JP2009087156A - Information providing device, mobile terminal, information providing method, and program - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide content which conforms to a user's situation when distribution is made. <P>SOLUTION: An information distribution system predicts a place at which a user acts at a date and time of distribution of distribution information (step S41 and step S42). What relates to the forecasted place at which the user acts is selected from the distribution information (step S43), and the selected distribution information is transmitted to a mobile terminal at the date and time of the distribution. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to an information providing apparatus, a portable terminal, an information providing method, and a program for providing information to a user.

2. Description of the Related Art Conventionally, there is a technology that provides content according to user preferences and the like. For example, Patent Document 1 discloses a technique for providing content (information) to a user based on the user's bookmark information. In addition, “recommendation technology” that analyzes the future selection tendency from the selection history of the user's past information and products, etc., and provides content that is considered to respond to the interests and preferences of each user is becoming widespread. .
JP 2006-23793 A

By the way, in the conventional technology for providing content according to the user's preference, for example, even if content related to the use of the facility is distributed, the facility may not be used depending on the situation of the user at the time of distribution. For example, when the user does not plan to go to the area where the facility is located on the day when the content is distributed. In such a case, the usefulness of the provided content is low for the user.
According to the present invention, content that matches the user's situation at the time of distribution is provided.

  In order to solve the above problem, the information providing apparatus according to claim 1 according to the present invention is an information providing apparatus that provides distribution information to a user via a portable terminal, and detects a distribution date and time of the distribution information. From the distribution information for which the distribution date is detected by the distribution date and time detection means, the behavior place prediction means for predicting the user's action location of the distribution date and time detected by the distribution date and time detection means, It comprises selection means for selecting a user's behavior location predicted by the prediction means, and transmission means for transmitting the distribution information selected by the selection means to the portable terminal at the distribution date and time.

An information providing apparatus according to claim 2 of the present invention is the information providing apparatus according to claim 1, further comprising user action information storage means for storing information of a user's action schedule, wherein the action place predicting means. However, based on the information of the user's action schedule, the user's action at the delivery date and time is predicted.
According to a third aspect of the present invention, there is provided the information providing apparatus according to the first or second aspect, wherein the user specific information storage means stores user specific information and the user specific information storage means. Distribution information determination means for determining distribution information based on user-specific information stored in the distribution information determination means, wherein the selection means is distribution information determined by the distribution information determination means, and the distribution date and time detection means From the distribution information in which the distribution date and time is detected, information related to the user's action place predicted by the action place prediction means is selected.

  According to a fourth aspect of the present invention, there is provided a portable terminal for outputting distribution information provided from an information providing device to a user, a distribution date and time detecting means for detecting a distribution date and time of the distribution information; The user predicted by the action location prediction means from the action location prediction means for predicting the action place of the user at the delivery date and time detected by the delivery date and time detection means, and the delivery information whose delivery date and time is detected by the delivery date and time detection means. A selection means for selecting an action place, a distribution request means for requesting the information providing apparatus so that the distribution information selected by the selection means is distributed at the distribution date and time, and a request made by the distribution request means Corresponding to the above, an output means for outputting the distribution information transmitted from the information providing device to the outside.

  Moreover, the information provision method of Claim 5 which concerns on this invention is distributed to a user using the information provision system provided with a portable terminal and the information provision apparatus which provides distribution information to the user who uses the said portable terminal. An information providing method for providing information, wherein either the information providing device or the mobile terminal detects a delivery date and time of detecting the delivery date and time of the distribution information, and any of the information providing device and the mobile terminal is The behavior location prediction step of predicting the user's behavior location of the delivery date and time detected in the delivery date and time detection step, and the delivery information in which the delivery date and time is detected in the delivery date and time detection step by either the information providing device or the mobile terminal A selection step for selecting a user's action place predicted in the action place prediction step, and the information providing apparatus selects in the selection step. A transmission step of transmitting the distribution information to the portable terminal to the delivery date and time, the portable terminal, and having and an output step of externally outputting distribution information transmitted by said transmitting step.

  According to a sixth aspect of the present invention, there is provided a program for providing information to a user using an information providing system including a portable terminal and an information providing apparatus that provides information to a user who uses the portable terminal. A delivery date and time detection step for detecting a delivery date and time of the delivery information; an action place prediction step for predicting a user's action place at the delivery date and time detected in the delivery date and time detection step; and the delivery date and time detection step. A selection step for selecting a user's behavior location predicted by the behavior location prediction means from the delivery information in which the delivery date and time is detected, and the delivery information selected in the selection step is delivered at the delivery date and time. In response to the distribution request step requested from the information providing apparatus and the request made in the distribution request step, the information providing apparatus An output step that is externally outputs the distribution information that has been, is characterized in that to execute the portable terminal.

  ADVANTAGE OF THE INVENTION According to this invention, the delivery information which matched the user's condition at the time of delivery can be provided by estimating the user's action place of delivery date and delivering the delivery information regarding the predicted user's action place.

The best mode for carrying out the present invention (hereinafter referred to as an embodiment) will be described in detail with reference to the drawings.
(Constitution)
The present embodiment is an information distribution system.
FIG. 1 is a system configuration diagram showing the configuration of the information distribution system 10.

  As shown in FIG. 1, an information distribution system 10 includes a mobile communication terminal 20 configured by a mobile phone or the like, and an information distribution server 40 that distributes content (distribution information) determined according to user scheduler information and the like. With. In FIG. 1, the information distribution server 40 includes a user information DB (database) 51, a rule DB (or table) 52, a content DB (or table) 53, and a location condition range management DB (or table) 54. The In addition, the information delivery server 40 in FIG. 1 shows a schematic configuration.

  The information distribution server 40 is stored in the content DB 53 based on the preference determination rule, the timing control rule stored in the rule DB 52, and the user information (user-specific information such as preference information) stored in the user information DB 51. The selected content is selected, and the selected content is distributed to the mobile communication terminal 20. Here, in addition to selecting and distributing content, a content category can also be selected and distributed. For the sake of simplicity, the following description will be made with reference to selecting and distributing content. The mobile communication terminal 20 notifies the user of the received content, so that the user can receive content that suits his / her preference.

