CN116661840A

CN116661840A - Offline data processing method and device and storage medium

Info

Publication number: CN116661840A
Application number: CN202210142478.2A
Authority: CN
Inventors: 练振华
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2022-02-16
Filing date: 2022-02-16
Publication date: 2023-08-29

Abstract

The application discloses a method and a device for processing offline data and a storage medium, which can be applied to the field of maps. Acquiring behavior data of a target object in a target interface; then determining an object tag corresponding to the target object based on the behavior data; performing data configuration in the offline data template set according to the object tag to determine an offline data template corresponding to the object tag; and further adjusting the offline data template according to the behavior data to determine the offline data corresponding to the object tag. Therefore, the targeted configuration process of the offline data is realized, and the offline data is obtained by adopting the behavior data of the target object to perform data configuration in the template, so that the relevance of the offline data and the target object is improved, the condition that the offline data is not matched with the target object is avoided, and the accuracy of the offline data is improved.

Description

Offline data processing method and device and storage medium

Technical Field

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

Background

With the rapid development of internet technology, the requirements of people on data content are increasing. Offline packages are a common form of loading data content.

Typically, a single offline package is employed for the client interface, i.e., the same offline package is used for all object groups.

However, the data content requirements corresponding to different objects may be different, and in a large-scale data content loading scene, a situation that the offline data is not matched with the objects may occur due to the adoption of single offline data, so that the accuracy of the offline data is affected.

Disclosure of Invention

In view of this, the present application provides a method for processing offline data, which can effectively improve the accuracy of the offline data.

The first aspect of the present application provides a method for processing offline data, which can be applied to a system or a program including a processing function of offline data in a terminal device, and specifically includes:

acquiring behavior data of a target object in a target interface;

determining an object tag corresponding to the target object based on the behavior data;

performing data configuration in an offline data template set according to the object tag to determine an offline data template corresponding to the object tag;

and adjusting the offline data template according to the behavior data to determine offline data corresponding to the object tag, wherein the offline data is used for displaying in the target interface.

Optionally, in some possible implementations of the present application, the performing data configuration in the offline data template set according to the object tag to determine an offline data template corresponding to the object tag includes:

determining a functional module contained in the target interface;

based on the object tag, an interactive hot spot module corresponding to the functional module;

and carrying out data matching in the offline data template set according to the module combination corresponding to the interaction hot spot module so as to configure and obtain the offline data template containing the interaction hot spot module.

determining a label set corresponding to the offline data template set;

determining the similarity between the object tag and the tags in the tag set to obtain similarity information;

determining a target label from the label set according to the similarity information;

and determining a corresponding offline data template based on the target tag.

Optionally, in some possible implementations of the present application, the determining a tag set corresponding to the offline data template set includes:

Determining a statistical period range corresponding to the behavior data;

determining a target tag dimension based on the statistical period range;

and determining a label set corresponding to the offline data template set based on the target label dimension.

Optionally, in some possible implementations of the present application, the adjusting the offline data template according to the behavior data to determine offline data corresponding to the object tag includes:

an interaction module for determining the behavior data indication;

determining operation information corresponding to the interaction module according to the behavior data;

and carrying out region adjustment on the corresponding modules in the offline data template based on the operation validity information indicated by the operation information so as to determine the offline data corresponding to the object tag.

Optionally, in some possible implementations of the present application, the method further includes:

determining text information contained in the interaction module;

performing information matching based on the text information to determine associated information;

and updating the information of the low-heat module in the target interface according to the associated information.

Optionally, in some possible implementations of the present application, the acquiring behavior data of the target object in the target interface includes:

Determining a prediction period;

collecting the behavior data of the target object in the target interface based on the prediction period;

the determining the object tag corresponding to the target object based on the behavior data includes:

determining a configuration tag of the target object in the last period corresponding to the prediction period;

analyzing the behavior data to determine tag update information;

updating the configuration tag to the object tag based on the tag update information.

A second aspect of the present application provides an offline data processing apparatus, including:

the acquisition unit is used for acquiring behavior data of the target object in the target interface;

the determining unit is used for determining an object tag corresponding to the target object based on the behavior data;

the processing unit is used for carrying out data configuration in an offline data template set according to the object tag so as to determine an offline data template corresponding to the object tag;

the processing unit is further configured to adjust the offline data template according to the behavior data, so as to determine offline data corresponding to the object tag, where the offline data is used for displaying in the target interface.

Optionally, in some possible implementations of the present application, the processing unit is specifically configured to determine a functional module included in the target interface;

the processing unit is specifically configured to interact with a hot spot module corresponding to the function module based on the object tag;

the processing unit is specifically configured to perform data matching in the offline data template set according to a module combination corresponding to the interaction hot spot module, so as to configure the offline data template including the interaction hot spot module.

