KR20090033989A - Method for advertising local information based on location information and system for executing the method - Google Patents

Abstract

A method for advertising local information based on location information and a system for performing the same are provided to supply local information advertisement contents corresponding to interesting information of a user according to a position of the user by associating with a mobile apparatus that the user carries, thereby realizing segmented target advertisements. A local information advertisement system collects interesting information of a user through various methods(S110). A local information advertisement system searches location information of the user by associating with a mobile apparatus that the user carries(S130). The local information advertisement system provides local information advertisement contents of an area corresponding to a current location of the user searched through the mobile apparatus. The local information advertisement system transmits the contents to the mobile apparatus only if the contents are local information advertisement contents corresponding to the collected interesting information of the user(S150).

Description

Local information advertising method based on location information and a system for performing the method {METHOD FOR ADVERTISING LOCAL INFORMATION BASED ON LOCATION INFORMATION AND SYSTEM FOR EXECUTING THE METHOD}

The present invention relates to a local information advertising method, and more particularly, to a local information advertising method and system for providing various contents for local information advertising based on LBS.

Today, with the rapid development of communication networks such as the Internet, information retrieval through communication networks is becoming very common. The most common search service method performed in an information retrieval system is a keyword method. An information retrieval system providing such a keyword retrieval service, when a keyword is input from a user, a search result including the keyword (for example, a web site including the keyword, an article including the keyword, and a file name including the keyword). Provide an image to the user terminal).

That is, according to a conventional keyword search service method and an information retrieval system for performing the method, one or more contents are provided as a list of search results for a specific keyword input from a user terminal.

As keyword search becomes more frequent, new advertisement methods such as inserting an advertisement related to a search word into a search result or providing the search list in association with each other have been in the spotlight. Among them, keyword advertisement is an advertisement type in which an advertiser exclusively exposes an advertisement only to a search result page when a user searches for a keyword including a keyword after purchasing a specific keyword. Since such keyword advertising can only show the contents of the advertisement to people who are interested in a particular product or issue, it is possible to increase the targeted advertisement effect and to increase the clickthrough rate of the advertisement.

Existing advertising method has a problem of providing the advertisement content limited to the keyword search advertising method because it recommends only the advertisement matching the keyword input by the user by simply exposing the advertisement corresponding to each keyword for each keyword.

That is, the conventional advertising method is based on an information retrieval system, and has a limitation in satisfying various needs of the advertisement content or providing various contents corresponding to the user's interest.

The present invention provides a method and system for advertising local information based on location information that can provide various contents corresponding to a user's interest in a new form of advertising.

The present invention provides a method and system for advertising local information based on location information that can provide targeted advertisements that are segmented based on user behavior such as search, purchase, and content search on the web as well as simple interest information of the user. do.

The present invention provides a method and system for advertising local information based on location information that can provide various contents according to local advertisements based on the location information of the user in conjunction with a mobile device.

The present invention includes the steps of collecting interest information of the user; Retrieving location information of the user from the mobile device of the user; And providing the local information advertisement content corresponding to the collected interest information to the mobile device according to the location information of the user.

In the method of advertising local information of the present invention, collecting interest information of the user may include determining a related category of a search keyword input by the user on the web for the purpose of product purchase or search, and determining the determined related category. And extracting the user's interest keyword list based on the user's interest keyword list.

In the local information advertising method of the present invention, the collecting of interest information of the user may include recording a keyword search history on the web of the user and extracting a user's interest keyword list based on the keyword search history. And setting the extracted interest keyword list as interest information of the corresponding user.

In the local information advertising method of the present invention, the collecting of interest information of the user may include directly inputting a desired item for the local information content to be provided by the user, and inputting the desired item to the user's interest. It may also include setting the information.

In the local information advertising method of the present invention, transmitting the local information content corresponding to the user's interest information to the mobile device of the user, when using the navigation map service through the mobile device corresponding to the interest information Local information advertising content may be provided to match on the navigation map.

