CN110866178B

CN110866178B - Data processing method, device and machine-readable medium

Info

Publication number: CN110866178B
Application number: CN201810982075.2A
Authority: CN
Inventors: 陈华良
Original assignee: Banma Zhixing Network Hongkong Co Ltd
Current assignee: Banma Zhixing Network Hongkong Co Ltd
Priority date: 2018-08-27
Filing date: 2018-08-27
Publication date: 2024-04-09
Anticipated expiration: 2038-08-27
Also published as: CN110866178A

Abstract

The embodiment of the application provides a data processing method, a device, equipment and a machine-readable medium, wherein the method comprises the following steps: determining first information according to user data of at least one user corresponding to the first attribute and/or scenes corresponding to the target user; the user data includes: feedback data of the user to the second information; pushing target information to the target user, wherein the target information is all or part of the first information, or the target information has an association relationship with the first information; the target user corresponds to the first attribute or corresponds to the second attribute, an association relationship exists between the first attribute and the second attribute, and the target user comprises at least one user. According to the method and the device for pushing the target information, the disturbance of the target information to the user can be reduced, the information pushing effect can be improved, and the utilization rate of resources can be improved.

Description

Data processing method, device and machine-readable medium

Technical Field

The present application relates to the field of computer technology, and in particular, to a data processing method, a data processing apparatus, an apparatus, and a machine readable medium.

Background

With the development of computer technology, information push technology is one of the key technologies for touching users. The information pushing technology is a technology for reducing information overload by pushing information required by a user on the Internet through a certain technical standard or protocol. The information pushing technology actively pushes information to the user, so that the time spent by the user for searching on the network can be reduced.

Currently, a user group corresponding to a piece of information can be determined, and the piece of information is pushed to the user group. For example, for a certain piece of information related to "shaver", the characteristics of its corresponding user group may include: men, ages 20-40, etc.

However, in practical applications, not every user in the user group is interested in the pushed information, which causes some users in the user group to be disturbed by the information which is not interested, and thus the information pushing effect is poor; moreover, since the pushed information contains a large amount of information which is not desired by the user, a poor information pushing effect is obtained under the condition that a large amount of resources (network resources and human resources) are consumed, and therefore the utilization rate of the resources is low.

Disclosure of Invention

The technical problem to be solved by the embodiments of the present application is to provide a data processing method, which can reduce the disturbance of target information to a user, further can improve the information pushing effect, and can improve the utilization rate of resources.

Correspondingly, the embodiment of the application also provides a data processing device, a device and a machine-readable medium, which are used for guaranteeing the implementation and application of the method.

In order to solve the above problems, an embodiment of the present application discloses a data processing method, including:

determining first information according to user data of at least one user corresponding to the first attribute and/or scenes corresponding to the target user; the user data includes: feedback data of the user to the second information;

pushing target information to the target user, wherein the target information is all or part of the first information, or the target information has an association relationship with the first information;

the target user corresponds to the first attribute or corresponds to the second attribute, an association relationship exists between the first attribute and the second attribute, and the target user comprises at least one user.

On the other hand, the embodiment of the application also discloses a data processing method, which comprises the following steps:

Receiving first information;

determining a processing mode corresponding to the first information according to feedback data of a user on the historical information and/or a scene corresponding to the user;

and processing the first information according to the processing mode corresponding to the first information.

On the other hand, the embodiment of the application also discloses a data processing device, which comprises:

the first information determining module is used for determining first information according to user data of at least one user corresponding to the first attribute and/or a scene corresponding to a target user; the user data includes: feedback data of the user to the second information; and

the target information pushing module is used for pushing target information to the target user, wherein the target information is all or part of the first information, or the target information and the first information have an association relation;

the information receiving module is used for receiving the first information;

The processing mode determining module is used for determining a processing mode corresponding to the first information according to feedback data of the user on the historical information and/or a scene corresponding to the user; and

and the information processing module is used for processing the first information according to the processing mode corresponding to the first information.

In yet another aspect, an embodiment of the present application further discloses an apparatus, including:

one or more processors; and

one or more machine-readable media having instructions stored thereon, which when executed by the one or more processors, cause the apparatus to perform one or more of the methods described previously.

In yet another aspect, embodiments of the present application disclose one or more machine-readable media having instructions stored thereon that, when executed by one or more processors, cause an apparatus to perform one or more of the methods described previously.

In another aspect, an embodiment of the present application discloses a data processing method, including:

acquiring data of a plurality of terminals, wherein the data comprises: feedback data of the user;

determining target information according to the feedback data of the user;

and pushing the target information to the target terminal according to the scene of the target terminal.

Compared with the prior art, the embodiment of the application has the following advantages:

according to the method and the device for pushing the information, the first attribute is adopted in the process of determining the first information, and can be used for enabling the first information to be matched with the target user, so that the interest degree of the target user on the target information can be improved, the disturbance of the target information on the user is reduced, and the information pushing effect can be improved.

The user's feedback data for the second information may characterize to some extent the user's preference properties. According to the method and the device for pushing the information, feedback data of the user on the second information are adopted in the process of determining the first information and the target user, so that preference attributes of the first information and the target user can be matched, the interest degree of the target user on the target information can be improved, the disturbance of the target information on the user is reduced, and the information pushing effect can be improved.

According to the method and the device for pushing the target information, the scene of the target user is considered in the process of determining the first information and the target user, and the scene can reflect accurate user requirements, so that the association between the target information and the user requirements can be improved, the interest degree of the target user on the target information can be improved, the disturbance of the target information on the user is reduced, and the information pushing effect can be improved.

In addition, as the method and the device can improve the interest degree of the user on the target information, a good information pushing effect can be obtained under the condition that a small amount of resources are consumed, and therefore the utilization rate of the resources can be improved.

Drawings

FIG. 1 is an exemplary block diagram of a data processing system according to an embodiment of the present application;

FIG. 2 is a flowchart illustrating steps of a first embodiment of a data processing method according to the present application;

FIG. 3 is a flowchart illustrating steps of a second embodiment of a data processing method according to the present application;

FIG. 4 is a flowchart illustrating steps of a third embodiment of a data processing method according to the present application;

FIG. 5 is an exemplary block diagram of a data processing system of the present application;

FIG. 6 is a flowchart illustrating steps of a fourth embodiment of a data processing method according to the present application;

FIG. 7 is a block diagram of an embodiment of a data processing apparatus of the present application;

FIG. 8 is a block diagram of an embodiment of a data processing apparatus of the present application; and

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

Detailed Description

In order that the above-recited objects, features and advantages of the present application will become more readily apparent, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments that are illustrated in the appended drawings.

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application are within the scope of the protection of the present application.

The concepts of the present application are susceptible to various modifications and alternative forms, specific embodiments thereof have been shown by way of example in the drawings and will herein be described in detail. It should be understood, however, that the description herein of specific embodiments is not intended to limit the concepts of the present application to the particular forms disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present application.

Reference in the specification to "one embodiment," "an embodiment," "one particular embodiment," etc., means that a particular feature, structure, or characteristic may be included in the described embodiments, but every embodiment may or may not necessarily include the particular feature, structure, or characteristic. Moreover, such phrases are not necessarily referring to the same embodiment. Further, where a particular feature, structure, or characteristic is described in connection with an embodiment, it is submitted that it is within the purview of one skilled in the art to effect such feature, structure, or characteristic in connection with other ones of the embodiments whether or not explicitly described. In addition, it should be understood that the items in the list included in this form of "at least one of A, B and C" may include the following possible items: (A); (B); (C); (A and B); (A and C); (B and C); or (A, B and C). Likewise, an item listed in this form of "at least one of A, B or C" may mean (A); (B); (C); (A and B); (A and C); (B and C); or (A, B and C).

In some cases, the disclosed embodiments may be implemented as hardware, firmware, software, or any combination thereof. The disclosed embodiments may also be implemented as instructions carried on or stored on one or more transitory or non-transitory machine-readable (e.g., computer-readable) storage media, which may be executed by one or more processors. A machine-readable storage medium may be implemented as a storage device, mechanism, or other physical structure (e.g., volatile or non-volatile memory, a media disc, or other media other physical structure device) for storing or transmitting information in a form readable by a machine.

In the drawings, some structural or methodological features may be shown in a particular arrangement and/or ordering. Preferably, however, such specific arrangement and/or ordering is not necessary. Rather, in some embodiments, such features may be arranged in a different manner and/or order than as shown in the drawings. Furthermore, inclusion of a feature in a particular figure that is not necessarily meant to imply that such feature is required in all embodiments and that, in some embodiments, may not be included or may be combined with other features.

The embodiment of the application provides a data processing method, which can comprise the following steps: determining first information according to user data of at least one user corresponding to the first attribute and/or scenes corresponding to the target user; the user data may include: feedback data of the user to the second information; pushing target information to the target user, wherein the target information can be all or part of the first information, or an association relationship exists between the target information and the first information; the target user may correspond to the first attribute or correspond to the second attribute, the first attribute and the second attribute may have an association relationship, and the target user may include at least one user.

In this embodiment of the present application, the first attribute may refer to an attribute that a user has. According to the method and the device for determining the first information, the first attribute is adopted in the process of determining the first information, so that the first information is matched with the target user, the interest degree of the target user on the target information can be improved, the disturbance of the target information on the user is reduced, and the information pushing effect can be improved.

