CN111242678A

CN111242678A - Data processing method, data processing device, computer equipment and storage medium

Info

Publication number: CN111242678A
Application number: CN202010014419.8A
Authority: CN
Inventors: 王凡
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2020-01-07
Filing date: 2020-01-07
Publication date: 2020-06-05

Abstract

The embodiment of the application discloses a data processing method, a data processing device, computer equipment and a storage medium, wherein the data processing method comprises the following steps: responding to a propaganda data pushing request of a target user, and acquiring a service block chain by a first node; the service block chain comprises a target service block, and the target service block is used for storing a target historical interaction record between a target user and target historical propaganda data; the first node extracts a target service block from the service block chain and acquires a target historical interaction record from the target service block; the first node acquires recommended propaganda data of a target user according to the target historical interaction record; and the first node sends the recommended propaganda data to a target second node where the target user is located. By the aid of the method and the device, accuracy of pushing the propaganda data to the user can be improved, and propaganda effect of the propaganda data is improved.

Description

Data processing method, data processing device, computer equipment and storage medium

Technical Field

The present application relates to the field of computer technologies, and in particular, to a data processing method and apparatus, a computer device, and a storage medium.

Background

With the progress of science and technology and the development of the internet, the number of netizens is greatly increased, and people are more and more willing to acquire a large amount of information through the internet. The large-scale crowd outbreak leads each enterprise to display the own image of the enterprise through network advertisements, and the excellent advertisement pushing system can provide good advertisement effect and wide spread range.

Currently, in order to improve the advertising effect, an advertisement push system will avoid pushing an advertisement with repeated content to a user in a short time. Therefore, after the client acquires the exposure information of the advertisement, the exposure information is immediately reported to the advertisement push system, so that the advertisement push system avoids releasing the advertisement which is released in a short time in the next advertisement releasing decision.

Therefore, in the existing scheme, the client reports the exposure information of the advertisement to the advertisement push system through the network, but in the existing network environment, a certain proportion of reported data is inevitably lost, so that a decision error of the advertisement push system is caused, and further, the advertisement data cannot be accurately pushed to the user, and the advertisement effect is reduced.

Disclosure of Invention

The embodiment of the application provides a data processing method, a data processing device, a computer device and a storage medium, which can improve the accuracy of pushing propaganda data to a user and improve the propaganda effect of the propaganda data.

An embodiment of the present application provides a data processing method, including:

responding to a propaganda data pushing request of a target user, and acquiring a service block chain by a first node; the service block chain comprises a target service block, and the target service block is used for storing a target historical interaction record between a target user and target historical propaganda data;

the first node extracts a target service block from the service block chain and acquires a target historical interaction record from the target service block;

the first node acquires recommended propaganda data of a target user according to the target historical interaction record;

and the first node sends the recommended propaganda data to a target second node where the target user is located.

responding to the refreshing operation of the target user on the user interface, and generating a propaganda data pushing request of the target user by the target second node;

the target second node sends the propaganda data pushing request to the first node, instructs the first node to acquire a service block chain according to the propaganda data pushing request, acquires a target historical interaction record between a target user and target historical propaganda data from the service block chain, and acquires recommended propaganda data of the target user according to the target historical interaction record;

and the target second node receives the recommended propaganda data sent by the first node and displays the recommended propaganda data on a user interface.

An embodiment of the present application provides a data processing apparatus, including:

the first acquisition module is used for responding to a propaganda data pushing request of a target user and acquiring a service block chain; the service block chain comprises a target service block, and the target service block is used for storing a target historical interaction record between a target user and target historical propaganda data;

the extraction module is used for extracting a target service block from the service block chain and acquiring a target historical interaction record from the target service block;

the second acquisition module is used for acquiring recommended propaganda data of the target user according to the target historical interaction record;

and the first sending module is used for sending the recommended propaganda data to a target second node where the target user is located.

The service block chain comprises at least one service block; at least one service block is generated by at least one second node according to the historical interaction record between the user and the historical propaganda data and is added to a service block chain; the at least one service block comprises a target service block; the at least one second node comprises a target second node.

Wherein the target historical interaction record comprises an interaction timestamp; recommending the propaganda data as recommending advertisement data;

a second acquisition module comprising:

the first acquisition unit is used for acquiring a selection timestamp, taking a target historical interaction record with an interaction timestamp larger than the selection timestamp as a target historical interaction record to be processed, and acquiring at least one piece of advertisement data to be recommended;

the selection unit is used for selecting advertisement data to be recommended from at least one advertisement data to be recommended according to the historical interaction record of the target to be processed, wherein the advertisement data to be recommended has no interaction relation with the target user;

and the determining unit is used for taking the selected advertisement data to be recommended as the recommended advertisement data.

The target historical interaction record to be processed comprises an advertisement data identifier;

a selection unit comprising:

the first extraction subunit is used for extracting advertisement data to be recommended which do not carry the advertisement data identification from at least one advertisement data to be recommended;

and the first determining subunit is used for determining the extracted advertisement data to be recommended as the advertisement data to be recommended which has no interactive relationship with the target user.

The target historical interaction record to be processed comprises the type of the advertisement data field;

a selection unit comprising:

the second extraction subunit is used for extracting advertisement data to be recommended from at least one advertisement data to be recommended, wherein the advertisement data to be recommended does not belong to the type of the advertisement data field;

and the second determining subunit is used for determining the extracted advertisement data to be recommended as the advertisement data to be recommended which has no interactive relationship with the target user.

Wherein, still include:

the first acquisition module is also used for receiving a propaganda data analysis request sent by a third node;

the third acquisition module is used for acquiring the node authority of a third node;

and the adjusting module is used for sending the historical interaction record analysis table of the service block chain to the third node if the node authority of the third node is the member node authority.

The third acquisition module is specifically used for acquiring a transaction record set, and if a target transaction record exists in the transaction record set, the node authority of the third node is adjusted to be the member node authority; the target transaction record is used for recording transaction information of the first node transferring the resource data from the node account corresponding to the third node to the node account corresponding to the first node.

Wherein, the first sending module includes:

the second acquisition unit is used for acquiring the user right of the target user;

and the adjusting unit is used for sending the recommended propaganda data with the adjusted display duration to the target second node when the user right of the target user is the member user right and the display of the recommended propaganda data is adjusted.

The second obtaining unit is specifically configured to count the number of blocks of the target service block, and if the number of blocks is greater than a number threshold, adjust the user right of the target user to the member user right.

the first generation module is used for responding to the refreshing operation of the target user on the user interface and generating the propaganda data pushing request of the target user;

the second sending module is used for sending the propaganda data pushing request to the first node, indicating the first node to acquire a service block chain according to the propaganda data pushing request, acquiring a target historical interaction record between a target user and target historical propaganda data from the service block chain, and acquiring recommended propaganda data of the target user according to the target historical interaction record;

and the display module is used for receiving the recommended propaganda data sent by the first node and displaying the recommended propaganda data on a user interface.

