CN112446728B - Advertisement recall method, device, equipment and storage medium - Google Patents
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Abstract
The application discloses an advertisement recall method, an advertisement recall device, advertisement recall equipment and a storage medium, and relates to the technical field of video advertisement recall. The specific implementation scheme is as follows: receiving a triggering instruction of the terminal equipment to the video, and acquiring video description information of the video according to the triggering instruction; acquiring a recommended query term according to the video description information and the historical advertisement recall data; acquiring target advertisements related to the video from an advertisement library according to the recommended query language; and sending the target advertisement to the terminal equipment so as to display the target advertisement at the preset position of the video displayed by the terminal equipment. According to the embodiment of the application, more video related recommendation query terms can be obtained, more advertisements can be recalled relative to the triggering of advertisements based on video titles, and the advertisement filling rate is improved; because the recommended query language is richer and can describe the video more accurately relative to the video title, advertisements which are different and can excite the interests of users can be recalled based on the recommended query language, the click rate and conversion rate of the advertisements are improved, and the whole video flow rate rendering efficiency is improved.
Description
Technical Field
The application relates to the field of computer technology, in particular to the technical field of video advertisement recall.
Background
With the development of internet technology, more and more advertisements are put and released through a network. In the prior art, advertisement delivery is usually performed in a preset area of a video list page and a video detail page displayed on a screen of electronic equipment such as a mobile phone, a computer and the like.
In the prior art, a video title is generally used as a query intention (query) of a user to request an advertisement from an advertisement library, recall the advertisement, receive a target advertisement returned from the advertisement library, display the target advertisement in a preset area and display the target advertisement to the user.
Because the video titles are mostly longer, sometimes contain some special characters, the recall advertisements are limited, and the overall advertisement filling rate is low; meanwhile, the method can not excite more potential interests and intentions of users, so that the click rate of advertisements is low, the conversion rate of advertisements is low, and the video flow rendering capability is insufficient.
Disclosure of Invention
The application provides an advertisement recall method, an advertisement recall device, advertisement recall equipment and a storage medium, so that advertisements can be recalled more accurately, and the advertisement filling rate, the advertisement clicking rate and the advertisement conversion rate are improved.
The first aspect of the present application provides an advertisement recall method, including:
receiving a triggering instruction of terminal equipment on a video, and acquiring video description information of the video according to the triggering instruction;
acquiring a recommended query term according to the video description information and the historical advertisement recall data;
acquiring target advertisements related to the video from an advertisement library according to the recommended query language;
and sending the target advertisement to the terminal equipment so as to display the target advertisement at the preset position of the video displayed by the terminal equipment.
By the method, more video-related recommended query languages can be obtained, more advertisements can be recalled relative to the triggering of advertisements based on video titles, and the advertisement filling rate is remarkably improved; and because the recommended query language is richer and can describe the video more accurately relative to the video title, advertisements which are differentiated and can excite the interests of users can be recalled based on the recommended query language, so that the click rate and the conversion rate of the advertisements are improved, and the whole video flow rendering efficiency is remarkably improved.
Further, the video description information includes a video title and/or a video tag.
Further, if the video description information includes a video title, before the acquiring the recommended query, the method further includes:
and segmenting the video title, extracting keywords in the video title, and taking the keywords as the video description information.
Optionally, the obtaining the recommended query term according to the video description information and the historical advertisement recall data includes:
inquiring historical target advertisements which are recalled according to the same video description information according to the historical advertisement recall data;
acquiring a first historical query language for successfully recalling the historical target advertisement according to the historical advertisement recall data;
and acquiring the recommended query according to the first historical query.
By the method, more recommended query terms related to the video description terms of the current video can be obtained.
Optionally, the obtaining the recommended query term according to the video description information and the historical advertisement recall data includes:
obtaining the similarity of the video description information and each second historical query in a query set, wherein the query set is a set of second historical queries which are obtained from the historical advertisement recall data and meet the preset commercial value requirement;
and acquiring the recommended query according to a second historical query with similarity higher than a first preset threshold.
By the method, the video description information and the historical advertisement recall data can be combined, the query language with high commercial value is obtained to carry out advertisement recall, the uniform click price (ACP) of advertisements can be improved, and the overall video flow rate rendering efficiency is remarkably improved.
Further, after the recommended query is obtained, the method further includes:
and filtering and/or screening the recommended query language.
