CN117009557A - Multimedia system data processing method and processing device - Google Patents

Multimedia system data processing method and processing device Download PDF

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Publication number
CN117009557A
CN117009557A CN202310993498.5A CN202310993498A CN117009557A CN 117009557 A CN117009557 A CN 117009557A CN 202310993498 A CN202310993498 A CN 202310993498A CN 117009557 A CN117009557 A CN 117009557A
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user
multimedia data
data
multimedia
browsing
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洪学红
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Suzhou Ruishan Media Co ltd
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Suzhou Ruishan Media Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/43Querying
    • G06F16/435Filtering based on additional data, e.g. user or group profiles
    • G06F16/437Administration of user profiles, e.g. generation, initialisation, adaptation, distribution
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/73Querying
    • G06F16/735Filtering based on additional data, e.g. user or group profiles
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9536Search customisation based on social or collaborative filtering
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01Social networking

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  • Multimedia (AREA)
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Abstract

The application discloses a multimedia system data processing method and a processing device, wherein the multimedia system data processing method comprises the following steps: acquiring multimedia data and a friend relation established between a first user and a second user; acquiring browsing habits of a second user; and establishing a data filter layer, filtering the acquired multimedia data, and pushing the filtered multimedia data to a second user, wherein the filtering rule of the data filter layer is generated based on the friend relation established between the first user and the second user and the browsing habit of the second user. The application is beneficial to avoiding the problem that users repeatedly browse the multimedia data which are released and displayed in different windows but are identical in the different windows by the users with friend relations.

