CN113672223A

CN113672223A - Data display method, device, equipment and storage medium

Info

Publication number: CN113672223A
Application number: CN202110957310.2A
Authority: CN
Inventors: 王柏成; 于文; 任含; 葛又嘉; 蔡维民
Original assignee: Baidu Online Network Technology Beijing Co Ltd
Current assignee: Baidu Online Network Technology Beijing Co Ltd
Priority date: 2021-08-17
Filing date: 2021-08-17
Publication date: 2021-11-19

Abstract

The disclosure provides a data display method, a data display device, data display equipment and a storage medium, and relates to the technical field of computers, in particular to the technical field of clients. The specific implementation scheme is as follows: determining a page data model corresponding to the model selection instruction in the plurality of page data models as a target data model; determining an object matched with the object selection rule in the plurality of objects as a target object; determining a target video file corresponding to the target object according to the binding relationship between the video file and the object; and generating a target page according to the target data model so as to display the target object and the target video file through the target page.

Description

Data display method, device, equipment and storage medium

Technical Field

The present disclosure relates to the field of computer technology, and more particularly, to the field of client technology.

Background

In an application scenario of e-commerce traffic distribution, an operator of a traffic distribution platform needs to display a recently sold commodity through a page to attract a user to browse or purchase. In the application scenario, the sources of the commodities are very wide, operators need to coordinate various source parties to select the commodities to be displayed, and manually configure pages for displaying the commodities, so that a large amount of manpower is required.

Disclosure of Invention

The disclosure provides a data display method, device, equipment and storage medium.

According to an aspect of the present disclosure, there is provided a data presentation method, including: determining a page data model corresponding to the model selection instruction in the plurality of page data models as a target data model; determining an object matched with the object selection rule in the plurality of objects as a target object; determining a target video file corresponding to the target object according to the binding relationship between the video file and the object; and generating a target page according to the target data model so as to display the target object and the target video file through the target page.

According to another aspect of the present disclosure, there is provided a data presentation apparatus including: the model determining module is used for determining a page data model corresponding to the model selecting instruction in the multiple page data models as a target data model; the object determination module is used for determining an object matched with the object selection rule in the plurality of objects as a target object; the video determining module is used for determining a target video file corresponding to the target object according to the binding relationship between the video file and the object; and the generating module is used for generating a target page according to the target data model so as to display the target object and the target video file through the target page.

Another aspect of the present disclosure provides an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the embodiments of the present disclosure.

According to another aspect of the disclosed embodiments, there is provided a non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method shown in the disclosed embodiments.

According to another aspect of the embodiments of the present disclosure, there is provided a computer program product comprising computer programs/instructions, wherein the computer programs/instructions, when executed by a processor, implement the method shown in the embodiments of the present disclosure.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

fig. 1 is a schematic view of an application scenario of a data presentation method, an apparatus, an electronic device and a storage medium according to an embodiment of the present disclosure;

FIG. 2 schematically shows a flow diagram of a data presentation method according to an embodiment of the present disclosure;

FIG. 3 schematically shows a schematic diagram of a page data model according to an embodiment of the disclosure;

FIG. 4 schematically illustrates a flow chart of a data presentation method according to another embodiment of the present disclosure;

FIG. 5 schematically illustrates a flow chart of a data presentation method according to another embodiment of the present disclosure;

FIG. 6 is a diagram schematically illustrating a method of determining a binding relationship of a video file to an object according to an embodiment of the present disclosure;

FIG. 7 schematically illustrates a block diagram of a data presentation device according to an embodiment of the present disclosure; and

FIG. 8 schematically shows a block diagram of an example electronic device that may be used to implement embodiments of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below with reference to the accompanying drawings, in which various details of the embodiments of the disclosure are included to assist understanding, and which are to be considered as merely exemplary. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

An application scenario of the method and apparatus provided by the present disclosure will be described below with reference to fig. 1.

