JP5783777B2 - Information distribution apparatus, method and program - Google Patents

Description

  The present invention relates to an information distribution apparatus, method, and program.

  A technique for distributing content according to a user's tendency has been developed (see, for example, Patent Document 1-2).

JP 2009-245234 A JP 2005-208943 A

  When selecting users to whom information is to be distributed according to the contents of the content, if the contents of the content are used as filter conditions and the users are selected based on the tendency, the data regarding the user's tendency is frequently updated and accurate data Unless necessary, unnecessary information may reach the user or necessary information may not reach the user. If the information is not properly distributed, it leads to an increase in information processing device resources and communication traffic, loss of business opportunities, and the like.

  This invention is made in view of such a subject, and makes it a subject to provide the information delivery apparatus, method, and program which can select suitably the user made into delivery object and can deliver information. .

  In order to solve the above problems, the present invention extracts a group of users whose tendencies are approximated based on data regarding tendencies of users, which are periodically corrected according to the degree of user's reaction to distributed information. We decided to distribute information to the user group.

  Specifically, the information distribution device distributes information to each user's information terminal, and when a specific information distribution request is received, the information is periodically corrected according to the degree of reaction of each user to the distributed information. A processing unit that extracts a user group based on the data regarding the tendency of each user and distributes the specific information to a user group whose tendency matching degree satisfies a predetermined condition.

  Here, in selecting the users to be distributed, the degree of coincidence of each tendency is referred to as long as the users having similar tendencies such as preferences also approximate the target of information of interest. Based on the idea. In the above information distribution apparatus, when distributing information, by extracting a user group whose degree of coincidence of trends satisfies a predetermined condition as a distribution destination user, unnecessary information reaches the user, and necessary information is transmitted to the user. It is restrained that it does not reach. Note that the predetermined condition is a condition of the degree of coincidence of tendencies that can be objectively estimated by analyzing the tendencies of each user and approximating tendencies such as preferences and wanting similar information. For example, the degree of coincidence of numerical values indicating the weights of various indices representing trends can be exemplified.

Here, even if the users are estimated to have similar trends based on the analysis result of the data regarding the user's tendency, it is considered that either one browses the distribution information and one of the other does not browse the same distribution information. It is done. As a cause in this case, it is conceivable that the user's own tendency changes and the accuracy of data regarding the tendency is low. Therefore, in the information distribution apparatus, a user group to be distributed is extracted based on data regarding the tendency of each user that is periodically corrected according to the degree of reaction of each user to the distributed information. If the data used for extraction changes the tendency of each other's tendency according to the degree of the user's reaction to the distributed information, unnecessary information reaches the user or necessary information is sent to the user. It is possible to compensate for the lack of accuracy of data related to the tendency by following the change of the user's own tendency while suppressing the arrival of the error.

  The data on the tendency of each user is stored in a storage means, and the processing unit receives the data on the reaction of each user with respect to the specific information distributed from the information terminal of each user. Data relating to each user's reaction may be analyzed to correct the data relating to each user's tendency stored in the storage means. In the case of an information distribution device configured in this way, data related to each user's tendency is corrected according to the degree of user's reaction to the information distributed by the information distribution device, so that the change in the user's own tendency is followed. In addition, it is possible to suppress the unnecessary information from reaching the user and the necessary information from reaching the user while making up for the lack of accuracy of the data regarding the trend.

  In addition, when the processing unit receives a distribution request for the specific information from the information provider, the processing unit is a user group extracted based on data regarding the tendency of each user, and the information provider intends to distribute The specific information may be distributed to a user group to be distributed and a user group whose degree of coincidence with the distribution target user satisfies the predetermined condition. If it is an information delivery apparatus comprised in this way, the information which an information provider will deliver can be delivered appropriately to the user who needs information.

  Further, when the processing unit receives a distribution request for the specific information from a specific user, the processing unit is a user group extracted based on the data regarding the tendency of each user, and the degree of coincidence of the tendency with the specific user is The specific information may be distributed to a user group that satisfies the predetermined condition. Regarding information that a specific user needs, it is considered that there is a high possibility that the user who has a tendency similar to that of the user will be interested. Thus, by configuring the information distribution apparatus in this way, it is possible to properly distribute information to users who need information.

