CN113254705A

CN113254705A - Video pushing method and device for notification sound, electronic equipment and storage medium

Info

Publication number: CN113254705A
Application number: CN202010091834.3A
Authority: CN
Inventors: 李金生; 郝建忠; 吕汉鑫; 唐晓磊; 李绮婷
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Guangdong Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Guangdong Co Ltd
Priority date: 2020-02-13
Filing date: 2020-02-13
Publication date: 2021-08-13
Anticipated expiration: 2040-02-13
Also published as: CN113254705B

Abstract

The embodiment of the invention provides a notification sound video pushing method, a notification sound video pushing device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring network traffic information of a plurality of users in a preset time period, and acquiring a plurality of user tag lists formed by user favorite feature tags corresponding to the network traffic information of the plurality of users according to a preset user tag feature library; acquiring a label combination set by an advertisement putting party for a target advertisement video, screening a plurality of user label lists according to the label combination, and forming a target user list of the target advertisement video by users corresponding to the user label lists which accord with the label combination; and under the condition that a preset notification sound is pushed to the target user in the target user list and the condition that the user called by the target user opens the video service of the notification sound is detected, pushing the target advertisement video to the target user. The embodiment of the invention can carry out personalized advertisement video push according to the favor of the user, and can effectively improve the recognition degree of the user.

Description

Video pushing method and device for notification sound, electronic equipment and storage medium

Technical Field

The present invention relates to the field of communications, and in particular, to a notification sound video push method, a notification sound video push apparatus, an electronic device, and a computer-readable storage medium.

Background

A video color ring based on a Long-Term Evolution Voice bearer (VOLTE for short) is a ring-back tone playing service. When a called user opens VOLTE video color ring service and the called user has personalized order to the video to be presented, when the calling user initiates an audio call to the called user and the called user is in an idle state, the color ring platform plays the ordered video color ring for the calling user when the called user rings; when a calling user initiates an audio call to a called user and the called user is in a non-idle state, for example: the called party is in non-idle states such as shutdown, busy and arrearage shutdown, and when the called party rings, the polyphonic ringtone platform cannot play the ordered video polyphonic ringtone for the calling party, and needs to inform the calling party in an audio mode, and the current state of the called party is, for example: and playing audio of 'the user who dials you is off, please dial later'. Under the condition that the called user opens the VOLTE video color ring service and the called user does not perform personalized subscription on the video to be presented, when the calling user initiates an audio call to the called user and the called user is in an idle state, the color ring platform cannot play the video color ring for the calling user when the called user rings, and can only play the audio of 'beep' for the calling user.

Aiming at the two scenes that the video color ring can not be played for the calling user, in order to enable the calling user to obtain consistent service perception, the VOLTE video color ring service provider can push advertisement video for the calling user under the two scenes, and the notification under the two scenes is audio-video. However, the existing advertisement video pushing method for realizing notification audio and video cannot perform personalized advertisement video pushing according to the preference of the user, so that the recognition degree of the user is low.

Disclosure of Invention

Embodiments of the present invention provide a notification audio video pushing method, a notification audio video pushing apparatus, an electronic device, and a computer-readable storage medium, which can perform personalized advertisement video pushing according to user preferences, and can effectively improve user recognition.

In order to solve the above technical problem, the embodiment of the present invention is implemented as follows:

in a first aspect, an embodiment of the present invention provides a method for pushing notification sound in a video mode, where the method includes:

acquiring network traffic information of a plurality of users within a preset time period, and acquiring a plurality of user tag lists formed by user favorite feature tags corresponding to the network traffic information of the plurality of users according to a preset user tag feature library;

acquiring a label combination set by an advertisement putting party for a target advertisement video, screening the plurality of user label lists according to the label combination, and forming a target user list of the target advertisement video by users corresponding to the user label lists conforming to the label combination;

and under the condition that a preset notification sound is pushed to a target user in the target user list and the condition that the user called by the target user opens a video service of the notification sound is detected, pushing the target advertisement video to the target user.

In a second aspect, an embodiment of the present invention provides a notification sound visualization pushing apparatus, including:

the system comprises a label acquisition module, a label analysis module and a label analysis module, wherein the label acquisition module is used for acquiring network traffic information of a plurality of users in a preset time period and acquiring a plurality of user label lists formed by user favorite feature labels corresponding to the network traffic information of the plurality of users according to a preset user label feature library;

the user screening module is used for acquiring a label combination set by an advertisement putting party on a target advertisement video, screening the plurality of user label lists according to the label combination, and forming a target user list of the target advertisement video by users corresponding to the user label lists conforming to the label combination;

and the video pushing module is used for pushing a preset notification sound to the target user in the target user list and pushing the target advertisement video to the target user when detecting that the user called by the target user opens the video service of the notification sound.

In a third aspect, an embodiment of the present invention provides an electronic device, including a processor, a communication interface, a memory, and a communication bus; the processor, the communication interface and the memory complete mutual communication through a bus; the memory is used for storing a computer program; the processor is configured to execute the program stored in the memory, and implement the method for pushing notification sound in a video mode according to the first aspect.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for pushing notification sound in a video mode according to the first aspect.

According to the notification sound video pushing method, the notification sound video pushing device, the electronic equipment and the computer readable storage medium, network traffic information of a plurality of users in a preset time period is obtained, and a plurality of user label lists formed by user favorite feature labels corresponding to the network traffic information of the plurality of users are obtained according to a preset user label feature library; acquiring a label combination set by an advertisement putting party for a target advertisement video, screening a plurality of user label lists according to the label combination, and forming a target user list of the target advertisement video by users corresponding to the user label lists conforming to the label combination; under the condition that a preset notification sound is pushed to a target user in a target user list and the situation that a user called by the target user opens a video service of the notification sound is detected, pushing a target advertisement video to the target user; the method comprises the steps of obtaining favorite feature labels of users by detecting network access flow of the users, screening the favorite feature labels of the users by using label combinations set by an advertisement putting party according to characteristics of products in advertisement videos, screening out users corresponding to the favorite feature labels according with the set label combinations, serving as target users of advertisement video pushing, pushing advertisement videos to the screened target users during notification audio visualization, carrying out personalized advertisement video pushing aiming at contents currently concerned by the users, achieving accurate pushing of the advertisement videos, effectively improving the recognition degree of the users, improving the presentation duration and conversion rate of the advertisement videos and meeting the requirements of the advertisement putting party.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.