In the embodiment of the present application, the user data may include: and the user feeds back data of the second information. The second information may refer to history information, and the second information may include: and touching information of the user through an information push technology. The feedback data of the second information by the user may include: whether the user has viewed the second information, clicked the second information, performed purchasing behavior after clicking the second information, registered behavior, collecting behavior, and the like. In this embodiment of the present application, clicking the second information may point to clicking a link corresponding to the second information, so as to jump to a page corresponding to the second information. For example, in the case that the second information corresponds to the commodity, clicking on the second information may jump to a detail page of the commodity; for another example, in the case that the second information corresponds to the article, clicking on the second information may open the article, that is, may display the content of the article.

For example, user a does not view any second information, may consider user a to be relatively disliked from the second information, and may not be presented with the second information. Alternatively, the user B views the second information a but does not click on the second information a, and may consider the user to be not interested in the second information a or the type to which the second information a corresponds. As another example, the user C views and clicks on the second information a, and may consider the user to be interested in the second information a or the type corresponding to the second information a.

In the embodiment of the application, a scene is a term of art in the film industry, and refers to a living picture formed by a certain object (including a person, an animal, a thing, etc.) and an object activity at a certain time and place. Extending to the field of computer technology in the embodiments of the present application, a scenario refers to a concept that a service operator introduces in order to meet a specific requirement of a class of users. For example, a user may arrive at a jindong mall and want to purchase an apple computer; or the user opens the WeChat to know the eight diagrams of the circle of friends, etc.; or the user comes to a gas station and needs to refuel; or the user arrives at a store and needs to consume; or the user comes to the scenic spot and needs to visit; or, the user is leisure at home; or, the user is on duty at the unit; alternatively, the user is running or prefers running; alternatively, the user gets up; the user turns the device on, etc., all of which are scenes.

Scene data may refer to data (e.g., date, time, place, behavior, action, location, morphology, spatiotemporal elements, etc.) collected during use relative to a device to which a user corresponds. The objects that the device interacts with may include, but are not limited to: other user devices (e.g., cell phones), peripheral devices such as bluetooth cell phones, keyboard and server devices, etc., or entities within a direct environment such as landmarks, etc., machines, vehicles, etc.

Alternatively, the scene may be defined by a scene model. The scene model may include: the scene data corresponds to any one or combination of a plurality of fields, such as a time field, a position field and a device state (such as the speed of a vehicle and the like). It can be appreciated that a service operator or a person skilled in the art may set any required scenario according to actual application requirements, and the embodiment of the present application does not limit specific scenarios and scenario models.

Because the scene can reflect more accurate user demands, the scene of the target user is considered in the process of determining the first information and the target user, the association between the target information and the user demands can be improved, the interest degree of the target user on the target information can be improved, the disturbance of the target information on the user is reduced, and the information pushing effect can be improved.

In the embodiment of the present application, the types of information may include: news, advertisements, etc., where the advertisements may relate to goods or services. The pushing manner of the information can include: short messages, mail, popup, phone, etc. It can be appreciated that the embodiment of the application does not limit the specific type and specific pushing manner of the information.

The data processing method provided in the embodiment of the present application may be applied to the application environment shown in fig. 1, where as shown in fig. 1, the client 100 and the server 200 are located in a wired or wireless network, and through the wired or wireless network, the client 100 performs data interaction with the server 200.

Optionally, the client 100 may be running on a device, for example, the client 100 may be an APP running on the device, such as a short message APP, an electronic commerce APP, an instant messaging APP, an input method APP, or an APP carried by an operating system, etc., which is not limited in the embodiment of the present application. Alternatively, the apparatus may specifically include, but is not limited to: smart phones, tablet computers, e-book readers, MP3 (dynamic video expert compression standard audio plane 3,Moving Picture Experts Group Audio Layer III) players, MP4 (dynamic video expert compression standard audio plane 4,Moving Picture Experts Group Audio Layer IV) players, laptop portable computers, car computers, desktop computers, set-top boxes, smart televisions, wearable devices, and the like. It will be appreciated that embodiments of the present application are not limited to a particular device.

In an alternative embodiment of the present application, the client 100 may report the user data to the server 200. The reporting manner of the user data by the client 100 may include: and reporting the collected user behavior data under the condition that the timing reporting mode, the periodic reporting mode or the network meets preset network conditions (such as a WIFI (wireless fidelity, wireless Fidelity) network or good signal quality).

According to one embodiment, the client 100 may collect feedback data of the second information from the user, for example, collect whether the user views the second information, or clicks on the second information, and report the feedback data to the server 200.

According to another embodiment, the client 100 may also determine scene data of the user. The scene data may include: the resulting scenes are identified, such as at home, running, getting up, at a company, at a sight spot, at a gas station, etc.

The scene data may further include: device environment data for detecting whether the device is in a scene, and in particular, whether the device is in a scene may be detected by judging whether the device environment data and the scene environment data match.

The device environment data may include: sensor data of a device corresponding to a user, or status data of a device corresponding to a user, and the like. The sensor data may include, but is not limited to: GPS (global positioning system ) data, acceleration sensor data, gyroscope data, and the like. The status data of the device corresponding to the user may include: applications installed on the device, data for applications on the device (e.g., alarm data), power-on data for the device, power-off data for the device, unlock data for the device, etc.

Embodiments of the present application may provide examples of the following scenarios:

EXAMPLE 1,

In example 1, the scenario may include: POI (point of interest ) scenes, the scene environment data corresponding to the scenes may include: and the position data corresponding to the interest points.

Examples of POIs may include: home, unit, gas station, parking lot, shopping place, store, etc. The POI scene can be used for providing services corresponding to the POI to the user in the condition that the user reaches the POI. The service may be: guidelines or coupons corresponding to POIs, and the like.

The location data corresponding to the point of interest may include: longitude and latitude data, base station data, WIFI data and the like, wherein the base station data can be a base station covered by the interest point, and the WIFI data can be WIFI used by the interest point.

EXAMPLE 2,

In example 2, the scenario may include: the device state scene, the scene environment data corresponding to the scene may include: preset status data of the device.

Taking a vehicle as an example, the device status scenario may include: overspeed, low fuel consumption, etc. Taking air conditioner, purifier, etc. as an example, the device status scenario may include: the device parameters are within a preset range, etc. The device state scene can be used for sending out a reminder to a user under the condition that the device is in a certain device state so as to improve the use experience of the user. For example, in the case of overspeed of the vehicle, a reminder is given to the user to avoid an accident or to be photographed or the like. In another example, in the case where the vehicle oil amount is low, a refuel prompt or the like is issued to the user. For another example, when the air parameter of the purifier indicates that the control quality is poor, a mode switching prompt or the like is sent to the user. Accordingly, a maintenance reminder of the vehicle and the like can be sent to the user in a specific scene.

The preset status data of the device may refer to status data of the device in some aspect, such as for a vehicle overspeed scenario, the preset status data may include: an upper speed limit of the vehicle; as another example, for a low vehicle fuel level scenario, the preset status data may include: lower limit of fuel quantity of vehicle; for another example, for a home device status scenario, the preset status data may include: preset state data of home equipment, and the like. It will be appreciated that the embodiments of the present application do not limit the preset status data of the device.

EXAMPLE 3,

In example 3, the scenario may include: a mode scene, the scene environment data may include: and characteristic data corresponding to the mode.

Taking a vehicle as an example, a mode scenario may include: the route switching scenario, for example, performs switching of a navigation route in the case where the navigation route selected by the user is congested. Taking air conditioning, purifier, etc. devices as an example, the mode scenario may include: a mode switching scenario, etc., for example, in the case where the air parameter of the purifier indicates that the control quality is poor, switching the operation mode, for example, switching the purifier from the first operation mode to the second operation mode, wherein the purge speed of the first operation mode is lower than the purge speed of the second operation mode, etc.

Taking the route switching scenario as an example, the feature data corresponding to the mode may include: a historical route corresponding to a workday navigation mode, a historical route corresponding to a holiday navigation mode, and the like. Taking the mode switching scenario as an example, the feature data corresponding to the mode may include: a range of operating parameters corresponding to the operating mode.

The above description is made in detail through examples 1 to 3 on the scenes and the scene environment data corresponding to the scenes, and it can be understood that, according to the actual application requirements, any one or a combination of examples 1 to 3 may be adopted, or other scenes may also be adopted, and the embodiment of the present application does not limit the specific scenes and the specific scene environment data corresponding to the scenes.

In an alternative embodiment of the present application, the server 200 may mine the scene environment data, generate a scene detection code corresponding to the scene, and issue the scene detection code and the scene environment data corresponding to the scene to the client 100. The client 100 may execute the scene detection code; in the execution process of the scene detection code, detecting whether the equipment is in the scene according to scene environment data and equipment environment data; and the client 100 may obtain the scene according to the execution result corresponding to the scene detection code, and send the scene to the server 200.

Of course, the above-mentioned client 100 executes the scene detection code, which is just an alternative embodiment, and in fact, the server 200 may execute the scene detection code, where in the execution process, it is detected whether the device is in the scene according to the device environment data and the scene environment data reported by the client 100.

Optionally, the scene data may specifically include: scene, or device environment data; the device environment data may specifically include: sensor data of a device corresponding to the user, or status data of a device corresponding to the user.