  The present invention can also be understood as a method, a program, or a recording medium on which the program is recorded. For example, the present invention is an information distribution method executed by a device that distributes information to each user's information terminal. Upon receiving a request for distribution of specific information, the present invention responds to the degree of response of each user to the distributed information. A user group may be extracted based on data regarding the tendency of each user that is periodically corrected, and the specific information may be distributed to a user group whose degree of coincidence of the trend satisfies a predetermined condition.

  Information can be distributed by appropriately selecting users to be distributed.

It is a block diagram of an information delivery system. It is a schematic diagram of the process performed in an information delivery system. It is a flowchart of the process which the processor of a vehicle equipment performs. It is a flowchart of the process which the processor of a server performs. It is a schematic diagram of the trend analysis process which the processor of a server performs. It is an example of the data collected with a vehicle equipment. It is an example of the user's tendency which can be estimated from data. It is a schematic diagram of the delivery process (pattern 1) which the processor of a server performs. It is the figure which showed an example of the range of the interest object of each user. It is a conceptual diagram of the process which compares the tendency data of each user. It is the conceptual diagram which showed the user group appropriately selected according to the content of delivery information, arranged in the shape of a tree. It is a schematic diagram of the delivery process (pattern 2) which the processor of a server performs. It is the figure which showed the concept of the content of the user's reaction with respect to delivery information, the strength of a user's reaction, and the degree of interest in information delivery. It is the conceptual diagram which showed the relationship between the aspect of a user's reaction, and the degree of reaction. It is the figure which showed an example of the change of the range of the interest object of each user. It is the conceptual diagram which showed the modification of the relationship between the aspect of a user's reaction, and the degree of reaction. It is a schematic diagram of the delivery process (pattern 3) which the processor of a server performs.

  Hereinafter, modes for carrying out the present invention will be exemplarily described. The following embodiments are exemplifications, and do not limit the technical scope of the present invention.

<Configuration>
FIG. 1 is a configuration diagram of an information distribution system 1 including an information distribution apparatus (hereinafter referred to as a server 4) according to an embodiment of the present invention. In the information distribution system 1, the server 4 installed in the center 2 is connected to the content provider 6 via the network 8, and distributes various information via the fixed station 7 to the in-vehicle device 5 mounted on the vehicle 3. . The content providers 6 include not only businesses specializing in information distribution but also companies that provide various products and services.

  The server 4 includes a processor 41, a memory 42, a communication interface (communication I / F) 43, and a database 44. When the processor 41 executes a computer program loaded on the memory 42, analysis processing and distribution described later are performed. Execute processing etc. The series of processing is realized by the processor 41 cooperating with the memory 42, the communication I / F 43, and the database 44. The processor 41 is connected to the network 8 via the communication I / F 43 and can access the in-vehicle device 5 and the content provider 6.

  The in-vehicle device 5 includes a processor 51, a memory 52, a display device 53, and a transmission / reception unit 54. The processor 51 executes various kinds of processing by executing a computer program loaded in the memory 52. The in-vehicle device 5 may be a navigation device that guides a route or various information display terminals that do not perform navigation. Examples of the fixed station 7 include radio equipment installed by mobile phone service providers and DSRC (Dedicated Short Range Communications) compatible radio equipment installed by the ITS (Intelligent Transport System) provider on the roadside. The unit 54 may access the server 4 via any wireless facility.

The in-vehicle device 5 is a CAN (Controller Area Network) which is an in-vehicle communication network.
Information on the state of the vehicle may be acquired from a vehicle ECU (Electric Control Unit) or various sensors via the control.

<Overview of processing executed in the entire system>
The information distribution system 1 distributes various information sent from the content provider 6 according to the tendency of each user. That is, the server 4 analyzes trends such as the interests and preferences of each user based on the information sent from the in-vehicle device 5 of each vehicle 3. Then, various types of information provided from the content provider 6 are distributed to the user, and the user's reaction to the distributed information is analyzed. In addition, when the server 4 receives a request for information distribution from the content provider 6, the server 4 extracts users to be distributed and registers them in the distribution schedule.

  A schematic diagram of processing executed in the information distribution system 1 is shown in FIG. In the information distribution system 1, setting information such as a destination is uploaded from the in-vehicle device 5 of each vehicle 3 to the center 2 (S1). The server 4 of the center 2 receives the information when it is uploaded from the in-vehicle device 5 of each vehicle 3 (S2). The server 4 of the center 2 analyzes the uploaded information periodically (for example, once a day) to analyze the tendency of each user, and stores the analysis result as trend data in the user information / trend database. .

