CN111556366A

CN111556366A - Multimedia resource display method, device, terminal, server and system

Info

Publication number: CN111556366A
Application number: CN202010256844.8A
Authority: CN
Inventors: 韩金泽
Original assignee: Beijing Dajia Internet Information Technology Co Ltd
Current assignee: Beijing Dajia Internet Information Technology Co Ltd
Priority date: 2020-04-02
Filing date: 2020-04-02
Publication date: 2020-08-18

Abstract

The disclosure relates to a method, a device, a terminal, a server and a system for displaying multimedia resources, wherein the method comprises the following steps: responding to the display triggering operation of the user account on the multimedia resource page, and detecting the current network state of the user account; when the current network state of the user account is detected to be a weak network state, acquiring multimedia resource preference information of the user account; according to the multimedia resource preference information, selecting a target multimedia resource from the candidate multimedia resources cached in advance for loading; and displaying the target multimedia resource on the multimedia resource page. Therefore, the target multimedia resources are loaded from the pre-cached candidate multimedia resources according to the multimedia resource preference information of the user account, the phenomena of blocking, delay and the like caused by limited network state change during real-time searching and downloading of the target multimedia resources can be effectively avoided, the user can quickly and smoothly view the target multimedia resources interested by the user, and the video viewing experience of the user is improved.

Description

Multimedia resource display method, device, terminal, server and system

Technical Field

The present application relates to the field of multimedia technologies, and in particular, to a method, an apparatus, a terminal, a server, and a system for displaying multimedia resources.

Background

With the continuous development of the technology, more and more users can access multimedia resources on the internet through terminals such as mobile phones and the like. For example, many users view short videos of their own interest on short video platforms to obtain useful information or to relax mood.

However, when many users watch short videos online, the network environment of the users may not be good due to the influence of factors such as the environment of the users, that is, the network environment of the users is a weak network environment. Therefore, once a user watches a short video online in a weak network environment, phenomena such as video blocking, delay and the like may occur, thereby affecting the watching experience of the user.

Disclosure of Invention

In order to solve the problem that in the related art, when a user watches multimedia resources online in a weak network environment, the phenomena of video blocking, delay and the like may occur, and further the watching experience of the user is affected, the present disclosure provides a multimedia resource display method, device, terminal, server and system, and the technical scheme of the present disclosure is as follows:

according to a first aspect of the embodiments of the present disclosure, a method for displaying multimedia resources is provided, the method including:

responding to a display triggering operation of a user account on a multimedia resource page, and detecting the current network state of the user account;

when the current network state of the user account is detected to be a weak network state, acquiring multimedia resource preference information of the user account;

according to the multimedia resource preference information, selecting a target multimedia resource from the candidate multimedia resources cached in advance for loading;

and displaying the target multimedia resource on the multimedia resource page.

According to a second aspect of the embodiments of the present disclosure, there is provided a method for presenting a multimedia resource, the method including at least one of the following steps:

responding to the received current network state detection request, detecting the current network state of the user account and returning;

or, in response to the received multimedia resource preference information acquisition request, when detecting that the current network state of the user account is the weak network state, acquiring the multimedia resource preference information of the user account and returning the multimedia resource preference information;

or responding to the received target multimedia resource acquisition request, and selecting the target multimedia resource from the candidate multimedia resources cached in advance according to the multimedia resource preference information to load and return.

According to a third aspect of the embodiments of the present disclosure, there is provided a presentation apparatus for a multimedia resource, the apparatus including:

the network state detection module is configured to execute a display triggering operation of a multimedia resource page in response to a user account, and detect the current network state of the user account;

the multimedia resource preference information acquisition module is configured to execute the steps of acquiring the multimedia resource preference information of the user account when the current network state of the user account is detected to be a weak network state;

the target multimedia resource loading module is configured to select a target multimedia resource from the candidate multimedia resources cached in advance for loading according to the multimedia resource preference information;

and the target multimedia resource presentation module is configured to perform presentation of the target multimedia resource on the multimedia resource page.

According to a fourth aspect of the embodiments of the present disclosure, there is provided a presentation apparatus for multimedia resources, the apparatus including at least one of the following modules:

a network state detection module configured to perform detecting and returning a current network state of the user account in response to the received current network state detection request;

or, the multimedia resource preference information acquisition module is configured to execute, in response to the received multimedia resource preference information acquisition request, acquiring and returning the multimedia resource preference information of the user account when detecting that the current network state of the user account is the weak network state;

or the target multimedia resource display module is configured to execute the steps of responding to the received target multimedia resource acquisition request, selecting the target multimedia resource from the candidate multimedia resources cached in advance according to the multimedia resource preference information, loading and returning.

According to a fifth aspect of the embodiments of the present disclosure, there is provided a terminal, including:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the method for presenting a multimedia asset according to the first aspect.

According to a sixth aspect of embodiments of the present disclosure, there is provided a server including:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the method for presenting a multimedia resource according to the second aspect.

According to a seventh aspect of the embodiments of the present disclosure, a multimedia resource presentation system is provided, which includes the terminal of the fifth aspect and the server of the sixth aspect.

According to an eighth aspect of the embodiments of the present disclosure, there is provided a storage medium, wherein instructions of the storage medium, when executed by a processor of a terminal, enable the terminal to perform the method for presenting a multimedia resource according to the first aspect.

According to a ninth aspect of the embodiments of the present disclosure, there is provided a storage medium, wherein instructions when executed by a processor of a server enable the server to perform the method for presenting a multimedia asset of the second aspect.

According to a tenth aspect of the embodiments of the present disclosure, there is provided a computer program product containing instructions, which when run on a computer, causes the computer to implement the method for presenting a multimedia asset of the first aspect.

According to an eleventh aspect of the embodiments of the present disclosure, there is provided a computer program product containing instructions, which when run on a computer, causes the computer to implement the presentation method of multimedia assets of the second aspect.