In the local information advertising method of the present invention, transmitting the local information advertising content corresponding to the user's interest information to the mobile device of the user, the area corresponding to the interest information when using a text service through the mobile device An information advertisement content may be provided in the form of the text service, and a road guide service for guiding a location of an offline store that is an advertisement target of the local information advertisement content may be provided at the request of the user.

In addition, the present invention provides a location query server for querying the location information of the mobile device carried by the user; And an advertisement server that collects the user's interest information and provides local information advertisement content corresponding to the collected interest information to the mobile device according to the location information of the mobile device. .

In the local information advertising system of the present invention, the advertisement server, the interest information analysis unit for collecting user's interest information, member information allowing the reception of the local information advertising content, and storing interest information for each member It includes a member information database for, and the advertising database for storing the regional information advertising content for each region of interest information for each region.

The local information advertising method and system of the present invention can realize segmented target advertisement by providing local information advertising content corresponding to the user's interest information according to the current location of the user in conjunction with the mobile device carried by the user.

That is, the present invention can effectively provide advertisement content for each region corresponding to the user's actual interest by providing a new advertisement service linked with the user's location information.

Hereinafter, with reference to the accompanying drawings will be described a method for advertising local information based on location information and a system for performing the method according to the present invention.

The local information advertising system according to the present invention provides an advertisement method for providing a local information advertisement corresponding to user's interest information, in particular, a local information advertisement of a specific region according to the user's location information.

To this end, the local information advertising system of the present invention monitors the search keyword or keyword search history used by the user for the purpose of purchasing or searching on the web in connection with a web server providing a keyword search service and based on the user's interest Information can be collected.

In particular, the local information advertising system of the present invention by interlocking with the mobile device that the user carries the current location of the user and by providing the local information advertisement of the corresponding area corresponding to the user's interest information to the mobile device and the interest information and Can provide targeted advertisements broken down by region.

Referring to FIG. 1, a method of advertising local information based on location information will be described in detail. 1 is a view showing the entire process of a local information advertising method according to the present invention.

The local information advertising system of the present invention provides local information advertising content corresponding to the user's interest information according to the user's location information in association with the mobile device carried by the user.

To this end, it is preferable that a user agrees to receive local advertising content on a local information advertising system and inputs information (eg, an identification number) of a mobile device for receiving the local advertising content.

In addition, the local information advertising system of the present invention preferably divides the category of the local information advertising content by region and interest information, and stores and manages the content according to a predetermined region and interest information.

In operation S110, the local information advertising system collects user's interest information through various methods, such as analyzing information of interest input directly by the user or recent log data of the user on the web.

In operation S130, the local information advertising system searches for the user's location information in association with the mobile device that the user carries.

In step S150, the local information advertising system provides local advertisement information of the area corresponding to the current location of the user searched through the mobile device, and in particular, the area corresponding to the user's interest information collected in the step S110. Only information advertising content is transmitted to the mobile device.

The method of collecting interest information of the user in the step S110 may be as follows.

First, the user may directly input a desired item for the local information advertisement content to be received from the user, and set the input desired item as the user's interest information.

Second, the user's interest information may be collected from the related category of the search keyword used by the user on the web in conjunction with a web server that provides a keyword search service.

Third, the user's interest information may be collected using the latest log of the user according to the keyword search history on the web in conjunction with a web server that provides a keyword search service.

Among methods of collecting interest information of a user, a method of collecting interest information using the related category will be described in detail.

2 is a diagram illustrating a process of collecting interest information using an associated category.

At least one related keyword associated with a search keyword input by a user on the web is acquired for the purpose of product purchase or search (S201). The association keyword may be obtained based on the degree of association between words.

A method of measuring numerical association with respect to association between words will be described in detail.

To measure the degree of association between the words, word statistics information is obtained through a word included in a document set, a document, a word classification for the word, or a document classification for the document.

