CN117173287A - Advertisement recommendation method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application discloses an advertisement recommendation method, an advertisement recommendation device, electronic equipment and a storage medium. The method comprises the following steps: acquiring text content information uploaded by a content creator, and determining candidate text content summary information corresponding to the text content information uploaded by the content creator; acquiring at least one candidate advertisement word information; under the condition that a user browses text content information uploaded by a content creator, determining target advertisement word information from candidate advertisement word information and determining target text content summary information from candidate text content summary information; and generating a target advertisement picture based on the target text content summary information and the target advertisement word information, and displaying the target advertisement picture in a page of the text content information. According to the technical scheme, the target text content summary information and the target advertisement word information are combined to generate the target advertisement picture, so that the advertisement picture has the characteristic of text content information, the association degree of the recommended advertisement and the browsing text is improved, and therefore user experience is improved.
Description
Technical Field
The present application relates to the field of image processing technologies, and in particular, to an advertisement recommendation method, an advertisement recommendation device, an electronic device, and a storage medium.
Background
With the development of internet technology, advertisement recommendation is increasingly applied to websites or mobile phone software.
In the existing advertisement recommendation technology, advertisement picture users provided by advertisers or preset are directly browsed and displayed in interfaces where text contents such as news, novel, science popularization articles and the like are located.
In the process of implementing the present application, the inventor finds that at least the following technical problems exist in the prior art: in the prior art, the problem of low association degree between the recommended advertisement picture and the text content browsed by the user exists.
Disclosure of Invention
The application provides an advertisement recommending method, an advertisement recommending device, electronic equipment and a storage medium, and aims to solve the problem that the relevancy between recommended advertisement pictures and text content browsed by a user is low.
According to an aspect of the present application, there is provided an advertisement recommendation method, including:
acquiring text content information uploaded by a content creator, and determining candidate text content summary information corresponding to the text content information uploaded by the content creator;
acquiring at least one candidate advertisement word information;
under the condition that a user browses text content information uploaded by a content creator, determining target advertisement word information from the candidate advertisement word information and determining target text content summary information from the candidate text content summary information;
and generating a target advertisement picture based on the target text content summary information and the target advertisement word information, and displaying the target advertisement picture in a page of the text content information.
According to another aspect of the present application, there is provided an advertisement recommendation apparatus including:
the candidate text content summary information determining module is used for acquiring text content information uploaded by a content creator and determining candidate text content summary information corresponding to the text content information uploaded by the content creator;
the candidate advertisement word information acquisition module is used for acquiring at least one candidate advertisement word information;
the target information determining module is used for determining target advertisement word information from the candidate advertisement word information and determining target text content summary information from the candidate text content summary information under the condition that a user browses text content information uploaded by a content creator;
and the target advertisement picture display module is used for generating a target advertisement picture based on the target text content summary information and the target advertisement word information and displaying the target advertisement picture in the page of the text content information.
According to another aspect of the present application, there is provided an electronic apparatus including:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the advertisement recommendation method according to any one of the embodiments of the present application.
According to another aspect of the present application, there is provided a computer readable storage medium storing computer instructions for causing a processor to implement the advertisement recommendation method according to any of the embodiments of the present application when executed.
According to the technical scheme, the target text content summary information and the target advertisement word information are combined to generate the target advertisement picture, so that the advertisement picture has the characteristic of text content information, the association degree of the recommended advertisement and the browsing text is improved, and therefore user experience is improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the application or to delineate the scope of the application. Other features of the present application will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of an application scenario of an advertisement recommendation method according to the present application;
FIG. 2 is a flow chart of an advertisement recommendation method according to a first embodiment of the present application;
FIG. 3 is a schematic diagram of an embedded advertisement picture according to a first embodiment of the present application;
FIG. 4 is a schematic diagram of a floating advertisement picture according to a first embodiment of the present application;
FIG. 5 is a flowchart of an advertisement recommendation method according to a second embodiment of the present application;
FIG. 6 is a flowchart of an advertisement recommendation method according to a third embodiment of the present application;
FIG. 7 is a schematic diagram of an advertisement recommendation device according to a fourth embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device implementing an advertisement recommendation method according to an embodiment of the present application.