In the technical scheme provided by the embodiment of the disclosure, the current network state of a user account is detected in response to the display triggering operation of the user account on a multimedia resource page; when the current network state of the user account is detected to be a weak network state, acquiring multimedia resource preference information of the user account; according to the multimedia resource preference information, selecting a target multimedia resource from the candidate multimedia resources cached in advance for loading; and displaying the target multimedia resource on the multimedia resource page. By loading the target multimedia resource from the pre-cached candidate multimedia resource according to the multimedia resource preference information of the user account, the phenomena of blocking, delay and the like caused by limited network state change during real-time searching and downloading of the target multimedia resource can be effectively avoided, so that the user can quickly and smoothly view the target multimedia resource which is interested by the user, and the video viewing experience of the user is improved.

Drawings

FIG. 1 is a flow chart illustrating a method of presentation of a multimedia asset according to an exemplary embodiment;

FIG. 2 is a flowchart of one implementation of step S13 in the embodiment of FIG. 1;

FIG. 3 is a flow chart of one implementation of step S131 in the embodiment of FIG. 2;

FIG. 4 is a flowchart of one implementation of step S12 in the embodiment of FIG. 1;

FIG. 5 is a flowchart of one implementation of step S42 in the embodiment shown in FIG. 4;

FIG. 6 is a flow chart illustrating another method of presentation of multimedia assets in accordance with an exemplary embodiment;

FIG. 7 is a block diagram illustrating a presentation apparatus of a multimedia asset according to an exemplary embodiment;

FIG. 8 is a block diagram illustrating another presentation apparatus of a multimedia asset according to an exemplary embodiment;

FIG. 9 is a block diagram illustrating a presentation system for multimedia assets in accordance with an exemplary embodiment;

FIG. 10 is a block diagram illustrating another presentation apparatus of a multimedia asset according to an exemplary embodiment;

fig. 11 is a block diagram illustrating another apparatus for presenting multimedia assets in accordance with an exemplary 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.

The method and the device aim to solve the technical problem that when a user watches multimedia resources on line in a weak network environment in the related technology, the phenomena of video blocking, delay and the like can occur, and further watching experience of the user is influenced. The embodiment of the disclosure provides a multimedia resource display method, a multimedia resource display device, a multimedia resource display terminal, a multimedia resource display server and a multimedia resource display system.

Fig. 1 is a flowchart illustrating a multimedia resource presentation method according to an exemplary embodiment, and the method is applied to a terminal, where the terminal may be a smart phone, a tablet computer, and the like.

As shown in fig. 1, the method for presenting a multimedia asset may include the following steps.

In step S11, in response to the user account performing a presentation triggering operation on the multimedia resource page, the current network status of the user account is detected.

The multimedia resources may include: video, image, audio, and text, etc., and the embodiment of the present disclosure does not specifically limit multimedia resources. When a user wants to watch the multimedia resource, the display triggering operation can be executed on the multimedia resource page, and then the terminal receives the display triggering operation of the user account on the multimedia resource page and responds to the display triggering operation of the user account on the multimedia resource page.

Moreover, the display triggering operation of the user account on the multimedia resource page may be various, for example, the user account triggers opening of a display recommendation page of the multimedia resource, or the user account triggers opening of a display home page of the multimedia resource. The embodiment of the present disclosure does not specifically limit the display triggering operation of the user account on the multimedia resource page.

After receiving a display triggering operation of a user account on a multimedia resource page, a terminal responds to the display triggering operation of the user account on the multimedia resource page and detects a current network state of the user account, wherein the current network state may include: a weak network state and a non-weak network state. It can be understood that when the current network state is the weak network state, the network environment where the user account is located is poor, and when the user account loads multimedia resources online, situations such as delay or blocking may occur; when the current network state is a non-weak network state, the network environment of the user account is good, and when the user account loads multimedia resources online, the probability of occurrence of conditions such as delay or blocking is low.

For clarity of description of the scheme, a detailed description of a specific implementation of detecting the current network status of a user account will be set forth in the following embodiments.

In step S12, when the current network status of the user account is detected to be the weak network status, the multimedia resource preference information of the user account is acquired.

Specifically, when the current network state of the user account is detected to be the weak network state, it is described that the user account may be delayed or stuck when the multimedia resource is loaded online by using the current network. Therefore, when the current network state of the user account is detected to be the weak network state, the multimedia resources are not directly loaded on line, but the multimedia resource preference information of the user account is obtained, so that in the subsequent step, the target multimedia resources are selected from the candidate multimedia resources cached in advance according to the multimedia resource preference information.

For clarity of description of the scheme, a detailed implementation of obtaining multimedia resource preference information of a user account will be described in detail in the following embodiments.

In step S13, a target multimedia resource is selected from the pre-cached candidate multimedia resources for loading according to the multimedia resource preference information.

Specifically, in order to obtain a target multimedia resource matching with the video preference information of the user account without online loading of the multimedia resource when the current Network state of the user account is the weak Network state, candidate multimedia resources may be cached in a CDN (Content Delivery Network) or other cache servers in advance. Wherein the candidate multimedia resource may be a currently trending multimedia resource. For example, when the multimedia asset comprises video, the candidate multimedia asset comprises currently trending video.

It can be understood that the CDN is an intelligent virtual network constructed on the basis of the existing network, and by means of edge servers deployed in various places and through functional modules of load balancing, content distribution, scheduling, and the like of a central platform, a user can obtain required content nearby, network congestion is reduced, and the access response speed and hit rate of the user are improved. Therefore, the terminal can quickly acquire the target multimedia resource matched with the multimedia resource preference information from the CDN by caching the candidate multimedia resources in the CDN in advance.

The method for determining the candidate multimedia resource may be as follows: and determining candidate multimedia resources according to the click times, the play times, the sharing times and the comment times of the multimedia resources. For example, multimedia resources with a large number of clicks, a large number of plays, a large number of shares, or a large number of comments may be determined as candidate multimedia resources.

