CN112445968B - Information pushing method, device, equipment and computer readable storage medium - Google Patents

Information pushing method, device, equipment and computer readable storage medium Download PDF

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CN112445968B
CN112445968B CN201910827294.8A CN201910827294A CN112445968B CN 112445968 B CN112445968 B CN 112445968B CN 201910827294 A CN201910827294 A CN 201910827294A CN 112445968 B CN112445968 B CN 112445968B
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information
advertisement
search
search information
trained
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CN112445968A (en
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吕显赫
贺登武
黄飞
赵慎
张俊强
朱建新
朱瑞玮
韩聪
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Baidu China Co Ltd
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Baidu China Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0269—Targeted advertisements based on user profile or attribute
    • G06Q30/0271—Personalized advertisement

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Abstract

The application discloses an information pushing method, an information pushing device, information pushing equipment and a computer readable storage medium, and relates to an information pushing technology based on big data. The specific implementation scheme is as follows: receiving search information sent by terminal equipment, wherein the search information comprises entertainment search words and/or entertainment pictures; inputting search information into a preset first network model, determining advertisement keywords corresponding to the search words through the first network model, wherein the network model is obtained through training the search information marked by the advertisement keywords; acquiring advertisement information corresponding to the advertisement keywords according to the advertisement keywords; and sending the advertisement information to a terminal device, wherein the terminal device is used for displaying the advertisement information. Therefore, accurate pushing of advertisement information according to entertainment search information of a user can be achieved, so that pushed advertisement information can be more attached to preference of the user on one hand, and advertisements put by advertisers can be more accurately covered on a target user on the other hand.

Description

Information pushing method, device, equipment and computer readable storage medium
Technical Field
The application relates to the field of data processing, in particular to an information pushing technology based on big data.
Background
As networks evolve, more and more users conduct searches on the networks for information of interest. Accordingly, in order to enable the placed advertisements to cover more target users, advertisement information corresponding to the search words can be pushed to the users according to the search words of the users, so that the placed advertisement information is more fit with the requirements of the users.
Currently, users are increasingly searching for entertainment content including, but not limited to, stars, novels, entertainment news, movie cartoons, and the like. However, the corresponding advertisement pushing cannot be performed according to the entertainment search information of the user, so that on one hand, the user cannot obtain more interested contents, and on the other hand, the advertisement put by the advertiser cannot cover more target users. Therefore, how to push information according to entertainment search words of users is a problem to be solved.
Disclosure of Invention
The application provides an information pushing method, an information pushing device, information pushing equipment and a computer readable storage medium, which can solve the technical problem that the conventional advertisement putting method cannot push advertisements according to entertainment search information of a user.
In a first aspect, an embodiment of the present application provides an information pushing method, including:
Receiving search information sent by terminal equipment, wherein the search information comprises entertainment search words and/or entertainment pictures;
inputting the search information into a preset first network model, determining advertisement keywords corresponding to the search words through the first network model, wherein the first network model is obtained through training of the search information marked by the advertisement keywords;
acquiring advertisement information corresponding to the advertisement keywords according to the advertisement keywords;
and sending the advertisement information to the terminal equipment, wherein the terminal equipment is used for displaying the advertisement information.
According to the information pushing method, through obtaining entertainment search information input by a user, corresponding advertisement keywords are determined according to the search information and the preset first network model, so that corresponding advertisement information can be determined according to the advertisement keywords and displayed to the user. Therefore, accurate pushing of advertisement information according to entertainment search information of a user can be achieved, so that pushed advertisement information can be more attached to preference of the user on one hand, and advertisements put by advertisers can be more accurately covered on a target user on the other hand.
In one possible design, the inputting the search information into a preset network model, and after determining the advertisement keyword corresponding to the search word through the network model, further includes:
inputting the search information and the advertisement keywords into a preset second network model, and determining recommended words corresponding to the search information and the advertisement keywords through the second network model;
correspondingly, the sending the advertisement information to the terminal equipment comprises the following steps:
and sending the recommended word and the advertisement information to the terminal equipment.
According to the information recommendation method provided by the embodiment, the search information and the advertisement keywords input by the user are input into the preset second network model, so that the recommended words associated with the search information and the advertisement keywords can be obtained, the user is more interested in the advertisement information, and the benefits of advertisement delivery can be improved.