Detailed Description
In order that those skilled in the art will better understand the present application, a technical solution in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The technical scheme of the application obtains, stores, uses, processes and the like the data, which all meet the relevant regulations of national laws and regulations.
Before describing a specific embodiment, the application scenario of the present application will be described in detail. The application is suitable for inserting the scenes of the advertisement pictures into the text type content browsed by the user. Fig. 1 is a schematic diagram of an application scenario of an advertisement recommendation method provided by the present application. The advertisement recommendation method may be performed by a data application service system, which may include, but is not limited to, a user behavior awareness service module, a content recommendation service module, a content feature extraction module, a content advertisement fusion service module, and an advertisement classification service module. Specifically, the user behavior perception service module is used for collecting basic information and user behavior data of a user, and generating user characteristics according to the collected basic information and user behavior data of the user. The content recommendation service module is used for recommending text content to the user according to the matching degree of the user characteristics and the text content. The content feature extraction service module is used for extracting features of text content information uploaded by a content creator to obtain text content summary information, and storing the text content summary information into the content feature library. The advertisement classification service module is used for classifying advertisement words, extracting characteristics and the like, and storing the advertisement words after the operation into the picture advertisement characteristic library. The content advertisement fusion service module is used for adding the text content summary information and advertisement word fusion to the initial advertisement picture to obtain the target advertisement picture.
Example 1
Fig. 2 is a flowchart of an advertisement recommendation method according to an embodiment of the present application, where the method may be performed by an advertisement recommendation device, and the advertisement recommendation device may be implemented in hardware and/or software, and the advertisement recommendation device may be configured in an electronic device such as a server. As shown in fig. 2, the method includes:
s110, acquiring text content information uploaded by a content creator, and determining candidate text content summary information corresponding to the text content information uploaded by the content creator.
In this embodiment, the text content information refers to text type content, for example, the text content information may be text content such as news, novel, or articles. The candidate text content summary information refers to information capable of representing the summary of the text content information, for example, the text content information can be summarized by four to ten words, so as to obtain one or more candidate text content summary information.
For example, the content creator may upload the text content information to the server, and further perform feature extraction on the text content information to at least one candidate text content summary information through the server.
S120, obtaining at least one candidate advertisement word information.
The candidate advertisement word information refers to advertisement words to be selected, and the number of the candidate advertisement words can be one or more.
Specifically, the server may receive candidate advertisement word information uploaded by an advertiser through the terminal; the advertisement word ranked in the top N in the bid ordering result can be used as candidate advertisement word information, N is a pre-configured numerical value, and the advertisement word information can be set in a self-defined mode according to screening requirements.
And S130, under the condition that a user browses text content information uploaded by a content creator, determining target advertisement word information from the candidate advertisement word information and determining target text content summary information from the candidate text content summary information.
The target advertisement word information refers to advertisement words screened or matched from candidate advertisement word information, namely the advertisement words to be displayed. The target text content summary information refers to summary content screened or matched from candidate text content summary information, namely the summary content to be displayed.
It can be understood that in the case that the user browses the text content information uploaded by the content creator, the target advertisement word information and the target text content summary information suitable for being displayed in the browsed page can be obtained by automatically selecting the advertisement word and the text content summary information.
And S140, generating a target advertisement picture based on the target text content summary information and the target advertisement word information, and displaying the target advertisement picture in a page of the text content information.
The target advertisement picture is an advertisement picture combining text content summary information and advertisement words, in other words, the target advertisement picture has the characteristics of browsing text content by a user and advertisement word characteristics provided by an advertiser, so that the association degree of the advertisement picture and browsing text is improved, advertisement is not abrupt, and user experience is improved.