Description

Multimedia system data processing method and processing device
Technical Field
The application belongs to the technical field of internet data processing, and particularly relates to a multimedia system data processing method and a multimedia system data processing device.
Background
With the explosive growth of short video interactive sharing in society, more and more common users have also tried to change from multimedia data receivers to multimedia data publishers, which means that the internet is full of various kinds of short videos.
In order to facilitate improving the viscosity of the user, the short video platform provides the attention function and the multimedia data pushing function of the user: the attention function is that different users can establish certain connection through attention, so that the short video platform can accurately push multimedia data to the corresponding users through the established connection; the multimedia data pushing function is mainly used for calculating the preference matching degree of users by utilizing the labels of the multimedia data to a certain degree by aiming at strange users, and pushing the multimedia data with high matching property to the corresponding users, so that the users can enjoy the satisfactory or favorite multimedia data as much as possible, and the user experience and the user viscosity are improved.
However, currently, the user of the short video platform pushes multimedia data through the area by using the interface to the user who has already focused on and has established a certain contact with the strange user, for example, a "focused" column and a "recommended" column are usually set on the user interface to distinguish the sources of different multimedia data, where the multimedia data in the "focused" column is from the user who has focused on and has established a certain contact, and the multimedia data in the "recommended" column is mainly from the strange user.
Based on this existing use situation, the following problems generally occur: when a user browses multimedia data, the user browses multimedia data released by a user who has focused and established a certain contact in a focused column, and browses multimedia data released by a user who has focused and established a certain contact in a recommended column, because the multimedia data released by a user who focuses and established a certain contact is also in a content pool of a platform and is also pushed to the user by the platform through an algorithm, more importantly, if the user focuses on the user, the multimedia data released by the user can be preferentially pushed to the user due to the friend relationship in the recommended column, which can lead the user to receive and repeatedly watch the same multimedia data released by the user in different content columns, and the type change of the multimedia data released by the user is not in accordance with the preference of the user and is still recommended to the user, so that the use experience of the user is not facilitated.
Disclosure of Invention
Aiming at the technical requirements in the prior art, the application provides the following technical scheme:
a method for processing data of a multimedia system, the method comprising:
acquiring multimedia data and a friend relation established between a first user and a second user;
acquiring browsing habits of a second user;
and establishing a data filter layer, filtering the acquired multimedia data, and pushing the filtered multimedia data to a second user, wherein the filtering rule of the data filter layer is generated based on the friend relation established between the first user and the second user and the browsing habit of the second user.
Further, the method for filtering the multimedia data by the data filter layer comprises the following steps:
determining a window interface of a current second user;
acquiring a record of browsing the multimedia data by a second user in a certain time period;
marking multimedia data released by a first user with a friend relation with a second user;
the marked multimedia data to be pushed to the second user is skipped.
Further, the recording of the second user browsing the multimedia data in a certain period of time includes browsing data of the second user in any window.
Further, the method further comprises the step of skipping the multimedia data which is to be pushed to the second user and is published by the first user which is not marked and has a friend relation with the second user, and the method for skipping the multimedia data which is to be pushed to the second user and is published by the first user which is not marked and has a friend relation with the second user is as follows:
acquiring tag information of multimedia data issued by a first user, and matching with browsing habits of a second user;
and skipping the multimedia data if the matching degree is lower than a preset value.
Further, the alternative method for skipping the multimedia data published by the first user which is about to be pushed to the second user and is not marked and has a friend relation with the second user is as follows:
acquiring a plurality of third users with browsing habits similar to those of the second users, wherein the third users are users successfully pushed with target multimedia data, and the target multimedia data are multimedia numbers to be pushed to the second users;
and obtaining operation information of a plurality of third users on the target multimedia data, forming a pushing coefficient, and skipping the multimedia data when the pushing coefficient does not meet the requirement of a preset threshold value.
Further, the push coefficient is Xp, and the push coefficient Xp is calculated by adopting the following formula:
where n is the number of third users acquired, X i For the operation evaluation score of the ith third user on the target multimedia data, any one of the target multimedia data will have an initial preset operation evaluation score M, and the operation performance of the third user will change the value of the operation evaluation score M.
Further, the operation performance of the third user comprises a scoring operation and a subtracting operation, wherein the scoring operation comprises complete browsing, fast forward browsing and labeling, and the subtracting operation comprises skipping after partial browsing, browsing initial direct skipping and labeling.
The application also provides a multimedia system data processing device, which is used for executing the multimedia system data processing method, and comprises the following steps:
a content server configured to obtain multimedia data published by a first user;
the first data acquisition module is configured to acquire a friend relationship established between a first user and a second user;
the second data acquisition module is configured to acquire browsing habits of a second user;
and the data filtering module is configured to filter the multimedia data from the content server pushed to the second user.
The beneficial effects of the application are as follows:
(1) The method and the device have the advantages that the phenomenon that users repeatedly browse multimedia data which are released by users with friend relations and are displayed in different windows but are identical in the same window is avoided, the multimedia data which have been browsed by the users in a certain time are rapidly identified and marked based on the friend relations, and further skip operation can be carried out on the marked multimedia data which have been browsed according to marking conditions of browsing records of the users in any window;
(2) The method has the advantages that the situation that users browse multimedia data which are published by users with friend relations but are not matched with the user is avoided, when the users do not browse any multimedia data before, browsing records do not exist, therefore, marked multimedia data do not exist, a referee pushing coefficient is formed according to the browsing operation condition of other users which are positioned with the same browsing preference as the users on specific multimedia data, and whether pushing is executed can be judged directly according to the pushing coefficient, so that the situation that users browse the multimedia data which are published by users with friend relations but are not matched with the user, and meanwhile, for the multimedia data to be pushed, whether the multimedia data are published by users with friend relations or unfamiliar users, pushing judgment is carried out only by adopting a method, and the problem that calculation resources are wasted due to the fact that algorithms based on friend relations are pushed first and then algorithms based on the browsing habit matching degree of second users are skipped is avoided.
Drawings
FIG. 1 is a schematic diagram of a basic framework of a data processing method of a multimedia system in an embodiment;
fig. 2 is a schematic diagram showing a structure of a data processing apparatus of a multimedia system in an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the present application will be clearly and completely described below with reference to the embodiments.
As shown in fig. 1, the basic framework structure of the data processing method of the multimedia system in this embodiment is shown, where the multimedia system includes a user terminal and a platform terminal, where the platform terminal provides multimedia data processing services, and has a content pool for receiving multimedia data, such as "jittering," "fast hand," "micro-vision," "watermelon," "beep," etc., which all belong to the category of such platforms, the user terminal provides multimedia data to the platform terminal, the multimedia data provided by the user terminal is usually content creation, and the user terminal is divided into a first user and a second user according to different interaction modes with the platform terminal, where the first user is to issue multimedia data to the platform terminal, and the second user is to obtain and browse multimedia data issued by other users through the platform terminal, and the same user terminal may be the first user or the second user.
The user terminal is a terminal device, and may be, but not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart television, an intelligent wearable device, and the like.
The platform end is a server, can be an independent physical server, can be a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, a content distribution network (ContentDeliveryNetwork, CDN), basic cloud computing services such as big data and an artificial intelligent platform.
The application provides a multimedia system data processing method, which comprises the following steps.
Step 100: and acquiring multimedia data issued by the first user and a friend relation established between the first user and the second user.
The platform side generally sets a content server for acquiring and storing multimedia data issued by the first user, the first user and the second user generally register an application account of the platform side first, access the content server set by the platform side through the application account, and establish a friend relationship between the first user and the second user through rules preset by the platform side.
Step 200: and acquiring the browsing habit of the second user.
The second user is determined according to the use state, namely, when the user uses the terminal to acquire and browse the multimedia data, the second user can be defined as the second user, different users have different browsing habits and hobbies, when the user is interested in the content, the user can browse completely, when the user is not interested in the content and even tired of the user, the user can fast forward or even directly skip, the platform side can make data labels on the multimedia data content issued by the first user, so as to clearly distinguish the multimedia data of different content types, if the multimedia data content is related to PPT teaching, the second user can have labels like 'PPT' or 'PPT teaching', and the like, and after browsing a large amount of multimedia data of the type, the platform side can obtain the browsing habits of the user according to the browsing record combination algorithm of the second user, and can optimize the push content in the following service process according to the browsing habits of the user.
The above-described steps 100 and 200 have essentially no sequential relationship and may be performed in reverse.
Step 300: and establishing a data filter layer, and pushing the multimedia data content conforming to the filter rule on the content server to a second user.
This step is essentially pushing satisfactory multimedia data content to the user, but unlike existing pushing methods, this step needs to solve the following problems:
(1) The second user receives and browses the same multimedia data issued by the same first user in different windows, and only the algorithms pushed by the platform are different in different windows, particularly the platform can push the multimedia data in a specific window (such as a 'concerned' window) based on the association rule of the friend relation which the second user and the first user can establish, and can push the same multimedia data again in a recommended window based on the browsing habit of the second user;
(2) Based on the friend relation established between the second user and the first user, the second user can be preferentially pushed to the multimedia data which are published by the first user and have poor matching degree with the browsing habit of the second user in the recommendation window.
In this embodiment, as a more specific description of step 300, the method of filtering multimedia data by the data filtering layer is as follows.
Step 310: and determining a window interface of the current second user and a data pushing algorithm corresponding to the window interface.
