CN110866178A

CN110866178A - Data processing method, device and machine readable medium

Info

Publication number: CN110866178A
Application number: CN201810982075.2A
Authority: CN
Inventors: 陈华良
Original assignee: Alibaba Group Holding Ltd
Current assignee: Banma Zhixing Network Hongkong Co Ltd
Priority date: 2018-08-27
Filing date: 2018-08-27
Publication date: 2020-03-06
Anticipated expiration: 2038-08-27
Also published as: CN110866178B

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 a scene corresponding to a target user; the user data includes: feedback data of the user on 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 and the first information have an association relation; 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. According to the embodiment of the application, 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 technologies, 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 becomes one of the key technologies reaching users. The information push 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 push technology actively pushes information to the user, so that the time spent by the user in searching on the network can be reduced.

Currently, a user group corresponding to a certain piece of information may be determined, and the information may be 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: male, age 20-40 years old, 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 uninteresting information, and further causes the information pushing effect to be poor; moreover, the pushed information includes a large amount of information which is not desired by the user, which results in a poor information pushing effect when a large amount of resources (network resources and human resources) are consumed, and thus, 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, and further can improve the information pushing effect and 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 ensuring the realization and the application of the method.

In order to solve the above problem, 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 a scene corresponding to a target user; the user data includes: feedback data of the user on 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 and the first information have an association relation;

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.

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 a processing mode corresponding to the first information.

On the other hand, the embodiment of the present application further discloses a data processing apparatus, including:

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 on 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 first information;

the processing mode determining module is used for 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

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

In 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 that, when executed by the one or more processors, cause the apparatus to perform one or more of the methods described above.

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

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

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:

the first attribute is adopted in the process of determining the first information, and the first attribute can refer to the attribute of the user, so that the first information can be 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.

The feedback data of the user to the second information may characterize the preference attribute of the user to a certain extent. According to the method and the device, the feedback data of the user to the second information is adopted in the process of determining the first information and the target user, so that the first information is matched with the preference attribute of the target user, the interest degree of the target user to the target information can be improved, the disturbance of the target information to the user is reduced, and the information pushing effect can be improved.

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 the relatively 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 for the target information can be improved, the disturbance of the target information to the user is reduced, and the information pushing effect can be improved.

In addition, the method and the device for pushing the target information can improve the interest degree of the user for the target information, so that a better information pushing effect can be obtained under the condition of consuming a small amount of resources, and the utilization rate of the resources can be improved.

Drawings

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

FIG. 2 is a flow chart of steps of a first embodiment of a data processing method of 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 of the steps of a third embodiment of a data processing method of the present application;

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

FIG. 6 is a flowchart illustrating the fourth step of an 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 to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments that can be derived from the embodiments given herein by a person of ordinary skill in the art are intended to be within the scope of the present disclosure.

While 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 above is not intended to limit the application to the particular forms disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the application.

Reference in the specification to "one embodiment," "an embodiment," "a particular embodiment," or the like, means that the embodiment described may include a particular feature, structure, or characteristic, 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 knowledge of one skilled in the art to affect such feature, structure, or characteristic in connection with other embodiments whether or not explicitly described. In addition, it should be understood that items in the list included in the form "at least one of a, B, and C" may include the following possible items: (A) (ii) a (B) (ii) a (C) (ii) a (A and B); (A and C); (B and C); or (A, B and C). Likewise, a listing of items in the form of "at least one of a, B, or C" may mean (a); (B) (ii) a (C) (ii) a (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 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., a volatile or non-volatile memory, a media disk, 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 methodical 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 different ways and/or orders than as shown in the figures. Moreover, the inclusion of structural or methodical features in particular figures is not meant to imply that such features are required in all embodiments and that, in some embodiments, such features may not be included or may be combined with other features.

An embodiment of the present application provides a data processing method, which may include: 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 on the second information; pushing target information to the target user, where the target information may be all or part of the first information, or the target information may have an association relationship with the first information; the target user may correspond to the first attribute or the second attribute, an association relationship may exist between the first attribute and the second attribute, and the target user may include at least one user.

In this embodiment, the first attribute may refer to an attribute that the user has. According to the embodiment of the application, 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 this embodiment, the user data may include: and feedback data of the user on the second information. The second information may refer to history information, and the second information may include: and the information of the user is reached through an information push technology. The feedback data of the user to the second information may include: whether the user has viewed the second information, whether the user has clicked the second information, whether a purchase action, a registration action, a collection action, etc. is performed after clicking the second information. In this embodiment of the application, clicking the second information may refer to clicking a link corresponding to the second information to jump to a page corresponding to the second information. For example, when the second information corresponds to a commodity, clicking the second information can jump to a detailed page of the commodity; for another example, in a case that the second information corresponds to an article, clicking the second information may open the article, that is, may display the content of the article.

For example, the user a does not view any second information, and may consider that the user a is relatively dislike the second information, and may not provide the second information to the user a. Or, the user B views the second information a but does not click on the second information a, and the user may be considered to be not interested in the second information a or the type corresponding to the second information a. For another example, when the user C views and clicks the second information a, the user may be considered to be interested in the second information a or the type corresponding to the second information a.