Optionally, in some possible implementations of the present application, the processing unit is specifically configured to determine a tag set corresponding to the offline data template set;

the processing unit is specifically configured to determine a similarity between the object tag and a tag in the tag set, so as to obtain similarity information;

the processing unit is specifically configured to determine a target tag from the tag set according to the similarity information;

the processing unit is specifically configured to determine a corresponding offline data template based on the target tag.

Optionally, in some possible implementations of the present application, the processing unit is specifically configured to determine a statistical period range corresponding to the behavior data;

The processing unit is specifically configured to determine a dimension of the target tag based on the statistical period range;

the processing unit is specifically configured to determine a tag set corresponding to the offline data template set based on the target tag dimension.

Optionally, in some possible implementations of the present application, the processing unit is specifically configured to determine an interaction module indicated by the behavior data;

the processing unit is specifically configured to determine operation information corresponding to the interaction module according to the behavior data;

the processing unit is specifically configured to perform area adjustment on a corresponding module in the offline data template based on the operation validity information indicated by the operation information, so as to determine offline data corresponding to the object tag.

Optionally, in some possible implementations of the present application, the processing unit is specifically configured to determine text information included in the interaction module;

the processing unit is specifically used for carrying out information matching based on the text information so as to determine associated information;

the processing unit is specifically configured to update information of the low-heat module in the target interface according to the association information.

Optionally, in some possible implementations of the present application, the acquiring unit is specifically configured to determine a prediction period;

The obtaining unit is specifically configured to collect the behavior data of the target object in the target interface based on the prediction period;

the determining unit is specifically configured to determine a configuration tag of the target object in a previous cycle corresponding to the prediction cycle;

the determining unit is specifically configured to parse the behavior data to determine tag update information;

the determining unit is specifically configured to update the configuration tag to the object tag based on the tag update information.

A third aspect of the present application provides a computer apparatus comprising: a memory, a processor, and a bus system; the memory is used for storing program codes; the processor is configured to execute the offline data processing method according to the first aspect or any one of the first aspects according to an instruction in the program code.

A fourth aspect of the application provides a computer readable storage medium having instructions stored therein which, when run on a computer, cause the computer to perform the method of processing offline data of the first aspect or any of the first aspects described above.

According to one aspect of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The computer instructions are read from a computer readable storage medium by a processor of a computer device, which executes the computer instructions, causing the computer device to perform the method of processing offline data provided in the above-described first aspect or various alternative implementations of the first aspect.

From the above technical solutions, the embodiment of the present application has the following advantages:

acquiring behavior data of a target object in a target interface; then determining an object tag corresponding to the target object based on the behavior data; performing data configuration in the offline data template set according to the object tag to determine an offline data template corresponding to the object tag; and further adjusting the offline data template according to the behavior data to determine offline data corresponding to the object tag, wherein the offline data is used for displaying in the target interface. Therefore, the targeted configuration process of the offline data is realized, and the offline data is obtained by adopting the behavior data of the target object to perform data configuration in the template, so that the relevance of the offline data and the target object is improved, the condition that the offline data is not matched with the target object is avoided, and the accuracy of the offline data is improved.

Drawings

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

FIG. 1 is a network architecture diagram of the operation of a processing system for offline data;

FIG. 2 is a flow chart of offline data processing according to an embodiment of the present application;

FIG. 3 is a flowchart of a method for processing offline data according to an embodiment of the present application;

fig. 4 is a schematic view of a scenario of a method for processing offline data according to an embodiment of the present application;

FIG. 5 is a schematic view of a scenario illustrating another method for processing offline data according to an embodiment of the present application;

FIG. 6 is a schematic diagram of a scenario of another method for processing offline data according to an embodiment of the present application;

fig. 7 is a schematic view of a scenario of another offline data processing method according to an embodiment of the present application;

FIG. 8 is a flowchart of another method for processing offline data according to an embodiment of the present application;

FIG. 9 is a schematic structural diagram of an offline data processing device according to an embodiment of the present application;

fig. 10 is a schematic structural diagram of a terminal device according to an embodiment of the present application;

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

Detailed Description

The embodiment of the application provides a processing method of offline data and a related device, which can be applied to a system or a program containing the processing function of the offline data in terminal equipment, and the processing method can be used for acquiring behavior data of a target object in a target interface; then determining an object tag corresponding to the target object based on the behavior data; performing data configuration in the offline data template set according to the object tag to determine an offline data template corresponding to the object tag; and further adjusting the offline data template according to the behavior data to determine offline data corresponding to the object tag, wherein the offline data is used for displaying in the target interface. Therefore, the targeted configuration process of the offline data is realized, and the offline data is obtained by adopting the behavior data of the target object to perform data configuration in the template, so that the relevance of the offline data and the target object is improved, the condition that the offline data is not matched with the target object is avoided, and the accuracy of the offline data is improved.

The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented, for example, in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "includes" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.

