CN110020880B

CN110020880B - Advertisement putting method, device and equipment

Info

Publication number: CN110020880B
Application number: CN201810022900.4A
Authority: CN
Inventors: 余晓峰
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2018-01-10
Filing date: 2018-01-10
Publication date: 2023-09-05
Anticipated expiration: 2038-01-10
Also published as: CN110020880A

Abstract

The embodiment of the invention discloses an advertisement putting method, device and equipment. The method comprises the following steps: receiving an advertisement putting request sent by first equipment, wherein the advertisement putting request carries an advertisement to be put and at least one basic keyword; acquiring the release keywords corresponding to the advertisements based on the basic keywords, wherein the number of the release keywords is larger than that of the basic keywords; determining at least one target delivery object according to the delivery keywords; and delivering advertisements to each target delivery object. In the embodiment of the invention, the basic keywords sent by the first equipment are expanded by the server to obtain the release keywords, and as the quantity and diversity of the release keywords are improved compared with those of the basic keywords, the follow-up server determines target release objects based on the release keywords and performs advertisement release, the determined target release objects are more, so that the coverage of advertisements can be enlarged, and the release effect of the advertisements is improved.

Description

Advertisement putting method, device and equipment

Technical Field

The embodiment of the invention relates to the technical field of data analysis, in particular to an advertisement putting method, an advertisement putting device and advertisement putting equipment.

Background

Currently, with the increasing growth of internet users, advertising by merchants through an internet platform has become a trend.

The advertisement putting method provided by the related technology is as follows: when a merchant has an advertisement putting requirement, an advertisement putting request carrying an advertisement and a basic keyword is sent to a server through first equipment, and after the server receives the advertisement putting request, a target putting object is determined based on the basic keyword and the advertisement is put to the determined target putting object.

In the related art, as the basic keywords are provided by merchants, the quantity and the diversity of the basic keywords are low, and the coverage rate of advertisements when the server performs advertisement delivery based on the basic keywords is low.

Disclosure of Invention

The embodiment of the invention provides an advertisement putting method, device and equipment, which are used for solving the problem of low advertisement putting coverage rate in the related technology. The technical scheme is as follows:

in one aspect, a method for advertising is provided, the method comprising:

receiving an advertisement putting request sent by first equipment, wherein the advertisement putting request carries an advertisement to be put and at least one basic keyword, and the basic keyword is used for indicating a classification label corresponding to the advertisement;

Acquiring the release keywords corresponding to the advertisements based on the basic keywords, wherein the number of the release keywords is larger than that of the basic keywords;

determining at least one target delivery object according to the delivery keywords;

and delivering the advertisements to the target delivery objects.

In another aspect, a method of advertising is provided, the method comprising:

displaying an advertisement order creation page, wherein the advertisement order creation page comprises an advertisement uploading inlet and a keyword input inlet;

acquiring an advertisement to be put uploaded through the advertisement uploading inlet and at least one basic keyword input in the keyword input inlet;

the method comprises the steps of sending an advertisement putting request to a server, wherein the advertisement putting request carries the advertisement and at least one basic keyword, the server is used for obtaining putting keywords corresponding to the advertisement based on the basic keywords, determining at least one target putting object according to the putting keywords, and putting the advertisement to each target putting object, and the number of the putting keywords is larger than that of the basic keywords.

In one aspect, an advertisement delivery device is provided, the device comprising:

The advertisement delivery system comprises a request receiving module, a first device and a second device, wherein the request receiving module is used for receiving an advertisement delivery request sent by the first device, the advertisement delivery request carries an advertisement to be delivered and at least one basic keyword, and the basic keyword is used for indicating a classification label corresponding to the advertisement;

the first acquisition module is used for acquiring the release keywords corresponding to the advertisements based on the basic keywords, wherein the number of the release keywords is larger than that of the basic keywords;

the object determining module is used for determining at least one target delivery object according to the delivery keywords;

and the advertisement delivery module is used for delivering the advertisements to the target delivery objects.

In another aspect, an advertisement delivery device is provided, the device comprising:

the page display module is used for displaying an advertisement order creation page, wherein the advertisement order creation page comprises an advertisement uploading inlet and a keyword input inlet;

the advertisement acquisition module is used for acquiring the advertisement to be put uploaded through the advertisement uploading inlet;

the second acquisition module is used for acquiring at least one basic keyword input in the keyword input inlet;

the request sending module is used for sending an advertisement putting request to a server, wherein the advertisement putting request carries the advertisement and at least one basic keyword, the server is used for obtaining the putting keywords corresponding to the advertisement based on the basic keywords, determining at least one target putting object according to the putting keywords, and putting the advertisement to each target putting object, and the number of the putting keywords is larger than that of the basic keywords.

In one aspect, a server is provided, the server including a processor and a memory having at least one instruction, at least one program, a set of codes, or a set of instructions stored therein, the at least one instruction, the at least one program, the set of codes, or the set of instructions being loaded and executed by the processor to implement the advertisement delivery method as described in one aspect.

In one aspect, a terminal is provided, the terminal comprising a processor and a memory having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, the at least one instruction, the at least one program, the set of codes, or the set of instructions being loaded and executed by the processor to implement the advertisement delivery method as described in another aspect.

In one aspect, a computer readable storage medium having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions loaded and executed by a processor to implement the advertisement delivery method as described in one aspect is provided.

In one aspect, a computer-readable storage medium having at least one instruction, at least one program, a set of codes, or a set of instructions stored therein is provided, the at least one instruction, the at least one program, the set of codes, or the set of instructions being loaded and executed by a processor to implement the advertisement delivery method as described in another aspect.

In one aspect, a computer program product is provided which, when executed, is adapted to carry out the advertising method of the above aspect.

In one aspect, a computer program product is provided that, when executed, is adapted to perform the advertising method of the other aspect described above.

The technical scheme provided by the embodiment of the invention can bring the following beneficial effects:

the basic keywords sent by the first equipment are expanded by the server to obtain the release keywords, and as the quantity and diversity of the release keywords are improved compared with those of the basic keywords, the follow-up server determines target release objects based on the release keywords and performs advertisement release, the determined target release objects are more, so that the coverage range of advertisements can be enlarged, and the release effect of the advertisements is improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, 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 invention, 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 provided by an embodiment of the present invention;

FIG. 2A is a flow chart of an advertising method according to one embodiment of the invention;

FIG. 2B is a schematic diagram of an interface of an advertisement order creation page, shown in accordance with one embodiment of the present invention;

FIG. 3 is a schematic diagram of a word vector model provided by one embodiment of the present invention;

FIG. 4A is a flow chart of an advertising method provided by another embodiment of the present invention;

FIG. 4B is a schematic diagram of an advertising method provided by one embodiment of the present invention;

FIG. 5A is a schematic diagram of coverage of advertisements in three ways;

FIG. 5B is a schematic diagram of the coverage amount of an advertisement in three ways;

FIG. 6A is a block diagram of an advertising device provided in one embodiment of the invention;

FIG. 6B is a block diagram of an advertising device provided in another embodiment of the present invention;

FIG. 7 is a block diagram of a server provided by one embodiment of the invention;

fig. 8 is a block diagram of a terminal provided in one embodiment of the present invention.