Fig. 1 is a flowchart illustrating an implementation manner of a notification audio video pushing method according to an embodiment of the present invention;

FIG. 2 is a flowchart illustrating an implementation manner of obtaining a user tag list according to an embodiment of the present invention;

FIG. 3 is a flowchart illustrating an implementation of constructing a pre-set user tag feature library according to an embodiment of the present invention;

FIG. 4 is a flowchart illustrating another implementation manner of a notification audio video pushing method according to an embodiment of the present invention;

FIG. 5 is a flowchart illustrating an implementation of pushing a targeted advertisement video to a targeted user according to an embodiment of the present invention;

FIG. 6 is a flow chart illustrating a media negotiation of a method for video pushing notification sounds according to an embodiment of the present invention;

FIG. 7 is a flowchart illustrating another implementation manner of a notification audio video pushing method according to an embodiment of the present invention;

FIG. 8 is a schematic structural diagram illustrating an implementation manner of a notification audio visualization pushing apparatus according to an embodiment of the present invention;

FIG. 9 is a schematic structural diagram illustrating another implementation manner of a notification sound visualization pushing apparatus according to an embodiment of the present invention;

FIG. 10 is a schematic structural diagram illustrating another implementation manner of a notification sound visualization pushing apparatus according to an embodiment of the present invention;

fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is only a part of the embodiment of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Fig. 1 is a schematic flowchart of an implementation manner of a method for pushing notification sound in a video, where the method shown in fig. 1 may be executed by a Server, and the Server may be a Server in a called domain, for example, the Server may include a Telephone Application Server (TAS) and an Application Server (AS) of a color ring platform, and the like, which is not limited in this embodiment of the present invention, and AS shown in fig. 1, the method at least includes:

s102, network traffic information of a plurality of users in a preset time period is obtained, and a plurality of user tag lists formed by user favorite feature tags corresponding to the network traffic information of the plurality of users are obtained according to a preset user tag feature library.

In the embodiment of the present invention, the network traffic information may be information of network traffic generated by a user accessing the internet within a preset time period, where the preset time period may be preset according to a requirement, for example, the preset time period may be one day, one week, one month, or the like, and the embodiment of the present invention does not limit this. Optionally, the network traffic information of the multiple users in the preset time period may be obtained through Deep Inspection, for example, the network traffic information of the multiple users in the preset time period may be obtained through Deep Packet Inspection (DPI) and/or Deep Flow Inspection (DFI); or, the network traffic information of the multiple users in the preset time period may be obtained through machine learning, for example, the network traffic information of the multiple users in the preset time period is obtained through a machine learning method such as a neural network; alternatively, the network traffic information of the multiple users in the preset time period may be obtained through combination of depth detection and machine learning, for example, the network traffic information of the multiple users in the preset time period may be obtained through combination of depth flow detection and a neural network; the embodiment of the invention does not limit the implementation mode of acquiring the network traffic information.

Optionally, the obtained network traffic information may be determined according to a method and a requirement for obtaining the network traffic information, and the like, and the content of the network traffic information of the user obtained within the preset time period is not limited in the embodiment of the present invention. For example, the network traffic information obtained by deep packet inspection may include: an IP five-tuple, i.e. a source IP address, a destination IP address, a protocol number, a source port, a destination port, a protocol feature word, etc.; the network traffic information obtained by deep flow detection may include: the number of packets, the packet length of the packets, the connection duration, etc.

In the embodiment of the present invention, the preset user tag feature library may be a preset database in which a corresponding relationship between network traffic information and a user preference feature tag is stored, and the database may allow a server in a called domain to access, for example, a telephone application server in the called domain may access the preset user tag feature library. After the network traffic information of the multiple users within the preset time period is obtained, according to the preset user tag feature library, for each of the multiple users, the user favorite feature tags corresponding to the network traffic information of the user can be respectively obtained to form a user tag list, that is, for each of the multiple users, a user tag list belonging to the user is obtained.

S104, acquiring a label combination set by an advertisement putting party for the target advertisement video, screening a plurality of user label lists according to the label combination, and forming a target user list of the target advertisement video by the users corresponding to the user label lists conforming to the label combination.

In the embodiment of the invention, the advertisement putting party can set a corresponding label combination for the target advertisement video according to the characteristics of the product in the put target advertisement video, so as to select the target user for putting the target advertisement video by using the set label combination. Optionally, the advertisement publisher may select tags that meet the product characteristics in the target advertisement video from a tag list provided by the server, for example, the tag list provided by the server may sort the tags according to the historical data of the advertisement publisher; alternatively, the server may provide alternative tags according to the description of the product in the target advertisement video provided by the advertisement putting party, and the advertisement putting party may select tags which meet the characteristics of the product in the target advertisement video from the alternative tags provided by the server. Optionally, the advertisement delivery party may use a label set composed of the selected labels as a label combination set for the target advertisement video; or, the advertisement delivery party may set or select a corresponding logical operator, perform logical operation on the selected tag, and form a logical expression of the tag as a tag combination set for the target advertisement video.

Optionally, the tag provided by the server for the advertisement delivery party may be a feature tag obtained from a preset user tag feature library, and at this time, the tag in the tag combination set by the advertisement delivery party for the target advertisement video may be selected from feature tags provided by the preset user tag feature library.

In some optional examples, the advertisement delivery party may match a tag set for the target advertisement video with a plurality of user tag lists, filter out user tag lists having all tags in the tag set, and compose users corresponding to the filtered user tag lists into a target user list of the target advertisement video. In other optional examples, the advertisement delivery party may match the logic expression of the tag set for the target advertisement video with the plurality of user tag lists, filter out the user tag lists that meet the filtering logic of the logic expression of the tag, and compose the users corresponding to the filtered user tag lists into the target user list of the target advertisement video.

Optionally, the user tag lists of multiple users may be filtered according to the tag combinations set by the advertisement delivery party at a preset time granularity, for example, a day, a week, a month, or the like, to obtain the target user list of the target advertisement video, that is, the target user list of the target advertisement video is updated at the preset time granularity, which is not limited in the embodiment of the present invention.

S106, under the condition that a preset notification sound is pushed to the target user in the target user list and the situation that the user called by the target user opens the video service of the notification sound is detected, pushing the target advertisement video to the target user.

In the embodiment of the present application, the preset notification sound may include an audio frequency for notifying the calling user of the current state of the called user when the called user is in the non-idle state, as shown in table 1, several main non-idle states of the called user and notification sound texts corresponding to each state are listed in table 1, and in order to avoid misleading the calling user, the content notifying the calling user cannot be customized by the user; the preset notification tone may also include a "beep" audio that is played for the calling user when the called user is in the idle state, i.e., an audio that informs the calling user that the called user is currently in the idle state.

TABLE 1

Called party state	Notification sound
		Called as a blank number	Your good! The number dialed by a user is an empty number, and the number is dialed after checking.
Shutdown of called party	Your good! The telephone called by you is turned off
		Is unreachable for the called party	Your good! You can not make a call for a while and ask for a call to be made later.
The called party is busy and has a call waiting service	Your good! Please do not hang up and the phone you are calling.
		Called busy no call waiting service	Your good! You are calling and please call later.
Refusing to answer by called party	Your good! You are calling and please call later.
		Called shutdown	Your good! You have taken the call off line.
Called arrearage shutdown	Your good! You have owed the phone, ask you to pay the phone fee, thank you!