First, some terms that may appear in the embodiments of the present application will be explained.

Object tag: based on the basic data and behavior data of the object, a series of symbolic representations (L1, L2, L3 … Ln, n limited) of the object features are generated.

Offline package module (Function, F): the module refers to a specific offline package function module, and comprises UI and service function implementation. For example: content presentation, form entry, notification reminder, and the like.

Offline package module Set (Function Set), a Set of offline package modules.

Offline package Template (T): a template refers to a combination of a series of modules.

Offline package Template Set (Template Set): a collection of offline packages used by the user (templates T0, T1, T2, T3 …, tn).

And (5) offline template packaging pool: and (5) offline packaging of templates in a repository, wherein all templates are in a template pool.

Offline package: and packing the HTML, javaScript, CSS static resources, pictures and the like into a compressed package, and storing the offline package to the client in a prefabricated or dynamic updating mode.

And an offline package management platform: and carrying out version management and release on the offline package.

It should be understood that the method for processing offline data provided by the present application may be applied to a system or a program including a processing function of offline data in a terminal device, for example, a financial application, and specifically, the system for processing offline data may be operated in a network architecture shown in fig. 1, as shown in fig. 1, which is a network architecture diagram operated by the system for processing offline data, as shown in fig. 1, where the system for processing offline data may provide a processing procedure of offline data with a plurality of information sources, that is, configure offline data corresponding to an object tag at a server through an interaction operation at a terminal side, so as to issue offline data; it will be appreciated that various terminal devices are shown in fig. 1, the terminal devices may be computer devices, in an actual scenario, there may be more or less terminal devices participating in the process of processing offline data, and the specific number and types are not limited herein, and in addition, one server is shown in fig. 1, but in an actual scenario, there may also be participation of multiple servers, where the specific number of servers is determined by the actual scenario.

In this embodiment, the server may be an independent physical server, or may be a server cluster or a distributed system formed by a plurality of physical servers, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, and basic cloud computing services such as big data and artificial intelligence platforms. The terminal may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, a smart voice interaction device, a smart home appliance, a vehicle-mounted terminal, and the like. The terminals and servers may be directly or indirectly connected by wired or wireless communication, and the terminals and servers may be connected to form a blockchain network, which is not limited herein.

It will be appreciated that the offline data processing system described above may be implemented in a personal mobile terminal, for example: the application can be used as a financial application, can also be run on a server, and can also be used as a third party device to provide offline data processing so as to obtain the offline data processing result of the information source; the specific offline data processing system may be in a program form, may also be operated as a system component in the device, and may also be used as a cloud service program, where the specific operation mode is determined according to an actual scenario and is not limited herein.

In order to solve the above problems, the present application provides a method for processing offline data, which is applied to a flow frame of processing offline data shown in fig. 2, as shown in fig. 2, and is a flow frame diagram of processing offline data provided by an embodiment of the present application, and a user makes a server (cloud system) obtain an offline package template from an offline package template set according to a certain rule by means of interactive operation on a terminal interface according to an object tag of the user, and generates an offline package of the user; therefore, the client obtains and loads the off-line package special for the user according to the object tag, and the dynamic configuration process of the off-line package at the client is realized.

It can be understood that the method provided by the application can be a program writing method, which can be used as a processing logic in a hardware system, and can also be used as an offline data processing device, and the processing logic can be realized in an integrated or external mode. As one implementation manner, the offline data processing device obtains behavior data of a target object in a target interface; then determining an object tag corresponding to the target object based on the behavior data; performing data configuration in the offline data template set according to the object tag to determine an offline data template corresponding to the object tag; and further adjusting the offline data template according to the behavior data to determine offline data corresponding to the object tag, wherein the offline data is used for displaying in the target interface. Therefore, the targeted configuration process of the offline data is realized, and the offline data is obtained by adopting the behavior data of the target object to perform data configuration in the template, so that the relevance of the offline data and the target object is improved, the condition that the offline data is not matched with the target object is avoided, and the accuracy of the offline data is improved.

With reference to fig. 3, fig. 3 is a flowchart of a method for processing offline data according to an embodiment of the present application, where the method for managing offline data may be executed by a terminal or a server, and the embodiment of the present application at least includes the following steps:

301. And acquiring behavior data of the target object in the target interface.

In this embodiment, the target object may be a user, a terminal or other operation subject, and the specific object form depends on the actual scenario.

Specifically, the target interface in this embodiment is an interface operated by the target object, and the behavior data is an operation action of the target object on the interface, such as clicking, track, residence time, etc., where specific behavior content is determined according to a specific interaction form.

