JP4992628B2 - Ad distribution system - Google Patents

Description

  The present invention relates to an advertisement distribution system, and more particularly to a system for distributing advertisements to users of the system.

  In a search system on the web, a search result is displayed on a terminal of a user who has made a search request to the search system, and advertisement information for the user is displayed. At this time, the user wants the effective information that he / she needs, while the advertisement provider wants to distribute the advertisement to users who are interested in the advertisement he / she issues. In order to solve these problems, various measures have been taken to provide the advertisement information described above.

  For example, in Patent Literature 1, in the search system, the user's interest is classified from the history data of the search keyword of the user, and the advertisement data with a plurality of information amounts input by the advertisement provider is matched with the classified data. An advertisement that seems to be of high interest to users is distributed. Patent Document 2 discloses a system in which a genre advertisement is distributed according to the genre of content that has been requested in the past from the user in the content distribution system.

JP-A-11-134353 JP 2002-358455 A

  However, the service disclosed in Patent Document 1 estimates a user's interest from a single input of a search keyword, but the user does not always enter a keyword that is originally interesting. Absent. Accordingly, there is a possibility that the advertisement provider side provides the advertisement to users who are not interested. In addition, the service disclosed in Patent Document 2 estimates the user's interest from several content requests, and an advertisement of a genre related to the content that happens to be requested at that time is distributed. sell. Therefore, the user cannot obtain an advertisement of interest every time, and the advertisement providing side may provide an advertisement to a user who is not interested. As a result, there has been a problem that efficient advertisement distribution is not possible.

  Therefore, the object of the present invention is to improve the above inconvenience, and in particular, to efficiently distribute advertisements to users of the system.

Therefore, an advertisement distribution system according to one aspect of the present invention is
Advertisement data storage means for storing predetermined advertisement data;
Request receiving means for receiving user identification information for identifying the user and request information representing a predetermined request from the user, input from the user;
Based on the user identification information and the request information, a request number counting means for counting and storing the number of requests for each user,
An advertisement extracting means for extracting advertisement data corresponding to the request information from the user from the advertisement data storage means when the number of requests reaches a preset reference number;
An advertisement output means for outputting the extracted advertisement data to the user;
It has the structure of having.

  The present invention is configured as described above, so that the advertisement can be distributed at a necessary timing according to the number of times the user has used, and the efficiency of advertisement distribution can be improved. Has an excellent effect.

  The present invention is an advertisement distribution system that is incorporated in a system that provides predetermined information, such as a search system and a content distribution system, and distributes advertisements together with information provided to users.

For example, the advertisement distribution system
Advertisement data storage means for storing predetermined advertisement data;
Request receiving means for receiving user identification information for identifying the user and request information representing a predetermined request from the user, input from the user;
Based on the user identification information and the request information, a request number counting means for counting and storing the number of requests for each user,
An advertisement extracting means for extracting advertisement data corresponding to the request information from the user from the advertisement data storage means when the number of requests reaches a preset reference number;
An advertisement output means for outputting the extracted advertisement data to the user;
The structure that is equipped with.

  According to the above invention, first, when request information is received from a user, the number of requests is counted for each user. Thereafter, when the number of requests reaches the reference number, advertisement data corresponding to the user's request information is extracted, and the advertisement data is output to the user. Accordingly, since the advertisement corresponding to the requested content is provided after the user has used the system a predetermined number of times, the advertisement can be distributed at a timing required by the user. As a result, the efficiency of advertisement distribution can be improved.

  In addition, the advertisement distribution system includes an advertisement keyword storage unit that stores a keyword corresponding to the content of each advertisement data, and the advertisement extraction unit sends a request to the request reception unit based on the keyword stored in the advertisement keyword storage unit The advertisement data corresponding to the keyword included in the received request information is extracted from the advertisement data storage means. The advertisement extracting means adds weight information indicating importance according to the number of requests for each keyword included in the request information to the keyword stored in the advertisement keyword storage means, and sends advertisement data according to the weight information. The configuration of extracting is adopted. Further, user job type data representing the job type of the user is obtained from the user, and the advertisement data storage means stores job type data representing job type corresponding to the content of each advertisement data in association with the advertisement data, and stores the advertisement data. The extraction unit adopts a configuration in which the advertisement data corresponding to the user job type data is extracted based on the job type data stored in the advertisement data storage unit.