In some optional examples, the VOLTE video ringback tone service may include a notification audio video service. At the moment, when the called user opens the VOLTE video color ring service and the called user has carried out personalized order on the video to be presented, when the calling user initiates an audio call to the called user and the called user is in a non-idle state, the target user list of the target advertisement video can be detected, if the calling user is detected to be the target user in the target user list, a preset notification sound is pushed to the calling user to inform the calling user that the called user is in the non-idle state at present, and meanwhile, the target advertisement video corresponding to the target user list is pushed to the calling user; when a called user opens a VOLTE video color ring service and the called user does not perform personalized order on a video to be presented, when a calling user initiates an audio call to the called user and the called user is in an idle state, a target user list of a target advertisement video is detected, if the calling user is detected to be a target user in the target user list, a preset notification sound is pushed to the calling user to inform the calling user that the called user is in the idle state at present, and meanwhile, the target advertisement video corresponding to the target user list is pushed to the calling user.

According to the video pushing method of the notification sound, provided by the embodiment of the invention, a plurality of user tag lists consisting of user favorite feature tags corresponding to network traffic information of a plurality of users are obtained according to a preset user tag feature library by obtaining the network traffic information of the plurality of users in a preset time period; acquiring a label combination set by an advertisement putting party for a target advertisement video, screening a plurality of user label lists according to the label combination, and forming a target user list of the target advertisement video by users corresponding to the user label lists conforming to the label combination; under the condition that a preset notification sound is pushed to a target user in a target user list and the situation that a user called by the target user opens a video service of the notification sound is detected, pushing a target advertisement video to the target user; the method comprises the steps of obtaining favorite feature labels of users by detecting network access flow of the users, screening the favorite feature labels of the users by using label combinations set by an advertisement putting party according to characteristics of products in advertisement videos, screening out users corresponding to the favorite feature labels according with the set label combinations, serving as target users of advertisement video pushing, pushing advertisement videos to the screened target users during notification audio visualization, carrying out personalized advertisement video pushing aiming at contents currently concerned by the users, achieving accurate pushing of the advertisement videos, effectively improving the recognition degree of the users, improving the presentation duration and conversion rate of the advertisement videos and meeting the requirements of the advertisement putting party.

The following describes the detailed description of the method for pushing notification sound in a video mode according to the embodiments of fig. 2 to 7.

Fig. 2 is a schematic flow diagram of an implementation manner of obtaining a user tag list according to an embodiment of the present invention, where in the method shown in fig. 2, each of a plurality of users is taken as an object, and a method for obtaining a user tag list composed of user favorite feature tags corresponding to network traffic information of the user according to a preset user tag feature library by obtaining the network traffic information of the user in a preset time period is described, as shown in fig. 2, the method at least includes:

s202, network flow of the user in a preset time period is obtained, deep detection processing is carried out on the network flow, and feature information of the network flow is extracted.

Optionally, after obtaining network traffic generated by a user accessing the internet within a preset time period, deep packet inspection processing may be performed on the network traffic, and feature information of the network traffic is extracted, for example, the feature information of the network traffic may include: IP quintuple, Universal Resource Identifier (URI), HOST field, protocol feature word, etc.; or after obtaining network traffic generated by a user accessing the internet within a preset time period, deep flow detection processing may be performed on the network traffic, and feature information of the network traffic is extracted, for example, the feature information of the network traffic may include: the number of data packets, the packet length of the data packets, the interval time of the data packets, the connection duration, etc.; or after the network traffic generated by the user accessing the internet within the preset time period is obtained, deep packet detection processing and deep stream detection processing can be performed on the network traffic, and the characteristic information of the network traffic is extracted; the implementation method for performing deep detection processing on the network traffic and the content of the extracted characteristic information of the network traffic are not limited in the embodiments of the present invention.

And S204, acquiring a user favorite feature label corresponding to the feature information from a preset user label feature library according to the feature information of the network traffic.

Optionally, the preset user tag feature library may be a preset database storing a corresponding relationship between feature information of network traffic and a user preference feature tag, and the user preference feature tag corresponding to the feature information of the network traffic in the preset user tag feature library matched with the feature information of the user network traffic may be obtained by matching the extracted feature information of the user network traffic with the feature information of the network traffic stored in the preset user tag feature library, and is used as the user preference feature tag corresponding to the feature information of the user network traffic; the feature information of the network traffic stored in the preset user tag feature library may include: the information matched with the feature information extracted by the deep packet inspection and/or the information matched with the feature information extracted by the deep stream inspection are/is not limited in the content of the feature information of the network flow stored in the preset user tag feature library.

And S206, forming a user label list according to the user preference feature labels.

Optionally, when the number of the acquired user preference feature labels is less than or equal to a predetermined number, the acquired user preference feature labels may be grouped into a user label list; when the number of the obtained user preference feature tags is larger than the preset number, the weights of the user preference feature tags can be determined according to the statistical information of the network traffic of the obtained user preference feature tags, and the preset number of the user preference feature tags are selected to form a user tag list according to the weights of the user preference feature tags. For example: the statistical information of the network traffic may include the size and duration of the network traffic, a larger weight may be set for the user preference feature tags corresponding to the network traffic with a larger network traffic and a longer duration, a smaller weight may be set for the user preference feature tags corresponding to the network traffic with a smaller network traffic and a shorter duration, and a predetermined number of user preference feature tags with a larger weight may be selected according to the weight of the user preference feature tags to form a user tag list.

Fig. 3 is a schematic flowchart of an implementation manner of constructing a preset user tag feature library according to an embodiment of the present invention, where the method shown in fig. 3 is used to construct the preset user feature tag library before network traffic information of a plurality of users in a preset time period is obtained, and as shown in fig. 3, the method at least includes:

s302, obtaining the network flow of the service test, carrying out deep detection processing on the network flow of the service test, and extracting the characteristic information of the network flow of the service test.

Alternatively, the service test may be performed at the client, for example, the security application program is used to perform the service test at the mobile phone, network traffic generated by the service test is acquired, and the feature information of the application program performing the service test or the core traffic generated by the service is extracted by performing deep detection processing on the network traffic, for example, performing deep packet detection processing and/or deep stream detection processing on the network traffic. Because the network traffic generated by the main stream application program and the main stream service in the network traffic occupies a larger proportion, the service test can be performed by traversing the main stream application program and the main stream service, and the characteristic information of the core traffic of the main stream application program and the main stream service is extracted to construct the preset user characteristic tag library, so that the constructed preset user characteristic tag library can meet the requirement on network traffic identification.