In the embodiment of the present application, a scene is a term of art in the film and television industry, and refers to a living picture composed of a certain object (including people, animals, things, etc.) and activities of the object 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 is introduced by a service operator in order to meet specific needs of a class of users. For example, a user coming to the great shopping mall in Jingdong wants to buy an apple computer; or the user opens the WeChat to know the eight diagrams of the friend circle, and the like; or, the user comes to a gas station and needs to refuel; or, the user comes to the shop and needs to consume; or, the user comes to the scenic spot and needs to visit; alternatively, the user may be at home; or, the user is working in the unit; alternatively, the user is running or likes running; alternatively, the user gets up; the user powers on the device, etc., which are all scenes.

Scene data may refer to data (e.g., date, time, location, behavior, action, location, morphology, spatiotemporal elements, etc.) collected during use of a corresponding device relative to a user. Objects with which the device interacts may include, but are not limited to: other user devices (e.g., cell phones), peripheral devices such as bluetooth cell phones, keyboards, 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 a plurality of fields, such as any one or combination of a time field, a position field, and a device state (such as the speed of the vehicle). It can be understood that a service operator or a person skilled in the art may set any required scenario according to the actual application requirement, and the specific scenario and scenario model are not limited in the embodiment of the present application.

Because the scene can reflect the more accurate user requirements, the scene of the target user is considered in the process of determining the first information and the target user, and the association between the target information and the user requirements can be improved, so that the interest degree of the target user in the target information can be improved, the disturbance of the target information to 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., wherein the advertisements may be related to goods or services. The information pushing mode may include: short message, mail, pop-up, phone, etc. It can be understood that the embodiment of the present application does not impose a limitation on the specific type of information and the specific pushing manner.

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

Optionally, the client 100 may run on a device, for example, the client 100 may be an APP running on the device, such as a short message APP, an e-commerce APP, an instant messaging APP, an input method APP, or an APP carried by an operating system, and the specific APP corresponding to the client is not limited in this embodiment of the application. Optionally, the above-mentioned devices may specifically include but are not limited to: smart phones, tablet computers, electronic book readers, MP3 (Moving Picture Experts Group Audio Layer III) players, MP4 (Moving Picture Experts Group Audio Layer IV) players, laptop portable computers, car-mounted computers, desktop computers, set-top boxes, smart televisions, wearable devices, and the like. It is to be understood that the embodiments of the present application are not limited to the specific devices.

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

According to an embodiment, the client 100 may collect feedback data of the user on the second information, such as whether the user views the second information or clicks the second information, and report the feedback data to the server 200.

According to another embodiment, the client 100 may also determine the user's context data. The scene data may include: the obtained scenes are identified, such as scenes at home, running, getting up, at company, at scenic spots, at gas stations, and the like.

The scene data may further include: the device environment data and the scene environment data are used for detecting whether the device is in a scene, and specifically, whether the device is in the scene can be detected by judging whether the device environment data is matched with the scene environment data.

The device environment data may include: sensor data of a device corresponding to the user, or status data of a device corresponding to the user, and the like. Among other things, 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 of the applications on the device (such as alarm data), boot data of the device, shutdown data of the device, unlock data of the device, and the like.

The embodiment of the present application may provide an example of the following scenario:

examples 1, 1,

In example 1, the scenario may include: a POI (Point of Interest) scene, where scene environment data corresponding to the scene may include: location data corresponding to the points of interest.

Examples of POIs may include: home, organization, gas station, parking lot, shopping place, store, etc. The POI scene may be used to provide a service corresponding to the POI to the user in case the user arrives at the POI. The service may be: guide or preference information corresponding to the POI, and the like.

The location data corresponding to the points of interest may include: the mobile terminal comprises latitude and longitude data, base station data, WIFI data and the like, wherein the base station data can be base stations covered by the interest points, and the WIFI data can be WIFI used by the interest points.

Examples 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: vehicle overspeed, low vehicle fuel volume, etc. Taking the air conditioner, the purifier and other devices as examples, the device status scenario may include: device parameters within preset ranges, etc. The device state scene may be used to send a reminder to the user when the device is in a certain device state, so as to improve the user experience. For example, in the case where the vehicle is speeding, a warning is given to the user to avoid an accident or to be photographed, etc. For another example, in the case that the vehicle is low in fuel, a fuel filling reminder is sent to the user. For another example, in the case that the air parameter of the purifier indicates that the control quality is poor, a mode switching reminder 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 state data of the device may refer to state data of the device in a certain aspect, such as for a vehicle overspeed scene, the preset state data may include: an upper speed limit of the vehicle; for another example, for a low vehicle fuel scenario, the preset status data may include: a lower fuel limit of the vehicle; for another example, for a home device status scenario, the preset status data may include: preset state data of the household equipment and the like. It can be understood that the preset state data of the device is not limited in the embodiments of the present application.