Step 320: if the data pushing is determined to be an algorithm based on a friend relation and a window interface corresponding to the algorithm, acquiring a record of browsing data of a second user in a certain time period, marking out multimedia data issued by a first user with the friend relation of the second user, pushing the multimedia data issued by the first user with the friend relation to the second user based on an original algorithm of the window interface, and directly skipping when the pushed multimedia data is the same as the multimedia data marked in the browsing record of the second user.
Step 330: if the data pushing is determined to be an algorithm based on the browsing habit of the second user and a window interface corresponding to the algorithm, acquiring a record of browsing data of the second user in a certain period, marking out multimedia data issued by a first user with a friend relationship of the second user, pushing the multimedia data matched with the browsing habit of the second user and/or the multimedia data issued by the first user with the friend relationship to the second user based on the algorithm of the original window interface, and directly skipping when the pushed multimedia data is the multimedia data issued by the first user with the friend relationship and has poor matching degree with the browsing habit of the second user.
In the embodiment of the present application, the certain period of time is a preset value, and is determined mainly according to the usage habit of the user or the update frequency of the multimedia data, for example, may be set to 24 hours.
For the above-mentioned steps 320 and 330, there is no difference in the order of execution, the step 320 may be executed first and then the step 330 may be executed, the step 330 may be executed first and then the step 320 may be executed, or only the step 320 or the step 330 may be executed, which depends on the result of determining the window interface of the current second user and the data pushing algorithm corresponding to the window interface in the step 310.
In this embodiment, as a more specific description of step 330, the multimedia data published by the first user in the friend relationship with the second user has a record that is not browsed by the second user within a certain period of time, and the method for skipping the multimedia data is as follows.
First method
Step 331a: and acquiring tag information of the multimedia data issued by the first user, matching with browsing habits of the second user, pushing the tag information to the first user if the matching degree is high, and skipping if the matching degree is low.
The method is basically executed based on the matching degree of the browsing habit of the second user, but for skipped multimedia data, it is unavoidable that multimedia data issued by the first user having a friend relationship with the second user is pushed through the algorithm based on the friend relationship and then skipped through the algorithm based on the matching degree of the browsing habit of the second user, so that the waste of computing power resources is actually caused.
Second method
Step 331b: acquiring a plurality of third users with browsing habits similar to those of the second users, wherein the third users are users successfully pushed with target multimedia data;
step 332b: and acquiring operation information of a plurality of third users on the target multimedia data, forming a pushing coefficient, and pushing the target multimedia data to the second users when the pushing coefficient meets the requirement of a preset threshold.
When the second method is adopted, whether the multimedia data is released by a strange user or released by a first user with a friend relation with the second user is determined to be pushed to the second user by adopting the method, calculation pushing is not performed by adopting different algorithms according to whether the multimedia data is in the friend relation with the second user, and the problem of calculation resource waste caused by the fact that the multimedia data released by the first user with the friend relation is skipped by the algorithm based on the browsing habit matching degree of the second user is solved.
In this second method, the target multimedia data is any multimedia data published on the platform side content server, and the multimedia data is successfully pushed to other third users before being pushed to the second user, where "second user" and "third user" are the same, and are all user groups that acquire multimedia data from the platform side content server and browse, and "third user" is merely used to distinguish the existence of "second user" in this method.
It is known that after a user pushes multimedia data, the user selects to completely browse the content of the multimedia data according to own browsing habit and content quality of the multimedia data, or skips after partial browsing, or fast forwards browses the content of the multimedia data, or directly skips at the beginning of browsing, or marks the multimedia data negatively (such as dislike), or marks the multimedia data positively (such as collection), and all operations from a third user on target multimedia data affect the result of pushing coefficients.
In the embodiment of the application, a method for pushing coefficients according to operation information of a plurality of third users on target multimedia data is provided, and the method is as follows.
Setting the push coefficient as Xp, and calculating the push coefficient Xp by adopting the following formula:
where n is the number of third users obtained, and the number is determined according to actual calculation, and may be all third users pushed with the target multimedia data, or some third users, X i For the operation evaluation score of the ith third user on the target multimedia data, any one of the target multimedia data will have an initial preset operation evaluation score M (e.g. 10 score), when the operation of the third user appears asThe operation evaluation score M is decremented when the target multimedia data is not of interest, and is incremented when the operation of the third user appears to be of interest to the target multimedia data.
For example, the push coefficient calculation is performed by using the method of adding and subtracting the components corresponding to the operations listed in the following table.
If the number of the third users is 100, and if the final calculated push coefficient Xp is 9.5 (the preset threshold is > 9), the multimedia data is pushed to the second user.
In addition, the embodiment of the application also provides a multimedia system data processing device as shown in fig. 2, which is used for executing the multimedia system data processing method described above, and the device comprises:
a content server configured to obtain multimedia data published by a first user;
the first data acquisition module is configured to acquire a friend relationship established between a first user and a second user;
the second data acquisition module is configured to acquire browsing habits of a second user;
and the data filtering module is configured to filter the multimedia data from the content server pushed to the second user.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting.

