CN110688525A - Material resource allocation method and device, electronic equipment and storage medium - Google Patents

Material resource allocation method and device, electronic equipment and storage medium Download PDF

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Publication number
CN110688525A
CN110688525A CN201910900057.XA CN201910900057A CN110688525A CN 110688525 A CN110688525 A CN 110688525A CN 201910900057 A CN201910900057 A CN 201910900057A CN 110688525 A CN110688525 A CN 110688525A
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China
Prior art keywords
target object
material resource
resource
material resources
resources
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CN201910900057.XA
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Chinese (zh)
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王倩
帕哈尔丁·帕力万
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Beijing Dajia Internet Information Technology Co Ltd
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Beijing Dajia Internet Information Technology Co Ltd
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Priority to CN201910900057.XA priority Critical patent/CN110688525A/en
Publication of CN110688525A publication Critical patent/CN110688525A/en
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/73—Querying
    • G06F16/735—Filtering based on additional data, e.g. user or group profiles
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/75—Clustering; Classification

Abstract

The disclosure relates to a material resource allocation method, a device, electronic equipment and a storage medium, relates to the technical field of computer application, and aims to solve the problem that expression arrangement sequences on a display panel are not beneficial to selection of a user in the related art, and the method comprises the following steps: responding to a video generation instruction input by a target object, and determining a material resource recommendation sequence of the target object through a trained material recommendation model, wherein the material resource recommendation sequence comprises a plurality of material resource identifications recommended for the target object; displaying the material resources to the target object according to the sequence of the identifiers in the material resource recommendation sequence; at least one material resource in the material resources displayed to the target object is preloaded. According to the method and the device, the material resource recommendation sequence for the target object is established by using the material recommendation model, so that personalized recommendation is realized, the target object is convenient to select, preloading is performed in advance, and the time for downloading the material resources is reduced.

Description

Material resource allocation method and device, electronic equipment and storage medium
Technical Field
The present disclosure relates to the field of computer application technologies, and in particular, to a method and an apparatus for configuring material resources, an electronic device, and a storage medium.
Background
With the development and popularization of terminal technology, some Application programs (APP) on the terminals have become important parts in people's lives. A user can use material resources to improve the satisfaction and surprise of the user in shooting videos (such as short videos), for example, magic expressions are used, and the magic expressions are technical applications that are attached to the head portrait of the user or other positions in the shooting process. Various magic expressions are added to the head portrait of a user through technologies such as face detection, positioning and image fusion, so that an interesting video is formed.
In the related art, in the existing video or camera APP application, the sequencing on the display panel is mostly displayed according to the new sequence of the material resources and the platform heat of the material resources, or based on a classification mode, and a user selects and uses the material resources in each column, but in the process of selecting the magic watch, the user needs to select each type of material resources one by one. However, when a lot of material resources are configured in the system, the user needs to browse each kind of material resources and try one by one to select a proper material resource, and it is difficult to find a favorite material resource for downloading, which results in a long time consumption when the user downloads the material resource, and reduces the efficiency of the user downloading the material resource.
In summary, the arrangement sequence of the material resources on the display panel is not favorable for the user to select, which results in time consumption when the user downloads the appropriate material resources.
Disclosure of Invention
The disclosure provides a material resource allocation method, a device, an electronic device and a storage medium, which are used for at least solving the problem that time is consumed when a user downloads a proper animation due to the fact that the animation arrangement sequence on a display panel is not beneficial to the selection of the user in the related art. The technical scheme of the disclosure is as follows:
according to a first aspect of the embodiments of the present disclosure, there is provided a material resource allocation method, including:
responding to a video generation instruction input by a target object, and determining a material resource recommendation sequence of the target object through a trained material recommendation model, wherein the material resource recommendation sequence comprises a plurality of material resource identifications recommended for the target object;
responding to a material resource display instruction input by the target object, and displaying the material resources to the target object according to the sequence of the identifiers in the material resource recommendation sequence;
and preloading at least one material resource in the material resources displayed to the target object.
In an optional implementation manner, the material recommendation model is obtained by training a material resource recommendation sequence as an output feature by using operation information of at least one object as an input feature.
In an optional implementation manner, the step of preloading at least one of the material resources for displaying the target object includes:
preloading un-downloaded material resources in the material resources corresponding to the identifiers of the first N material resources in the material resource recommendation sequence, wherein N is a positive integer; or
Randomly determining at least one un-downloaded material resource in the material resource recommendation sequence to pre-load; or
Selecting at least one un-downloaded material resource corresponding to the material type from the material resource recommendation sequence to pre-load according to the frequency of the material type used by the target object; or
Preloading at least one un-downloaded material resource related to the current position of the target object in the material resource recommendation sequence; or
And selecting at least one un-downloaded material resource from the material resource recommendation sequence to pre-load according to the new sequence of the material resources in the material resource recommendation sequence.
In an optional implementation manner, the step of preloading at least one of the material resources for displaying the target object includes:
and if the pre-loaded material resources comprise at least one sub-material resource, pre-loading the first M sub-material resources, wherein M is a positive integer.
In an optional implementation manner, after the step of preloading at least one of the material resources to be displayed to the target object, the method further includes:
and if the material resources selected by the target object are not preloaded, downloading the material resources selected by the target object.
In an optional implementation manner, the step of downloading the material resources selected by the target object includes:
and if the material resources which are being preloaded exist currently, suspending the preloaded material resources and downloading the material resources selected by the target object.
In an alternative embodiment, at least one of the material assets includes at least one sub-material asset; after the step of downloading the material resources selected by the target object, the method further comprises the following steps:
if the target object selects the sub-material resources in the material resources, preloading the next sub-material resource of the sub-material resources selected by the target object; and/or
And if the target object selects a sub-material resource in the material resources, preloading a next material resource of the material resources to which the sub-material resource belongs.
In an optional implementation manner, the step of preloading a material resource next to a material resource to which the child material resource belongs includes:
and if the next material resource comprises at least one sub-material resource, preloading the previous P sub-material resources in the at least one sub-material resource, wherein P is a positive integer.
In an optional implementation manner, after the step of downloading the material resources selected by the target object, the method further includes:
and if the material resources selected by the target object do not comprise the sub-material resources, preloading the next material resource of the material resources selected by the target object.
In an optional implementation manner, the step of preloading a material resource next to the material resource selected by the target object includes:
and if the next material resource comprises at least one sub-material resource, pre-loading the front Q sub-material resources in the at least one sub-material resource, wherein Q is a positive integer.
According to a second aspect of the embodiments of the present disclosure, there is provided a material resource allocation apparatus including:
a determining unit configured to execute a video generation instruction input in response to a target object, and determine a material resource recommendation sequence of the target object through a trained material recommendation model, wherein the material resource recommendation sequence comprises identifications of a plurality of material resources recommended for the target object;
the display unit is configured to execute material resource display instructions input in response to the target object and display the material resources to the target object according to the sequence of the marks in the material resource recommendation sequence;
and the downloading unit is configured to pre-load at least one of the material resources which are displayed to the target object.
