KR20200025054A - User device and method for providing advertisement - Google Patents

Abstract

The present invention relates to a server for providing an advertisement. The server for providing an advertisement comprises: an advertisement providing unit searching for a primary interest advertisement based on voice data of a user received from a user terminal and providing the searched primary interest advertisement to the user terminal; a feedback information collection unit collecting user feedback information for the primary interest advertisement from the user terminal; and an advertisement learning unit analyzing the feedback information to learn meaningful advertisements for the user. The advertisement providing unit can search for a secondary interest advertisement based on information on the learned meaningful advertisements and can provide the searched secondary interest advertisement to the user terminal.

Description

Servers, user terminals, and methods for providing advertising {USER DEVICE AND METHOD FOR PROVIDING ADVERTISEMENT}

The present invention relates to a server, a user terminal, and a method for providing an advertisement.

According to a related art advertisement providing method, referring to FIG. 3A, a customer utterance keyword 300 included in voice data received from a user is classified into one interest type 302 of a plurality of interest types, and the classified interest type 302. Ad 304 has been recommended to the user 306.

Since the advertisement providing method recommends the advertisement 304 to the user according to the preset interest type regardless of the user's reaction, the advertisement 304 may not be a meaningful advertisement from the user's point of view.

Japanese Laid-Open Patent Publication No. 2005-309575 (published Nov. 4, 2005)

The present invention is to solve the above-described problems of the prior art, and collects feedback information on the first interest advertisement provided to the user terminal, and analyzes the collected feedback information to learn meaningful advertising, and then learned meaningful advertising The second interest advertisement is searched for based on the information about and provided to the user terminal.

However, the technical problem to be achieved by the present embodiment is not limited to the technical problems as described above, and other technical problems may exist.

As a technical means for achieving the above technical problem, the advertisement providing server for providing an advertisement according to the first aspect of the present invention searches for the first interest advertisement based on the voice data of the user received from the user terminal, An advertisement providing unit providing the searched first interest advertisement to the user terminal; A feedback information collecting unit collecting the feedback information of the user for the first interested advertisement from the user terminal and an advertisement learning unit analyzing the feedback information to learn a meaningful advertisement for the user, wherein the advertisement providing unit The second interest advertisement may be searched based on the learned meaningful advertisement information, and the searched second advertisement may be provided to the user terminal.

A user terminal for providing an advertisement according to the second aspect of the present invention includes a transmission unit for transmitting the voice data received from the user to the advertisement providing server; Receiving a first interest advertisement searched based on the voice data from the advertisement providing server, and receiving an advertisement reproducing unit for playing the received first interest advertisement and feedback information of the user with respect to the first interest advertisement. Including a feedback information collecting unit for collecting, wherein the transmitting unit transmits the feedback information of the user for the collected first advertisement of interest to the advertisement providing server, the advertisement reproduction unit to the meaningful advertisement learned from the feedback information Based on the information about the received second interest advertisement retrieved from the advertisement providing server, it is possible to play the received second interest advertisement.

According to a third aspect of the present invention, a method for providing an advertisement in an advertisement providing server includes: receiving voice data of a user from a user terminal; Retrieving a first interest advertisement based on the received voice data; Providing the searched first interest advertisement to the user terminal; Collecting feedback information of the user on the first interest advertisement from the user terminal; Analyzing the feedback information to learn meaningful advertisements for the user; Retrieving a second interest advertisement based on the learned meaningful advertisement information; And providing the searched second interest advertisement to the user terminal.

The above-described problem solving means are merely exemplary, and should not be construed as limiting the present invention. In addition to the exemplary embodiments described above, there may be additional embodiments described in the drawings and detailed description of the invention.

According to any one of the above-described problem solving means of the present invention, the present invention collects feedback information on the first interest advertisement provided to the user terminal, and after learning the meaningful advertisement by analyzing the collected feedback information, The second interest advertisement may be derived in real time based on the information on the meaningful advertisement.

In addition, the present invention may provide the derived second interest advertisement to the user terminal in a timely manner based on the dialogue context with the user.

Through this, the present invention can provide a customized second interest advertisement that is meaningful to the user to increase the advertising effect.