Examples 3,

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

Taking a vehicle as an example, the mode scenario may include: in the route switching scenario, for example, when the navigation route selected by the user is congested, the navigation route is switched. Taking air conditioners, purifiers and other devices as examples, the mode scenarios may include: a mode switching scenario or the like, for example, in the case where the air parameters of the purifier indicate a poor control quality, a switching of the operation mode is performed, for example, switching the purifier from a first operation mode to a second operation mode, wherein the purification rate of the first operation mode is lower than the purification rate of the second operation mode, or the like.

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

The above describes the scene and the scene environment data corresponding to the scene in detail through examples 1 to 3, and it can be understood that a person skilled in the art may adopt any one or a combination of examples 1 to 3 or may also adopt other scenes according to practical application requirements, and the embodiment of the present application does not limit the specific scene and the specific scene environment data corresponding to the scene.

In an optional 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 corresponding to the scene and the scene environment data to the client 100. The client 100 may execute the scene detection code; detecting whether the equipment is in the scene or not according to scene environment data and equipment environment data in the execution process of the scene detection code; and the client 100 may obtain a scene according to an execution result corresponding to the scene detection code, and send the scene to the server 200.

Of course, the client 100 executes the scene detection code, which is only an alternative embodiment, and actually, the server 200 may execute the scene detection code, wherein in the execution process, whether the device is in the scene is detected 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, the user data may include, in addition to the feedback data and the scene data: behavior data of the user for non-second information, such as search behavior data, click behavior data, browse behavior data, and the like, may be used to determine preference attributes of the user.

In an embodiment of the present application, the server 200 may determine the first information according to the user data of the at least one user corresponding to the first attribute, and/or a scenario 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 according to the present application is shown, which may specifically include the following steps:

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

the target user may correspond to the first attribute or the second attribute, an association relationship may exist between the first attribute and the second attribute, 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 subject 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 input by a service operator. In particular, an input interface may be provided to enable a service operator to input information via the input interface. Optionally, an information template may also be provided to enable the service operator to input information via the input interface in accordance with the information template. It is to be understood that the embodiments of the present application are not limited to the specific sources of information, nor to the specific information. The information template may include: text, pictures, rich media, etc. The information entered by the service operator may be a source of the first information. Of course, the specific source of the first information is not limited in the embodiments of the present application. For convenience of description, the information set is used as a source of the first information in the embodiments of the present application, that is, the embodiments of the present application may obtain the first information from the information set.

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

The scene attribute may include a real-time scene where the user is located, such as the user running, the user just getting up, the user being at home, the user being in an entity, and the like. Alternatively, the scene attributes may include a user preferred scene, such as a user's liking to run, and the like.

Static attributes are relatively stable attributes such as the user's age, gender, geography, academic history, business, occupation, marital, consumption level, identity (e.g., dad, mom, etc.), and the like.

With respect to the relative stability of the static attributes described above, the scene attributes and preference attributes are typically dynamic, 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, saving 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, a user condition corresponding to the first information matches the first attribute.

The user condition may refer to a 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, so that a user group meeting the user condition of one information can be obtained.

The embodiment of the present application allows a customer of a service operator to set a user condition, and specifically, the provided setting interface may include: a user attribute field and a relationship field, so that a user condition can be generated according to the set contents for the user attribute field and the relationship field.

In the embodiment of the application, one user can be uniquely identified through User Identification (UID). Therefore, the embodiment of the application can obtain the set of UIDs meeting the user condition of one piece of information; alternatively, the embodiment of the present application may obtain at least one piece of first information matching one UID.

In an optional 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 kinds of user information. At least two kinds of user information are expressed by a connection symbol. The connection symbol may include: and, not, or etc.

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

Examples of disjunctive normal forms may include:

DNF1 (love Game ∩ 20-40 years old) ∪ (love music)

DNF2 (male 3 km nearby ∩) ∪ (female 5 km nearby ∩)

DNF3 (love Game ∩ male) ∪ (love music ∩ female) ∪ (nearby 3 km user)

Wherein, "∩" is an intersection symbol, and "∪" is a union symbol.

It should be understood that the disjunctive normal form or conjunctive normal form is only an alternative embodiment, and those skilled in the art may adopt other logic expressions, such as regular expressions, according to the actual application requirement, and the embodiment of the present application does not limit the specific logic expression.

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

Optionally, the step 201 of determining the first information may specifically include: and determining the first information according to 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 "gas station scene", and the scene of the target user is "gas 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 a "running scene", and the scene of the target user is a "running scene", so that "music a" can be pushed to the target user.

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

The information characteristic corresponding to the first information may include: the content of the first information, the 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, which may be set by a user, or the like.

In an optional embodiment of the present application, the determining the first information in step 201 may specifically include: determining the preference attribute of at least one user according to the feedback data of the at least one user corresponding to the first attribute on 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 that the user has focused on may be determined according to the feedback data of the at least one user corresponding to the first attribute for the second information, and the preference attribute may be determined according to the information characteristic of the target second information. The attention may include: viewing, clicking, purchasing, registering, collecting and the like, the preference attribute can be determined according to the information characteristics of the target second information concerned by the user. For example, a user has viewed entertainment news, and the user's preference attribute may be considered to include "entertainment news". As another example, the information that the user clicked on or purchased the pushed clothes a, the preference attribute of the user may be determined according to the information of the clothes related to the clothes a, and the like.