Optionally, generating the target advertisement picture based on the target text content summary information and the target advertisement word information includes: generating an advertisement on-line picture based on the target text content summary information; generating advertisement word downlink pictures based on the target advertisement word information; and respectively splicing the advertisement upper-link picture and the advertisement lower-link picture at two sides of the edge of the initial advertisement picture to obtain the target advertisement picture.
The advertisement on-line picture refers to a picture taking the target text content summary information as an on-line picture, and similarly, the advertisement off-line picture refers to a picture taking the target advertisement word information as an off-line picture.
Fig. 3 is a schematic diagram of an embedded advertisement picture according to the present embodiment. Specifically, the advertisement upper-link picture and the advertisement lower-link picture can be spliced at two sides of the edge of the initial advertisement picture respectively in a left-middle-right or up-middle-lower mode to obtain the target advertisement picture, so that the target advertisement picture does not shade the content of the initial advertisement picture, and text content summary information and advertisement words are added into the advertisement picture, thereby improving the association degree of the advertisement picture and browsing text.
Optionally, generating the target advertisement picture based on the target text content summary information and the target advertisement word information includes: and respectively suspending and displaying the target text content summary information and the target advertisement word information at the positions of two sides in the initial advertisement picture to obtain the target advertisement picture.
Fig. 4 is a schematic diagram of a floating advertisement picture according to the present embodiment. Specifically, the method can adopt a mode of left, middle, right, upper, middle and lower to display the target text content summary information and the target advertisement word information at two side positions in the initial advertisement picture in a floating mode respectively to obtain the target advertisement picture, so that the target advertisement picture keeps the original proportion.
According to the technical scheme, the target text content summary information and the target advertisement word information are combined to generate the target advertisement picture, so that the advertisement picture has the characteristic of text content information, the association degree of the recommended advertisement and the browsing text is improved, and therefore user experience is improved.
Example two
Fig. 5 is a flowchart of an advertisement recommendation method according to a second embodiment of the present application, where the method according to the present embodiment may be combined with each of the alternatives in the advertisement recommendation method provided in the foregoing embodiment. The advertisement recommendation method provided by the embodiment is further optimized. Optionally, the determining candidate text content summary information corresponding to the text content information uploaded by the content creator includes: extracting keywords from the text content information uploaded by the content creator to obtain a keyword set corresponding to the text content information uploaded by the content creator; and generating at least one candidate text content summary information based on the keyword set corresponding to the text content information uploaded by the content creator.
As shown in fig. 5, the method includes:
s210, acquiring text content information uploaded by a content creator.
And S220, extracting keywords from the text content information uploaded by the content creator to obtain a keyword set corresponding to the text content information uploaded by the content creator.
By way of example, keyword extraction can be performed on text content information uploaded by a content creator through a keyword extraction algorithm such as TF-IDF or TextRank, and a keyword set corresponding to the text content information uploaded by the content creator is obtained.
S230, generating at least one candidate text content summary information based on the keyword set corresponding to the text content information uploaded by the content creator.
In some alternative embodiments, each keyword in the keyword set may be input into a text content summary template to obtain candidate text content summary information. For example, each keyword in the keyword set may be "train", "plane" and "pizza", and the text content summary template is "sitting () to ()", and candidate text content summary information of "sitting train to pizza" and "sitting plane to pizza" may be obtained.
In some optional embodiments, connection processing may be performed on each keyword in the keyword set corresponding to the text content information uploaded by the content creator, so as to obtain at least one candidate text content summary information. For example, a pre-configured dictionary may be used to add a connective to each keyword in a keyword set corresponding to the text content information uploaded by the content creator, so as to obtain candidate text content summary information.
S240, acquiring at least one candidate advertisement word information.
S250, under the condition that a user browses text content information uploaded by a content creator, determining target advertisement word information from the candidate advertisement word information and determining target text content summary information from the candidate text content summary information.