  Thereby, advertisement data related to the keyword requested by the user is extracted and provided to the user. Therefore, it is possible to distribute advertisements required by the user, and to further improve the efficiency of advertisement distribution. At this time, in particular, a weight corresponding to the number of requests is added to the keyword, and an advertisement is extracted based on the weight information, or an advertisement corresponding to the job type of the user is extracted. Thereby, the advertisement which a user needs further can be delivered.

  Further, the advertisement distribution system adopts a configuration in which the reference number compared with the request number can be set for each user. Furthermore, the advertisement distribution system employs a configuration in which the request information from the user is a keyword for a search target used when searching for predetermined information.

Moreover, the search system which is the other form of this invention,
Search target data storage means for storing predetermined search target data;
Advertisement data storage means for storing predetermined advertisement data;
Request receiving means for receiving user identification information for identifying the user, and request information indicating a search request from the user, input from the user;
Search object extraction means for extracting the search object data corresponding to the request information from the search object data storage means;
Based on the user identification information and the request information, a search request number counting means for counting and storing the number of requests for each user,
An advertisement extracting means for extracting advertisement data corresponding to the request information from the user from the advertisement data storage means when the number of requests reaches a preset reference number;
Search result output means for outputting to the user the search target data extracted by the search target extraction means and the advertisement data extracted by the advertisement extraction means;
The structure that is equipped with.

  The search system includes an advertisement keyword storage means for storing a keyword corresponding to the content of each advertisement data, and the advertisement extraction means is received by the request reception means based on the keyword stored in the advertisement keyword storage means. The advertisement data corresponding to the keyword included in the requested information is extracted from the advertisement data storage means.

Moreover, the program which is the other form of this invention is:
On the computer,
Request receiving means for receiving user identification information for identifying the user and request information representing a predetermined request from the user, input from the user;
Based on the user identification information and the request information, a request number counting means for counting and storing the number of requests for each user,
An advertisement extracting means for extracting advertisement data corresponding to request information from a user from a predetermined storage means when the number of requests reaches a preset reference number;
An advertisement output means for outputting the extracted advertisement data to the user;
The structure of realizing is adopted.

  Then, the program extracts advertisement data corresponding to the keyword included in the request information received by the request receiving means, based on a preset keyword corresponding to the content of each advertisement data by the advertisement extracting means. The configuration is taken.

An advertisement distribution method for outputting advertisement information to a user using a computer according to another embodiment of the present invention includes:
A request receiving step of receiving user identification information for identifying the user, and request information representing a predetermined request from the user, input from the user;
Based on the user identification information and the request information, a request number counting step for counting and storing the number of requests for each user,
An advertisement extraction step of extracting advertisement data corresponding to request information from a user from a predetermined storage means when the number of requests reaches a preset reference number;
An advertisement output process for outputting the extracted advertisement data to the user;
It has the structure of having.

  And the said advertisement delivery method WHEREIN: Based on the keyword previously set by the said advertisement extraction process corresponding to the content for every advertisement data, the advertisement data corresponding to the keyword contained in the request information received in the request | requirement reception means are obtained. The configuration of extracting is adopted.

  Hereinafter, in the embodiment, a case where the advertisement distribution system is applied to a search system capable of searching for predetermined information will be described. However, the advertisement distribution system is not limited to being applied to a search system, and can be applied to other information providing systems such as a system that provides content in response to a request from a user.

  A first embodiment of the present invention will be described with reference to FIGS. FIG. 1 is a block diagram showing the overall configuration of the search system. FIG. 2 is a functional block diagram showing the configuration of the search engine, and FIG. 3 is a functional block diagram showing the configuration of the matching engine. 4 to 8 are diagrams illustrating an example of data stored in the advertisement distribution system. 9 to 11 are sequence diagrams showing search and advertisement distribution operations.

[Constitution]
As shown in FIG. 1, the search system 1 according to the present embodiment is connected to a search terminal 10 operated by a user via a network. The search system 1 includes a search engine 2 that mainly performs information search processing and a matching engine 4 that performs advertisement distribution. For example, the search engine 2 and the matching engine 4 are each configured by a server computer. The search terminal 10 is a device having an input function, a display function, and a communication function, such as a personal computer. Hereinafter, each configuration will be described in detail.