  For example, when the administrator of the content provider 6 desires immediate information distribution, the data regarding the content of the information to be distributed is transmitted to the server 4 (S4). For example, when the administrator of the content provider 6 wishes to distribute information according to the schedule, the data regarding the content of the information to be distributed is transmitted to the server 4 together with the schedule data (S5).

  When the server 4 of the center 2 receives an immediate information distribution request (S6), it stores the information to be distributed in the distribution information database and extracts the user to be distributed from the user information / trend database (S7). When the server 4 of the center 2 receives a request for information distribution according to the schedule (S8), the server 4 stores the information to be distributed in the distribution information database and registers the schedule for distributing the information in the distribution schedule database.

  The server 4 of the center 2 receives an immediate information distribution request from the content provider 6 and extracts a distribution target user (S7), or transmits a periodic trigger based on the internal clock of the server 4 When an information distribution trigger occurs (S10), a schedule has arrived, and when a user to be distributed is extracted at the scheduled distribution date and time (S9), information to be distributed by accessing the distribution information database is obtained. Extract (S11). Then, the distribution information is transmitted to the in-vehicle device 5 used by the distribution target user (S12).

  The in-vehicle device 5 receives the information delivered from the server 4 (S13). The in-vehicle device 5 uploads information related to the user's reaction, such as whether or not the user browses the distributed information, to the server 4 (S14).

  The server 4 of the center 2 collects information related to the user's reaction from the in-vehicle device 5 (S15). Then, the server 4 of the center 2 analyzes the collected information and corrects the information in the user information / trend database (S16).

  The outline of the processing executed in the entire information distribution system 1 is as described above. The processor 51 of the in-vehicle device 5 and the processor 41 of the server 4 form the information distribution system 1 in cooperation with each other while exchanging data as described above. However, the processing is not always performed in conjunction with each other. That is, the outline of the processing executed in the entire information distribution system 1 is realized by the processors executing the computer program independently of each other.

<Processing flow executed by the processor 51 of the in-vehicle device 5>
A processing flow executed by the processor 51 of the in-vehicle device 5 will be described with reference to the processing flow diagram of FIG.

(Step S101) When the driving source of the vehicle 3 is turned on, the processor 51 of the in-vehicle device 5 collects various data related to the user's tendency. Data collection is performed, for example, as follows. That is, the processor 51, for example, the image of the vehicle interior camera sent from the measurement system via the CAN, the seat weight sensor, the sound collecting microphone, the presence or absence of passengers based on the user input, the number of passengers, the type of passenger (adult Data on men, adult women, children, etc.) is acquired and stored in the memory 52. Further, the processor 51 acquires data on the destination set on the navigation screen and the position and time of the vehicle 3 measured by the GPS device, and accumulates them in the memory 52.

  (Step S <b> 102) The processor 51 of the in-vehicle device 5 determines whether it is time to transmit the data stored in the memory 52 to the server 4. The processor 51 of the in-vehicle device 5 transmits the data stored in the memory 52 to the server 4 when, for example, there is a manual upload request by the user or when the automatic upload timing defined by the information distribution system 1 comes. . The timing of automatic uploading is preset according to the capacity of the memory 52, the frequency with which the vehicle 3 is used, the accuracy of the trend analysis executed by the server 4, and the like, for example, constant when ACC is turned on. For example, when a certain amount of time has elapsed, the amount of data stored in the memory 52 has reached a specified amount, and the like.

  (Step S103) If the processor 51 of the in-vehicle device 5 determines that it is time to transmit data to the server 4, it transmits the data stored in the memory 52 to the server 4 (S1). That is, when an affirmative determination is made in the process of step S102, the processor 51 reads the data stored in the memory 52 and sends the data together with information for identifying the in-vehicle device 5 to the transmission / reception unit 54. The transmission / reception unit 54 attempts to access the nearest fixed station 7. When a communication line is established between the in-vehicle device 5 and the fixed station 7, data is transmitted from the transmission / reception unit 54 to the server 4 via the fixed station 7 and the network 8. Since the processor 41 of the server 4 is always operating, the data sent from the in-vehicle device 5 is accumulated in the database 44 by processing on the server 4 side described later (S2).