In an optional implementation manner, the material recommendation model is obtained by training a material resource recommendation sequence as an output feature by using operation information of at least one object as an input feature.
In an alternative embodiment, the download unit is specifically configured to perform:
preloading un-downloaded material resources in the material resources corresponding to the identifiers of the first N material resources in the material resource recommendation sequence, wherein N is a positive integer; or
Randomly determining at least one un-downloaded material resource in the material resource recommendation sequence to pre-load; or
Selecting at least one un-downloaded material resource corresponding to the material type from the material resource recommendation sequence to pre-load according to the frequency of the material type used by the target object; or
Preloading at least one un-downloaded material resource related to the current position of the target object in the material resource recommendation sequence; or
And selecting at least one un-downloaded material resource from the material resource recommendation sequence to pre-load according to the new sequence of the material resources in the material resource recommendation sequence.
In an alternative embodiment, the download unit is specifically configured to perform:
and if the pre-loaded material resources comprise at least one sub-material resource, pre-loading the first M sub-material resources, wherein M is a positive integer.
In an alternative embodiment, the download unit is further configured to perform:
after at least one material resource in the material resources displayed to the target object is preloaded, if the material resource selected by the target object is not preloaded, the material resource selected by the target object is downloaded.
In an alternative embodiment, the download unit is specifically configured to perform:
and if the material resources which are being preloaded exist currently, suspending the preloaded material resources and downloading the material resources selected by the target object.
In an alternative embodiment, at least one of the material assets includes at least one sub-material asset;
the download unit is further configured to:
after downloading the material resources selected by the target object, if the target object selects the sub-material resources in the material resources, the target object selects the sub-material resources
Preloading a next sub-element resource of the sub-element resource selected by the target object; and/or
And preloading the next material resource of the material resource to which the sub-material resource selected by the target object belongs.
In an alternative embodiment, the download unit is specifically configured to perform:
and if the next material resource comprises at least one sub-material resource, preloading the previous P sub-material resources in the at least one sub-material resource, wherein P is a positive integer.
In an optional embodiment, the downloading unit is further configured to perform:
after downloading the material resources selected by the target object, if the material resources selected by the target object do not comprise the sub-material resources, preloading the next material resource of the material resources selected by the target object.
In an alternative embodiment, the download unit is specifically configured to perform:
and if the next material resource comprises at least one sub-material resource, pre-loading the front Q sub-material resources in the at least one sub-material resource, wherein Q is a positive integer.
According to a third aspect of the embodiments of the present disclosure, there is provided an electronic apparatus including:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the material resource allocation method according to any one of the first aspect of the embodiments of the present disclosure.
According to a fourth aspect of the embodiments of the present disclosure, there is provided a non-transitory readable storage medium, wherein instructions of the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the material resource allocation method of any one of the first aspect of the embodiments of the present disclosure.
According to a fifth aspect of the embodiments of the present disclosure, there is provided a computer program product, which, when run on an electronic device, causes the electronic device to execute a material resource allocation method that implements any one of the above first aspects of the embodiments of the present disclosure.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
according to the method and the device, the material recommendation model for performing expression recommendation on the target is constructed, the material resource recommendation sequence for the target object can be obtained through the trained material recommendation model, the corresponding material resources are displayed to the target object based on the material resource recommendation sequence, the sequencing of the display panel is customized for the target object, the personalized recommendation on the target object is realized, the recommended material resources are more suitable for the target object, and the target object is convenient to select; in addition, at least one of the material resources which are recommended for the target object in a personalized mode is preloaded, and then the target object does not need to be loaded when the preloaded material resources are selected, so that the time for the target object to download the material resources can be shortened.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure and are not to be construed as limiting the disclosure.
FIG. 1 is a schematic illustration of a first type of display panel shown in accordance with an exemplary embodiment;
FIG. 2 is a flow diagram illustrating a method for material resource allocation in accordance with an exemplary embodiment;
FIG. 3 is a flow diagram illustrating another method of material resource allocation in accordance with an exemplary embodiment;
FIG. 4A is a diagram illustrating a personalized recommendation list, according to an example embodiment;
FIG. 4B is a schematic illustration of a second display panel shown in accordance with an exemplary embodiment;
FIG. 5A is a diagram illustrating another personalized recommendation list, according to an example embodiment;
FIG. 5B is a schematic view of a third display panel shown in accordance with an exemplary embodiment;
FIG. 6 is a schematic flow diagram illustrating a hit magic expression preloading, according to an exemplary embodiment;
FIG. 7 is a flow diagram illustrating a complete method of material recommendation in accordance with an exemplary embodiment;
fig. 8 is a block diagram illustrating a material resource allocation apparatus according to an exemplary embodiment;
FIG. 9 is a block diagram illustrating an electronic device in accordance with an exemplary embodiment;
fig. 10 is a block diagram illustrating a terminal according to an example embodiment.
Detailed Description
In order to make the technical solutions of the present disclosure better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the disclosure described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Some of the words that appear in the text are explained below:
1. the term "and/or" in the embodiments of the present disclosure describes an association relationship of associated objects, and means that there may be three relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
2. The term "electronic equipment" in the embodiments of the present disclosure refers to equipment that is composed of electronic components such as integrated circuits, transistors, and electronic tubes, and functions by applying electronic technology (including) software, and includes electronic computers, robots controlled by the electronic computers, numerical control or program control systems, and the like.
3. The term "terminal" in the embodiments of the present disclosure refers to a mobile communication device, including a mobile phone, a computer, a tablet, a computer, a personal digital assistant, and the like.
4. The term "conversion rate" in the embodiment of the present disclosure refers to a ratio of the number of times of completing conversion behavior to the total number of clicks of the promotion information in one statistical period.
The application scenario described in the embodiment of the present disclosure is for more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not form a limitation on the technical solution provided in the embodiment of the present disclosure, and as a person having ordinary skill in the art knows, with the occurrence of a new application scenario, the technical solution provided in the embodiment of the present disclosure is also applicable to similar technical problems. Wherein, in the description of the present disclosure, unless otherwise indicated, "plurality" means.
The method is mainly applied to scenes such as video and photo shooting, wherein the material resources refer to properties or auxiliary tools for shooting and the like, and comprise special effects, magic expressions, stickers and the like.
Taking the magic expressions shown in fig. 1 as an example, the magic expressions in the display panel are classified into a plurality of categories, such as "favorite", "hot", "newest", "sprout", "record", etc., wherein the magic expressions in each category are sorted in an online order.
When the user selects the magic expressions, the user needs to browse each expression and try one by one to select the appropriate expression, the user cannot find the favorite magic expression to download, time for the user to select the magic expression is wasted, and the magic expression selecting efficiency of the user is reduced.
Fig. 2 is a flowchart illustrating a material resource allocation method according to an exemplary embodiment of the present disclosure, as shown in fig. 2, including the following steps.