S304, determining a label corresponding to the characteristic information of the network flow of the service test according to the type of the application program corresponding to the service test.

Optionally, the label of the application program or the service performing the service test may be determined according to the type of the application program performing the service test, and the determined label is used as a label of the feature information of the core traffic generated by the corresponding application program or the service performing the service test. For example, if the type of the application program performing the service test is a live broadcast website, determining that the label of the feature information of the core traffic generated by the application program performing the service test or the service is a live broadcast preference; and if the type of the application program for performing the service test is a military plate of the website, determining that the label of the characteristic information of the core flow generated by the application program for performing the service test or the service is military preference.

And S306, constructing a preset user label feature library according to the corresponding relation between the feature information and the label.

Optionally, a preset user tag feature library may be constructed according to a corresponding relationship between feature information of core traffic of the mainstream application program and the mainstream service and a tag determined according to the type of the application program, and after the preset user tag feature library is constructed, the preset user tag feature library needs to be maintained regularly according to the mainstream application program and the mainstream service, so that a corresponding relationship between the feature information of a new mainstream application program or the mainstream service and the tag may be timely included in the preset user tag feature library, and accuracy of the preset user tag feature library in identifying network traffic is ensured.

Fig. 4 is a schematic flowchart of another implementation manner of a method for pushing notification sound in a video mode according to an embodiment of the present invention, where the method shown in fig. 4 is similar to the method in fig. 1, and for operations in the method shown in fig. 4 that are the same as those in fig. 1, reference may be made to the relevant description in fig. 1, so that no description is provided here, and only differences in the method shown in fig. 4 from those in fig. 1 are described below, and as shown in fig. 4, the method at least includes:

s402, network traffic information of a plurality of users in a preset time period is obtained, and a plurality of user label lists formed by user favorite feature labels corresponding to the network traffic information of the plurality of users are obtained according to a preset user label feature library.

S404, obtaining the user information of a plurality of users, obtaining the user characteristic labels of the plurality of users according to the user information, and adding the user characteristic labels of the plurality of users into the corresponding user label list.

In the embodiment of the present invention, after a plurality of user tag lists including user favorite feature tags are obtained according to network traffic information of a plurality of users within a preset time period, user feature tags of the plurality of users may also be obtained according to the user information of the plurality of users, and the obtained user feature tags of the plurality of users are added to the corresponding user tag lists. Optionally, the user information may include basic information of the user, such as gender, age, number attribution, identity attribute, and the like; or, the User information may include, in addition to the basic information of the User, service subscription information of the User, for example, Average income Per User (ARPU), traffic service, communication service, terminal model, and the like; the embodiment of the invention does not limit the content of the user information. Optionally, the basic information of multiple users may be obtained from a user database, for example, the user information of multiple users may be obtained from a user database in a Business & Operation Support System (BOSS for short), and the implementation manner of obtaining the user information is not limited in the embodiment of the present invention.

In the embodiment of the present invention, after the user information of the plurality of users is obtained, for each user in the plurality of users, a corresponding user feature tag may be obtained according to the user information of the user, and the obtained user feature tag may be added to the user tag list of the user. Optionally, the corresponding user feature tag may be obtained according to the user information of the user through methods such as machine learning, for example, feature extraction processing is performed on the user information through a neural network to obtain the corresponding user feature tag. In some optional examples, as shown in table 2, the classification of the tags of the user and the data source corresponding to each type of tag when implementing the video push method for notification audio are listed in table 2, and as can be seen from table 2, in this embodiment, the user preference feature tag and the user feature tag obtained according to the basic information of the user are used as the basic attribute class tag of the user, and the gender tag, the age interval tag, the number attribution tag, the identity attribute tag, the lifestyle class tag, the consumer brand class tag, and the hobby class tag of the user are used as the subclass of the basic attribute class tag; meanwhile, a user characteristic label obtained according to the service ordering information of the user is used as a consuming capability label of the user, and an ARPU label, a flow service label, a communication service label and a terminal model label of the user are used as subclasses of the consuming capability label; however, the present invention is not limited thereto.

TABLE 2

In this embodiment, each of the lifestyle type tag, the consumption brand type tag, and the interest type tag of the user may further include multiple types of tags, that is, tags having sub-categories, as shown in table 3, and sub-categories of the interest type tag of the user are listed in table 3, but the embodiment of the present invention is not limited thereto.

TABLE 3

Automobile fan	Unmanned plane	Sports camera hobbies	Military hobby	Masson hobbies
					Live broadcast hobbies	Food and drink	Concern about health	Science and technology information hobbies	TV drama hobbies
Photographic preferences	Lottery game	Online shopping hobbies	Karaoke love	All-purpose entertainment hobby
					Self-timer party	Travel hobby	Movie hobby	Listening to book FM hobby
News hobby	IntelligenceWearing	Reading hobbies	Short video hobbies
					Group buying privilege	Children dress	Musical hobby	Cartoon hobbies
Sea washing	Smart home	Paying attention to the property	Video hobbies

S406, acquiring a label combination set by the advertisement putting party for the target advertisement video, screening a plurality of user label lists according to the label combination, and forming a target user list of the target advertisement video by the users corresponding to the user label lists conforming to the label combination.

In the embodiment of the invention, because the user tag list comprises the user favorite feature tags and the user feature tags, when the advertisement putting party sets the tag combination on the target advertisement video, the tags corresponding to the user feature tags can be selected as the screening conditions of the user tag list to be added into the tag combination of the target advertisement video. Optionally, the tag selected by the advertising party and corresponding to the user feature tag may be a tag preset by the server and stored in the server.

Optionally, when the label combination set by the advertisement delivery party for the target advertisement video adopts a logic expression of the label, the logic expression of the label can be realized by performing logical operations such as and, or, and not on the selected label; for example: the logical operation and may indicate that the target user must satisfy all the characteristics of the tags participating in the and operation at the same time; the logical operation "or" may indicate that the target user only needs to satisfy one of the characteristics of the tags participating in the "or" operation; the logical operation "not" may indicate that the target user cannot satisfy the characteristics of the tags participating in the "not" operation; meanwhile, the logic expression of the tag can set priority for the logic operation in the logic expression through brackets, so that the logic operation in the brackets has higher priority, and the tag characteristics of the expression in the brackets need to be screened first, and then the tag characteristics of the expression outside the brackets need to be screened.

For example: if the logical expressions of the labels are "age ≧ 20" and "age < 25" and ("online shopping hobby" or "video hobby") and (not "lottery"), the logic for filtering by using the logical expressions of the labels is: and screening users with ages between 20 and 25, online shopping hobbies or video hobbies but no lottery hobbies as target users.