It should be noted that, before selecting a target multimedia resource from the pre-cached candidate multimedia resources for loading according to the multimedia resource preference information, it is necessary to determine the candidate multimedia resources and cache the candidate multimedia resources. Therefore, as an implementation manner of the embodiment of the present disclosure, before selecting a target multimedia resource from the pre-cached candidate multimedia resources for loading according to the multimedia resource preference information, the method may further include the following steps, which are step a1 to step a 3:

step a1, in a preset buffer cycle, obtaining one or more of the following multimedia resources: click times, play times, share times and comment times.

Specifically, the preset cache period may be approximately one month, approximately half month, approximately one week, and the like, and the preset cache period is not specifically limited in the embodiment of the present disclosure.

Moreover, each multimedia resource has click times, play times, share times, comment times and the like. Therefore, one or more of the number of clicks, the number of plays, the number of shares, and the number of comments of each multimedia resource can be acquired.

Step a2, sorting the multimedia resources in a descending order according to the number of clicks, the number of plays, the number of shares, or the number of comments, or sorting the multimedia resources in a descending order according to the weighted scores of at least two of the number of clicks, the number of plays, the number of shares, and the number of comments.

Specifically, when one of the click number, the play number, the share number, and the comment number of each multimedia resource is obtained, the multimedia resources may be sorted in a descending order according to the click number, the play number, the share number, or the comment number.

When multiple ones of the click times, the play times, the sharing times and the comment times of each multimedia resource are obtained, the multimedia resources can be sorted in a descending order according to weighted scores of at least two of the click times, the play times, the sharing times and the comment times. Specifically, at least two of the click times, the play times, the sharing times and the comment times correspond to a weighting factor, so that at least two of the click times, the play times, the sharing times and the comment times can be weighted and calculated according to the corresponding weighting factors to obtain weighted scores, and the multimedia resources are sorted in a descending order according to the weighted scores. The weighting factor may be set according to an actual situation, and the size of the weighting factor is not specifically limited in the embodiments of the present disclosure.

Step a3, determining the multimedia resources with descending sort order in the preset sort range as candidate multimedia resources and caching.

It can be understood that the multimedia resources with the top descending order are high in heat, so that after the multimedia resources are sorted in descending order, the multimedia resources with the descending order within the preset sorting range can be determined as candidate multimedia resources. That is, the multimedia resources ranked in descending order by the top N bits may be determined as candidate multimedia resources. N may be determined according to an actual situation, and this is not specifically limited in the embodiments of the present disclosure. Therefore, the candidate multimedia resources can be accurately determined through the implementation mode, after the candidate multimedia resources are cached, when the current network state of the user account is the weak network state, the terminal can quickly and smoothly acquire the target multimedia resources interested by the user from the candidate multimedia resources according to the multimedia resource preference information of the user account.

For clarity of the description of the scheme, a detailed description will be given in the following embodiments of selecting a target multimedia resource from pre-cached candidate multimedia resources for loading according to multimedia resource preference information.

In step S14, the target multimedia asset is presented on the multimedia asset page.

And the terminal selects the target multimedia resource from the candidate multimedia resources cached in advance according to the multimedia resource preference information and loads the target multimedia resource, so that the target multimedia resource can be displayed on the multimedia resource page. When the target multimedia resource is displayed, the target multimedia resource with higher popularity can be displayed in front, for example, when the target multimedia resource is the target video, the target video with more clicks can be displayed in front, so that the user can preferably watch the target video with higher popularity.

Based on the embodiment shown in fig. 1, in an implementation manner, S13, according to the multimedia resource preference information, selects a target multimedia resource from the pre-cached candidate multimedia resources for loading, as shown in fig. 2, may include the following steps:

in step S131, a recommendation index of each candidate multimedia resource is obtained according to the multimedia resource preference information.

After obtaining the multimedia resource preference information of the user account, a recommendation index of each candidate multimedia resource may be calculated according to the multimedia resource preference information. It will be appreciated that the recommendation index for candidate multimedia resources that match the multimedia preference information for the user account is higher and the recommendation index for candidate multimedia resources that do not match the video preference information for the user account is lower.

As an implementation manner of the embodiment of the present disclosure, the multimedia resource preference information includes a preference feature word set; step S131, obtaining the recommendation index of each candidate multimedia resource according to the multimedia resource preference information, as shown in fig. 3, may include the following steps:

in step S1311, a multimedia resource feature word set of each candidate multimedia resource is extracted.

In the subsequent steps, the recommendation index of each candidate multimedia resource can be accurately obtained, and the multimedia resource feature word set of each candidate multimedia resource can be extracted.

Specifically, there are various ways to extract the multimedia resource feature word set of the candidate multimedia resource.

In one mode, the multimedia resource feature word set of the candidate multimedia resource can be extracted according to multimedia resource description information of the candidate multimedia resource, where the multimedia resource description information can be a title of the multimedia resource, content introduction information of the multimedia resource, a preset multimedia resource classification tag, and the like. For example, when the candidate multimedia resource includes a candidate video, the set of video feature words of the candidate video may be extracted according to the video description information of the candidate video.

In another way, when the candidate multimedia resource includes a candidate video, a video feature word set of the candidate video may be extracted according to video description information of the candidate video and feature image frames of the candidate video. The characteristic image frames of the candidate video may be: video cover images of the candidate video and/or key frame images of the candidate video, etc.

For clarity of the description of the scheme, a detailed description of a specific implementation of extracting the multimedia resource feature word set of each candidate multimedia resource will be described in the following embodiments.

In step S1312, a semantic similarity between the multimedia resource feature word set and the preference feature word set of each candidate multimedia resource is obtained as a recommendation index of each candidate multimedia resource.

After the multimedia resource feature word set of each candidate multimedia resource is extracted, for any candidate multimedia resource, the recommendation index of the candidate multimedia resource can be determined by calculating semantic similarity between the candidate multimedia resource and the multimedia resource preference information of the user account, including the preference feature word set. It can be understood that if the candidate multimedia resource conforms to the video preference of the user account, the calculated semantic similarity is higher, i.e. the recommendation index of the candidate multimedia resource is larger. Likewise, if the candidate multimedia resource does not conform to the video preference of the user account, the calculated semantic similarity is lower, i.e. the recommendation index of the candidate multimedia resource is smaller.