Wherein the target historical propaganda data is target historical advertisement data;

the device still includes:

and the second generation module is used for acquiring the user information of the target user, acquiring target historical advertisement data with an interactive relation with the target user, combining the user information and the advertisement data attribute of the target historical advertisement data into a target historical interaction record between the target user and the target historical advertisement data, generating a target service block according to the target historical interaction record, and adding the target service block to the service block chain.

An aspect of the embodiments of the present application provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the computer program is executed by the processor, the processor is caused to execute the method in the foregoing embodiments.

An aspect of the embodiments of the present application provides a computer storage medium, in which a computer program is stored, where the computer program includes program instructions, and when the program instructions are executed by a processor, the method in the foregoing embodiments is performed.

This application comes the interactive record of record user and historical propaganda data by the block on the block chain, rely on the safety of block chain, complete characteristic, first node can be complete and in time acquire the interactive record between user and the historical propaganda data, avoid leading to first node can not acquire the interactive record because of the network reason, and then replay the condition of putting propaganda data to the user, consequently adopt this application can improve the accuracy nature and the richened propaganda data's of propelling movement to user's propelling movement propaganda data variety, and then improve the propaganda effect of propaganda data.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic diagram of a service block link provided in an embodiment of the present application;

2 a-2 c are schematic diagrams of a data processing scenario provided by an embodiment of the present application;

FIG. 3 is an interaction diagram of a data processing system provided by an embodiment of the present application;

fig. 4 is a schematic flowchart of a data processing method according to an embodiment of the present application;

fig. 5 is a schematic flowchart of a data processing method according to an embodiment of the present application;

fig. 6 is a schematic diagram of a service block according to an embodiment of the present application;

FIG. 7 is an interaction diagram of advertisement data delivery provided by an embodiment of the present application;

fig. 8 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;

fig. 9 is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application;

FIG. 10 is a schematic structural diagram of a computer device according to an embodiment of the present disclosure;

fig. 11 is a schematic structural diagram of a computer device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The Block chain (Block chain) is a novel application mode of computer technologies such as distributed data storage, point-To-point transmission (P2P, Peer To Peer), a consensus mechanism, an encryption algorithm and the like. The blockchain is essentially a decentralized database, which is a string of data blocks associated using cryptography, each data block containing one or more transaction messages for verifying the validity (anti-counterfeiting) of the message and generating the next block.

Please refer to fig. 1, which is a schematic diagram of a service blockchain provided in the embodiment of the present application, where a node 1, a node 2, a node 3, and a node 4 may be combined into a blockchain system, each node may store and maintain the service blockchain, the 4 nodes may also be referred to as blockchain link points of the service blockchain, and each node may include a hardware layer, an intermediate layer, an operating system layer, and an application layer. It will be appreciated that a node may comprise a computer device.

The service block chain comprises at least one service block, the service block in the application records interaction records between a user and historical propaganda data, the node can acquire the interaction records through the service block chain depending on the safety and integrity characteristics of the block chain, the interaction records can be used for assisting the node to make a next propaganda data releasing decision, the same propaganda data can be prevented from being repeatedly released in a short time, the propaganda effect of the propaganda data is improved, the diversity of the released propaganda data is enriched, and the anti-sensitivity of the user to the propaganda data is reduced.

The node and the like shown in fig. 1 may be a computer device such as a mobile phone, a tablet computer, a notebook computer, a palm computer, a Mobile Internet Device (MID), a wearable device (e.g., a smart watch, a smart bracelet and the like), or a server.

In the following embodiments, on the premise that the advertisement data is advertisement data, how the node 2 records the interaction between the user and the historical advertisement data to generate a service block and uplink the service block, and how the node 1 determines the delivery decision of the advertisement data based on the service block chain is specifically described as an example:

please refer to fig. 2 a-2 c, which are schematic diagrams illustrating a data processing scenario according to an embodiment of the present application. As shown in fig. 2a, the nodes for maintaining the service block chain include node 1, node 2, node 3, and node 4, where node 1 may be a node where an advertisement delivery platform is located, and node 2, node 3, and node 4 may be nodes where different users are located.

Assuming that the node 2 is the node where the user A is located, the user A can browse news information through the node 2. As shown in FIG. 2a, news information 1, news information 2, car advertisement 1, and news information 3 are currently displayed on the news information interface of the node 2. It can be seen that, for the user a, the car advertisement 1 has been exposed (the exposed car advertisement 1 belongs to historical advertisement data), so the node 2 can obtain the exposure timestamp of the car advertisement 1, the user identification of the user a, the advertisement data identification of the car advertisement 1, and the advertisement type to which the car advertisement 1 belongs.

The advertisement types may include: commodity type, cosmetic type, clothing type, electronic product type, automobile type, food type, and the like.

The car advertisement 1 will carry the corresponding advertisement data identification and advertisement type.

The node 2 may combine the exposure timestamp, the user identification, the advertisement data identification, and the advertisement type described above as an interaction record 20a between user a and the car advertisement 1.

The node 2 may generate the service block 20b based on the interaction record 20a, and the specific process is as follows: the node 2 stores the interaction record 20a to the block and computes the merkel root of the interaction record 20 a. The node 2 obtains the hash value of the last service block in the current service block chain, obtains the current timestamp, and stores the current timestamp, the merkel root of the interaction record 20a, and the hash value of the last service block in the current service block chain together to the block header.

The block body and the block header in which the data is stored by the node 2 may be combined into a service block 20 b.

As shown in fig. 2b, node 2 may add a newly generated traffic block 20b to the traffic block chain maintained by node 2 and broadcast the traffic block 20b to other nodes (i.e., node 1, node 3, and node 4) in the block chain system.

After receiving the service block 20b, the node 1, the node 3, and the node 4 may add the service block 20b to the service block chains respectively maintained, so that the service block chains respectively maintained by the 4 nodes are synchronized. As shown in fig. 2 a-2 b, before the service block 20b is not added to the service block chain, the service block chain includes 3 service blocks, and after the service block 20b is added, the service block chain includes 4 service blocks.

Thus, the uplink process of the service block chain is completed.

When the node 1 acquires the advertisement push request of the user a, the node 1 acquires the service block related to the user a, i.e. acquires the service block 20b, from the service block chain (it is assumed that the rest of the service blocks on the service block chain are all independent from the user a).

The node 1 may obtain the advertisement push request of the user a, where the advertisement push request is sent by the node 2 where the user a is located, or the node 1 may automatically generate the advertisement push request of the user a (for example, the 18:00 node 1 automatically generates the advertisement push request of the user a every day to determine the advertisement data to be pushed to the user a in advance, so as to reduce the waiting time of the user a)

The node 1 may read the interaction record 20a from the block in the service block 20b, and as can be seen from the interaction record 20a, the user a has recently viewed the car advertisement 1.