Detailed Description

For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the embodiments of the present invention will be described in further detail with reference to the accompanying drawings.

Referring to fig. 1, a schematic diagram of an application scenario according to an exemplary embodiment of the present invention is shown. The application scenario comprises a first device 11, a server 12 and a second device 13.

The first device 11 is an electronic device of a merchant having advertising needs. The first device 11 may be a cell phone, a tablet computer, an electronic book reader, a laptop portable computer, a desktop computer, etc.

The server 12 is for providing an advertisement delivery service to the first device 11. In one example, the server is a clustered computing platform, e.g., spark. In another example, server 12 is a background server corresponding to an application program for providing advertising services. The server 12 may be a server, a server cluster comprising a plurality of servers, or a cloud computing service center.

The second device 13 is a terminal device having a function of receiving and displaying advertisements. The second device 13 may be a cell phone, tablet computer, electronic book reader, laptop portable computer, desktop computer, etc.

The server 12 may establish a communication connection with the first device 11 and the second device 13, respectively, via a network. The network may be a wireless network or a wired network.

Alternatively, the wireless network or wired network described above uses standard communication techniques and/or protocols. The network is typically the Internet, but may be any network including, but not limited to, a local area network (Local Area Network, LAN), metropolitan area network (Metropolitan Area Network, MAN), wide area network (Wide Area Network, WAN), mobile, wired or wireless network, private network, or any combination of virtual private networks. In some embodiments, data exchanged over the network is represented using techniques and/or formats including HyperText Mark-up Language (HTML), extensible markup Language (Extensible Markup Language, XML), and the like. All or some of the links may also be encrypted using conventional encryption techniques such as secure socket layer (Secure Socket Layer, SSL), transport layer security (Trassport Layer Security, TLS), virtual private network (Virtual Private Network, VPN), internet protocol security (Internet Protocol Security, IPsec), and the like. In other embodiments, custom and/or dedicated data communication techniques may also be used in place of or in addition to the data communication techniques described above.

In addition, the first device 11 and the second device 13 are both electronic devices. When the electronic device is used to implement the function of the first device side in the method example of the present disclosure, the electronic device is the first device 11; when the electronic device is used to receive and display advertisements, the electronic device acts as the second device 13. In practical applications, the same electronic device may be used as the first device 11 or the second device 13.

Referring to FIG. 2A, a flow chart of an advertisement delivery method according to an embodiment of the present invention is shown.

The method can be applied to the application scene shown in fig. 1. The method may comprise the steps of:

in step 201, a first device displays an advertisement order creation page.

The advertisement order creation page is used for creating advertisement orders for merchants, and the server can conduct advertisement delivery according to the advertisement orders created by the merchants. In one example, the server is provided with a uniform resource locator (Uniform Resource Locator, URL) of the advertisement order creation page, and the first device displays the advertisement order creation page after receiving a trigger signal corresponding to the URL. In another example, the server is a background server corresponding to an application program for implementing advertisement delivery, and after receiving a trigger signal corresponding to the application program, the first device displays an advertisement order creation page. The advertisement order creation page includes an advertisement upload entry and a keyword entry.

The advertisement uploading inlet is used for a merchant to upload advertisements to be put. Advertising refers to the means by which merchants disseminate information about goods or services to consumers through advertising media in order to promote the goods or provide services. The advertisement to be placed may be a multimedia file in the form of text, picture, audio, video, etc., which is not limited in the embodiment of the present invention.

The keyword input portal is used for inputting basic keywords used by merchants when advertising. The basic keywords are used for indicating classification labels corresponding to the advertisements, and further, the basic keywords are used for describing classification information of products corresponding to the advertisements. Illustratively, the product to which the advertisement corresponds is "xx mini-game", then the underlying keyword may be a game. The base keywords are determined by the merchant. In one example, the advertisement order creation page is provided with an input box in which the merchant enters the underlying keywords employed in the advertisement placement; in another example, the advertisement order creation page is provided with a plurality of base keywords that are used by the merchant in selecting the advertisement placement.

Optionally, the advertisement order creation page further includes an entry for the merchant to input product description information, an entry for the merchant to input a time of impression, an entry for the merchant to input an advertisement fee to be paid, an operation control for triggering completion of creation of the advertisement order, and the like, which is not limited by the embodiment of the present invention. Referring in conjunction to FIG. 2B, an interface diagram of an advertisement order creation page 20 is shown, in accordance with an exemplary embodiment of the present invention. The advertisement order creation page 20 includes an advertisement upload entry 21, a keyword input entry 22, and an operation control 23 for triggering completion of advertisement order creation.

In step 202, the first device obtains an advertisement to be delivered uploaded through an advertisement upload entry, and at least one basic keyword input at a keyword input entry.

If the merchant has the advertisement putting requirement, the first equipment can be triggered to display an advertisement order creation page, and the advertisement to be put and the basic keywords adopted when the advertisement is put are uploaded on the advertisement order creation page, so that the creation of the advertisement order is realized.

In step 203, the first device sends an advertisement delivery request to a server.

The advertisement delivery request is used for requesting the server to deliver the advertisement. The advertisement delivery request carries the advertisement to be delivered and at least one base keyword. Optionally, the advertisement delivery request further carries an identifier of the first device, where the identifier of the device is used to uniquely identify the device. The identification of the device may be an international mobile equipment identity (International Mobile Equipment Identity, IMEI), an advertisement identifier (identifier For Identifier, IDFA), to which embodiments of the present invention are not limited. Optionally, after the first device receives a trigger signal corresponding to an operation control for triggering completion of creation of the advertisement order, an advertisement delivery request is sent to the server.

Accordingly, the server receives the advertisement delivery request sent by the first device.

In step 204, the server obtains the placement keywords corresponding to the advertisement based on the base keywords.

The delivery keywords are used for a server to determine delivery objects when the advertisements are delivered, and the delivery keywords can be obtained based on basic keyword expansion. The placement keywords may be the same or different from the base keywords. One base keyword may correspond to a plurality of put keywords, that is, the number of put keywords is greater than the number of base keywords. For a specific implementation manner that the server obtains the placement keywords corresponding to the advertisements based on the basic keywords, the following embodiments will be explained.

In the embodiment of the invention, the subsequent advertisement delivery is performed based on the delivery keywords, and the quantity and the diversity of the delivery keywords are improved compared with those of the basic keywords set by merchants, so that more delivery objects can be determined, and the coverage range of the advertisement is enlarged.

In step 205, the server determines at least one target delivery object according to the delivery keywords.