  (Step S <b> 104) The processor 51 of the in-vehicle device 5 determines whether or not information is distributed from the server 4 after executing the processing of Step S <b> 102 or Step S <b> 103. That is, the processor 51 of the in-vehicle device 5 determines whether or not a notification that information is to be distributed is sent from the server 4 via the network 8.

  (Step S105) When the processor 51 of the in-vehicle device 5 detects that a notification that information is to be distributed is sent from the server 4 (S12), it accesses the server 4 via the network 8 and stores the data of the distribution information. Download (S13). Then, the processor 51 of the in-vehicle device 5 causes the display device 53 to display the downloaded distribution information on the screen.

  (Step S106) The processor 51 of the in-vehicle device 5 determines whether or not the user's reaction to the information distributed from the server 4 is confirmed. In other words, the processor 51 of the vehicle-mounted device 5 is configured so that the user browses the distribution information displayed on the display device 53 by the process of step S105, or the server 51 when the specified time has passed without the user browsing the distribution information. 4, it is determined that the user's reaction to the information distributed from 4 is confirmed. Here, the prescribed time is a time during which it can be determined that the distributed information does not attract the user's interest. For example, the prescribed time notified from the server 4 together with the distribution information, or the in-vehicle device It is a specified time preset on the 5th side. For example, in the case of distribution information such as a special time sale that starts from the evening of the day, the distribution information does not attract the user's interest unless the user views the distribution information even in the evening of the day. Can be confirmed.

The reaction to the distributed information is determined based not only on whether or not the distributed information has been browsed, but on the basis of whether or not the vehicle 3 has moved to the location indicated in the distributed information, for example. You may make it do. Information indicating the location includes, for example, leisure distribution information such as sightseeing spots and theme parks, leisure distribution information such as movies, concerts and events, shopping distribution information such as shopping malls, outlets, department stores and brand shops, restaurants And distribution information on food and drink such as chain stores. The processor 51 of the in-vehicle device 5 refers to the distribution information indicating such a location, and the user sets the location as the destination on the navigation screen within a specified time after the information is distributed, or the information is When the vehicle 3 arrives at or passes through the location (or within a radius of several tens of meters from the location) within a specified time after delivery, it is determined that there has been a user response to the delivered information. Can do.

  (Step S107) When the processor 51 of the in-vehicle device 5 determines that the user's reaction to the information distributed from the server 4 is confirmed, the processor 51 uploads information related to the user's reaction to the server 4 (S14). In other words, when the processor 51 makes an affirmative determination in the process of step S106, the in-vehicle device 5 is identified with respect to the distribution information that the user has browsed the content or the data related to the distribution information that has passed the specified time without being browsed by the user. To the transmitter / receiver 54 together with the information to be transmitted. The transmission / reception unit 54 attempts to access the nearest fixed station 7. When a communication line is established between the in-vehicle device 5 and the fixed station 7, data is transmitted from the transmission / reception unit 54 to the server 4 via the fixed station 7 and the network 8. Since the processor 41 of the server 4 is always operating, the data sent from the in-vehicle device 5 is accumulated in the database 44 by processing on the server 4 side described later (S15).

  The processing flow executed by the processor 51 of the in-vehicle device 5 is as described above. When the processor 51 of the in-vehicle device 5 repeatedly executes the above-described series of processes, processes such as various data collection related to user tendencies, upload of collected data, and display of distribution information are executed. The series of processes is repeatedly executed based on the internal clock of the in-vehicle device 5 when the driving source of the vehicle 3 is turned on.

<Processing flow executed by the processor 41 of the server 4>
Next, the processing flow executed by the processor 41 of the server 4 will be described with reference to the processing flow diagram of FIG. The processing flow shown below is repeatedly executed by the processor 41 when the system power supply of the server 4 is established by the administrator of the server 4 and the computer program is loaded into the memory 42.

  (Step S201) The processor 41 of the server 4 determines whether or not the in-vehicle device 5 is about to upload data. That is, the processor 41 of the server 4 determines whether a notification to upload data is sent from the in-vehicle device 5 via the network 8.

  (Step S202) When the processor 41 of the server 4 detects that a notification to upload data is sent from the in-vehicle device 5 (S2), the processor 41 notifies the in-vehicle device 5 that the data can be received. To. Thereby, data upload by the processor 51 of the vehicle-mounted device 5 is started. The processor 41 of the server 4 stores the data uploaded from the in-vehicle device 5 in the database 44.