It can be understood that the target interface performs data loading through the offline data, so as to ensure the smoothness of the data, in this implementation, the loading process of the offline data can refer to the scene architecture shown in fig. 4, and fig. 4 is a schematic scene diagram of the offline data processing method provided by the embodiment of the present application; the flow of generating the offline package is shown to include: the front-end code is first submitted at the front-end. And then the automatic construction server packages the front-end codes by utilizing weback to generate dynamic resource (HTML, JS and the like) files, namely, carrying out targeted resource allocation according to the behavior data of the object. And further downloading the packaged dynamic resource file package from the construction server. And uploading the dynamic resource file package to an offline package management platform and publishing the dynamic resource file package to the target object.

It should be noted that the offline data may be transmitted in the form of data packets, i.e. offline packets; other data packaging forms may be employed, and the following examples are described by taking offline packages as an example, which is not intended to be limiting.

In one possible scenario, the offline data is used for interface display of a corresponding module in the target interface, as shown in fig. 5, and fig. 5 is a schematic diagram of a scenario of another offline data processing method according to an embodiment of the present application; the offline data corresponds to the data of different functional modules, for example, the data of the functional module A1 in the figure is obtained by offline data loading; specifically, in this embodiment, the configuration of the offline package is performed through an offline package template, where the offline package template is composed of a plurality of offline package function modules, so as to ensure the matching between the offline data and the target interface.

302. And determining an object tag corresponding to the target object based on the behavior data.

In this embodiment, the object tag is a feature representation of the target object behavior data, for example, for an object with the highest click frequency of the function modules (F1, F2, F3), an L1 tag is configured, so that statistics of object features is facilitated.

It may be appreciated that the object tag may be generated based on a frequency of the object clicking module, a duration of the object sliding module, and a behavior conversion rate after the object clicking module, for example, whether the application installation is completed after the object clicks the downloading module, where a specific configuration form of the object tag is determined by a specific interaction feature, and a configuration process may include one or more behavior features, which is not limited herein.

303. And carrying out data configuration in the offline data template set according to the object tag so as to determine the offline data template corresponding to the object tag.

In this embodiment, the offline data template set is a set of offline data templates configured in advance, so that data matching is conveniently performed on the target interface, and the generation efficiency of offline data is improved.

Specifically, a certain number of offline package modules (F1, F2, F3 …, fn and the like) are configured before the offline package is generated, so that the offline package template is generated conveniently; and the basic tag libraries (L1, L2, L3 … and the like) can be generated based on the modeling of the history of the object data, namely, the corresponding relation between different object tags and behavior data.

In one possible scenario, the process of determining the offline data template corresponding to the object tag may be determined based on the interaction frequency of the functional modules, that is, the functional modules included in the target interface are determined first; then, based on the object labels, corresponding interactive hot spot modules, such as the module with the largest clicking times, in the functional modules; and performing data matching in the offline data template set according to the module combination corresponding to the interaction hot spot module so as to obtain the offline data template containing the interaction hot spot module. Thereby improving the data relevance of the object common module.

In addition, the process of determining the offline data template corresponding to the object tag may be performed based on the similarity between the tags, that is, the tag set corresponding to the offline data template set is determined first; then determining the similarity between the object tag and the tags in the tag set to obtain similarity information; determining a target label from the label set according to the similarity information; and then determining a corresponding offline data template based on the target tag. Therefore, the situation of module vacancy caused by slight difference of label configuration is avoided, and the effectiveness of the offline data template is improved.

In one possible scenario, the tag set may also be determined based on the period length of the behavior data, i.e. the statistical period range corresponding to the behavior data is first determined, for example, one day or one month; then determining the dimension of the target tag based on the statistical period range; and determining a label set corresponding to the offline data template set based on the target label dimension. For example, for the case that the statistical period range is one day, the corresponding target label dimension short-term label is the label set configured for short-term behavior, such as click rate; and for the situation that the statistical period range is one month, the corresponding target label dimension is a long-term label, and the label set is a label configured for long-term behavior, such as advertisement conversion rate, so that the accuracy of label configuration is ensured, and the matching degree of the offline data and the target object on different time periods is further improved.

In this embodiment, the offline package template (offline data template) may be generated in advance, and the specific offline Bao Moban generation component is two methods, which are rule-based and object-tag-based respectively. The rule-based offline package generation process is used to generate a preset offline package template (i.e., an offline package built in when a user first uses an installation usage client). The offline package template T0 can be generated by directly defining according to user investigation or bid analysis, namely, firstly investigating and analyzing bid realization strategies (three functional modules F1', F3' in an offline package page of a bid). Then according to the user investigation, the user with the L1 label characteristic is found, the frequency of the functional module (F1, F2, F3) is highest, and the offline package template T1 with the L1 object characteristic is generated by utilizing the combination of the functional modules (F1, F2, F3). Further, offline packages T2, T3, T4 … Tn having the label characteristics of L2, L3 … Ln are generated, respectively. And then the offline package templates T0-Tn are issued to an offline package resource pool, and the offline package resource pool stores an offline data template set.