Further, the selecting the recommended query includes:
obtaining a commercial value score of each recommended query;
and screening at least one recommended query from the recommended query according to the commercial value score to serve as the recommended query finally used for advertisement recall.
By screening recommended query terms with high commercial value, the uniform click price (ACP) of advertisements can be further improved, and the overall video flow rendering efficiency is remarkably improved.
A second aspect of the present application provides an advertising recall device comprising:
the acquisition module is used for receiving a triggering instruction of the terminal equipment on the video and acquiring video description information of the video according to the triggering instruction;
the recommendation module is used for acquiring a recommendation query language according to the video description information and the historical advertisement recall data;
the recall module is used for obtaining target advertisements related to the video from an advertisement library according to the recommended query language to recall;
and the sending module is used for sending the target advertisement to the terminal equipment so as to display the target advertisement at the preset position of the video displayed by the terminal equipment.
A third aspect of the present application provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first aspect.
A fourth aspect of the present application provides a non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of the first aspect.
A fifth aspect of the present application provides a computer program comprising program code for performing the method of the first aspect when the computer program runs on a computer.
A sixth aspect of the present application provides an advertisement recall method, including:
acquiring a video related query;
acquiring target advertisements related to the video from an advertisement library according to the query language for recall;
and sending the target advertisement to a terminal device so as to display the target advertisement on the terminal device.
A seventh aspect of the present application provides a computer program product, the program product comprising: a computer program stored in a readable storage medium, from which it can be read by at least one processor of an electronic device, the at least one processor executing the computer program causing the electronic device to perform the method of the first aspect.
One embodiment of the above application has the following advantages or benefits: receiving a triggering instruction of terminal equipment on a video, and acquiring video description information of the video according to the triggering instruction; acquiring a recommended query term according to the video description information and the historical advertisement recall data; acquiring target advertisements related to the video from an advertisement library according to the recommended query language; and sending the target advertisement to the terminal equipment so as to display the target advertisement at the preset position of the video displayed by the terminal equipment. According to the embodiment of the application, more video-related recommended query terms can be obtained, more advertisements can be recalled compared with the method of triggering advertisements based on video titles, and the advertisement filling rate is remarkably improved; and because the recommended query language is richer and can describe the video more accurately relative to the video title, advertisements which are differentiated and can excite the interests of users can be recalled based on the recommended query language, so that the click rate and the conversion rate of the advertisements are improved, and the whole video flow rendering efficiency is remarkably improved.
Other effects of the above alternative will be described below in connection with specific embodiments.
Drawings
The drawings are for better understanding of the present solution and do not constitute a limitation of the present application. Wherein:
fig. 1 is a schematic diagram of a communication system provided in an embodiment of the present application;
FIG. 2 is a flow chart of an advertisement recall method provided by an embodiment of the present application;
fig. 3 is an interface schematic diagram of a terminal device for displaying a target advertisement according to an embodiment of the present application;
FIG. 4 is a flow chart of an advertising recall method provided in another embodiment of the present application;
FIG. 5 is a schematic diagram of a get recommendation query provided in accordance with FIG. 4;
FIG. 6 is a flow chart of an advertising recall method provided in another embodiment of the present application;
FIG. 7 is a schematic diagram of a get recommendation query provided in accordance with FIG. 6;
FIG. 8 is a schematic diagram of an advertising recall device provided in another embodiment of the present application;
fig. 9 is a block diagram of an electronic device of an advertising recall method of an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present application to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
The advertisement recall method provided in the embodiment of the present application applies a communication system as shown in fig. 1, where the communication system includes a terminal device 10, a server 11, and an advertisement library server 12, where the terminal device 10 includes various forms of computers, such as a laptop computer, a desktop computer, a workstation, a personal digital assistant, and the like, and may further include various forms of mobile devices, such as a cellular phone, a smart phone, a wearable device, and the like; the server 11 may be a single network server, a server group formed by a plurality of network servers, or a cloud server formed by a plurality of computers or network servers based on cloud computing; the advertisement library server 12 may be a single server, a server group composed of a plurality of servers, or a cloud server composed of a large number of computers or network servers based on cloud computing, and the advertisement library server 12 may be integrated in the server 11. In this embodiment of the present application, a user may trigger a certain video on the terminal device 10, and then send a trigger instruction for the video to the server 11, where the server 11 may send a recommendation query to the advertisement library server 12, and the advertisement library server 12 obtains a target advertisement according to the recommendation query and then sends the target advertisement to the server 11, and then the server 11 sends the target advertisement to the terminal device 10, where the terminal device 10 may display the received target advertisement at a preset position of the video.