In step S200, in response to a video generation instruction input by a target object, determining a material resource recommendation sequence of the target object through a trained material recommendation model, where the material resource recommendation sequence includes identifiers of a plurality of material resources recommended for the target object;
in step S201, in response to a material resource display instruction input by the target object, displaying the material resources to the target object in the order of the identifiers in the material resource recommendation sequence;
in step S202, at least one material resource of the material resources displayed to the target object is preloaded.
According to the method and the device, the material recommendation model for performing expression recommendation on the target is constructed, the material resource recommendation sequence for the target object can be obtained through the trained material recommendation model, the corresponding material resources are displayed to the target object based on the material resource recommendation sequence, the sequencing of the display panel is customized for the target object, the personalized recommendation on the target object is realized, the recommended material resources are more suitable for the target object, and the target object is convenient to select; in addition, at least one of the material resources which are recommended for the target object in a personalized mode is preloaded, and then the target object does not need to be loaded when the preloaded material resources are selected, so that the time for the target object to download the material resources can be shortened.
In the embodiment of the present disclosure, the target object may refer to a user or the like that needs to use a material resource, for example, a user who shoots a short video using a magic expression in a certain short video APP.
In an alternative embodiment, the material recommendation model is obtained by training a material resource recommendation sequence as an output feature by using the operation information of at least one object as an input feature.
In this way, when the material resource recommendation sequence recommended to the target object is determined by the trained material recommendation model, the operation information of the target object can be input into the trained material recommendation model, and the material recommendation sequence output by the material recommendation model is represented as the material resource recommendation sequence promoted by the target object.
The operation information of the object refers to information of some operation behaviors of the user, such as data of browsing and clicking videos (which may include videos and/or short videos, the same below) by the user, which types of videos the user likes to see, which types of videos the user likes to click, and the like.
In an alternative embodiment, the operation information of the object may be determined through a user behavior log.
Specifically, when behavior logs of multiple users are obtained, a large number of behavior logs of exposure and click of the users may be collected by the server, where the behavior logs may include a large number of behavior data of the users to videos (the behavior data may include click data, like data, the same as below), expression behavior data used when the large number of users record videos, and the like. For example, the video recorded by the user, the video watched by the user, and the expression (including a common expression and/or a magic expression, the same below) used when the user records the video, or the expression used when the user watches the video displayed by other users, and the like, of course, other data may also be included, and the embodiment of the present disclosure is not limited.
The server can acquire a large number of user behavior logs in real time or periodically, and also can acquire the behavior logs of a plurality of users when receiving an operation instruction of triggering and recording videos by the users through the terminal.
In another optional implementation, when the material recommendation model is trained, the operation information of the object and the heat information of the material resources can be used as input features, and the material resource recommendation sequence is used as an output feature to train the neural network model to obtain the material recommendation model.
In this way, when the material resource recommendation sequence recommended to the target object is determined by the trained material recommendation model, the operation information and the material resource heat information of the target object can be input into the trained material recommendation model, and the material recommendation sequence output by the material recommendation model is represented as the material resource recommendation sequence promoted by the target object.
The material resource recommendation sequence output by the material recommendation model obtained by training in the mode is targeted, and because the heat of the material resources is considered during training, the material resources with higher use frequency can be provided for a period of time in general for receiving TV shows, movies or other popular factors, so that the method is more suitable for practical use.
The material resource heat information refers to the heat of the material resource on the platform, and is determined according to the heat of the magic expression on the platform, the number of authors, the amount of works and the like.
In the embodiment of the disclosure, the material recommendation model is a neural network model, and when the material recommendation model is trained, the operation information of at least one object is used as the input of the neural network model, or the operation information of at least one object and the material resource heat information are used as the input of the neural network model, weighted calculation is performed, and the material resource recommendation sequence is used as the output feature to generate the material recommendation model. The material resource recommendation sequence can be an individualized recommendation list aiming at the user, and the user can be individualized recommended according to the material recommendation model.
The following is mainly described in detail by taking material resources as magic expressions as examples:
in the related technology, the magic expressions need to be downloaded one by one in sequence according to the clicking sequence of the user when being downloaded, the user waiting time is long, and the user experience is poor.
Fig. 3 shows a magic expression downloading flowchart in the related art, which specifically includes the following steps:
step 300, the terminal determines that the user clicks a magic expression entrance;
step 301, the terminal judges whether the user selects the magic expression, if so, step 303 is executed, otherwise, the flow is ended;
and step 302, adding the magic expressions selected by the user into a download queue by the terminal, and preloading according to the adding sequence of the download queue.
Taking fig. 1 as an example, assuming that a user sequentially clicks three magic expressions of "cameo-sword", "little dinosaur", and "change of star and moon" from left to right, the three magic expressions are sequentially added to a download queue for downloading according to the user clicking sequence, and in a short time when the user selects a magic expression, the three magic expressions are not downloaded completely, so that a process that the magic expressions are loaded at the same time so that the magic expressions are temporarily unavailable occurs, and the user waiting time is long.
In order to solve the above problem, the embodiment of the present disclosure provides a preloading manner, so that the user waiting time is reduced through preloading, and the user experience is improved. For example, based on the personalized recommendation list, the magic expression pre-download is performed under a WiFi (Wireless Fidelity) network.
In the embodiment of the present disclosure, the preloading is different from the downloading, the preloading refers to adding some material resources into a downloading queue for downloading before the user selects no material resource for downloading, so as to provide better experience for the user and reduce the waiting time, and the downloading refers to adding the material resource selected by the user into the downloading queue for downloading.
When at least one material resource in the material resources displayed to the target object is preloaded, there are many optional implementations, and the following are listed:
and in the first preloading mode, preloading the un-downloaded material resources in the first N material resources in the material resource recommendation sequence, wherein N is a positive integer.
Specifically, the un-downloaded material resources in the material resources corresponding to the identifiers of the first N material resources in the material resource recommendation sequence are preloaded in the WiFi network, where N is a positive integer.
For example, when the user clicks the magic expression entrance, the magic expressions of the top three of the top ten of the hotness ranking are automatically downloaded under the WiFi network, wherein the magic expressions of the top ten of the hotness ranking are displayed to the user according to the personalized recommendation list, and the user can conveniently and quickly use the magic expressions to shoot when shooting.
Taking the personalized recommendation list shown in fig. 4A as an example, it is assumed that the personalized recommendation list recommended to the user a by the material recommendation model includes 10 identifiers of magic expressions, which are respectively: a1, a2, A3, a4, a5, a6, a7, A8, a9, and a10, wherein the right part shown in fig. 4A identifies corresponding material resources, which are: star of diamond, leg-lengthening and weight-losing, dry make-up, peach soda water, piglet glasses, …, love heart; when the user A clicks the magic expression entrance, responding to the material resource display instruction of the target object, displaying the material resources recommended for the user A to the user A in the column of 'hot' according to the form from front to back as shown in FIG. 4A, wherein the material resources corresponding to A1-A10 are displayed to the user A from top to bottom, and the method is shown in FIG. 4B.