1 is a block diagram of an advertisement providing system according to an embodiment of the present invention.
2 is a block diagram of an advertisement providing server shown in FIG. 1 according to an embodiment of the present invention.
3A to 3C are diagrams for comparing and explaining a conventional advertisement providing method and the advertisement providing method of the present invention.
4 is a flowchart illustrating an advertisement providing method in an advertisement providing server according to an exemplary embodiment of the present invention.
5 is a block diagram of the user terminal illustrated in FIG. 1 according to an embodiment of the present invention.
6 is a flowchart illustrating an advertisement providing method in a user terminal according to an embodiment of the present invention.

DETAILED DESCRIPTION Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. As those skilled in the art would realize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present invention. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

Throughout the specification, when a part is "connected" to another part, it includes not only "directly connected" but also "electrically connected" with another element in between. . In addition, when a part is said to "include" a certain component, this means that it may further include other components, except to exclude other components unless otherwise stated.

In the present specification, the term 'unit' includes a unit realized by hardware, a unit realized by software, and a unit realized by both. In addition, one unit may be realized using two or more pieces of hardware, and two or more units may be realized by one piece of hardware.

Some of the operations or functions described as being performed by the terminal or the device in the present specification may instead be performed in a server connected to the terminal or the device. Similarly, some of the operations or functions described as being performed by the server may be performed by a terminal or a device connected to the server.

Hereinafter, with reference to the accompanying configuration diagram or processing flow chart, it will be described in detail for the practice of the present invention.

1 is a block diagram of an advertisement providing system according to an embodiment of the present invention.

Referring to FIG. 1, the advertisement providing system may include an advertisement providing server 100 and a user terminal 110. However, since the advertisement providing system of FIG. 1 is only one embodiment of the present invention, the present invention is not limitedly interpreted through FIG. 1 and may be configured differently from FIG. 1 according to various embodiments of the present invention.

In general, each component of the advertisement providing system of FIG. 1 is connected through a network (not shown). A network refers to a connection structure capable of exchanging information between nodes such as terminals and servers, and includes a local area network (LAN), a wide area network (WAN), and the Internet (WWW: World). Wide Web), wired / wireless data communication network, telephone network, wired / wireless television communication network, and the like. Examples of wireless data networks include 3G, 4G, 5G, 3rd Generation Partnership Project (3GPP), Long Term Evolution (LTE), World Interoperability for Microwave Access (WIMAX), Wi-Fi, Bluetooth communication, Infrared communication, Ultrasound Communication, visible light communication (VLC), liFi (LiFi) and the like, but are not limited thereto.

The user terminal 110 may transmit the voice data received from the user to the advertisement providing server 100.

The user terminal 110 may include, for example, an AI voice recognition device, a set-top box, a notebook computer, a desktop PC, as well as a mobile terminal capable of wired and wireless communication. The mobile terminal is a wireless communication device that guarantees portability and mobility, and is not only a smart phone, a tablet PC, and a wearable device, but also Bluetooth, Bluetooth, Low Energy, NFC, RFID, Ultrasonic, Infrared, and Wi-Fi. It may include a variety of devices equipped with a communication module, such as WiFi (WiFi), LiFi (LiFi). However, the user terminal 110 is not limited to those illustrated above.

The advertisement providing server 100 may search for the first interest advertisement based on the voice data of the user received from the user terminal 110 and provide the searched first interest advertisement to the user terminal 110.

The user terminal 110 may receive the first interest advertisement from the advertisement providing server 100 and play the received first interest advertisement.

The user terminal 110 may collect feedback information of the user on the first advertisement of interest and transmit the collected feedback information of the user to the advertisement providing server 100. Here, the feedback information may include, for example, at least one or more of positive feedback information, negative feedback information, and additional requirement information.

The advertisement providing server 100 may learn meaningful advertisements for the user by analyzing the feedback information of the user received from the user terminal 110.

The advertisement providing server 100 may search for the second interest advertisement based on the learned meaningful advertisement information, and provide the searched second interest advertisement to the user terminal 110.

The user terminal 110 may receive the second interest advertisement from the advertisement providing server 100 and play the received second interest advertisement.

Hereinafter, the operation of each component of the advertisement providing system of FIG. 1 will be described in more detail.