In one possible design, before the search information is input to a preset network model and the advertisement keywords corresponding to the search words are determined through the network model, the method further includes:
acquiring first data to be trained, wherein the first data to be trained comprises search information marked by advertisement keywords;
Training a preset first model to be trained according to the first data to be trained to obtain the first network model.
According to the information recommendation method, the first network model is obtained by acquiring the first data to be trained and training the preset first model to be trained through the first data to be trained, so that the acquisition of the advertisement keywords corresponding to the search information can be achieved according to the first network model, and a foundation is provided for information pushing.
In one possible design, the acquiring the first data to be trained includes:
acquiring historical browsing information of a plurality of users from a data server;
determining the corresponding relation between each search information and the advertisement keyword according to the historical browsing information;
and marking the historical browsing information according to the corresponding relation to obtain the first data to be trained.
According to the information recommendation method provided by the embodiment, through summarizing the historical browsing, the corresponding relation between each search information and the advertisement keywords is determined, so that the search information can be marked according to the corresponding relation, first data to be trained is obtained, and a basis is provided for training of the first network model.
In one possible design, before the search information and the advertisement keyword are input to a preset second network model, determining the recommended word corresponding to the search information and the advertisement keyword through the second network model, the method further includes:
acquiring second data to be trained, wherein the second data to be trained comprises recommended words marked by searching information and the advertisement keywords;
training a preset second model to be trained according to the second data to be trained to obtain the second network model.
According to the information recommendation method, the second to-be-trained data are obtained, the second to-be-trained data are used for training the preset second to-be-trained model, and the second network model is obtained, so that search information and recommended words corresponding to the advertisement keywords can be obtained according to the second network model, and a foundation is provided for information pushing.
In one possible design, after receiving the search information sent by the terminal device, the method further includes:
acquiring a guide language corresponding to the search information;
and displaying the guide language.
According to the information pushing method, the guide language corresponding to the search information is obtained, and the guide language is displayed, so that a user can more intuitively know advertisement information, and user experience is improved.
In a second aspect, an embodiment of the present application provides an apparatus for pushing information, including:
the system comprises a search information acquisition module, a search module and a terminal device, wherein the search information acquisition module is used for receiving search information sent by the terminal device, and the search information comprises entertainment search words and/or entertainment pictures;
the keyword acquisition module is used for inputting the search information into a preset first network model, determining advertisement keywords corresponding to the search words through the first network model, wherein the first network model is obtained through training of the search information marked by the advertisement keywords;
the advertisement information acquisition module is used for acquiring advertisement information corresponding to the advertisement keywords according to the advertisement keywords;
the first display module is used for sending the advertisement information to the terminal equipment, and the terminal equipment is used for displaying the advertisement information.
In one possible design, the apparatus further comprises:
the recommended word acquisition module is used for inputting the search information and the advertisement keywords into a preset second network model, and determining recommended words corresponding to the search information and the advertisement keywords through the second network model;
accordingly, the first display module includes:
And the display unit is used for sending the recommended words and the advertisement information to the terminal equipment.
In one possible design, the apparatus further comprises:
the first data acquisition module is used for acquiring first data to be trained, wherein the first data to be trained comprises search information marked by advertisement keywords;
and the first training module is used for training a preset first model to be trained according to the first data to be trained to obtain the first network model.
In one possible design, the first data acquisition module includes:
a history browsing information acquisition unit configured to acquire history browsing information of a plurality of users from a data server;
the corresponding relation determining unit is used for determining the corresponding relation between each search information and the advertisement keyword according to the historical browsing information;
and the labeling unit is used for labeling the historical browsing information according to the corresponding relation to obtain the first data to be trained.
In one possible design, the apparatus further comprises:
the second data acquisition module is used for acquiring second data to be trained, wherein the second data to be trained comprises recommended words marked by search information and the advertisement keywords;
And the second training module is used for training a preset second model to be trained according to the second data to be trained to obtain the second network model.
In one possible design, the apparatus further comprises:
the guide word acquisition module is used for acquiring guide words corresponding to the search information;
and the second display module is used for displaying the guide language.