  First, the search engine 2 is connected to a search DB 3 (search target data storage means) that stores search target data to be searched. Further, the search engine 2 includes a search request receiving unit 21, a search processing unit 22, and a search result output unit 23 as shown in FIG. .

  The search reception unit 21 receives an input of a keyword that is request information representing a search request from the search terminal 10 and passes the input to the search processing unit 22. In addition, the search reception unit 21 has a function of receiving an ID that is user identification information for identifying a user from the search terminal 10 and transmitting the ID to the matching engine 4 together with a keyword. Further, the search reception unit 21 receives a user registration request from the search terminal 10 and relays a user registration process performed between the search terminal 10 and the matching engine 4. For example, as will be described later, threshold data that is the number of searches for transmitting an ID generated by the matching engine 4 to the search terminal 10 or displaying an advertisement input from the user and transmitted from the search terminal 10, and use User job type data representing the job type of the user is transmitted to the matching engine 4.

  The search processing unit 22 (search target extracting means) extracts search target data corresponding to the keyword transmitted from the search terminal 10 from the search DB 3. Then, the extracted search result is passed to the search result output unit 23. Note that the search processing unit 22 is not limited to searching the search DB 3, and may perform search processing based on keywords for other computers or the like existing on the network.

  The search result output unit 23 (search result output means) transmits the search result to the search terminal 10 in response to the notification from the matching engine 4. For example, when a notification of no advertisement is received from the matching engine 4, only the search result is transmitted to the search terminal 10. On the other hand, when the advertisement data is received from the matching engine 4, the advertisement data is transmitted to the search terminal 10 together with the search result. As a result, the search terminal 10 displays the advertisement data together with the search result.

  Next, the matching engine 4 will be described. As shown in FIG. 1, the matching engine 4 includes a storage device such as a threshold value DB 5, a search history DB 6, a user DB 7, a keyword list DB 8, and an advertisement DB 8. The matching engine 4 includes a user registration unit 41, a request reception unit 42, a request number counting unit 43, an advertisement extraction unit, as shown in FIG. 44 and an advertisement output 45. With this configuration, the advertisement distribution system is configured by the matching engine 4 and various DBs. Note that the matching engine 4 and the various DBs may be directly connected or connected via a network. Hereinafter, each configuration will be described in detail.

  As described above, the user registration unit 41 generates an ID for identifying each user in response to a user registration request requested from the search terminal 10 via the search engine 2, and uses this ID as the search engine 2. To the search terminal 10 via At this time, the user registration unit 41 stores the ID in the threshold DB 5 as indicated by reference numeral 51 in FIG. 4, in the search history DB 6 as indicated by reference numeral 61 in FIG. 5, and as indicated by reference numeral 71 in FIG. Are set in the user DB 7 respectively.

  Further, the user registration unit 41 sets the threshold data input from the user who requested the user registration via the search engine 2 in correspondence with the user ID as indicated by reference numeral 52 in FIG. Register in DB5. The threshold data 52 is a value that determines the number of times a user searches for the advertisement distribution timing. When the number of searches by the user exceeds this threshold, the advertisement data is distributed together with the search result by satisfying other conditions. The Further, the user registration unit 41 registers the job type data of the user input through the search engine 2 from the user who has requested the user registration in the user DB 7 as indicated by reference numeral 72 in FIG. . The registration of the threshold data and job type data may be performed by any method. For example, the user may directly access the matching engine 4 via the search terminal 10, or an operator who manages the matching engine 4 may register.

  Further, as described above, the request accepting unit 42 (request accepting means) receives the user ID and keyword transmitted from the search engine 2 when the user makes a search request to the search engine 2 from the search terminal 10. Accept. Then, the request is passed to the request count unit 42.

  The request count unit 43 (request count counting means) distinguishes users to be searched based on the user ID, and counts the number of searches (request count) for each user. Then, the counted number of searches is stored in the search history DB 6 as indicated by reference numeral 62 in FIG. At this time, as indicated by reference numeral 63 in FIG. 5, the keyword requested to be searched is also stored in the search history DB 6 for each user. Thus, by referring to the search history DB 6, the total number of searches 62 for each user and the search keyword history 63 so far are known. In addition, the request count unit 42 passes the number of searches for each user to the advertisement extraction unit 44.