And S260, generating a target advertisement picture based on the target text content summary information and the target advertisement word information, and displaying the target advertisement picture in a page of the text content information.
According to the technical scheme, the keyword extraction is carried out on the text content information uploaded by the content creator to obtain the keyword set corresponding to the text content information uploaded by the content creator, and then at least one candidate text content summary information is generated based on the keyword set corresponding to the text content information uploaded by the content creator, so that automatic summary of the text content is realized, and compared with the scheme of manually summarizing the text content, the text summary efficiency is improved.
Example III
Fig. 6 is a flowchart of an advertisement recommendation method according to a third embodiment of the present application, where the method according to the present embodiment may be combined with each of the alternatives in the advertisement recommendation method provided in the foregoing embodiment. The advertisement recommendation method provided by the embodiment is further optimized. Optionally, the determining target advertisement word information from the candidate advertisement word information and determining target text content summary information from the candidate text content summary information includes: acquiring the size information of the advertisement space picture; determining target advertisement word information matched with the advertisement space picture size information from the candidate advertisement word information; and determining target text content summary information matched with the advertisement space picture size information from the candidate text content summary information.
As shown in fig. 6, the method includes:
s310, acquiring text content information uploaded by a content creator, and determining candidate text content summary information corresponding to the text content information uploaded by the content creator.
S320, obtaining at least one candidate advertisement word information.
S330, under the condition that a user browses text content information uploaded by a content creator, acquiring advertisement space picture size information; determining target advertisement word information matched with the advertisement space picture size information from the candidate advertisement word information; and determining target text content summary information matched with the advertisement space picture size information from the candidate text content summary information.
The advertisement space picture size information is the size of a reserved space for advertisement pictures in the browsing interface. It can be understood that the advertisement words corresponding to the advertisement pictures with different sizes and the word numbers of the text content summary information are also different.
Specifically, according to the size of the advertisement bitmap piece, the advertisement word with the number of words matched with the size of the advertisement bitmap piece is determined from the candidate advertisement word information, and the target text content summary information with the number of words matched with the size of the advertisement bitmap piece is determined from the candidate text content summary information.
S340, generating a target advertisement picture based on the target text content summary information and the target advertisement word information, and displaying the target advertisement picture in a page of the text content information.
Optionally, after determining target advertisement word information matched with the advertisement spot picture size information from the candidate advertisement word information, the method further comprises: generating a voice law characteristic rule corresponding to the target advertisement word information; filtering the candidate text content summary information based on the phonetic rule feature rule corresponding to the target advertisement word information to obtain filtered candidate text content summary information; correspondingly, determining target text content summary information matched with the advertisement space picture size information from the candidate text content summary information, wherein the target text content summary information comprises: and determining target text content summary information matched with the advertisement position picture size information from the filtered candidate text content summary information.
The characteristic rule of the musical rhythm refers to a rule for screening candidate text content summary information with a specific musical rhythm.
Optionally, generating a phonetic feature rule corresponding to the target advertisement word information includes: performing word segmentation processing on the target advertisement word information to obtain a plurality of word segments of the target advertisement word information; determining the length of target advertisement word information, the word part of each word, the word length of each word, the final of the ending word of the target advertisement word information and the syllable of the ending word of the target advertisement word information; generating a voice law characteristic rule corresponding to the target advertisement word information based on one or more of the length of the target advertisement word information, the word part of speech of each word, the word length of each word, the final of the target advertisement word information ending character and the syllable of the target advertisement word information ending character.
For example, the target advertisement word information may be "i love beijing old city gate", and the word information of "i/love/beijing/old city gate" after word segmentation is shown in table 1. Further, the candidate text content summary information with the total length of 7, the lengths of each word segment of 1, 2 and 3, and the part of speech percentages of each word segment of noun, verb, noun and noun can be used as the phonetic feature rule. In some embodiments, the ending vowels and/or ending syllables may also be added to the rhythmic feature rules as weak constraints based on the rhythmic feature rules described above.