FIG. 2 is a block diagram illustrating functional configurations of the mobile communication terminal 20 and the information distribution server 40.
The information distribution server 40 includes an information reception unit 41, a recommendation rule matching unit 42, a distribution date validity determination unit 43, a content acquisition unit 44, a filtering unit 45, an information transmission unit 46, a user information DB 51, a rule DB 52, a content DB 53, and a place. A condition range management DB 54 is provided. Each of these functional elements is configured by hardware as follows and performs processing.

FIG. 3 is a hardware configuration diagram of the information distribution server 40.
As shown in FIG. 3, the information distribution server 40 physically includes a CPU 101, a RAM 102 and a ROM 103 which are main storage devices, an auxiliary storage device 105 such as a hard disk, an input device 106 such as a keyboard and a mouse which are input devices, The computer system includes an output device 107 such as a display and a communication module 104 that is a data transmission / reception device such as a network card.

  Each function described in FIG. 2 has a communication module 104, an input device 106, and an output device 107 under the control of the CPU 101 by reading predetermined computer software on hardware such as the CPU 101 and the RAM 102 shown in FIG. This is realized by reading and writing data in the RAM 102 and the auxiliary storage device 105. Hereinafter, each functional block will be described based on the functional blocks shown in FIG.

The information receiving unit 41 is information transmitted from the mobile communication terminal 20, specifically, personal history information (purchase history information, web access history information, web search history information, etc.), preference information, current location information (terminal location) Information), personal profile information, and schedule information (implementation date and time, location, etc.) and the terminal ID (user ID) of the mobile communication terminal 20 are received. The information receiving unit 41 identifies the received information, outputs it to the user information DB 51, and stores it in each table.
Here, the preference information is, for example, “I like bread” or “I like flowers”, and the current position information is, for example, “Yokohama Station”, “Shinjuku Station”, etc. For example, home address, gender or “home station name is Yokohama Station” or “living alone”, and the schedule information is “go to Italy this summer”.

The user information DB 51 includes a personal history / preference table (or DB) 51a, a personal profile table (or DB) 51b, a personal schedule table (or DB) 51c, and a personal current location table (or DB) 51d. Each of these tables stores information received by the information receiving unit 41. Here, in the user information DB 51, each information is stored in association with the terminal ID of the mobile communication terminal 20.
The rule DB 52 includes a preference determination rule management table 52a, a timing control rule management table 52b, and a preference-timing mapping table 52c. The recommendation rule matching unit 42 includes a preference determination rule matching unit 42a and a timing control rule matching unit 42b.

  The preference determination rule management table 52a is composed of combinations of various user information (user-specific information) such as personal history information, preference information, current position information, personal profile information, and schedule information stored in the user information DB 51. Information and a rule for determining a preference of the user of the mobile communication terminal 20 is stored. FIG. 4 shows an example of the preference discrimination rule. In the preference determination rule management table 52a, a rule is described for each rule ID as shown in FIG. This preference determination rule is expressed by logical expressions of various user information such as personal history information, preference information, current position information, personal profile information, and schedule information, and is described using AND conditions and OR conditions. Note that the information described in the preference determination rule is not limited to the user information stored in the user information DB 51, but is information that can be arbitrarily determined by the operator of the information distribution server 40.

  In the example of FIG. 4, the rule {C1 and C2 and {C3 or C4}} is described for the rule ID: P0001. Here, the information C1, the information C2, the information C3, and the information C4 indicate user information. For example, when the information C1 is location information, the information C1 = “Location: Yokohama” and the information C2 are web search. If it is a keyword, the information C2 = “Keyword: japan”, if the information C3 is purchase history information, the information C3 = “Buy: ticket”, and if the information C4 is Web access history information, the information C4 = “Webaccess: http: abc.cc.com” is defined. For example, when the information C1 is preference information, the information C1 = “Like: bread” is defined. When the information C2 is personal profile information, the information C2 = “Profile: single” is defined. In addition, in the case of a schedule (schedule information), “Schedule: Travel” or the like can be defined, and the rule includes one or more pieces of information. This rule ID: P0001 indicates that “matching is successful when the information is matched with information C1, information 2, and information that matches either information C3 or information C4”.

  When the information receiving unit 41 receives information from the mobile communication terminal 20, the preference determination rule matching unit 42a reads all information corresponding to the mobile communication terminal 20 stored in the user information DB 51, and the preference determination rule management table It is determined whether the preference determination rule stored in 52a exists in all the read information. For example, the preference discrimination rule matching unit 42a targets all information stored in the user information DB 51 when {C1 and C2 and {C3 or C4}} are described in the preference discrimination rule management table 52a. In addition, it is determined whether the information C1 and the information C2 are stored, and at least one of the information C3 and the information C4 is stored.

  The timing control rule management table 52b is information composed of a combination of various user information such as personal history information, preference information, current position information, personal profile information, and schedule information stored in the user information DB 51. A rule for determining the content distribution timing to the user of the communication terminal 20 is stored. FIG. 5 shows an example of the timing control rule. In the timing control rule management table 52b, as shown in FIG. 5, rule IDs and timing control rules are described in association with each other. Note that the timing control rule is expressed by logical expressions of various types of user information like the preference determination rule, and is described using AND conditions and OR conditions. The information described in the timing control rule is not limited to the information stored in the user information DB 51, and is information that can be arbitrarily determined by the operator of the information distribution server 40.

  As shown in FIG. 5, the rule {C8 (1) or C9 (3) or C10 (-3)} is described for the rule ID T0001. Here, the information C8, the information C9, and the information C10 indicate user information, and when the information C8 is current location information, for example, information C8 = “Location: Yokohama” is defined. And this rule ID: T0001 is information that matches either “information C8 (execution priority flag 1), information C9 (execution priority flag 3), or information C10 (execution priority flag-3)”. If it is verified, it is regarded as matching success ”.

  Here, the execution priority flag consisting of numbers (here, “1”, “3”, “−3”) in parentheses attached to the information Cn (here, n = 8, 9, 10) in the rule is: The difference between a predetermined date and time specified for each user information and the delivery date and time is shown. Here, if the user information is personal history information, the predetermined date and time is a history acquisition date and time, and if the user information is current location information, it is the date and time at the current location (current location acquisition date and time). If so, it is a scheduled date (execution date). The execution priority flag is determined in units (seconds, minutes, hours, days) according to the user information. For example, using an identification symbol such as “s” for seconds, “m” for minutes, “h” for hours, or “d” for days, {C8 (d1) or C9 (h3) or C10 (d-3)} can also be used.