(Step S203) The processor 41 of the server 4 determines whether it is time to analyze the tendency of each user. That is, for example, the processor 41 of the server 4 executes a tendency analysis process for each user based on the data stored in the database 44 at the timing specified by the information distribution system 1. The timing for executing the trend analysis process is set in advance according to the ability of the server 4 and the accuracy when determining the delivery destination. For example, when the fixed time (every day) elapses, the administrator of the server 4 Can request the start of the trend analysis process.

  (Step S204) When the processor 41 of the server 4 determines that it is time to execute the trend analysis process, the processor 41 executes the following trend analysis process (S3). An overview of the trend analysis process executed by the processor 41 of the server 4 is shown in FIG.

  In the database 44 of the server 4, the destination setting history of each user who uses the vehicle-mounted device 5 of each vehicle 3 is stored by executing the process of step S <b> 202 described above. Therefore, the processor 41 of the server 4 accesses the database 44, analyzes the destination setting history of each user, and extracts trends such as interests and preferences of each user by category. That is, the processor 41 of the server 4 displays the destination setting history set by the user, for example, “by date and time”, “by area”, “presence / absence of passengers”, “type of passenger”, or “passenger type”. Sort by “number of people”.

  For example, it is assumed that the destination setting history of a specific user stored in the database 44 is as shown in FIG. In the case of this user, when the destination setting history is sorted by “date and time”, it is often found that the user often goes around 20:00, then goes around 7 o'clock, and then goes around 10 o'clock. . In addition, when the destination setting history is classified into “by area”, it is found that the most frequent is the point C, the second is the point B, and the second is the point A. In addition, if the destination setting history is sorted by “with / without passengers”, there are often no passengers, followed by four adult male passengers, followed by one adult male person. It can be seen that there is often one adult female passenger.

  Further, the processor 41 of the server 4 extracts a common term common to each category. That is, the processor 41 of the server 4 displays the destination setting history set by the user, for example, “date and time and area”, “date and time and passenger presence”, “date and time and passenger type”, “date and time” And “By passenger number”.

  For example, in the example of FIG. 6, when the destination setting history is sorted into “date and time and area”, it is about 20:00 to go to point C, and about 7 o'clock to go to point B. I know that there is. In addition, if the destination setting history is sorted according to “date and time and passenger presence / absence”, it can be seen that there is no passenger when going to point C, and there is a passenger when going to point A and B. .

  The processor 41 of the server 4 extracts the user tendency as shown in FIG. 7 for each user by analyzing the destination setting history of each user stored in the database 44. The processor 41 of the server 4 stores the analyzed tendency data of each user in the database 44.

  (Step S205) The processor 41 of the server 4 determines whether or not there is a request for immediate information delivery from the content provider 6. That is, the processor 41 of the server 4 determines whether or not a request to immediately execute information distribution is sent from the content provider 6 via the network 8.

  (Step S206) When the processor 41 of the server 4 receives a request to immediately distribute information from the content provider 6 (S6) and makes an affirmative determination in the process of Step S205, the following distribution is performed: Execute the process. An overview of the distribution process (pattern 1) executed by the processor 41 of the server 4 is shown in FIG.

The processor 41 of the server 4 stores the data related to the contents of the distribution information received from the content provider 6 in the database 44 and executes a process of extracting users to be distributed (S7). In the process of extracting the users to be distributed, the processor 41 of the server 4 accesses the database 44 to refer to the tendency data of each user, and shows the same tendency as the users to be distributed designated by the content provider 6. Extract users who have.

  That is, the processor 41 of the server 4 not only extracts the distribution target user designated by the content provider 6 from the database 44 when extracting the distribution target user, but also the distribution target designated by the content provider 6. A user whose tendency is similar to that of the user is also extracted. Extraction of users whose trends are approximated is performed based on whether or not the tendency data of the users stored in the database 44 are compared with each other and the degree of coincidence of the trend data satisfies a prescribed threshold.

  For example, the degree of coincidence of trends is considered for three users, user A, user B, and user C. FIG. 9 is a conceptual diagram showing the range of interest of each user. When there are many coincident points in the trend data of the user A and the user B, it is considered that the information that the user A is interested in is likely to be interested in the user B. On the other hand, when there are few coincident points in the trend data of the user A and the user C, it is considered that the possibility that the user C is interested in the information that the user A is interested in is low.