The target delivery object is a delivery object when the server delivers the advertisement corresponding to the first device. In the embodiment of the present invention, the target delivery object is the second device in the application scenario shown in fig. 1.

Optionally, step 205 includes the following sub-steps:

step 205a, searching for a preset corresponding relation to obtain a set of delivery objects corresponding to the delivery keywords.

Step 205b, taking the delivery object included in the delivery object set corresponding to the delivery keyword as the target delivery object.

The preset corresponding relation comprises a corresponding relation between the throwing keywords and the throwing object set. The same delivery object set comprises a plurality of delivery objects corresponding to the same delivery keywords.

In the embodiment of the invention, the server stores one-to-one correspondence between the release keywords and the release object sets, and after determining the release keywords, the server can query in the preset correspondence with the release keywords as indexes, thereby determining the release object sets and further determining the target release objects. In addition, the following embodiments will explain the manner of acquiring the preset correspondence.

In step 206, the server delivers advertisements to each target delivery object.

The server sends the advertisement to each target delivery object (i.e., the second device), which receives and presents the advertisement.

In summary, according to the method provided by the embodiment of the invention, the server expands the basic keywords sent by the first device to obtain the release keywords, and as the quantity and diversity of the release keywords are improved compared with those of the basic keywords, the follow-up server determines the target release objects based on the release keywords and performs advertisement release, the determined target release objects are more, so that the coverage of advertisements can be enlarged, and the release effect of the advertisements is prompted.

The following embodiment explains a specific implementation manner in which a server obtains a delivery keyword corresponding to an advertisement based on a base keyword. Optionally, the step of obtaining the placement keywords corresponding to the advertisements based on the basic keywords specifically includes the following steps:

step 204a, obtaining the association degree between the basic keywords and the pre-stored candidate keywords.

The candidate keywords are keywords pre-stored in the server, and each candidate keyword corresponds to a set of put objects. The degree of association is used to characterize the similarity between the base keyword and the candidate keywords. The degree of association and the similarity are in positive correlation, namely, the greater the similarity between the basic keyword and the candidate keyword is, the greater the degree of association between the first vector corresponding to the basic keyword and the second vector corresponding to the candidate keyword is; the smaller the similarity between the base keyword and the candidate keyword, the smaller the degree of association between the first vector corresponding to the base keyword and the second vector corresponding to the candidate keyword.

Alternatively, the obtaining the association degree between the basic keyword and the pre-stored candidate keyword may specifically include the following steps:

step 204a1, obtaining a first vector corresponding to a basic keyword and a second vector corresponding to a candidate keyword based on a word vector model;

The word vector model comprises an embedding layer, an input layer, a hiding layer and an output layer. The Embedding layer is used for representing words by adopting vectors, the input layer is used for splicing the vectors corresponding to the words end to end, and the output layer is used for outputting the probability of each word. In addition, tan h is used as an activation function between the hidden layer and the output layer, and softmax (classification) is used as an activation function after the output layer. In the embodiment of the invention, the word vector model can be a neural network language model (Neural network language model, NNLM), CBOW (Continuous Bag Of Words Model) model, skip-gram model and the like.

Referring in conjunction to FIG. 3, a schematic diagram of a word vector model is shown, according to one embodiment of the present invention. The server inputs indexes of the first n words in the word list into the enabling layer to obtain vectors corresponding to the words, then sequentially inputs the vectors corresponding to the words into the input layer, the hidden layer and the output layer to be processed, and finally obtains normalized probabilities corresponding to the words.

In the embodiment of the invention, the word vector model is trained to obtain each word and the vector corresponding to the word. Wherein, the words comprise basic keywords and candidate keywords. The subsequent server directly acquires a first vector corresponding to the basic keyword and a second vector corresponding to the candidate keyword from the training result of the word vector model.

The training process of the word vector model is explained as follows: for the appointed word, inputting vectors corresponding to the first n words of the appointed word into a word vector model to obtain a training result, adjusting parameters of a hidden layer according to the training result, and inputting vectors corresponding to the first n words of the appointed word into the word vector model again until the training result meets the expected result. The training result comprises probabilities corresponding to each word, the probabilities corresponding to the words are probabilities of the words after the first n words, and the expected result is the maximum probability corresponding to the specified words.

In step 204a2, a cosine distance between the first vector and the second vector is calculated, where the cosine distance is used to indicate a degree of association between the base keyword and the candidate keyword.

The cosine distance cos θ between two vectors can be calculated by the following formula:

where n is the dimension of two vectors, A _i Is the first vector, B _i Is the second vector of the first vector and,is the size of the first vector, +.>Is the size of the second vector.

In the embodiment of the invention, the server obtains the association degree between the basic keyword and the candidate keyword by calculating the cosine distance between the first vector corresponding to the basic keyword and the second vector corresponding to the candidate keyword. The cosine distance and the association degree form a positive correlation relationship, namely, the larger the cosine distance between a first vector corresponding to the basic keyword and a second vector corresponding to the candidate keyword is, the larger the association degree between the basic keyword and the candidate keyword is; the smaller the cosine distance between the first vector corresponding to the basic keyword and the second vector corresponding to the candidate keyword, the smaller the degree of association between the basic keyword and the candidate keyword.

Table-1 below exemplarily shows the correspondence between the base keyword, the put keyword, and the cosine distance between the first vector corresponding to the base keyword and the second vector corresponding to the candidate keyword.

TABLE-1

And 204b, determining the candidate keywords with the association degree meeting the preset conditions as the release keywords.

And arranging the association degree between the second vector corresponding to the candidate keyword and the first vector corresponding to the basic keyword in a sequence from high to low, wherein the preset condition is that the second vector corresponding to the candidate keyword and the first vector corresponding to the basic keyword are arranged in the first m bits. The value of m may be preset, and the embodiment of the present invention is not limited thereto. In addition, the preset condition may be that the degree of association between the second vector corresponding to the candidate keyword and the first vector corresponding to the base keyword is greater than the preset degree. The preset degree may be set according to actual experience, which is not limited in the embodiment of the present invention.

When the association degree is obtained through the cosine distance, step 204b is specifically implemented as: and determining the candidate keywords corresponding to the target second vector as the put keywords, wherein the target second vector is a second vector with a cosine distance from the first vector being larger than a first preset value. The first preset value may be set according to practical experience, which is not limited in the embodiment of the present invention. In addition, cosine distances between the second vectors and the first vectors may be arranged in order from large to small, and candidate keywords corresponding to the second vectors with cosine distances arranged in the first m bits may be determined as put keywords.

The following embodiments explain an implementation manner in which a server acquires a preset correspondence before determining at least one target delivery object. Optionally, the server obtaining the preset correspondence may include the following steps:

step 301, obtaining historical browsing data of a put object.