Taking the personalized recommendation list shown in fig. 5A as an example, the personalized recommendation list recommended for the user B through the material recommendation model also includes 10 identifiers of magic expressions, which are respectively: b1, B2, B3, B4, B5, B6, B7, B8, B9, B10; when the user A clicks the magic expression entrance, responding to the material resource display instruction of the target object, displaying the material resources recommended for the user A to the user A in the column of 'hot' according to the form from front to back as shown in FIG. 4A, wherein the material resources corresponding to A1-A10 are displayed to the user A from top to bottom, and the method is shown in FIG. 4B.
When the user B clicks the magic expression entrance, responding to the material resource display instruction of the target object, and displaying the material resources recommended for the user B to the user B according to the sequence from top to bottom shown in FIG. 5A, wherein the material resources correspond to B1-B10. The right part shown in fig. 5A is a material resource corresponding to the identifier, which is: big head, tassels of stars, love light waves, big glasses of bear, small green flower, …, small Nezha; when the user B clicks the magic expression entry, in response to the material resource display instruction of the target object, the material resources recommended for the user B are displayed to the user B in the column of "hot" in the form from front to back according to the sequence from top to bottom shown in fig. 5A, where the material resources are corresponding to B1-B10, as shown in fig. 5B.
Taking N as an example, the top three of the hottest rankings shown in fig. 4B are a1, a2, and A3, and assuming that none of them are downloaded, when the user a clicks the magic expression entry (under WiFi network), a1, a2, and A3 may be added to the next to be preloaded in the queue; the top three hot rankings shown in fig. 5B are B1, B2, B3, and when user B clicks on a magic expression entry (under WiFi network), then B1, B2, B3 may be added to the next queue for preloading, assuming no downloads.
Randomly determining at least one un-downloaded material resource in the material resource recommendation sequence to perform preloading;
still taking 10 magic expressions recommended for the user a in the preloading manner one as shown in fig. 4B as an example, assuming that none of the 10 magic expressions is downloaded, at least one of the 10 magic expressions may be randomly selected for preloading in this manner, for example, randomly selecting a 2-long leg and slim, and a 10-love for preloading.
Still taking 10 magic expressions recommended for the user B in the preloading manner one as shown in fig. 5B as an example, assuming that none of the 10 magic expressions is downloaded, at least one of the 10 magic expressions may be randomly selected for preloading in this manner, for example, randomly selecting B1-big head, B5-small green flower for preloading.
Selecting at least one material resource corresponding to the un-downloaded material type from the material resource recommendation sequence to preload according to the frequency of the material type used by the target object;
suppose that 10 material resources are recommended to the user C through the material recommendation model, wherein the material resources totally include 5 material types, which are: "sprout", "magic sound", "make up", "game", user C often used "make up" and "sprout" type material resource to shoot little video recently, the material resource use frequency of other three types is lower, therefore can be with these 10 material resources belong to "make up" or "sprout" type at least one not downloaded material resource carry on the preloading.
Suppose that 10 material resources are recommended to the user D through the material recommendation model, wherein the material resources totally include 4 material types, which are: "entertainment", "party", "accessory", "game", recently, the user D often uses the "entertainment" type material resources to shoot the small video, and the use frequency of the remaining three types of material resources is low, so that the material resources not downloaded in at least one of the 10 material resources belonging to the "entertainment" type can be preloaded.
And fourthly, preloading at least one un-downloaded material resource related to the current position of the target object in the material resource recommendation sequence.
For example, if the user E inputs a material display instruction at the seaside, the un-downloaded material resources related to the sea among the material resources displayed to the user may be preloaded; when the user E inputs a material display instruction in the shopping mall, the un-downloaded material resources, such as clothes materials, in the material resources related to the shopping mall among the material resources displayed to the user can be preloaded.
And selecting at least one un-downloaded material resource from the material resource recommendation sequence to preload according to the new sequence of the material resources in the material resource recommendation sequence.
Still taking 10 magic expressions recommended for the user a in the preloading mode one and shown in fig. 4B as an example, assuming that none of the expressions is downloaded, the expressions are sorted according to the new sequence, and the sequence from new to old is as follows: a3, A4, A10, A1, A5, A6, A9, A8, A2 and A7, when the latest 4 new material resources are selected, the material resources corresponding to the A3, the A4, the A10 and the A1 can be preloaded.
Still taking 10 magic expressions recommended for the user B in the preloading mode one as an example and shown in fig. 5B, assuming that none of the expressions is downloaded, the expressions are sorted according to the new sequence, and the sequence from new to old is as follows: b1, B2, B10, B3, B5, B7, B9, B8, B4 and B6, when the last 3 new material resources are selected, the material resources corresponding to B1, B2 and B10 can be preloaded.
It should be noted that several preloading manners listed in the embodiments of the present disclosure are merely examples, and any manner of preloading at least one of the material resources that are displayed to the target object is applicable to the embodiments of the present disclosure.
In addition, the above several manners may also be used in combination, and if it is determined that all the material resources related to the current location of the user are downloaded according to the fourth preloading manner, at this time, the preloading may be performed according to any one of the first, second, third, and fifth preloading manners, and so on.
In an optional implementation manner, when at least one of the material resources displayed to the target object is preloaded, it is required to determine whether the preloaded material resources include an all-in-one material resource, where the all-in-one material resource means that one material resource includes at least one sub-material resource, such as a "summer hair band" shown in fig. 1, the magic expression includes three different hair bands, which are different in color and style, and the material resource of the "summer hair band" is the all-in-one material resource and includes three sub-material resources.
In the embodiment of the present disclosure, if the preloaded material resources include at least one sub-material resource, the first M sub-material resources are preloaded, where M is a positive integer. For example, the first two hair bands in the magic expression "summer hair band" are preloaded.
Assuming that M is 1, a1 includes three child material resources, that is, none of a11, a12, a13, a2, and A3 includes a child material resource, when preloading a1 to A3, specifically, adding a11, a2, and A3 to a download queue for preloading; if M is 2, add a11, a12, a2 and A3 to the download queue for preloading.
As shown in fig. 6, a flowchart for preloading the first N magic expressions in the personalized recommendation list provided in the embodiment of the present disclosure specifically includes the following steps:
step 600, the terminal determines that the user clicks a magic expression entrance;
601, the terminal judges whether the current is a WiFi network, if so, step 602 is executed, otherwise, the process is ended;
step 602, the terminal judges whether all the magic expressions of the hot door front 3 are downloaded, if yes, the flow is ended, otherwise, the step 603 is executed;
step 603, the terminal judges whether the multiple magic expressions are contained, if so, the step 604 is executed, otherwise, the step 605 is executed;
step 604, adding the undelivered magic expressions into a download queue for preloading by the terminal;
and 605, adding the first sub-magic expression of the all-in-one magic expressions into a download queue for preloading by the terminal, and adding the common magic expression into the download queue for preloading.