Fig. 1 is a schematic view of an application scenario of a data presentation method, an apparatus, an electronic device, and a storage medium according to an embodiment of the present disclosure.

As shown in fig. 1, the application scenario 100 includes a service end (Business end, referred to as B end) 110, a user end (client end, referred to as C end) 120, at least one object information source 130, and at least one video file source 140.

Where business end 110 may be used to serve a business or organization and user end 120 may be used to serve individual users. The object information source 130 may be used to provide information about the object to be presented (or simply the object). The video file source 140 may be used to provide a video file corresponding to the object. In this embodiment, the object may be a commodity, for example. The video file corresponding to the object may be, for example, a short video or a long video. The service end 110 and the user end 120 may belong to the same traffic distribution platform. The object information source 130 may include an e-commerce platform.

According to an embodiment of the present disclosure, the service end 110 and the user end 120 may respectively have a commodity library for storing an identification of a commodity, such as a SKU (Stock Keeping Uint).

Under the small program e-commerce distribution scene, the sources of the commodities are wide, the number of the SKUs of the commodities is huge, and the SKUs of the commodities can be stored in a commodity library of the business terminal 110. If the user terminal 120 directly calls the commodity library of the service terminal 110, the system performance and stability cannot be guaranteed. Therefore, in this embodiment, the merchandise to be displayed may be first imported into the merchandise library of the user terminal 120. The importing may be in an offline timed task manner. For example, the importing rule may be first agreed with the object information source 130, and the service end 110 may be imported according to the importing rule. Then, the product SKUs in the product library of the business terminal 110 can be read through the offline timing task, and the product library of the user terminal 120 is updated according to the SKUs. The goods to be displayed in the page can then be selected by means of manual or automatic selection. For the automatic selection mode, attributes such as a first-level category of the product, a price of the product, and a marketing label (for example, hot sales, high sales volume) may be configured in advance to obtain the object selection rule. The commodity configuration can then be derived by selecting a commodity SKU of the specified quantity of the commodity that matches the object selection rule according to the object selection rule. In addition, in order to ensure the real-time effectiveness of the on-line displayed commodities, the commodity configuration can be automatically removed from the stock-free commodities and the SKUs of the off-shelf commodities, and when the number of the SKUs in the commodity configuration is lower than a threshold value, the commodity configuration can be automatically supplemented through a commodity supplementation strategy.

According to the embodiment of the present disclosure, most of the commodities recorded in the commodity library of the service end 110 do not have corresponding video files, and the specifications of the video files of the commodities containing the video files are not uniform.

In accordance with embodiments of the present disclosure, to visualize a commodity, the video source may be extended. In this embodiment, the extended video file sources 140 may include homemade users, web crawlers, professional video producers, object information sources 130 corresponding to commodities, and the like. After the service end 110 obtains the video file of the commodity, the video file can be stored in a commodity library of the service end 110. In this embodiment, the video files of the commodities in the commodity library of the service end 110 may be preprocessed to unify the specifications. According to the embodiment of the present disclosure, tags, such as a commodity name tag, a video type tag, and the like, may be configured for all video files. And then storing the video file, and correspondingly storing the label and other attribute information of the video file as meta information.

The commodity library of the user terminal 120 is used as a commodity source, and a plurality of commodities which are most matched with the meta information of the video file in the commodity library of the user terminal 120 are calculated. For example, the score can be retrieved by using the ES word-cutting full text, and finally, the association relationship between the meta information of the video file and several commodities with the highest score can be stored as semi-processed data.

The video files can be audited manually and the video files which best meet the requirements can be selected and bound with the commodities. And synchronously update the meta information of the video file to the commodity library of the service end 110 and the commodity library of the user end 120, and then upload the video file to the service end 110 for storage.

When the commodity is displayed in the page, the video corresponding to the commodity can be determined according to the stored binding relationship between the commodity and the video, and the video is displayed at the corresponding position in the page, so that the purpose of commodity visualization is achieved.