There are various ways to calculate the semantic similarity. Specifically, cosine similarity between the multimedia resource feature word set and the preference feature word set can be used as semantic similarity; the Euclidean distance between the multimedia resource feature word set and the preference feature word set can be used as semantic similarity; the multimedia resource feature word set and the preference feature word set can be combined into semantic similarity. The embodiment of the present disclosure does not specifically limit the calculation manner of semantic similarity.

Therefore, according to the technical scheme provided by the implementation mode, the semantic similarity between the video preference characteristic words included in the multimedia resource preference information of the user account and the multimedia resource characteristic word set of the candidate multimedia resources is determined as the recommendation index of the candidate multimedia resources, the recommendation index of each candidate multimedia resource can be accurately calculated, and the target multimedia resources can be selected according to the recommendation indexes in the subsequent steps.

In step S132, the candidate multimedia resources with the descending ranking order of the recommendation index within the preset ranking range are selected as the target multimedia resources.

In step S133, the target multimedia asset is loaded.

Specifically, because the candidate multimedia resources with higher recommendation indexes are multimedia resources matched with the multimedia resource preference information, after the recommendation index of each candidate multimedia resource is calculated, the candidate multimedia resources can be sorted in a descending order according to the descending order of the recommendation indexes, and the candidate multimedia resources with the descending order within a preset descending order range can be determined as the target multimedia resources and loaded with the target multimedia resources. That is, M candidate multimedia resources ranked top in descending order may be determined as the target multimedia resource. The size of M may be determined according to actual conditions, which is not specifically limited in the embodiment of the present disclosure.

According to the description, the recommendation index of the candidate multimedia resource is calculated according to the multimedia resource preference information of the user account, and the recommendation index of the candidate multimedia resource which accords with the multimedia resource preference of the user account is higher, so that the target multimedia resource is the multimedia resource which accords with the multimedia resource preference of the user account, and the multimedia resource watching requirement of the user can be met.

For clarity of the description of the scheme, a specific implementation manner of extracting the multimedia resource feature word set of each candidate multimedia resource in step S1311 will be described in detail in the following embodiments.

As an implementation of the embodiments of the present disclosure, the candidate multimedia resources include candidate videos; step S1311, extracting the multimedia resource feature word set of each candidate multimedia resource, which may include the following steps, step b1 and step b 2:

and b1, acquiring video description information of each candidate video.

The video description information may include: video titles, video content introduction information and preset video classification labels. Of course, the video description information may also include other information of the video, and the embodiment of the present disclosure does not specifically limit the video description information.

And b2, performing word segmentation and de-duplication processing on the video description information to obtain a video feature word set of each candidate video.

After the video description information of each candidate video is obtained, the video description information can be participled by using a common Chinese word segmentation method to obtain a plurality of words. In practical application, repeated words may exist in a plurality of words obtained by word segmentation, so that the plurality of words obtained by word segmentation can be subjected to de-repetition processing, that is, the repeated words in the plurality of words are removed, and the video characteristic word set of each popular video is obtained.

Because the video description information of the candidate video can summarize the candidate video more accurately, after the video description information of the candidate video is subjected to word segmentation and de-duplication, the obtained video feature word set can accurately represent the features of the candidate video, that is, the accuracy of the video feature word set of the candidate video obtained by the embodiment is higher.

As another implementation of the disclosed embodiment, the candidate multimedia resources include candidate videos; step S1311, extracting the multimedia resource feature word set of each candidate multimedia resource, which may include the following steps, respectively step c1 to step c 4:

and c1, acquiring the video description information of each candidate video, and performing word segmentation and duplicate removal processing on the video description information to obtain the description feature words of each candidate video.

And c2, acquiring the characteristic image frame of each candidate video, and inputting the characteristic image frame of each candidate video into a pre-trained image recognition model to obtain the attribute information of the target object included in the characteristic image frame of each candidate video and the incidence relation between the target objects.

The characteristic image frame comprises a video cover image and/or a key frame image, namely, the characteristic image frame is an image which can play a representative role in the candidate video.

After the feature image frame of each candidate video is obtained, the feature image frame of the candidate video may be input into a pre-trained image recognition model, and the image recognition model may recognize the feature image frame to obtain attribute information of a target object included in the feature image frame and an association relationship of the target object. The target object may be a person, an animal, a building, or the like, the attribute information of the target object may be an object type, an object name, or the like of the target object, and the association relationship of the target objects may be a positional relationship between the target objects, a size relationship of the target objects, or the like.

The training process of the image recognition model can be as follows: collecting a large number of video images as sample images; labeling attribute information of a target object of the sample image and the incidence relation of the target object to obtain a labeled image; and inputting the marked image into a preset neural network model, and training the preset neural network model until the identification accuracy of the preset neural network model reaches a preset accuracy. The predetermined neural network model can be any existing neural network model; the preset accuracy may be determined according to actual conditions, for example, the preset accuracy may be 90%.

And d3, determining the image feature words of the feature image frames of each candidate video according to the attribute information of the target objects and the association relation between the target objects.

Specifically, after obtaining the attribute information of the target objects of the candidate video and the association relationship between the target objects, the attribute information of the target objects and the association relationship between the target objects may be directly used as the image feature words of the feature image frames of the candidate video. Alternatively, it is reasonable to extract key information from the attribute information of the target object and the association relationship of the target object as image feature words of the feature image frame.

And d4, for each candidate video, determining the description feature words and the image feature words of the candidate video as the video feature words of the candidate video.

When the description feature words and the image feature words of the door video are obtained, the description feature words and the image feature words of the candidate video can be used as the video feature words of the candidate video, and therefore the obtained video feature words are more comprehensive and accurate.

Because the video description information of the candidate video can summarize the candidate video more accurately, the obtained video feature words can accurately represent the features of the candidate video by segmenting and de-repeating the video description information of the candidate video, and the feature image frame is a representative image in the candidate video, so the video feature words of the candidate video can also accurately represent the features of the candidate video. Therefore, the video feature words of the candidate videos obtained by the embodiment are more comprehensive and accurate.