Subsequently, the obtained word statistical information is standardized. At this time, the word statistical information may be standardized into a multidimensional vector set, a real type random variable set, a combined probability distribution of random variables, or a discrete random variable set.

The word statistical information can be formulated using any one of the following methods (1) to (4).

(1) setting the word, the document, the word classification or the document classification as a column of the multidimensional vector set having independent respective dimensions of the multidimensional space, and mapping the words to the vectors of the multidimensional space, respectively. The word statistics information is formulated by setting as rows of the multidimensional vector set.

(2) set the word, the document, the word classification, or the document classification as a column of the real type random variable set, and associate the word with a random variable each having a real value to perform a row of the real type random variable set The word statistics information is formulated by setting as.

(3) The formalization method of the combined probability distribution includes the number of documents in which two words appear together for each word pair for the word, the number of documents in which both words do not appear, and the document in which the two words appear separately. Based on the number of word-word combinations, the word probability information is formed by generating a joint probability distribution of random variables corresponding to each word pair. At this time, a corresponding probability probability distribution may exist for each word pair, and the random variable may be defined in an event space of rows and columns including only occurrences or non-occurrences of the word.

(4) A formalization method to a discrete random variable set sets the word as a column of a discrete random variable set to mean each independent event in the event space where a random variable is defined, and sets the word to mean a discrete random variable. The word statistics information is formalized by setting as rows of a random variable set. The discrete random variable may be generated using a crossover frequency, which is the number of documents in which the word appears like other words, and each frequency value of the discrete random variable set is one word (row) present in an arbitrary document. Corresponds to the probability that there are other words (columns) for.

The word association between the words is measured based on the standardized word statistical information. In this case, the multi-dimensional vector if set on the basis of the word statistics structured as, by calculating Im bus L _p, cosine coefficient, the expansion die coefficient, expanded jacquard coefficient, or correlation between the two vectors of the multi-dimensional vector set of the It can be measured as word association.

On the other hand, when based on the word statistical information formulated in the set of real-type random variable, it is possible to calculate the correlation coefficient or consistency for the two random variables of the real-type random variable set can be measured as the word association degree.

In addition, when based on the word statistical information formulated by the joint probability distribution, the jacquard coefficient, dice coefficient, odds ratio, mutual information, or event-specific mutual information is calculated by using the joint probability distribution for two random variables. It can be measured as word association.

Finally, in the case of the word statistical information formulated into the discrete random variable set, each word included in the column of the discrete random variable set is set as each independent event in the event space in which the random variable is defined, and the discrete random variable set Each word included in may be set as a discrete random variable, and the word association may be measured using the discrete random variable set.

As such, word frequency information is generated by measuring frequencies according to various features among words, documents, word classifications or document classifications associated with the document set, and the word statistical information is formalized using vectors, random variables, and combined probability distributions. By interpreting, it is possible to measure the numerical association of words with respect to the relationships between the words. In addition, by using the crossover frequency between the words as a set of discrete random variables, it is also possible to measure asymmetric word associations between the words.

The related keywords associated with the search keyword may be obtained based on the degree of association between the words measured through the word association measure.

Thereafter, a category is classified for each of the related keywords obtained in the step S201 (S202). The method of classifying categories for each of the related keywords may include purchase data of an advertiser who purchases an ad word (hereinafter referred to as “advertiser data”) or search data of a user in a search engine or a shopping site (hereinafter referred to as “user data”). Is called).

In this case, the category classification based on the advertiser data applies the principle that the same advertiser purchases the advertisement word of the same category. On the other hand, the category classification based on the user data applies a method in which a user inputs a search keyword through a search engine or a shopping site and designates the category most selected as the category of the corresponding word.

A category association degree for the corresponding related keyword is calculated for the category classified for each related keyword in step S202 (S203).