2 is a block diagram of the advertisement providing server 100 shown in FIG. 1 according to an embodiment of the present invention.

2, the advertisement providing server 100 includes an advertisement providing unit 200, a feedback information collecting unit 210, an advertisement learning unit 220, an interested advertisement type deriving unit 230, and a managing unit 240. can do. However, the advertisement providing server 100 shown in FIG. 2 is only one implementation example of the present invention, and various modifications are possible based on the components shown in FIG. 2.

The interest advertisement type deriving unit 230 may convert the voice data of the user received from the user terminal 110 into text and then derive the interest advertisement type of the user from the text. For example, the interest advertisement type deriving unit 230 receives voice data including a search query and user context information (eg, user's age, gender, current weather, user's recent search data, etc.) from the user. The advertisement type of the user's interest may be derived from the corresponding voice data and the user's context information.

The interest advertisement type deriving unit 230 may derive the interest advertisement type of the user from the voice data of the user received from the user terminal 110 based on the preset interest advertisement type table. Here, the preset interest ad type table may include, for example, mapped texts (including related words belonging to each interest ad) for each interest ad type, and interest advertisement information (recommendations belonging to each ad type) for each interest ad type. It may be a table that maps (including ads). For example, the first interest advertisement type (eg, clothing) included in the preset interest advertisement type table is mapped to text related to the garment such as 'clothes, pants, coat, blouse,' and the like. (E.g., shoes) is mapped to text related to the shoes, such as 'shoes, sneakers, slippers, and the like.'

In addition, the preset interest advertisement type table may have different weights for each interest advertisement type. For example, a first weight may be set for the first type of interest advertisement, and a second weight may be set for the second type of interest advertisement. In addition, in the preset interest advertisement type table, the weight for each interest advertisement type may be set differently for each user, for example. For example, the first interest advertisement type for the first user may be set to the first weight, and the first interest advertisement type for the second user may be set to the second weight.

When the interest advertisement type deriving unit 230 receives the voice data from the user terminal 110, the interested advertisement type derivation unit 230 may classify and store the received voice data based on a preset interest advertisement type table. Specifically, the interest advertisement type deriving unit 230 classifies the user's voice data into the interest advertisement type to which the predefined text belongs, when the voice data of the user exists in the predefined text of the preset interest advertisement type table. The user may derive the user's interest advertisement type by applying the weight and the weight of the advertisement type of the advertisement classified with the voice data. For example, the interest advertisement type deriving unit 230 may refer to the first user as the advertisement type of interest associated with 'clothing' when the first user has a high proportion of speech related to clothing (eg, clothes, pants, coat, etc.). Can be classified.

The manager 240 may classify the plurality of users by the types of interest advertisements corresponding to each of the plurality of users, and manage the plurality of users by the classified types of interest advertisements.

In detail, the manager 240 may classify the interest advertisement type of each user by the identifier of each user based on the voice data input from the plurality of users, and may group and manage the plurality of users by each classified interest advertisement type. have. The manager 240 may generate and manage a group ID according to the same type of advertisement of interest. In addition, the manager 240 may manage the interest advertisement type and the interest advertisement information for each interest advertisement type group ID.

The manager 240 may interwork with an advertiser advertisement matching system (not shown), and store the advertisement material CM provided by the advertiser for each advertisement type of the preset interest advertisement type table in the advertisement database (not shown).

The advertisement providing unit 200 may search for the first interest advertisement based on the voice data of the user received from the user terminal 110.

The advertisement provider 200 may search for the first interest advertisement based on the voice data of the user and the user's interest advertisement type derived from the preset interest advertisement type table. For example, when the user belongs to the type of interest advertisement related to 'travel', the advertisement provider 200 may search for a first interest advertisement including 'travel-related discount information'.

The advertisement providing unit 200 searches for the first interest advertisement matching the derived interest advertisement type of the user based on the interest advertisement information for each interest advertisement type included in the preset interest advertisement type table, or a creative database (not shown). You can also search from). Here, the advertisement material belonging to the interest advertisement type is stored in the advertisement database (not shown) for each interest advertisement type included in the preset interest advertisement type table.