TABLE 1
Optionally, the rhythmic feature rule corresponding to the target advertisement word information includes one or more of the following: the candidate text content summary information and the target advertisement word information have the same length; the candidate text content summary information is the same as the word length of each word segmentation position of the target advertisement word information; the candidate text content summary information is the same as the word part of each word segmentation position of the target advertisement word information; the candidate text content summary information is the same as the final of the target advertisement word information; the candidate text content summary information is identical to the ending syllable of the targeted advertisement word information.
For example, the length of the candidate text content summary information which is the same as the target advertisement word information, the word length of each word segmentation position of the target advertisement word information, the word part of speech of each word segmentation position of the target advertisement word information, the ending vowel of the target advertisement word information and the ending syllable of the target advertisement word information can be reserved, and otherwise filtering is performed.
According to the technical scheme provided by the embodiment of the application, candidate text content summary information is filtered through the voice law characteristic rule corresponding to the target advertisement word information, so that the target text content summary information and the target advertisement word information are consistent in voice law, and the advertisement Lang Lang is provided, thereby deepening the impression of a user on the advertisement.
Example IV
Fig. 7 is a schematic structural diagram of an advertisement recommendation device according to a fourth embodiment of the present application. As shown in fig. 7, the apparatus includes:
a candidate text content summary information determining module 410, configured to obtain text content information uploaded by a content creator, and determine candidate text content summary information corresponding to the text content information uploaded by the content creator;
a candidate advertisement word information obtaining module 420, configured to obtain at least one candidate advertisement word information;
the target information determining module 430 is configured to determine target advertisement word information from the candidate advertisement word information and determine target text content summary information from the candidate text content summary information when the user browses the text content information uploaded by the content creator;
and a target advertisement picture display module 440 for generating a target advertisement picture based on the target text content summary information and the target advertisement word information, and displaying the target advertisement picture in the page of the text content information.
According to the technical scheme, the target text content summary information and the target advertisement word information are combined to generate the target advertisement picture, so that the advertisement picture has the characteristic of text content information, the association degree of the recommended advertisement and the browsing text is improved, and therefore user experience is improved.
In some alternative embodiments, the candidate text content summary information determination module 410 includes:
the keyword extraction unit is used for extracting keywords from the text content information uploaded by the content creator to obtain a keyword set corresponding to the text content information uploaded by the content creator;
and the text summarization unit is used for generating at least one candidate text content summarization information based on the keyword set corresponding to the text content information uploaded by the content creator.
In some alternative embodiments, the text summarization unit is specifically configured to:
and connecting each keyword in a keyword set corresponding to the text content information uploaded by the content creator to obtain at least one candidate text content summary information.
In some alternative embodiments, the target information determination module 430 includes:
the picture size information acquisition unit is used for acquiring the picture size information of the advertisement space;
the target advertisement word information matching unit is used for determining target advertisement word information matched with the advertisement space picture size information from the candidate advertisement word information;
and the target text content summary information matching unit is used for determining target text content summary information matched with the advertisement space picture size information from the candidate text content summary information.
In some alternative embodiments, the target information determination module 430 further includes:
a phoneme characteristic rule generating unit for generating a phoneme characteristic rule corresponding to the target advertisement word information;
the candidate text content summary information filtering unit is used for filtering the candidate text content summary information based on the voice law characteristic rule corresponding to the target advertisement word information to obtain filtered candidate text content summary information;
correspondingly, the target text content summary information matching unit is further configured to:
and determining target text content summary information matched with the advertisement space picture size information from the filtered candidate text content summary information.