The historical browsing data includes text files that were browsed by the cast object. For example, the historical browsing data may be news that the posting subject browses. Optionally, the historical browsing data is a text file that the delivery object browses over a preset period of time. The preset time period may be set according to actual requirements, which is not limited in the embodiment of the present invention, and is exemplified by the last half year.

Historical browsing data of the delivered object may be obtained from other servers having a communication connection with the server. The other servers may be a background server corresponding to a social application, a background server corresponding to a news application, a background server corresponding to a shopping application, etc., which is not limited in the embodiment of the present invention. Optionally, the server acquires historical browsing data of the object to be put from the other servers at intervals of preset time.

Step 302, extracting a release keyword corresponding to the release object from the text file.

In the embodiment of the invention, the release keywords corresponding to the release object are the characteristic content of the text file, and the characteristic content of the text file can be regarded as the content possibly interested by the release object because the release object browses the text file once, so that the characteristic content of the text file can be regarded as the release keywords corresponding to the release object. Wherein the characteristic content of the text file is a high-level extraction of the text file, and can be generally used for generally representing text information included in the text file.

Alternatively, step 302 may include the following sub-steps:

step 302a, preprocessing a text file to obtain a plurality of text keywords;

preprocessing the text file includes word segmentation processing, filtering stop words and the like on the text file. The word segmentation process refers to dividing a text file into individual words. For a sentence, word segmentation is the basis of text mining, word segmentation processing is carried out on the sentence, and five words such as word segmentation, text mining, word segmentation and word segmentation are obtained. The algorithm adopted for word segmentation processing on the text file can be word segmentation algorithm based on character string matching, word segmentation algorithm based on understanding, word segmentation algorithm based on statistics, and the like, and the embodiment of the invention is not limited to this.

Stop words are functional words without actual meaning, such as mood aid words, adverbs, prepositions, connector words. Illustratively, the disabling words are "ground", "also". Filtering stop words refers to ignoring the stop words in text keywords obtained by word segmentation processing of the text file.

Step 302b, calculating word frequencies (TF) and inverse document frequencies (inverse document frequency, IDF) respectively corresponding to the text keywords;

the word frequency corresponding to the text keyword is the ratio of the occurrence number of the text keyword in the text file to the total number of the text keywords included in the text file. Illustratively, the number of occurrences of the text keyword "recommendation" in the text file is 25 times, and the total number of keywords of the text file included in the text file is 1000, the word frequency=25/1000=0.025 corresponding to the text keyword "recommendation".

The inverse document frequency corresponding to the text keyword can be calculated according to the following formula:

the IDF (w) is an IDF corresponding to the text keyword w, N is the number of text files in which the text keyword w appears, and M is the total number of text files included in the database. Illustratively, the number of text files having the text keyword "recommended" appears is 2 times, the total number of text files included in the database is 1023, and the text files correspond to

Step 302c, calculating TF-IDF corresponding to each text keyword according to TF and IDF;

the TF-IDF corresponding to the text keyword may be used to evaluate the importance of the text keyword in the text file. The TF-IDF and the importance degree of the text keywords in the text file are in positive correlation, namely, the higher the TF-IDF of the text keywords is, the higher the importance degree of the text keywords in the text file is; the lower the TF-IDF of a term, the lower the importance of the text keyword in the text file.

The TF-IDF of a text keyword may be commonly measured by the word frequency corresponding to the text keyword and the inverse document frequency. Alternatively, the TF-IDF corresponding to the text keyword may be calculated by the following formula:

TF-IDF(w)＝TF(w)×IDF(w)；

wherein w is a text keyword, TF-IDF (w) is TF-IDF corresponding to the text keyword w, TF (w) is TF corresponding to the text keyword w, and IDF (w) is IDF corresponding to the text keyword w.

According to the above formula, if the number of occurrences of the text keyword in one text file is larger and the number of occurrences of the text keyword in other text files is smaller, the TF-IDF of the text keyword is higher, and if the number of occurrences of the text keyword in one text file is smaller and the number of occurrences of the text keyword in other text files is larger, the TF-IDF of the text keyword is lower.

And 303d, determining the text keywords with TF-IDF larger than a second preset value as the delivery keywords corresponding to the delivery object.

The second preset value may be set according to practical experience, which is not limited in the embodiment of the present invention. In other possible examples, the text keywords are arranged according to the size of the TF-IDF, and the text keywords with TF-IDF indexes ranked in the top n bits are determined as the delivery keywords corresponding to the delivery object. The value of n may be preset, and n is illustratively 5.

Optionally, after determining the release keywords of the release object, the release keywords can be further expanded, so that more release keywords are determined. The manner of expanding the keyword may refer to step 204a and step 204b, which are not described herein.

Step 303, adding the delivery objects corresponding to the same delivery keyword to the same delivery object set to obtain a preset corresponding relationship.

In step 302, the server obtains a correspondence between each of the delivery objects and the delivery keywords. Each of the delivery objects corresponds to one or more delivery keywords. Because the number of the throwing objects is far greater than the number of the throwing keywords, in order to avoid the overlong time required to be consumed when traversing the throwing keywords corresponding to each throwing object in the follow-up advertisement throwing, the server further sorts the corresponding relation between each throwing object and the throwing keywords, thereby establishing the index relation between the throwing keywords and the throwing objects.

Illustratively, the release keywords corresponding to the release object a include release keywords "game", "play", the release keywords corresponding to the release object B include "game", "leisure", the release keywords corresponding to the release object C include "game", "fight", "arena", and the release objects A, B and C correspond to the same release keyword "game", so that the release objects A, B and C are included in the release object set corresponding to the release keyword "game".

Referring to fig. 4A, a flowchart of an advertisement delivery method according to another exemplary embodiment of the present invention is shown, and the method is also applied to the application scenario shown in fig. 1. The method may comprise the following steps:

in step 401, a first device displays an advertisement order creation page.

The advertisement order creation page includes an advertisement upload entry and a keyword entry.

In step 402, the first device obtains an advertisement to be delivered uploaded through an advertisement upload entry, and at least one basic keyword input at a keyword input entry.

In step 403, the first device sends an advertisement delivery request to a server.

The advertisement placement request carries an advertisement and at least one underlying keyword.

Step 404, the server obtains the placement keywords corresponding to the advertisements based on the basic keywords.

The number of put keywords is greater than the number of base keywords.

The server sends the delivery query information to the first device, step 405.

The advertisement inquiry information carries advertisement corresponding advertisement keywords, and is used for inquiring whether advertisement is put according to the advertisement keywords. The delivery query information may be displayed in a prompt pop-up window displayed by the first device. In the embodiment of the invention, before advertisement delivery, the server can also display the delivery keywords to the merchant and inquire whether the merchant delivers advertisements according to the delivery keywords.

Correspondingly, the first device receives the delivery inquiry information sent by the server.

In step 406, the first device receives a placement confirmation indication for confirming placement of advertisements according to the placement keywords.