In a third aspect, the present application provides an electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
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 the first aspects.
In a fourth aspect, 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.
In a fifth aspect, the present application provides an information pushing method, including:
obtaining search information, wherein the search information comprises entertainment search words and/or entertainment pictures;
Determining advertisement keywords corresponding to the search information according to the search information;
acquiring advertisement information corresponding to the advertisement keywords according to the advertisement keywords;
and sending the advertisement information to terminal equipment, wherein the terminal equipment is used for displaying the advertisement information.
In a sixth aspect, the present application provides a computer 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.
According to the information pushing method, the information pushing device, the information pushing equipment and the computer readable storage medium, through obtaining entertainment search information input by a user, corresponding advertisement keywords are determined according to the search information and a preset first network model, so that corresponding advertisement information can be determined according to the advertisement keywords and displayed to the user. Therefore, accurate pushing of advertisement information according to entertainment search information of a user can be achieved, so that pushed advertisement information can be more attached to preference of the user on one hand, and advertisements put by advertisers can be more accurately covered on a target user on the other hand.
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 diagram of a network architecture upon which the present application is based;
fig. 2 is a flow chart of an information pushing method according to an embodiment of the present application;
FIG. 3 is another network architecture diagram provided herein;
FIG. 4 is a schematic diagram of an interactive interface provided in an embodiment of the present application;
fig. 5 is a flow chart of an information recommendation method according to a second embodiment of the present application;
FIG. 6 is a diagram of a further network architecture provided in an embodiment of the present application;
fig. 7 is a schematic structural diagram of an information pushing device according to a third embodiment of the present application;
fig. 8 is a schematic structural diagram of a server according to a fourth 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.
Fig. 1 is a network architecture diagram based on the present application, and as shown in fig. 1, the network architecture diagram based on the present application at least includes an information push device 1 and a terminal device 2, where the information push device 1 is communicatively connected with the terminal device 2. So that the user can send the search information to the information push apparatus 1 through the terminal device 2. The information pushing device 1 is written by adopting languages such as C/C++, java, shell or Python; the terminal device 2 may be, for example, a desktop computer, a tablet computer, etc.
Fig. 2 is a flow chart of an information pushing method according to an embodiment of the present application; FIG. 3 is another network architecture diagram provided herein; fig. 4 is a schematic diagram of an interactive interface provided in an embodiment of the present application, as shown in fig. 2 to fig. 4, where the method includes:
step 101, receiving search information sent by terminal equipment, wherein the search information comprises entertainment search words and/or entertainment pictures.
The execution body of the present embodiment is an information pushing device, for example, the information pushing device 1 shown in fig. 1. The user may perform an information search on the terminal device 2, for example, the user may input search information on a search engine installed on the terminal device, wherein the search information may specifically include entertainment search words and/or entertainment pictures. The terminal device may acquire search information input by the user and send the search information to the information pushing device. The information pushing device is in communication connection with the terminal equipment, so that the information pushing device can perform information interaction with the terminal equipment. Accordingly, the information pushing device can acquire the search information sent by the terminal device. As an implementation manner, the information pushing device may be provided with a display interface, and the user may directly input search information on the display interface, and accordingly, the information pushing device may be capable of acquiring the search information input by the user.
Step 102, inputting the search information into a preset first network model, determining advertisement keywords corresponding to the search words through the first network model, wherein the first network model is obtained through training of the search information marked by the advertisement keywords.
In this embodiment, in order to implement information pushing for a user according to search information of the user, after the search information input by the user is obtained, the search information may be input into a preset first network model, so as to obtain advertisement keywords corresponding to the search word. For example, the search information entered by the user may be entertainment search terms: a star officer announces, i.e., entertainment news of a wedding of a star. Therefore, after the search term is acquired, the search term may be input into a preset first network model, to obtain an advertisement keyword corresponding to the search term: wedding photo. And the information pushing device can push advertisement information to the user according to the advertisement keywords. Therefore, the advertisement pushing can be carried out on the user according to the entertainment searching information of the user, and the pushed advertisement information is more suitable for the current preference of the user. Alternatively, the first network model may be set in the information pushing device 1 or may be set on another server 3, as shown in fig. 3, when the first network model is set on another server, the information pushing device 1 is further connected in communication with another server 3, so that after obtaining the search information, the information pushing device may send the search information to the other server 3, so that the server 3 may input the search information to the first network model, obtain advertisement keywords corresponding to the search information, and return the advertisement keywords to the information pushing device.