Optionally, in addition to the feedback data and the scene data, the user data may include: behavior data of the user with respect to non-second information, such as search behavior data, click behavior data, browsing behavior data, etc., which may be used to determine preference attributes of the user.

In one embodiment of the present application, the server 200 may determine the first information according to user data of at least one user corresponding to the first attribute and/or a scene corresponding to the target user, and send the target information to the client 100 corresponding to the target user, so that the client 100 pushes the target information to the target user.

Method embodiment one

Referring to fig. 2, a flowchart illustrating steps of a first embodiment of a data processing method of the present application may specifically include the following steps:

step 201, determining first information according to user data of at least one user corresponding to the first attribute and/or a scene corresponding to a target user; the user data may include: feedback data of the user to the second information;

step 202, pushing target information to the target user, wherein the target information is all or part of the first information, or the target information has an association relationship with the first information;

The target user may correspond to the first attribute or correspond to the second attribute, the first attribute and the second attribute may have an association relationship, and the target user may include at least one user.

At least one step included in the method of the embodiment of the present application may be executed by a server, and the embodiment of the present application does not limit a specific execution body corresponding to the step.

In step 201, the server may receive user data sent by the client.

In step 201, the server may receive information entered by a service operator. In particular, an input interface may be provided through which the service operator inputs information. Optionally, an information template may also be provided, so that the service operator inputs information through the input interface according to the information template. It will be appreciated that embodiments of the present application are not limited to a particular source of information, nor to particular information. The information template may include: text, picture, rich media, etc. The information entered by the service operator may serve as a source of the first information. Of course, the embodiments of the present application are not limited to a specific source of the first information. For convenience of description, the embodiment of the present application uses the information set as a source of the first information, that is, the embodiment of the present application may obtain the first information from the information set.

The first attribute may refer to an attribute possessed by a user. Optionally, the first attribute may include at least one of the following attributes: scene properties, preference properties, and static properties.

The scene attribute may include, among other things, a real-time scene in which the user is located, such as the user is running, the user has just got up, the user is at home, the user is at a unit, etc. Alternatively, the scene attributes may include scenes that the user prefers, such as users enjoying running, etc.

Static properties are relatively stable properties such as the user's age, gender, territory, academic, business, profession, marital, consumption level, identity (e.g., dad, mom, etc.), etc.

With respect to the relative stability of the static properties described above, scene properties and preference properties typically have dynamics, which may change with changing user behavior.

In an alternative embodiment of the present application, the preference attribute may refer to a preference attribute of the user for the content. Wherein the attribute may vary with a user's behavior (at least one of browsing behavior, searching behavior, collecting behavior, storing behavior, focusing behavior, selecting behavior, and evaluating behavior) with respect to the content. Examples of preference attributes may include: like games, like music, etc.

In an optional embodiment of the present application, the user condition corresponding to the first information matches the first attribute.

The user condition may refer to constraint of information on a user, and matching the user condition corresponding to the information in the information set with the first attribute may obtain a user group that satisfies the user condition of one information.

The embodiment of the application allows the customer of the service operator to set the user condition, and specifically, the provided setting interface can comprise: user attribute fields and relationship fields, such that user conditions may be generated based on the settings for the user attribute fields and relationship fields.

Embodiments of the present application may uniquely identify a user by a user identification (UID, user Identification). Therefore, the embodiment of the application can obtain the set of UIDs meeting the user condition of one piece of information; alternatively, embodiments of the present application may obtain at least one first information that matches one UID.

In an alternative embodiment of the present application, the user condition corresponds to a logical expression, and the logical expression is used to characterize a logical relationship between at least two types of user information. The at least two kinds of user information are expressed by connection symbols. The connection symbol may include: and, not, or the like.

Optionally, the logic expression may include: disjunctive normal forms, or conjunctive normal forms. In discrete mathematics, a conjunctive form composed of a limited number of characters is called a simple conjunctive form, and a disjunctive form composed of a limited number of simple conjunctive forms is called a disjunctive normal form, and a conjunctive form composed of a limited number of simple conjunctive forms is called a conjunctive normal form.

Examples of disjunctive norms may include:

DNF1 (like game ≡20-40 years) ≡U (like music)

DNF2 (nearby 3 km. U.C.male). U.S. (nearby 5 km. U.C.female)

DNF3 (like game ∈male)/(like music ∈female)/(nearby 3 km user)

Wherein ". U" is an intersection symbol and ". U" is a union symbol.

It should be appreciated that the disjunctive normal form or the conjunctive normal form are just alternative embodiments, and those skilled in the art may use other logic expressions, such as regular expressions, etc., according to practical application requirements, and the embodiments of the present application are not limited to specific logic expressions.

In another optional embodiment of the present application, the scene condition corresponding to the first information may be matched with the scene of the target user.

Optionally, step 201 determines the first information, which may specifically include: and determining the first information according to the matching information between the scene corresponding to the target user corresponding to the first attribute and the scene condition corresponding to the information.

For example, the scene condition of the "fueling offer information" is at the "fueling station scene", and the scene of the target user is the "fueling station scene", so that the "fueling offer information" can be pushed to the target user. As another example, the scene condition of "music a" is in "running scene", and the scene of the target user is "running scene", so that "music a" can be pushed to the target user.

In yet another alternative embodiment of the present application, the information characteristic corresponding to the first information matches with feedback data of the second information by the user.

The information characteristics corresponding to the first information may include: content of the first information, type of the first information, etc. The type of the first information may refer to a category of the first information, or may refer to a source of the first information, or may be a tag of the first information, the tag being settable by a user, or the like.

In an alternative embodiment of the present application, step 201 determines the first information, which may specifically include: determining preference attributes of at least one user corresponding to the first attribute according to feedback data of the at least one user for the second information; and determining first information according to the preference attribute of the at least one user and the information characteristics corresponding to the information.

Optionally, the target second information focused by the user can be determined according to the feedback data of at least one user corresponding to the first attribute on the second information, and the preference attribute is determined according to the information characteristic of the target second information. Concerns may include: viewing, clicking, purchasing, registering, collecting and the like, the embodiment of the application can determine the preference attribute according to the information characteristics of the target second information focused by the user. For example, a user looking at entertainment news may consider that the user's preference attribute includes "entertainment news". As another example, the user clicks on, or purchases information about, the pushed garment a, may determine user preference attributes, and so forth, based on the information about the garment associated with the garment a.

According to the embodiment of the application, the first information can be determined according to the user data of at least one user corresponding to the first attribute and the scene corresponding to the target user. In this case, the first candidate information may be determined according to the user data of at least one user corresponding to the first attribute first, and then the first information may be determined from the first candidate information according to the scene corresponding to the target user. Alternatively, the second candidate information may be determined according to the scene corresponding to the target user first, and then the first information may be determined from the second candidate information according to the user data of at least one user corresponding to the first attribute.

In an alternative embodiment of the present application, step 201 determines the first information, which may specifically include:

determining the matching degree between the user and the information according to the feedback data of at least one user corresponding to the first attribute for the second information and/or the scene of the target user;

and determining first information according to the matching degree between the user and the information.

In the embodiment of the application, the matching degree between the user and the information can represent the interest degree of the user in the information to a certain extent, and generally, the higher the matching degree between the user and the information is, the more interested the user is in the information; therefore, according to the embodiment of the application, the first information is determined according to the matching degree between the user and the information, and the target information is pushed to the user, so that the interest degree of the user on the target information can be improved, the disturbance of the target information on the user is reduced, and the information pushing effect can be improved.

In an optional embodiment of the present application, the determining the matching degree between the user and the information may specifically include: and determining the matching degree between the user and the information according to the feedback data, the scene, the information and the mapping relation between the matching degree.

The mapping relationship between the feedback data, the scene, the information and the matching degree can be obtained according to the data of the user sample, and the data of the user sample specifically can include: information characteristics of the second information received by the user sample, feedback data of the second information corresponding to the user sample, and a scene corresponding to the user sample.

According to one embodiment, statistical analysis may be performed on the data of the user samples to obtain a mapping relationship between feedback data, scene, information and matching degree, as shown in table 1.

TABLE 1

In table 1, examples of the scene may include: the gas station scene, the get-up scene, the arrival unit scene, the running scene and the like can reflect more accurate user demands, so that the relation between information and the user demands can be reflected according to the matching degree obtained by the scene data of the user, and the rationality and the accuracy of the matching degree can be improved

In table 1, the feedback data of the user to the second information may include: clicking or purchasing information of the pushed clothes A, browsing the pushed entertainment news, and the like, the feedback data can indicate that the user is interested in the second information or the type corresponding to the second information, so that the matching degree between the user and the second information of the same type is higher.

In practical application, the feedback data and/or the scene and the information can be matched with the feedback data and/or the scene and the information in the mapping relation, so as to obtain the matching degree between the user and the information.

According to another embodiment, the data of the user sample may be trained to obtain the first model. Thus, step 201 may input feedback data and/or scene, and information into the first model to obtain a degree of matching of the output of the first model; the training data of the first model may specifically include: information characteristics of the second information received by the user sample, feedback data of the second information corresponding to the user sample, and a scene corresponding to the user sample.

