

When it is necessary to explain, the Alipay server only recommends users to users who have successfully executed the remittance business for studying abroad, which greatly improves the accuracy of personal privacy protection and user recommendations.

It can be seen from the above example of the remittance service for studying abroad that, on the one hand, KYC certification and authenticity verification are carried out for the remittance of studying abroad, which provides credible protection for users’ social interaction; on the other hand, users can independently choose specific details in the public personal data. It also recommends relevant users based on public personal data to establish a social circle of remittances for studying abroad; on the other hand, save the public personal data of users in a blockchain with traceability and immutability to socialize users Provide reliable data protection, and separate the business data related to the remittance of studying abroad from the social logic, avoiding the strong dependence on remittance and social interaction.

Of course, in practical applications, the above-mentioned target business can also be the stock trading business provided by Alipay. The Alipay server can make user recommendations based on the personal data that the user chooses to disclose and have the same user characteristics (such as buying the same stock). The remittance services for studying abroad described above are similar, so I won’t repeat them here.

Corresponding to the above method embodiment, this specification also provides an embodiment of a user recommendation device based on blockchain.

The embodiment of the block chain-based user recommendation device in this specification can be applied to electronic equipment. The device embodiments can be implemented by software, or can be implemented by hardware or a combination of software and hardware. Taking software implementation as an example, as a logical device, it is formed by reading the corresponding computer program instructions in the non-volatile memory into the memory through the processor of the electronic device where it is located.

From the perspective of hardware, as shown in Figure 2, it is a hardware structure diagram of the electronic device where the user recommendation device based on the blockchain of this specification is located, except for the processor, memory, network interface, and In addition to the volatile memory, the electronic device in which the device is located in the embodiment generally may include other hardware according to the actual function of the electronic device, which will not be repeated here.

Fig. 3 is a block diagram showing a block chain-based user recommendation device according to an exemplary embodiment of the present specification.

Please refer to FIG. 3, the block chain-based user recommendation device 30 can be applied to the electronic device shown in FIG. 2, and the device 30 includes:

The receiving module 301 receives a data disclosure request initiated by a user after completing a target business; wherein the data disclosure request includes personal data that is selected to be disclosed from business data related to the target business;

The publishing module 302 publishes the acquired personal data of the user to the blockchain for storage;

The recommendation module 303, in response to the operation initiated by the user, compares the personal data of the user stored in the blockchain with the personal data stored in the blockchain that other users choose to disclose when completing the target business. The data is matched to determine whether the personal data of the user and the personal data of the other users contain the same user characteristics.

The recommendation module 303 is further configured to recommend any other user to the user when the personal data of the user and the personal data of any other user contain the same user characteristics.

In this embodiment, the receiving module 301 further: in response to a service request for the target service initiated by the user, perform service verification for the service request, and the service verification includes verifying the user's identity. Verify and verify the authenticity of the service request; if the service verification for the user passes, execute the target service corresponding to the service request, and send the service execution result of the target service processing to the user, so The business execution result includes business data related to the target business.

In this embodiment, the target business includes a study abroad remittance service, and the same user characteristics include the same remittance recipient in the study abroad remittance service. The recommendation module 303 further: match the personal data of the user stored in the block chain with the personal data stored in the block chain that other users choose to disclose when completing the remittance service for studying abroad. It is determined whether the personal data of the user and the personal data of the other users include the same remittance recipient.

In this embodiment, the recommendation module 303 further: recommends any other user to the user when the personal data of the user and the personal data of any other user include the same remittance recipient.

In this embodiment, the publishing module 302 further: performs homomorphic encryption on the acquired personal data of the user, and publishes the homomorphic encrypted personal data of the user to the blockchain for storage.

The systems, devices, modules, or units illustrated in the above embodiments may be specifically implemented by computer chips or entities, or implemented by products with certain functions. A typical implementation device is a computer. The specific form of the computer can be a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email receiving and sending device, and a game control A console, a tablet computer, a wearable device, or a combination of any of these devices.