In the embodiment of the present disclosure, if the target object selects one un-downloaded material resource to use, if the material resource selected by the target object is not preloaded, the material resource selected by the target object is downloaded.
If the material resources selected by the user do not comprise the sub-material resources, the material resources selected by the user are not all-in-one material resources, so that the material resources downloaded by the user can be directly added into the download queue for downloading; and if the user selects the sub-material resources in a certain material resource, adding the sub-material resources selected by the user into a download queue for downloading.
In an optional implementation manner, if there are material resources being preloaded in the download queue when downloading the material resources selected by the target object, the material resources being preloaded need to be suspended, and the preloaded material resources that are suspended before can be resumed after the downloading of the material resources selected by the target object is completed.
For example, if the user a selects the material resource a4 to be downloaded, but the preloading of A3 needs to be suspended if the preloading of A3 is included in the preloading material resources, and the preloading of A3 is resumed after the downloading of a4 is completed.
In the disclosed embodiment, preloading means that preloading is being performed, or is in the download queue but not started, or is completed.
In an alternative embodiment, when a user selects a material resource, whether the material resource is not downloaded (or not preloaded) or is being preloaded, the next material resource of the user-selected material resource may be preloaded if the user-selected material resource is not the last one in the presentation panel and the next material resource of the user-selected material resource is not downloaded or preloaded.
Or, pre-loading the previous material resource of the material resource selected by the user, if the material resource selected by the user is not the first one in the display panel, and the previous material resource of the material resource selected by the user is not downloaded or pre-loaded.
In the following, the following description will be given mainly by taking preloading of the next material resource of the material resources selected by the target object as an example:
in an optional implementation manner, when determining the preloaded material resources according to the material resources selected by the target object, if the material resources selected by the target object are all-in-one material resources, that is, the material resources selected by the target object include at least one sub-material resource, in this case, the target object selects the sub-material resources in the material resources, at this time, there are several preloading manners, which can be summarized as: preloading the next sub-element resource of the sub-element resource selected by the target object; and/or preloading the next material resource of the material resource to which the sub-material resource belongs.
Specifically, the preloading mode needs to be determined according to whether the material resource to which the sub-material resource selected by the target object belongs is located at the first specific position or not, and whether the sub-material resource selected by the target object is located at the second specific position or not.
In the first mode, when the material resource to which the sub-material resource selected by the target object belongs is located at the first specific position in the display panel and the sub-material resource selected by the target object is located at the second specific position in the material resource to which the sub-material resource belongs, the sub-material resource selected by the target object is added into the download queue, and in this case, preloading is not performed.
Wherein the first specific position may represent the last one of the display panels or the first one of the display panels, or a designated position in the display panel, etc. The second specific location may represent the first or last of the all-in-one material assets (referring to the material assets including at least one sub-material asset), or a designated location, etc.
Suppose that: the a10 includes 3 sub magic expressions, which are a101, a102, and a103, respectively, and a10 is the last one of the display panels, and the sub magic expression selected by the user a is a103 of a10, then since a10 is the last one of the display panels and is located at the first specific position, and a103 is also the last one of a10 and is located at the second specific position, only the a103 selected by the user is downloaded at this time.
The user's action is typically selected from front to back, and optionally, a102 before a103 and a9 before a10 may be preloaded.
And secondly, when the material resource to which the sub-material resource selected by the target object belongs is located at the first specific position in the display panel and the sub-material resource selected by the target object is not located at the second specific position in the material resource to which the sub-material resource belongs, adding the sub-material resource selected by the target object into the download queue, and adding the next sub-material resource of the sub-material resource selected by the target object into the download queue for preloading.
Suppose that: the a10 includes 3 sub-magic expressions, a101, a102, a103, and a10 is the last one of the display panels, and the sub-magic expression selected by the user a is a102 of a10, then since a10 is the last one of the display panels, located at the first specific location, and a102 is not the last one of a10, not located at the second specific location, the user selected a102 is downloaded, and a103 following a102 is preloaded.
And thirdly, if the material resource to which the sub-material resource selected by the target object belongs is not located at the first specific position in the display panel and the sub-material resource selected by the target object is not located at the second specific position in the material resource to which the sub-material resource belongs, adding the sub-material resource selected by the target object into the download queue, and adding the next sub-material resource of the sub-material resource selected by the target object into the download queue for preloading.
Suppose that: the A8 includes 3 magic sub-expressions, a81, a82, a83, and A8 is not the last one of the display panels, and the magic sub-expression selected by the user a is a82 of A8, then since A8 is the last one of the display panels and is not located at the first specific location, a82 is not the last one of A8 and is not located at the second specific location, the a82 selected by the user is downloaded, and a83 after a82 is preloaded.
And if the material resources to which the sub-material resources selected by the target object belong are not located at the first specific position in the display panel and the sub-material resources selected by the target object are located at the second specific position in the material resources to which the sub-material resources selected by the target object belong, adding the sub-material resources selected by the target object into the download queue, and adding the next material resource of the material resources to which the sub-material resources selected by the target object belong into the download queue for preloading.
Suppose that: the A8 includes 3 magic sub-expressions, a81, a82, a83, and A8 is not the last one in the display panel, and the magic sub-expression selected by the user a is a83 in A8, then since A8 is the last one in the display panel, it is not at the first specific location, and a83 is not the last one in A8, it is at the second specific location, so that the a83 selected by the user is downloaded, and the a9 after A8 is preloaded.
In an optional implementation manner, if a next material resource of the material resources selected by the target object includes at least one sub-material resource, the first P sub-material resources in the at least one sub-material resource are preloaded.
For example, assuming that a9 includes a91, a92, a93, a94, and P is 2, a91 and a92 may be added to the download queue for preloading.
In an optional implementation manner, when determining the preloaded material resources according to the material resources selected by the target object, if the material resources selected by the target object are not the all-in-one material resources, that is, the material resources selected by the target object do not include the sub-material resources, the next material resource of the material resources selected by the target object is preloaded, provided that the material resources selected by the target object are not located at the first specific position of the display panel, and when the material resources selected by the target object are located at the first specific position, the preloading may not be performed.
When the next material resource of the material resources selected by the target object is preloaded, if the next material resource comprises at least one sub-material resource, preloading the first Q sub-material resources in the at least one sub-material resource; and if the next material resource does not comprise the sub-material resource (namely the next material resource is the common material resource), preloading the next material resource.
For example, the magic expression selected by the user B is B6, the next magic expression of B6 is B7, if B7 contains 3 sub-magic expressions, which are B71, B72, and B73, respectively, and if Q is 1, then B71 is added to the download queue for preloading.
When the magic expression selected by the user B is B8, the next magic expression of the B8 is B9, and the B9 is a common magic expression and does not include the child magic expression, the B9 is directly added to the download queue for preloading.