The first model may be a machine learning model. In a broad sense, machine learning is a method by which a machine learning capability can be imparted to perform functions that cannot be performed by direct programming. In a practical sense, machine learning is a method of training out models by using data, and then using model predictions. The machine learning method may include: decision tree methods, linear regression methods, logistic regression methods, neural network methods, k-nearest neighbor methods, etc., it will be appreciated that embodiments of the present application are not limited to specific machine learning methods.

The training data of the first model may be data of a user sample, and the data of the user sample may include the following training features: the attribute of the user sample, the feature of the second information, and the transformation behavior feature (such as clicking behavior, purchasing behavior, registering behavior, collecting behavior, etc.) of the user on the second information may be extracted from the data of the user sample, and training of the first model may be performed according to the training feature.

Wherein, the attribute of the user sample may include: preference attributes, scene attributes, etc., which may be extracted from user data. For example, it may be extracted from the behavior data of the user. The behavior data of the user may include: behavior data of the user with respect to the second information, and behavior data of the user with respect to the non-second information.

The characteristic of the second information may be extracted from data of the second information received from the user sample. The characteristics of the second information may include: content of the second information, type of the second information, etc. The type of the second information may refer to a category of the second information, or may refer to a source or a tag of the second information, etc.

For a user sample, the corresponding matching degree value can be obtained by manual labeling; or the corresponding matching degree value can be obtained according to the feedback data of the user on the second information. Optionally, according to feedback data of the user on the second information, the following basis features may be obtained: whether the user performed feedback behavior with respect to the second information, information (kind) of feedback behavior of the user with respect to the second information, and the like, and obtaining a matching degree value according to the above evaluation feature. In general, the more kinds of feedback actions of the user to the second information, the larger the matching degree value. The range of the matching degree value may be 0 to 1, and of course, the specific range of the matching degree value is not limited in the embodiment of the present application.

It should be noted that, the number of the user samples may be N, and N may be a natural number greater than 0. In practical application, the server may obtain the data of the user sample according to the user data reported by the client.

In the training process of the first model, the occurrence probability of the feedback data of the user for the second information can be predicted under the condition of the user data and the data of the second information, and the occurrence probability can represent the matching degree between the user and the information because whether the feedback data occur can represent whether the user is interested in the second information or not. Of course, the embodiments of the present application are not limited to a specific training process of the first model.

Alternatively, the first information may be determined from the information set according to the degree of matching.

The embodiment of the application can provide the following technical scheme for determining the first information from the information set:

technical scheme A1,

In the technical solution A1, determining the first information from the information set may specifically include: and if the matching degree corresponding to the information exceeds a threshold value, the information is used as first information.

The above threshold may be determined by those skilled in the art according to practical application requirements, for example, if the matching degree ranges from 0 to 1, the threshold may range from 0.5 to 1, and it is understood that the embodiment of the present application is not limited to a specific threshold.

According to the technical scheme A1, the information with the matching degree exceeding the threshold value is used as the first information, and the target information is all or part of the first information, so that the interference of target information which is not interested by a user on the user can be reduced, and the interest degree of the user on the target information can be improved.

Technical scheme A2,

In the technical solution A2, determining the first information from the information set may specifically include: and ordering the information according to the matching degree between the user and the information and the price corresponding to the information, and determining the first information from the information according to the obtained ordering result.

Optionally, if the matching degree corresponding to the information exceeds a threshold, sorting the information according to the matching degree and the price corresponding to the information, and determining the first information from the information according to the obtained sorting result.

According to the technical scheme A2, the matching degree and the price corresponding to the information can be comprehensively utilized to sort the information, so that the target information determined according to the sorting result can be optimized in matching degree and price.

In an alternative embodiment of the present application, the price corresponding to the information may refer to price information corresponding to the information, where the price may be paid by a service operator, and the service system of the embodiment of the present application may obtain the fee corresponding to the price.

Sorting the information according to the matching degree and the price corresponding to the information, may specifically include: and fusing the matching degree and the price, and sorting the information according to the fusion result. The way to fuse the matching degree and the price may include: the weighted average method, the multiplication method, and the like, and it is understood that the embodiment of the present application does not limit the specific method of fusing the matching degree and the price.

Technical proposal A3,

In the technical solution A3, step 203 of determining the target information corresponding to the user may specifically include: and determining first information corresponding to the user in the user set from the information set according to the matching degree between the user and the information, the planned pushing quantity of the information in the information set and the pushing quota of the user in the user set. The user set is used to record users that may receive a corresponding first attribute or second attribute.

According to the technical scheme A3, the pushing quota can be optimized according to the planned pushing quantity of the information in the information set and the pushing quota of the user in the user set.

The number of scheduled pushes of information in the information set may refer to the number of times an information schedule is pushed, and the number of scheduled pushes may be set by a customer of a service operator, for example. The push quota of a user may refer to the amount of information that a user is pushed. According to the method and the device for pushing the target information, constraint conditions can be obtained according to the planned pushing quantity of the information in the information set and the pushing quota of the user in the user set, and the target information corresponding to the user is determined under the constraint conditions.

In practical applications, the number of planned pushes of different information may be the same or different. For example, the number of pushes of information a is 5000, and the number of pushes of information B is 3000, or the like.

According to the embodiment of the application, the optimization of the pushing quota can be realized, so that the gap between the actual pushing quantity of different information can be reduced, and the situation that some information is pushed completely and some information is not pushed or the actual pushing quantity of some information is less can be avoided to a certain extent. For example, the degree of matching between information a and the user is higher, while the degree of matching between information F and the user is lower, without optimization of the push quota, information a will be pushed in large amounts, while information F is pushed less; the embodiment of the application optimizes the pushing quota, so that the opportunity of pushing the information F can be improved, the gap between the actual pushing quantity of different information can be reduced, and the actual pushing quantity of all information can be improved as much as possible.

In an optional embodiment of the present application, the push quota may be 3, and the target information of the target user may be: information 1, information 2, information 3.

In step 202, the target information may refer to information to be pushed to the target user.

According to one embodiment, the target information may be all or part of the first information. In an application example of the present application, the first information may include: the "[ AA online ] shop celebrates to release the 188-full-yuan return 288-yuan ticket ]! 1 Yuan explosion type is robbed every day, paris water 1 Yuan/1 bottle in France-! Snack buy 1 increases by 1-! The address xxx TD unsubscribes ", and the first information includes M items of service information, so that a portion of the M items of service information may be selected from the first information as target information.

According to another embodiment, the target information has an association relationship with the first information. Alternatively, the first keyword corresponding to the target information may be related to the second keyword corresponding to the first information. The first keyword corresponding to the target information may be obtained according to the type or content of the target information, and similarly, the second keyword corresponding to the first information may be obtained according to the type or content of the first information. For example, the second keyword corresponding to the first information includes: "game A (such as Xianjianqi swordsman transmission)", the first keyword corresponding to the target information may include: "props of game A", "characters of game A", "novels or movies of the same name as game A", etc.

In this embodiment of the present application, the target user may correspond to the first attribute or correspond to the second attribute, and the first attribute and the second attribute may have an association relationship, so in this embodiment of the present application, after determining first information that matches with the first attribute, target information corresponding to the first information may be pushed to the target user having the second attribute. Alternatively, the third keyword corresponding to the first attribute may be related to the fourth keyword corresponding to the second attribute. For example, the third keyword corresponding to the first attribute may include "mom", and the fourth keyword corresponding to the second attribute may include "dad", etc.

The method for determining whether two keywords are related according to the embodiment of the application may include: a correlation method, or a word vector method.

The related relation mode can record the related relation between two words, so that searching can be carried out in the related relation according to the two keywords, and if searching hits, the two keywords can be considered to be related.

The word vector mode can respectively determine a first word vector and a second word vector corresponding to the two keywords, and judge whether the two keywords are related according to the similarity between the first word vector and the second word vector.

In step 202, the pushing manner of the target information may include: short messages, mails, popups, telephones, etc., it can be understood that the embodiment of the present application does not limit a specific pushing manner of the target information.

The push channel of the embodiment of the application may include: an SDK (software development kit ) channel of an application program, a C/S (Client/Server) channel, and the like, wherein the C/S channel has a higher push arrival rate. Of course, the embodiment of the present application does not limit a specific push channel.

In summary, in the data processing method of the embodiment of the present application, the first attribute is adopted in the process of determining the first information, where the first attribute may refer to an attribute of a user, so that the first information may be matched with the target user, thereby improving the interest degree of the target user in the target information, reducing the disturbance of the target information in the user, and further improving the information pushing effect.

Method embodiment II

Referring to fig. 3, a flowchart illustrating steps of a second embodiment of a data processing method of the present application may specifically include the following steps:

Step 301, matching a user condition corresponding to information in an information set with a first attribute of a user to obtain third information matched with the first attribute in the information set;

step 302, determining alternative information corresponding to the user from the third information;

step 303, determining the matching degree between the user and the alternative information according to the feedback data of the user on the second information and/or the scene of the user;

step 304, determining first information corresponding to the user from the alternative information according to the matching degree;

step 305, pushing target information to a target user.

Wherein the target user may correspond to a first attribute or a second attribute.

Compared to the first embodiment of the method shown in fig. 2, the first information in the embodiment of the present application may be derived from the alternative information, that is, the embodiment of the present application may determine the first information from the alternative information corresponding to the user according to the matching degree.

Moreover, the alternative information of the embodiment of the application may be matched with the first attribute, which makes the alternative information conform to the first attribute. The user condition may refer to constraint of information on a user, and matching the user condition corresponding to the information in the information set with the first attribute of the user may obtain a user group that satisfies the user condition of one information.