  As described above, the advertisement extraction unit 44 (advertisement extraction means) obtains the registered threshold value 52 of the user from the threshold value DB 5 based on the ID of the user when receiving the number of searches of the user. Then, when the number of searches counted by the request count counting unit 43 reaches a threshold value 52 (reference number), the user who performs the search extracts advertisement data corresponding to the input keyword. Specifically, first, based on the user ID, the user's keyword history 63 is extracted from the search history DB 6 to check whether each keyword is registered in the keyword list DB 8 shown in FIG. . The keyword list DB 8 (advertisement keyword storage means) stores a preset keyword corresponding to the content of the advertisement data registered in the advertisement DB 9, as will be described later. That is, the keyword list DB 8 stores the keyword 82 related to each advertisement data in association with the advertisement ID 81 that identifies the provider of each advertisement data. When the search keyword in the keyword history 63 matches the keyword in the keyword list DB 8, weight information (hereinafter also referred to as “score”) is added to increase the importance of the keyword. Thereby, the weight of the advertisement associated with the keyword corresponding to the search keyword is set high. Therefore, the score which is weight information is added so that the importance of the advertisement associated with the keyword increases as the number of searches (requests) for the same keyword increases. Then, the weighting process is performed for all search keywords.

  Further, the advertisement extraction unit 44 extracts the advertisement ID of the advertisement to which the score is added as described above, that is, the advertisement ID whose score is not “0”, and obtains the contact type 92 corresponding to this advertisement ID from the advertisement DB 9. Extract. Here, the advertisement DB 9 (advertisement data storage means) is a database that stores advertisement data 93 that can be distributed to users, and further includes an advertisement ID 91 that identifies a provider that provides each advertisement data, and each advertisement data A contact job type 92 (job type data) representing a job type corresponding to the content is stored. In other words, the contact occupation 92 is information representing the occupation that the advertisement provider desires to distribute the advertisement. Then, the advertisement extraction unit 44 extracts the job type data of the user who has requested the search from the user DB 7 based on the user ID, and the contact job type in which the score is not “0” as described above. Compare with 92. At this time, when the job type of the user matches the contact job type 92 corresponding to the advertisement, as shown in the advertisement DB 9 in FIG. 8, the advertisement associated with the contact job type 92 is used as a candidate for the advertisement to be distributed. Select. Further, the advertisement extracting unit 44 refers to the keyword list DB 8 in FIG. 7 and extracts the advertisement having the highest score as a distributed advertisement, and passes it to the advertisement output unit 45.

  The advertisement output unit 45 (advertisement output means) transmits the advertisement data extracted as described above to the search result output unit 23. Then, the advertisement data is transmitted to the search terminal 10 together with the search result by the search result output unit 23 of the search engine 2 described above.

[Operation]
Next, the operation of the above-described search system will be described with reference to the sequence diagrams of FIGS. First, the user registration operation will be described with reference to FIG.

  First, when a user accesses the search engine 2 from the search terminal 10 and makes a user registration request (step S1), the search engine 2 transfers this to the matching engine 4 (step S2). Then, the matching engine 4 generates an ID for identifying each user in response to a user registration request from the search terminal 10 (step S3). And this ID is notified to the search terminal 10 via the search engine 2 (step S4). Further, the generated ID is registered and set in the threshold value DB 5, the search history DB 6, and the user DB 7 (step S5).

  Subsequently, the matching engine 4 requests the search terminal 10 to input various user information (step S6). In response to this, the user inputs threshold data and job type data to the search terminal 10 and transmits them to the matching engine 4 via the search engine 3 (step S7). Receiving these, the matching engine 7 registers the threshold data in the threshold DB 5 (step S8), and registers the user's job type data in the user DB 7 (step S9). Note that the user can access the matching engine 4 from the search terminal 10 at an arbitrary timing, and perform change registration of the threshold data and job type data.