The node 1 may select advertisement data to be pushed to the user a from an advertisement pool according to the interaction record 20b, and as can be seen from fig. 2b, the current advertisement pool includes a daily article advertisement 1, a cosmetic article advertisement 1, an automobile advertisement 1, and an automobile advertisement 2.

From the interaction log 20b, since user a has viewed the car advertisement 1, the car advertisement 1 may be excluded; although the user a does not view the car advertisement 2, the type of the exposed car advertisement 1 is the same as the type of the car advertisement 2, and both belong to the car type, so the car advertisement 2 can be excluded.

The node 1 may select advertisement data to be pushed to the user a from the daily article advertisement 1 and the cosmetic article advertisement 1, assuming that the node 1 selects the daily article advertisement 1 as the advertisement data to be pushed to the user a.

The node 1 may issue the daily necessities advertisement 1 to the node 2, and store the daily necessities advertisement 1 in the cache of the node 2.

As shown in fig. 2c, the user a performs a refresh operation on the news information interface (e.g., the finger in fig. 2c slides down on the news information page), the node 2 reads the daily product advertisement 1 from the cache in response to the refresh operation of the user a, and the daily product advertisement 1 is displayed on the news information interface.

As described above, since the user a has already viewed the automobile advertisement 1, the commodity advertisement 1 of the type completely different from that of the automobile advertisement 1 is delivered to the user a, so that the user a can be prevented from repeatedly viewing the same type of advertisement, the user's dislike degree of the advertisement data is reduced, and the advertising effect of the advertisement data is improved.

For a specific process of the first node (e.g., node 1 in the above-mentioned embodiment) extracting a target service block (e.g., service block 20b in the above-mentioned embodiment) from a service block chain and acquiring recommended advertisement data (e.g., daily product advertisement 1 in the above-mentioned embodiment), and the second node (e.g., node 2 in the above-mentioned embodiment) generating the target service block, reference may be made to the following embodiments corresponding to fig. 3 to 7.

Please refer to fig. 3, which is an interaction diagram of a data processing system according to an embodiment of the present application, where the data processing system includes a first node and a target second node. The following embodiments mainly describe the interaction process between the first node and the target second node.

The interactive process of data processing comprises the following steps:

and S101, responding to the refreshing operation of the target user on the user interface, generating a propaganda data pushing request of the target user by the target second node, and sending the propaganda data pushing request to the first node.

Specifically, the blockchain system includes a first node (e.g., node 1 in the corresponding embodiments of fig. 2 a-2 c) and at least one second node (e.g., node 2, node 3, and node 4 in the corresponding embodiments of fig. 2 a-2 c), where the first node is a promotion data provider, the second node is a promotion data display, and the second node is a node where a user is located.

When the advertisement data is advertisement data, the first node may be a server where the advertisement push platform is located, and the second node may be an advertisement receiving terminal.

The currently processed user is called a target user (e.g., user a in the embodiment corresponding to fig. 2 a-2 c), the node where the target user is located is called a target second node (e.g., node 2 in the embodiment), and the target second node is a node in at least one second node in the blockchain system.

The target user may perform a refresh operation on a user interface (e.g., the news information interface in the embodiment corresponding to fig. 2 a-2 c) in the target second node, and the target second node generates a promotion data push request (e.g., the advertisement push request in the embodiment corresponding to fig. 2 a-2 c) for the target user in response to the refresh operation.

The target second node may send a promotion data push request to the first node.

Step S102, responding to the propaganda data pushing request of the target user, the first node obtains the service block chain.

Specifically, after receiving the promotion data pushing request, the first node responds to the promotion data pushing request to acquire the service block chain.

The service block chain comprises at least one service block, each service block is generated by the second node according to the historical interaction records between the users and the historical propaganda data and is added to the block chain, and it can also be understood that the service blocks on the service block chain are used for storing the historical interaction records between the users and the historical propaganda data.

The historical propaganda data refers to propaganda data having an interactive relation with a user, the propaganda data having the interactive relation refers to the propaganda data subjected to an interactive action by the user, and the interactive action can be a browsing action, a clicking action, a converting action and the like.

The conversion behavior means that the user is converted from a general viewer to a registered user or a purchasing user or the like based on the promotion data.

The historical interaction records may include: interaction timestamp, user identification, propaganda data field type, propaganda position and other information.

At least one of the traffic blocks in the traffic block chain comprises a target traffic block (e.g., traffic block 20b in the corresponding embodiment of fig. 2 a-2 c described above), which is a historical interaction record (e.g., target historical interaction record, e.g., interaction record 20a in the corresponding embodiment of fig. 2 a-2 c described above) for storing historical promotional data (e.g., target historical promotional data, e.g., vehicle advertisement 1 in the corresponding embodiment of fig. 2 a-2 c described above) of a target user and a target user.

The target second node is a node in at least one second node, the number of the target service blocks may be one or more, and the number of the target historical interaction records may be one or more.

Step S103, the first node extracts a target service block from the service block chain and obtains a target historical interaction record according to the target service block.

Specifically, the first node extracts a target service block from the service block chain, and reads a target historical interaction record from a block body of the target service block.

And step S104, the first node acquires the recommended propaganda data of the target user according to the target historical interaction record.

Specifically, the first node acquires at least one piece of to-be-recommended advertisement data according to the user preference and the service requirement of the target user, selects the to-be-recommended advertisement data having no interaction relationship with the target user from the at least one piece of to-be-recommended advertisement data according to the target historical interaction record, and uses the selected to-be-recommended advertisement data as the recommended advertisement data (e.g., the daily product advertisement 1 in the embodiment corresponding to fig. 2a to 2 c).

The target historical propaganda data corresponding to the target user does not have the same propaganda data field type as the target historical propaganda data to be recommended.

In general, the selected recommended promotional data is not viewed/clicked/not translated by the target user, or similarly not viewed/clicked/not translated by the target user.

And step S105, the first node sends the recommended propaganda data to a target second node where the target user is located.

Specifically, the first node obtains user permissions of the target user, where the user permissions may include common user permissions and member user permissions.

If the user right of the target user is the member user right, the first node may adjust the display duration of the recommended propaganda data, specifically, shorten the display duration of the recommended propaganda data.

For example, the display duration of the recommended propaganda data is 5 seconds, and if the first node detects that the user right of the target user is the member user right, the first node may adjust the display duration of the recommended propaganda data to 3 seconds.

Of course, if the user authority of the target user is the normal user authority, the first node may not make any adjustment on the display duration of the advertisement data.

And the first node sends the recommended propaganda data with the adjusted display duration to a target second node where the target user is located.