In an alternative embodiment of the present application, the user's attributes may be saved by a user attribute table. Wherein the user attribute table may not include attributes of the blacklisted users. Wherein a blacklist user may refer to a user who masks push information. Whether the user shields the push information can be judged according to the setting of the push information on the equipment corresponding to the user.

According to one embodiment, step 302 may directly use the third information as the alternative information corresponding to the user.

In an optional embodiment of the present application, step 302 may include determining, from the third information, alternative information corresponding to the user, where the step may include: and filtering information received by the user in a preset time period from the third information to obtain alternative information corresponding to the user. The filtering can avoid the repetition of push information. The preset time period may be determined by a person skilled in the art according to actual application requirements, for example, the ending time of the preset time period may be a current time, the current time may be obtained by a clock of the device or a network query, and the time length of the preset time period may be determined by a person skilled in the art according to actual application requirements, for example, the time length may be 7 days, 14 days, one month, etc.

In summary, according to the data processing method of the embodiment of the application, the user condition can refer to constraint of the information on the user, and the user condition corresponding to the information in the information set is matched with the first attribute of the user, so that the directional requirement of the information on the user can be met.

In addition, the embodiment of the application determines the matching degree between the user and the information according to the scene of the user; the scene may refer to a real-time scene in which the user is located, such as the user is running, the user has just got up, the user is at home, the user is in a unit, etc.; the embodiment of the application can meet the requirements corresponding to the real-time scene where the user is located for the target information matched with the real-time scene where the user is located.

In addition, the first attribute of the user may include a preference attribute, or the preference attribute may be obtained according to feedback data of the user for the second information; the first attribute of the user may include a scene attribute, which may refer to a scene preferred by the user, such as a user enjoying running, etc.; thus, the interest degree of the user for the target information can be improved.

Method example III

Referring to fig. 4, a flowchart illustrating steps of a third embodiment of a data processing method of the present application may specifically include the following steps:

Step 401, receiving first information;

step 402, determining a processing mode corresponding to the first information according to feedback data of the user on the historical information and/or a scene corresponding to the user;

step 403, processing the first information according to a processing mode corresponding to the first information.

At least one step included in the method of the embodiment of the present application may be executed by the client, and the embodiment of the present application does not limit the specific execution body corresponding to the step.

In this embodiment of the present application, the received first information may be a push message or a non-push message. For example, the server may obtain target information corresponding to a UID by using the method described in fig. 2 or fig. 3, and send the target information to the client corresponding to the UID; for a client, the target information it receives may be referred to as first information.

User feedback data on historical information may characterize to some extent the user's preference attributes. In the process of determining the processing mode corresponding to the first information, the feedback data of the user to the historical information is adopted, so that the processing mode corresponding to the first information is matched with the preference attribute of the user, and the accuracy and the rationality of the processing mode are improved.

According to the method and the device for processing the first information, the scene of the target user is considered in the process of determining the processing mode corresponding to the first information, and the scene can reflect accurate user requirements, so that the processing mode corresponding to the first information can be matched with the real-time scene of the user, and the accuracy and the rationality of the processing mode are improved.

In the embodiment of the present application, the processing manner may be used to process the first information, where the processing manner may include, but is not limited to: at least one of priority, push time, and whether to push a wait.

In an optional embodiment of the present application, step 402 of determining a processing manner corresponding to the first information may specifically include: determining a first matching degree between the user and the first information according to feedback data of the user on the historical information and/or a scene corresponding to the user; and determining a processing mode corresponding to the first information according to the first matching degree.

The processing mode corresponding to the first information is obtained according to the first matching degree, so that the processing mode can have certain rationality. Taking the processing mode as the priority, in general, the higher the first matching degree is, the higher the priority is, or the lower the first matching degree is, the lower the priority is, so that the first information with lower first matching degree has lower priority; on this basis, the first information with the lower priority may be processed to reduce interference of the first information with the lower priority to the user.

In an optional embodiment of the present application, determining a processing manner corresponding to the first information may specifically include: and determining a first matching degree between the user and the first information according to the feedback data, the scene, the information and the mapping relation between the matching degrees. The mapping relationship between the feedback data, the scene, the information and the matching degree may refer to the content of the first embodiment of the method shown in fig. 2, which is not described herein.

In an alternative embodiment of the present application, the processing manner may include: a priority; the priority may specifically include: the first priority may be higher than the second priority, and the first matching degree corresponding to the first priority may be higher than the first matching degree corresponding to the second priority.

Referring to table 2, a schematic representation of a range of first matching degrees corresponding to priorities in the embodiment of the present application is shown. Wherein, the priority may be divided into three levels, it is understood that a person skilled in the art may determine the number of levels of the priority according to actual application requirements, and the number of levels of the priority may be equal to 2 or greater than 2.

In table 2, the levels of the first threshold, the second threshold and the third threshold with priority correspond to the limits of the first matching degree, and it can be understood that those skilled in the art may determine the first threshold, the second threshold and the third threshold according to practical application requirements, and the embodiments of the present application do not limit specific first threshold, second threshold and third threshold.

TABLE 2

In an optional embodiment of the present application, step 403 may specifically include processing the first information according to a processing manner corresponding to the first information:

displaying first information corresponding to the first priority under a first-level information interface; or alternatively

And displaying the first information corresponding to the second priority on a second-level information interface.

The information interface is used for displaying information, and objects such as a short message application program, an instant messaging application program, a notification center and the like can all comprise the information interface. The first level information interface may refer to a first level interface after entering the object; the second-level information interface is linked to the first-level information interface, can jump from the first-level information interface to the second-level information interface in response to a clicking operation of a user, or can return from the second-level information interface to the first-level information interface in response to a returning operation of the user; therefore, the convenience of the first-level information interface is better than that of the second-level information interface, and the user accessibility of the information displayed on the first-level information interface is better than that of the information displayed on the second-level information interface.

The object may be a process, a thread, or a service (service) in an operating system, among others. The service is a component of an operating system (such as android), and is used for processing some time-consuming logic in the background, or executing some tasks needing to run for a long time, and even can keep the service in a running state in the background under the condition that a program exits. For example, the object may be a service of an operating system.

The notification is a notification with global effect, which is shown at the top of the screen. The notification center may display information of any information source so that the user knows the latest dynamics by looking at the information.

According to the method and the device for displaying the first information corresponding to the second priority under the second-level information interface, interference of the first information with lower priority to the user can be reduced.

In one application example of the present application, the first level information interface may include: in this case, if a trigger operation for the entry is received, the second level information interface may be skipped to, and the first information corresponding to the second priority may be displayed through the second level information interface.

In an optional embodiment of the present application, step 403 may specifically include processing the first information according to a processing manner corresponding to the first information: and filtering the first information with the priority lower than the second priority. For the first information with a lower priority than the second information, it can be considered as useless information for the user, so that it can be filtered out and not displayed.

In an alternative embodiment of the present application, the processing manner may include: pushing time;

the push time may include: the first pushing time can be earlier than the second pushing time, and the first matching degree corresponding to the first pushing time can be higher than the first matching degree corresponding to the second pushing time.

In an alternative embodiment of the present application, the processing manner may include: whether pushing is waiting or not;

if the first matching degree corresponding to the first information exceeds a matching degree threshold, the processing mode corresponding to the first information is not push waiting; or alternatively

If the first matching degree corresponding to the first information does not exceed the matching degree threshold, the processing mode corresponding to the first information is push waiting.

In this embodiment of the present application, optionally, the user corresponds to the first attribute or corresponds to the second attribute, where an association relationship exists between the first attribute and the second attribute; and the user condition corresponding to the first information is matched with the first attribute.

In this embodiment of the present application, optionally, the scene may include at least one of the following scenes: point of interest scenes, device status scenes, and mode scenes.

In an alternative embodiment of the present application, the method of the embodiment of the present application may further include: and reporting the user data to a server. The reported user data can enable the server to determine the attribute of the user, such as scene attribute or preference attribute. The reported user data can also be used as the determination basis of target information pushed to the user by the server.

In summary, according to the data processing method of the embodiment of the application, the user feedback data of the historical information can represent the preference attribute of the user to a certain extent. In the process of determining the processing mode corresponding to the first information, the feedback data of the user to the historical information is adopted, so that the processing mode corresponding to the first information is matched with the preference attribute of the user, and the accuracy and the rationality of the processing mode are improved.

On the basis of improving the accuracy and the rationality of the processing mode, the interference of first information which is not matched with the preference attribute of the user or is not matched with the real-time scene of the user on the user can be reduced.

With reference to FIG. 5, an exemplary block diagram of a data processing system of the present application is shown, which may include in particular: the server 501 and the client 502 are connected through a push channel 503.

Wherein, the server 501 may include: a management module 511, a user orientation module 512, and an information determination module 513;

the management module 512 may face the customer of the service operator, and may provide an interface, so that the customer may implement setting of tasks and setting of information corresponding to user conditions through the interface; wherein, a task may refer to a push task, for example, one task may correspond to at least one piece of information, where multiple pieces of information corresponding to the task may characterize multiple creatives corresponding to the task, and so on.

The information of the task may include, but is not limited to: task ID, circled group, sending mechanism, price information, information content, etc.