An embodiment of the present application provides an advertisement recall method, and fig. 2 is a flowchart of the advertisement recall method provided by the embodiment of the present invention. The main implementation body of the advertisement recall method may be a server, as shown in fig. 2, and the advertisement recall method specifically includes the following steps:
s101, receiving a triggering instruction of a terminal device on a video, and acquiring video description information of the video according to the triggering instruction.
In this embodiment, a user may trigger a certain video on the terminal device, for example, search for the video, click to play, pause to play, etc., and the terminal device may send a trigger instruction for the video to the server, so that the server may obtain video description information of the video according to the trigger instruction for the video. Wherein the video description information may specifically comprise video titles and/or video tags. Wherein the video title and/or video tag may be derived from video information, wherein the video information is video information edited by a video provider, may include, but is not limited to, video titles and/or video tags, may also include video profiles, etc. Video tags may include, in particular, video content information, video titles, categories, and so forth. The server side can acquire the video description information from the terminal equipment, and can also acquire the video description information from other approaches such as a video library.
In an optional embodiment, if the video description information includes a video title, the video title may be further segmented, and keywords in the video title may be extracted, where the keywords are used as the video description information. In this embodiment, since the video title is generally longer and may include some special characters and may also include some non-key words, such as word of language, the method and the device in this embodiment can obtain the recommended query words more accurately and more abundantly by segmenting the video title and extracting the key words and using the key words as new video description information, increase the number of advertisement recalls and increase the filling rate of the whole advertisement.
S102, acquiring a recommended query term according to the video description information and the historical advertisement recall data.
In this embodiment, since the video description information is not ideal as the advertisement recall effect of the query directly, the recommended query (query) can be obtained according to the video description information and the historical advertisement recall data, the recommended query is related to the video description information, the query is expanded by the historical advertisement recall data, and then the expanded query is used for advertisement recall, so that the advertisement recall effect can be optimized.
S103, acquiring target advertisements related to the video from an advertisement library according to the recommended query language.
In this embodiment, advertisements may be requested from the advertisement library according to the recommended query, and targeted advertisements related to the recommended query may be obtained, thereby implementing advertisement recall.
And S104, the target advertisement is sent to the terminal equipment, so that the target advertisement is displayed at the preset position of the video displayed by the terminal equipment.
In this embodiment, the recalled target advertisement may be sent to the terminal device, and displayed at a preset position of the video displayed by the terminal device. Specifically, the target advertisement may be displayed in a video detail page, as shown in a terminal device interface in fig. 3, where the target advertisement is displayed below the video, or the target advertisement may also be displayed in a form of a patch advertisement (such as front, middle and rear patch advertisements) in the video, or displayed in a form of a pause advertisement, a floating layer advertisement, etc. in a preset position, and specific display positions and display forms are not described herein again.
According to the advertisement recall method provided by the embodiment, the triggering instruction of the terminal equipment on the video is received, and the video description information of the video is obtained according to the triggering instruction; acquiring a recommended query term according to the video description information and the historical advertisement recall data; acquiring target advertisements related to the video from an advertisement library according to the recommended query language; and sending the target advertisement to the terminal equipment so as to display the target advertisement at the preset position of the video displayed by the terminal equipment. According to the embodiment, more video-related recommended query languages can be obtained, more advertisements can be recalled compared with the method of triggering advertisements based on video titles, and the advertisement filling rate is remarkably improved; and because the recommended query language is richer and can describe the video more accurately relative to the video title, advertisements which are differentiated and can excite the interests of users can be recalled based on the recommended query language, so that the click rate and the conversion rate of the advertisements are improved, and the whole video flow rendering efficiency is remarkably improved.
In an alternative embodiment, as shown in fig. 4, the obtaining a recommended query according to the video description information and the historical advertisement recall data in the above embodiment S102 includes:
s201, inquiring historical target advertisements which are recalled according to the same video description information according to the historical advertisement recall data;
s202, acquiring a first historical query language for successfully recalling the historical target advertisement according to historical advertisement recall data;
s203, acquiring the recommended query according to the first historical query.