S408, under the condition that a preset notification sound is pushed to the target user in the target user list and the condition that the user called by the target user opens the video service of the notification sound is detected, pushing the target advertisement video to the target user.

Optionally, in the case that a preset notification sound is pushed to a target user in the target user list, and it is detected that a user called by the target user opens a video service of the notification sound, if the target user simultaneously appears in the target user list of a plurality of target advertisement videos, the target advertisement videos in the advertisement video list may be combined into one advertisement video list, and the target advertisement videos in the advertisement video list are carousel.

Fig. 5 is a schematic flowchart of an implementation manner of pushing a target advertisement video to a target user according to an embodiment of the present invention, in the method shown in fig. 5, the target user is a calling user initiating an audio call, and a called user of the audio call, which is also referred to as a user called the audio call, and as shown in fig. 5, the method at least includes:

s502, receiving an audio call initiated by a target user, and detecting whether the audio-called user is in a non-idle state.

Alternatively, the audio call initiated by the target user may be a telephone of a user who is called by audio, and the like, which is not limited by the implementation of the present invention.

If the called user is in the non-idle state, executing S504; otherwise, S512 is executed.

S504, acquiring a preset notification sound according to the non-idle state.

Optionally, the non-idle state of the user called by the audio may include: the called party is off, the called party is busy, the called party is unreachable, the called party is off, the called party is owing to charge and off, the called party is a blank number, and the like.

Optionally, a preset notification sound corresponding to each non-idle state and notifying the target user of the current state of the user called by the audio is stored in the server, and when it is detected that the user called by the audio is in the non-idle state, the preset notification sound corresponding to the non-idle state may be acquired from the server according to the non-idle state of the user called by the audio.

S506, whether the user called by the audio opens the video service of the notification sound is detected.

Optionally, the video service of the notification sound initiated by the user of the audio call may be included in the VOLTE video color ring service, that is, the video service of the notification sound may be a part of the VOLTE video color ring service, which is not limited in the embodiment of the present invention.

If the user called by the audio opens the video service of the notification sound, executing S508; otherwise, playing a preset notification sound to the target user.

And S508, acquiring the target advertisement video corresponding to the target user according to the target user list of the target advertisement video.

Optionally, a target user list of a target advertisement video updated at a preset time granularity is stored in the server, and when it is detected that a user called by an audio activates a video service of a notification sound, a target advertisement video corresponding to the target user list containing the target user can be acquired by detecting the target user list of the target advertisement video stored in the server; when it is detected that the user called by the audio does not open the video service of the notification sound, the preset notification sound acquired through S504 may be played to the target user when the user called by the audio rings.

And S510, playing the acquired target advertisement video to the target user under the condition that a preset notification sound is played to the target user.

Optionally, after the target advertisement video corresponding to the target user is obtained, when the user called by the audio rings, the preset notification sound obtained in S504 may be played to the target user, and the target advertisement video obtained in S508 may be played to the target user at the same time.

Optionally, the played target advertisement video is presented on an interactive interface of the target user, wherein the acquired target advertisement video is played to the target user in the specified video display area, and meanwhile, text information corresponding to the preset notification sound is played in a rolling manner in the bottom or top area of the target advertisement video, so as to perform text reminding on the state of the user called by the audio.

S512, whether the user called by the audio frequency carries out personalized customization on the video is detected.

Optionally, when it is detected that the user called by the audio is in an idle state in S502, it may be further detected whether the user called by the audio performs personalized customization on the video, where the personalized customized video may be a personalized video customized according to the VOLTE video color ring service, and this is not limited in the embodiment of the present invention.

If the user called by the audio frequency subscribes to the video, executing S514; otherwise, execution is started from S506.

And S514, playing the video which is customized by the user and called by the audio frequency to the target user under the condition that the preset notification sound is played to the target user.

Optionally, a video personalized to the user called by the audio call is stored in the server, when it is detected that the user called by the audio call performs personalized customization on the video, the video personalized to the user called by the audio call can be acquired from the server, and when the user called by the audio call rings, the video personalized to the user called by the audio call is played to the target user; when it is detected that the user called by the audio does not subscribe to the video in a personalized manner, the video service that detects whether the user called by the audio opens the notification sound from S506 is started, that is, when it is detected that the user called by the audio opens the video service of the notification sound, a target advertisement video corresponding to a target user list containing the target user can be obtained by detecting the target user list of the target advertisement video stored in the server, and when the user called by the audio rings, a preset notification sound corresponding to an idle state, for example, a preset notification reason of "beep" is played to the target user, and the target advertisement video obtained through S508 is played to the target user at the same time; when detecting that the user called by the audio does not open the video service of the notification sound, the method can only play the preset notification sound corresponding to the idle state to the target user when the user called by the audio rings.

Fig. 6 is a schematic flow diagram of a media negotiation process of a notification sound video push method according to an embodiment of the present invention, and as shown in fig. 6, a calling domain of the media negotiation of the notification sound video push method includes a calling user equipment UE1 and a service-type Call Session Control Function (S-CSCF), where the S-CSCF is a central node of an IMS (IP multimedia subsystem) core network, and is mainly used for registration, authentication Control, Session routing, service trigger Control of a user, and maintaining Session state information, and the like; the called domain of the media negotiation of the notification sound video pushing method comprises called user equipment UE2, AS and TAS of a color ring platform, and a Call Session Control Function (I/S-CSCF) of query type/service type, wherein the I-CSCF is a unified initial entry point of an IMS network and is responsible for the configuration and query of the S-CSCF registered by the user. The following describes in detail the media negotiation of the notification audio video pushing method with reference to the interactive signaling flow in fig. 6:

1. calling user equipment UE1 sends an initial request (INVITE) message, which is sent by the S-CSCF in the calling domain to the called domain, and after receiving the INVITE message, the I/S-CSCF in the called domain sends the INVITE message to the TAS.

2. The TAS returns 183 information when detecting that the called user equipment UE2 is in the power-off state, the 183 information is sent to the calling domain by the I/S-CSCF in the called domain, and the 183 information is sent to the calling user equipment UE1 after the S-CSCF in the calling domain receives the 183 information.

3. The calling user equipment UE1 returns an acknowledgement (PRACK) message after receiving the 183 message, the PRACK message is sent to the called domain by the S-CSCF in the calling domain, and the PRACK message is sent to the TAS after the I/S-CSCF in the called domain receives the PRACK message.

4. After receiving the PRACK message, the TAS returns a 200OK message, the 200OK message is sent to the calling domain by the I/S-CSCF in the called domain, and after receiving the 200OK message, the S-CSCF in the calling domain sends the 200OK message to the calling user equipment UE1, completing the audio media negotiation of the called user shutdown audio prompt tone.