In the technical scheme of the present disclosure, the acquisition, storage, application, and the like of the data such as the related commodity information and the video file all conform to the regulations of the related laws and regulations, and do not violate the good custom of the public order.

Fig. 2 schematically shows a flow chart of a data presentation method according to an embodiment of the present disclosure.

As shown in fig. 2, the data presentation method includes determining a page data model corresponding to a model selection instruction among a plurality of page data models as a target data model in operation S210.

Then, an object matching the object selection rule among the plurality of objects is determined as a target object in operation S220.

In operation S230, a target video file corresponding to the target object is determined according to the binding relationship between the video file and the object.

In operation S240, a target page is generated according to the target data model, so that the target object and the target video file are presented through the target page.

According to an embodiment of the present disclosure, the object may include, for example, a commodity. The page may be used to display the object and a video file corresponding to the object, and the page may refer to, for example, a page of a website or a page of a program. The program may be an applet or a program other than an applet.

According to an embodiment of the present disclosure, the object selection rule may be used to define, for example, attributes of the object, such as name, type, number, validity, and the like of the object. Based on this, an object satisfying the definitions of the items in the object selection rule can be determined as the target object.

According to the embodiment of the disclosure, a plurality of page data models can be preset, and the page data models can be used for representing configuration information such as styles and layouts of pages. In the process of practical application, a proper page data model can be selected from a plurality of page data models according to actual needs to serve as a target page model.

The page data model shown above is further described with reference to FIG. 3 in conjunction with specific embodiments. Those skilled in the art will appreciate that the following example embodiments are only for the understanding of the present disclosure, and the present disclosure is not limited thereto.

FIG. 3 schematically shows a schematic diagram of a page data model according to an embodiment of the disclosure.

According to embodiments of the present disclosure, pages may be abstracted into a page data model. For example, as shown in fig. 3, the page data model divides the page for presenting the object into a hierarchy of page (page), layout (1ayout), module (module), material (material), and the like.

Where a page may represent an individual page. A plurality of page layouts can be configured in each page, and flexible layout switching can be performed on the same page so as to be used for scenes such as AB test. Each page layout may be configured with a plurality of modules for supporting various component presentations, which may include components such as headings, banners (banners), waterfall streams, buddies, and the like. A plurality of materials can be configured in the module, and the materials can support a plurality of resources, wherein the resources can comprise pictures, characters, videos and the like. The feed also supports various types of jumps, such as applet jumps, APP jumps, H5(HTML5, Hypertext transfer protocol 5) page jumps, and so forth. One or more object display positions can also be configured in the material. When a plurality of object display positions are configured in the material, the plurality of object display positions can be displayed in the form of an object list.

Based on this, according to embodiments of the present disclosure, the page data model may include, for example, page data, page layout data, module data, material data. The page data may include various configuration information of the page, the page layout data may include various configuration information of the page layout, the module data may include various configuration information of the module, and the material data may include various configuration information of the material.

According to the embodiment of the disclosure, the original page can be generated according to the page data. At least one module is then added to the original page according to the page layout data and the module data. And adding at least one material into at least one module according to the material data to obtain a target page.

According to the embodiment of the disclosure, the target material corresponding to the target object in the target page can be determined. Wherein the target material includes at least one object display location. And displaying the target object and the target video file corresponding to the target object in at least one object display position.

According to the embodiment of the disclosure, when the target object and the target video are displayed, for example, information such as the name, the identification, the price and the picture of the target object can be displayed in the object display position. When the target video is displayed, for example, the target video may be played in the object display position, or a representative diagram and/or an identifier of a video file may be displayed in the object display position, and the target video may be played after the representative diagram and/or the identifier is clicked by the user.

According to other embodiments of the present disclosure, in the process of displaying the target object and the target video file through the target page, the validity of the target object may be monitored, and if the validity of the target object changes from valid to invalid, the target video of the target object in the target page may be deleted, and then a new target object and a new target video are determined according to the data display method, and the new target object and the new target video are displayed through the target page.