In addition, as can be seen from the meaning of the execution priority flag, it is meaningful to determine the distribution timing of information whose content validity is increased by the distribution date and time by the execution priority flag, so that preference information, personal profile information, etc. Is distributed regardless of the execution priority flag. For example, in such a case, the execution priority flag is set to “0”.
The timing control rule also describes distribution period information for limiting the content distribution period. Thereby, the timing control rule matching unit 42b determines whether or not the distribution date and time of the content is within a distribution period (for example, June 1 to June 30) serving as the timing control rule.

  For example, when information C8 (Location: Yokohama) that is current location information is notified and the acquisition date and time of the current location information (current location acquisition date and time) is “February 11, 2007, 7:30”, the timing control rule In the information C8, since the execution priority flag is 1 (“within 1 day” or “today”), the current time is “February 11, 2007 7:30 to February 12, 2007 7:30”. Only when it is valid, that is, it is regarded as the optimal delivery timing. In addition, when information C9 (Buy: GoodsA) which is purchase history information is notified and the history acquisition date / time of purchase history information is “February 11, 2007, 7:30”, the information C9 in the timing control rule is Since the execution priority flag is 3 ("within 3 hours" or "within 3 minutes"), it is valid only when the current time is "February 11, 2007 7:30-February 11, 2007 10:30" Is considered. Further, when the information C10 (Schedule: Travel), which is schedule information, is notified and the schedule date of the schedule information is “February 11, 2007, 7:30”, the information C10 is an execution priority flag in the timing control rule. Is -3 (“within 3 days ago”), it is considered to be valid only when the current time is “February 8, 2007 7:30 to February 11, 2007 7:30”.

  The preference-timing mapping table 52c stores the preference determination rule ID described in the preference determination rule management table 52a, the timing control rule ID described in the timing control rule management table 52b, and the mapping ID in association with each other. It is a table to do. Using the preference-timing mapping table 52c, the preference determination rule ID extracted from the preference determination rule management table 52a is extracted from the timing control rule management table 52b.

FIG. 6 shows an example of the preference-timing mapping table 52c.
As shown in FIG. 6, a mapping ID, a preference determination rule ID, and a timing control rule ID are stored in association with each other.
The timing control rule matching unit 42b determines the presence / absence of a timing control rule corresponding to the preference determination rule extracted by the preference determination rule matching unit 42a based on the preference-timing mapping table 52c, and selects the corresponding timing control rule as preference- Extracted from the timing mapping table 52c. Specifically, the timing control rule matching unit 42b extracts the timing control rule ID corresponding to the preference determination rule ID using the preference-timing mapping table 52c, and the timing control corresponding to the extracted timing control rule ID. A rule is extracted from the timing control rule management table 52b.

  Then, the timing control rule matching unit 42b determines whether or not the extracted timing control rule exists in the user information DB 51. For example, when the extracted timing control rule is stored in the timing control rule management table 52b as the rule {C8 (5) or C9 (3) or C10 (1)}, the timing control rule matching unit 42b It is determined whether any one of the information C8, the information C9, and the information C10 is stored in the user information DB 51.

  The delivery date validity determination unit 43 determines the validity of the timing control rule determined to be present in the user information DB 51 by the timing control rule matching unit 42b based on the execution priority flag (distribution timing). For example, when the rule {C8 (1) or C9 (3) or C10 (-3)} is stored in the user information DB 51, the delivery date validity determination unit 43, for example, of the information C8 that is the current position information Whether the acquisition date / time is acquired within one day compared with the distribution date / time, or similarly, the acquisition date / time of the information C9, for example, purchase history information is acquired within three hours compared with the distribution date / time. It is determined whether or not For example, when the information C10 is preference information or personal profile information, there is no restriction by the acquisition date and time of the information (execution priority flag 0), and therefore it is not considered here. When the delivery date validity determination unit 43 determines that the timing control rule is valid, it outputs the timing control rule ID to the content acquisition unit 44.

The content acquisition unit 44 extracts, from the preference-timing mapping table 52c, the mapping ID associated with the timing control rule ID determined to be valid by the delivery date validity determination unit 43, and corresponds to the extracted mapping ID. The content is read from the content DB 53.
The content DB 53 holds a distribution information management table, for example. The distribution information management table is an information management table 53a in which content is associated with a set of a preference determination rule and a timing control rule indicated by a mapping ID. FIG. 7 shows an example of the distribution information management table 53a. As shown in FIG. 7, the distribution information management table 53a stores mapping IDs and text content in association with each other.

  The filtering unit 45 performs filtering that is selected based on the location-related attribute from the content read by the content acquisition unit 44. That is, when the user is acting at the time of content distribution, or for a place related to a place where the user is likely to act from now on, filtering that selects the read content is performed to provide content highly useful to the user. The processing content of the filtering unit 45 will be described in detail in the description of the processing of the information distribution server 40 in FIG.

  The information transmission unit 46 transmits the content obtained by filtering by the filtering unit 45 to the mobile communication terminal 20. Here, the transmission target may be the content category as described above. The information transmission unit 46 stores a terminal ID and a destination (for example, an e-mail address) in association with each other, and transmits to the destination based on the terminal ID of the mobile communication terminal 20 acquired from the user information DB 51. To do.

The configuration of the mobile communication terminal 20 is as follows.
As shown in FIG. 2, the mobile communication terminal 20 includes a history acquisition unit 21, a preference information acquisition unit 22, a current position acquisition unit (terminal position acquisition unit) 23, a personal profile information acquisition unit 24, a schedule information acquisition unit (scheduler information). An acquisition unit) 25, a terminal ID storage unit 26, an information transmission unit 27, an information reception unit 28, a display control unit 29, and a display unit 30. Similarly to the information distribution server 40, the mobile communication terminal 20 is composed of hardware such as a CPU, a RAM, and a ROM, and the above-described functions are executed according to a program. A specific hardware configuration is as shown in FIG.

  The history acquisition unit 21 acquires personal history information such as purchase history information, web access history information, and web search history information. That is, the history acquisition unit 21 acquires purchase history information indicating that a product has been purchased using an IC chip-mounted mobile phone or the like such as a non-contact IC card. Further, the history acquisition unit 21 acquires search history information that the user of the mobile communication terminal 20 has performed a web search, that is, a search keyword input to a search engine on the web. Further, the history acquisition unit 21 acquires access history information for the web by the mobile communication terminal 20, for example, URL. The history acquisition unit 21 holds the acquired purchase history information, web access history information, web search history information (search keywords), etc., and distributes information at predetermined intervals, at a predetermined time, or immediately after acquisition. The information is sent to the information sending unit 27 so that it can be sent to the server 40.