  From the degree of coincidence of the tendency data of each user, when the range of interest of each user is as shown in FIG. 9, the content of the information to be distributed is positioned as indicated by symbol P in FIG. In this case, since the users corresponding to the conditions for distribution specified by the content provider 6 are the user A and the user B, the information is distributed to both. On the other hand, if the content of the information to be distributed is positioned as indicated by the symbol Q in FIG. 9, the user corresponding to the conditions for the distribution target specified by the content provider 6 is only the user A. The information is distributed only to user A, and is not distributed to user B. However, as described above, when there are many coincidence points in the tendency data of the user A and the user B, it is considered that the user B is likely to be interested in information that the user A is interested in. The degree of coincidence of the trend data is determined based on the numerical degree of coincidence of the weighting factors of various elements representing the user's tendency, the degree of coincidence of the keywords, and the like. The determination is made based on whether the matching degree of the weight coefficient is within a predetermined range or whether the number of matching keywords is within the predetermined number. These condition determination thresholds are set as appropriate by the operator operating the system.

  Therefore, the processor 41 of the server 4 not only extracts the distribution target user designated by the content provider 6 from the database 44 when extracting the distribution target user, but also shows the tendency of each user as shown in FIG. By comparing the data and extracting a user whose tendency is similar to that of the distribution target user specified by the content provider 6, the user B is set as the distribution target of the positioning information as indicated by the symbol Q in FIG. 9. include. As a result, information related to a new object of interest that has not been recognized by the user B can be obtained, and the possibility of finding a new object of interest can be increased.

  When receiving the distribution information from the content provider 6, the processor 41 of the server 4 not only extracts the distribution target user designated from the content provider 6 from the database 44 when extracting the distribution target user, but also the content provider. The user whose tendency is similar to the distribution target user specified from 6 is also extracted. Thereby, as shown in FIG. 11, the user group appropriately selected according to the contents of the distribution information can be extracted.

After completing the extraction of users to be distributed, the processor 41 of the server 4 extracts data relating to the contents of the distribution information stored in the database 44 and generates distribution content data (S11). And the processor 41 of the server 4 delivers information to each vehicle equipment 5 which the extracted user uses (S12).

  (Step S207) The processor 41 of the server 4 determines whether or not there is a registration request for information distribution based on the schedule from the content provider 6 after executing the processing of Step S205 or Step S206. That is, the processor 41 of the server 4 determines whether a request for executing registration of information distribution based on the schedule is sent from the content provider 6 via the network 8.

  (Step S208) When the processor 41 of the server 4 determines that there is a request to execute registration of information distribution based on the schedule, the processor 41 of the server 4 obtains data related to the content of the distribution information transmitted from the content provider 6 and data of the distribution schedule. Store in database 44.

  (Step S209) The processor 41 of the server 4 determines whether it is time to distribute the information registered by the process of step S208. That is, the processor 41 of the server 4 refers to the distribution schedule registered in the database 44 and determines whether or not there is a schedule for which information is to be distributed.

  (Step S210) When the processor 41 of the server 4 determines that there is a schedule for timing of distributing information, the processor 41 executes the following distribution process (S9-12). An overview of the distribution process (pattern 2) executed by the processor 41 of the server 4 is shown in FIG.

  When the system manager generates an information distribution trigger based on the internal clock (S10), the processor 41 of the server 4 extracts users to be distributed at the distribution timing specified by the distribution schedule notified from the content provider 6. The process to perform is executed (S9). In the process of extracting the users to be distributed, the processor 41 of the server 4 accesses the database 44 to refer to the data of each user's tendency as in the process of step S206, and the distribution specified by the content provider 6 is performed. A user having the same tendency as that of the target user is extracted.

  After completing the extraction of users to be distributed, the processor 41 of the server 4 extracts data relating to the contents of the distribution information stored in the database 44 and generates distribution content data (S11). And the processor 41 of the server 4 delivers information to each vehicle equipment 5 which the extracted user uses (S12).

  (Step S211) The processor 41 of the server 4 determines whether or not the in-vehicle device 5 is about to upload data of information related to the user's reaction after executing the processing of Step S209 or Step S210. That is, the processor 41 of the server 4 determines whether a notification to upload data is sent from the in-vehicle device 5 via the network 8.

  (Step S212) When the processor 41 of the server 4 detects that a notification to upload data of information related to the user's reaction is sent from the in-vehicle device 5 (S15), it is in a state where data can be received. A notification to this effect is sent to the in-vehicle device 5. Thereby, data upload by the processor 51 of the vehicle-mounted device 5 is started. The processor 41 of the server 4 stores the data uploaded from the in-vehicle device 5 in the database 44.