In this case, when the categories are classified by the advertiser data, 10 to 20 advertisement words are manually selected and input for each category, and all remaining advertisement words are assigned to a specific category according to the above principle. By calculating the probability of belonging can be calculated by the degree of association by category.

On the other hand, when categorizing a category by the user data, the degree of relevance for each category may be calculated by calculating a probability that users select a specific category as a category of the search keyword from a search result for the search keyword.

An association category corresponding to the search keyword may be determined based on the association degree for each category calculated in the step S203 (S204).

3 is a diagram illustrating a related keyword and a category classification table as an example of a search keyword corresponding to a 'camera' to explain a process of classifying a category by a related keyword and calculating a category association degree.

As a word associated with a search keyword of the camera 301, a number of related keywords 302, such as a digital camera, a lens, a tripod, and a polaroid camera, may be determined according to the degree of association between words.

Then, the category 303 for each of the related keywords 302 is classified using the advertiser data or the user data. In this case, at least one category 303 exists for one related keyword 302, and each category has a probability, that is, an association degree 304, determined by the advertiser data or the user data.

For example, 'dica', which is a related keyword 302 of the camera 301, may be classified into categories 303 such as home appliances / cameras / digital cameras, home appliances / cameras / camera supplies, and the home appliances / cameras / digital cameras. The category of and the category of the home appliance / camera / camera article may have different degrees of association 304 according to the advertiser data or the user data.

As such, the category 303 is classified for each related keyword 302 corresponding to the camera 301, and the degree of association 304 of each classified category is calculated.

Subsequently, the degree of association 304 is summed for the same category by the category 303 classified for each related keyword 302. According to Figure 3, by the same category, (1) home appliances / camera / digital camera = 0.8 + 0.2 + 0.10 = 1.10, (2) home appliances / camera / camera supplies = 0.15 + 0.1 + 0.7 = 0.95, (3) home appliances / Relevance of each category can be summed as camera / camera lens = 0.6.

The category associated with the camera 301 may be a home appliance / camera / digital camera, a home appliance / camera / camera article, or a home appliance / camera / camera lens.

In the step S204, it is preferable to determine the category having the largest value of the sum of the related degrees as the related category of the search keyword.

2 again, a keyword belonging to the related category determined in the step S204 is generated as an interest keyword list and the generated interest keyword list is set as interest information of the corresponding user (S205).

Steps S201 to S205 may be repeatedly performed on at least one search keyword to determine a related category of each search keyword and collect user's interest information through keywords belonging to the related category.

Among the methods of collecting user's interest information, the method of collecting interest information using the latest log will be described in detail.

4 is a diagram illustrating a process of collecting interest information using the latest log.

The recent keyword search history of the user using the keyword search service is recorded during the preset recent recording period (S401). In this case, the recent keyword search history of the user includes a search keyword input by the user during the recent recording period and a search time in which the search keyword is input.

Weights are assigned for each search keyword recorded in the latest recording period (S402).

The search keyword weight may be defined as in Equation 1 below.

Where W is the weight, Ta is the last record period, Tb is the current time, and Tc is the search time.

According to Equation 1, it can be seen that the weight (W) for the search keyword increases as the search time becomes more recent. When the same keyword exists among the search keywords recorded in the recent recording period, it is preferable to add the weights for the same search keywords.

The search keyword recorded in the latest recording period is generated as the interest keyword list according to the weight given in the step S402, and the generated interest keyword list is set as interest information of the corresponding user (S403).

After the weight is given for each of the search keywords recorded in the latest recording period, the recorded search keywords are sorted in ascending order of weight. In this case, the search keywords may be selected and sorted according to the number of preset keywords constituting the keyword list of interest. For example, if the number of keywords in the keyword list of interest is set to 10, only 10 search keywords are selected in order of magnitude of the weight, and the keyword is generated as the keyword list of interest.

The local information advertising system of the present invention may collect user's interest information by using a related category or latest log data of a search keyword in association with a web server providing a keyword search service.