The preference information acquisition unit 22 acquires user preference information of the mobile communication terminal 20, for example, information such as “I like bread” or “I like flowers”. The preference information acquisition unit 22 holds the acquired preference information and outputs it to the information transmission unit 27 so that it can be transmitted to the information distribution server 40 at predetermined intervals, at a predetermined time, or immediately after acquisition.
The current position acquisition unit 23 periodically acquires position information of the mobile communication terminal 20, for example, “Yokohama Station” by GPS (Global Positioning System) or area positioning by a base station. The current position acquisition unit 23 holds the acquired position information and outputs it to the information transmission unit 27 so that it can be transmitted to the information distribution server 40 at predetermined intervals, at a predetermined time, or immediately after acquisition.

  The personal profile information acquisition unit 24 acquires personal profile information of the user of the mobile communication terminal 20, such as gender, current address, or information such as “Home nearest station is Yokohama Station” or “Living alone”. The personal profile information acquisition unit 24 holds the acquired personal profile information and outputs it to the information transmission unit 27 so that it can be transmitted to the information distribution server 40 at predetermined intervals, at a predetermined time, or immediately after acquisition.

  The schedule information acquisition unit 25 acquires schedule and date / time information that is input information to the scheduler by the user. For example, “I will go to Italy this year” or “2007.8.3-15 Italy trip” (2007.8.3-15 Italy trip) is acquired as schedule information. The schedule information acquisition unit 25 may acquire the scheduler information by performing input / output with respect to the scheduler information registered in the web or the like, or may store the scheduler information in a memory in the mobile communication terminal 20. The scheduler information may be acquired. The schedule information acquisition unit 25 holds the acquired scheduler information and outputs it to the information transmission unit 27 so that it can be transmitted to the information distribution server 40 at predetermined intervals, at a predetermined time, or immediately after acquisition.

The information transmission unit 27 includes a date and time (history acquisition date and time, current position acquisition date and time) in various user information acquired by each acquisition unit with respect to a predetermined information distribution server 40, and associates it with a terminal ID indicating itself. To send. The information transmission unit 27 may transmit the history information every time the history information is acquired or at a predetermined cycle. Moreover, the information transmission part 27 has memorize | stored own terminal ID, and transmits log | history information with this terminal ID.
The information receiving unit 28 receives various information including content transmitted from the information distribution server 40.
The display control unit 29 performs control to display information from the information distribution server 40 received by the information receiving unit 28 on the display unit 30 such as a display.

Processing of the information distribution server 40 having the above configuration will be described.
FIG. 8 is a flowchart showing the processing of the information distribution server 40.
As shown in FIG. 8, when the process is started, first, in step S1, the terminal ID and the distribution date and time are acquired. The distribution date and time is the date and time when content is actually distributed to the mobile communication terminal 20, and is arbitrarily determined in advance by the user, the content provider, or the operator of the information distribution server 40 as a specific date or time. ing. Further, when there is a content distribution request from the user, the request timing can be acquired as the distribution date and time.

  Subsequently, in step S2, the recommendation rule matching unit 42 (preference discriminating rule matching unit 42a and timing control rule matching unit 42b) includes a personal history / preference table 51a, a personal profile table 51b, a personal schedule table 51c and a personal information table 51b in the user information DB 51. From the current location table 51d, personal history information, preference information, personal profile information, schedule information, and current position information corresponding to the terminal ID acquired in step S1 are acquired.

  Subsequently, in step S3 to step S19, the preference determination rule matching unit 42a and the timing control rule matching unit 42b apply to the personal history information, preference information, personal profile information, schedule information, and current position information acquired in step S2. , Recommend rule matching. That is, matching is performed based on the preference determination rule and the timing control rule.

  That is, first in step S3, the preference determination rule matching unit 42a determines that the information defined by the preference determination rule stored in the preference determination rule management table 52a of the rule DB 52 is the personal history information acquired in step S2. Matching with the preference determination rule is performed by determining whether or not the preference information, personal profile information, schedule information, and current position information are present. Here, if the information defined in the preference determination rule is present in the information acquired in step S2 and it is determined that the matching is successful (Yes in the subsequent step S4), the process proceeds to step S5. If the information does not exist (No in the subsequent step S4), the processing shown in FIG.

  In step S5, the timing control rule matching unit 42b reads the timing control rule mapped with the preference determination rule matched in step S4. That is, the timing control rule matching unit 42b reads the timing control rule ID corresponding to the preference determination ID of the preference determination rule matched in step S4 from the preference-timing mapping table 52c, and is mapped to the preference determination rule. Read the timing control rule.

  Subsequently, in step S6, the timing control rule matching unit 42b determines whether or not the timing control rule read in step S5 exists in the personal history information acquired in step S2. And personal history information. If it is determined that the information defined in the timing control rule is present in the personal history information acquired in step S2 and matching is successful (Yes in the subsequent step S7), the process proceeds to step S8. If the process does not exist in the personal history information acquired in step S2 (No in the subsequent step S7), the process shown in FIG. 8 ends. If the timing control rule is not based on personal history information in the first place (when personal history information is not described), it is assumed that matching has succeeded and the process proceeds to step S8.

  In step S8, the delivery date validity determination unit 43 matches the difference between the acquisition date and time (history acquisition date and time) of the personal history information acquired in step S2 and the delivery date and the execution priority flag of the timing control rule. . That is, the delivery date validity determination unit 43 determines whether or not the difference between the acquisition date and time of the personal history information acquired in step S2 and the delivery date and time is within a predetermined period specified by the execution priority flag of the timing control rule. To do. Here, the delivery date / time validity determination unit 43 determines that the matching is successful if it is within the predetermined period specified by the execution priority flag of the timing control rule (Yes in the subsequent step S9), and proceeds to step S10. If it is not within the predetermined period specified by the execution priority flag of the timing control rule (No in the subsequent step S9), the processing shown in FIG. 8 is terminated. If the timing control rule does not require personal history information in the first place (when personal history information is not described), it is assumed that matching has been successful, and the process proceeds to step S10.