The following describes how the first node adjusts the user authority of the target user in detail:

the first node counts the block number of a target service block associated with a target user in a service block chain, and if the counted block number is larger than a preset number threshold, the first node adjusts the user authority of the target user to be member user authority.

It is equivalent to give some incentive to uplink users, so as to encourage more users to create service blocks and uplink the historical interaction records between themselves and the historical promotional data. Therefore, the first node can obtain more historical interaction records, the first node can make a more accurate publicity data release decision based on a large number of historical interaction records, and virtuous circle can be formed between a user and a publicity data release platform.

And step S106, the target second node receives the recommended propaganda data sent by the first node and displays the recommended propaganda data on a user interface.

Specifically, the target second node receives the recommended propaganda data sent by the first node, and displays the recommended propaganda data on the user interface, and of course, if the display duration of the recommended propaganda data is adjusted, the recommended propaganda data is displayed according to the adjusted display duration.

This application comes the interactive record of record user and propaganda data by the block on the block chain, rely on the safety of block chain, complete characteristic, first node can be complete and in time acquire the interactive record between user and the historical propaganda data, avoid leading to first node can not acquire the interactive record because of the network reason, and then replay the condition of putting in the propaganda data to the user, consequently adopt this application can improve the accuracy nature and the richened propaganda data's of propelling movement to user's propelling movement propaganda data variety, and then improve the propaganda effect of propaganda data.

Please refer to fig. 4, which is a flowchart illustrating a data processing method according to an embodiment of the present application, where the embodiment mainly relates to how a first node generates recommended propaganda data of a target user, and the data processing method may include the following steps:

step S201, responding to a propaganda data pushing request of a target user, and acquiring a service block chain by a first node; the service block chain comprises a target service block, and the target service block is used for storing a target historical interaction record between a target user and target historical propaganda data.

Specifically, the blockchain system comprises a first node and at least one second node, wherein the first node is a propaganda data pushing party, the second node is a propaganda data displaying party, and the second node is a node where a user is located.

The currently processed user is called a target user, the second node where the target user is located is called a target second node, and the target second node is a node in at least one second node in the blockchain system.

The first node may receive a promotion data pushing request sent by a target second node where the target user is located, and the first node may also automatically generate a promotion data pushing request of the target user, for example, a promotion data pushing request of the target user is generated every morning to generate recommended promotion data for the target user in advance.

And the first node responds to the propaganda data pushing request and acquires the service block chain.

At least one service block on the service block chain comprises a target service block, and the target service block is used for storing a historical interaction record (called a target historical interaction record) between a target user and historical propaganda data (called target historical propaganda data) of the target user.

The number of the target historical propaganda data can be one or more, the number of the target historical interaction records can be one or more, and the number of the target historical propaganda data is the same as that of the target historical interaction records, namely, a target second node generates a target historical interaction record correspondingly when a target user interacts with one target historical propaganda data.

After the target historical interaction records can be accumulated to a certain number, a target business block is generated; alternatively, as long as one target historical interaction record is generated, the corresponding target business block can be generated in real time.

Step S202, the first node extracts a target service block from the service block chain and obtains a target historical interaction record from the target service block.

Specifically, the first node extracts the target service block from the service block chain, and reads the target historical interaction record from the block body of the target service block.

And step S203, the first node acquires recommended propaganda data of the target user according to the target historical interaction record.

Specifically, the advertisement data in the present application may be advertisement data, and the recommended advertisement data may be recommended advertisement data, and correspondingly, the historical advertisement data may be historical advertisement data.

The first node acquires preset freshness duration and a current timestamp, and determines a selection timestamp according to the current timestamp and the freshness duration.

For example, if the freshness duration is 10 hours and the current timestamp is 2019/12/28/19:00:00, the first node may determine that the selection timestamp is 2019/12/28/9:00: 00.

The freshness duration is a time dimension for subsequently evaluating whether the user has an un-interactive relationship with certain advertisement data to be recommended.

The first node acquires an interaction timestamp in each target historical interaction record, wherein the interaction timestamp is a timestamp of the interaction between the target user and the target historical advertisement data.

The first node may regard the target historical interaction records with the interaction timestamp greater than the selection timestamp as the target historical interaction records to be processed.

The first node obtains at least one advertisement data to be recommended (referred to as advertisement data to be recommended, such as daily product advertisement 1, cosmetic advertisement 1, automobile advertisement 1, and automobile advertisement 2 in the embodiments corresponding to fig. 2 a-2 c).

The at least one advertisement data to be recommended may be a part of advertisement data pre-screened by the recommendation system according to the user preference of the target user and the business requirement of the advertiser.

The first node selects advertisement data to be recommended which has no interactive relation with a target user from the advertisement data to be recommended, and the selected advertisement data to be recommended is used as recommended advertisement data for the target user.

There are two ways to determine advertisement data to be recommended that have no interactive relationship with a target user, and a first determination way is described below by taking an example of advertisement data to be recommended:

the historical interaction records of the targets to be processed comprise advertisement data identifications, the advertisement data identifications are used for identifying advertisement data, uniqueness and exclusivity are achieved, and each piece of advertisement data to be recommended carries the corresponding advertisement data identification.

The first node detects whether the advertisement data identification carried by the advertisement data to be recommended can hit the advertisement data identification contained in the target history record to be processed, if not, the advertisement data identification to be recommended does not carry the advertisement data identification contained in the target history record to be processed, and then the first node can determine the advertisement data to be recommended as the advertisement data to be recommended having no interactive relation with the target user.

In short, if the advertisement data to be recommended has no interaction with the target user within the freshness duration, the advertisement data to be recommended has no interaction with the target user.

For example, if the target history interaction record to be processed includes advertisement data identifier 1 and advertisement data identifier 2, and advertisement data identifier 1 is carried by advertisement data 1 to be recommended, advertisement data identifier 2 is carried by advertisement data 2 to be recommended, and advertisement data identifier 3 is carried by advertisement data 3 to be recommended.

Therefore, from the 3 pieces of advertisement data to be recommended, the first node may determine that the advertisement data to be recommended 3 does not carry the advertisement data identifier included in the target history to be processed, and thus, the advertisement data to be recommended 3 may be determined as the recommended advertisement data.

The following still takes an advertisement data to be recommended as an example to describe the second determination method:

the target historical interaction record to be processed comprises advertisement data field types, and the advertisement data field types are used for marking the fields to which the advertisement contents in the advertisement data belong. And each advertisement data to be recommended carries the corresponding advertisement data field type.

The advertisement data field types may be: food type, cosmetic type, electronic product type, coat and hat type or cleaning and washing type, etc.

The first node detects whether the advertisement data field type carried by the advertisement data to be recommended can hit the advertisement data field type contained in the target historical record to be processed, if not, the advertisement data to be recommended does not belong to the advertisement data field type contained in the target historical record to be processed, and then the first node can determine the advertisement data to be recommended as the advertisement data to be recommended which has no interactive relation with the target user.