(Step S213) The processor 41 of the server 4 determines whether it is time to correct the tendency of each user. That is, for example, the processor 41 of the server 4 executes a tendency correction process for each user based on the data stored in the database 44 at the timing specified by the information distribution system 1. The timing for executing the trend correction processing is set in advance according to the ability of the server 4 and the accuracy when determining the delivery destination. For example, when the fixed time (every day) elapses, the administrator of the server 4 Can request the start of the trend analysis process.

  (Step S214) When the processor 41 of the server 4 determines that it is time to execute the trend correction process, the processor 41 executes the following trend correction process (S15). FIG. 13 shows the concept of the user's reaction to the distribution information, the strength of the user's reaction, and the degree of interest in the information distribution. As shown in FIG. 13, for example, when the distributed information is viewed immediately, the location indicated in the distribution information is set as the destination on the navigation screen, and the user actually moves, the user's interest in the distribution information is It can be said that it is expensive. On the other hand, for example, when viewing the distributed information but deleting it without actually moving or viewing the distributed information, it can be said that the user's interest in the distribution information is low.

  Therefore, the processor 41 of the server 4 analyzes data of information related to the user's reaction stored in the database 44, and the tendency of the user stored in the database 44 from the degree of the user's response to specific distribution information. Correct the data about. The correction of the data related to the user's tendency stored in the database 44 is performed, for example, in accordance with the degree of interest / preference assigned in advance to the user's reaction mode. Increase or decrease the data weight for each trend. For example, as shown in FIG. 14, the degree of interest / preference assigned in advance to the user's reaction mode is set in three stages of “high / medium / low”. The weight of the corresponding trend data is added. If it is “low”, the weight of the corresponding trend data is subtracted. If it is “medium”, neither addition nor subtraction is performed.

  When such processing is repeatedly executed, the data relating to the tendency of each user stored in the database 44 is gradually corrected. For example, as shown in FIG. The coincidence points of the user B gradually decrease, or the coincidence points of the user A and the user B who have few coincidence points in the trend data gradually increase. As a result, when the degree of coincidence of the trend data between the user A and the user B does not satisfy the prescribed threshold, the code Q distributed to both the user A and the user B in step S206 and step S210 is shown. The information on the content of such positioning is not distributed to the user B. In addition, when the degree of coincidence of the trend data between the user A and the user C satisfies the specified threshold, the code Q that has not been distributed to the user C in step S206 or step S210 is indicated by Information on the contents of the positioning is distributed to both the user A and the user C.

  Note that the presence / absence of interest in the distribution information is not limited to the presence / absence of the user's reaction to the information distributed only once. For example, as shown in FIG. You may make it determine according to the frequency | count of delivery. For example, as shown in <Case 1> of FIG. 16, if there is no response from the user even if the information is distributed three times, the degree of interest / preference is set to “low”, and the second to third times as shown in <Case 2>. If there is a user's response in the distribution, the degree of interest / preference is set to “medium”, and if there is a user response in the first distribution as shown in <Case 3>, the degree of interest / preference is set to “high”. You may do it.

The processing flow executed by the processor 41 of the server 4 is as described above. When the processor 41 of the server 4 repeatedly executes the above-described series of processes, the user tendency analysis and various information distribution processes are executed. When the system power supply of the server 4 is established by the administrator of the server 4 and the computer program is loaded into the memory 42, the series of processes described above is performed periodically (for example, every minute). ) Is executed.

<Effect>
According to the information distribution system 1, information can be distributed by appropriately selecting users to be distributed.

  In the above embodiment, the server 4 receives the information distribution request transmitted from the content provider 6 (S6). However, even if the user transmits the information distribution request to the server 4 from the in-vehicle device 5. Good. An outline of the distribution process (pattern 3) executed by the processor 41 of the server 4 in this case is shown in FIG.

  When the processor 41 of the server 4 receives the request for the distribution request from the in-vehicle device 5, the processor 41 extracts the tendency of the requested user from the database 44. Further, the processor 41 of the server 4 extracts the requested information data from the database 44.