In some alternative embodiments, the rhythm feature rule generating unit is specifically configured to:
performing word segmentation processing on the target advertisement word information to obtain a plurality of word segments of the target advertisement word information;
determining the length of target advertisement word information, the word part of each word, the word length of each word, the final of the ending word of the target advertisement word information and the syllable of the ending word of the target advertisement word information;
generating a phonetic feature rule corresponding to the target advertisement word information based on one or more of the length of the target advertisement word information, the word part of each word, the word length of each word, the final of the ending word of the target advertisement word information and the syllable of the ending word of the target advertisement word information.
In some optional embodiments, the rhythmic feature rule corresponding to the targeted advertising word information includes one or more of the following:
the candidate text content summary information is the same as the target advertisement word information in length;
the candidate text content summary information is the same as the word length of each word segmentation position of the target advertisement word information;
the candidate text content summary information is the same as the word part of speech of each word segmentation position of the target advertisement word information;
the candidate text content summary information is the same as the ending vowel of the target advertisement word information;
the candidate text content summary information is the same as the ending syllable of the target advertisement word information.
In some alternative embodiments, the targeted advertisement picture display module 440 is specifically configured to:
generating an advertisement on-line picture based on the target text content summary information;
generating advertisement downlink pictures based on the target advertisement word information;
and respectively splicing the advertisement upper-link picture and the advertisement lower-link picture at two sides of the edge of the initial advertisement picture to obtain a target advertisement picture.
In some alternative embodiments, the targeted advertisement picture display module 440 is specifically configured to:
and respectively suspending and displaying the target text content summary information and the target advertisement word information at two side positions in the initial advertisement picture to obtain a target advertisement picture.
The advertisement recommending device provided by the embodiment of the application can execute the advertisement recommending method provided by any embodiment of the application, and has the corresponding functional modules and beneficial effects of the executing method.
Example five
Fig. 8 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the 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. Electronic equipment may also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smartphones, wearable devices (e.g., helmets, eyeglasses, watches, etc.), 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 applications described and/or claimed herein.
As shown in fig. 8, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An I/O interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as an advertisement recommendation method, which includes:
acquiring text content information uploaded by a content creator, and determining candidate text content summary information corresponding to the text content information uploaded by the content creator;
acquiring at least one candidate advertisement word information;
under the condition that a user browses text content information uploaded by a content creator, determining target advertisement word information from the candidate advertisement word information and determining target text content summary information from the candidate text content summary information;
and generating a target advertisement picture based on the target text content summary information and the target advertisement word information, and displaying the target advertisement picture in a page of the text content information.
In some embodiments, the advertisement recommendation method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the advertisement recommendation method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the advertisement recommendation method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), 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.
A computer program for carrying out methods of the present application may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present application, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device 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 a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. 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), blockchain networks, and the internet.
The computing system may include clients and servers. 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. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
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, so long as the desired results of the technical solution of the present application are achieved, and the present application is not limited herein.
The above embodiments do not limit the scope of the present 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 should be included in the scope of the present application.
Claims (12)
1. An advertisement recommendation method, comprising:
acquiring text content information uploaded by a content creator, and determining candidate text content summary information corresponding to the text content information uploaded by the content creator;
acquiring at least one candidate advertisement word information;
under the condition that a user browses text content information uploaded by a content creator, determining target advertisement word information from the candidate advertisement word information and determining target text content summary information from the candidate text content summary information;
and generating a target advertisement picture based on the target text content summary information and the target advertisement word information, and displaying the target advertisement picture in a page of the text content information.
2. The method according to claim 1, wherein determining candidate text content summary information corresponding to the text content information uploaded by the content creator comprises:
extracting keywords from the text content information uploaded by the content creator to obtain a keyword set corresponding to the text content information uploaded by the content creator;
and generating at least one candidate text content summary information based on the keyword set corresponding to the text content information uploaded by the content creator.
3. The method according to claim 2, wherein the generating at least one candidate text content summary information based on the keyword set corresponding to the text content information uploaded by the content creator comprises:
and connecting each keyword in a keyword set corresponding to the text content information uploaded by the content creator to obtain at least one candidate text content summary information.