In short, if there is no target historical advertisement data having the same advertisement data field type as the advertisement data to be recommended in the plurality of target historical advertisement data corresponding to the target user within the freshness duration, the advertisement data to be recommended has no interactive relationship with the target user, that is, the advertisement data to be recommended that is not similar to the target historical advertisement data will be used as the advertisement data to be recommended that has no interactive relationship with the target user.

For example, if the target historical interaction record to be processed includes a food type, a cosmetic type and an electronic product type, the advertisement data 1 to be recommended belongs to the food type, the advertisement data 2 to be recommended belongs to the food type, and the advertisement data 3 to be recommended belongs to the automobile type.

Therefore, from the above-mentioned 3 pieces of advertisement data to be recommended, the first node may determine that the advertisement data to be recommended 3 does not belong to the advertisement data field type contained in the target history to be processed, and therefore, the advertisement data to be recommended 3 may be determined as the recommended advertisement data.

The two determination modes are analyzed to know that the second determination mode is more rigorous in standard than the first determination mode, so that the first node can also determine the advertisement data to be recommended which has no interactive relation with the target user by overlapping the two determination modes, namely, the first mode is adopted for preliminary screening, and then the second mode is further adopted for accurately screening the recommended advertisement data.

And step S204, the first node sends the recommended propaganda data to a target second node where the target user is located.

Specifically, after determining the recommended advertisement data (or the recommended advertisement data), the first node may send the recommended advertisement data to the second node where the target user is located, so as to respond to the advertisement data pushing request for the target user.

Optionally, the first node may further provide a paid analysis service, and as can be known from the foregoing, the first node is a propaganda data pushing party, the second node is a propaganda data displaying party, and the second node is a node where the user is located. Thus, a promotional data producer (e.g., an advertiser) can pay for analysis services of a business blockchain to a first node to assist the promotional data producer in optimizing its promotional data field type of promotional data, and the node at which the promotional data producer is located can be referred to as a third node.

The third node may send a block chain joining request to the first node, where the first node authenticates the identity of the third node, and after the authentication is passed, the first node may set the third node as a block chain node of the service block chain, that is, the third node joins the block chain system.

Of course, once the third node joins the blockchain system, the rest of the blockchain nodes (the first node and the at least one second node) synchronize the service blockchain to the third node, so that the service blockchain maintained in all the blockchain nodes is consistent.

Based on the method, the propaganda data producer can know the interaction condition of the user on the propaganda data through the service block chain.

When the advertisement data is advertisement data, the first node may be a server where an advertisement delivery platform is located, the second node may be an advertisement playing terminal, and the advertisement data producer is a terminal where an advertiser is located.

The third node may send a publicity data analysis request to the first node, and the first node obtains node permissions of the third node, where the node permissions include member node permissions and common node permissions.

If the node permission of the third node is the member node permission, the first node may send a history interaction record analysis table of the service block chain to the third node, where the history interaction record analysis table is obtained by analyzing the history interaction records recorded in all the service blocks in the service block chain.

How to determine the node authority of the third node is explained as follows:

the first node acquires a transaction record set, wherein the transaction record set comprises a plurality of transaction records, and the first node detects whether a target transaction record exists in the transaction records, wherein the target transaction record is used for recording transaction information of the first node for transferring the resource data from the node account of the third node to the node account of the first node.

If the target transaction record exists in the plurality of transaction records, the first node may adjust the node authority of the third node to be the member node authority.

Please refer to fig. 5, which is a flowchart illustrating a data processing method according to an embodiment of the present application, where the embodiment mainly relates to how a target second node generates a target service block and shows recommended publicity data, and the data processing method includes the following steps:

step S301, responding to the refreshing operation of the target user to the user interface, and generating the propaganda data pushing request of the target user by the target second node.

When the propaganda data is advertisement data, the first node can be a server of an advertisement push platform, and the second node can be an advertisement receiving terminal.

The currently processed user is called a target user, the node where the target user is located is called a target second node, and the target second node is a node in at least one second node in the block chain system.

And the target user executes a refreshing operation on the user interface in the target second node, and the target second node responds to the refreshing operation to generate a propaganda data pushing request for the target.

Step S302, the target second node sends the propaganda data pushing request to the first node, instructs the first node to acquire a service block chain according to the propaganda data pushing request, acquires a target historical interaction record between the target user and the target historical propaganda data from the service block chain, and acquires the recommended propaganda data of the target user according to the target historical interaction record.

Specifically, the target second node may send a promotion data push request to the first node.

The first node responds to the propaganda data pushing request, obtains a service block chain, obtains a target service block of a target user from the service block chain, reads a target historical interaction record between the target user and target historical propaganda data from the target service block, and determines the recommended propaganda data of the target user according to the target historical interaction record.

The service block chain comprises at least one service block, each service block is generated by the second node according to the historical interaction records between the users and the historical propaganda data and is added to the block chain, and the service blocks on the service block chain can be understood as the historical interaction records between the users and the historical propaganda data.

In the service block chain, a service block of a target user can be called a target service block, historical promotion data of the target user can be called target historical promotion data, and a historical interaction record between the target user and the target historical promotion data can be called a target historical interaction record.

The specific process of the first node determining the target historical interaction record and acquiring the recommended propaganda data may refer to steps S201 to S204 in the corresponding embodiment of fig. 4.

Step S303, the target second node receives the recommended propaganda data sent by the first node, and displays the recommended propaganda data on a user interface.

Specifically, the target second node receives the recommended propaganda data sent by the first node, and displays the recommended propaganda data on a user interface.

Optionally, the target service block is generated by a target second node where the target user is located and added to the service block chain, and how the target second node generates the target service block is specifically described below:

the campaign data may be advertisement data, the historical campaign data may be historical advertisement data, and the targeted historical campaign data may be targeted historical advertisement data.

The target second node acquires user information of a target user and acquires advertisement data having an interactive relationship with the target user, and the advertisement data is used as target historical advertisement data.

The advertisement data having an interactive relationship with the target user means that the target user and the advertisement data have undergone an interactive behavior, and the interactive behavior may be a browsing behavior, a clicking behavior, a converting behavior, and the like.

The conversion behavior refers to a user's transition from a general viewer to a registered user or a purchasing user or the like based on advertisement data.

The target second node acquires the advertisement data attribute of the target historical advertisement data, and the advertisement data attribute may include: interaction time stamp, advertisement data identification, advertisement data field type and the like.

The targeted second node may combine the user information of the targeted user and the advertisement data attributes into a historical interaction record of the targeted user (referred to as a targeted historical interaction record).

And the target second node stores the target historical interaction record into the block body, and calculates the Mercker root of the target historical interaction record by adopting a hash algorithm (the hash algorithm can be an SHA-256 algorithm, an MD5 algorithm or an MD4 algorithm and the like).