The above-described delivery confirmation indication is triggered by the merchant. If the merchant expects to carry out advertisement delivery according to the delivery keywords determined by the server, a delivery confirmation operation can be executed, so that the first device receives the delivery confirmation instruction. Optionally, the prompt popup window further includes a first operation control and a second operation control, and when the merchant triggers the first operation control, the first device receives the delivery confirmation indication. When the merchant triggers the second operation control, the first device receives a delivery discard indication, and the delivery discard indication is used for discarding advertisement delivery according to the delivery keywords.

In step 407, the first device sends a delivery confirmation indication to the server.

Correspondingly, the server receives a delivery confirmation instruction sent by the first device.

In step 408, the server searches for a preset correspondence to obtain a set of objects corresponding to the keyword.

The preset corresponding relation comprises a corresponding relation between the throwing keywords and the throwing object set.

In step 409, the server uses the delivery objects included in the delivery object set corresponding to the delivery keywords as target delivery objects.

In step 410, the server delivers advertisements to each target delivery object.

Referring to FIG. 4B, a schematic diagram of an advertising method according to an exemplary embodiment of the invention is shown. The method comprises the steps that a server obtains historical browsing data of a released object, extracts a released keyword corresponding to the released object from a text file included in the historical browsing data, obtains a preset corresponding relation between each released object and the released keyword, expands the released keyword corresponding to the released object to obtain more released keywords, obtains the preset corresponding relation based on each released object and the expanded released keyword, expands a basic keyword carried by an advertisement release request when a subsequent server receives the advertisement release request to obtain the released keyword, queries the released keyword in the preset corresponding relation by taking the released keyword as an index, determines a target released object corresponding to the released keyword, and performs advertisement release to the target released object.

In summary, according to the method provided by the embodiment of the invention, the server expands the basic keywords sent by the first device to obtain the release keywords, and as the quantity and diversity of the release keywords are improved compared with those of the basic keywords, the follow-up server determines the target release objects based on the release keywords and performs advertisement release, the determined target release objects are more, so that the coverage of advertisements can be enlarged, and the release effect of the advertisements can be improved.

In the embodiment of the invention, the server performs advertisement delivery based on the delivery keywords, and the quantity and the diversity of the delivery keywords are improved compared with those of the basic keywords, so that the coverage of advertisements can be enlarged, and the delivery effect of the advertisements is improved. In addition, when the number of selected putting keywords is larger, the coverage area of the advertisement is larger, and the putting effect of the advertisement is better.

The following embodiments describe the delivery effect of the server in three ways, where the delivery effect is measured in terms of coverage and coverage number. The coverage rate refers to the ratio of the target delivery object to the total number of delivery objects. The coverage number refers to the number of target delivery objects.

In the first way, the server performs advertising based only on the base keywords.

In the second mode, the server performs advertisement delivery based on the basic keywords and one delivery keyword obtained by expanding the basic keywords.

In a third mode, the server performs advertisement delivery based on the basic keywords and three delivery keywords obtained by expanding the basic keywords.

Firstly, the server acquires a preset corresponding relation between a delivery keyword and a delivery object set based on historical browsing data of the delivery object in the last month. Specifically, the server extracts the release keywords of the release objects from each text file, expands the release keywords, and uses the word with the highest association degree with the release keywords as the release keywords to finally obtain 338482 keywords, wherein each keyword corresponds to one release object set.

Then, the server tests 263 basic keywords provided by each merchant, and sequentially carries out advertisement delivery according to the three modes, and then counts the coverage rate and the coverage quantity of advertisements under the three modes.

Referring to FIG. 5A in combination, coverage of advertisements in three ways is shown. Wherein the coverage of the advertisement in the first mode is about 0.45, the coverage of the advertisement in the second mode is about 0.85, and the coverage of the advertisement in the third mode is about 0.95.

Referring to FIG. 5B in combination, the coverage amount of advertisements in three ways is shown. Wherein the coverage of the advertisement in the first mode is about 51000, the coverage of the advertisement in the second mode is about 258000, and the coverage of the advertisement in the third mode is about 453000.

In the above method embodiment, the step on the first device side may be implemented separately as the advertisement delivery method on the first device side, and the step on the server side may be implemented separately as the advertisement delivery method on the server side.

The following are examples of the apparatus of the present invention that may be used to perform the method embodiments of the present invention. For details not disclosed in the embodiments of the apparatus of the present invention, please refer to the embodiments of the method of the present invention.

Referring to FIG. 6A, a block diagram of an advertisement delivery device according to an embodiment of the present invention is shown. The device has the function of realizing the server side in the method example, and the function can be realized by hardware or can be realized by executing corresponding software by hardware. The apparatus may include: a request receiving module 601, a first obtaining module 602, an object determining module 603 and an advertisement putting module 604.

The request receiving module 601 is configured to receive an advertisement delivery request sent by a first device, where the advertisement delivery request carries an advertisement to be delivered and at least one basic keyword, and the basic keyword is used to indicate a classification tag corresponding to the advertisement.

A first obtaining module 602, configured to obtain, based on the base keywords, placement keywords corresponding to the advertisement, where the number of placement keywords is greater than the number of base keywords.

The object determining module 603 is configured to determine at least one target delivery object according to the delivery keyword.

And the advertisement delivery module 604 is used for delivering the advertisement to each target delivery object.

In an alternative embodiment provided based on the embodiment shown in fig. 6A, the first obtaining module 602 is configured to:

acquiring the association degree between the basic keywords and pre-stored candidate keywords;

and determining the candidate keywords with the association degree meeting preset conditions as the release keywords.

Optionally, the first obtaining module 602 is configured to:

acquiring a first vector corresponding to the basic keyword and a second vector corresponding to the candidate keyword based on a word vector model;

calculating a cosine distance between the first vector and the second vector, wherein the cosine distance is used for indicating the association degree between the basic keyword and the candidate keyword;

and determining the candidate keywords corresponding to a target second vector as the putting keywords, wherein the target second vector is a second vector with a cosine distance between the target second vector and the first vector being larger than a first preset value.

In another alternative embodiment provided based on the embodiment shown in fig. 6A, the object determining module 603 is configured to:

searching a preset corresponding relation to obtain a throwing object set corresponding to the throwing key words, wherein the preset corresponding relation comprises a corresponding relation between the throwing key words and the throwing object set;

and taking the delivery object included in the delivery object set corresponding to the delivery keyword as the target delivery object.

Optionally, the object determining module 603 is further configured to:

acquiring historical browsing data of a put object, wherein the historical browsing data comprises text files browsed by the put object;

extracting a release keyword corresponding to the release object from the text file;

and adding the delivery objects corresponding to the same delivery keywords to the same delivery object set to obtain the preset corresponding relation.

Optionally, the object determining module 603 is configured to:

preprocessing the text file to obtain a plurality of text keywords;

calculating TF and IDF corresponding to each text keyword respectively;

calculating TF-IDFs corresponding to the text keywords according to the TF and the IDFs;

And determining the text keywords with TF-IDF larger than a second preset value as the release keywords corresponding to the release objects.