According to the data display method disclosed by the embodiment of the disclosure, an operator can flexibly configure the object and the page to be displayed, and the object is displayed through the page. In addition, the method supports the display of the object in a video file mode, so that the user experience can be enhanced, and the click rate of the user is improved.

According to an embodiment of the present disclosure, the binding relationship of the video file and the object may be predetermined. Based on this, fig. 4 schematically shows a flow chart of a data presentation method according to another embodiment of the present disclosure.

As shown in fig. 4, the data presentation method 400 includes acquiring a plurality of video files in operation S410.

Wherein the plurality of video files includes a target video file.

In operation S420, for each of the plurality of video files, a matching degree of the video file with each of the plurality of objects is calculated according to the meta information of the video file.

Then, in operation S430, a matching object among the plurality of objects is determined according to the matching degree.

In operation S440, the video file is bound to the matching object, so as to obtain a binding relationship between the video file and the matching object.

In operation S450, a page data model corresponding to the model selection instruction among the plurality of page data models is determined as a target data model.

In operation S460, an object matching the import rule among the plurality of objects is determined as a target object.

In operation S470, a target video file corresponding to the target object is determined according to the binding relationship between the video file and the object.

In operation S480, a target page is generated according to the target data model, so that the target object and the target video file are displayed through the target page.

For example, reference may be made to the above in operations S450 to S480 according to an embodiment of the present disclosure, and details are not described herein again.

According to the embodiment of the present disclosure, for example, an ES (flexible search) engine may be used to perform word segmentation processing on meta information of a video, perform full-text search on a plurality of objects according to a word segmentation result, and calculate a matching degree of the meta information with each object.

According to the embodiment of the present disclosure, an object having the highest matching degree among the candidate objects may be directly selected as a matching object. According to other embodiments of the present disclosure, an object, of which the matching degree exceeds a threshold matching degree, may also be determined as a candidate object. The matching degree threshold value can be set according to actual needs. And then responding to the selection operation of the user, and determining the candidate object selected by the selection operation in the candidate objects as a matching object. According to an embodiment of the present disclosure, for each video file, a tag of the video file is determined. And determining the meta information of the video file according to the label. Tags may be used to represent attributes of a video file, and may include, for example, a name tag, a type tag, and so forth. It should be noted that the meta information may include a tag of the video file, and may also include other attribute information of the video file besides the tag, which is not specifically limited in this disclosure.

The tags of the video files may also be automatically set by the machine according to embodiments of the present disclosure. For example, a machine learning model may be used to analyze attributes of a video file to obtain a label for the video file. The machine learning model may be used to analyze attributes of the video file, for example, the object is a commodity, and the attributes may include category, price, sales volume, and the like. It should be noted that the internal structure and the training mode of the machine learning model are not specifically limited by the present disclosure. In a specific application scenario, the internal structure of the machine learning model can be set according to actual needs and the training mode of the machine learning model can be selected.

According to other embodiments of the present disclosure, the tags of the video files may also be set manually. For example, tag information input by a user for a video file may be received as a tag of the video file.

According to the embodiment of the disclosure, the binding relationship is obtained by binding the video file and the object, when the object is displayed, the video corresponding to the object can be determined according to the binding relationship, and the object is displayed in a video file manner, so that the user experience can be enhanced, and the click rate of the user can be improved.

Fig. 5 schematically shows a flow chart of a data presentation method according to another embodiment of the present disclosure.

As shown in fig. 5, the data presentation method 500 includes acquiring a plurality of video files in operation S510. Wherein the plurality of video files includes a target video file.

In operation S520, a plurality of video files are preprocessed.

Then, in operation S530, for each of the plurality of video files, a matching degree of the video file with each of the plurality of objects is calculated according to the meta information of the video file.

In operation S540, a matching object among the plurality of objects is determined according to the matching degree.