5. When detecting that the called user equipment UE2 is powered off but opens the video service of the notification sound, the TAS sends a video request (INVITE) message of the notification sound to the polyphonic ringtone platform, where the INVITE message carries status information of the called user equipment UE2, and is used to identify audio status information, for example, that the power off is out-of-service.

6. And after receiving the INVITE message, the polyphonic ringtone platform returns a 200 message to the TAS, wherein the 200 message carries the visual SDP information of the notification sound.

7. After receiving the 200 message, the TAS sends an UPDATE (UPDATE) message to the calling domain, where the UPDATE message carries the videoized SDP information of the notification tone, and the UPDATE message is sent to the calling domain by the I/S-CSCF in the called domain, and after receiving the UPDATE message, the S-CSCF in the calling domain sends the UPDATE message to the calling user equipment UE 1.

8. After receiving the UPDATE message, the calling user equipment UE1 returns a 200 message according to its own status, where the 200 message is sent to the called domain by the S-CSCF in the calling domain, and after receiving the 200 message, the I/S-CSCF in the called domain sends the 200 message to the TAS, thereby completing the video media negotiation of the advertisement video.

9. After receiving the 200 message, the TAS returns a CAT message to the color ring platform.

10. The TAS, after receiving the 200 message, returns a 180 message to the calling domain. The 180 message carries the P-Early-Media identification, the 180 message is sent to the calling domain by the I/S-CSCF in the called domain, and after receiving the 180 message, the S-CSCF in the calling domain sends the 180 message to the calling user equipment UE 1.

11. After receiving the CAT message, the polyphonic ringtone platform selects an advertisement video corresponding to a target user list where the calling user equipment UE1 is located to play.

12. The calling user equipment UE1 goes on hook and sends out a terminate (CANCEL) message, which is sent by the S-CSCF in the calling domain to the called domain, and after the CANCEL message is received by the I/S-CSCF in the called domain, sends the CANCEL message to the TAS.

13. The TAS returns a 200OK message after receiving the CANCEL message, the 200OK message is sent to the calling domain by the I/S-CSCF in the called domain, and the S-CSCF in the calling domain sends the 200OK message to the calling user equipment UE1 after receiving the 200OK message.

14. And after receiving the CANCEL message, the TAS initiates a disconnection request (BYE) message to the polyphonic ringtone platform.

15. And after receiving the BYE message, the color ring platform stops playing the audio and video and returns a 200 message to the TAS.

Fig. 7 is a flowchart illustrating a further implementation manner of a method for pushing notification sound in a video, where the method shown in fig. 7 is similar to the method in fig. 1, and for the same operation as that in fig. 1 in the method shown in fig. 7, reference may be made to the related description in fig. 1, so that the description is not repeated here, and only the difference between the method shown in fig. 7 and that in fig. 1 is described below, as shown in fig. 7, the method at least includes:

s702, network traffic information of a plurality of users in a preset time period is obtained, and a plurality of user tag lists formed by user favorite feature tags corresponding to the network traffic information of the plurality of users are obtained according to a preset user tag feature library.

S704, acquiring a label combination set by an advertisement putting party for the target advertisement video, screening a plurality of user label lists according to the label combination, and forming a target user list of the target advertisement video by the users corresponding to the user label lists conforming to the label combination.

S706, under the condition that a preset notification sound is pushed to the target user in the target user list and the situation that the user called by the target user opens the video service of the notification sound is detected, pushing the target advertisement video to the target user.

S708, obtaining evaluation index information of the advertisement putting effect according to the pushing information of the target advertisement video; wherein the evaluation index comprises at least one of: the number of times of presenting the advertisement video, the presenting duration of the advertisement video, the member conversion rate of the advertisement video, the consumption conversion rate of the advertisement video and the return on investment of the advertisement video.

In the embodiment of the invention, after the target advertisement video is pushed to the target user, the evaluation index information of the advertisement putting effect can be obtained according to the pushing information of the target advertisement video, for example, the evaluation index information of the advertisement putting effect is obtained according to the polyphonic ringtone platform ticket. The evaluation index may include at least one of the number of times of presenting the advertisement video, the presentation duration of the advertisement video, the member conversion rate of the advertisement video, the consumption conversion rate of the advertisement video, and the return on investment rate of the advertisement video.

Alternatively, the information of the number of times of presentation of the target advertisement video may be obtained by counting the number of times of presentation of the target advertisement video, for example, the number of times of presentation of the flow 11 may be counted according to the flow in fig. 4 to obtain the number of times of presentation of the target advertisement video, where the classification statistics may be performed according to the target advertisement video; alternatively, the presentation duration information of the target advertisement video may be obtained by counting an average value of the durations of the presentation of the target advertisement video, for example, the average playing duration of the target advertisement video may be obtained by counting the time length T between the processes 11 to 14 according to the process in fig. 4, where the average playing duration of the target advertisement video may be classified and counted according to the target advertisement video; optionally, the member conversion rate of the target advertisement video may be determined according to the number of target users pushed by the target advertisement video by acquiring the member information of the advertisement delivering party, for example, the member data uploaded by the advertisement delivering party may be acquired through an interactive interface, and the number of members converted by advertisement delivery and the conversion rate may be calculated by performing intersection on the member data and the user data of the target advertisement video pushed by the advertisement delivering party; optionally, the consumption conversion rate of the target advertisement video may be determined according to the number of target users pushed by the target advertisement video by acquiring consumption user information of the advertisement delivering party, for example, consumption user data uploaded by the advertisement delivering party may be acquired through an interactive interface, and the actual consumption ratio converted by advertisement delivery may be calculated according to intersection of the consumption user data and the user data of the target advertisement video pushed by the advertisement delivering party; alternatively, the return on investment of the target advertisement video may be determined by obtaining the information of the consuming users of the advertisement delivering party, according to the number of the target users pushed by the target advertisement video and the cost of delivering the target advertisement video, for example, the data of the consuming users uploaded by the advertisement delivering party may be obtained through an interactive interface to a system, and the data of the consuming users and the data of the users of the target advertisement video of the advertisement delivering party are intersected to calculate the economic benefit generated by advertisement delivering, so as to obtain the return on investment of advertisement delivering.

Optionally, after obtaining the evaluation index information of the advertisement putting effect according to the pushing information of the target advertisement video, the advertisement putting party may adjust the strategy of the target advertisement video putting according to the evaluation index information of the advertisement putting effect, so that the advertisement putting can obtain a better putting effect, for example, adjust a tag in a tag combination set for the target advertisement video, and the like.