  Next, the processor 41 of the server 4 accesses the database 44 to refer to the tendency data of each user, and extracts users having the same tendency as the user who requested the distribution request. The extraction of users whose trends are approximate is performed by comparing the trend data of the user who requested the distribution request with the trend data of other users stored in the database 44, and the degree of coincidence of the trend data is a prescribed threshold value. This is based on whether or not the condition is satisfied.

  The processor 41 of the server 4 completes the extraction of the users to be distributed, and then sends the requested information data to the in-vehicle device 5 of the user who transmitted the request for distribution and the user who transmitted the request for distribution It distributes to each in-vehicle device 5 used by a user whose trend data approximates to the user who transmitted the request for the distribution request.

  Regarding information that a specific user needs, it is considered that there is a high possibility that the user who has a tendency similar to that of the user will be interested. If it is the said modification, information can be delivered appropriately to the user who needs information.

<Computer-readable recording medium>
A program for causing a computer or other machine or device (hereinafter, a computer or the like) to realize any of the above functions can be recorded on a recording medium that can be read by the computer or the like. The function can be provided by causing a computer or the like to read and execute the program of the recording medium.

  Here, a computer-readable recording medium is a recording medium that stores information such as data and programs by electrical, magnetic, optical, mechanical, or chemical action and can be read from a computer or the like. Say. Examples of such a recording medium that can be removed from a computer or the like include a flexible disk, a magneto-optical disk, a CD-ROM, a CD-R / W, a DVD, a Blu-ray disk, a DAT, an 8 mm tape, a flash memory, and the like. There are cards. In addition, as a recording medium fixed to a computer or the like, there are a hard disk, a ROM (read only memory), and the like.

1 .... Information distribution system, 2 .... Center, 3 .... Vehicle, 4 .... Server, 5 .... In-vehicle device, 6 .... Content provider, 7 .... Fixed station, 8 .... Network, 41 .... Processor, 42..Memory, 43..Communication I / F, 44..Database, 51..Processor, 52..Memory, 53..Display device, 54..Transceiver

Claims (5)

An information distribution device that distributes information to information terminals of each user,
Storage means for storing user trend data relating to user trends;
When a distribution information distribution request for a specific user is received, a user group is extracted based on the user tendency data stored in the storage unit, and the degree of coincidence between the specific user and the specific user and the trend satisfies a predetermined condition A distribution processing means for distributing the distribution information to a user group;
User tendency correction means for correcting user tendency data stored in the storage means according to the degree of response of each user to the distributed delivery information ;
When the user tendency correction unit receives the movement status of each user with respect to the position related to the distributed distribution information from the information terminal of each user, the user trend correction unit analyzes the movement status of each user and stores it in the storage unit Modifying the user trend data being
Information distribution device. When the user tendency correcting means determines that the user has actually moved to a position related to the distribution information, the user tendency correction is made on the assumption that the user's interest is high, and the user has passed the position related to the distribution information. If it is determined that the user's interest is low, the user tendency data is corrected.
The information distribution apparatus according to claim 1 . The user tendency correcting means corrects the user tendency data according to a time until the user actually starts moving to a position related to the distribution information.
The information distribution apparatus according to claim 1 or 2 . An information distribution method executed by a device that distributes information to information terminals of each user,
Upon receiving a distribution information distribution request for a specific user, a user group is extracted based on the user trend data stored in the storage means for storing user trend data relating to the user's trend, and the specific user, the specific user and the trend The distribution information is distributed to a group of users whose degree of coincidence satisfies a predetermined condition,
According to the degree of reaction of each user to the distributed distribution information, the user tendency data stored in the storage means is corrected ,
When correcting the user tendency data, when the movement status of each user with respect to the position related to the distributed distribution information is received from the information terminal of each user, the movement status of each user is analyzed and the storage is performed. Correcting the user trend data stored in the means;
Information distribution method. An information distribution program executed by a device that distributes information to information terminals of each user,
Upon receiving a distribution information distribution request for a specific user, a user group is extracted based on the user trend data stored in the storage means for storing user trend data relating to the user's trend, and the specific user, the specific user and the trend Processing for distributing the distribution information to a group of users whose degree of coincidence satisfies a predetermined condition;
A process of correcting user tendency data stored in the storage unit according to the degree of response of each user to the distributed distribution information ,
In the process of correcting the user tendency data, when the movement status of each user with respect to the position related to the distributed distribution information is received from the information terminal of each user, the movement status of each user is analyzed, and the storage Modifying the user trend data stored in the means;
Information distribution program.

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