The advertisement providing unit 200 extracts the interest advertisement type group associated with the interest advertisement type of the user from among the plurality of interest advertisement type groups defined by the management unit 240, and the interest advertisement information mapped to the extracted interest advertisement type group. The first interest advertisement may be searched based on the first interest advertisement, and the searched first interest advertisement may be provided to the user terminal 110.

After providing the first interest advertisement to the user terminal 110, the feedback information collecting unit 210 may collect feedback information of the user on the first interest advertisement from the user terminal 110. Here, the feedback information may include, for example, at least one or more of positive feedback information, negative feedback information, and additional requirement information. In this case, the positive feedback information may include, for example, positive voice utterance for the first interest advertisement, such as 'yes, ok, yes, yes, okay'. The negative feedback information may include, for example, negative speech for the primary interest advertisement, such as 'no, no, no, etc.'. The additional requirement information may include, for example, voice utterances that require advertisements other than the primary interest advertisement (eg, 'nothing else', utterances that include similar advertisement content requests, etc.).

The advertisement learner 220 may derive meaningful type information of the advertisement for the user by analyzing at least one of positive feedback information, negative feedback information, and additional requirement information included in the collected feedback information.

The advertisement learning unit 220 may analyze the user's response to the first interest advertisement by analyzing the collected feedback information, and may learn a meaningful advertisement for the user based on the analyzed user's response. For example, the advertisement learning unit 220 classifies the user's response to the first advertisement of interest as 'positive response', 'negative response', and the like based on the speech utterance included in the collected feedback information. The reaction can be analyzed.

The advertisement learning unit 220 may further analyze the dialogue context of the user based on the collected feedback information, and derive meaningful type information of the advertisement for the user based on the analyzed dialogue context. For example, when the 'clothing-related advertisement' is provided as the first interest advertisement to the user terminal 110, feedback information (eg, 'no shoes information?') Requesting an advertisement different from the first interest advertisement is provided. Once collected, the advertisement learner 220 may analyze the user's dialogue context between the first interest advertisement provided to the user terminal 110 and the feedback information.

The advertisement providing unit 200 may search for the second interest advertisement based on the learned meaningful advertisement information, and provide the searched second interest advertisement to the user terminal 110. For example, after providing an advertisement recommendation query message (eg, 'Would you like to receive travel-related discount information?') Related to 'travel-related discount information' as the first interest advertisement to the user terminal 110, the user terminal When the positive feedback information is received from the 110, the advertisement providing unit 200 may provide the user terminal 110 with a second interest advertisement including “travel agency advertisement with detailed travel information”.

The advertisement providing unit 200 searches for the second interest advertisement based on the meaningful advertisement type information from the preset interest advertisement type table when there is meaningful advertisement type information in the preset interest advertisement type table, and retrieves the searched second advertisement. The car interest advertisement may be provided to the user terminal 110. For example, the advertisement providing unit 200 may include the interest advertisement information mapped to the interest advertisement type related to the meaningful advertisement from the preset interest advertisement type table when the interest advertisement type related to the meaningful advertisement exists in the preset interest advertisement type table. The extracted interest advertisement information may be provided to the user terminal 110 as the second interest advertisement.

The advertisement providing unit 200 searches for the second interest advertisement corresponding to the meaningful advertisement type information from the creative database (not shown) when the meaningful advertisement type information does not exist in the preset advertisement type table. The searched second interest advertisement may be provided to the user terminal 110.

Thereafter, the advertisement learning unit 220 analyzes the user's response to the second interest advertisement based on the feedback information of the user according to the recommendation of the second interest advertisement to the user terminal 110, and analyzes the user's response. Can learn meaningful advertisements for the user.

The advertisement providing unit 200 may search for the third interest advertisement based on the learned meaningful advertisement information, and provide the searched third interest advertisement to the user terminal 110. The present invention can provide an advertisement optimized to the user by providing an advertisement by gradually reflecting the user's feedback as described above.

On the other hand, those skilled in the art, the advertisement providing unit 200, the feedback information collecting unit 210, the advertisement learning unit 220, the interested advertisement type deriving unit 230 and the management unit 240 are each implemented separately or one of them It will be fully understood that the above can be implemented in an integrated manner.