In this embodiment, a co-occurrence means is adopted to obtain a recommended query, for example, as shown in fig. 5, the video description of the current video is term1, and in the history advertisement recall data, there is a record that the same video description term1 is used as a query to recall advertisements, for example term1 has recalled advertisement adv1 and advertisement adv2 … …, and for advertisement adv1, there may be other query terms other than term1 that have succeeded in recalling advertisement adv1, and for advertisement adv2, there may be other query terms other than term1 that have been successful in recalling advertisement adv2 … … by other query terms other than term2, query2, and query3 … … as an extension to the present video query term, that is, as the recommended query term. By the method, more recommended query terms related to the video description terms of the current video can be obtained.
In another alternative embodiment, as shown in fig. 6, the obtaining the recommended query language according to the video description information and the historical advertisement recall data in the above embodiment S102 includes:
s301, obtaining similarity between the video description information and each second historical query in a query set;
wherein the collection of query terms is a collection of second historical query terms obtained from the historical advertising recall data that meet a predetermined commercial value requirement;
s302, acquiring the recommended query language according to a second historical query language with similarity higher than a first preset threshold.
In this embodiment, the query term set may be obtained in advance according to the historical advertisement recall data, and the second historical query term in the query term set may be a historical query term meeting a predetermined commercial value requirement, where the predetermined commercial value requirement may, for example, require that the second historical query term have a higher commercial value, such as a click rate higher than a preset click rate, or measure the commercial value of the second historical query term by other means.
Further, as shown in fig. 7, the embodiment may calculate the similarity between the video description information and each second historical query in the query set, that is, calculate the similarity between the video description information term2 and the second historical query4, query5, query6, … … in the query set, where the similarity may be specifically the cosine similarity of the word vector, and the specific similarity calculation process may use the existing calculation method, which is not described herein again. After the similarity between the video description information and each second historical query term is obtained, the similarity can be ranked, and one or more second historical query terms with higher similarity are selected to be used as the recommended query terms. In the embodiment, the video description information and the historical advertisement recall data can be combined, the query language with high commercial value is obtained to carry out advertisement recall, the uniform click price (ACP) of advertisements can be improved, and the whole video flow rate rendering efficiency is remarkably improved.
It should be noted that, for the above two optional embodiments, in this embodiment, at least one optional embodiment may be selected according to the requirement to obtain the recommended query, and when two optional embodiments are simultaneously selected, the recommended query obtained in the two embodiments may be combined together to be used as the recommended query.
On the basis of any one of the foregoing embodiments, after the acquiring the recommended query, the method may further include:
and filtering and/or screening the recommended query language.
In this embodiment, the recommended query terms may be filtered to remove some sensitive query terms, such as terrorist and yellow query terms; in addition, the recommended query terms may be screened to select one or more of the recommended query terms having higher commercial value as the final query term for advertisement recall.
Further, the selecting the recommended query language specifically includes:
obtaining a commercial value score of each recommended query; and screening at least one recommended query from the recommended query according to the commercial value score to serve as the recommended query finally used for advertisement recall.
In this embodiment, for the commercial value of the recommended query, click rate, frequency and other parameters may be used to measure, or multiple parameters may be used to comprehensively measure, so as to obtain a commercial value score, so as to screen the recommended query. In this embodiment, by screening the recommended query terms with high commercial value, the uniform click price (ACP) of the advertisement can be further improved, and the overall video flow rendering efficiency can be significantly improved.
An embodiment of the present application provides an advertisement recall device, and fig. 8 is a structural diagram of the advertisement recall device provided by the embodiment of the present invention. As shown in fig. 8, the advertisement recall apparatus 400 specifically includes: an acquisition module 401, a recommendation module 402, a recall module 403, and a transmission module 404.
An acquisition module 401, configured to receive a trigger instruction of a terminal device on a video, and acquire video description information of the video according to the trigger instruction;
a recommendation module 402, configured to obtain a recommendation query according to the video description information and the historical advertisement recall data;
a recall module 403, configured to obtain, from an advertisement library, a target advertisement related to the video according to the recommended query term for recall;
and the sending module 404 is configured to send the target advertisement to the terminal device, so that the target advertisement is displayed at a preset position of the video displayed by the terminal device.
On the basis of the above embodiment, the video description information includes a video title and/or a video tag.
On the basis of any one of the foregoing embodiments, if the video description information includes a video title, the obtaining module 401 is further configured to:
and segmenting the video title, extracting keywords in the video title, and taking the keywords as the video description information.