And the target second node acquires the hash value of the last service block of the current service block chain, and stores the current timestamp, the hash value of the last service block and the Merckel root of the target historical interaction record to the block head.

Wherein, the hash value of the service block is hash (block header data of the service block).

And the target second node combines the block body storing the target historical interaction record and the block head storing the current time stamp, the hash value of the last service block and the Merckel root of the target historical interaction record into a target service block.

And the target second node adds the target service block to the service block chain and broadcasts the target service block to other block chain nodes so as to enable the service block chains maintained by all the block chain nodes to be consistent.

Please refer to fig. 6, which is a schematic diagram of a service block according to an embodiment of the present application, and as can be seen from fig. 6, each service block includes a block body and a block header, where the block header further includes: hash value of last service block, merkel root of block body of present service block and time stamp. According to the sequence of generating the service blocks and the hash value of the last service block, a plurality of service blocks can be connected to form a service block chain.

It should be noted that, as long as the target second node detects that the target user sends an interaction behavior with the target historical advertisement data, the target second node immediately generates a target historical interaction record. After the target historical interaction records can be accumulated to a certain number, a target business block is generated; alternatively, the target business block corresponding to the target historical interaction record may be generated immediately as long as the target historical interaction record is generated.

Please refer to fig. 7, which is an interaction diagram of advertisement delivery data provided in an embodiment of the present application, where the advertisement delivery data relates to an advertiser, a media advertisement delivery system, a media advertisement diversity control system, and a media user, where a terminal device where the advertiser is located may correspond to a third node in the present application, a terminal device where the media advertisement delivery system and the media advertisement diversity control system are located may correspond to a first node in the present application, and a terminal device where the media user is located may correspond to a target second node in the present application.

The advertising data delivery method comprises the following steps:

step S401, the advertiser puts the advertisement to the media advertisement putting system.

Step S402, the media advertisement delivery system can deliver advertisements to media users according to the preferences of the users and the business requirements of the advertisers.

Step S403, the media user and the advertisement are interacted, the target second node where the media user is located generates a history interaction record, and the second node generates a service block according to the history interaction record.

The interactive records comprise exposure time stamps/click time stamps/conversion time stamps, advertisement positions, user ids, advertisement order information, advertisement data ids, advertisement data field types and other information.

Step S404, the second node broadcasts the generated service block to the media advertisement diversity system.

The specific process of the second node generating the record interaction record, generating the service block and uplink may refer to steps S301 to S303 in the embodiment corresponding to fig. 5.

Step S405, the media advertisement diversity control system assists the media advertisement delivery system to determine the advertisement to be delivered aiming at the media user according to the interaction record in the service block.

Step S406, the media advertisement delivery system delivers the determined advertisement to be delivered to the media user, and the domain type of the advertisement to be delivered is different from the domain type of the advertisement already delivered in the foregoing, that is, different types of advertisements are delivered.

This application comes the interactive record of record user and propaganda data by the block on the block chain, rely on the safety of block chain, complete characteristic, first node can be complete and in time acquire the interactive record between user and the historical propaganda data, avoid leading to first node can not acquire the interactive record because of the network reason, and then replay the condition of putting in the propaganda data to the user, consequently adopt the type of the propaganda data that this application can richen put in, improve the accuracy nature to user propelling movement propaganda data, and then improve the propaganda effect of propaganda data.

Further, please refer to fig. 8, which is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application. As shown in fig. 8, the data processing apparatus 1 may be applied to the first node in the embodiments corresponding to fig. 3 to fig. 7, specifically, the data processing apparatus 1 may be a computer program (including program code) running in a computer device, for example, the data processing apparatus 1 is an application software; the data processing device 1 may be configured to perform corresponding steps in the method provided by the embodiment of the present application.

The data processing apparatus 1 may include: a first obtaining module 11, an extracting module 12, a second obtaining module 13 and a first sending module 14.

A first obtaining module 11, configured to respond to a promotion data pushing request of a target user, and obtain a service block chain; the service block chain comprises a target service block, and the target service block is used for storing a target historical interaction record between a target user and target historical propaganda data;

the extracting module 12 is configured to extract a target service block from the service block chain, and obtain a target historical interaction record from the target service block;

the second obtaining module 13 is configured to obtain recommended propaganda data of the target user according to the target historical interaction record;

and the first sending module 14 is configured to send the recommended propaganda data to a target second node where the target user is located.

For specific functional implementation manners of the first obtaining module 11, the extracting module 12, the second obtaining module 13, and the first sending module 14, reference may be made to steps S201 to S204 in the embodiment corresponding to fig. 4, which is not described herein again.

Referring to FIG. 8, the target historical interaction record includes an interaction timestamp; recommending the propaganda data as recommending advertisement data;

the second obtaining module 13 may include: a first acquisition unit 131, a selection unit 132, and a determination unit 133.

The first obtaining unit 131 is configured to obtain a selection timestamp, use a target history interaction record of which the interaction timestamp is greater than the selection timestamp as a target history interaction record to be processed, and obtain at least one piece of advertisement data to be recommended;

the selecting unit 132 is configured to select advertisement data to be recommended, which has no interactive relationship with a target user, from at least one advertisement data to be recommended according to a target historical interaction record to be processed;

a determining unit 133, configured to use the selected advertisement data to be recommended as recommended advertisement data.

The specific processes of the first obtaining unit 131, the selecting unit 132 and the determining unit 133 may refer to step S203 in the embodiment corresponding to fig. 4.

Referring to fig. 8, the target history interaction record to be processed includes an advertisement data identifier;

the selection unit 132 may include: a first extraction subunit 1321 and a first determination subunit 1322.

The first extracting subunit 1321, configured to extract advertisement data to be recommended, which does not carry an advertisement data identifier, from the at least one advertisement data to be recommended;

and the first determining subunit 1322 is configured to determine the extracted advertisement data to be recommended as advertisement data to be recommended, which has no interactive relationship with the target user.

The specific processes of the first extracting subunit 1321 and the first determining subunit 1322 can refer to step S203 in the embodiment corresponding to fig. 4.

Referring again to fig. 8, the target history interaction record to be processed includes the advertisement data field type;

the selecting unit 132 may include: a second extraction sub-unit 1323 and a second determination sub-unit 1324.

A second extracting subunit 1323, configured to extract advertisement data to be recommended, which does not belong to the type of the advertisement data field, from the at least one advertisement data to be recommended;

and a second determining subunit 1324, configured to determine the extracted advertisement data to be recommended as advertisement data to be recommended that has no interactive relationship with the target user.

The specific processes of the second extracting sub-unit 1323 and the second determining sub-unit 1324 can refer to step S203 in the embodiment corresponding to fig. 4.