Hereinafter, the process of the step S150 of providing the corresponding local information content according to the location information of the mobile device and the user's interest information will be described in detail with reference to FIG. 5.

As shown, the location information of the mobile device searched in the step (S130) is identified (S501) to search for local information advertisement content of the corresponding area corresponding to the location information of the mobile device, and then the searched area of the corresponding area. The local information advertisement content corresponding to the user's interest information collected in the step S110 is searched among the information advertisement contents (S502).

Subsequently, the local information advertisement content corresponding to the location information of the mobile device and the user's interest information is provided to the mobile device (S503).

When the user uses the navigation map service through the mobile device, as shown in FIG. 6, the local information advertising content may be matched and provided on the navigation map.

When a user moves while using the navigation map service through the mobile device, the user searches for the location of the user and provides local information advertisement content of a specific region corresponding to the current location to the mobile device. In this case, the local information advertising content may include the advertising information for the offline store with the location information of the offline store to be advertised.

As shown in FIG. 6, the locations 601 and 603 of the advertisement target are displayed on the navigation map of the mobile device based on the location information of the offline store, and the advertisement phrase 602 of the advertisement target ( 604 may be displayed together.

On the other hand, when a user uses a text service through the mobile device, as shown in FIG. 7, the local information advertising content may be provided in the form of the text service.

When the user carries the mobile device and moves, the location information of the user is determined from the mobile device to provide local information advertisement content of a specific region corresponding to the current location to the mobile device. In this case, the local information advertising content is provided in the form of a text service, and may be provided by attaching advertisement text for the offline store to be advertised and various advertisement information of the offline store.

As shown in FIG. 7, the local information advertising content is provided in a text service form 701 to the mobile device, and the local information advertising content includes advertisement text 702 as an advertisement target and various advertisement information about the advertisement target ( 703).

The advertisement information 703 of the advertisement target may include a company information, a discount information, a discount coupon, etc. of an offline store to be advertised, and a menu for accessing a road guide service for guiding the location of the offline store. It may further include.

In addition, the user may set the interest information on the local information advertising content and the desired region to be received. That is, the local information advertisement content corresponding to the interest information set by the user may be provided only in the desired region of the user instead of all regions.

The local information advertising method according to the present invention can be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the media may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

A system configuration for performing the above-described local information advertising method of the present invention will be described. 8 is a diagram showing the overall configuration of a local information advertising system according to the present invention.

As shown in Figure 8, the local information advertising system of the present invention in conjunction with the mobile device 830 that the user carries the advertisement server 850 for providing the local information advertising content corresponding to the user's interest information and location information It includes.

The advertisement server 850 is configured to interwork with a location query server 870 to query location information of the mobile device 830.

The advertisement server 850 may include an interest information analyzer 851, a member information database 853, and an advertisement database 855.

The user agrees to receive the local information advertisement content through a predetermined web page provided by the advertisement server 850 and information (for example, an identification number) of the mobile device 830 for receiving the local information advertisement content. Enter).

Here, the mobile device 830 is a terminal capable of communicating with the advertisement server 850 through a communication network and includes a mobile phone, a navigation terminal, and the like.

The advertisement server 850 may receive input of interest information (desired item) for the local information advertising content and a desired region for receiving the advertising content so that the user may provide the local information advertising content according to the environment set by the user. have.

In addition, the advertisement server 850 may collect interest information that the user is interested in recently by using a search keyword that the user inputs for the purpose of purchasing a product or searching on the web, even if the user does not input the interest information in a limited manner. .

That is, the advertisement server 850 may be configured to interwork with a predetermined web server (not shown) that provides a keyword search service. In this case, the web server may be configured to reside in the advertisement server 850 or to share a search keyword recently used by a user in a separate configuration from the advertisement server 850.