Claims (8)

1. A method for processing data in a multimedia system, the method comprising:
acquiring multimedia data and a friend relation established between a first user and a second user;
acquiring browsing habits of a second user;
and establishing a data filter layer, filtering the acquired multimedia data, and pushing the filtered multimedia data to a second user, wherein the filtering rule of the data filter layer is generated based on the friend relation established between the first user and the second user and the browsing habit of the second user.
2. The method for processing multimedia system data according to claim 1, wherein the method for filtering multimedia data by the data filtering layer is as follows:
determining a window interface of a current second user;
acquiring a record of browsing the multimedia data by a second user in a certain time period;
marking multimedia data released by a first user with a friend relation with a second user;
the marked multimedia data to be pushed to the second user is skipped.
3. A method of processing multimedia system data according to claim 2, wherein the second user browsing the record of multimedia data over a period of time comprises the second user browsing data in any window.
4. A method for processing multimedia system data according to claim 3, further comprising skipping multimedia data posted by the untagged first user having a friend relationship with the second user to be pushed to the second user, wherein the skipping the untagged multimedia data posted by the first user having a friend relationship with the second user to be pushed to the second user is:
acquiring tag information of multimedia data issued by a first user, and matching with browsing habits of a second user;
and skipping the multimedia data if the matching degree is lower than a preset value.
5. The method for processing multimedia system data according to claim 4, wherein the alternative method for skipping multimedia data published by the first user who is not marked to be pushed to the second user and has a friend relationship with the second user is as follows:
acquiring a plurality of third users with browsing habits similar to those of the second users, wherein the third users are users successfully pushed with target multimedia data, and the target multimedia data are multimedia numbers to be pushed to the second users;
and obtaining operation information of a plurality of third users on the target multimedia data, forming a pushing coefficient, and skipping the multimedia data when the pushing coefficient does not meet the requirement of a preset threshold value.
6. The method of claim 5, wherein the push coefficient is Xp, and the push coefficient Xp is calculated by the following formula:
where n is the number of third users acquired, X i For the operation evaluation score of the ith third user on the target multimedia data, any one of the target multimedia data will have an initial preset operation evaluation score M, and the operation performance of the third user will change the value of the operation evaluation score M.
7. The method according to claim 6, wherein the third user's operation performance includes a scoring operation and a subtracting operation, the scoring operation includes complete browsing, fast forward browsing, and labeling, and the subtracting operation includes skipping after partial browsing, initial direct skip of browsing, labeling with negative labels.
8. A multimedia system data processing apparatus for performing the multimedia system data processing method of any one of claims 1 to 7, the apparatus comprising:
a content server configured to obtain multimedia data published by a first user;
the first data acquisition module is configured to acquire a friend relationship established between a first user and a second user;
the second data acquisition module is configured to acquire browsing habits of a second user;
and the data filtering module is configured to filter the multimedia data from the content server pushed to the second user.
CN202310993498.5A 2023-08-08 2023-08-08 Multimedia system data processing method and processing device Pending CN117009557A (en)

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Publication number Priority date Publication date Assignee Title
CN102317941A (en) * 2011-07-30 2012-01-11 华为技术有限公司 Information recommending method, recommending engine and network system
CN103258020A (en) * 2013-05-02 2013-08-21 华南师范大学 Recommending system and method combining SNS and search engine technology
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