In another alternative embodiment provided based on the embodiment shown in fig. 6A, the apparatus further comprises: an information transmission module (not shown).

The information sending module is used for sending the advertisement inquiry information to the first equipment, wherein the advertisement inquiry information carries the advertisement keyword corresponding to the advertisement, and the advertisement inquiry information is used for inquiring whether advertisement is launched according to the advertisement keyword.

The object determining module 603 is further configured to execute the step of determining at least one target delivery object according to the delivery keyword after receiving a delivery confirmation instruction returned by the first device, where the delivery confirmation instruction is used to confirm that advertisement delivery is performed according to the delivery keyword.

Referring to FIG. 6B, a block diagram of an advertisement delivery device according to an embodiment of the present invention is shown. The device has the function of realizing the first equipment side in the method example, and the function can be realized by hardware or can be realized by executing corresponding software by hardware. The apparatus may include: a page display module 605, an advertisement acquisition module 606, a second acquisition module 607, and a request transmission module 608.

The page display module 605 is configured to display an advertisement order creation page, where the advertisement order creation page includes an advertisement upload entry and a keyword input entry.

And the advertisement acquisition module 606 is configured to acquire an advertisement to be delivered, which is uploaded through the advertisement uploading inlet.

A second obtaining module 607 is configured to obtain at least one basic keyword input in the keyword input entry.

The request sending module 608 is configured to send an advertisement delivery request to a server, where the advertisement delivery request carries the advertisement and at least one basic keyword, and the server is configured to obtain a delivery keyword corresponding to the advertisement based on the basic keyword, determine at least one target delivery object according to the delivery keyword, and deliver the advertisement to each target delivery object, where the number of delivery keywords is greater than the number of basic keywords.

In an alternative embodiment provided based on the embodiment shown in fig. 6B, the apparatus further comprises: an information receiving module, an instruction receiving module, and an instruction transmitting module (not shown in the figure).

The information receiving module is used for receiving the delivery inquiry information sent by the server, wherein the delivery inquiry information carries delivery keywords corresponding to the advertisements, and the delivery inquiry information is used for inquiring whether the advertisements are delivered according to the delivery keywords.

And the instruction receiving module is used for receiving a delivery confirmation instruction for confirming the advertisement delivery according to the delivery keywords.

And the indication sending module is used for sending the delivery confirmation indication to the server.

Referring to fig. 7, a block diagram of a server 700 according to another embodiment of the present invention is shown. The server 700 is used to implement the server-side advertisement delivery method provided in the above-described embodiments.

The server 700 includes a Central Processing Unit (CPU) 701, a system memory 704 including a Random Access Memory (RAM) 702 and a Read Only Memory (ROM) 703, and a system bus 705 connecting the system memory 704 and the central processing unit 701. The server 700 also includes a basic input/output system (I/O system) 706, for aiding in the transfer of information between the various devices within the computer, and a mass storage device 707 for storing an operating system 713, application programs 714, and other program modules 715.

The basic input/output system 706 includes a display 708 for displaying information and an input server 709, such as a mouse, keyboard, etc., for the user to input information. Wherein the display 708 and the input server 709 are coupled to the central processing unit 701 through an input output controller 710 coupled to a system bus 705. The basic input/output system 706 may also include an input/output controller 710 for receiving and processing input from a keyboard, mouse, or electronic stylus, among a plurality of other servers. Similarly, the input output controller 710 also provides output to a display screen, a printer, or other type of output server.

The mass storage device 707 is connected to the central processing unit 701 through a mass storage controller (not shown) connected to the system bus 705. The mass storage device 707 and its associated computer readable media provide non-volatile storage for the server 700. That is, the mass storage device 707 may include a computer readable medium (not shown) such as a hard disk or CD-ROM drive.

The computer readable medium may include computer storage media and communication media without loss of generality. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM, EEPROM, flash memory or other solid state memory technology, CD-ROM, DVD or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage servers. Of course, those skilled in the art will recognize that the computer storage medium is not limited to the one described above. The system memory 704 and mass storage server 707 described above may be collectively referred to as memory.

The server 700 may also operate via a network, such as the internet, connected to a remote computer on the network, in accordance with various embodiments of the present invention. I.e. the server 700 may be connected to the network 712 via a network interface unit 711 connected to the system bus 705, or alternatively, the network interface unit 711 may be used to connect to other types of networks or remote computer systems (not shown).

The memory stores at least one instruction, at least one section of program, a code set or an instruction set, and the at least one instruction, the at least one section of program, the code set or the instruction set is loaded and executed by the processor to realize the advertisement putting method at the server side.

Fig. 8 shows a block diagram of a terminal 800 according to an exemplary embodiment of the present invention. The terminal 800 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion picture expert compression standard audio plane 3), an MP4 (Moving Picture Experts Group Audio Layer IV, motion picture expert compression standard audio plane 4) player, a notebook computer, or a desktop computer. Terminal 800 may also be referred to by other names of user devices, portable terminals, laptop terminals, desktop terminals, and the like.

In general, the terminal 800 includes: a processor 801 and a memory 802.

Processor 801 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 801 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 801 may also include a main processor, which is a processor for processing data in an awake state, also referred to as a CPU (Central Processing Unit ), and a coprocessor; a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 801 may integrate a GPU (Graphics Processing Unit, image processor) for rendering and rendering of content required to be displayed by the display screen. In some embodiments, the processor 801 may also include an AI (Artificial Intelligence ) processor for processing computing operations related to machine learning.

Memory 802 may include one or more computer-readable storage media, which may be non-transitory. Memory 802 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 802 is used to store at least one instruction for execution by processor 801 to implement the first device-side advertising method provided by the method embodiments of the present invention.

In some embodiments, the terminal 800 may further optionally include: a peripheral interface 803, and at least one peripheral. The processor 801, the memory 802, and the peripheral interface 803 may be connected by a bus or signal line. Individual peripheral devices may be connected to the peripheral device interface 803 by buses, signal lines, or a circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 804, a touch display 805, a camera 806, audio circuitry 807, a positioning component 808, and a power supply 809.

Peripheral interface 803 may be used to connect at least one Input/Output (I/O) related peripheral to processor 801 and memory 802. In some embodiments, processor 801, memory 802, and peripheral interface 803 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 801, the memory 802, and the peripheral interface 803 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.

The Radio Frequency circuit 804 is configured to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 804 communicates with a communication network and other communication devices via electromagnetic signals. The radio frequency circuit 804 converts an electrical signal into an electromagnetic signal for transmission, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 804 includes: antenna systems, RF transceivers, one or more amplifiers, tuners, oscillators, digital signal processors, codec chipsets, subscriber identity module cards, and so forth. The radio frequency circuitry 804 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: metropolitan area networks, various generations of mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (Wireless Fidelity ) networks. In some embodiments, the radio frequency circuit 804 may also include NFC (Near Field Communication ) related circuits, which the present invention is not limited to.