Step 103, acquiring advertisement information corresponding to the advertisement keywords according to the advertisement keywords.
In this embodiment, in order to implement advertisement delivery, an advertiser generally determines at least one keyword corresponding to an advertisement according to a type and content of the advertisement to be delivered. Therefore, after the advertisement keyword is obtained according to the search information of the user, the advertisement corresponding to the advertisement keyword can be obtained according to the advertisement keyword, so that accurate pushing of the advertisement information can be realized.
And 104, displaying advertisement information corresponding to the advertisement keywords.
In this embodiment, in order to enable the user to view the advertisement information, after acquiring the corresponding advertisement information according to the advertisement keyword, the advertisement information may be displayed. Specifically, the advertisement information may be sent to a terminal device of the user for display. When the information pushing device is provided with a display interface, the display interface can be directly controlled to display the advertisement information. In addition, it should be understood that the user interface diagram is merely illustrative, and that the "star office" and "advertisement information" as described in the drawing are merely illustrative, and the present embodiment is not limited to what the user interface can display.
According to the information pushing method, through obtaining entertainment search information input by a user, corresponding advertisement keywords are determined according to the search information and the preset first network model, so that corresponding advertisement information can be determined according to the advertisement keywords and displayed to the user. Therefore, accurate pushing of advertisement information according to entertainment search information of a user can be achieved, so that pushed advertisement information can be more attached to preference of the user on one hand, and advertisements put by advertisers can be more accurately covered on a target user on the other hand.
Further, on the basis of any of the above embodiments, after step 102, the method further includes:
inputting the search information and the advertisement keywords into a preset second network model, and determining recommended words corresponding to the search information and the advertisement keywords through the second network model;
accordingly, step 104 specifically includes:
and sending the recommended word and the advertisement information to the terminal equipment.
In this embodiment, in order to make the pushed advertisement information more fit with the preference of the user and the search information input by the user, the search information and the advertisement keyword input by the user may be input into a preset second network model, a recommended word corresponding to the search information and the advertisement keyword is obtained, and the recommended word and the advertisement information are sent to the terminal device together, so that the recommended word and the advertisement information can be displayed to the user together. For example, if the search information currently input by the user is: and a star officer announces that the advertisement obtained according to the search information is an advertisement for shooting wedding photos correspondingly. Therefore, after the search information and the advertisement keyword input by the user are input into the preset second network model, recommended words associated with stars and wedding photos can be obtained, for example: what is a wedding dress to catch a set of rival stars?
According to the information recommendation method provided by the embodiment, the search information and the advertisement keywords input by the user are input into the preset second network model, so that the recommended words associated with the search information and the advertisement keywords can be obtained, the user is more interested in the advertisement information, and the benefits of advertisement delivery can be improved.
Fig. 5 is a flow chart of an information recommendation method according to a second embodiment of the present application, where, based on any of the foregoing embodiments, before step 102, the method further includes:
step 201, obtaining first data to be trained, wherein the first data to be trained comprises search information marked by advertisement keywords;
step 202, training a preset first model to be trained according to the first data to be trained, and obtaining the first network model.
In this embodiment, in order to obtain the advertisement keyword, a first network model needs to be established first. Specifically, first data to be trained can be obtained, wherein the first data to be trained includes search information marked by advertisement keywords, that is, the first model to be trained includes a plurality of search information, each search information has a corresponding identifier, and the corresponding relationship between the search information and the advertisement keywords is represented. After the first data to be trained is obtained, a preset first model to be trained can be trained through the first data to be trained until the model converges, and a first network model is obtained. It should be noted that, the first model to be trained may be a neural network model, or any other model capable of implementing a matching operation, which is not limited herein.
According to the information recommendation method, the first network model is obtained by acquiring the first data to be trained and training the preset first model to be trained through the first data to be trained, so that the acquisition of the advertisement keywords corresponding to the search information can be achieved according to the first network model, and a foundation is provided for information pushing.