In addition, for the process of generating the offline package template based on the object label, a default offline package template L0 is used when the client user uses the offline package for the first time. If the user uses the offline package at the client, the client collects behavior data (operation track information) of the user and reports the behavior data to the cloud. The cloud tag engine then generates a tag Lm for the user based on the behavior data of the user over a period of time (e.g., two months). Further, the similarity between the newly generated object tag Lm and L1, L2 … Ln in the tag library is calculated, and the tag Lk (0 < =k < =0) with the highest similarity is taken from the tag library. And finding out a corresponding template Tk from the offline package resource pool according to the label Lk to serve as the latest offline package template of the user. Therefore, the offline package management platform speaks the offline package template Tk as the latest offline package, and updates the version number information of the offline package management platform for issuing. By configuration of the offline data template set, data instantaneity of the offline data template can be ensured, and relevance between the offline data and the target object is improved

304. And adjusting the offline data template according to the behavior data to determine the offline data corresponding to the object tag.

In this embodiment, the offline data is used for displaying in the target interface, for example, displaying the virtual element of the functional module A1 in fig. 5.

Specifically, for the process of determining the offline data corresponding to the object tag, namely, the process of performing data adjustment based on the offline data template, namely, firstly determining an interaction module indicated by the behavior data; then determining operation information corresponding to the interaction module according to the behavior data; and further, performing region adjustment on the corresponding modules in the offline data template based on the operation effectiveness information indicated by the operation information so as to determine the offline data corresponding to the object tag. For example, in the scenario shown in fig. 6, fig. 6 is a schematic diagram of a scenario of another offline data processing method according to an embodiment of the present application; the user with an L1 label (object label) acquires a corresponding offline package template T1 according to the label L1, wherein the offline package template T1 comprises different module components, and the components have default UI styles and default function implementation logic. The offline packages first used by the user are all offline packages employing a default UI style (CSS-1) and a default function implementation (Logic-1).

The process of generating an offline package by the offline package template will be described below by taking the Function1 Function (Function block B1) of clicking the area of the offline package template T1 by the user as an example. In the default UI style (CSS-1) of the Function module B1, the visual click region of the offline package Function module Function1 is designed to be (80 x 360).

After the user uses the offline package for a period of time, the server tag engine discovers that click information (operation information) of Function1 of the offline package module in the T1 template, that is, the probability (40%) of the click area exceeds a default visible click area (80×360) (operation validity information), and updates the tag of the user to L1' according to the click information (that is, the area is adjusted to be in the form of a functional module B2). The offline package templates corresponding to the object tags L1' and L1 are both T1, but correspond to different UI styles. The UI style corresponding to the L1 'is CSS-2, wherein the CSS-2 is different from the CSS-1 in that the size of the updated click region is (120 x 360) according to the collected object data, so that a new offline package corresponding to the adaptive image operation is obtained based on the label L1'.

In addition, the size of the region can be adjusted by offline data processing, and the migration of the interest text can be performed, namely, the text information contained in the interaction module is firstly determined; then carrying out information matching based on the text information to determine associated information; and updating the information of the low-heat module in the target interface according to the associated information. For example, if the interaction module indicates that the text information is financial information, the associated financial information can be searched for and displayed on a module which is not operated frequently by the user in the target interface, so that the richness of the content of the target interface is improved.

As can be seen from the above embodiments, behavior data of a target object in a target interface is obtained; then determining an object tag corresponding to the target object based on the behavior data; performing data configuration in the offline data template set according to the object tag to determine an offline data template corresponding to the object tag; and further adjusting the offline data template according to the behavior data to determine offline data corresponding to the object tag, wherein the offline data is used for displaying in the target interface. Therefore, the targeted configuration process of the offline data is realized, and the offline data is obtained by adopting the behavior data of the target object to perform data configuration in the template, so that the relevance of the offline data and the target object is improved, the condition that the offline data is not matched with the target object is avoided, and the accuracy of the offline data is improved.

The above embodiments describe the generation of offline data, in which the determination of object tags is involved, and the object tags may be dynamically configured, as will be described below. The updating of the object tag can be actively initiated by the client (terminal) or can be a periodically performed updating process. For a scenario initiated actively, please refer to fig. 7, fig. 7 is a schematic diagram of a scenario of another offline data processing method according to an embodiment of the present application; the following steps are shown:

1. The user opens the client.

2. The client acquires user authentication information.

3. The client acquires the offline package updating information from the offline package management platform.

4. And the offline package management platform queries the latest label of the user in the object label engine according to the user id.

5. The object (user) tag engine returns an object tag.

6. And the offline package management platform acquires offline package update information according to the object information and the tag.

7. And the offline package management platform returns offline package update information to the client.

8. The client judges whether the offline package needs to be updated.

9. If the update is needed, the client requests the offline package management platform to acquire the offline package download address.

10. The offline package management platform acquires an offline package download address from the offline package resource pool.