The first information can be determined according to the user data of the 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 the at least one user corresponding to the first attribute, and then the first information may be determined from the first candidate information according to the scene corresponding to the target user. Or, the second candidate information may be determined according to a scene corresponding to the target user, and then the first information may be determined from the second candidate information according to the user data of the at least one user corresponding to the first attribute.

In an optional embodiment of the present application, the determining the first information in step 201 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 on 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 for the information to a certain degree, and generally, the higher the matching degree between the user and the information is, the more the user is interested 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 for the target information can be improved, the disturbance of the target information to 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 mapping relation among the feedback data, the scene, the information and the matching degree.

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

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

TABLE 1

In table 1, examples of scenarios may include: the scene of filling station, scene of getting up, arriving unit scene, scene of running etc. above-mentioned scene can reflect comparatively accurate user's demand, consequently, the matching degree that obtains according to user's scene data can reflect the relation between information and the user demand, and then can improve the reasonable degree and the degree of accuracy of matching degree

In table 1, the feedback data of the user on the second information may include: after clicking or purchasing the information of the pushed clothes A, browsing the pushed entertainment news, etc., the feedback data may 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 high.

In practical application, the feedback data and/or the scene and the information may be matched with the feedback data and/or the scene and the information in the mapping relationship to obtain a matching degree between the user and the information.

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

The first model may be a machine learning model. Broadly speaking, machine learning is a method that can give the machine learning ability to perform functions that cannot be performed by direct programming. In a practical sense, machine learning is a method of training a model by using data and then using the model for prediction. The machine learning method may include: a decision tree method, a linear regression method, a logistic regression method, a neural network method, a k-nearest neighbor method, and the like, it is understood that the specific machine learning method is not limited in the embodiments of the present application.

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 attributes of the user sample, the characteristics of the second information, and the conversion behavior characteristics of the user for the second information (such as click behavior, purchase behavior, registration behavior, collection behavior, etc.) may be extracted from the data of the user sample, and the training of the first model may be performed according to the training characteristics.

Wherein the attributes of the user sample may include: preference attributes, scene attributes, etc., which may be extracted from the user data. For example, it can be extracted from the behavior data of the user. The behavioral data of the user may include: behavior data of the user for the second information, and behavior data of the user for 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: the content of the second information, the 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, or the like.

For a user sample, the corresponding matching degree value can be obtained by manual marking; or, the corresponding matching degree value may be obtained according to feedback data of the user for the second information. Optionally, the following characteristic may be obtained according to the feedback data of the user for the second information: whether the user has performed a feedback action with respect to the second information, information (kind) of the feedback action of the user with respect to the second information, and the like, and a matching degree value is obtained according to the evaluation feature. In general, the more kinds of feedback behaviors of the user for the second information, the larger the matching degree value. The range of the matching degree value may be 0 to 1, and the specific range of the matching degree value is not limited in the embodiments of the present application.

The number of the user samples may be N, and N may be a natural number greater than 0. In practical application, the server can 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 second information of the user can be predicted under the conditions 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 occurs can represent whether the user is interested in the second information. Of course, the embodiment of the present application does not impose any limitation on the specific training process of the first model.

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

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

technical proposal A1,

In 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, taking the information as first information.

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

Technical solution a1 uses the information whose matching degree exceeds the threshold as the first information, and the target information is all or part of the first information, so that interference of the target information that is not interested by the user to the user can be reduced, and the interest degree of the user in the target information can be improved.

Technical proposal A2,

In technical solution a2, determining the first information from the information set may specifically include: and sorting 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 sorting result.

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

According to the technical scheme A2, the matching degree and the price corresponding to the information can be comprehensively utilized to sequence the information, and therefore the target information determined according to the sequencing result can achieve the optimal matching degree and price.

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

Sorting the information according to the matching degree and the price corresponding to the information, which may specifically include: and fusing the matching degree and the price, and sequencing the information according to a fusion result. The method for fusing the matching degree and the price may include: a weighted average method, a multiplication method, and the like, it can be understood that the embodiment of the present application is not limited to the specific method for fusing the matching degree and the price.

Technical proposal A3,

In technical solution a3, the step 203 of determining the target information corresponding to the user may specifically include: and determining first information corresponding to the users in the user set from the information set according to the matching degree between the users and the information, the planned pushing quantity of the information in the information set and the pushing quota of the users in the user set. The user set is used to record users that can receive the corresponding first attribute or second attribute.

Technical solution a3 may perform optimization of the push quota according to the planned push quantity of the information in the information set and the push quota of the user in the user set.

The planned push quantity of information in the information set may refer to the number of times an information plan is pushed, and the planned push quantity may be set by a customer of a service operator, for example. The push quota for a user may refer to the amount of information a user is pushed. According to the method and the device, the constraint condition 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 condition.