The management module 511 may include, but is not limited to, the following:

a rights management module 5111;

task management module 5112;

a crowd orientation module 5113; and

a report module 5114;

the rights management module 5111 is configured to manage client rights, and the scope of the client rights may include: the access range of the information template, the access range of the user group, the setting range of the task state and the like.

The task management module 5112 can allow a customer to create tasks, as well as set information for tasks.

Specifically, the client can be allowed to customize the ring-shaped mode, select the information template, set the information content and the sending mechanism of the information content through the provided interface; recharging is realized, and bidding is carried out on the task; checking the task state, the effect of the task, the price of the task and the like of the user; the task price may refer to the product of the unit price of one piece of information of a pushed task and the actual pushed number of tasks.

The crowd direction module 5113 can receive user conditions set by a user. Specifically, the provided setting interface may include: user attribute fields and relationship fields, such that user conditions may be generated based on the settings for the user attribute fields and relationship fields. Alternatively, the user condition may be characterized by a disjunctive paradigm.

It will be appreciated that the above user conditions are merely alternative embodiments, and indeed, embodiments of the present application may allow customers to make demographic delineations without user conditions.

The report module 5114 can dynamically display information of tasks and push information of tasks in a form, a chart and the like.

The management module 511 passes what user information a task is delineating to the user orientation module 512 via the disjunctive paradigm; the user orientation module 512 parses the disjunctive paradigm, and, based on the attributes of the user, the user is selected, i.e., the user group satisfying the user condition of one task is determined, i.e., one task may correspond to one user group.

The information determining module 513 is configured to determine target information corresponding to a user.

The information determination module 513 may further include: a rule filtering module 5131, a model module 5132, a ranking module 5133, a quota optimizing module 5134, and a triggering module 5135.

In practical applications, the task information may be synchronized to the data platform at regular time, and the user's attributes, user data, and scene data may be imported into the data platform. In determining the user attribute table, blacklisted users may be filtered out. The specific flow of determining the target information corresponding to one user is as follows:

1) The task information specifically includes: task ID, circled crowd, sending mechanism, price information, information content, etc.;

2) The user attribute table includes: scene attributes, preference attributes, static attributes, etc. of the user;

3) For one UID, based on the matching between the user condition and the first attribute of the user, determining an alternative task meeting the UID, filtering the information received by the user in a preset time period from the information corresponding to the alternative task, and finally obtaining the alternative information corresponding to the user.

The rule filtering module 5131 may be configured to filter the information corresponding to the candidate task by using a filtering rule, so as to obtain candidate information corresponding to a user.

It should be noted that, since one task may have a plurality of originals, one task may correspond to a plurality of pieces of information, and in this case, information that is most matched with the user may be determined from the plurality of pieces of information corresponding to one task.

4) The data of the user sample may contain the following training features: the model module 5132 may extract the training features from the data of the user sample, and train the first model according to the training features, where the attributes of the user sample, the features of the second information, and the transformation behavior features (such as clicking behavior, purchasing behavior, registering behavior, collecting behavior, etc.) of the user on the second information. The model module 5132 can also input features of the user data and the alternative information into the first model to obtain a degree of matching of the first model output.

5) If the matching degree is smaller than the threshold value, the alternative information can be filtered; if the matching degree exceeds the threshold, the ranking module 5133 may rank the candidate information according to the matching degree and the price of one piece of information, so as to obtain a ranking result;

6) The quota optimization module 5134 performs optimization of the push quota, specifically, constraint conditions can be obtained according to the planned push quantity of information in the information set and the push quota of the user in the user set, under the constraint conditions, information of top M different tasks is preferentially selected for one user, and M is a natural number.

7) For example, the target information corresponding to one user may be: UID-task1task2task3.

8) And sending the target information to the system channel through the information middleware. The information middleware can provide high-efficiency and flexible synchronous and asynchronous transmission processing, store and forward and reliable transmission for the application system. And the information is ensured to be safely, reliably and efficiently delivered in a large-scale distributed environment. The embodiment of the application does not limit specific information middleware.

The trigger module 5135 may be configured to send the target information if the trigger condition is met. The triggering condition may be: the set date arrives, or the user is in the scene corresponding to the target information, etc.

The push channel 503 may include: the push channel 503 can be always activated in the device by one server and one client, so that the push arrival rate can be improved.

Client 502 may be located in the context of an object such as a notification center.

The client 502 may have the following functions:

and collecting feedback data of the user on the second information in real time, and reporting the feedback data to the server 501.

Collecting user data, and identifying partial scenes of the user data, such as going home, running, getting up and the like; the user data and the scene data are reported to the server 501.

Determining a processing mode corresponding to the first information according to feedback data of a user on the historical information and/or a scene corresponding to the user; and processing the first information according to the processing mode corresponding to the first information.

Optionally, according to feedback data of the user on the historical information and/or a scene corresponding to the user, determining a first matching degree between the received first information and the user, and determining the priority of the first information according to the first matching degree. If the first matching degree is lower, the first information is considered to be the information with little interest of the user, and the first information is displayed in the catalog of more information, so that the interference of the information with little interest of the user to the user can be reduced, and the user experience of the user is improved.

Method example IV

Referring to fig. 6, a flowchart illustrating steps of a fourth embodiment of a data processing method of the present application may specifically include the following steps:

step 601, acquiring data of a plurality of terminals, where the data may include: feedback data of the user;

step 602, determining target information according to feedback data of the user;

and 603, pushing the target information to the target terminal according to the scene of the target terminal.

In step 601, the server may collect data of a plurality of clients, and may obtain data of a plurality of terminals since the clients are running on the terminals.

The data may include: feedback data of the user. The feedback data may refer to feedback data of the user on the information, such as whether the user views the information, clicks the information, performs purchasing behavior, registering behavior, collecting behavior, and the like after clicking the information. The information may include: pushing information, or, the information may include: information actively obtained by a user, such as information obtained by searching, open page information and the like.

In step 602, target information is determined according to the feedback data of the user. Since the feedback data may characterize the preference properties of the user to some extent. According to the method and the device for determining the target information, the feedback data of the user are adopted in the process of determining the target information, so that the target information is matched with the preference attribute of the user, the interest degree of the user on the target information can be improved, the disturbance of the target information on the user is reduced, and the information pushing effect can be improved.

In step 603, the target information may correspond to a scene condition, and the scene condition corresponding to the target information may be matched with the scene of the target terminal.

Optionally, the scene corresponding to the target terminal and the scene condition corresponding to the target information may be matched, and if the matching is successful, the target information may be pushed to the target terminal.

For example, the scene condition of the "fueling offer information" is in the "fueling station scene", and the feedback data of the target terminal corresponding to the user includes "fueling at the fueling station", and the scene of the target terminal is the "fueling station scene", so that the "fueling offer information" can be pushed to the target terminal in the case where the target terminal is in the "fueling station scene".

For another example, the scene condition of the "news of category B" is in the "get up scene", and the feedback data of the target terminal corresponding to the user includes "watch news of category B after getting up in the morning", and the scene of the target terminal is the "get up scene", so that the "news of category B" can be pushed to the target terminal.

For another example, the scene condition of the "information of the game POI" is that the "distance from the game POI is within 5 km", the feedback data of the user corresponding to the target terminal includes "like the game", and the scene of the target terminal is that the "distance from the game POI is within 5 km", so that the "information of the game POI" can be pushed to the target terminal.

In summary, according to the data processing method of the embodiment of the present application, the preference attribute of the user can be represented to a certain extent due to the feedback data. According to the method and the device for determining the target information, the feedback data of the user are adopted in the process of determining the target information, so that the target information is matched with the preference attribute of the user, the interest degree of the user on the target information can be improved, the disturbance of the target information on the user is reduced, and the information pushing effect can be improved.

In addition, according to the embodiment of the application, the target information is pushed to the target terminal according to the scene of the target terminal, and the scene can reflect more accurate user requirements, so that the target information can be more in line with the user requirements corresponding to the scene, and the information pushing effect can be improved.

It should be noted that, for simplicity of description, the method embodiments are shown as a series of acts, but it should be understood by those skilled in the art that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently in accordance with the embodiments. Further, those skilled in the art will appreciate that the embodiments described in the specification are all preferred embodiments and that the acts referred to are not necessarily required by the embodiments of the present application.

The embodiment of the application also provides a data processing device.

Referring to FIG. 7, a block diagram illustrating an embodiment of a data processing apparatus of the present application may include the following modules:

a first information determining module 701, configured to determine first information according to user data of at least one user corresponding to the first attribute and/or a scene corresponding to the target user; the user data may include: feedback data of the user to the second information; and

a target information pushing module 702, configured to push target information to the target user, where the target information is all or part of the first information, or an association exists between the target information and the first information;

the target user corresponds to the first attribute or corresponds to the second attribute, an association relationship exists between the first attribute and the second attribute, and the target user can comprise at least one user.

Optionally, the user condition corresponding to the first information is matched with the first attribute; and/or

The scene condition corresponding to the first information is matched with the scene of the target user; and/or

And the information characteristics corresponding to the first information are matched with the feedback data of the second information of the user.

Alternatively, the first information determining module 701 may include:

the first determining submodule is used for determining preference attributes of at least one user corresponding to the first attribute according to feedback data of the at least one user for the second information;

and the second determining submodule is used for determining the first information according to the preference attribute of the at least one user and the information characteristic corresponding to the information.