  In step S10, the timing control rule matching unit 42b determines whether or not the timing control rule read in step S5 exists in the current position information (for example, “Yokohama station”) acquired in step S2. Thus, the timing control rule is matched with the current position information. Here, when it is determined that the information defined by the timing control rule is present in the current position information acquired in step S2 and matching is successful (Yes in the subsequent step S11), the process proceeds to step S12. If the current position information acquired in step S2 does not exist (No in the subsequent step S11), the process shown in FIG. 8 ends. If the timing control rule does not use the current position information as a condition in the first place (when the current position information is not described), it is assumed that the matching has been successful, and the process proceeds to step S12.

  In step S12, the delivery date validity determination unit 43 matches the difference between the acquisition date and time of the current position information (current location acquisition date and time) acquired in step S2 and the delivery date and time, and the execution priority flag of the timing control rule. Do. That is, the delivery date / time validity determination unit 43 determines whether or not the difference between the acquisition date / time of the current position information acquired in step S2 and the delivery date / time is within a predetermined period specified by the execution priority flag of the timing control rule. To do. Here, the delivery date / time validity determination unit 43 determines that the matching is successful if it is within a predetermined period specified by the execution priority flag of the timing control rule (Yes in the subsequent step S13), and proceeds to step S14. If it is not within the predetermined period specified by the execution priority flag of the timing control rule (No in the subsequent step S13), the processing shown in FIG. 8 is terminated. If the timing control rule does not use the current position information as a condition in the first place (when the current position information is not described), it is assumed that the matching has been successful, and the process proceeds to step S14.

  In step S14, the timing control rule matching unit 42b determines whether or not the timing control rule read in step S5 exists in the schedule information (date and time, location) acquired in step S2. Match the control rules with the schedule information. If it is determined that the information defined in the timing control rule is present in the schedule information acquired in step S2 and matching is successful (Yes in the subsequent step S15), the process proceeds to step S16. If the schedule information acquired in step S2 does not exist (No in the subsequent step S15), the process shown in FIG. 8 is terminated. If the timing control rule does not use the schedule information as a condition in the first place (when the schedule information is not described), it is considered that the matching is successful, and the process proceeds to step S16.

  In step S16, the delivery date validity determination unit 43 matches the difference between the scheduled date and time of the schedule information acquired in step S2 and the delivery date and time with the execution priority flag of the timing control rule. That is, the delivery date validity determination unit 43 determines whether or not the difference between the scheduled date and time of the schedule information acquired in step S2 and the delivery date and time is within a predetermined period specified by the execution priority flag of the timing control rule. . Here, the delivery date / time validity determination unit 43 determines that the matching is successful if it is within a predetermined period specified by the execution priority flag of the timing control rule (Yes in the subsequent step S17), and proceeds to step S18. If it is not within the predetermined period specified by the execution priority flag of the timing control rule (No in the subsequent step S17), the processing shown in FIG. 8 is terminated. If the timing control rule does not require the schedule information in the first place (when the schedule information is not described), it is considered that the matching has been successful, and the process proceeds to step S18.

  In step S18, the timing control rule matching unit 42b determines whether or not the distribution date and time acquired in step S1 is within the distribution period described in the timing control rule read in step S5. Matching is performed based on the delivery period information of the timing control rule. Here, when it is determined that the distribution date and time acquired in step S1 is within the distribution period defined in the timing control rule and the matching is successful (Yes in the subsequent step S19), the process proceeds to step S20. If the distribution date and time acquired in step S1 is not within the distribution period defined by the timing control rule (No in the subsequent step S19), the processing shown in FIG. If the timing control rule does not use the distribution period information as a condition in the first place (when the distribution period information is not described), it is assumed that the matching is successful and the process proceeds to step S20.

As described above, in step S3 to step S19, the recommendation rule matching is performed on the personal history information, the preference information, the personal profile information, the schedule information, and the current position information acquired in step S2, and the matching succeeds. Get content (content candidates).
In step S <b> 20, the filtering unit 44 filters the content acquired by the preceding process as described above.
FIG. 9 is a flowchart showing content filtering processing.
As shown in FIG. 9, when the process is started, first, in step S41, the filtering unit 44 acquires the content location condition. The content location condition is a condition of a location where content is distributed (position of mobile communication terminal 20 when content is distributed).

FIG. 10 is a flowchart showing a process for acquiring the content location condition.
As shown in FIG. 10, when the process is started, first, in step S61, the filtering unit 44 determines whether or not “location” is described as a condition in the timing control rule. Here, if “location” is described as a condition in the timing control rule, the process proceeds to step S62; otherwise, the process proceeds to step S63.
In step S62, the filtering unit 44 sets only the “current location” as the content location condition. In other words, in the subsequent filtering process, a valid content is selected at the “current location”. Then, the process shown in FIG. 10 ends.

In step S63, the filtering unit 44 determines whether or not “schedule (schedule information)” is described as a condition in the timing control rule. If “schedule (schedule information)” is described as a condition in the timing control rule, the process proceeds to step S64. Otherwise, the process proceeds to step S67.
In step S <b> 64, the filtering unit 44 determines whether or not the timing control rule matches “scheduled day”. That is, it is determined whether or not it is “scheduled day” based on the relationship between the scheduled date and time of the scheduled information and the delivery date and time and the execution priority flag of the timing control rule. Here, the filtering unit 44 proceeds to step S65 if the timing control rule matches the “scheduled day”, that is, if the content distribution day, otherwise proceeds to step S66. For example, the case where the process proceeds to step S66 is a case where the timing control rule matches “pre-scheduled day”, that is, the difference between the scheduled date and time and the distribution date and time of the schedule information is defined by the execution priority flag of the timing control rule. More specifically, the case is one day before, and more specifically, the case is the day before content delivery.

In step S65, the filtering unit 44 sets the content location condition as “planned location” and “current location”. That is, in the subsequent filtering process, valid contents are selected at “planned place” and “current place”. Then, the process shown in FIG. 10 ends.
In step S66, the filtering unit 44 sets the content location condition to “planned location”, “home”, “company”, and “current location”. That is, in the subsequent filtering process, valid contents are selected in “planned place”, “home”, “company”, and “current location”. Then, the process shown in FIG. 10 ends.

In step S67, the filtering unit 44 sets the content location conditions to “home”, “company”, and “current location”. That is, effective content is selected in “home”, “company”, and “current location” in the subsequent filtering process. Then, the process shown in FIG. 10 ends.
As described above, in step S41, the content location conditions (such as “planned location”, “home”, “company”, or “current location”) are acquired.