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

The embodiment of the application can realize the optimization of the pushing quota, so that the difference between the actual pushing quantity of different information can be reduced, and the situations that some information is pushed completely, some information is not pushed yet, or the actual pushing quantity of some information is less can be avoided to a certain extent. For example, the matching degree between the information a and the user is high, and the matching degree between the information F and the user is low, so that the information a is pushed in a large amount and the information F is pushed in a small amount without optimizing the pushing quota; the push quota is optimized, so that the chance of pushing the information F can be improved, the difference between actual push quantities of different information can be reduced, and the actual push quantities 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, and 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: when the [ AA network ] store celebration needs to release 188 yuan to 288 yuan ticket! 1 Yuan Bao Tian Shi, 1 Yuan Paris Water/1 bottle in France! Plus 1 for snacks! And the address xxx TD unsubscribes, and the first information comprises M service information, so that part of the M service information can be selected from the first information as target information.

According to another embodiment, the target information has an association relationship with the first information. Optionally, 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 (e.g., xian jia qi man biography)", 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", and the like.

In the embodiment of the present application, the target user may correspond to the first attribute or the second attribute, and the first attribute and the second attribute may have an association relationship, so that after determining the first information matched with the first attribute, the embodiment of the present application may push the target information corresponding to the first information to the target user having the second attribute. Optionally, a third keyword corresponding to the first attribute may be related to a fourth keyword corresponding to the second attribute. For example, the third keyword corresponding to the first attribute may include "mom", the fourth keyword corresponding to the second attribute may include "dad", and the like.

The method for determining whether the two keywords are related may include: a correlation manner, or a word vector manner.

The correlation mode can record the correlation between the two vocabularies, so that the correlation can be searched in the correlation according to the two keywords, and if the search is hit, the two keywords can be considered to be correlated.

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 message, mail, popup, phone, etc., it is understood that the embodiment of the present application does not impose a limitation on the specific push 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 impose any limitation on a specific push channel.

In summary, the data processing method according to the embodiment of the present application adopts the first attribute in the process of determining the first information, and the first attribute may refer to an attribute possessed by the user, so that the first information can be matched with the target user, and therefore, the interest level of the target user in the target information can be improved, the disturbance of the target information to the user is reduced, and the information push effect can be improved.

Method embodiment two

Referring to fig. 3, a flowchart illustrating steps of a second embodiment of the data processing method of the present application is shown, which 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 a matching degree between the user and the alternative information according to the feedback data of the user for 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;

and 305, pushing target information to a target user.

The target user can correspond to the first attribute or the second attribute.

Compared with the first method embodiment shown in fig. 2, in the embodiment of the present application, the first information 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.

In addition, the alternative information of the embodiment of the present application may be matched with the first attribute, so that the alternative information conforms to the first attribute. The user condition may refer to a 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 a user group meeting the user condition of one information can be obtained.

In an alternative embodiment of the present application, the attributes of the user may be saved via a user attribute table. Wherein the user attribute table may not include attributes of blacklisted users. The blacklisted user may refer to a user who shields the 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 an 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, the step 302 of determining, from the third information, alternative information corresponding to the user may specifically include: and filtering the information received by the user in a preset time period from the third information to obtain the alternative information corresponding to the user. The filtering can avoid the repetition of the push information. The preset time period may be determined by those 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 those skilled in the art according to actual application requirements, for example, the time length may be 7 days, 14 days, a month, and the like.

In summary, in the data processing method according to the embodiment of the present application, the user condition may refer to a constraint of 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 a directional requirement of the information on the user can be satisfied.

In addition, the matching degree between the user and the information is determined according to the scene of the user; the scene can refer to a real-time scene where the user is, such as running, getting up, being at home, being in a unit, and the like; according to the method and the device, the target information matched with the real-time scene where the user is located can meet the requirement corresponding to 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, and the scene attribute may refer to a scene preferred by the user, such as that the user likes to run; thus, the interest degree of the user in the target information can be improved.

Method embodiment three

Referring to fig. 4, a flowchart illustrating steps of a third embodiment of the data processing method in the present application is shown, which 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 a user on 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 a specific execution subject corresponding to the step.

In this embodiment of the 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 one UID by the method described in fig. 2 or fig. 3, and send the target information to the client corresponding to the UID; for the client, the target information it receives may be referred to as first information.

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

The method and the device for processing the first information consider the scene of the target user in the process of determining the processing mode corresponding to the first information, and the scene can reflect relatively 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 reasonability of the processing mode are improved.

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

In an optional embodiment of the present application, the 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.

Because the processing mode corresponding to the first information is obtained according to the first matching degree, the processing mode can have certain rationality. Taking the processing manner as the priority as an example, generally, 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 the lower first matching degree can be given a lower priority; on the basis, the first information with lower priority can be processed to reduce the interference of the first information with lower priority to the user.

In an optional embodiment of the present application, determining the 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 mapping relation among the feedback data, the scene, the information and the matching degree. The mapping relationship between the feedback data, the scene, the information and the matching degree may specifically refer to the content of the first embodiment of the method shown in fig. 2, which is not described herein again.