11. The offline package resource pool returns an offline package download address.

12. And the offline package management platform sends the offline package download address to the client.

13. The client downloads the update offline package.

In the embodiment, the offline package is updated in real time in response to the starting of the client, so that the matching property of the object tag is ensured.

In addition, as shown in fig. 8, fig. 8 is a flowchart of another offline data processing method according to an embodiment of the present application; that is, a prediction period may be first determined for a process of acquiring behavior data of a target object in a target interface; then collecting behavior data of the target object in a target interface based on a prediction period; further determining a configuration tag of the target object in the last period corresponding to the prediction period; analyzing the behavior data to determine tag update information; the configuration tag is then updated to the object tag based on the tag update information.

Specifically, fig. 8 shows the following steps:

1. the task scheduler triggers the object tag engine to start a task and periodically updates tag information.

2. The object (user) tag engine obtains behavior data within an object cycle from an object (user) behavior database.

3. The object behavior database returns object behavior data to the object tag engine.

4. The object tag engine updates the object (user) tag information.

5. The object tag engine synchronizes the object tag update information to the offline package management platform.

6. The offline package management platform detects whether the object tag is updated.

7. The offline package management platform pushes offline package updates to the client.

8. The client updates the offline package.

It will be appreciated that the execution bodies in the above embodiments may be the components shown in the figures, or may be combinations of the components thereof, and specific functional implementations depend on specific device configurations.

The diversity of offline packages is improved through the embodiment. Different user groups, and even different user individuals, will have different offline package versions and functions on the client. In addition to the traditional operation and maintenance control of off-line package update delivery, the update of the off-line package is driven by the change of the object label, and the update and the delivery of the off-line package can be triggered along with the change of the object label. The pertinence of the offline package content and the practicality of the service are improved, and the user experience is improved.

In order to better implement the above-described aspects of the embodiments of the present application, the following provides related apparatuses for implementing the above-described aspects. Referring to fig. 9, fig. 9 is a schematic structural diagram of an offline data processing apparatus according to an embodiment of the present application, and an offline data processing apparatus 900 includes:

an acquiring unit 901, configured to acquire behavior data of a target object in a target interface;

a determining unit 902, configured to determine an object tag corresponding to the target object based on the behavior data;

a processing unit 903, configured to perform data configuration in an offline data template set according to the object tag, so as to determine an offline data template corresponding to the object tag;

the processing unit 903 is further configured to adjust the offline data template according to the behavior data to determine offline data corresponding to the object tag, where the offline data is used for displaying in the target interface.

Optionally, in some possible implementations of the present application, the processing unit 903 is specifically configured to determine a functional module included in the target interface;

the processing unit 903 is specifically configured to interact with a hot spot module corresponding to the function module based on the object tag;

The processing unit 903 is specifically configured to perform data matching in the offline data template set according to a module combination corresponding to the interaction hotspot module, so as to configure the offline data template including the interaction hotspot module.

Optionally, in some possible implementations of the present application, the processing unit 903 is specifically configured to determine a tag set corresponding to the offline data template set;

the processing unit 903 is specifically configured to determine a similarity between the object tag and a tag in the tag set, so as to obtain similarity information;

the processing unit 903 is specifically configured to determine a target tag from the tag set according to the similarity information;

the processing unit 903 is specifically configured to determine a corresponding offline data template based on the target tag.

Optionally, in some possible implementations of the present application, the processing unit 903 is specifically configured to determine a statistical period range corresponding to the behavior data;

the processing unit 903 is specifically configured to determine a target tag dimension based on the statistical period range;

the processing unit 903 is specifically configured to determine a tag set corresponding to the offline data template set based on the target tag dimension.

Optionally, in some possible implementations of the present application, the processing unit 903 is specifically configured to determine an interaction module indicated by the behavior data;

the processing unit 903 is specifically configured to determine operation information corresponding to the interaction module according to the behavior data;

the processing unit 903 is specifically configured to perform area adjustment on a corresponding module in the offline data template based on the operation validity information indicated by the operation information, so as to determine offline data corresponding to the object tag.

Optionally, in some possible implementations of the present application, the processing unit 903 is specifically configured to determine text information included in the interaction module;

the processing unit 903 is specifically configured to perform information matching based on the text information to determine associated information;

the processing unit 903 is specifically configured to update information of the low-heat module in the target interface according to the association information.

Optionally, in some possible implementations of the present application, the acquiring unit 901 is specifically configured to determine a prediction period;

the acquiring unit 901 is specifically configured to acquire, based on the prediction period, the behavior data of the target object in the target interface;

The determining unit 902 is specifically configured to determine a configuration tag of the target object in a previous cycle corresponding to the prediction cycle;

the determining unit 902 is specifically configured to parse the behavior data to determine tag update information;

the determining unit 902 is specifically configured to update the configuration tag to the object tag based on the tag update information.