  Specifically, when neither “location” nor “plan” is described as a condition in the timing control rule, the content location condition is “home”, “company”, and “current location” (step S61 → step S63 → step S67) When “location” is described as a condition in the timing control rule, the content location condition is “present location” regardless of “plan” (step S61 → step S62), and “plan” is set in the timing control rule. Is described as a condition, and the delivery date and time is “scheduled day”, the content location condition is “planned location” and “current location” (step S61 → step S63 → step S64 → step S65), and the timing control rule If "schedule" is described as a condition and the delivery date / time is other than that "scheduled day" If it of "planned the day before" For example, "will place" the content location conditions, "home", and the "company" and "You are here" (the step S61 → step S63 → step S64 → step S66).

Subsequently, in step S42, the filtering unit 44 acquires location information that satisfies the content location condition acquired in step S41. Specifically, users such as “Yokohama Station”, “Shinjuku Station”, etc., specific locations and addresses corresponding to the content location conditions “planned location”, “home”, “company” or “current location”, etc. A specific location or address determined for each location is acquired as location information.
Subsequently, in step S43, the filtering unit 45 filters the content corresponding to the recommendation rule that has been successfully matched in the preceding process, with the location information acquired in step S42. That is, the content (content useful at the location) that matches the location information (specific location such as “Yokohama Station”) is selected from the content (content list).

At this time, a range (area) can be further set as a condition. In this case, the content is further selected according to the range in which the content effectively acts on the user.
FIG. 11 shows an example of a range as a condition.
As shown in FIG. 11, a location condition range management table 54 that associates content (may be a content category) and a location condition range that defines a range in which the content is useful to the user is provided. In this example, when the content is related to “restaurant”, the place condition range that is beneficial to the user is set to 5 km. In general, in the case of a “restaurant”, content related to a restaurant within 5 km from the current position of the user is considered to be useful for the user, and thus the location condition range is determined in this way. is doing. For example, convenience store information that is far from the user's current location generally does not make much sense for the user, so if the content is a “convenience store”, the location condition range that is beneficial to the user Is set to 1 km or 500 m.

By filtering according to the place condition and the place condition range as described above, content in a predetermined area (for example, content of a facility existing in the predetermined area) is selected from a position satisfying the place condition.
Subsequently, in step S21 in FIG. 9, a list of contents obtained by filtering in step S20 is output. That is, a list of contents is transmitted by the information transmission unit 46 at the distribution date and time acquired in step S1.

(Operation and action)
Operation and action are as follows.
In the information distribution system 10, the information distribution server 40 acquires the terminal ID and the distribution date and time and acquires various user information such as preference information corresponding to the terminal ID from the user information DB 51 (steps S1 and S2). Then, the information distribution server 40 matches various user information with the preference determination rule and the timing control rule, and acquires the content (content candidate) that has been successfully matched (step S3 to step S19). Then, the information distribution server 40 filters the acquired content according to the location condition (Step S20). That is, the information distribution server 40 first acquires content location conditions, and acquires location information (specific location information) that satisfies the acquired content location conditions (steps S41 and S42). Then, the information distribution server 40 filters the content successfully matched by the preference determination rule and the timing control rule by “location condition” and “location condition range”. The information distribution server 40 transmits the content (list of content) obtained by filtering in this way to the mobile communication terminal 20. The mobile communication terminal 20 displays the content transmitted from the information distribution server 40 on the display unit 30.

Here, a specific example of content distribution realized by the above processing will be described with reference to FIG.
(1) First example The rule ID: M0001 is a preference discrimination rule “person who lives alone and likes bread” and a timing control rule “when getting off the nearest station on the way home from the company” It is assumed that it is mapped as “a bakery doing until late”. That is, information described in the preference determination rule “person who lives alone and likes bread” (personal profile information = “living alone”, preference information = “bread lover”) is stored in the user information DB 51. Information described in the timing control rule "When you get off the nearest station on your way home" (personal profile information = "nearest station name (Yokohama Station)", current location information = "Yokohama Station", execution priority If the flag = “0”) is stored, the content category “baker who is doing until late” is acquired on the assumption that matching is successful in the recommendation rule (preference discrimination rule and timing control rule).

  In such a case, when the matching is successful with the recommendation rule (step S1 to step S19), as the content filtering process (step S20), the timing control rule includes “location” such as “the nearest station at home”. Since it is described as a condition, “current location” is acquired as a content location condition (step S41 (step S61 → step S62)), and “Yokohama” is obtained as location information corresponding to the “present location” of the content location condition. Get “station”, and filter the content category “bakers who are doing it late” in the specified area (range of place conditions) from the acquired “Yokohama Station”, which has been successfully matched with the recommendation rule first. To obtain content (steps S42 and S43). .

FIG. 13 shows the above processing as processing between the main parts of the mobile communication terminal 20 and the information distribution server 40.
As shown in FIG. 13, a preference determination rule is added to the user information DB 51 including a personal history / preference DB (table) 51a, a personal profile DB (table) 51b, a personal schedule DB (table) 51c, and a personal current location DB (table) 51d. Information (personal profile information = "living alone", preference information = "I like bread") described in "person who lives alone and likes bread" is stored, and the timing control rule "On the way home from the company" Information stored in “When getting off the nearest station at home” (personal profile information = “name of nearest station (Yokohama Station)”, current position information = “Yokohama Station”, execution priority flag = “0”) is stored The recommendation rule matching unit 42 recommends the recommendation rule (preference discrimination rule and tag stored in the rule table (DB) 52). If the matching succeeds in the “Ming control rule”, the content category “bakers doing late” is acquired, and the content acquisition unit 44 acquires a list of content categories “bakers doing late” ( Steps S1 to S19).

  Then, the filtering unit 45 performs the content filtering process (step S20), and the timing control rule describes “location” such as “closest station at home” as a condition. (Step S41 (Step S61 → Step S62)), and “Yokohama Station” is acquired as location information corresponding to the “current location” of the content location condition. Then, the filtering unit 45 refers to the place condition range management table (DB) 54, and in the predetermined area (place condition range) from “Yokohama Station”, the content category acquired by successful matching with the recommendation rule first. A list of contents “bakers who are doing late at Yokohama Station” is obtained by filtering “bakers who are doing until late” (steps S42 and S43). For example, a list of contents related to a bakery within 1 km from “Yokohama Station” is obtained.