In an optional 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, an illustration of a range of the first matching degree corresponding to a priority in the embodiment of the present application is shown. The priority may be divided into three levels, and it is understood that a person skilled in the art may determine the number of levels of the priority according to the actual application requirement, and the number of levels of the priority may be equal to 2 or greater than 2.

In table 2, the first threshold, the second threshold and the third threshold are the limits of the priority levels corresponding to the first matching degree, and it can be understood that a person skilled in the art can determine the first threshold, the second threshold and the third threshold according to the actual application requirements, and the specific first threshold, the specific second threshold and the specific third threshold are not limited in the embodiment of the present application.

TABLE 2

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

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

And displaying the first information corresponding to the second priority under 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 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, and can jump from the first-level information interface to the second-level information interface in response to the click operation of a user, or can return to the first-level information interface from the second-level information interface in response to the return 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 reaching rate 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 them, a service is a component of an operating system (e.g., android) that is used to process some time-consuming logic in the background, or to perform some tasks that require long-term execution, and even in the event of a program exit, to allow the service to continue to remain in execution in the background. For example, the object may be a service of an operating system.

A notification is a notification with a global effect, shown at the top of the screen. The notification center may display information from any source so that the user can learn about the latest dynamics by viewing the information.

According to the embodiment of the application, the first information corresponding to the second priority is displayed under the second-level information interface, so that the interference of the first information with lower priority to the user can be reduced.

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

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

In an optional embodiment of the present application, the processing manner may include: push time;

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

In an optional embodiment of the present application, the processing manner may include: whether to push for waiting;

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

And if the first matching degree corresponding to the first information does not exceed the threshold value of the matching degree, the processing mode corresponding to the first information is push waiting.

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

In this embodiment of the application, optionally, the scenario may include at least one of the following scenarios: a point of interest scenario, a device state scenario, and a mode scenario.

In an optional 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 attributes of the user, such as scene attributes or preference attributes. The reported user data can also be used as a basis for determining target information pushed to the user by the server.

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

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

Referring to fig. 5, there is shown an exemplary block diagram of a data processing system of the present application, which may specifically include: the server 501 and the client 502 are connected through a push channel 503.

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 be oriented to a customer of a service provider, and may provide an interface, so that the customer can set a task and set a user condition corresponding to information through the interface; for example, one task may correspond to at least one piece of information, where a plurality of pieces of information corresponding to the task may represent a plurality of creatives corresponding to the task, and the like.

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

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

a rights management module 5111;

a task management module 5112;

a crowd direction module 5113; and

a reporting module 5114;

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

The task management module 5112 may allow a client to create a task and set information of the task.

Specifically, the client can be allowed to customize a circulant mode, select an information template, set information content and a sending mechanism of the information content through the provided interface; realizing recharge, and bidding a task; checking the task state, the task effect, the task price and the like of the user; the task price may refer to a product of a unit price of one piece of information of the push task and an actual push number of the task.

The crowd direction module 5113 may receive user conditions set by the user. Specifically, the provided setting interface may include: a user attribute field and a relationship field, so that a user condition can be generated according to the set contents for the user attribute field and the relationship field. Alternatively, the user condition may be characterized by a disjunctive normal form.

It is understood that the user conditions are only used as an alternative embodiment, and in fact, the embodiment of the present application may allow the customer to perform the group delineation without the user conditions.

The reporting module 5114 can dynamically display information of tasks and push information of tasks in a table, chart, or the like format.

The management module 511 transfers what user information a task defines to the user direction module 512 through a disjunctive normal form; the user direction module 512 parses the disjunctive normal form, and selects users according to the attributes of the users, that is, determines a user group satisfying the user condition of a task, that is, a task may correspond to a 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, an ordering module 5133, a quota optimizing module 5134, and a triggering module 5135.

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

1) the information of the task specifically includes: task ID, circled crowd, sending mechanism, price information, information content and the like;

2) the user attribute table includes: scene attribute, preference attribute, static attribute and the like of the user;

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

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

It should be noted that, since one task may have multiple creatives, one task may correspond to multiple pieces of information, and in this case, the information that best matches the user may be determined from the multiple pieces of information corresponding to one task.

4) The data of the user sample may include the following training features: the attributes of the user sample, the characteristics of the second information, and the conversion behavior characteristics of the user for the second information (such as click behavior, purchase behavior, registration behavior, collection behavior, etc.), and the model module 5132 may extract the training characteristics from the data of the user sample, and train the first model according to the training characteristics. The model module 5132 may also input the characteristics 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, filtering out alternative information; if the matching degree exceeds the threshold, the sorting module 5133 may sort the alternative information according to the matching degree and the price of one information to obtain a sorting result;

6) the quota optimizing module 5134 optimizes the push quota, specifically, a constraint condition may be obtained according to the planned push quantity of the information in the information set and the push quota of the user in the user set, where information of top M different tasks is preferentially selected for a user under the constraint condition, where M is a natural number.

7) For example, the target information corresponding to one user may be: UID-task 1task2task 3.