In operation S550, the video file is bound to the matching object, so as to obtain a binding relationship between the video file and the matching object.

In operation S560, a page data model corresponding to the model selection instruction among the plurality of page data models is determined as the target data model.

In operation S570, an object matching the import rule among the plurality of objects is determined as a target object.

In operation S580, a target video file corresponding to the target object is determined according to the binding relationship between the video file and the object.

In operation S590, a target page is generated according to the target data model, so that the target object and the target video file are displayed through the target page.

For example, reference may be made to the above in operations S510 and S530 to S590, which are not described herein again.

According to embodiments of the present disclosure, the pre-processing may include, for example, one or more of resolution adjustment, rate adjustment, format conversion. For video files from different sources, the specifications of the video files are not uniform, which is not favorable for display. Therefore, the specifications of a plurality of video files can be unified through preprocessing, thereby facilitating display.

The method for determining the binding relationship between the video file and the object shown above is further described with reference to fig. 6 in conjunction with a specific embodiment. Those skilled in the art will appreciate that the following example embodiments are only for the understanding of the present disclosure, and the present disclosure is not limited thereto.

Fig. 6 schematically shows a schematic diagram of a method for determining a binding relationship of a video file and an object according to an embodiment of the present disclosure.

As shown in fig. 6, the video file may be pre-processed. For the preprocessed video file, a machine learning model can be used for analyzing the attribute of the video file to obtain the label of the video file. And/or may receive tag information input by a user for the video file as a tag of the video file. Then, according to the tag, meta information of the video file is determined. And then carrying out word segmentation on the meta-information of the video file, and calculating the matching degree of the meta-information and each object according to word segmentation results.

According to the embodiment of the present disclosure, an object having the highest matching degree among the candidate objects may be directly selected as a matching object. According to other embodiments of the present disclosure, an object, of which the matching degree exceeds a threshold matching degree, may also be determined as a candidate object. And then responding to the selection operation of the user, and determining the candidate object selected by the selection operation in the candidate objects as a matching object. Then, the video file and the matching object can be bound to obtain a corresponding binding relationship, and the binding relationship is stored.

FIG. 7 schematically illustrates a block diagram of a data presentation device according to an embodiment of the present disclosure.

As shown in fig. 7, the data presentation apparatus 700 includes a model determination module 710, an object determination module 720, a video determination module 730, and a generation module 740.

The model determining module 710 may be configured to determine, as the target data model, a page data model corresponding to the model selecting instruction from the plurality of page data models.

The object determination module 720 may be configured to determine an object matching the object selection rule from the plurality of objects as the target object.

The video determining module 730 may be configured to determine a target video file corresponding to the target object according to the binding relationship between the video file and the object.

The generating module 740 may be configured to generate a target page according to the target data model, so as to display the target object and the target video file through the target page.

According to an embodiment of the present disclosure, each of the plurality of page data models may include page data, page layout data, module data, and material data.

According to an embodiment of the present disclosure, the generating module may include a generating submodule, a first adding submodule, and a second adding submodule. The generating submodule may be configured to generate an original page according to the page data. The first adding submodule can be used for adding at least one module in the original page according to the page layout data and the module data. And the second adding submodule can be used for adding at least one material into at least one module according to the material data to obtain a target page.

According to an embodiment of the present disclosure, the data presentation apparatus may further include a presentation bit determination module and a presentation module. The display position determining module may be configured to determine a target material corresponding to a target object in a target page, where the target material may include at least one object display position. The display module may be configured to display a target video file corresponding to a target object in at least one object display position.

According to the embodiment of the disclosure, the data presentation device may further include an acquisition module, a calculation module, a matching module, and a binding module. The obtaining module may be configured to obtain a plurality of video files, where the plurality of video files include a target video file. The calculation module may be configured to calculate, for each of the plurality of video files, a matching degree between the video file and each of the plurality of objects according to the meta information of the video file. The matching module may be configured to determine a matching object of the plurality of objects according to the matching degree. And the binding module can be used for binding the video file with the matching object.