As an implementation manner of the embodiment of the present disclosure, S12, acquiring multimedia resource preference information of a user account, as shown in fig. 4, may include the following steps:

in step S41, multimedia resource consumption behavior data of the user account in a preset historical time period is acquired.

Wherein the multimedia resource consumption behavior data comprises: the method comprises the steps of obtaining multimedia resource information of the multimedia resources consumed by a user account, the consumption behavior types of the consumed multimedia resources by the user account, and the consumption behavior times corresponding to each consumption behavior type.

Specifically, the preset historical time period may be approximately one month, approximately half month, approximately one week, and the like, and the preset historical time period is not specifically limited in the embodiment of the present disclosure.

In order to obtain the multimedia resource preference information of the user account, the multimedia resource consumption behavior data of the user account in a preset historical time period can be counted. The multimedia resource information of the multimedia resource consumed by the user account may be multimedia resource description information of the multimedia resource consumed by the user account, and the like. The consumption behavior type of the user account on the consumed multimedia resource can be as follows: viewing behavior, like behavior, sharing behavior, commenting behavior, etc. Moreover, the consumption behavior times corresponding to each consumption behavior type may be: the number of viewing behaviors, i.e., the number of viewing times; the number of praise behaviors, namely the number of praise; the number of sharing behaviors, namely the number of sharing; the number of times of behavior review, i.e., the number of reviews.

In step S42, the multimedia resource preference information of the user account is determined according to the multimedia resource information of the multimedia resource consumed by the user account, the consumption behavior type of the consumed multimedia resource by the user account, and the consumption behavior frequency corresponding to each consumption behavior type.

Because the multimedia resource consumption behavior data of the user account in the preset historical time period can be used for representing the multimedia resource consumption preference of the user account in the preset historical time period, after the multimedia resource consumption behavior data are obtained, the multimedia resource preference information of the user account can be determined according to the multimedia resource information of the multimedia resources consumed by the user account, the consumption behavior types of the consumed multimedia resources by the user account and the consumption behavior times corresponding to each consumption behavior type, wherein the multimedia resource consumption behavior information comprises the multimedia resource consumption behavior data.

Therefore, by the technical scheme provided by the implementation mode, the multimedia resource consumption behavior data of the user account in the preset historical time period can be used for accurately determining the multimedia resource preference information of the user account.

As an implementation manner of the embodiment of the present disclosure, step S42, determining multimedia resource preference information of a user account according to multimedia resource information of a multimedia resource consumed by the user account, a consumption behavior type of the consumed multimedia resource by the user account, and a consumption behavior frequency corresponding to each consumption behavior type, as shown in fig. 5, may include the following steps:

in step S51, a weighting factor corresponding to each consumption behavior type is determined.

Specifically, the consumption behavior types may include: viewing behavior, like behavior, sharing behavior, commenting behavior, etc. For each consumption behavior type, a weighting factor may be set. The size of the weighting factor corresponding to each consumption behavior type can be set according to actual conditions. The embodiment of the present disclosure is not particularly limited to this.

It can be understood that the like behavior, the sharing behavior, and the positive comment behavior all represent that the user likes the multimedia resource more, and therefore, in practical applications, higher weighting factors can be set for the like behavior, the sharing behavior, and the positive comment behavior.

In step S52, the consumption behavior times and the corresponding weighting factors corresponding to each consumption behavior type are weighted and summed to obtain a preference index of each multimedia resource consumed by the user account.

After the weighting factors corresponding to the consumption behavior types are obtained, the consumption behavior times of each consumption behavior type and the corresponding weighting factors can be weighted and summed to obtain the preference index of each multimedia resource consumed by the user account. For example, the types of consumption behavior may include: viewing behavior, like behavior, sharing behavior, commenting behavior, etc. And the preference index of each multimedia resource is the viewing times, the weight factor corresponding to the viewing behavior + the praise times, the weight factor corresponding to the praise behavior + the sharing times, the weight factor corresponding to the sharing behavior + the comment times, and the weight factor corresponding to the comment behavior.

In step S53, the multimedia resource preference information of the user account is determined according to the multimedia resource information of the multimedia resources whose descending order of preference indexes is within the preset ordering range.

After the preference indexes of each multimedia resource consumed by the user account are obtained, the multimedia resources consumed by the user account can be sorted in a descending order according to the sequence of the preference indexes from large to small, and the multimedia resource preference information of the user account is determined according to the descending order within the preset descending order range, namely according to the multimedia resource information of the preset number of multimedia resources which are sorted at the top.

The multimedia resource information may include multimedia resource description information of the multimedia resource, for example, when the multimedia resource includes a video, the multimedia resource description information may be: video titles, video content introduction information, preset video classification labels and the like. The video description information can be subjected to word segmentation and duplication removal to obtain video preference information of the user account.

And when the multimedia resource comprises a video, the multimedia resource information can also comprise a characteristic image frame, the characteristic image frame of the video is input into a pre-trained image recognition model, the image recognition model can recognize the characteristic image frame to obtain attribute information of a target object included in the characteristic image frame and an association relation of the target object, and the video preference information of the user account can be obtained according to the attribute information of the target object and the association relation of the target object.

Therefore, according to the technical scheme provided by the implementation mode, the multimedia resource with the higher recommendation index can be determined as the multimedia resource liked by the user account through the recommendation index of the multimedia resource consumed by the user account, and the multimedia resource preference information of the user account can be accurately determined according to the multimedia resource information of the multimedia resource liked by the user account.

As an implementation manner of the embodiment of the present disclosure, detecting the current network status of the user account may include the following steps, which are step d1 and step d 2:

and d1, detecting the current network transmission rate of the user account.

And d2, when the network transmission rate is less than the preset network transmission rate threshold, determining that the current network state of the user account is a weak network state.