3b and 3c are diagrams for explaining the advertisement providing method of the present invention.

Referring to FIG. 3B, the advertisement providing server 100 recommends the first interest advertisement 308 to the user terminal 110, and then feedbacks the first interest advertisement 308 collected from the user terminal 110. Based on the information 310, a user's response to the first interest advertisement 308 (eg, a positive response, a negative response, an additional demand response, etc.) or a dialogue context may be analyzed.

Then, the advertisement providing server 100 learns what is the meaningful advertisement 321 for the user based on the analyzed user's response or dialogue context, and based on the type information of the learned meaningful advertisement, the second interest advertisement The second interest advertisement 314 may be provided to the user terminal 110 in a timely manner according to the dialogue context of the user.

Referring to FIG. 3C, when the advertisement providing server 100 receives voice data 316 including a question about the weather from the user terminal 110, the first interest advertisement 318 based on the voice data 316. ) (Eg, clothing advertisements related to weather) and provide the user terminal 110 with an answer to the weather together with the retrieved first interest advertisement 318.

Thereafter, the advertisement providing server 100 may collect feedback information 320 (eg, 'Yes, I want to travel or go') for the first interest advertisement 318 from the user terminal 110.

The advertisement providing server 100 may analyze the collected feedback information 320 to learn what the advertisement is meaningful to the user.

The advertisement providing server 100 may derive meaningful type information of the advertisement for the user based on the analyzed user's response and the dialogue context from the collected feedback information 320. For example, the advertisement providing server 100 extracts text included in the feedback information 320 (eg, 'done', 'travel'), and negative feedback on the first interest advertisement (eg, from the extracted text). , 'Done'), and extract the type information (eg, 'travel') of the advertisement that the user considers significant.

The advertisement providing server 100 searches for the second interest advertisement 322 (eg, 'travel related advertisement') based on the derived meaningful type information of the advertisement, and searches the searched second interest advertisement 322 for the user terminal. 110 may be provided.

4 is a flowchart illustrating an advertisement providing method in the advertisement providing server 100 according to an embodiment of the present invention.

Referring to FIG. 4, in operation S401, the advertisement providing server 100 may receive voice data of the user from the user terminal 110.

In operation S403, the advertisement providing server 100 may search for a first advertisement of interest based on the received voice data.

In operation S405, the advertisement providing server 100 may provide the searched first interest advertisement to the user terminal 110.

In operation S407, the advertisement providing server 100 may collect feedback information of the user for the first interest advertisement from the user terminal 110.

In operation S409, the advertisement providing server 100 may learn feedback about the advertisement by analyzing the feedback information.

In operation S411, the advertisement providing server 100 may search for the second interest advertisement based on the learned meaningful advertisement information.

In operation S413, the advertisement providing server 100 may provide the searched second interest advertisement to the user terminal. In addition, the advertisement providing server 100 collects feedback information of the user for the second interest advertisement from the user terminal 110, and analyzes the feedback information for the second interest advertisement in step S409, thereby meaningful advertising for the user. Can learn.

Although not shown in FIG. 4, in operation S409, the advertisement providing server 100 analyzes at least one of positive feedback information, negative feedback information, and additional requirement information included in the collected feedback information to be a meaningful type of advertisement for the user. Information can be derived.

Although not shown in FIG. 4, in operation S409, the advertisement providing server 100 further analyzes the user's conversation context based on the collected feedback information, and derives meaningful advertisement type information for the user based on the analyzed conversation context. can do.

In the above description, steps S401 to S413 may be further divided into additional steps or combined into fewer steps, according to an embodiment of the present invention. In addition, some steps may be omitted as necessary, and the order between the steps may be changed.

5 is a block diagram of the user terminal 110 shown in FIG. 1 according to an embodiment of the present invention.

Referring to FIG. 5, the user terminal 110 may include a transmitter 500, an advertisement playback unit 510, and a feedback information collection unit 520. However, the user terminal 110 shown in FIG. 5 is just one implementation example of the present invention, and various modifications are possible based on the components shown in FIG. 5.