  Next, an operation when the user accesses the search system 1 using the search terminal 10 and performs information search will be described with reference to FIGS. 10 and 11. First, when a user accesses the search engine 2 with the search terminal 10, the user's ID is transmitted (step S11). At almost the same time, the user inputs a search keyword into the search terminal 10 and transmits it to the search engine 2 (step S12). Then, the search engine 2 transmits the received user ID and search keyword to the matching engine 4 (step S13). Further, the search engine 2 searches for information corresponding to the received search keyword (step S14), and holds the search result.

  Subsequently, when the matching engine 4 receives the user ID and the search keyword from the search engine 2 (request reception process), the number of times the user has searched so far in the search history DB 6 based on the received user ID. Is incremented by 1 (step S15, request count counting step). Then, the added number of searches is acquired from the search history DB 6 (step S16), and the threshold value 52 associated with the user ID 51 in the threshold value DB 5 corresponding to the user ID is read (step S17).

  Thereafter, the number of searches is compared with a threshold value (step S18). If the number of searches does not exceed the threshold value (No in step S18), the search engine 2 is notified of “no advertisement” (step S19). . Receiving this, the search engine 2 transmits only the search result by the search process of step S14 to the search terminal 10 (step S20). Thereby, the search terminal 10 displays the search result with no advertisement display (step S21), and the user can obtain it.

  On the other hand, if the number of searches is greater than or equal to the threshold as a result of the comparison between the number of searches and the threshold (Yes in step S18, proceed to FIG. 11), the search is performed exceeding the number of searches preset by the user. Therefore, the matching engine 4 performs a process for displaying an advertisement, that is, a process of selecting and extracting an advertisement (advertisement extraction step). Specifically, first, the search keyword history 63 input by the user is extracted from the search history DB 6 (step S31). Then, one of the keywords included in the keyword history (hereinafter, “processing target keyword”) is taken out and collated with all the keywords 82 in the keyword list 8 (step S32). At this time, if the processing target keyword matches the keyword 82 in the keyword list 8, the weight 83 corresponding to the keyword 82 is added as a score for the advertisement ID 81 corresponding to the keyword 82 (step S33). By performing this procedure for all the processing target keywords, scores are calculated for each of the plurality of advertisement IDs 81. Note that the score is calculated by, for example, a process of adding a score “1” each time a keyword matches. However, the score calculation example described above is merely an example, and the score may be calculated by any method. However, it is desirable that the score be higher as the keyword is searched more frequently.

  Thereafter, the matching engine 4 further collates the advertisement ID 91 of the advertisement DB 9 for each advertisement ID to which the score is added as described above, and if it matches, takes out the contact type 92 (step S34). On the other hand, the matching engine 4 takes out the job type 72 corresponding to the search user registered in advance from the user DB 7 (step S35). At this time, if the contact job type 92 and the search user job type 72 do not match (No in step S36), the process proceeds to step S19 in FIG. 10 to notify the search engine 2 that there is no advertisement (step S19). ). Thereby, as described above, the search engine 2 transmits only the search result to the search terminal 10 (step S20).

  On the other hand, if the contact job type 92 and the search user job type 72 match in step S36 (Yes in step S36), the advertisement ID 91 is stored as a candidate for the advertisement to be distributed. Then, the matching engine 4 refers to the keyword list DB 8 among the stored advertisement candidates to be distributed, and selects an advertisement having the highest score as an advertisement to be distributed to the search user (step S37).

  Thereafter, the matching engine 4 extracts advertisement data corresponding to the advertisement ID of the selected presentation advertisement from the advertisement DB 9 (step S38), and transmits it to the search engine 2 (step S39, advertisement output step). Receiving this, the search engine 2 transmits an advertisement to the search terminal 10 together with the search result (step S40). Then, the search terminal 10 displays an advertisement on the screen together with the received search result.

  As described above, according to the present embodiment, when the number of searches exceeding the threshold set by the user himself / herself is performed in advance, a high weight is set for the search keyword performed by the user, and the user It is possible to provide the user with an advertisement corresponding to the type of job. Therefore, the advertisement can be distributed at the timing required by the user, and the efficiency of the advertisement distribution can be improved.