The display 805 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display 805 is a touch display, the display 805 also has the ability to collect touch signals at or above the surface of the display 805. The touch signal may be input as a control signal to the processor 801 for processing. At this time, the display 805 may also be used to provide virtual buttons and/or virtual keyboards, also referred to as soft buttons and/or soft keyboards. In some embodiments, the display 805 may be one, providing a front panel of the terminal 800; in other embodiments, the display 805 may be at least two, respectively disposed on different surfaces of the terminal 800 or in a folded design; in still other embodiments, the display 805 may be a flexible display disposed on a curved surface or a folded surface of the terminal 800. Even more, the display 805 may be arranged in an irregular pattern other than rectangular, i.e., a shaped screen. The display 805 may be made of LCD (Liquid Crystal Display ), OLED (Organic Light-Emitting Diode) or other materials.

The camera assembly 806 is used to capture images or video. Optionally, the camera assembly 806 includes a front camera and a rear camera. Typically, the front camera is disposed on the front panel of the terminal and the rear camera is disposed on the rear surface of the terminal. In some embodiments, the at least two rear cameras are any one of a main camera, a depth camera, a wide-angle camera and a tele camera, so as to realize that the main camera and the depth camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize a panoramic shooting and Virtual Reality (VR) shooting function or other fusion shooting functions. In some embodiments, the camera assembly 806 may also include a flash. The flash lamp can be a single-color temperature flash lamp or a double-color temperature flash lamp. The dual-color temperature flash lamp refers to a combination of a warm light flash lamp and a cold light flash lamp, and can be used for light compensation under different color temperatures.

Audio circuitry 807 may include a microphone and a speaker. The microphone is used for collecting sound waves of users and the environment, converting the sound waves into electric signals, inputting the electric signals to the processor 801 for processing, or inputting the electric signals to the radio frequency circuit 804 for voice communication. For stereo acquisition or noise reduction purposes, a plurality of microphones may be respectively disposed at different portions of the terminal 800. The microphone may also be an array microphone or an omni-directional pickup microphone. The speaker is used to convert electrical signals from the processor 801 or the radio frequency circuit 804 into sound waves. The speaker may be a conventional thin film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, not only the electric signal can be converted into a sound wave audible to humans, but also the electric signal can be converted into a sound wave inaudible to humans for ranging and other purposes. In some embodiments, audio circuit 807 may also include a headphone jack.

The location component 808 is utilized to locate the current geographic location of the terminal 800 to enable navigation or LBS (Location Based Service, location-based services). The positioning component 808 may be a positioning component based on the United states GPS (Global Positioning System ), the Beidou system of China, the Granati system of Russia, or the Galileo system of the European Union.

A power supply 809 is used to power the various components in the terminal 800. The power supply 809 may be an alternating current, direct current, disposable battery, or rechargeable battery. When the power supply 809 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, the terminal 800 also includes one or more sensors 810. The one or more sensors 810 include, but are not limited to: acceleration sensor 811, gyroscope sensor 812, pressure sensor 813, fingerprint sensor 814, optical sensor 815, and proximity sensor 816.

The acceleration sensor 811 can detect the magnitudes of accelerations on three coordinate axes of the coordinate system established with the terminal 800. For example, the acceleration sensor 811 may be used to detect components of gravitational acceleration in three coordinate axes. The processor 801 may control the touch display screen 805 to display a user interface in a landscape view or a portrait view according to the gravitational acceleration signal acquired by the acceleration sensor 811. Acceleration sensor 811 may also be used for the acquisition of motion data of a game or user.

The gyro sensor 812 may detect a body direction and a rotation angle of the terminal 800, and the gyro sensor 812 may collect a 3D motion of the user to the terminal 800 in cooperation with the acceleration sensor 811. The processor 801 may implement the following functions based on the data collected by the gyro sensor 812: motion sensing (e.g., changing UI according to a tilting operation by a user), image stabilization at shooting, game control, and inertial navigation.

The pressure sensor 813 may be disposed at a side frame of the terminal 800 and/or at a lower layer of the touch display 805. When the pressure sensor 813 is disposed on a side frame of the terminal 800, a grip signal of the terminal 800 by a user may be detected, and the processor 801 performs left-right hand recognition or shortcut operation according to the grip signal collected by the pressure sensor 813. When the pressure sensor 813 is disposed at the lower layer of the touch display screen 805, the processor 801 controls the operability control on the UI interface according to the pressure operation of the user on the touch display screen 805. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.

The fingerprint sensor 814 is used to collect a fingerprint of a user, and the processor 801 identifies the identity of the user based on the fingerprint collected by the fingerprint sensor 814, or the fingerprint sensor 814 identifies the identity of the user based on the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, the processor 801 authorizes the user to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying for and changing settings, etc. The fingerprint sensor 814 may be provided on the front, back, or side of the terminal 800. When a physical key or vendor Logo is provided on the terminal 800, the fingerprint sensor 814 may be integrated with the physical key or vendor Logo.

The optical sensor 815 is used to collect the ambient light intensity. In one embodiment, the processor 801 may control the display brightness of the touch display screen 805 based on the intensity of ambient light collected by the optical sensor 815. Specifically, when the intensity of the ambient light is high, the display brightness of the touch display screen 805 is turned up; when the ambient light intensity is low, the display brightness of the touch display screen 805 is turned down. In another embodiment, the processor 801 may also dynamically adjust the shooting parameters of the camera module 806 based on the ambient light intensity collected by the optical sensor 815.

A proximity sensor 816, also referred to as a distance sensor, is typically provided on the front panel of the terminal 800. The proximity sensor 816 is used to collect the distance between the user and the front of the terminal 800. In one embodiment, when the proximity sensor 816 detects that the distance between the user and the front of the terminal 800 gradually decreases, the processor 801 controls the touch display 805 to switch from the bright screen state to the off screen state; when the proximity sensor 816 detects that the distance between the user and the front surface of the terminal 800 gradually increases, the processor 801 controls the touch display 805 to switch from the off-screen state to the on-screen state.

Those skilled in the art will appreciate that the structure shown in fig. 8 is not limiting and that more or fewer components than shown may be included or certain components may be combined or a different arrangement of components may be employed.

In an exemplary embodiment, there is also provided a computer readable storage medium having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which are loaded and executed by a processor of an electronic device to implement the server-side advertisement delivery method in the above method embodiment.

In an exemplary embodiment, there is also provided a computer readable storage medium having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, where the at least one instruction, the at least one program, the set of codes, or the set of instructions are loaded and executed by a processor of an electronic device to implement the advertisement delivery method on the first device side in the above method embodiment.

Alternatively, the above-described computer-readable storage medium may be a ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, or the like.