In some optional examples, to avoid disclosure of user information, an advertisement delivery party may be required to encrypt uploaded user information according to a certain rule; thereby obtaining the encrypted user information of the advertisement putting party and carrying out decryption processing on the encrypted user information; and determining evaluation index information of the advertisement putting effect according to the decrypted user information and the pushing information of the target advertisement video. Meanwhile, in the process of evaluating the advertisement putting effect, the user information uploaded by the advertisement putting party flows in one way, only the statistical data of the evaluation index information is presented, and detailed data is not provided, so that the risk of user information leakage can be further avoided.

According to the method, by acquiring the information of advertisement video pushing in the process of informing voice videography, indexes such as the number of times of advertisement video presentation, the presentation duration, the conversion rate, the return on investment rate and the like can be evaluated, a closed loop of advertisement video content management, accurate pushing and effect evaluation is formed, and the quantitative evaluation requirement of an advertisement putting party on the advertisement putting effect can be met.

Based on the same technical concept, corresponding to the methods described in fig. 1 to fig. 7, an embodiment of the present invention further provides a notification sound visualization pushing apparatus, and fig. 8 is a schematic structural diagram of the notification sound visualization pushing apparatus according to the embodiment of the present invention, where the notification sound visualization pushing apparatus can be used to execute the notification sound visualization pushing method described in fig. 1 to fig. 7, and as shown in fig. 8, the notification sound visualization pushing apparatus at least includes: the system comprises a tag obtaining module 810, a user screening module 820 and a video pushing module 830, wherein the tag obtaining module 810, the user screening module 820 and the video pushing module 830 are connected in sequence.

The tag obtaining module 810 is configured to obtain network traffic information of multiple users in a preset time period, and obtain, according to a preset user tag feature library, multiple user tag lists formed by user preference feature tags corresponding to the network traffic information of the multiple users.

And the user screening module 820 is configured to obtain a tag combination set by an advertisement delivery party for the target advertisement video, perform screening processing on a plurality of user tag lists according to the tag combination, and form a target user list of the target advertisement video by users corresponding to the user tag lists conforming to the tag combination.

The video pushing module 830 is configured to push a target advertisement video to a target user when a preset notification sound is pushed to the target user in the target user list and it is detected that a user called by the target user opens a video service of the notification sound.

According to the video pushing device for the notification sound, provided by the embodiment of the invention, a plurality of user tag lists consisting of user favorite feature tags corresponding to network traffic information of a plurality of users are obtained according to a preset user tag feature library by obtaining the network traffic information of the plurality of users in a preset time period; acquiring a label combination set by an advertisement putting party for a target advertisement video, screening a plurality of user label lists according to the label combination, and forming a target user list of the target advertisement video by users corresponding to the user label lists conforming to the label combination; under the condition that a preset notification sound is pushed to a target user in a target user list and the situation that a user called by the target user opens a video service of the notification sound is detected, pushing a target advertisement video to the target user; the method comprises the steps of obtaining favorite feature labels of users by detecting network access flow of the users, screening the favorite feature labels of the users by using label combinations set by an advertisement putting party according to characteristics of products in advertisement videos, screening out users corresponding to the favorite feature labels according with the set label combinations, serving as target users of advertisement video pushing, pushing advertisement videos to the screened target users during notification audio visualization, carrying out personalized advertisement video pushing aiming at contents currently concerned by the users, achieving accurate pushing of the advertisement videos, effectively improving the recognition degree of the users, improving the presentation duration and conversion rate of the advertisement videos and meeting the requirements of the advertisement putting party.

Optionally, the tag obtaining module 810 is configured to obtain a network traffic of each of the multiple users in a preset time period, perform deep detection processing on the network traffic, and extract feature information of the network traffic; acquiring a user favorite feature tag corresponding to feature information from a preset user tag feature library according to the feature information of the network traffic; the user tag list of each user will be composed according to the user preference feature tags of each user.

Optionally, the tag obtaining module 810 is further configured to determine a weight of the user preference feature tag according to the statistical information of the network traffic of the user preference feature tag obtained by each user; and selecting a preset number of user preference feature labels to form a user label list of each user according to the weight of the user preference feature labels.

Optionally, as shown in fig. 9, the notification sound visualization pushing device further includes: the user tag feature library 840 is used for acquiring the network traffic of the service test, performing deep detection processing on the network traffic of the service test, and extracting feature information of the network traffic of the service test; determining a label corresponding to the characteristic information of the network flow of the service test according to the type of the application program corresponding to the service test; and constructing a preset user label feature library according to the corresponding relation between the feature information and the label.

Optionally, the video pushing module 830 is configured to receive an audio call initiated by a target user, and detect whether a user called by the audio call is in a non-idle state; if the user called by the audio frequency is in a non-idle state, acquiring a preset notification sound according to the non-idle state; detecting whether a user called by audio opens a video service of notification sound; if the user called by the audio opens the video service of the notification sound, acquiring a target advertisement video corresponding to the target user according to a target user list of the target advertisement video; and under the condition that the preset notification sound is played for the target user, playing the acquired target advertisement video for the target user.

Optionally, as shown in fig. 10, the notification sound visualization pushing device further includes: the advertisement evaluation module 850 is used for acquiring evaluation index information of advertisement putting effect according to the pushing information of the target advertisement video; wherein the evaluation index comprises at least one of: the number of times of presenting the advertisement video, the presenting duration of the advertisement video, the member conversion rate of the advertisement video, the consumption conversion rate of the advertisement video and the return on investment of the advertisement video.

Optionally, the advertisement evaluation module 850 is configured to obtain encrypted user information of the advertisement delivery party, and decrypt the encrypted user information; and determining evaluation index information of the advertisement putting effect according to the decrypted user information and the pushing information of the target advertisement video.

Based on the same technical concept, corresponding to the methods described in fig. 1 to fig. 7, an embodiment of the present invention further provides an electronic device, which is configured to execute the method for pushing notification sound in a video manner described in fig. 1 to fig. 7, and fig. 11 is a schematic structural diagram of the electronic device according to the embodiment of the present invention, as shown in fig. 11. Electronic devices may vary widely in configuration or performance and may include one or more processors 1101 and memory 1102, where the memory 1102 may have one or more stored applications or data stored therein. Wherein memory 1102 may be transient or persistent. The application program stored in memory 1102 may include one or more modules (not shown), each of which may include a series of computer-executable instructions for a computing device. Still further, the processor 1101 may be arranged in communication with the memory 1102 to execute a series of computer executable instructions in the memory 1102 on a computer device. The computer apparatus may also include one or more power supplies 1103, one or more wired or wireless network interfaces 1104, one or more input-output interfaces 1105, one or more keyboards 1106.