Further, fig. 6 is a further network architecture diagram provided in the embodiment of the present application, and on the basis of any one of the foregoing embodiments, as shown in fig. 6, step 201 specifically includes:
acquiring historical browsing information of a plurality of users from a data server;
determining the corresponding relation between each search information and the advertisement keyword according to the historical browsing information;
and marking the historical browsing information according to the corresponding relation to obtain the first data to be trained.
In this embodiment, the network architecture on which the present application is based further includes a data server 4, as shown in fig. 6, where the information pushing apparatus 1 is respectively connected in communication with the terminal device 2 and the data server 4, so that the information pushing apparatus 1 can perform information interaction with the data server 4. The method comprises the steps that historical browsing information of a plurality of users is prestored in a data server, the historical browsing information comprises search information of the users at different moments and content browsed by the users, and the historical browsing information can determine association relations between the search information of the users and advertisement keywords. For example, the user history browsing information includes search information: after searching the information, a user clicks a wedding photo in the search result to check, or after searching the information, the user searches the information about the wedding photo again, so that the corresponding relation between each search information and the advertisement keywords can be accurately determined by summarizing the historical browsing. And the search information can be marked according to the corresponding relation to obtain first data to be trained.
According to the information recommendation method provided by the embodiment, through summarizing the historical browsing, the corresponding relation between each search information and the advertisement keywords is determined, so that the search information can be marked according to the corresponding relation, first data to be trained is obtained, and a basis is provided for training of the first network model.
Further, on the basis of any one of the above embodiments, before the inputting the search information and the advertisement keyword into the preset second network model to obtain the recommended word corresponding to the search information and the advertisement keyword, the method further includes:
acquiring second data to be trained, wherein the second data to be trained comprises recommended words marked by searching information and the advertisement keywords;
training a preset second model to be trained according to the second data to be trained to obtain the second network model.
In this embodiment, in order to obtain the recommended word, second data to be trained may also be obtained, where the second data to be trained includes the recommended word marked by the search information and the advertisement keyword. Training a preset second model to be trained through the second data to be trained until the model converges, and obtaining a second network model. It should be noted that, the second model to be trained may be a neural network model, or any other model capable of implementing a matching operation, which is not limited herein.
According to the information recommendation method, the second to-be-trained data are obtained, the second to-be-trained data are used for training the preset second to-be-trained model, and the second network model is obtained, so that search information and recommended words corresponding to the advertisement keywords can be obtained according to the second network model, and a foundation is provided for information pushing.
Further, on the basis of any one of the above embodiments, after step 101, the method further includes:
acquiring a guide language corresponding to the search information;
and displaying the guide language.
In this embodiment, after the search information input by the user is acquired, a guidance language corresponding to the search information may also be determined and displayed. So that the user can view the advertisement information according to the guide. For example, the guidance language may be: and recommending the sentences for you. In order to achieve the acquisition of the guide language, association relations between a plurality of search information and the guide language can be established in advance, so that the corresponding guide language can be acquired according to the search information.
According to the information pushing method, the guide language corresponding to the search information is obtained, and the guide language is displayed, so that a user can more intuitively know advertisement information, and user experience is improved.
Fig. 7 is a schematic structural diagram of an information pushing device according to a third embodiment of the present application, as shown in fig. 7, where the information pushing device 30 includes:
a search information acquisition module 31, configured to receive search information sent by a terminal device, where the search information includes entertainment search words and/or entertainment pictures;
the keyword obtaining module 32 is configured to input the search information into a preset first network model, determine an advertisement keyword corresponding to the search word through the first network model, where the first network model is obtained through training of search information marked by the advertisement keyword;
an advertisement information obtaining module 33, configured to obtain advertisement information corresponding to the advertisement keyword according to the advertisement keyword;
and the first display module 34 is configured to send the advertisement information to the terminal device, where the terminal device is configured to display the advertisement information.
Further, on the basis of any one of the foregoing embodiments, the apparatus further includes:
the recommended word acquisition module is used for inputting the search information and the advertisement keywords into a preset second network model, and determining recommended words corresponding to the search information and the advertisement keywords through the second network model;
Accordingly, the first display module includes:
and the display unit is used for sending the recommended words and the advertisement information to the terminal equipment.