In a typical configuration, the computer includes one or more processors (CPU), input/output interfaces, network interfaces, and memory. The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and/or non-volatile memory, such as read-only memory (ROM) or flash memory (flash RAM). Memory is an example of computer readable media.

Computer-readable media include permanent and non-permanent, removable and non-removable media, and information storage can be realized by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital versatile disc (DVD) or other optical storage, Magnetic cassettes, disk storage, quantum memory, graphene-based storage media or other magnetic storage devices, or any other non-transmission media, can be used to store information that can be accessed by computing devices. According to the definition in this article, computer-readable media does not include transitory media, such as modulated data signals and carrier waves.

Corresponding to the foregoing method embodiment, this specification also provides an embodiment of an electronic device. The electronic device includes a processor and a memory for storing machine-executable instructions; wherein the processor and the memory are usually connected to each other through an internal bus. In other possible implementation manners, the device may also include an external interface to be able to communicate with other devices or components.

In this embodiment, by reading and executing the machine executable instructions corresponding to the control logic recommended by the blockchain-based user stored in the memory, the processor is prompted to: The data disclosure request includes selecting personal data to be disclosed from the business data related to the target business; publishing the acquired personal data of the user to the blockchain for storage; responding to The operation initiated by the user matches the personal data of the user stored in the blockchain with the personal data stored in the blockchain that other users choose to disclose when completing the target business to determine Whether the personal data of the user and the personal data of the other users contain the same user characteristics; when the personal data of the user and the personal data of any other user contain the same user characteristics, the personal data of any other user Recommend to the user.

In this embodiment, by reading and executing the machine executable instructions corresponding to the control logic recommended by the blockchain-based user stored in the memory, the processor is prompted: The service request of the service, the service verification is performed for the service request, and the service verification includes the identity verification of the user and the authenticity verification for the service request; if the service verification is for the user By executing the target service corresponding to the service request, and sending the service execution result of the target service processing to the user, the service execution result includes the service data related to the target service.

In this embodiment, the target business includes a study abroad remittance service, and the same user characteristics include the same remittance recipient in the study abroad remittance service; by reading and executing the data stored in the memory and based on the block The machine executable instructions corresponding to the control logic recommended by the user of the chain, the processor is prompted: When the study abroad remittance business is described, the public personal data is selected for matching to determine whether the personal data of the user and the personal data of the other users contain the same remittance recipient.

In this embodiment, by reading and executing the machine executable instructions corresponding to the control logic recommended by the blockchain-based user stored in the memory, the processor is prompted to: When the personal data of another user includes the same remittance recipient, recommend any other user to the user.

In this embodiment, by reading and executing the machine executable instructions corresponding to the control logic recommended by the blockchain-based user stored in the memory, the processor is prompted to: The data performs homomorphic encryption, and the user's personal data after homomorphic encryption is released to the blockchain for storage.

It should also be noted that the terms "include", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or equipment including a series of elements includes not only those elements, but also Other elements that are not explicitly listed, or also include elements inherent to such processes, methods, commodities, or equipment. If there are no more restrictions, the element defined by the sentence "including a..." does not exclude the existence of other identical elements in the process, method, commodity, or equipment that includes the element.

The foregoing describes specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in a different order than in the embodiments and still achieve desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or sequential order shown in order to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a", "said" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and/or" as used herein refers to and includes any or all possible combinations of one or more associated listed items.

It should be understood that although the terms first, second, third, etc. may be used to describe various information in one or more embodiments of this specification, the information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first information may also be referred to as second information, and similarly, the second information may also be referred to as first information. Depending on the context, the word "if" as used herein can be interpreted as "when" or "when" or "in response to determination".

The above descriptions are only preferred embodiments of one or more embodiments of this specification, and are not intended to limit one or more embodiments of this specification. All within the spirit and principle of one or more embodiments of this specification, Any modification, equivalent replacement, improvement, etc. made should be included in the protection scope of one or more embodiments of this specification.