The embodiment of the present application further provides a terminal device, as shown in fig. 10, which is a schematic structural diagram of another terminal device provided in the embodiment of the present application, for convenience of explanation, only the portion related to the embodiment of the present application is shown, and specific technical details are not disclosed, please refer to the method portion of the embodiment of the present application. The terminal may be any terminal device including a mobile phone, a tablet computer, a personal digital assistant (personal digital assistant, PDA), a point of sale (POS), a vehicle-mounted computer, and the like, taking the terminal as an example of the mobile phone:

fig. 10 is a block diagram showing a part of the structure of a mobile phone related to a terminal provided by an embodiment of the present application. Referring to fig. 10, the mobile phone includes: radio Frequency (RF) circuitry 1010, memory 1020, input unit 1030, display unit 1040, sensor 1050, audio circuitry 1060, wireless fidelity (wireless fidelity, wiFi) module 1070, processor 1080, and power source 1090. It will be appreciated by those skilled in the art that the handset construction shown in fig. 10 is not limiting of the handset and may include more or fewer components than shown, or may combine certain components, or a different arrangement of components.

The following describes the components of the mobile phone in detail with reference to fig. 10:

the RF circuit 1010 may be used for receiving and transmitting signals during a message or a call, and particularly, after receiving downlink information of a base station, the signal is processed by the processor 1080; in addition, the data of the design uplink is sent to the base station. Typically, the RF circuitry 1010 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier (low noise amplifier, LNA), a duplexer, and the like. In addition, the RF circuitry 1010 may also communicate with networks and other devices via wireless communications. The wireless communications may use any communication standard or protocol including, but not limited to, global system for mobile communications (global system of mobile communication, GSM), general packet radio service (general packet radio service, GPRS), code division multiple access (code division multiple access, CDMA), wideband code division multiple access (wideband code division multiple access, WCDMA), long term evolution (long term evolution, LTE), email, short message service (short messaging service, SMS), and the like.

The memory 1020 may be used to store software programs and modules that the processor 1080 performs various functional applications and data processing of the handset by executing the software programs and modules stored in the memory 1020. The memory 1020 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data (such as audio data, phonebook, etc.) created according to the use of the handset, etc. In addition, memory 1020 may include high-speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state memory device.

The input unit 1030 may be used to receive input numeric or character information and generate key signal inputs related to user settings and function control of the handset. In particular, the input unit 1030 may include a touch panel 1031 and other input devices 1032. The touch panel 1031, also referred to as a touch screen, may collect touch operations thereon or thereabout by a user (e.g., operations of the user on the touch panel 1031 or thereabout by using any suitable object or accessory such as a finger, a stylus, etc., and spaced touch operations within a certain range on the touch panel 1031) and drive the corresponding connection device according to a predetermined program. Alternatively, the touch panel 1031 may include two parts, a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device and converts it into touch point coordinates, which are then sent to the processor 1080 and can receive commands from the processor 1080 and execute them. Further, the touch panel 1031 may be implemented in various types such as resistive, capacitive, infrared, and surface acoustic wave. The input unit 1030 may include other input devices 1032 in addition to the touch panel 1031. In particular, other input devices 1032 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a track ball, a mouse, a joystick, etc.

The display unit 1040 may be used to display information input by a user or information provided to the user and various menus of the mobile phone. The display unit 1040 may include a display panel 1041, and alternatively, the display panel 1041 may be configured in the form of a liquid crystal display (liquid crystal display, LCD), an organic light-emitting diode (OLED), or the like. Further, the touch panel 1031 may overlay the display panel 1041, and when the touch panel 1031 detects a touch operation thereon or thereabout, the touch panel is transferred to the processor 1080 to determine a type of touch event, and then the processor 1080 provides a corresponding visual output on the display panel 1041 according to the type of touch event. Although in fig. 10, the touch panel 1031 and the display panel 1041 are two independent components to implement the input and output functions of the mobile phone, in some embodiments, the touch panel 1031 and the display panel 1041 may be integrated to implement the input and output functions of the mobile phone.

The handset may also include at least one sensor 1050, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, wherein the ambient light sensor may adjust the brightness of the display panel 1041 according to the brightness of ambient light, and the proximity sensor may turn off the display panel 1041 and/or the backlight when the mobile phone moves to the ear. As one of the motion sensors, the accelerometer sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and direction when stationary, and can be used for applications of recognizing the gesture of a mobile phone (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. that may also be configured with the handset are not described in detail herein.

Audio circuitry 1060, a speaker 1061, and a microphone 1062 may provide an audio interface between a user and a cell phone. Audio circuit 1060 may transmit the received electrical signal after audio data conversion to speaker 1061 for conversion by speaker 1061 into an audio signal output; on the other hand, microphone 1062 converts the collected sound signals into electrical signals, which are received by audio circuit 1060 and converted into audio data, which are processed by audio data output processor 1080 for transmission to, for example, another cell phone via RF circuit 1010 or for output to memory 1020 for further processing.