Further, on the basis of any one of the foregoing embodiments, the apparatus further includes:
the first data acquisition module is used for acquiring first data to be trained, wherein the first data to be trained comprises search information marked by advertisement keywords;
and the first training module is used for training a preset first model to be trained according to the first data to be trained to obtain the first network model.
Further, on the basis of any one of the foregoing embodiments, the first data acquisition module includes:
a history browsing information acquisition unit configured to acquire history browsing information of a plurality of users from a data server;
the corresponding relation determining unit is used for determining the corresponding relation between each search information and the advertisement keyword according to the historical browsing information;
and the labeling unit is used for labeling the historical browsing information according to the corresponding relation to obtain the first data to be trained.
Further, on the basis of any one of the foregoing embodiments, the apparatus further includes:
The second data acquisition module is used for acquiring second data to be trained, wherein the second data to be trained comprises recommended words marked by search information and the advertisement keywords;
and the second training module is used for training a preset second model to be trained according to the second data to be trained to obtain the second network model.
Further, on the basis of any one of the foregoing embodiments, the apparatus further includes:
the guide word acquisition module is used for acquiring guide words corresponding to the search information;
and the second display module is used for displaying the guide language.
According to embodiments of the present application, an electronic device and a readable storage medium are also provided.
According to an embodiment of the present application, there is also provided a computer program product comprising: a computer program stored in a readable storage medium, from which at least one processor of an electronic device can read, the at least one processor executing the computer program causing the electronic device to perform the solution provided by any one of the embodiments described above.
Fig. 8 is a schematic structural diagram of a server provided in a fourth embodiment of the present application, where the information pushing device in the above embodiment is a component in the server, and as shown in fig. 8, is a block diagram of the server according to the information pushing method in the embodiment of the present application. Servers are intended to represent various forms of digital computers, such as laptops, desktops, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The server 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. 8, the server 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 server, including instructions stored in or on memory to display graphical information of the GUI on an external input/output device, such as a display apparatus 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 servers may be connected, with each device 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. 8.
Memory 502 is a non-transitory computer readable storage medium provided herein. The memory stores instructions executable by the at least one processor to cause the at least one processor to perform the information pushing method provided by the present application. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to execute the information push method provided by the present application.
The memory 502 is a non-transitory computer readable storage medium, and may be used to store a non-transitory software program, a non-transitory computer executable program, and modules, such as program instructions/modules corresponding to the information pushing method in the embodiment of the present application (e.g., the search information acquisition module 31, the keyword acquisition module 32, the advertisement information acquisition module 33, and the first display module 34 shown in fig. 7). 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 information push 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 according to the use of the information push server, etc. 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, the memory 502 may optionally include memory located remotely from the processor 501, which may be connected to a server for information push 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 server of the information push 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. 8.
The input device 503 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the server that the information is pushed, such as a touch screen, keypad, mouse, trackpad, touchpad, pointer stick, one or more mouse buttons, trackball, 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.
The invention also provides an information pushing method, which comprises the following steps:
Obtaining search information, wherein the search information comprises entertainment search words and/or entertainment pictures;
determining advertisement keywords corresponding to the search information according to the search information;
acquiring advertisement information corresponding to the advertisement keywords according to the advertisement keywords;
and sending the advertisement information to terminal equipment, wherein the terminal equipment is used for displaying the advertisement information.
The execution body of the embodiment is an information pushing device, which can receive search information, where the search information includes entertainment search words and/or entertainment pictures, and the search information can be input by a user through terminal equipment, sent to the information pushing device by the terminal equipment, or input by a display interface preset on the information pushing device by the user. After the search information is acquired, advertisement keywords corresponding to the search information may be determined according to the search information. Specifically, the advertisement keywords can be obtained through a corresponding relation between preset search information and the advertisement keywords, and also can be obtained through a preset network model. After the advertisement keyword is obtained, advertisement information corresponding to the advertisement keyword can be obtained from a preset database according to the advertisement keyword, and the advertisement information is sent to terminal equipment in communication connection with the information pushing device, so that a user can view the advertisement information on the terminal equipment.