In this implementation manner, in order to accurately determine the current network state of the user account, the current network transmission rate of the user account may be detected in real time, and the current network transmission rate of the user account is compared with the preset network transmission rate threshold, and when the network transmission rate is smaller than the preset network transmission rate threshold, it is determined that the current network transmission rate of the user account is lower, so that it may be determined that the current network state of the user account is a weak network state. When the network transmission rate is greater than the preset network transmission rate threshold, it indicates that the current network transmission rate of the user account is higher, so that it can be determined that the current network state of the user account is a non-weak network state. The size of the preset network transmission rate threshold value may be set according to actual conditions, and the size of the preset network transmission rate threshold value is not specifically limited in the embodiment of the present disclosure.

Therefore, by the technical scheme provided by the implementation mode, whether the current network state of the user account is in the weak network state can be accurately determined.

As another implementation manner of the embodiment of the present disclosure, detecting the current network status of the user account may include the following steps, which are step e1 and step e 2:

step e1, detecting the current network transmission type of the user account.

Step e2, when detecting that the current network transmission type of the user account is a preset network type, determining that the current network state of the user account is a weak network state, wherein the preset network type includes a 2G network or a 3G network.

In the implementation manner, in order to accurately determine the current network state of the user account, the current network transmission type of the user account may be detected in real time, and it is determined whether the current network transmission type of the user account is a preset network type, where the preset network type may be a network type with poor network quality such as a 2G network or a 3G network. When the current network transmission type of the user account is the preset network type, the situation that the user account is delayed or blocked when the user account loads the video online by using the current network is shown, and therefore the current network state of the user account can be determined to be the weak network state. When the current network transmission type of the user account is not the preset network type, the probability that the user account is delayed or blocked by using the current network to online load the video is low, so that the current network state of the user account can be determined to be a non-weak network state.

On the basis of the embodiment shown in fig. 1, in an implementation manner, in order to obtain the current network state, the terminal may trigger the server to detect and return the current network state of the user account by sending a current network state detection request to the server;

and/or the terminal can trigger the server to acquire the multimedia resource preference information of the user account and return the multimedia resource preference information when detecting that the current network state of the user account is the weak network state by sending a multimedia resource preference information acquisition request to the server in order to acquire the multimedia resource preference information of the user account;

or/and the terminal can trigger the server to select the target multimedia resource from the pre-cached candidate multimedia resources for loading and returning according to the multimedia resource preference information by sending a target multimedia resource acquisition request to the server in order to acquire the target multimedia resource.

Specifically, in this embodiment, the server may return the current network status of the user account, the multimedia resource preference information of the user account, and the target multimedia resource to the terminal.

Therefore, according to the technical scheme provided by the embodiment, the terminal can execute the three steps of detecting the current network state of the user account, acquiring the multimedia resource preference information of the user account, selecting the target multimedia resource from the pre-cached candidate multimedia resources to load according to the multimedia resource preference information, and can trigger the server to execute the three steps, which is reasonable. The three steps are executed by the server, so that the calculation amount of the terminal is reduced, namely, the terminal only needs to display the target multimedia resource after responding to the display triggering operation of the user account on the multimedia resource page.

Fig. 6 is a flowchart illustrating a method for presenting a multimedia asset, applied to a server, according to an exemplary embodiment, and as shown in fig. 6, the method for presenting a multimedia asset may include the following steps.

In step S61, in response to the received current network status detection request, detecting and returning the current network status of the user account;

or, in step S62, in response to the received video preference information obtaining request, when it is detected that the current network status of the user account is the weak network status, obtaining the multimedia resource preference information of the user account and returning;

alternatively, in step S63, in response to the received target multimedia resource acquisition request, the target multimedia resource is selected from the pre-cached candidate multimedia resources according to the multimedia resource preference information, loaded and returned.

The detailed description of this part can be seen from the above, and the embodiments of the present disclosure are not repeated herein.

On the basis of the above embodiment, selecting a target multimedia resource from pre-cached candidate multimedia resources for loading according to multimedia resource preference information includes:

acquiring a recommendation index of each candidate multimedia resource according to the multimedia resource preference information;

selecting candidate multimedia resources with the descending sorting order of the recommendation index within a preset sorting range as target multimedia resources;

and loading the target multimedia resource.

On the basis of the embodiment, the multimedia resource preference information comprises a preference feature word set;

obtaining a recommendation index of each candidate multimedia resource according to the multimedia resource preference information, wherein the recommendation index comprises:

extracting a multimedia resource feature word set of each candidate multimedia resource;

and obtaining semantic similarity between the multimedia resource feature word set and the preference feature word set of each candidate multimedia resource to serve as a recommendation index of each candidate video.

On the basis of the above embodiment, the candidate multimedia resource includes a candidate video;

extracting a multimedia resource feature word set of each candidate multimedia resource, comprising:

acquiring video description information of each candidate video;

and performing word segmentation and de-repetition processing on the video description information to obtain a video feature word set of each candidate video.

acquiring video description information of each candidate video, and performing word segmentation and duplicate removal processing on the video description information to obtain description feature words of each candidate video;

acquiring a characteristic image frame of each candidate video, inputting the characteristic image frame of each candidate video into a pre-trained image recognition model, and obtaining attribute information of a target object included in the characteristic image frame of each candidate video and an incidence relation between the target objects, wherein the characteristic image frame comprises a video cover image and/or a key frame image;

determining image feature words of feature image frames of each candidate video according to the attribute information of the target objects and the incidence relation between the target objects;

and for each candidate video, determining the description characteristic words and the image characteristic words of the candidate video as the video characteristic words of the candidate video.

On the basis of the above embodiment, acquiring the multimedia resource preference information of the user account includes:

acquiring multimedia resource consumption behavior data of a user account in a preset historical time period, wherein the video consumption behavior data comprises: the method comprises the steps that multimedia resource information of multimedia resources consumed by a user account, consumption behavior types of the consumed multimedia resources by the user account and consumption behavior times corresponding to each consumption behavior type are obtained;

and determining the multimedia resource preference information of the user account according to the multimedia resource information of the multimedia resources consumed by the user account, the consumption behavior types of the consumed multimedia resources by the user account and the consumption behavior times corresponding to each consumption behavior type.