8) And sending the target information to the system channel through the information middleware. The information middleware can provide efficient and flexible information synchronous and asynchronous transmission processing, storage forwarding and reliable transmission for an application system. And the information is ensured to be safely, reliably and efficiently delivered under a large-scale distributed environment. The embodiment of the present application does not impose any limitation on the specific information middleware.

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

The push channel 503 may include: a server and a client, the push channel 503 may always live in the device, so that the push arrival rate may be increased.

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 for the second information in real time, and reporting the feedback data to the server 501.

Collecting user data, and identifying partial scenes, such as home arrival, running, getting up and the like, of the user data; the user data and 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 a processing mode corresponding to the first information.

Optionally, a first matching degree between the received first information and the user is determined according to feedback data of the user on the historical information and/or a scene corresponding to the user, and a priority of the first information is determined according to the first matching degree. If the first matching degree is low, the first information is regarded as information with little interest of the user, and the first information is displayed in a directory 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 four

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

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

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

step 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 the clients run on the terminals, so that the data of the plurality of terminals may be obtained.

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 checks the information, whether the user clicks the information, whether to execute a purchasing behavior, a registering behavior, a collecting behavior, and the like after clicking the information. The information may include: push information, or the information may include: and information actively obtained by the user, such as information obtained by searching, information of opened pages 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 user's preference attributes to a certain extent. According to the method and the device, 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 for the target information can be improved, the disturbance of the target information to 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 a scene of the target terminal.

Optionally, the scene corresponding to the target terminal may be matched with the scene condition corresponding to the target information, 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 "a fueling station scene", the feedback data of the target terminal corresponding to the user includes "fuel has been added at a fueling station", and the scene of the target terminal is "a fueling station scene", so that the "fueling offer information" can be pushed to the target terminal when the target terminal is in the "fueling station scene".

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

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

In summary, according to the data processing method in the embodiment of the present application, the feedback data can represent the preference attribute of the user to a certain extent. According to the method and the device, 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 for the target information can be improved, the disturbance of the target information to the user is reduced, and the information pushing effect can be improved.

In addition, 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 better meet 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 described as a series of acts or combination of acts, but those skilled in the art will recognize that the embodiments are not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the embodiments. Further, those skilled in the art will also appreciate that the embodiments described in the specification are presently preferred and that no particular act is required of the embodiments of the application.

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

Referring to fig. 7, a block diagram of a data processing apparatus according to an embodiment of the present application is shown, which may specifically 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 a first attribute and/or a scene corresponding to a target user; the user data may include: feedback data of the user on 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 there is an association relationship 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 may include 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 user to the second information.

Optionally, the first information determining module 701 may include:

the first determining submodule is used for determining the preference attribute of at least one user according to the feedback data of the at least one user corresponding to the first attribute on 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.

Optionally, 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.

Optionally, the first information determining module 701 may include:

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

and the fifth determining submodule is used for determining the first information according to the matching degree between the user and the information.

Optionally, the fifth determination submodule may include:

the sorting determining unit is used for sorting 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 sorting result; or

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

Optionally, the user condition may correspond to a logic expression, where the logic expression is used to represent a logic relationship between at least two types of user information.

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

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

preference attributes and static attributes.

Optionally, the scenario may include at least one of the following scenarios:

a point of interest scenario, a device state scenario, and a mode scenario.

In summary, the data processing apparatus according to the embodiment of the present application adopts the first attribute in the process of determining the first information, and the first attribute may refer to an attribute that a user has, so that the first information is matched with a target user, and therefore, the interest level of the target user in the target information can be improved, the disturbance of the target information to the user is reduced, and the information push effect can be improved.

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

an information receiving module 801, configured to receive first information;

a processing mode determining module 802, configured to determine, according to feedback data of the user on the historical information and/or a scene corresponding to the user, a processing mode corresponding to the first information; 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 a priority, a push time, and whether to push pending.

Optionally, the processing manner determining module 802 may include:

the first matching degree determining submodule is used for 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

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 device 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.

Optionally, the information processing module 803 may include:

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

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

Optionally, the information processing module 803 may include:

and the filtering submodule is used for filtering the first information with the priority lower than the second priority.

Optionally, the processing manner may include: push time;

the push time may include: the device comprises first pushing time and 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 to push for waiting;

Optionally, the user corresponds to the first attribute or corresponds to a second attribute, and the first attribute and the second attribute have an association relationship;

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

Optionally, the scenario may include at least one of the following scenarios:

a point of interest scenario, a device state scenario, and a mode scenario.

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

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

For one embodiment, fig. 9 illustrates an example apparatus 1300, which apparatus 1300 may comprise: one or more processors 1302, a system control module (chipset) 1304 coupled to at least one of the processors 1302, system memory 1306 coupled to the system control module 1304, 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.

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

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

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

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

System memory 1306 for one embodiment may be used to load and store data and/or instructions 1372. For one embodiment, system memory 1306 may include any suitable volatile memory, such as suitable DRAM (dynamic random access memory). In some embodiments, system memory 1306 may include: double data rate type four synchronous dynamic random access memory (DDR4 SDRAM).