Referring back to fig. 8, the data processing apparatus 1 may include: a first obtaining module 11, an extracting module 12, a second obtaining module 13 and a first sending module 14; the method can also comprise the following steps: a third acquisition module 15 and an adjustment module 16.

The first obtaining module 11 is further configured to receive a publicity data analysis request sent by a third node;

a third obtaining module 15, configured to obtain a node permission of a third node;

the adjusting module 16 is configured to send a history interaction record analysis table of the service block chain to the third node if the node authority of the third node is the member node authority;

the third obtaining module 15 is specifically configured to obtain a transaction record set, and if a target transaction record exists in the transaction record set, adjust the node authority of the third node to the member node authority; the target transaction record is used for recording transaction information of the first node transferring the resource data from the node account corresponding to the third node to the node account corresponding to the first node.

The specific processes of the first obtaining module 11, the third obtaining module 15 and the adjusting module 16 may refer to step S204 in the embodiment corresponding to fig. 4.

Referring to fig. 8, the first sending module 14 may include: a second acquisition unit 141 and an adjustment unit 142.

A second obtaining unit 141, configured to obtain a user right of a target user;

the adjusting unit 142 is configured to, when the user right of the target user is the member user right, adjust display of the recommended advertisement data, send the recommended advertisement data with the adjusted display duration to the target second node;

the second obtaining unit 141 is specifically configured to count the number of blocks of the target service block, and if the number of blocks is greater than the number threshold, adjust the user right of the target user to the member user right.

The specific processes of the second obtaining unit 141 and the adjusting unit 142 may refer to step S105 in the corresponding embodiment of fig. 3.

Further, please refer to fig. 9, which is a schematic structural diagram of a data processing apparatus according to an embodiment of the present application. As shown in fig. 9, the data processing apparatus 2 may be applied to the target second node in the embodiments corresponding to fig. 3 to fig. 7, specifically, the data processing apparatus 2 may be a computer program (including program code) running in a computer device, for example, the data processing apparatus 2 is an application software; the data processing device 2 may be configured to perform corresponding steps in the method provided by the embodiment of the present application.

The data processing apparatus 2 may include: a first generating module 21, a second sending module 22 and a display module 23.

The first generation module 21 is configured to generate a promotion data push request of a target user in response to a refresh operation of the target user on a user interface;

the second sending module 22 is configured to send the advertisement data pushing request to the first node, instruct the first node to obtain a service block chain according to the advertisement data pushing request, obtain a target history interaction record between the target user and the target history advertisement data from the service block chain, and obtain recommended advertisement data of the target user according to the target history interaction record;

and the display module 23 is configured to receive the recommended propaganda data sent by the first node, and display the recommended propaganda data on a user interface.

For specific functional implementation manners of the first generating module 21, the second sending module 22 and the displaying module 23, reference may be made to steps S301 to S303 in the embodiment corresponding to fig. 5, which is not described herein again.

Referring to FIG. 9, the targeted historical promotional data is targeted historical advertising data;

the data processing apparatus 2 may include: a first generating module 21, a second sending module 22 and a display module 23; the method can also comprise the following steps: a second generation module 24.

The second generating module 24 is configured to obtain user information of a target user, obtain target historical advertisement data having an interaction relationship with the target user, combine the user information and advertisement data attributes of the target historical advertisement data into a target historical interaction record between the target user and the target historical advertisement data, generate a target service block according to the target historical interaction record, and add the target service block to a service block chain.

The specific functional implementation manner of the second generating module 24 may refer to step S303 in the embodiment corresponding to fig. 5, which is not described herein again.

Further, please refer to fig. 10, which is a schematic structural diagram of a computer device according to an embodiment of the present application. The first node in the embodiments corresponding to fig. 3 to fig. 7 may be a computer device 1000, and as shown in fig. 10, the computer device 1000 may include: a user interface 1002, a processor 1004, an encoder 1006, and a memory 1008. Signal receiver 1016 is used to receive or transmit data via cellular interface 1010, WIFI interface 1012. The encoder 1006 encodes the received data into a computer-processed data format. The memory 1008 has stored therein a computer program by which the processor 1004 is arranged to perform the steps of any of the method embodiments described above. The memory 1008 may include volatile memory (e.g., dynamic random access memory DRAM) and may also include non-volatile memory (e.g., one time programmable read only memory OTPROM). In some instances, the memory 1008 can further include memory located remotely from the processor 1004, which can be connected to the computer device 1000 via a network. The user interface 1002 may include: a keyboard 1018, and a display 1020.

In the computer device 1000 shown in fig. 10, the processor 1004 may be configured to call the memory 1008 to store a computer program to implement:

responding to a propaganda data pushing request of a target user, and acquiring a service block chain; the service block chain comprises a target service block, and the target service block is used for storing a target historical interaction record between a target user and target historical propaganda data;

extracting a target service block from the service block chain, and acquiring a target historical interaction record from the target service block;

acquiring recommended propaganda data of a target user according to the target historical interaction record;

and sending the recommended propaganda data to a target second node where the target user is located.

It should be understood that the computer device 1000 described in this embodiment of the present application may perform the description of the data processing method in the embodiment corresponding to fig. 4, and may also perform the description of the data processing apparatus 1 in the embodiment corresponding to fig. 8, which is not described herein again. In addition, the beneficial effects of the same method are not described in detail.

Further, here, it is to be noted that: the embodiment of the present application further provides a computer storage medium, and the computer storage medium stores the aforementioned computer program executed by the data processing apparatus 1, and the computer program includes program instructions, and when the processor executes the program instructions, the description of the data processing method in the embodiment corresponding to fig. 4 can be performed, so that details are not repeated here. In addition, the beneficial effects of the same method are not described in detail. For technical details not disclosed in the embodiments of the computer storage medium referred to in the present application, reference is made to the description of the embodiments of the method of the present application.

Further, please refer to fig. 11, which is a schematic structural diagram of a computer device according to an embodiment of the present application. The target second node in the embodiments corresponding to fig. 3 to fig. 7 may be a computer device 2000, and as shown in fig. 11, the computer device 2000 may include: a user interface 2002, a processor 2004, an encoder 2006, and a memory 2008. The signal receiver 2016 is configured to receive or transmit data via the cellular interface 2010, the WIFI interface 2012, the. Encoder 2006 encodes the received data into a computer-processed data format. The memory 2008 has stored therein a computer program, and the processor 2004 is arranged to execute the steps of any of the method embodiments described above by means of the computer program. The memory 2008 may include a volatile memory (e.g., dynamic random access memory DRAM) and may also include a non-volatile memory (e.g., an otp rom OTPROM). In some examples, the memory 2008 may further include memory remotely located from the processor 2004, which may be connected to the computer device 2000 via a network. The user interface 2002 may include: a keyboard 2018 and a display 2020.