The transmitter 500 may transmit the voice data received from the user to the advertisement providing server 100. For example, the transmitter 500 may transmit voice data including a search query received from the user to the advertisement providing server 100. In addition, the transmitter 500 transmits the voice data of the user's interests and the user's situation information (eg, the user's age and gender, current weather information, the user's recent search data, etc.) to the advertisement providing server 100. Can be.

The advertisement playback unit 510 may receive the first interest advertisement searched based on the voice data of the user from the advertisement providing server 100 and play the received first interest advertisement. Here, the first interest advertisement may be, for example, a user derived based on the weight and weight of at least one interest advertisement type among at least one interest advertisement type to which the user's voice data is matched in the preset interest advertisement type table. May be an advertisement searched based on the type of advertisement of interest. The first interest advertisement may be, for example, an advertisement searched based on the interest advertisement information mapped to the interest advertisement type group associated with the interest advertisement type of the user among the predefined plurality of interest advertisement type groups.

Here, the preset interest ad type table may include, for example, mapped texts (including related words belonging to each interest ad) for each interest ad type, and interest advertisement information (recommendations belonging to each ad type) for each interest ad type. It may be a table that maps (including ads).

The feedback information collecting unit 520 may collect feedback information of the user for the first interest advertisement. Here, the feedback information may include, for example, positive feedback information (eg, speech utterance including 'yes, ok, yes, yes, okay', etc.), negative feedback information (eg, 'no, ok, no', etc.). It may include at least one of a voice utterance including) and additional requirement information (eg, a voice utterance including 'nothing else?', Etc.).

The transmitter 500 may transmit the feedback information of the user on the collected first interest advertisement to the advertisement providing server 100.

The advertisement playback unit 510 may receive the second interest advertisement searched from the advertisement providing server 100 based on the information on the meaningful advertisement learned from the feedback information of the user, and may play the received second interest advertisement. . Here, the learned meaningful advertisement information may include information on the type of the meaningful advertisement for the user derived based on the feedback information of the user. The information about the learned meaningful advertisements may include type information of meaningful advertisements for the user derived from the user's response or dialogue context analyzed based on the collected feedback information.

Meanwhile, those skilled in the art will fully understand that each of the transmission unit 500, the advertisement playback unit 510, and the feedback information collection unit 520 may be implemented separately or one or more of them may be integrated.

6 is a flowchart illustrating a method for providing an advertisement in the user terminal 110 according to an embodiment of the present invention.

Referring to FIG. 6, in operation S601, the user terminal 110 may transmit voice data input from the user to the advertisement providing server 100.

In operation S603, the user terminal 110 may receive the first interest advertisement searched based on the voice data of the user from the advertisement providing server 100 and play the received first interest advertisement.

In operation S605, the user terminal 110 may collect feedback information of the user for the first interest advertisement. Here, the feedback information of the user may include, for example, at least one of positive feedback information, negative feedback information, and additional requirement information.

In operation S607, the user terminal 110 may transmit user feedback information about the collected first interest advertisement to the advertisement providing server 100.

In operation S609, the user terminal 110 may receive the searched second interest advertisement from the advertisement providing server 100 based on the feedback information of the user, and may play the received second interest advertisement. Here, the second interest advertisement may be an advertisement searched based on the information about the meaningful advertisement learned from the feedback information of the user.

In the above description, steps S601 to S609 may be further divided into additional steps or combined into fewer steps, according to an embodiment of the present invention. In addition, some steps may be omitted as necessary, and the order between the steps may be changed.

An embodiment of the present invention may also be implemented in the form of a recording medium including instructions executable by a computer, such as a program module executed by the computer. Computer readable media can be any available media that can be accessed by a computer and includes both volatile and nonvolatile media, removable and non-removable media. In addition, computer readable media may include all computer storage media. Computer storage media includes both 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.

The foregoing description of the present invention is intended for illustration, and it will be understood by those skilled in the art that the present invention may be easily modified in other specific forms without changing the technical spirit or essential features of the present invention. will be. Therefore, it should be understood that the embodiments described above are exemplary in all respects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is shown by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention. .