According to the information pushing method, the entertainment search information input by the user is obtained, and the corresponding advertisement keywords are determined according to the search information, so that the corresponding advertisement information can be determined according to the advertisement keywords and displayed to the user. Therefore, accurate pushing of advertisement information according to entertainment search information of a user can be achieved, so that pushed advertisement information can be more attached to preference of the user on one hand, and advertisements put by advertisers can be more accurately covered on a target user on the other hand.
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 information pushing method is characterized by comprising the following steps:
receiving search information sent by terminal equipment, wherein the search information comprises entertainment search words and/or entertainment pictures;
inputting the search information into a preset first network model, determining advertisement keywords corresponding to the search words through the first network model, wherein the first network model is obtained through training of the search information marked by the advertisement keywords;
inputting the search information and the advertisement keywords into a preset second network model, and determining recommended words corresponding to the search information and the advertisement keywords through the second network model;
acquiring advertisement information corresponding to the advertisement keywords according to the advertisement keywords;
and sending the recommended words and the advertisement information to the terminal equipment, wherein the terminal equipment is used for displaying the advertisement information.
2. The method of claim 1, wherein the inputting the search information into a preset network model, before determining the advertisement keyword corresponding to the search word through the network model, further comprises:
acquiring first data to be trained, wherein the first data to be trained comprises search information marked by advertisement keywords;
Training a preset first model to be trained according to the first data to be trained to obtain the first network model.
3. The method of claim 2, wherein the acquiring the first data to be trained comprises:
acquiring historical browsing information of a plurality of users from a data server;
determining the corresponding relation between each search information and the advertisement keyword according to the historical browsing information;
and marking the historical browsing information according to the corresponding relation to obtain the first data to be trained.
4. The method of claim 1, wherein before the step of inputting the search information and the advertisement keyword into a preset second network model, determining the recommended word corresponding to the search information and the advertisement keyword through the second network model, further comprises:
acquiring second data to be trained, wherein the second data to be trained comprises recommended words marked by searching information and the advertisement keywords;
training a preset second model to be trained according to the second data to be trained to obtain the second network model.
5. The method according to any one of claims 1-4, wherein after receiving the search information sent by the terminal device, further comprising:
Acquiring a guide language corresponding to the search information;
and displaying the guide language.
6. An apparatus for pushing information, comprising:
the system comprises a search information acquisition module, a search module and a terminal device, wherein the search information acquisition module is used for receiving search information sent by the terminal device, and the search information comprises entertainment search words and/or entertainment pictures;
the keyword acquisition module is used for inputting the search information into a preset first network model, determining advertisement keywords corresponding to the search words through the first network model, wherein the first network model is obtained through training of the search information marked by the advertisement keywords;
the recommended word acquisition module is used for inputting the search information and the advertisement keywords into a preset second network model, and determining recommended words corresponding to the search information and the advertisement keywords through the second network model;
the advertisement information acquisition module is used for acquiring advertisement information corresponding to the advertisement keywords according to the advertisement keywords;
the first display module is used for sending the recommended words and the advertisement information to the terminal equipment, and the terminal equipment is used for displaying the advertisement information.
7. The apparatus of claim 6, wherein the apparatus further comprises:
the first data acquisition module is used for acquiring first data to be trained, wherein the first data to be trained comprises search information marked by advertisement keywords;
and the first training module is used for training a preset first model to be trained according to the first data to be trained to obtain the first network model.
8. The apparatus of claim 7, wherein the first data acquisition module comprises:
a history browsing information acquisition unit configured to acquire history browsing information of a plurality of users from a data server;
the corresponding relation determining unit is used for determining the corresponding relation between each search information and the advertisement keyword according to the historical browsing information;
and the labeling unit is used for labeling the historical browsing information according to the corresponding relation to obtain the first data to be trained.
9. The apparatus of claim 6, wherein the apparatus further comprises:
the second data acquisition module is used for acquiring second data to be trained, wherein the second data to be trained comprises recommended words marked by search information and the advertisement keywords;
And the second training module is used for training a preset second model to be trained according to the second data to be trained to obtain the second network model.
10. The apparatus according to any one of claims 6-9, wherein the apparatus further comprises:
the guide word acquisition module is used for acquiring guide words corresponding to the search information;
and the second display module is used for displaying the guide language.
11. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein, the liquid crystal display device comprises a liquid crystal display device,
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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