When the magic expression selected by the user B is B10, assuming that B10 shows the last magic expression in the panel, then B10 may be directly added to the download queue, in which case preloading may not be performed.
It should be noted that the above-mentioned preloading of the next or previous material resource of the material resource selected by the user is only an example, and the following or previous material resource selected by the user may also be preloaded, and the specific implementation is similar to the above-mentioned process.
In addition, the above listed modes are only examples, and there are many possible situations in actual operation, which cannot be exhaustive.
In the embodiment of the disclosure, the user selection cost is reduced in a personalized recommendation mode; in addition, the waiting time of the user can be reduced through a preloading mode, and the user experience is improved. From the product perspective, the page click conversion rate of the product can be improved.
Fig. 7 is a flowchart illustrating a complete method for recommending material according to an exemplary embodiment, which specifically includes the following steps:
step 700, the terminal determines that the user selects the magic expression;
step 701, the terminal judges whether the current is a WiFi network, if so, step 702 is executed, otherwise, the flow is ended;
step 702, the terminal judges whether the download queue has the preloaded magic expression, if so, the step 703 is executed, otherwise, the step 704 is executed;
step 703, the terminal interrupts all the preloaded magic expressions;
step 704, the terminal judges whether the magic expression selected by the user is all-in-one, if so, step 705 is executed, otherwise, step 717 is executed;
step 705, the terminal judges whether the magic expression selected by the user is the last magic expression under Tab, if so, step 706 is executed, otherwise, step 710 is executed;
step 706, the terminal judges whether the sub-magic expression selected by the user is the last sub-magic expression under Tab, if so, step 707 is executed, otherwise, step 708 is executed;
step 707, the terminal adds the sub-magic expression selected by the user into a download queue (without preloading);
step 708, adding the sub-magic expression selected by the user into a download queue by the terminal;
step 709, the terminal adds the next sub-magic expression of the sub-magic expression selected by the user into a download queue for preloading;
step 710, the terminal judges whether the sub magic expression selected by the user is the last sub magic expression under Tab, if so, step 711 is executed, otherwise, step 712 is executed;
step 711, adding the sub-magic expression selected by the user into a download queue by the terminal;
step 712, the terminal determines whether the next magic expression selected by the user is all-in-one, if so, step 713 is executed, otherwise, step 714 is executed;
step 713, adding the first sub-magic expression of the all-in-one magic expression into a download queue for preloading by the terminal;
step 714, the terminal adds the next magic expression into a download queue for preloading;
step 715, adding the sub-magic expression selected by the user into a download queue by the terminal;
step 716, the terminal adds the next sub-magic expression of the sub-magic expression selected by the user into a download queue for preloading;
step 717, the terminal judges whether the magic expression selected by the user is the last magic expression of the Tab, if so, step 718 is executed, otherwise, step 719 is executed;
step 718, the terminal adds the magic expression selected by the user into a download queue (without preloading);
step 719, the terminal adds the magic expression selected by the user into a download queue;
step 720, the terminal judges whether the next magic expression selected by the user is all-in-one;
step 721, adding the first sub-magic expression of the all-in-one magic expressions into a download queue by the terminal for preloading;
and step 722, adding the next magic expression into a download queue for preloading by the terminal.
It should be noted that, in the step shown in fig. 7, the material resource selected by the user or the next material resource of the material resource selected by the user is not downloaded and is not preloaded, if the material resource selected by the user is downloaded or is preloaded, the material resource selected by the user does not need to be downloaded, and if the material resource is being preloaded, the other preloaded material resources except the material resource selected by the user are temporarily downloaded.
Similarly, when the next material resource of the material resource selected by the user is downloaded, the next material resource of the material resource selected by the user can be preloaded, and if the material resource is also downloaded, the same goes on.
Fig. 8 is a block diagram illustrating a material resource allocation apparatus according to an exemplary embodiment. Referring to fig. 8, the apparatus includes a determination unit 800, a presentation unit 801, and a download unit 802.
The determining unit 800 is configured to execute a video generation instruction input in response to a target object, and determine a material resource recommendation sequence of the target object through a trained material recommendation model, wherein the material resource recommendation sequence includes identifications of a plurality of material resources recommended for the target object;
the presentation unit 801 is configured to execute material resource presentation instructions input in response to the target object, and present the material resources to the target object in the order of the identifiers in the material resource recommendation sequence;
the downloading unit 802 is configured to perform preloading of at least one of the material resources to be displayed to the target object.
In an optional implementation manner, the material recommendation model is obtained by training a material resource recommendation sequence as an output feature by using operation information of at least one object as an input feature.
In an optional implementation manner, the downloading unit 802 is specifically configured to perform:
preloading un-downloaded material resources in the material resources corresponding to the identifiers of the first N material resources in the material resource recommendation sequence, wherein N is a positive integer; or
Randomly determining at least one un-downloaded material resource in the material resource recommendation sequence to pre-load; or
Selecting at least one material resource corresponding to the un-downloaded material type from the material resource recommendation sequence to pre-load according to the frequency of the material type used by the target object; or
Preloading at least one un-downloaded material resource related to the current position of the target object in the material resource recommendation sequence; or
And selecting at least one un-downloaded material resource from the material resource recommendation sequence to pre-load according to the new sequence of the material resources in the material resource recommendation sequence.
In an optional implementation manner, the downloading unit 802 is specifically configured to perform:
and if the pre-loaded material resources comprise at least one sub-material resource, pre-loading the first M sub-material resources, wherein M is a positive integer.
In an alternative embodiment, the downloading unit 802 is further configured to perform:
after at least one material resource in the material resources displayed to the target object is preloaded, if the material resource selected by the target object is not preloaded, the material resource selected by the target object is downloaded.
In an optional implementation manner, the downloading unit 802 is specifically configured to perform:
and if the material resources which are being preloaded exist currently, suspending the preloaded material resources and downloading the material resources selected by the target object.
In an alternative embodiment, at least one of the material assets includes at least one sub-material asset;
the downloading unit 802 is further configured to:
after downloading the material resources selected by the target object, if the target object selects the sub-material resources in the material resources, the target object selects the sub-material resources
Preloading a next sub-element resource of the sub-element resource selected by the target object; and/or
And preloading the next material resource of the material resource to which the sub-material resource selected by the target object belongs.
In an optional implementation manner, the downloading unit 802 is specifically configured to perform:
and if the next material resource comprises at least one sub-material resource, preloading the previous P sub-material resources in the at least one sub-material resource, wherein P is a positive integer.
In an optional embodiment, the downloading unit 802 is further configured to perform:
after downloading the material resources selected by the target object, if the material resources selected by the target object do not comprise the sub-material resources, preloading the next material resource of the material resources selected by the target object.
In an optional implementation manner, the downloading unit 802 is specifically configured to perform:
and if the next material resource comprises at least one sub-material resource, pre-loading the front Q sub-material resources in the at least one sub-material resource, wherein Q is a positive integer.