In this embodiment, an electronic device may include a processor, a communication interface, a memory, and a communication bus; the processor, the communication interface and the memory complete mutual communication through a bus; a memory for storing a computer program; a processor for executing the program stored in the memory, implementing the method of:

According to the electronic equipment provided by the embodiment of the invention, a plurality of user label lists formed by a plurality of users and user favorite feature labels corresponding to network traffic information are obtained according to a preset user label feature library by obtaining the network traffic information of the plurality of users in a preset time period; acquiring a label combination set by an advertisement putting party for a target advertisement video, screening a plurality of user label lists according to the label combination, and forming a target user list of the target advertisement video by users corresponding to the user label lists conforming to the label combination; under the condition that a preset notification sound is pushed to a target user in a target user list and the situation that a user called by the target user opens a video service of the notification sound is detected, pushing a target advertisement video to the target user; the method comprises the steps of obtaining favorite feature labels of users by detecting network access flow of the users, screening the favorite feature labels of the users by using label combinations set by an advertisement putting party according to characteristics of products in advertisement videos, screening out users corresponding to the favorite feature labels according with the set label combinations, serving as target users of advertisement video pushing, pushing advertisement videos to the screened target users during notification audio visualization, carrying out personalized advertisement video pushing aiming at contents currently concerned by the users, achieving accurate pushing of the advertisement videos, effectively improving the recognition degree of the users, improving the presentation duration and conversion rate of the advertisement videos and meeting the requirements of the advertisement putting party.

The electronic device provided by the embodiment of the invention can realize each process in the embodiment corresponding to the video pushing method of the notification sound, and is not repeated here in order to avoid repetition.

It should be noted that the electronic device provided in the embodiment of the present invention and the method for pushing the notification sound in the video mode provided in the embodiment of the present invention are based on the same inventive concept, and therefore, for specific implementation of the embodiment, reference may be made to implementation of the method for pushing the notification sound in the video mode, and repeated details are not described here.

Based on the same technical concept, embodiments of the present invention further provide a computer-readable storage medium storing a computer program, where the computer program is executed by a processor to implement the following methods:

The computer-readable storage medium provided by the embodiment of the invention acquires a plurality of user tag lists formed by user favorite feature tags corresponding to network traffic information of a plurality of users according to a preset user tag feature library by acquiring the network traffic information of the plurality of users within a preset time period; acquiring a label combination set by an advertisement putting party for a target advertisement video, screening a plurality of user label lists according to the label combination, and forming a target user list of the target advertisement video by users corresponding to the user label lists conforming to the label combination; under the condition that a preset notification sound is pushed to a target user in a target user list and the situation that a user called by the target user opens a video service of the notification sound is detected, pushing a target advertisement video to the target user; the method comprises the steps of obtaining favorite feature labels of users by detecting network access flow of the users, screening the favorite feature labels of the users by using label combinations set by an advertisement putting party according to characteristics of products in advertisement videos, screening out users corresponding to the favorite feature labels according with the set label combinations, serving as target users of advertisement video pushing, pushing advertisement videos to the screened target users during notification audio visualization, carrying out personalized advertisement video pushing aiming at contents currently concerned by the users, achieving accurate pushing of the advertisement videos, effectively improving the recognition degree of the users, improving the presentation duration and conversion rate of the advertisement videos and meeting the requirements of the advertisement putting party.

The computer-readable storage medium provided in the embodiment of the present invention can implement each process in the embodiment corresponding to the above-mentioned notification audio video-based push method, and is not described herein again in order to avoid repetition.

It should be noted that the computer-readable storage medium provided in the embodiment of the present invention and the video push method provided in the embodiment of the present invention are based on the same inventive concept, and therefore, for specific implementation of the embodiment, reference may be made to implementation of the video push method, and repeated details are not described again.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.

The above are merely examples of the present invention, and are not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for video-based pushing of notification sounds, comprising:

2. The method of claim 1, wherein the obtaining network traffic information of a plurality of users within a preset time period and obtaining a plurality of user tag lists of the plurality of users, the user tag lists being composed of user preference feature tags corresponding to the network traffic information, according to a preset user tag feature library comprises:

acquiring the network traffic of each user in the plurality of users within the preset time period, performing deep detection processing on the network traffic, and extracting the characteristic information of the network traffic;

according to the feature information of the network flow, acquiring a user favorite feature tag corresponding to the feature information from the preset user tag feature library;

and forming the user label list of each user according to the user preference feature labels of each user.

3. The method of claim 2, wherein said forming said user tag list for each user according to said user preference feature tags for each user comprises:

determining the weight of the user preference feature tag according to the statistical information of the network traffic of the user preference feature tag acquired by each user;

and selecting a preset number of user preference feature labels to form the user label list of each user according to the weight of the user preference feature labels.

4. The method of claim 3, wherein before obtaining the network traffic information of the plurality of users within the preset time period, the method further comprises:

acquiring network flow of a service test, performing deep detection processing on the network flow of the service test, and extracting characteristic information of the network flow of the service test;

determining a label corresponding to the characteristic information of the network flow of the service test according to the type of the application program corresponding to the service test;

and constructing the preset user label feature library according to the corresponding relation between the feature information and the label.

5. The method according to any one of claims 1 to 4, wherein in a case that a preset notification sound is pushed to a target user in the target user list and it is detected that a user called by the target user opens a video service of the notification sound, pushing the target advertisement video to the target user comprises:

receiving an audio call initiated by the target user, and detecting whether the user called by the audio call is in a non-idle state;

if the user called by the audio frequency is in a non-idle state, acquiring the preset notification sound according to the non-idle state;

detecting whether a user called by the audio frequency opens a video service of the notification sound;

if the user called by the audio opens the video service of the notification sound, acquiring a target advertisement video corresponding to the target user according to a target user list of the target advertisement video;

and under the condition that the preset notification sound is played for the target user, playing the acquired target advertisement video for the target user.

6. The method of claim 5, wherein after the pushing the targeted advertisement video to the targeted user, further comprising:

obtaining evaluation index information of the advertisement putting effect according to the pushing information of the target advertisement video;

wherein the evaluation index comprises at least one of: the number of times of presenting the advertisement video, the presenting duration of the advertisement video, the member conversion rate of the advertisement video, the consumption conversion rate of the advertisement video and the return on investment of the advertisement video.

7. The method according to claim 6, wherein the obtaining of the evaluation index information of the advertisement putting effect according to the push information of the target advertisement video comprises:

acquiring the encrypted user information of the advertisement putting party, and decrypting the encrypted user information;

and determining evaluation index information of the advertisement putting effect according to the decrypted user information and the pushing information of the target advertisement video.

8. A notification sound video push apparatus, comprising:

9. An electronic device comprising a processor, a communication interface, a memory, and a communication bus; the processor, the communication interface and the memory complete mutual communication through a bus; the memory is used for storing a computer program; the processor is used for executing the program stored in the memory to realize the video pushing method of the notification sound according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, implements the method for the videoed pushing of notification sounds according to any one of claims 1 to 7.