WiFi belongs to a short-distance wireless transmission technology, and a mobile phone can help a user to send and receive emails, browse webpages, access streaming media and the like through a WiFi module 1070, so that wireless broadband Internet access is provided for the user. Although fig. 10 shows a WiFi module 1070, it is understood that it does not belong to the necessary constitution of the handset, and can be omitted entirely as required within the scope of not changing the essence of the invention.

Processor 1080 is the control center of the handset, connects the various parts of the entire handset using various interfaces and lines, and performs various functions and processes of the handset by running or executing software programs and/or modules stored in memory 1020 and invoking data stored in memory 1020, thereby performing overall monitoring of the handset. Optionally, processor 1080 may include one or more processing units; alternatively, processor 1080 may integrate an application processor primarily handling operating systems, user interfaces, applications, etc., with a modem processor primarily handling wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 1080.

The handset further includes a power source 1090 (e.g., a battery) for powering the various components, optionally in logical communication with the processor 1080 via a power management system, such as for managing charge, discharge, and power consumption by the power management system.

Although not shown, the mobile phone may further include a camera, a bluetooth module, etc., which will not be described herein.

In the embodiment of the present application, the processor 1080 included in the terminal also has a function of executing each step of the page processing method as described above.

Referring to fig. 11, fig. 11 is a schematic structural diagram of a server according to an embodiment of the present application, where the server 1100 may have a relatively large difference due to different configurations or performances, and may include one or more central processing units (central processing units, CPU) 1122 (e.g., one or more processors) and a memory 1132, and one or more storage media 1130 (e.g., one or more mass storage devices) storing application programs 1142 or data 1144. Wherein the memory 1132 and the storage medium 1130 may be transitory or persistent. The program stored on the storage medium 1130 may include one or more modules (not shown), each of which may include a series of instruction operations on a server. Still further, the central processor 1122 may be provided in communication with a storage medium 1130, executing a series of instruction operations in the storage medium 1130 on the server 1100.

The server 1100 may also include one or more power supplies 1126, one or more wired or wireless network interfaces 1150, one or more input-output interfaces 1158, and/or one or more operating systems 1141, such as Windows Server, mac OS XTM, unixTM, linuxTM, freeBSDTM, etc.

The steps performed by the management apparatus in the above-described embodiments may be based on the server structure shown in fig. 11.

In an embodiment of the present application, there is further provided a computer readable storage medium having stored therein processing instructions of offline data, which when executed on a computer, cause the computer to perform steps performed by an offline data processing apparatus in a method as described in the foregoing embodiments shown in fig. 3 to 8.

In an embodiment of the application, there is also provided a computer program product comprising processing instructions for offline data, which when run on a computer causes the computer to perform the steps performed by the offline data processing apparatus in the method described in the embodiment of fig. 3 to 8.

The embodiment of the application also provides a system for processing the offline data, which can comprise the offline data processing device in the embodiment shown in fig. 9, or the terminal equipment in the embodiment shown in fig. 10, or the server shown in fig. 11.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.

In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or partly in the form of a software product, or all or part of the technical solution, which is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, an offline data processing apparatus, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (random access memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.

The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for processing offline data, comprising:

acquiring behavior data of a target object in a target interface;

2. The method of claim 1, wherein the configuring data in the offline data template set according to the object tag to determine the offline data template corresponding to the object tag comprises:

Determining a functional module contained in the target interface;

3. The method of claim 1, wherein the configuring data in the offline data template set according to the object tag to determine the offline data template corresponding to the object tag comprises:

determining a label set corresponding to the offline data template set;

and determining a corresponding offline data template based on the target tag.

4. The method of claim 3, wherein the determining the set of labels corresponding to the set of offline data templates comprises:

determining a statistical period range corresponding to the behavior data;

determining a target tag dimension based on the statistical period range;

5. The method of claim 1, wherein the adjusting the offline data template according to the behavior data to determine the offline data corresponding to the object tag comprises:

an interaction module for determining the behavior data indication;

6. The method of claim 5, wherein the method further comprises:

determining text information contained in the interaction module;

7. The method of claim 1, wherein the obtaining behavior data of the target object in the target interface comprises:

determining a prediction period;

analyzing the behavior data to determine tag update information;

8. An apparatus for processing offline data, comprising:

9. A computer device, the computer device comprising a processor and a memory:

the memory is used for storing program codes; the processor is configured to perform the method of processing offline data according to any one of claims 1 to 7 according to instructions in the program code.

10. A computer program product comprising computer programs/instructions stored on a computer readable storage medium, characterized in that the computer programs/instructions in the computer readable storage medium, when executed by a processor, implement the steps of the method of processing offline data according to any of the preceding claims 1 to 7.