4. The method of claim 1, wherein the determining target advertisement word information from the candidate advertisement word information and determining target text content summary information from the candidate text content summary information comprises:
acquiring the size information of the advertisement space picture;
determining target advertisement word information matched with the advertisement space picture size information from the candidate advertisement word information;
and determining target text content summary information matched with the advertisement space picture size information from the candidate text content summary information.
5. The method of claim 4, wherein after said determining target advertisement word information matching said advertisement spot picture size information from among the candidate advertisement word information, said method further comprises:
generating a voice law characteristic rule corresponding to the target advertisement word information;
filtering the candidate text content summary information based on a voice law characteristic rule corresponding to the target advertisement word information to obtain filtered candidate text content summary information;
correspondingly, determining target text content summary information matched with the advertisement space picture size information from the candidate text content summary information, wherein the target text content summary information comprises:
and determining target text content summary information matched with the advertisement space picture size information from the filtered candidate text content summary information.
6. The method of claim 5, wherein generating the rhythmic feature rule corresponding to the target advertisement word information comprises:
performing word segmentation processing on the target advertisement word information to obtain a plurality of word segments of the target advertisement word information;
determining the length of target advertisement word information, the word part of each word, the word length of each word, the final of the ending word of the target advertisement word information and the syllable of the ending word of the target advertisement word information;
generating a phonetic feature rule corresponding to the target advertisement word information based on one or more of the length of the target advertisement word information, the word part of each word, the word length of each word, the final of the ending word of the target advertisement word information and the syllable of the ending word of the target advertisement word information.
7. The method of claim 5, wherein the rhythmic feature rule corresponding to the targeted advertising word information includes one or more of:
the candidate text content summary information is the same as the target advertisement word information in length;
the candidate text content summary information is the same as the word length of each word segmentation position of the target advertisement word information;
the candidate text content summary information is the same as the word part of speech of each word segmentation position of the target advertisement word information;
the candidate text content summary information is the same as the ending vowel of the target advertisement word information;
the candidate text content summary information is the same as the ending syllable of the target advertisement word information.
8. The method of claim 1, wherein the generating a targeted advertising picture based on the targeted text content summary information and the targeted advertising word information comprises:
generating an advertisement on-line picture based on the target text content summary information;
generating advertisement downlink pictures based on the target advertisement word information;
and respectively splicing the advertisement upper-link picture and the advertisement lower-link picture at two sides of the edge of the initial advertisement picture to obtain a target advertisement picture.
9. The method of claim 1, wherein the generating a targeted advertising picture based on the targeted text content summary information and the targeted advertising word information comprises:
and respectively suspending and displaying the target text content summary information and the target advertisement word information at two side positions in the initial advertisement picture to obtain a target advertisement picture.
10. An advertisement recommendation device, comprising:
the candidate text content summary information determining module is used for acquiring text content information uploaded by a content creator and determining candidate text content summary information corresponding to the text content information uploaded by the content creator;
the candidate advertisement word information acquisition module is used for acquiring at least one candidate advertisement word information;
the target information determining module is used for determining target advertisement word information from the candidate advertisement word information and determining target text content summary information from the candidate text content summary information under the condition that a user browses text content information uploaded by a content creator;
and the target advertisement picture display module is used for generating a target advertisement picture based on the target text content summary information and the target advertisement word information and displaying the target advertisement picture in the page of the text content information.
11. An electronic device, the electronic device comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the advertisement recommendation method of any one of claims 1-9.
12. A computer readable storage medium storing computer instructions for causing a processor to implement the advertisement recommendation method of any one of claims 1-9 when executed.
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| CN202311211843.1A CN117173287A (en) | 2023-09-19 | 2023-09-19 | Advertisement recommendation method and device, electronic equipment and storage medium |
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| CN202311211843.1A CN117173287A (en) | 2023-09-19 | 2023-09-19 | Advertisement recommendation method and device, electronic equipment and storage medium |
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