Claims

A user recommendation method based on blockchain, including:

Receiving a data disclosure request initiated by a user after completing a target business, where the data disclosure request includes personal data selected for disclosure from business data related to the target business;

Publish the acquired personal data of the user to the blockchain for storage;

In response to the operation initiated by the user, the personal data of the user stored in the blockchain is matched with the personal data stored in the blockchain that other users choose to disclose when completing the target business, To determine whether the personal data of the user and the personal data of the other users contain the same user characteristics;

When the personal data of the user and the personal data of any other user contain the same user characteristics, the any other user is recommended to the user.
The method according to claim 1, further comprising:

In response to a service request for the target service initiated by a user, a service verification is performed on the service request; wherein the service verification includes verification of the user's identity and verification of the authenticity of the service request. Test

If the service verification for the user passes, execute the target service corresponding to the service request, and send the service execution result of the target service processing to the user, and the service execution result includes the service related to the target service data.
The method according to claim 1,

The target business includes overseas study remittance business,

The same user characteristics include the same remittance receiver in the study abroad remittance business;

The personal data of the user stored in the blockchain is matched with the personal data stored in the blockchain that other users choose to disclose when completing the target business, so as to determine the user's personal data Whether the data and the personal data of other users contain the same user characteristics, including:

Match the user's personal data stored in the blockchain with the personal data that other users choose to disclose when completing the study abroad remittance business, which is stored in the blockchain, to determine the user's personal data Whether the personal data of other users includes the same remittance recipient.
The method according to claim 3, wherein when the personal data of the user and the personal data of any other user contain the same user characteristics, recommending any other user to the user includes:

When the personal data of the user and the personal data of any other user include the same remittance recipient, the any other user is recommended to the user.
The method according to claim 1, wherein the publishing the acquired personal data of the user to the blockchain for storage includes:

Perform homomorphic encryption on the acquired personal data of the user, and publish the homomorphic encrypted personal data of the user to the blockchain for storage.
A user recommendation device based on blockchain, including:

A receiving module, which receives a data disclosure request initiated by a user after completing a target business, the data disclosure request includes selecting personal data to be disclosed from business data related to the target business;

A publishing module, which publishes the acquired personal data of the user to the blockchain for storage;

The recommendation module, in response to the operation initiated by the user, combines the personal data of the user stored in the blockchain with the personal data stored in the blockchain that other users choose to disclose when completing the target business Matching to determine whether the personal data of the user and the personal data of the other users contain the same user characteristics;

The recommendation module is further configured to recommend any other user to the user when the personal data of the user and the personal data of any other user contain the same user characteristics.
According to the device of claim 6, the receiving module further:

In response to a service request for the target service initiated by a user, a service verification is performed on the service request; wherein the service verification includes verification of the user's identity and verification of the authenticity of the service request. Test

If the service verification for the user passes, execute the target service corresponding to the service request, and send the service execution result of the target service processing to the user, and the service execution result includes the service related to the target service data.
The device according to claim 6,

The target business includes overseas study remittance business,

The same user characteristics include the same remittance receiver in the study abroad remittance business;

The recommendation module further:

Match the user's personal data stored in the blockchain with the personal data that other users choose to disclose when completing the study abroad remittance business, which is stored in the blockchain, to determine the user's personal data Whether the personal data of other users includes the same remittance recipient.
According to the device of claim 8, the recommendation module further:

When the personal data of the user and the personal data of any other user include the same remittance recipient, the any other user is recommended to the user.
The device according to claim 6, wherein the publishing module further:

Perform homomorphic encryption on the acquired personal data of the user, and publish the homomorphic encrypted personal data of the user to the blockchain for storage.
An electronic device including:

processor;

A memory for storing processor executable instructions;

Wherein, the processor executes the executable instruction to implement the method according to any one of claims 1-5.