According to an embodiment of the present disclosure, the matching module may include a candidate object determination sub-module and a matching object determination sub-module. The candidate object determination sub-module may be configured to determine, as a candidate object, an object of which a matching degree exceeds a matching degree threshold in the plurality of objects. And the matching object determining submodule can be used for responding to the selection operation of the user and determining the candidate object selected by the selection operation in the candidate objects as the matching object.

According to an embodiment of the present disclosure, the data presentation apparatus may further include a tag determination module and a meta information determination module. The tag determination module may be configured to determine, for each video file, a tag of the video file. And the meta information determining module can be used for determining the meta information of the video file according to the label.

According to an embodiment of the present disclosure, the tag determination module may include an analysis sub-module, which may be configured to analyze attributes of the video file using a machine learning model to obtain a tag of the video file.

According to an embodiment of the present disclosure, the tag determination module may include a receiving sub-module, which may be configured to receive tag information input by a user for a video file as a tag of the video file.

According to an embodiment of the present disclosure, the data presentation apparatus further includes a preprocessing module for preprocessing the plurality of video files. The preprocessing may include one or more of resolution adjustment, rate adjustment, and format conversion.

The present disclosure also provides an electronic device, a readable storage medium, and a computer program product according to embodiments of the present disclosure.

Fig. 8 schematically illustrates a block diagram of an example electronic device 800 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 8, the apparatus 800 includes a computing unit 801 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM)802 or a computer program loaded from a storage unit 808 into a Random Access Memory (RAM) 803. In the RAM803, various programs and data required for the operation of the device 800 can also be stored. The calculation unit 801, the ROM802, and the RAM803 are connected to each other by a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.

A number of components in the device 800 are connected to the I/O interface 805, including: an input unit 806, such as a keyboard, a mouse, or the like; an output unit 807 such as various types of displays, speakers, and the like; a storage unit 808, such as a magnetic disk, optical disk, or the like; and a communication unit 809 such as a network card, modem, wireless communication transceiver, etc. The communication unit 809 allows the device 800 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.

Computing unit 801 may be a variety of general and/or special purpose processing components with processing and computing capabilities. Some examples of the computing unit 801 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, and the like. The computing unit 801 performs the various methods and processes described above, such as the data presentation method. For example, in some embodiments, the data presentation method may be implemented as a computer software program tangibly embodied in a machine-readable medium, such as storage unit 808. In some embodiments, part or all of the computer program can be loaded and/or installed onto device 800 via ROM802 and/or communications unit 809. When loaded into RAM803 and executed by computing unit 801, may perform one or more of the steps of the data presentation method described above. Alternatively, in other embodiments, the computing unit 801 may be configured to perform the data presentation method in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, Field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.

The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.

It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present disclosure may be executed in parallel, sequentially, or in different orders, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved, and the present disclosure is not limited herein.

The above detailed description should not be construed as limiting the scope of the disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present disclosure should be included in the scope of protection of the present disclosure.

Claims

1. A method of data presentation, comprising:

determining a page data model corresponding to the model selection instruction in the plurality of page data models as a target data model;

determining an object matched with the object selection rule in the plurality of objects as a target object;

determining a target video file corresponding to the target object according to the binding relationship between the video file and the object; and

and generating a target page according to the target data model so as to display the target object and the target video file through the target page.

2. The method of claim 1, wherein each of the plurality of page data models comprises page data, page layout data, module data, material data; the generating a target page according to the target data model comprises:

generating an original page according to the page data;

adding at least one module in the original page according to the page layout data and the module data; and

and adding at least one material into the at least one module according to the material data to obtain the target page.

3. The method of claim 2, further comprising: displaying the target object and the target video file through the target page comprises:

determining a target material corresponding to the target object in the target page, wherein the target material comprises at least one object display position; and

and displaying the target object and a target video file corresponding to the target object in the at least one object display position.