The interest information analyzer 851 collects interest information of the user. The interest information analysis unit 851 collects the desired item directly input by the user as the user's interest information, or the user accesses the web server through a user terminal 810 such as a PC or a portable mobile device 830. The user's interest information can be collected from the search keyword inputted for the purpose of purchasing or searching for the product.

The member information database 853 stores and manages personal information inputted from a user, mobile device information, and the collected interest information for each user.

The advertisement database 855 is for storing various local information advertisement contents registered by an advertiser. The advertisement database 855 may be classified and managed by region and interest information.

According to the above configuration, the advertisement server 850 confirms the location information of the mobile device 830 through the location query server 870 based on the information stored in the member information database 853 and the advertisement database 855. Thereafter, the local information advertisement content of the region corresponding to the location information of the mobile device 830 is searched. The local information advertisement content corresponding to the interest information of the corresponding user is searched among the local information advertisement contents of the corresponding region, and the searched local information advertisement content is transmitted to the mobile device 830.

The advertisement server 850 may provide the local information advertising content in the form of a navigation map, and display and provide a location of an offline store which is the advertisement target of the local information advertising content on the navigation map.

In addition, the advertisement server 850 may provide the local information advertising content in the form of a text service, and provides various advertisement information for the offline store that is the advertisement target of the local information advertising content and guides the location of the offline store. It can also be provided in conjunction with the road guidance service.

Accordingly, the present invention may implement an advertisement service of collecting a user's interest information and interworking with the mobile device, and providing advertisement content corresponding to the user's interest information to the mobile device according to the location of the mobile device.

As described above, the present invention has been described by way of limited embodiments and drawings, but the present invention is not limited to the above embodiments, and those skilled in the art to which the present invention pertains various modifications and variations from such descriptions. This is possible.

Therefore, the scope of the present invention should not be limited to the described embodiments, but should be determined not only by the claims below but also by the equivalents of the claims.

1 is a view showing the entire process of a local information advertising method according to the present invention.

FIG. 2 is a diagram illustrating a process of collecting interest information using an association category as an example of a method of collecting interest information of a user.

3 is a diagram illustrating a related keyword and a category classification table as an example of a search keyword corresponding to a 'camera' to explain a process of classifying a category by a related keyword and calculating a category association degree.

4 is a diagram illustrating a process of collecting interest information using a recent log as another example of a method of collecting interest information of a user.

FIG. 5 is a diagram illustrating an overall process of searching for a local information advertisement corresponding to a user's location information and providing advertising content according to the local information advertising method of the present invention.

6 and 7 illustrate a form of a local information advertisement providing advertisement content of a corresponding region based on user location information.

8 is a diagram showing the entire configuration of a local information advertising system according to the present invention.

<Explanation of symbols for the main parts of the drawings>

810: user terminal

830: mobile device

850: ad server

851: Interest Information Analyzer

853: Member Information Database

855: advertising database

870: location lookup server

Claims (21)