On the basis of the above embodiment, determining the multimedia resource preference information of the user account according to the multimedia resource information of the multimedia resource consumed by the user account, the consumption behavior types of the consumed multimedia resource by the user account, and the consumption behavior times corresponding to each consumption behavior type, includes:

determining a weight factor corresponding to each consumption behavior type;

weighting and summing the consumption behavior times corresponding to each consumption behavior type and the corresponding weight factors to obtain a preference index of each multimedia resource consumed by the user account;

and determining the multimedia resource preference information of the user account according to the multimedia resource information of the multimedia resources with the descending sorting order of the preference indexes within the preset sorting range.

On the basis of the above embodiment, before selecting a target multimedia resource from the pre-cached candidate multimedia resources for loading according to the multimedia resource preference information, the method further includes:

in a preset caching period, acquiring one or more of the following multimedia resources: click times, play times, share times and comment times;

the multimedia resources are sorted in a descending order according to the number of clicks, the number of plays, the number of shares or the number of comments, or the videos are sorted in a descending order according to the weighted scores of at least two of the number of clicks, the number of plays, the number of shares and the number of comments;

and determining the multimedia resources with the descending sorting order within the preset sorting range as candidate multimedia resources and caching the candidate multimedia resources.

On the basis of the above embodiment, detecting the current network status of the user account includes:

detecting the current network transmission rate of a user account;

and when the network transmission rate is smaller than a preset network transmission rate threshold value, determining that the current network state of the user account is a weak network state.

detecting the current network transmission type of a user account;

when the current network transmission type of the user account is detected to be a preset network type, determining that the current network state of the user account is a weak network state, wherein the preset network type comprises a 2G network or a 3G network.

According to a third aspect of the embodiments of the present disclosure, there is provided a presentation apparatus of multimedia assets, as shown in fig. 7, the apparatus including:

the network state detection module 710 is configured to execute a display triggering operation of a multimedia resource page in response to a user account, and detect a current network state of the user account;

a multimedia resource preference information obtaining module 720, configured to perform, when it is detected that the current network status of the user account is a weak network status, obtaining multimedia resource preference information of the user account;

a target multimedia resource obtaining module 730 configured to select a target multimedia resource from the pre-cached candidate multimedia resources for loading according to the multimedia resource preference information;

a target multimedia resource presentation module 740 configured to perform presentation of the target multimedia resource on the multimedia resource page.

Optionally, the target multimedia resource obtaining module includes:

a recommendation index calculation unit configured to execute obtaining a recommendation index of each candidate multimedia resource according to the multimedia resource preference information;

the target multimedia resource acquisition unit is configured to select the candidate multimedia resources with the descending sorting order of the recommendation indexes within a preset sorting range as the target multimedia resources;

a target multimedia resource loading unit configured to perform loading of the target multimedia resource.

Optionally, the multimedia resource preference information includes a preference feature word set; the recommendation index calculation unit is specifically configured to perform:

and obtaining semantic similarity between the multimedia resource feature word set of each candidate multimedia resource and the preference feature word set, and using the semantic similarity as a recommendation index of each candidate multimedia resource.

Optionally, the candidate multimedia resource includes a candidate video; the recommendation index calculation unit is specifically configured to perform:

acquiring video description information of each candidate video;

acquiring a characteristic image frame of each candidate video, inputting the characteristic image frame of each candidate video into a pre-trained image recognition model, and obtaining attribute information of a target object included in the characteristic image frame of each candidate video and an association relation between the target objects, wherein the characteristic image frame comprises a video cover image and/or a key frame image;

for each candidate video, determining the description feature words and the image feature words of the candidate video as the video feature words of the candidate video.

Optionally, the multimedia resource preference information obtaining module includes:

a consumption behavior data obtaining unit configured to perform obtaining multimedia resource consumption behavior data of the user account within a preset historical time period, the multimedia resource consumption behavior data including: the multimedia resource information of the multimedia resources consumed by the user account, the consumption behavior types of the consumed multimedia resources by the user account, and the consumption behavior times corresponding to each consumption behavior type;

the multimedia resource preference information acquisition unit is configured to execute multimedia resource information of the multimedia resources consumed according to the user account, the consumption behavior types of the consumed multimedia resources by the user account, and the consumption behavior times corresponding to each consumption behavior type, and determine the multimedia resource preference information of the user account.

Optionally, the multimedia resource preference information obtaining unit is specifically configured to perform:

determining a weight factor corresponding to each consumption behavior type;

and determining the multimedia resource preference information of the user account according to the multimedia resource information of the multimedia resources with the descending sorting order of the preference indexes within a preset sorting range.

Optionally, the apparatus further includes a candidate multimedia resource caching module configured to perform:

Optionally, the network status detecting module is specifically configured to perform:

detecting the current network transmission rate of the user account;

detecting the current network transmission type of the user account;

Optionally, the network state detection module is specifically configured to execute detecting a current network state of the user account by sending a current network state detection request to a server, and triggering the server to detect and return the current network state of the user account;

and/or the multimedia resource preference information acquisition module is specifically configured to execute sending of a multimedia resource preference information acquisition request to the server, and trigger the server to acquire and return the multimedia resource preference information of the user account when detecting that the current network state of the user account is a weak network state;

and/or the target multimedia resource acquisition module is specifically configured to execute sending a target multimedia resource acquisition request to the server, and trigger the server to select a target multimedia resource from the pre-cached candidate multimedia resources for loading and returning according to the multimedia resource preference information.

According to a fourth aspect of the embodiments of the present disclosure, there is provided a multimedia resource exhibition apparatus, as shown in fig. 8, the apparatus includes at least one of the following modules:

a network status detection module 810 configured to perform detecting and returning a current network status of the user account in response to the received current network status detection request;

or, the multimedia resource preference information obtaining module 820 is configured to execute, in response to the received video preference information obtaining request, obtaining and returning the video preference information of the user account when detecting that the current network state of the user account is the weak network state;

or, the target multimedia resource obtaining module 830 is configured to execute a process of selecting a target multimedia resource from the pre-cached candidate multimedia resources for loading and returning according to the multimedia resource preference information in response to the received target multimedia resource obtaining request.