On the basis of any of the above embodiments, the recommendation module 402 is configured to:
inquiring historical target advertisements which are recalled according to the same video description information according to the historical advertisement recall data;
acquiring a first historical query language for successfully recalling the historical target advertisement according to the historical advertisement recall data;
and acquiring the recommended query according to the first historical query.
On the basis of any of the above embodiments, the recommendation module 402 is configured to:
obtaining the similarity of the video description information and each second historical query in a query set, wherein the query set is a set of second historical queries which are obtained from the historical advertisement recall data and meet the preset commercial value requirement;
and acquiring the recommended query according to a second historical query with similarity higher than a first preset threshold.
On the basis of any of the above embodiments, the recommendation module 402 is further configured to:
and after the recommended query language is obtained, filtering and/or screening the recommended query language.
On the basis of any one of the above embodiments, the recommendation module 402 is configured to, when screening the recommended query,:
obtaining a commercial value score of each recommended query;
and screening at least one recommended query from the recommended query according to the commercial value score to serve as the recommended query finally used for advertisement recall.
On the basis of any of the above embodiments, the recall module 403 is further configured to:
and displaying the recalled target advertisement at a preset position of the video.
The advertisement recall apparatus provided in this embodiment may be specifically used to execute the method embodiments provided in fig. 2, 4 and 6, and specific functions are not provided here.
According to the advertisement recall device provided by the embodiment, the triggering instruction of the terminal equipment on the video is received, and the video description information of the video is obtained according to the triggering instruction; acquiring a recommended query term according to the video description information and the historical advertisement recall data; acquiring target advertisements related to the video from an advertisement library according to the recommended query language; and sending the target advertisement to the terminal equipment so as to display the target advertisement at the preset position of the video displayed by the terminal equipment. According to the embodiment, more video-related recommended query languages can be obtained, more advertisements can be recalled compared with the method of triggering advertisements based on video titles, and the advertisement filling rate is remarkably improved; and because the recommended query language is richer and can describe the video more accurately relative to the video title, advertisements which are differentiated and can excite the interests of users can be recalled based on the recommended query language, so that the click rate and the conversion rate of the advertisements are improved, and the whole video flow rendering efficiency is remarkably improved.
According to embodiments of the present application, an electronic device and a readable storage medium are also provided.
As shown in fig. 9, a block diagram of an electronic device of an advertising recall method according to an embodiment of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the application described and/or claimed herein.
As shown in fig. 9, the electronic device includes: one or more processors 501, memory 502, and interfaces for connecting components, including high-speed interfaces and low-speed interfaces. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions executing within the electronic device, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display device coupled to the interface. In other embodiments, multiple processors and/or multiple buses may be used, if desired, along with multiple memories and multiple memories. Also, multiple electronic devices may be connected, each providing a portion of the necessary operations (e.g., as a server array, a set of blade servers, or a multiprocessor system). One processor 501 is illustrated in fig. 9.
Memory 502 is a non-transitory computer readable storage medium provided herein. Wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the advertisement recall method provided herein. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to perform the advertisement recall method provided by the present application.
The memory 502 is used as a non-transitory computer readable storage medium for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules (e.g., the acquisition module 401, the recommendation module 402, and the recall module 403 shown in fig. 8) corresponding to the advertisement recall method in the embodiments of the present application. The processor 501 executes various functional applications of the server and data processing by running non-transitory software programs, instructions, and modules stored in the memory 502, i.e., implements the advertisement recall method in the method embodiments described above.
Memory 502 may include a storage program area that may store an operating system, at least one application program required for functionality, and a storage data area; the storage data area may store data created from the use of the electronic device for advertisement recall, and the like. In addition, memory 502 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, memory 502 optionally includes memory remotely located with respect to processor 501, which may be connected to the electronic device for advertisement recall via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the advertisement recall method may further include: an input device 503 and an output device 504. The processor 501, memory 502, input devices 503 and output devices 504 may be connected by a bus or otherwise, for example in fig. 5.