4. The method of claim 1, further comprising:

acquiring a plurality of video files, wherein the plurality of video files comprise the target video file;

for each of the plurality of video files,

calculating the matching degree of the video file and each object in the plurality of objects according to the meta information of the video file;

determining a matching object in the plurality of objects according to the matching degree; and

and binding the video file and the matching object to obtain the binding relationship between the video file and the matching object.

5. The method of claim 4, wherein said determining a matching object of the plurality of objects according to the degree of matching comprises:

determining objects with matching degree exceeding a threshold value of the matching degree in the plurality of objects as candidate objects; and

and responding to the selection operation of the user, and determining the candidate object selected by the selection operation in the candidate objects as the matching object.

6. The method of claim 4, further comprising:

for each video file, determining a label of the video file; and

and determining the meta information of the video file according to the label.

7. The method of claim 6, wherein the determining the tag of the video file comprises:

and analyzing the attributes of the video file by using a machine learning model to obtain the label of the video file.

8. The method of claim 6, wherein the determining the tag of the video file comprises:

and receiving label information input by a user aiming at the video file as a label of the video file.

9. The method of claim 1, further comprising:

and preprocessing the plurality of video files, wherein the preprocessing comprises one or more of resolution adjustment, code rate adjustment and format conversion.

10. A data presentation device comprising:

the model determining module is used for determining a page data model corresponding to the model selecting instruction in the multiple page data models as a target data model;

the object determination module is used for determining an object matched with the object selection rule in the plurality of objects as a target object;

the video determining module is used for determining a target video file corresponding to the target object according to the binding relationship between the video file and the object; and

and the generating module is used for generating a target page according to the target data model so as to display the target object and the target video file through the target page.

11. The apparatus of claim 10, wherein each of the plurality of page data models comprises page data, page layout data, module data, material data; the generation module comprises:

the generating submodule is used for generating an original page according to the page data;

the first adding submodule is used for adding at least one module in the original page according to the page layout data and the module data; and

and the second adding submodule is used for adding at least one material into the at least one module according to the material data to obtain the target page.

12. The apparatus of claim 11, further comprising: displaying the target object and the target video file through the target page comprises:

and displaying a target video file corresponding to the target object in the at least one object display position.

13. The apparatus of claim 10, further comprising:

an obtaining module, configured to obtain a plurality of video files, where the plurality of video files include the target video file;

the calculation module is used for calculating the matching degree of each video file and each object in the plurality of objects according to the meta information of the video file aiming at each video file in the plurality of video files;

a matching module, configured to determine, according to the matching degree, a matching object in the plurality of objects: and

and the binding module is used for binding the video file and the matching object.

14. The apparatus of claim 13, wherein the matching module comprises:

a candidate object determination submodule for determining, as candidate objects, objects whose matching degree exceeds a matching degree threshold value among the plurality of objects; and

and the matching object determining submodule is used for responding to the selection operation of the user and determining the candidate object selected by the selection operation in the candidate objects as the matching object.

15. The apparatus of claim 13, further comprising:

a tag determination module, configured to determine, for each video file, a tag of the video file; and

and the meta information determining module is used for determining the meta information of the video file according to the label.

16. The apparatus of claim 15, wherein the tag determination module comprises:

and the analysis submodule is used for analyzing the attributes of the video file by using a machine learning model to obtain the label of the video file.

17. The apparatus of claim 15, wherein the tag determination module comprises:

and the receiving submodule is used for receiving the label information input by the user aiming at the video file and taking the label information as the label of the video file.

18. The apparatus of claim 10, further comprising:

and the preprocessing module is used for preprocessing the plurality of video files, wherein the preprocessing comprises one or more of resolution adjustment, code rate adjustment and format conversion.

19. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-9.

20. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-9.

21. A computer program product comprising computer program/instructions, characterized in that the computer program/instructions, when executed by a processor, implement the steps of the method of any of claims 1-9.