Optionally, the target multimedia resource obtaining module includes:

acquiring video description information of each candidate video;

determining a weight factor corresponding to each consumption behavior type;

detecting the current network transmission rate of the user account;

detecting the current network transmission type of the user account;

a processor;

a memory for storing the processor-executable instructions;

a processor;

a memory for storing the processor-executable instructions;

Referring to fig. 9, the multimedia resource sharing system includes: a terminal 910 and a server 920.

After responding to the display triggering operation of the user account on the multimedia resource page, the terminal 910 may send a current network state detection request to the server 920, so that the server 920 detects the current network state of the user account and obtains the current network state of the user account from the server 920; moreover, when detecting that the current network state of the user account is the weak network state, the server 920 may obtain multimedia resource preference information of the user account; according to the multimedia resource preference information, selecting a target multimedia resource from the pre-cached candidate multimedia resources for loading, returning the target multimedia resource to the terminal 910, and displaying the target multimedia resource on the multimedia resource page by the terminal 910.

Description of specific embodiments of the method for explaining the steps executed by the terminal 910 and the server 920 in the system is described, and details of the embodiments of the present disclosure are not repeated herein.

Fig. 10 is a block diagram illustrating an apparatus 1000 for presenting multimedia assets in accordance with an exemplary embodiment. For example, the apparatus 1000 may be a mobile phone, a computer, a digital broadcast electronic device, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.

Referring to fig. 10, the apparatus 1000 may include one or more of the following components: processing component 1002, memory 1004, power component 1006, multimedia component 1008, audio component 1010, input/output (I/O) interface 108, sensor component 1014, and communications component 1016.

The processing component 1002 generally controls the overall operation of the device 1000, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 1002 may include one or more processors 1020 to execute instructions to perform all or a portion of the steps of the methods described above. Further, processing component 1002 may include one or more modules that facilitate interaction between processing component 1002 and other components. For example, processing component 1002 may include a multimedia module to facilitate interaction between multimedia component 1009 and processing component 1002.

The memory 1004 is configured to store various types of data to support operation at the device 1000. Examples of such data include instructions for any application or method operating on device 1000, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 1004 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

The power supply component 1006 provides power to the various components of the device 1000. The power components 1006 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device 1000.

The multimedia component 1008 includes a screen that provides an output interface between the device 1000 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 1008 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the device 1000 is in an operating mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 1010 is configured to output and/or input audio signals. For example, audio component 1010 includes a Microphone (MIC) configured to receive external audio signals when apparatus 1000 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 404 or transmitted via the communication component 1016. In some embodiments, audio component 1010 also includes a speaker for outputting audio signals.

The I/O interface 1010 provides an interface between the processing component 1002 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 1014 includes one or more sensors for providing various aspects of status assessment for the device 1000. For example, sensor assembly 1014 may detect an open/closed state of device 1000, the relative positioning of components, such as a display and keypad of apparatus 1000, sensor assembly 1014 may also detect a change in position of apparatus 1000 or a component of apparatus 1000, the presence or absence of user contact with apparatus 1000, orientation or acceleration/deceleration of apparatus 1000, and a change in temperature of apparatus 1000. The sensor assembly 1014 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 1014 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1014 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communication component 1016 is configured to facilitate communications between the apparatus 1000 and other devices in a wired or wireless manner. The device 1000 may access a wireless network based on a communication standard, such as WiFi, an operator network (such as 2G, 3G, 4G, or 5G), or a combination thereof. In an exemplary embodiment, the communication component 416 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communications component 1016 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 1000 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described presentation method of multimedia resources.

In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 1004 comprising instructions, executable by the processor 1020 of the apparatus 1000 to perform the method of presenting a multimedia asset described above is also provided. Alternatively, for example, the storage medium may be a non-transitory computer-readable storage medium, such as a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

Fig. 11 is a block diagram illustrating an apparatus 1100 for presenting a group according to an example embodiment. For example, the apparatus 1100 may be provided as a server. Referring to fig. 11, the apparatus 1100 includes a processing component 1122 that further includes one or more processors and memory resources, represented by memory 1132, for storing instructions, such as application programs, executable by the processing component 1122. The application programs stored in memory 1132 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1122 is configured to execute the instructions to perform the video presentation method of the third aspect.

The apparatus 1100 may also include a power component 1126 configured to perform power management of the apparatus 1100, a wired or wireless network interface 1150 configured to connect the apparatus 1100 to a network, and an input/output (I/O) interface 1158. The apparatus 1100 may operate based on an operating system stored in the memory 1132, such as Windows Server, MacOS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.

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 application 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

1. A method for displaying multimedia resources, the method comprising:

and displaying the target multimedia resource on the multimedia resource page.

2. The method of claim 1, wherein the selecting a target multimedia resource from pre-cached candidate multimedia resources for loading according to the multimedia resource preference information comprises:

selecting the candidate multimedia resources with the descending sorting order of the recommendation index within a preset sorting range as the target multimedia resources;

and loading the target multimedia resource.

3. A method for presenting multimedia resources, the method comprising at least one of the following steps:

4. An apparatus for presenting multimedia assets, the apparatus comprising:

5. An apparatus for presenting multimedia resources, the apparatus comprising at least one of the following modules:

6. A terminal, comprising:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the method of presenting a multimedia asset as claimed in claim 1 or 2.

7. A server, comprising:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the method of claim 3 for presentation of a multimedia asset.

8. A presentation system of multimedia assets, characterized in that it comprises a terminal according to claim 6 and a server according to claim 7.

9. A storage medium in which instructions, when executed by a processor of a terminal, enable the terminal to perform the presentation method of a multimedia asset as claimed in claim 1 or 2.

10. A storage medium in which instructions, when executed by a processor of a server, enable the server to perform the method of presenting a multimedia asset of claim 3.