100: ad serving server
110: user terminal
200: advertisement provider
210: feedback information collection unit
220: advertising learning unit
230: Interest advertising type derivation unit
240: management
500: transmission unit
510: advertising playback unit
520: feedback information collecting unit

Claims (18)

In the advertisement providing server for providing an advertisement,
An advertisement providing unit for searching for a first interest advertisement based on voice data of a user received from a user terminal and providing the searched first interest advertisement to the user terminal;
A feedback information collecting unit collecting feedback information of the user for the first interest advertisement from the user terminal;
Including an advertisement learning unit for analyzing the feedback information to learn a meaningful advertisement for the user,
The advertisement providing unit
Searching for a second interest advertisement based on the learned meaningful advertisement information, and providing the searched second interest advertisement to the user terminal.
The method of claim 1,
And an interest advertisement type deriving unit configured to derive the interest advertisement type of the user from the voice data based on a preset interest advertisement type table.
The method of claim 2,
And a management unit to classify a plurality of users by types of interest advertisements corresponding to each of the plurality of users, and to manage the plurality of users by the classified interest advertisement types.
The method of claim 2,
The advertisement providing unit
And provide the first interest advertisement matching the type of interest advertisement of the user to the user terminal.
The method of claim 2,
The advertisement providing unit
Extract an interest ad type group associated with the interest ad type of the user from a plurality of predefined interest ad type groups,
And providing the first interest advertisement to the user terminal based on the interest advertisement information mapped to the extracted interest advertisement type group.
The method of claim 1,
The advertising learning unit
And analyzing at least one of positive feedback information, negative feedback information, and additional requirement information included in the collected feedback information to derive meaningful type information of the advertisement for the user.
The method of claim 6,
The advertising learning unit
And further analyzing the dialogue context of the user based on the collected feedback information, and deriving meaningful type information of the advertisement for the user based on the analyzed dialogue context.
The method of claim 7, wherein
The advertisement providing unit
And providing the searched second interest advertisement to the user terminal based on the derived meaningful type information of the advertisement.
In the user terminal to play the advertisement,
A transmission unit which transmits the voice data received from the user to the advertisement providing server;
An advertisement reproducing unit which receives a first interest advertisement searched based on the voice data from the advertisement providing server and reproduces the received first interest advertisement;
Including a feedback information collecting unit for collecting the feedback information of the user for the first advertisement of interest,
The transmission unit transmits the feedback information of the user with respect to the collected first advertisement of interest to the advertisement providing server,
The advertisement playback unit
And receiving, from the advertisement providing server, a second interest advertisement searched based on the information on the meaningful advertisement learned from the feedback information, and playing the received second interest advertisement.
The method of claim 9,
The interest advertisement type of the user is derived from the voice data based on a preset interest advertisement type table.
The method of claim 10,
Wherein the first interest advertisement is an advertisement searched based on the type of interest advertisement of the user.
The method of claim 10,
The first interest advertisement is
And a searched advertisement based on the interest advertisement information mapped to the interest advertisement type group associated with the interest advertisement type of the user among a plurality of predefined interest advertisement type groups.
The method of claim 9,
The feedback information includes at least one of positive feedback information, negative feedback information, and additional requirement information.
The method of claim 13,
Information about the meaningful advertising learned above
And the type information of the meaningful advertisement for the user derived based on the feedback information.
The method of claim 13,
Information about the meaningful advertising learned above
And the type information of the meaningful advertisement for the user derived from the dialogue context analyzed based on the collected feedback information.
In the method of providing an advertisement in the ad serving server,
Receiving voice data of a user from a user terminal;
Searching for a first interest advertisement based on the received voice data;
Providing the searched first interest advertisement to the user terminal;
Collecting feedback information of the user on the first interest advertisement from the user terminal;
Analyzing the feedback information to learn meaningful advertisements for the user;
Retrieving a second interest advertisement based on the learned meaningful advertisement information; And
And providing the searched second interest advertisement to the user terminal.
The method of claim 16,
Learning meaningful ads for the user
And analyzing at least one of positive feedback information, negative feedback information, and additional requirement information included in the collected feedback information to derive meaningful type information of the advertisement for the user.
The method of claim 17,
Learning meaningful ads for the user
And further analyzing the dialogue context of the user based on the collected feedback information, and deriving meaningful type information of the advertisement for the user based on the analyzed dialogue context.

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