The input device 503 may receive entered numeric or character information as well as generate key signal inputs related to user settings and function control of the electronic device for advertisement recall, such as a touch screen, keypad, mouse, trackpad, touchpad, pointer stick, one or more mouse buttons, track ball, joystick, and like input devices. The output devices 504 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device may be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASIC (application specific integrated circuit), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
These computing programs (also referred to as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
According to the technical scheme of the embodiment of the application, the video description information is acquired; acquiring a recommended query term according to the video description information and the historical advertisement recall data; and acquiring target advertisements related to the video from an advertisement library according to the recommended query language for recall. According to the embodiment, more video-related recommended query languages can be obtained, more advertisements can be recalled compared with the method of triggering advertisements based on video titles, and the advertisement filling rate is remarkably improved; and because the recommended query language is richer and can describe the video more accurately relative to the video title, advertisements which are differentiated and can excite the interests of users can be recalled based on the recommended query language, so that the click rate and the conversion rate of the advertisements are improved, and the whole video flow rendering efficiency is remarkably improved.
The present application also provides a computer program comprising program code to perform the advertisement recall method as described in the above embodiments when the computer program runs on a computer.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present application may be performed in parallel, sequentially, or in a different order, provided that the desired results of the technical solutions disclosed in the present application can be achieved, and are not limited herein.
The above embodiments do not limit the scope of the application. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application are intended to be included within the scope of the present application.
Claims (12)
1. An advertising recall method, comprising:
receiving a triggering instruction of terminal equipment on a video, and acquiring video description information of the video according to the triggering instruction; the video description information comprises a video title and/or a video tag;
acquiring a recommended query term according to the video description information and the historical advertisement recall data;
acquiring target advertisements related to the video from an advertisement library according to the recommended query language;
transmitting the target advertisement to the terminal equipment so as to display the target advertisement at a preset position of the video displayed by the terminal equipment;
the obtaining the recommended query language according to the video description information and the historical advertisement recall data comprises the following steps:
inquiring historical target advertisements which are recalled according to the same video description information according to the historical advertisement recall data;
acquiring a first historical query language for successfully recalling the historical target advertisement according to the historical advertisement recall data;
and acquiring the recommended query according to the first historical query.
2. The method of claim 1, further comprising, prior to the obtaining the recommendation query, if the video descriptive information includes a video title:
and segmenting the video title, extracting keywords in the video title, and taking the keywords as the video description information.
3. The method of claim 1, wherein the obtaining a recommended query based on the video description information and the historical advertising recall data comprises:
obtaining the similarity of the video description information and each second historical query in a query set, wherein the query set is a set of second historical queries which are obtained from the historical advertisement recall data and meet the preset commercial value requirement;
and acquiring the recommended query according to a second historical query with similarity higher than a first preset threshold.
4. A method according to any one of claims 1-3, wherein after obtaining the recommended query, further comprising:
and filtering and/or screening the recommended query language.
5. The method of claim 4, wherein screening the recommended query comprises:
obtaining a commercial value score of each recommended query;
and screening at least one recommended query from the recommended query according to the commercial value score to serve as the recommended query finally used for advertisement recall.
6. An advertising recall device, comprising:
the acquisition module is used for receiving a triggering instruction of the terminal equipment on the video and acquiring video description information of the video according to the triggering instruction; the video description information comprises a video title and/or a video tag;
the recommendation module is used for acquiring a recommendation query language according to the video description information and the historical advertisement recall data;
the recall module is used for acquiring target advertisements related to the video from an advertisement library according to the recommended query language;
a sending module, configured to send the target advertisement to the terminal device, so that the target advertisement is displayed at a preset position of the video displayed by the terminal device;
the recommendation module is used for:
inquiring historical target advertisements which are recalled according to the same video description information according to the historical advertisement recall data;
acquiring a first historical query language for successfully recalling the historical target advertisement according to the historical advertisement recall data;
and acquiring the recommended query according to the first historical query.
7. The apparatus of claim 6, wherein if the video description information includes a video title, the obtaining module is further configured to:
and segmenting the video title, extracting keywords in the video title, and taking the keywords as the video description information.
8. The apparatus of claim 6, wherein the recommendation module is to:
obtaining the similarity of the video description information and each second historical query in a query set, wherein the query set is a set of second historical queries which are obtained from the historical advertisement recall data and meet the preset commercial value requirement;
and acquiring the recommended query according to a second historical query with similarity higher than a first preset threshold.
9. The apparatus of any one of claims 6-8, wherein the recommendation module is further configured to:
and after the recommended query language is obtained, filtering and/or screening the recommended query language.
10. The apparatus of claim 9, wherein the recommendation module, when screening the recommended query, is to:
obtaining a commercial value score of each recommended query;
and screening at least one recommended query from the recommended query according to the commercial value score to serve as the recommended query finally used for advertisement recall.
11. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.
12. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-5.
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