In the computer device 2000 shown in fig. 11, the processor 2004 may be configured to call the memory 2008 to store a computer program to implement:

responding to the refreshing operation of the target user on the user interface, and generating a propaganda data pushing request of the target user;

sending the propaganda data pushing request to a first node, indicating the first node to acquire a service block chain according to the propaganda data pushing request, acquiring a target historical interaction record between a target user and target historical propaganda data from the service block chain, and acquiring recommended propaganda data of the target user according to the target historical interaction record;

and receiving the recommended propaganda data sent by the first node, and displaying the recommended propaganda data on a user interface.

It should be understood that the computer device 2000 described in this embodiment may perform the description of the data processing method in the embodiment corresponding to fig. 5, and may also perform the description of the data processing apparatus 2 in the embodiment corresponding to fig. 9, which is not described herein again. In addition, the beneficial effects of the same method are not described in detail.

Further, here, it is to be noted that: the embodiment of the present application further provides a computer storage medium, and the computer storage medium stores the aforementioned computer program executed by the data processing apparatus 2, and the computer program includes program instructions, and when the processor executes the program instructions, the description of the data processing method in the embodiment corresponding to fig. 5 can be performed, so that details are not repeated here. In addition, the beneficial effects of the same method are not described in detail. For technical details not disclosed in the embodiments of the computer storage medium referred to in the present application, reference is made to the description of the embodiments of the method of the present application.

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

The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and is not to be construed as limiting the scope of the present application, so that the present application is not limited thereto, and all equivalent variations and modifications can be made to the present application.

Claims

1. A data processing method, comprising:

responding to a propaganda data pushing request of a target user, and acquiring a service block chain by a first node; the service block chain comprises a target service block, and the target service block is used for storing a target historical interaction record between the target user and target historical propaganda data;

the first node extracts the target service block from the service block chain and acquires the target historical interaction record from the target service block;

the first node acquires recommended propaganda data of the target user according to the target historical interaction record;

2. The method of claim 1, wherein the chain of traffic blocks comprises at least one traffic block; the at least one service block is generated by at least one second node according to a historical interaction record between a user and historical propaganda data and is added to the service block chain; the at least one traffic block comprises the target traffic block; the at least one second node comprises the target second node.

3. The method of claim 1, wherein the target historical interaction record comprises an interaction timestamp; the recommended propaganda data is recommended advertisement data;

the first node acquires the recommendation propaganda data of the target user according to the target historical interaction record, and the recommendation propaganda data comprises the following steps:

the first node acquires a selection timestamp;

the first node takes the target historical interaction record with the interaction timestamp larger than the selection timestamp as a target historical interaction record to be processed;

the first node acquires at least one piece of advertisement data to be recommended;

the first node selects advertisement data to be recommended which have no interactive relation with the target user from the at least one advertisement data to be recommended according to the historical interaction record of the target to be processed;

and the first node takes the selected advertisement data to be recommended as the recommended advertisement data.

4. The method of claim 3, wherein the pending target historical interaction record comprises an advertisement data identification;

the first node selects advertisement data to be recommended from the at least one advertisement data to be recommended, which has no interactive relation with the target user, according to the historical interaction record of the target to be processed, and the method comprises the following steps:

the first node extracts advertisement data to be recommended which do not carry the advertisement data identification from the at least one advertisement data to be recommended;

and the first node determines the extracted advertisement data to be recommended as the advertisement data to be recommended which has the non-interactive relation with the target user.

5. The method of claim 3, wherein the pending target historical interaction records comprise advertisement data field types;

the first node extracts advertisement data to be recommended which do not belong to the type of the advertisement data field from the at least one advertisement data to be recommended;

6. The method of claim 1, further comprising:

the first node receives a propaganda data analysis request sent by a third node, and obtains the node authority of the third node;

and if the node authority of the third node is the authority of a member node, the first node sends a historical interaction record analysis table of the service block chain to the third node.

7. The method of claim 6, wherein the obtaining node permission of the third node comprises:

the first node acquires a transaction record set;

if the target transaction record exists in the transaction record set, the first node adjusts the node authority of the third node into the member node authority; the target transaction record is used for recording transaction information of the first node transferring the resource data from the node account corresponding to the third node to the node account corresponding to the first node.

8. The method of claim 1, wherein the sending, by the first node, the recommended propaganda data to a target second node where the target user is located comprises:

the first node acquires the user authority of the target user;

when the user right of the target user is a member user right, the first node adjusts the display duration of the recommended propaganda data;

and the first node sends the recommended propaganda data with the display duration adjusted to the target second node.

9. The method of claim 8, wherein the first node obtaining the user right of the target user comprises:

the first node counts the block number of the target service block;

if the number of the blocks is larger than a number threshold, the first node adjusts the user authority of the target user to the member user authority.

10. A data processing method, comprising:

responding to the refreshing operation of a target user on a user interface, and generating a propaganda data pushing request of the target user by a target second node;

the target second node sends the propaganda data pushing request to a first node, instructs the first node to acquire a service block chain according to the propaganda data pushing request, acquires a target historical interaction record between the target user and target historical propaganda data from the service block chain, and acquires recommended propaganda data of the target user according to the target historical interaction record;

and the target second node receives the recommended propaganda data sent by the first node and displays the recommended propaganda data on the user interface.

11. The method of claim 10, wherein the targeted historical promotional data is targeted historical advertising data;

the method further comprises the following steps:

the target second node acquires user information of the target user and acquires the target historical advertisement data having an interactive relation with the target user;

the target second node combines the user information and the advertisement data attribute of the target historical advertisement data into a target historical interaction record between the target user and the target historical advertisement data;

and the target second node generates a target service block according to the target historical interaction record and adds the target service block to the service block chain.

12. A data processing apparatus, comprising:

the first acquisition module is used for responding to a propaganda data pushing request of a target user and acquiring a service block chain; the service block chain comprises a target service block, and the target service block is used for storing a target historical interaction record between the target user and target historical propaganda data;

the extracting module is used for extracting the target service block from the service block chain and acquiring the target historical interaction record from the target service block;

the second acquisition module is used for acquiring the recommended propaganda data of the target user according to the target historical interaction record;

13. A data processing apparatus, comprising:

the first generation module is used for responding to the refreshing operation of a target user on a user interface and generating a propaganda data pushing request of the target user;

the second sending module is used for sending the propaganda data pushing request to a first node, indicating the first node to acquire a service block chain according to the propaganda data pushing request, acquiring a target historical interaction record between the target user and target historical propaganda data from the service block chain, and acquiring recommended propaganda data of the target user according to the target historical interaction record;

and the display module is used for receiving the recommended propaganda data sent by the first node and displaying the recommended propaganda data on the user interface.

14. A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1-11.

15. A computer storage medium, characterized in that the computer storage medium stores a computer program comprising program instructions which, when executed by a processor, perform the method according to any one of claims 1-11.