With regard to the apparatus in the above-described embodiment, the specific manner in which each unit executes the request has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 9 is a block diagram illustrating an electronic device 900 according to an example embodiment, the apparatus comprising:
a processor 910;
a memory 920 for storing instructions executable by the processor 910;
wherein the processor 910 is configured to execute the instructions to implement the material resource allocation method in the embodiment of the present disclosure.
In an exemplary embodiment, a storage medium comprising instructions, such as the memory 920 comprising instructions, executable by the processor 910 of the electronic device 900 to perform the above-described method is also provided. Alternatively, the storage medium may be a non-transitory computer readable storage medium, which may be, for example, a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
As shown in fig. 10, an embodiment of the present disclosure provides a terminal 1000 for recommending materials, including: radio Frequency (RF) circuit 1010, power supply 1020, processor 1030, memory 1040, input unit 1050, display unit 1060, camera 1070, communication interface 1080, and wireless fidelity (Wi-Fi) module 1090. Those skilled in the art will appreciate that the configuration of the terminal shown in fig. 10 is not intended to be limiting, and that embodiments of the present disclosure provide terminals that include more or less components than those shown, or that combine certain components, or that are arranged in different components.
The various components of terminal 1000 are described in detail below with reference to fig. 10:
the RF circuit 1010 may be used for receiving and transmitting data during a communication or conversation. Specifically, the RF circuit 1010 sends downlink data of the base station to the processor 1030 for processing; and in addition, sending the uplink data to be sent to the base station. In general, the RF circuit 1010 includes, but is not limited to, an antenna, at least one Amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like.
In addition, the RF circuit 1010 may also communicate with networks and other terminals through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to Global System for mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), and the like.
The Wi-Fi technology belongs to a short-distance wireless transmission technology, and the terminal 1000 may connect to an Access Point (AP) through the Wi-Fi module 1090, thereby implementing Access to a data network. The Wi-Fi module 1090 can be used for receiving and transmitting data during communication.
The terminal 1000 can be physically connected to other terminals through the communication interface 1080. Optionally, the communication interface 1080 is connected to the communication interfaces of the other terminals through a cable, so as to implement data transmission between the terminal 1000 and the other terminals.
In the embodiment of the present disclosure, the terminal 1000 can implement a communication service to send information to other contacts, so that the terminal 1000 needs to have a data transmission function, that is, the terminal 1000 needs to include a communication module inside. Although fig. 10 illustrates communication modules such as the RF circuit 1010, the Wi-Fi module 1090, and the communication interface 1080, it is to be understood that at least one of the above-described elements or other communication modules (e.g., a bluetooth module) for implementing communication may be present in the terminal 1000 for data transmission.
For example, when the terminal 1000 is a mobile phone, the terminal 1000 can include the RF circuit 1010 and can further include the Wi-Fi module 1090; when the terminal 1000 is a computer, the terminal 1000 can include the communication interface 1080 and can also include the Wi-Fi module 1090; when the terminal 1000 is a tablet computer, the terminal 1000 can include the Wi-Fi module.
The memory 1040 may be used to store software programs and modules. The processor 1030 executes the software programs and modules stored in the memory 1040, so as to perform various functional applications and data processing of the terminal 1000, and when the processor 1030 executes the program codes in the memory 1040, part or all of the processes in fig. 2 of the embodiments of the present disclosure can be implemented.
Alternatively, the memory 1040 may mainly include a program storage area and a data storage area. The storage program area can store an operating system, various application programs (such as communication application), a face recognition module and the like; the storage data area may store data (such as various multimedia files like pictures, video files, etc., and face information templates) created according to the use of the terminal, etc.
Further, the memory 1040 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 storage device.
The input unit 1050 may be used to receive numeric or character information input by a user and generate key signal inputs related to user settings and function control of the terminal 1000.
Alternatively, the input unit 1050 may include a touch panel 1051 and other input terminals 1052.
The touch panel 1051, also called a touch screen, can collect touch operations of a user (for example, operations of a user on or near the touch panel 1051 by using any suitable object or accessory such as a finger or a stylus) and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 1051 may include two portions, i.e., a touch detection device and a touch controller. The touch detection device detects the touch direction 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 sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 1030, and can receive and execute commands sent by the processor 1030. In addition, the touch panel 1051 may be implemented by various types such as a resistive type, a capacitive type, an infrared ray, and a surface acoustic wave.
Optionally, the other input terminals 1052 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 trackball, a mouse, a joystick, and the like.
The display unit 1060 may be used to display information input by a user or information provided to the user and various menus of the terminal 1000. The display unit 1060 is a display system of the terminal 1000, and is used for presenting an interface and realizing human-computer interaction.
The display unit 1060 may include a display panel 1061. Alternatively, the Display panel 1061 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-emitting diode (OLED), or the like.
Further, the touch panel 1051 may cover the display panel 1061, and when the touch panel 1051 detects a touch operation on or near the touch panel 1051, the touch panel 1051 transmits the touch operation to the processor 1030 to determine the type of the touch event, and then the processor 1030 provides a corresponding visual output on the display panel 1061 according to the type of the touch event.
Although in FIG. 10, the touch panel 1051 and the display panel 1061 are shown as two separate components to implement the input and output functions of the terminal 1000, in some embodiments, the touch panel 1051 and the display panel 1061 can be integrated to implement the input and output functions of the terminal 1000.
The processor 1030 is a control center of the terminal 1000, connects various components using various interfaces and lines, and performs various functions of the terminal 1000 and processes data by operating or executing software programs and/or modules stored in the memory 1040 and calling data stored in the memory 1040, thereby implementing various services based on the terminal.
Optionally, the processor 1030 may include one or more processing units. Optionally, the processor 1030 may integrate an application processor and a modem processor, wherein the application processor mainly handles operating systems, user interfaces, application programs, and the like, and the modem processor mainly handles wireless communications. It is to be appreciated that the modem processor described above may not be integrated into the processor 1030.
The camera 1070 is configured to implement a shooting function of the terminal 1000, and shoot pictures or videos. The camera 1070 can also be used to implement a scanning function of the terminal 1000, and scan a scanned object (two-dimensional code/barcode).
The terminal 1000 can also include a power supply 1020 (e.g., a battery) for powering the various components. Optionally, the power supply 1020 may be logically connected to the processor 1030 through a power management system, so that the power management system implements functions of managing charging, discharging, power consumption, and the like.
It is to be noted that the processor 1030 according to the embodiment of the present disclosure may perform the functions of the processor 910 in fig. 9, and the memory 1040 stores the contents of the processor 910.