It should be understood that references herein to "a plurality" are to two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. The terms "first," "second," and the like, as used herein, do not denote any order, quantity, or importance, but rather are used to distinguish one element from another.

The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.

The foregoing is illustrative of the present invention and is not to be construed as limiting thereof, but rather, any modification, equivalent replacement, improvement or the like which comes within the spirit and principles of the present invention are intended to be included within the scope of the present invention.

Claims

1. A method of advertising, the method comprising:

receiving an advertisement putting request sent by first equipment, wherein the advertisement putting request carries an advertisement to be put and at least one basic keyword, the basic keyword is used for indicating a classification label corresponding to the advertisement, and the basic keyword is a keyword input or selected by a user of the advertisement when the user initiates the advertisement putting request;

determining the candidate keywords with the association degree meeting preset conditions as a plurality of putting keywords corresponding to the advertisements, wherein the number of the putting keywords is larger than that of the basic keywords, and at least one basic keyword corresponds to the plurality of putting keywords; wherein, the preset conditions include: the association degree is larger than a first preset value, or the association degree is arranged in the first m bits according to the order from high to low, and m is a preset value;

Searching a preset corresponding relation to obtain a release object set corresponding to each release keyword respectively, wherein the preset corresponding relation comprises a corresponding relation between the release keywords and the release object set;

taking the delivery objects included in the delivery object sets respectively corresponding to the delivery keywords as target delivery objects;

and delivering the advertisements to the target delivery objects.

2. The method of claim 1, wherein the obtaining the association degree between the basic keyword and the pre-stored candidate keyword comprises:

the step of determining the candidate keywords with the association degree meeting the preset conditions as a plurality of delivery keywords corresponding to the advertisement comprises the following steps:

3. The method according to claim 1, wherein the method further comprises:

4. The method of claim 3, wherein the extracting, from the text file, the release keyword corresponding to the release object includes:

preprocessing the text file to obtain a plurality of text keywords;

calculating word frequency TF and inverse document frequency IDF respectively corresponding to the text keywords;

5. The method according to any one of claims 1 to 4, further comprising:

sending a delivery inquiry message to the first device, wherein the delivery inquiry message carries a delivery keyword corresponding to the advertisement, and the delivery inquiry message is used for inquiring whether to deliver the advertisement according to the delivery keyword;

After receiving a delivery confirmation instruction returned by the first device, executing the search for a preset corresponding relation to obtain a delivery object set corresponding to each delivery keyword, and taking a delivery object included in the delivery object set corresponding to each delivery keyword as a target delivery object, wherein the delivery confirmation instruction is used for confirming advertisement delivery according to the delivery keywords.

6. A method of advertising, the method comprising:

acquiring an advertisement to be put uploaded through the advertisement uploading inlet and at least one basic keyword input or selected in the keyword input inlet;

sending an advertisement putting request to a server, wherein the advertisement putting request carries the advertisement and at least one basic keyword, and the server is used for acquiring the association degree between the basic keyword and a pre-stored candidate keyword; determining the candidate keywords with the association degree meeting preset conditions as a plurality of putting keywords corresponding to the advertisements, wherein the number of the putting keywords is larger than that of the basic keywords, and at least one basic keyword corresponds to the plurality of putting keywords; wherein, the preset conditions include: the association degree is larger than a first preset value, or the association degree is arranged in the first m bits according to the order from high to low, and m is a preset value; searching a preset corresponding relation to obtain a release object set corresponding to each release keyword respectively, wherein the preset corresponding relation comprises a corresponding relation between the release keywords and the release object set; and taking the delivery objects included in the delivery object sets respectively corresponding to the delivery keywords as target delivery objects, and delivering the advertisements to the target delivery objects.

7. The method of claim 6, wherein after sending the advertisement delivery request to the server, further comprising:

receiving the release inquiry information sent by the server, wherein the release inquiry information carries release keywords corresponding to the advertisements, and the release inquiry information is used for inquiring whether to release the advertisements according to the release keywords;

receiving a delivery confirmation instruction for confirming the advertisement delivery according to the delivery keywords;

and sending the put confirmation indication to the server.

8. An advertising device, the method comprising:

the advertisement delivery system comprises a request receiving module, a first device and a second device, wherein the request receiving module is used for receiving an advertisement delivery request sent by the first device, the advertisement delivery request carries an advertisement to be delivered and at least one basic keyword, the basic keyword is used for indicating a classification label corresponding to the advertisement, and the basic keyword is a keyword input or selected by a deliverer of the advertisement when the advertisement delivery request is initiated;

the first acquisition module is used for acquiring the association degree between the basic keywords and the pre-stored candidate keywords; determining the candidate keywords with the association degree meeting preset conditions as a plurality of putting keywords corresponding to the advertisements, wherein the number of the putting keywords is larger than that of the basic keywords, and at least one basic keyword corresponds to the plurality of putting keywords; wherein, the preset conditions include: the association degree is larger than a first preset value, or the association degree is arranged in the first m bits according to the order from high to low, and m is a preset value;

The object determining module is used for searching a preset corresponding relation to obtain a release object set corresponding to each release keyword respectively, wherein the preset corresponding relation comprises a corresponding relation between the release keywords and the release object set; taking the delivery objects included in the delivery object sets respectively corresponding to the delivery keywords as target delivery objects;

9. An advertising device, the device comprising:

the second acquisition module is used for acquiring at least one basic keyword input or selected in the keyword input inlet;

the request sending module is used for sending an advertisement putting request to a server, wherein the advertisement putting request carries the advertisement and at least one basic keyword, and the server is used for obtaining the association degree between the basic keyword and the pre-stored candidate keywords; determining the candidate keywords with the association degree meeting preset conditions as a plurality of putting keywords corresponding to the advertisements, wherein the number of the putting keywords is larger than that of the basic keywords, and at least one basic keyword corresponds to the plurality of putting keywords; wherein, the preset conditions include: the association degree is larger than a first preset value, or the association degree is arranged in the first m bits according to the order from high to low, and m is a preset value; searching a preset corresponding relation to obtain a release object set corresponding to each release keyword respectively, wherein the preset corresponding relation comprises a corresponding relation between the release keywords and the release object set; and taking the delivery objects included in the delivery object sets respectively corresponding to the delivery keywords as target delivery objects, and delivering the advertisements to the target delivery objects.

10. A server comprising a processor and a memory, wherein the memory stores at least one program that is loaded and executed by the processor to implement the advertising method of any one of claims 1 to 5.

11. A terminal comprising a processor and a memory, wherein the memory stores at least one program, the at least one program being loaded and executed by the processor to implement the advertising method of claim 6 or 7.

12. A computer readable storage medium having stored therein at least one program loaded and executed by a processor to implement the advertising method of any one of claims 1 to 5.

13. A computer-readable storage medium having stored therein at least one program that is loaded and executed by a processor to implement the advertisement delivery method of claim 6 or 7.