(2) Second Example The rule ID: M0002 is a preference determination rule “person who lives alone and likes bread”, a timing control rule “when searching for information about bread”, and a content category “Reputation is It is assumed that “Good bakery” is mapped. That is, information described in the preference determination rule “person who lives alone and likes bread” is stored in the user information DB 51 (personal profile information = “living alone”, preference information = “I like bread”). If the information described in the timing control rule “when searching for information about bread” (personal history information = “search for information about bread”, execution priority flag = “0”) is stored, Assume that the content category “reputable bakery” is acquired assuming that matching is successful in the recommendation rule (preference discrimination rule and timing control rule).

  In such a case, when matching is successful with the recommendation rule (steps S1 to S19), as the content filtering process (step S20), “location” is not described as a condition in the timing control rule. Since “schedule” is not described as a condition in the control rule, “home, company, current location” is acquired as the content location condition (step S41 (step S61 → step S63 → step S67)), and the content Acquired “Yokohama City Minami-Yukicho” (home), “Shinjuku” (company) and “Yokohama Station” (current location) as location information corresponding to “Home, Company, Current Location” in the location conditions. In the designated area (range of place conditions) for “Nansaicho”, “Shinjuku” and “Yokohama Station” By filtering the content category acquired by successful "reputation is good bakery" in matching Le, obtaining the content (the step S42, step S43).

(3) Third example Rule ID: M0003 is mapped with a preference determination rule “person who plans to go to Italy this year”, a timing control rule “one day before the scheduled date”, and a content category “drug store” To do. That is, the information (schedule information = “go to Italy this year”) described in the preference determination rule “person who plans to go to Italy this year” is stored in the user information DB 51, and the timing control rule “the day before the scheduled date” ”(Schedule information =“ go to Italy this year ”, execution priority flag =“ − 1 ”) is stored, the matching is successful with the recommendation rule (preference discrimination rule and timing control rule). Assume that the content category “drug store” is acquired.

  In such a case, when matching is successful with the recommendation rule (steps S1 to S19), as the content filtering process (step S20), “location” is not described as a condition in the timing control rule. Since “schedule” is described as a condition in the control rule, and the “schedule” is “the day before the scheduled date”, “scheduled location, home, company, current location” is acquired as the content location condition (the previous step S41 (step S61 → step S63 → step S64 → step S66)), “Italy” (scheduled location), “Yokohama Minamiyuki” as location information corresponding to “scheduled location, home, company, current location” of the content location condition "Town" (home), "Shinjuku" (company) and "Yokohama Station" (current location) The content category “Drag Store” that was successfully acquired by the recommendation rule first in the specified area (location condition range) for each “Italy”, “Minamisaicho in Yokohama”, “Shinjuku” and “Yokohama Station” obtained. The content is obtained by filtering (steps S42 and S43).

(4) Fourth example The rule ID: M0004 is mapped with the preference determination rule “person who plans to go to Italy this year”, the timing control rule “scheduled date”, and the content category “drug store”. To do. That is, the information (schedule information = “go to Italy this year”) described in the preference determination rule “person who plans to go to Italy this year” is stored in the user information DB 51, and the timing control rule “scheduled date on the scheduled date” ”(Schedule information =“ go to Italy this year ”, execution priority flag =“ 1 ”) is stored, the matching is successful with the recommendation rule (preference discrimination rule and timing control rule). Assume that the content category “drug store” is acquired.

  In such a case, when matching is successful with the recommendation rule (steps S1 to S19), as the content filtering process (step S20), “location” is not described as a condition in the timing control rule. Since “schedule” is described as a condition in the control rule, and the “schedule” is “scheduled date,” “scheduled location, current location” is acquired as the content location condition (step S41 (the step S41) S61-> step S63-> step S64-> step S65)), "Italy" (scheduled location) and "Yokohama station" (current location) are acquired as location information corresponding to "scheduled location, current location" of the content location condition, For each acquired "Italy" and "Yokohama Station" in a predetermined area (location condition range) To filter the content category "Dorakkusutoa" acquired successfully matching recommendation rules, to obtain a content (step S42, step S43).

(5) Fifth example Rule ID: M0005 is mapped with a preference determination rule “person who plans to go to Italy this year”, a timing control rule “if you get to Yokohama”, and a content category “drug store” To do. That is, the information (schedule information = “go to Italy this year”) described in the preference determination rule “person who plans to go to Italy this year” is stored in the user information DB 51, and the timing control rule “if you come to Yokohama” ”(Current position information =“ Yokohama ”, execution priority flag =“ 0 ”) is stored, the content is assumed to have been successfully matched with the recommendation rule (preference discrimination rule and timing control rule). The category “Drag Store” shall be acquired.

  In such a case, when matching is successful with the recommendation rule (steps S1 to S19), as the content filtering process (step S20), “location” is described as a condition in the timing control rule. Then, “current location” is acquired as the content location condition (step S41 (step S61 → step S62)), and “Yokohama Station” is acquired as location information corresponding to the “present location” of the content location condition. In the predetermined area (place condition range) of “Yokohama Station”, the content category “Drag Store” acquired by matching with the recommendation rule first is filtered to obtain the content (Steps S42 and S43).

(6) Others As an application example, content can be distributed based on the schedule of the TODO list.
For example, if there is “buy stamps” in the TODO list and the recommendation rule matching is successful (matching is successful with the timing control rule in which “the day before the scheduled date” is described), the content category “postage is sold” Get a store. In the content filtering process (step S20), “location” is not described as a condition in the timing control rule, but “schedule” is described as a condition in the timing control rule. Since “the day before”, “home, company, current location” corresponding to the TODO list is acquired as the content location condition (step S41 (step S61 → step S63 → step S64 → step S66)). Then, acquire and obtain “Yokohama-shi Minamisaicho” (home), “Shinjuku” (company), and “Yokohama Station” (current location) as location information corresponding to “Home, company, current location” of the content location condition. In the designated area (range of place conditions) for each “Nankocho, Yokohama City”, “Shinjuku” and “Yokohama Station”, the content category “Stores selling stamps” that was successfully acquired by the recommendation rule previously was acquired. It is also possible to obtain content by filtering (steps S42 and S43).