Alternatively, the first information determining module 701 may include:

and the third determining submodule is used for determining the first information according to the matching information between the scene corresponding to the target user corresponding to the first attribute and the scene condition corresponding to the information.

Alternatively, the first information determining module 701 may include:

a fourth determining submodule, configured to determine a degree of matching between the user and the information according to feedback data of at least one user corresponding to the first attribute for the second information and/or a scene of the target user;

and a fifth determining sub-module, configured to determine the first information according to the degree of matching between the user and the information.

Optionally, the fifth determining sub-module may include:

the ordering determining unit is used for ordering the information according to the matching degree between the user and the information and the price corresponding to the information, and determining first information from the information according to the obtained ordering result; or alternatively

The quota determining unit is used for determining first information corresponding to the user in the user set from the information set according to the matching degree between the user and the information, the planned pushing quantity of the information in the information set and the pushing quota of the user in the user set.

Alternatively, the user condition may correspond to a logical expression for characterizing a logical relationship between at least two types of user information.

Optionally, the logic expression may include: disjunctive normal forms, or conjunctive normal forms.

Optionally, the first attribute may include at least one of the following attributes:

preference attributes and static attributes.

Optionally, the scene may include at least one of the following:

point of interest scenes, device status scenes, and mode scenes.

In summary, the data processing device in the embodiment of the present application adopts the first attribute in the process of determining the first information, where the first attribute may refer to an attribute of a user, so that the first information may be matched with the target user, so that the interest degree of the target user on the target information may be improved, the disturbance of the target information on the user may be reduced, and further the information pushing effect may be improved.

With reference to fig. 8, a block diagram of an embodiment of a data processing apparatus of the present application is shown, and may specifically include the following modules:

An information receiving module 801 for receiving first information;

a processing mode determining module 802, configured to determine a processing mode corresponding to the first information according to feedback data of the user on the history information and/or a scene corresponding to the user; and

and the information processing module 803 is configured to process the first information according to a processing manner corresponding to the first information.

Optionally, the processing manner may include: at least one of priority, push time, and whether to push a wait.

Optionally, the processing manner determining module 802 may include:

the first matching degree determining submodule is used for determining the first matching degree between the user and the first information according to feedback data of the user on the historical information and/or a scene corresponding to the user; and

and the processing mode determining submodule is used for determining the processing mode corresponding to the first information according to the first matching degree.

Optionally, the processing manner may include: a priority;

the priority may include: the system comprises a first priority and a second priority, wherein the first priority is higher than the second priority, and a first matching degree corresponding to the first priority is higher than a first matching degree corresponding to the second priority.

Alternatively, the information processing module 803 may include:

the first information processing sub-module is used for displaying first information corresponding to the first priority under a first-level information interface; or alternatively

And the second information processing sub-module is used for displaying the first information corresponding to the second priority under a second-level information interface.

Alternatively, the information processing module 803 may include:

and the filtering sub-module is used for filtering the first information with the priority lower than the second priority.

Optionally, the processing manner may include: pushing time;

the push time may include: the device comprises a first pushing time and a second pushing time, wherein the first pushing time is earlier than the second pushing time, and a first matching degree corresponding to the first pushing time is higher than a first matching degree corresponding to the second pushing time.

Optionally, the processing manner may include: whether pushing is waiting or not;

Optionally, the user corresponds to the first attribute or corresponds to the second attribute, and an association relationship exists between the first attribute and the second attribute;

and the user condition corresponding to the first information is matched with the first attribute.

Optionally, the scene may include at least one of the following:

point of interest scenes, device status scenes, and mode scenes.

In summary, according to the data processing device of the embodiment of the present application, the user feedback data of the history information may represent the preference attribute of the user to a certain extent. In the process of determining the processing mode corresponding to the first information, the feedback data of the user to the historical information is adopted, so that the processing mode corresponding to the first information is matched with the preference attribute of the user, and the accuracy and the rationality of the processing mode are improved.

Embodiments of the present application may be implemented as a system or apparatus configured as desired using any suitable hardware and/or software. Fig. 9 schematically illustrates an example apparatus 1300 that may be used to implement various embodiments described herein.

For one embodiment, fig. 9 illustrates an exemplary apparatus 1300, the apparatus 1300 may include: one or more processors 1302, a system control module (chipset) 1304 coupled to at least one of the processors 1302, a system memory 1306 coupled to the system control module 1304, a non-volatile memory (NVM)/storage 1308 coupled to the system control module 1304, one or more input/output devices 1310 coupled to the system control module 1304, and a network interface 1312 coupled to the system control module 1306. The system memory 1306 may include: instructions 1372, the instructions 1372 being executable by the one or more processors 1302.

The processor 1302 may include one or more single-core or multi-core processors, and the processor 1302 may include any combination of general-purpose or special-purpose processors (e.g., graphics processors, application processors, baseband processors, etc.). In some embodiments, the apparatus 1300 can be implemented as a server, a target device, a wireless device, etc., as described in embodiments of the present application.

In some embodiments, the apparatus 1300 may include one or more machine-readable media (e.g., system memory 1306 or NVM/storage 1308) having instructions and one or more processors 1302, in combination with the one or more machine-readable media, configured to execute the instructions to implement the modules included in the foregoing apparatus to perform the actions described in the embodiments of the present application.

The system control module 1304 of an embodiment may include any suitable interface controller for providing any suitable interface to at least one of the processors 1302 and/or any suitable device or component in communication with the system control module 1304.

The system control module 1304 of an embodiment may include one or more memory controllers to provide an interface to the system memory 1306. The memory controller may be a hardware module, a software module, and/or a firmware module.

The system memory 1306 of one embodiment may be used to load and store data and/or instructions 1372. For one embodiment, the system memory 1306 may include any suitable volatile memory, such as suitable DRAM (dynamic random Access memory). In some embodiments, the system memory 1306 may include: double data rate type four synchronous dynamic random access memory (DDR 4 SDRAM).

The system control module 1304 of an embodiment may include one or more input/output controllers to provide interfaces to the NVM/storage 1308 and the input/output device(s) 1310.

NVM/storage 1308 for one embodiment may be used to store data and/or instructions 1382. NVM/storage 1308 may include any suitable nonvolatile memory (e.g., flash memory, etc.) and/or may include any suitable nonvolatile storage device(s), such as, for example, one or more Hard Disk Drives (HDDs), one or more Compact Disc (CD) drives, and/or one or more Digital Versatile Disc (DVD) drives, etc.

NVM/storage 1308 may include storage resources that are physically part of the device on which device 1300 is installed, or which may be accessed by the device without being part of the device. For example, NVM/storage 1308 may be accessed over a network via network interface 1312 and/or through input/output devices 1310.

Input/output device(s) 1310 for one embodiment may provide an interface for apparatus 1300 to communicate with any other suitable device, input/output device 1310 may include a communication component, an audio component, a sensor component, and the like.

The network interface 1312 for one embodiment may provide an interface for the device 1300 to communicate over one or more networks and/or with any other suitable device, and the device 1300 may wirelessly communicate with one or more components of a wireless network according to any of one or more wireless network standards and/or protocols, such as accessing a wireless network based on a communication standard, such as WiFi,2G, or 3G, or a combination thereof.

For one embodiment, at least one of the processors 1302 may be packaged together with logic of one or more controllers (e.g., memory controllers) of the system control module 1304. For one embodiment, at least one of the processors 1302 may be packaged together with logic of one or more controllers of the system control module 1304 to form a System In Package (SiP). For one embodiment, at least one of the processors 1302 may be integrated on the same new product as the logic of one or more controllers of the system control module 1304. For one embodiment, at least one of the processors 1302 may be integrated on the same chip with logic of one or more controllers of the system control module 1304 to form a system on chip (SoC).

In various embodiments, apparatus 1300 may include, but is not limited to: a desktop computing device or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet, a netbook, etc.), among others. In various embodiments, the apparatus 1300 may have more or fewer components and/or different architectures. For example, in some embodiments, apparatus 1300 may include one or more cameras, keyboards, liquid Crystal Display (LCD) screens (including touch screen displays), non-volatile memory ports, multiple antennas, graphics chips, application Specific Integrated Circuits (ASICs), and speakers.

Wherein if the display comprises a touch panel, the display screen may be implemented as a touch screen display to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may sense not only the boundary of a touch or slide action, but also the duration and pressure associated with the touch or slide operation.

The embodiment of the application also provides a non-volatile readable storage medium, where one or more modules (programs) are stored, where the one or more modules are applied to an apparatus, and the apparatus may be caused to execute instructions (instructions) of each method in the embodiment of the application.

In one example, an apparatus is provided, comprising: one or more processors; and instructions in one or more machine-readable media stored thereon, which when executed by the one or more processors, cause the apparatus to perform a method as in an embodiment of the present application, the method may comprise: the method shown in fig. 2 or fig. 3 or fig. 4 or fig. 6.

One or more machine-readable media are also provided in one example, having instructions stored thereon that, when executed by one or more processors, cause an apparatus to perform a method as in an embodiment of the present application, the method may comprise: the method shown in fig. 2 or fig. 3 or fig. 4 or fig. 6.

The specific manner in which the operations of the respective modules are performed in the apparatus of the above embodiments has been described in detail in the embodiments related to the method, and will not be described in detail herein, but only with reference to the portions of the description related to the embodiments of the method.