The embodiment of the present disclosure further provides a computer program product, which when running on an electronic device, causes the electronic device to execute a method for implementing any one of the above method for configuring material resources of the embodiment of the present disclosure or any one of the methods that may be involved in any method for configuring material resources of the embodiment of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (10)

1. A material resource allocation method is characterized by comprising the following steps:
determining a material resource recommendation sequence recommended to a target object through a trained material recommendation model in response to a video generation instruction input by the target object, wherein the material resource recommendation sequence comprises identifications of a plurality of material resources recommended for the target object;
responding to a material resource display instruction input by the target object, and displaying the material resources to the target object according to the sequence of the identifiers in the material resource recommendation sequence;
and preloading at least one material resource in the material resources displayed to the target object.
2. The material resource allocation method according to claim 1, wherein the material recommendation model is obtained by training a material resource recommendation sequence as an output feature by using operation information of at least one object as an input feature.
3. The material resource allocation method according to claim 1, wherein the step of preloading at least one of the material resources for displaying the target object comprises:
preloading the un-downloaded material resources in the first N material resources in the material resource recommendation sequence, wherein N is a positive integer; or
Randomly determining at least one un-downloaded material resource in the material resource recommendation sequence to pre-load; or
Selecting at least one un-downloaded material resource corresponding to the material type from the material resource recommendation sequence to pre-load according to the frequency of the material type used by the target object; or
Preloading at least one un-downloaded material resource related to the current position of the target object in the material resource recommendation sequence; or
And selecting at least one un-downloaded material resource from the material resource recommendation sequence to pre-load according to the new sequence of the material resources in the material resource recommendation sequence.
4. The material resource allocation method according to claim 1, wherein the step of preloading at least one of the material resources for displaying the target object comprises:
and if the pre-loaded material resources comprise at least one sub-material resource, pre-loading the first M sub-material resources, wherein M is a positive integer.
5. The material resource allocation method according to claim 1, wherein after the step of preloading at least one of the material resources to be displayed on the target object, the method further comprises:
and if the material resources selected by the target object are not preloaded, downloading the material resources selected by the target object.
6. The material resource allocation method according to claim 5, wherein said step of downloading the material resource selected by said target object comprises:
and if the material resources which are being preloaded exist currently, suspending the preloaded material resources and downloading the material resources selected by the target object.
7. The material resource allocation method according to claim 5, wherein at least one of said material resources comprises at least one sub-material resource;
after the step of downloading the material resources selected by the target object, the method further comprises the following steps:
if the target object selects a sub-material resource in the material resources, then
Preloading a next sub-element resource of the sub-element resource selected by the target object; and/or
And preloading the next material resource of the material resource to which the sub-material resource selected by the target object belongs.
8. A material resource allocation apparatus, comprising:
a determining unit configured to execute a video generation instruction input in response to a target object, and determine a material resource recommendation sequence of the target object through a trained material recommendation model, wherein the material resource recommendation sequence comprises identifications of a plurality of material resources recommended for the target object;
the display unit is configured to execute material resource display instructions input in response to the target object and display the material resources to the target object according to the sequence of the marks in the material resource recommendation sequence;
and the downloading unit is configured to pre-load at least one of the material resources which are displayed to the target object.
9. An electronic device, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the material resource allocation method of any one of claims 1 to 7.
10. A storage medium, wherein instructions in the storage medium, when executed by a processor of an electronic device, enable the electronic device to perform the material resource allocation method of any one of claims 1 to 7.
CN201910900057.XA 2019-09-23 2019-09-23 Material resource allocation method and device, electronic equipment and storage medium Pending CN110688525A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112308172A (en) * 2020-12-24 2021-02-02 北京达佳互联信息技术有限公司 Identification method and device and electronic equipment
CN112433779A (en) * 2020-11-10 2021-03-02 金蝶云科技有限公司 Application site preloading method, device and storage medium based on ERP system
CN113778285A (en) * 2021-09-28 2021-12-10 北京字跳网络技术有限公司 Prop processing method, device, equipment and medium
CN114222155A (en) * 2021-12-13 2022-03-22 北京达佳互联信息技术有限公司 Resource recommendation method and device, electronic equipment and storage medium
WO2022174806A1 (en) * 2021-02-20 2022-08-25 北京字跳网络技术有限公司 Photographing method and apparatus, electronic device, and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107454346A (en) * 2017-07-03 2017-12-08 李洪海 Movie data analytic method, video production template recommend method, apparatus and equipment
CN107609177A (en) * 2017-09-29 2018-01-19 北京金山安全软件有限公司 Recommendation method and device for photographing material, terminal equipment and medium
CN108230283A (en) * 2018-01-19 2018-06-29 维沃移动通信有限公司 A kind of textures material recommends method and electronic equipment
CN109002857A (en) * 2018-07-23 2018-12-14 厦门大学 A kind of transformation of video style and automatic generation method and system based on deep learning
CN109783749A (en) * 2018-12-10 2019-05-21 深圳变设龙信息科技有限公司 A kind of Material for design intelligent recommendation method, apparatus and terminal device
CN109922277A (en) * 2019-03-14 2019-06-21 佛山市摄时度文化传播有限公司 The recommended method and recommendation apparatus of video production template

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107454346A (en) * 2017-07-03 2017-12-08 李洪海 Movie data analytic method, video production template recommend method, apparatus and equipment
CN107609177A (en) * 2017-09-29 2018-01-19 北京金山安全软件有限公司 Recommendation method and device for photographing material, terminal equipment and medium
CN108230283A (en) * 2018-01-19 2018-06-29 维沃移动通信有限公司 A kind of textures material recommends method and electronic equipment
CN109002857A (en) * 2018-07-23 2018-12-14 厦门大学 A kind of transformation of video style and automatic generation method and system based on deep learning
CN109783749A (en) * 2018-12-10 2019-05-21 深圳变设龙信息科技有限公司 A kind of Material for design intelligent recommendation method, apparatus and terminal device
CN109922277A (en) * 2019-03-14 2019-06-21 佛山市摄时度文化传播有限公司 The recommended method and recommendation apparatus of video production template

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112433779A (en) * 2020-11-10 2021-03-02 金蝶云科技有限公司 Application site preloading method, device and storage medium based on ERP system
CN112308172A (en) * 2020-12-24 2021-02-02 北京达佳互联信息技术有限公司 Identification method and device and electronic equipment
CN112308172B (en) * 2020-12-24 2022-04-01 北京达佳互联信息技术有限公司 Identification method and device and electronic equipment
WO2022174806A1 (en) * 2021-02-20 2022-08-25 北京字跳网络技术有限公司 Photographing method and apparatus, electronic device, and storage medium
CN113778285A (en) * 2021-09-28 2021-12-10 北京字跳网络技术有限公司 Prop processing method, device, equipment and medium
WO2023051294A1 (en) * 2021-09-28 2023-04-06 北京字跳网络技术有限公司 Prop processing method and apparatus, and device and medium
CN114222155A (en) * 2021-12-13 2022-03-22 北京达佳互联信息技术有限公司 Resource recommendation method and device, electronic equipment and storage medium
CN114222155B (en) * 2021-12-13 2023-12-26 北京达佳互联信息技术有限公司 Resource recommendation method, device, electronic equipment and storage medium

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