  Further, in the above-described search system, when there are conditions of the user and the advertisement providing side, the advertisement is distributed to the above-described user, while the advertisement providing side has the user's personal information, for example, It may be configured to distribute e-mail addresses, internal extension telephone numbers, and the like. For example, when the matching engine 4 collects and holds the personal information of the user in advance, and the conditions such as the number of searches and the score are met during the search from the user, and the advertisement is distributed to the user, the user The personal information may be transmitted to the registered contact information on the advertisement providing side.

  The advertisement distribution system of the present invention can be used to distribute advertisements together with information provided by being incorporated in an information providing system such as a search system or a content distribution system.

It is a block diagram which shows the whole structure of a search system. It is a functional block diagram which shows the structure of a search engine. It is a functional block diagram which shows the structure of a matching engine. It is a figure which shows an example of threshold value DB. It is a figure which shows an example of search log | history DB. It is a figure which shows an example of user DB. It is a figure which shows an example of keyword list DB. It is a figure which shows an example of advertisement DB. It is a sequence diagram which shows operation | movement of a search system, and shows operation | movement at the time of user registration. It is a sequence diagram which shows operation | movement of a search system, and shows operation | movement at the time of an information search and search result output. It is a sequence diagram which shows operation | movement of a search system, and shows operation | movement at the time of an information search and search result and advertisement output.

Explanation of symbols

1 Search system 2 Search engine 3 Search DB
4 Matching engine 5 Threshold DB
6 Search history DB
7 User DB
8 Keyword List DB
9 Advertising DB
DESCRIPTION OF SYMBOLS 10 Search terminal 21 Search request reception part 22 Search processing part 23 Search result output part 41 User registration part 42 Request reception part 43 Request frequency count part 44 Advertisement extraction part 45 Advertisement output part

Claims (10)