System control module 1304 for one embodiment may include one or more input/output controllers to provide an interface to NVM/storage 1308 and 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 non-volatile memory (e.g., flash memory, etc.) and/or may include any suitable non-volatile storage device(s), e.g., 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.

The NVM/storage 1308 may include storage resources that are physically part of the device on which the device 1300 is installed or may be accessible by the device and not necessarily part of the device. For example, the NVM/storage 1308 may be accessed over a network via the network interface 1312 and/or through the 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, and input/output devices 1310 may include communication components, audio components, sensor components, and so forth.

Network interface 1312 of one embodiment may provide an interface for device 1300 to communicate with one or more networks and/or with any other suitable device, and device 1300 may communicate wirelessly with one or more components of a wireless network according to any of one or more wireless network standards and/or protocols, such as to access a communication standard-based wireless network, 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 for 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 for 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 novelty as the logic of one or more controllers of the system control module 1304. For one embodiment, at least one of processors 1302 may be integrated on the same chip with logic for one or more controllers of system control module 1304 to form a system on a chip (SoC).

In various embodiments, apparatus 1300 may include, but is not limited to: a computing device such as a desktop computing device or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet, a netbook, etc.). In various embodiments, apparatus 1300 may have more or fewer components and/or different architectures. For example, in some embodiments, device 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 includes a touch panel, the display screen may be implemented as a touch screen display to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.

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

Provided in one example is an apparatus 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 embodiments of the present application, which may include: 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, which when executed by one or more processors, cause an apparatus to perform a method as in embodiments of the application, which may include: the method shown in fig. 2 or fig. 3 or fig. 4 or fig. 6.

The specific manner in which each module performs operations of the apparatus in the above embodiments has been described in detail in the embodiments related to the method, and will not be described in detail here, and reference may be made to part of the description of the method embodiments for relevant points.

The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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 application have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including the preferred embodiment and all such alterations and modifications as fall within the true scope of the embodiments of the application.

Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be 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. Also, 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 an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

The foregoing detailed description has provided a data processing method, a data processing apparatus, an apparatus, and a machine-readable medium, which are provided by the present application, and the present application has described the principles and embodiments of the present application by applying specific examples, and the descriptions of the foregoing examples are only used to help understand the method and the core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims

1. A data processing method, comprising:

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 determining the first information comprises:

determining the preference attribute of at least one user according to the feedback data of the at least one user corresponding to the first attribute on 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 determining the first information comprises:

and determining the first information according to 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 determining the first information comprises:

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

sorting 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 sorting result; or

And determining first information corresponding to the users in the user set from the information set according to the matching degree between the users and the information, the planned pushing quantity of the information in the information set and the pushing quota of the users in the user set.

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

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

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

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 scenes:

a point of interest scenario, a device state scenario, and a mode scenario.

11. A data processing method, comprising:

receiving first information;

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

13. The method according to 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 13, wherein the processing means comprises: a priority;

the priorities include: the device 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.

15. The method according to claim 14, wherein the processing the first information according to the priority corresponding to the first information comprises:

16. The method according to claim 14, 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.

17. The method of claim 13, wherein the processing means comprises: push time;

the push time includes: the device comprises first pushing time and 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.

18. The method of claim 13, wherein the processing means comprises: whether to push for waiting;

19. The method according to any one of claims 11 to 18, wherein the user corresponds to the first attribute or corresponds to a second attribute, and the first attribute and the second attribute have an association relationship;

20. The method according to any one of claims 11 to 18, wherein the scenario comprises at least one of the following scenarios:

a point of interest scenario, a device state scenario, and a mode scenario.

21. A data processing apparatus, comprising:

22. The apparatus of claim 21, wherein the first information corresponds to a user condition matching the first attribute; and/or

23. The apparatus of claim 21, wherein the first information determining module comprises:

24. The apparatus of claim 21, wherein the first information determining module comprises:

25. The apparatus of claim 21, wherein the first information determining module comprises:

26. The apparatus of claim 25, wherein the fifth determination submodule comprises:

27. A data processing apparatus, comprising:

the information receiving module is used for receiving first information;

28. The apparatus of claim 27, wherein the processing means comprises: at least one of a priority, a push time, and whether to push pending.

29. The apparatus of claim 27, wherein the processing means determining means comprises:

30. The apparatus of claim 29, wherein the processing means comprises: a priority;

31. The apparatus of claim 30, wherein the information processing module comprises:

32. The apparatus of claim 30, wherein the information processing module comprises:

33. The apparatus of claim 30, wherein the processing means comprises: push time;

34. The apparatus of claim 30, wherein the processing means comprises: whether to push for waiting;

35. An apparatus, comprising:

one or more processors; and

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

36. 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 recited by one or more of claims 1-10.

37. An apparatus, comprising:

one or more processors; and

one or more machine-readable media having instructions stored thereon that, when executed by the one or more processors, cause the apparatus to perform the method of one or more of claims 11-20.

38. 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 recited by one or more of claims 11-20.

39. A data processing method, comprising:

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