In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described by differences from other embodiments, and identical and similar parts between the embodiments are all enough to be referred to each other.

Embodiments of the present application are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

While preferred embodiments of the present embodiments have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. It is therefore intended that the following claims be interpreted as including the preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the present application.

Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The foregoing has outlined rather broadly the principles and embodiments of the present application in order that the detailed description of a data processing method, a data processing apparatus, an apparatus, and a machine readable medium that are provided herein; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims

1. The data processing method is characterized by being applied to a server and comprising the following steps:

determining first information according to user data of at least one user corresponding to the first attribute and/or scenes corresponding to the target user; the user data includes: feedback data of the user to the second information; determining first information corresponding to a user in a user set from the information set according to the matching degree between the user and the information, the planned pushing quantity of the information in the information set and the pushing quota of the user in the user set; the planned pushing quantity refers to the number of times that an information plan is pushed, and the pushing quota refers to the information quantity that a user is pushed;

pushing target information to a client corresponding to the target user, wherein the target information is all or part of the first information, or the target information has an association relationship with the first information; a plurality of target information corresponding to one target user corresponds to different pushing tasks;

the target user corresponds to the first attribute or corresponds to the second attribute, the first attribute and the second attribute have an association relationship, and the target user comprises at least one user; the client determines a processing mode corresponding to the first information according to feedback data of the user on the historical information and/or a scene corresponding to the user; processing the first information according to a processing mode corresponding to the first information; the processing mode comprises the following steps: the priority, the first information corresponding to the first priority is displayed under the first-level information interface; displaying the first information corresponding to the second priority under a second-level information interface; the first matching degree corresponding to the first priority is higher than the first matching degree corresponding to the second priority; the first-level information interface comprises: an entry corresponding to the second level information interface; the first matching degree corresponding to the first priority is higher than the first matching degree corresponding to the second priority.

2. The method of claim 1, wherein the user condition corresponding to the first information matches the first attribute; and/or

3. The method of claim 1, wherein the determining the first information comprises:

determining preference attributes of at least one user corresponding to the first attribute according to feedback data of the at least one user for the second information;

and determining first information according to the preference attribute of the at least one user and the information characteristics corresponding to the information.

4. The method of claim 1, wherein the determining the first information comprises:

and determining the first information according to the matching information between the scene corresponding to the target user corresponding to the first attribute and the scene condition corresponding to the information.

5. The method of claim 1, wherein the determining the first information comprises:

6. The method of claim 5, wherein determining the first information based on the degree of matching between the user and the information comprises:

and ordering the information according to the matching degree between the user and the information and the price corresponding to the information, and determining the first information from the information according to the obtained ordering result.

7. The method of claim 2, wherein the user condition corresponds to a logical expression characterizing a logical relationship between at least two types of user information.

8. The method of claim 7, wherein the logical expression comprises: disjunctive normal forms, or conjunctive normal forms.

9. The method of any one of claims 1 to 8, wherein the first attribute comprises at least one of:

preference attributes and static attributes.

10. The method according to any one of claims 1 to 8, wherein the scene comprises at least one of the following:

point of interest scenes, device status scenes, and mode scenes.

11. A data processing method, applied to a client, comprising:

receiving first information; the plurality of first information corresponds to different pushing tasks;

processing the first information according to a processing mode corresponding to the first information; the processing mode comprises the following steps: the priority, the first information corresponding to the first priority is displayed under the first-level information interface; displaying the first information corresponding to the second priority under a second-level information interface; the first matching degree corresponding to the first priority is higher than the first matching degree corresponding to the second priority; the first-level information interface comprises: an entry corresponding to the second level information interface; the first matching degree corresponding to the first priority is higher than the first matching degree corresponding to the second priority; determining first information corresponding to a user in a user set from the information set according to the matching degree between the user and the information, the planned pushing quantity of the information in the information set and the pushing quota of the user in the user set; the planned pushing quantity refers to the number of times that an information plan is pushed, and the pushing quota refers to the amount of information pushed by a user.

12. The method of claim 11, wherein the processing means further comprises: at least one of push time, and whether to push wait.

13. The method of claim 11, wherein the determining the processing manner corresponding to the first information includes:

determining a first matching degree between the user and the first information according to feedback data of the user on the historical information and/or a scene corresponding to the user;

and determining a processing mode corresponding to the first information according to the first matching degree.

14. The method of claim 11, wherein the processing the first information according to the processing manner corresponding to the first information includes:

and filtering the first information with the priority lower than the second priority.

15. The method of claim 13, wherein the processing means comprises: pushing time;

the push time includes: the device comprises a first pushing time and a second pushing time, wherein the first pushing time is earlier than the second pushing time, and a first matching degree corresponding to the first pushing time is higher than a first matching degree corresponding to the second pushing time.

16. The method of claim 13, wherein the processing means comprises: whether pushing is waiting or not;

17. The method according to any one of claims 11 to 16, wherein the user corresponds to a first attribute or to a second attribute, and the first attribute and the second attribute have an association relationship;

18. The method according to any one of claims 11 to 16, wherein the scene comprises at least one of the following:

point of interest scenes, device status scenes, and mode scenes.

19. A data processing apparatus, for application to a server, comprising:

the first information determining module is used for determining first information according to user data of at least one user corresponding to the first attribute and/or a scene corresponding to a target user; the user data includes: feedback data of the user to the second information; determining first information corresponding to a user in a user set from the information set according to the matching degree between the user and the information, the planned pushing quantity of the information in the information set and the pushing quota of the user in the user set; the planned pushing quantity refers to the number of times that an information plan is pushed, and the pushing quota refers to the information quantity that a user is pushed; and

The target information pushing module is used for pushing target information to a client corresponding to the target user, wherein the target information is all or part of the first information, or the target information and the first information have an association relation; a plurality of target information corresponding to one target user corresponds to different pushing tasks;

20. The apparatus of claim 19, wherein the user condition corresponding to the first information matches the first attribute; and/or

21. The apparatus of claim 19, wherein the first information determination module comprises:

22. The apparatus of claim 19, wherein the first information determination module comprises:

23. The apparatus of claim 19, wherein the first information determination module comprises:

24. The apparatus of claim 23, wherein the fifth determination submodule comprises:

25. A data processing apparatus, for application to a client, comprising:

the information receiving module is used for receiving the first information; the plurality of first information corresponds to different pushing tasks;

The processing mode determining module is used for determining a processing mode corresponding to the first information according to feedback data of the user on the historical information and/or a scene corresponding to the user; determining first information corresponding to a user in a user set from the information set according to the matching degree between the user and the information, the planned pushing quantity of the information in the information set and the pushing quota of the user in the user set; the planned pushing quantity refers to the number of times that an information plan is pushed, and the pushing quota refers to the information quantity that a user is pushed; and

the information processing module is used for processing the first information according to a processing mode corresponding to the first information; the processing mode comprises the following steps: the priority, the first information corresponding to the first priority is displayed under the first-level information interface; displaying the first information corresponding to the second priority under a second-level information interface; the first matching degree corresponding to the first priority is higher than the first matching degree corresponding to the second priority; the first-level information interface comprises: an entry corresponding to the second level information interface; the first matching degree corresponding to the first priority is higher than the first matching degree corresponding to the second priority.

26. The apparatus of claim 25, wherein the processing means comprises: at least one of priority, push time, and whether to push a wait.

27. The apparatus of claim 25, wherein the means for processing mode determination comprises:

28. The apparatus of claim 25, wherein the information processing module comprises:

29. The apparatus of claim 25, wherein the processing means comprises: pushing time;

30. The apparatus of claim 25, wherein the processing means comprises: whether pushing is waiting or not;

31. An apparatus, comprising:

one or more processors; and

one or more machine-readable media having instructions stored thereon, which when executed by the one or more processors, cause the apparatus to perform the method of one or more of claims 1-10.

32. One or more machine readable media having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform the method of one or more of claims 1-10.

33. An apparatus, comprising:

one or more processors; and

one or more machine-readable media having instructions stored thereon, which when executed by the one or more processors, cause the apparatus to perform the method of one or more of claims 11-18.

34. A machine readable medium having instructions stored thereon, which when executed by one or more processors, cause an apparatus to perform the method of one or more of claims 11-18.

35. A method of data processing, comprising:

determining target information according to the feedback data of the user; a plurality of target information of one user corresponds to different pushing tasks;

pushing the target information to the target terminal according to the scene of the target terminal; the target terminal determines a processing mode corresponding to the first information according to feedback data of the user on the historical information and/or a scene corresponding to the user; processing the first information according to a processing mode corresponding to the first information; the processing mode comprises the following steps: the priority, the first information corresponding to the first priority is displayed under the first-level information interface; displaying the first information corresponding to the second priority under a second-level information interface; the first matching degree corresponding to the first priority is higher than the first matching degree corresponding to the second priority; the first-level information interface comprises: an entry corresponding to the second level information interface; the first matching degree corresponding to the first priority is higher than the first matching degree corresponding to the second priority; determining first information corresponding to a user in a user set from the information set according to the matching degree between the user and the information, the planned pushing quantity of the information in the information set and the pushing quota of the user in the user set; the planned pushing quantity refers to the number of times that an information plan is pushed, and the pushing quota refers to the amount of information pushed by a user.