Advertisement data storage means for storing the advertisement data and an advertisement ID for identifying the provider providing the advertisement data in association with each other ;
Advertising keyword storage means for storing keywords, advertisement IDs, and scores in association with each other;
Request accepting means for accepting user identification information for identifying the user, and request information that includes a keyword and requests processing based on the keyword, input from the user;
Keyword history storage means for storing a keyword history that is a history of keywords included in the received request information for each user;
A request frequency counting means for counting and storing the number of requests, which is the number of times the user identification information and the request information have been received, for each user ;
When the number of requests for a certain user reaches a preset reference number of two or more , each keyword included in the keyword history for the user is stored in association with the keyword. The advertisement ID and the score are acquired, and for each advertisement ID, the sum of the scores acquired together with the advertisement ID is calculated, the advertisement ID is selected based on the calculated sum of the scores, and the selected advertisement ID and Advertisement extraction means for extracting the advertisement data stored in association with the advertisement data storage means;
An advertisement output unit which outputs the advertisement data the extracted to the user,
An advertisement delivery system comprising: User information storage means for storing the user identification information and user job type data representing the job type of the user identified by the user identification information in association with each other,
The advertisement data storage unit is configured to store advertisement data, an advertisement ID for identifying a provider that provides the advertisement data, and job type data representing a job type in association with each other,
The advertisement extraction means includes job type data corresponding to user job type data stored in association with user identification information for identifying the user when the requested number of times for a certain user reaches the reference number of times. To extract the advertisement data stored in association with
Advertisement distribution system according to claim 1, characterized in that. Before Symbol reference number of times can be set for each user,
The advertisement distribution system according to claim 1 or 2, characterized in that Before Stories request information is information for requesting the process to retrieve the predetermined information on the basis of and the keyword includes a keyword,
The advertisement delivery system according to any one of claims 1 to 3 . And the search target data storing means for storing a predetermined search target data,
Advertisement data storage means for storing the advertisement data and an advertisement ID for identifying the provider providing the advertisement data in association with each other ;
Advertising keyword storage means for storing keywords, advertisement IDs, and scores in association with each other;
Request accepting means for accepting user identification information for identifying the user, and request information that includes a keyword and requests processing based on the keyword, input from the user;
Search object extraction means for extracting search object data corresponding to the keyword included in the accepted request information from the search object data storage means;
Keyword history storage means for storing a keyword history that is a history of keywords included in the received request information for each user;
A request frequency counting means for counting and storing the number of requests, which is the number of times the user identification information and the request information have been received, for each user ;
When the number of requests for a certain user reaches a preset reference number of two or more , each keyword included in the keyword history for the user is stored in association with the keyword. The advertisement ID and the score are acquired, and for each advertisement ID, the sum of the scores acquired together with the advertisement ID is calculated, the advertisement ID is selected based on the calculated sum of the scores, and the selected advertisement ID and Advertisement extraction means for extracting the advertisement data stored in association with the advertisement data storage means;
And the search target data extracted by said search target extraction means, a search result output means for outputting the advertisement data extracted by said advertisement extracting section to the user,
A search system characterized by comprising: User information storage means for storing the user identification information and user job type data representing the job type of the user identified by the user identification information in association with each other,
The advertisement data storage unit is configured to store advertisement data, an advertisement ID for identifying a provider that provides the advertisement data, and job type data representing a job type in association with each other,
The advertisement extraction means includes job type data corresponding to user job type data stored in association with user identification information for identifying the user when the requested number of times for a certain user reaches the reference number of times. To extract the advertisement data stored in association with
The search system according to claim 5, wherein: Advertisement data storage means for storing the advertisement data and an advertisement ID for identifying the provider providing the advertisement data in association with each other;
Advertising keyword storage means for storing keywords, advertisement IDs, and scores in association with each other;
On a computer with
Input from a Subscriber, a request receiving means for receiving a user identification information for identifying the user, a request information for requesting processing based on and the keyword includes a keyword, a,
Keyword history storage means for storing a keyword history that is a history of keywords included in the received request information for each user;
A request frequency counting means for counting and storing the number of requests, which is the number of times the user identification information and the request information have been received, for each user ;
When the number of requests for a certain user reaches a preset reference number of two or more , each keyword included in the keyword history for the user is stored in association with the keyword. The advertisement ID and the score are acquired, and for each advertisement ID, the sum of the scores acquired together with the advertisement ID is calculated, the advertisement ID is selected based on the calculated sum of the scores, and the selected advertisement ID and Advertisement extraction means for extracting the advertisement data stored in association with the advertisement data storage means;
An advertisement output unit which outputs the advertisement data the extracted to the user,
Program for make realize. The computer further includes:
User information storage means for storing the user identification information and user job type data representing the job type of the user identified by the user identification information in association with each other,
The advertisement data storage unit is configured to store advertisement data, an advertisement ID for identifying a provider that provides the advertisement data, and job type data representing a job type in association with each other,
The advertisement extraction means includes job type data corresponding to user job type data stored in association with user identification information for identifying the user when the requested number of times for a certain user reaches the reference number of times. Configured to extract the ad data stored in association with
The program according to claim 7 . Advertisement data storage means for storing the advertisement data and an advertisement ID for identifying the provider providing the advertisement data in association with each other;
Advertising keyword storage means for storing keywords, advertisement IDs, and scores in association with each other;
Applied to computers with
A request receiving step for receiving user identification information for identifying the user, and request information that includes a keyword and requests processing based on the keyword, input from the user;
For each user, a keyword history storage step for storing a keyword history that is a history of keywords included in the received request information;
A request frequency counting step of counting and storing the number of requests for each user, which is the number of times the user identification information and the request information have been received ,
When the number of requests for a certain user reaches a preset reference number of two or more , each keyword included in the keyword history for the user is stored in association with the keyword. The advertisement ID and the score are acquired, and for each advertisement ID, the sum of the scores acquired together with the advertisement ID is calculated, the advertisement ID is selected based on the calculated sum of the scores, and the selected advertisement ID and An advertisement extraction step of extracting the advertisement data stored in association with the advertisement data storage means;
A step advertisement output for outputting advertisement data that issued the extract to the user,
An advertisement distribution method characterized by comprising: The computer further includes:
User information storage means for storing the user identification information and user job type data representing the job type of the user identified by the user identification information in association with each other,
The advertisement data storage unit is configured to store advertisement data, an advertisement ID for identifying a provider that provides the advertisement data, and job type data representing a job type in association with each other,
In the advertisement extraction step, the job type data corresponding to the user job type data stored in association with the user identification information for identifying the user when the requested number of times for the user reaches the reference number of times. To extract the advertisement data stored in association with
The advertisement delivery method according to claim 9 .

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