Collecting interest information of the user; Retrieving location information of the user from the mobile device of the user; And, Providing local information advertising content corresponding to the collected interest information to the mobile device according to the location information of the user. Place advertising method comprising a. The method of claim 1, Collecting user's interest information, Determining a related category of a search keyword input by the user on the web for the purpose of product purchase or search; Extracting an interest keyword list of the user based on the determined related category; Setting the extracted interest keyword list as interest information of a corresponding user; Place advertising method comprising a. The method of claim 2, Determining the related category of the search keyword, Acquiring at least one related keyword according to the degree of association between words with respect to the search keyword; Classifying at least one category to which the related keyword belongs, for each of the related keywords; Calculating an association degree for the associated keyword for each of the categories; Calculating the relevance for each category by adding the calculated relevance of each category to the same category; Determining the category with the highest correlation as the related category of the search keyword Place advertising method comprising a. The method of claim 2, Extracting the interest keyword list of the user based on the related category, Reading keywords belonging to the related category; Generating the read keyword as a list of interest keywords of the user Place advertising method comprising a. The method of claim 1, Collecting user's interest information, Recording a keyword search history on the web of the user; Extracting a keyword list of interest of the user based on the keyword search history; Setting the extracted interest keyword list as interest information of a corresponding user; Place advertising method comprising a. The method of claim 5, Recording your keyword search history on the web includes: Storing the search keyword and the search time entered by the user for the purpose of purchasing or searching for the product during a preset last recording period; Assigning a weight according to the search time to each of the search keywords stored in the recent recording period; Sorting the search keywords by the magnitude of the weights Place advertising method comprising a. The method of claim 6, The step of assigning a weight according to the search time to each of the search keywords stored in the recent recording period, And placing a higher weight on the search keyword as the search time becomes more recent based on the latest recording period, current time, and search time information. The method of claim 6, Extracting the user's interest keyword list based on the keyword search history, Selecting a predetermined number of search keywords in order of the weight among the sorted search keywords; Generating the selected search keyword as a list of interest keywords of the user Place advertising method comprising a. The method of claim 1, Collecting user's interest information, Directly inputting a desired item for local information advertising content that the user wants to receive; Setting the input desired item as interest information of the corresponding user; Place advertising method comprising a. The method of claim 9, Collecting user's interest information, Inputting a desired region to receive the local information advertising content; And providing the local information advertising content corresponding to the interest information to the mobile device according to the input desired region. The method of claim 1, Providing the local information advertising content corresponding to the collected interest information to the mobile device according to the location information of the user, Maintaining a local advertising database that stores local advertising content by interest information by region, Retrieving local information advertising content of a region corresponding to the location information of the user from the local information advertising database; Searching for local advertisement information corresponding to the user's interest information among the searched local advertisement contents of the corresponding region; Transmitting the local advertisement content corresponding to the user's interest information to the mobile device of the user Place advertising method comprising a. The method of claim 11, The step of transmitting the local information advertising content corresponding to the user's interest information to the mobile device of the user, When using the navigation map service through the mobile device, the local information advertising method characterized in that to provide the local information advertising content corresponding to the interest information on the navigation map. The method of claim 12, The providing of the local information advertising content on the navigation map may include: And displaying the location of the offline store that is the advertisement target of the local advertisement content on the navigation map. The method of claim 11, The step of transmitting the local information advertising content corresponding to the user's interest information to the mobile device of the user, When using a text service through the mobile device, local information advertising method characterized in that to provide the local information advertising content corresponding to the interest information in the form of the text service. The method of claim 14, The step of transmitting the local information advertising content corresponding to the user's interest information to the mobile device of the user, Providing a road guide service for guiding a location of an offline store that is an advertisement target of the local information content at the request of the user. Local advertising method further comprising. A computer-readable recording medium in which a program for executing the method of any one of claims 1 to 15 is recorded. A location query server for searching location information of a mobile device carried by a user; And, After collecting the user's interest information, the advertisement server for providing the local information advertising content corresponding to the collected interest information to the mobile device according to the location information of the mobile device Local advertising system comprising a. The method of claim 17, The ad server, An interest information analyzer for collecting user's interest information; A member information database for receiving the local information advertisement content and a member information database for storing interest information for each member; Ad database for storing local advertising content by region of interest Local advertising system comprising a. The method of claim 18, The interest information analysis unit, Local information characterized in that the user directly inputs the interest information on the local information advertising content to be provided from the user, or analyzes the keyword search history on the web to extract the user's interest information from the keyword search history Advertising system. The method of claim 17, The ad server, When the user uses the navigation map service through a mobile device, the local information advertising system, characterized in that to provide the corresponding area information advertising content corresponding to the interest information on the navigation map. The method of claim 17, The ad server, When the user uses the text service through a mobile device, the local information advertisement content corresponding to the interest information is provided in the form of the text service, and the user can request a path to an offline store that is the advertisement target of the local information content. Local information advertising system, characterized in that to provide a guide service.

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