(effect)
The effect is as follows.
As described above, content that has been successfully matched with the recommendation rule matching for the user information is obtained according to the content location condition, that is, the user's action schedule (“planned location”, “home”, “company” or “ Current location "etc.), and the content obtained by filtering is distributed to the user. That is, the user's action place at the time of distribution is predicted, and the content related to the predicted user's action place is distributed to the user. This makes it possible to provide content that matches the user's situation at the time of distribution.
As a result, by selecting content according to the user's action place (including the place where the user plans to act) at the time of distribution, among the contents related to facilities and the like obtained according to the user's schedule and preferences, the user It is possible to distribute only content related to places where it is easy to drop in during a lunch break or on the way home from home.

  Here, the content location condition is set based on the description of the timing control rule (see FIG. 10). Specifically, as described above, when neither “location” nor “plan” is described as a condition in the timing control rule, the content location conditions are “home”, “company”, and “current location” (step S61). → Step S63 → Step S67) When “location” is described as a condition in the timing control rule, the content location condition is “current location” (step S61 → step S62), and “planned” is specified in the timing control rule. When the distribution date is “scheduled day”, the content location condition is “planned location” and “current location” (step S61 → step S63 → step S64 → step S65), and the timing control rule is “ If “schedule” is described as a condition and the delivery date / time is other than that “scheduled day”, The place condition "will place", and "home", "company" and "You are here" (the step S61 → step S63 → step S64 → step S66).

  For example, when a user of a company employee plans to go on a trip (when the schedule is registered in the schedule), the user is likely to commute to the company on the day before the schedule, and further, he / she goes to work from home. Since there is a high possibility of returning home, out of the store's contents related to travel necessities obtained from the schedule, in addition to the travel destination, contents belonging to the area surrounding the user's location at the time of distribution are also included. By selecting and providing to the user, the user can easily purchase travel essentials based on the content related to the store. In addition, since it is highly likely that the user is heading to the destination on the scheduled day, by providing the user with content belonging to the area around the destination and the user's location at the time of distribution, the user Based on the content related to the store, it will be possible to easily purchase travel essentials.

As described above, by setting the content location condition based on the description of the timing control rule, the content can be matched with the user's action location at the time of distribution.
In addition, as described above, since the user's behavior is predicted based on the user's schedule information managed by the information distribution server 40, the user's behavior can be predicted easily and accurately, and as a result, more beneficial High content can be provided to users.
In addition, as described above, content is obtained by recommendation rule matching using user information such as preferences, that is, content (content candidates) is determined based on user-specific information, which is more useful. High content can be provided to users.

(Other embodiments, etc.)
In addition, the said embodiment can also be implement | achieved by the following structures.
That is, in the above-described embodiment, the case where the user information (user-specific information) stored in the user information DB is personal history information, preference information, current position information, personal profile information, and schedule information has been described. However, the user information stored in the user information DB is not limited to these information.
In the above-described embodiment, the system has been mainly described. However, as is apparent to those skilled in the art, the present invention can also be implemented as a program and a method that can be used by a computer. In addition, the present invention can be implemented in hardware, software, or software and hardware embodiments. The program can be recorded on any computer-readable medium such as a hard disk, CD-ROM, DVD-ROM, optical storage device, or magnetic storage device. Furthermore, the program can be recorded in another device (information distribution server or mobile communication terminal) via a network.

  In the embodiment, the process of step S1 realizes a distribution date detection unit that detects the distribution date of distribution information, and the process of step S41 is performed by the user of the distribution date detected by the distribution date detection unit. The action place prediction means for predicting the action place is realized, and the process of step S43 relates to the action place of the user predicted by the action place prediction means from the delivery information in which the delivery date and time is detected by the delivery date and time detection means. A selection means for selecting an object is realized, and the processing in step S21 realizes a transmission means for transmitting the distribution information selected by the selection means to the portable terminal at the distribution date and time.

  Moreover, the personal schedule table 51c implement | achieves the user action information storage means which memorize | stores the information of a user's action schedule. Further, the user information DB 51 realizes user specific information storage means for storing user specific information, and the recommendation rule matching unit 42 and the rule DB 52 are user specific information stored in the user specific information storage means. Based on the above, distribution information determination means for determining distribution information is realized.

  Moreover, in the said embodiment, it is the information provision method which provides distribution information to a user using the information provision system provided with a portable terminal and the information provision apparatus which provides distribution information to the user who uses the said portable terminal. The distribution date and time detection step in which either the information providing device or the portable terminal detects the distribution date and time of the distribution information, and the distribution date and time detected in the distribution date and time detection step by either the information providing device or the portable terminal A behavior location prediction step for predicting a user's behavior location, and any one of the information providing device and the mobile terminal predicts in the behavior location prediction step from the delivery information in which the delivery date and time is detected in the delivery date and time detection step. A selection step for selecting a user's action place, and the distribution information selected by the information providing apparatus in the selection step is the distribution date and time. A transmission step of transmitting to said portable terminal, said portable terminal, is realized, and an output step of externally outputting distribution information transmitted by said transmitting step.

  Moreover, you may make it the mobile communication terminal 20 (portable terminal) provide the structure with which the information delivery server 40 (information provision apparatus) is provided. That is, the mobile communication terminal 20 includes the history acquisition unit 21, the preference information acquisition unit 22, the current position acquisition unit 23, the personal profile information acquisition unit 24, the schedule information acquisition unit 25, the terminal ID storage unit 26, In addition to the information transmission unit 27, the information reception unit 28, the display control unit 29, and the display unit 30, a recommendation rule matching unit 42, a delivery date validity determination unit 43, a content acquisition unit 44, a filtering unit 45, a rule DB 52, and a location condition A range management DB 54 may be provided. In this case, these configurations are adapted to the mobile communication terminal 20 and constructed. For example, the recommendation rule matching unit 42 recommends rule matching based on various user information acquired by the history acquisition unit 21, the preference information acquisition unit 22, the current position acquisition unit 23, the personal profile information acquisition unit 24, and the schedule information acquisition unit 25. To implement. In addition, the content acquisition unit 44 and the filtering unit 45 create a content distribution request and selection information (location information, location condition range information, etc.) of the requested content as information to be transmitted to the information distribution server 40.

  In addition, the processing in the mobile communication terminal 20 can be realized by a program in this way. In this case, the program is a program that provides information to a user using an information providing system that includes a mobile terminal and an information providing device that provides information to a user who uses the mobile terminal, From a delivery date and time detection step for detecting a delivery date and time, an action location prediction step for predicting a user's action location at the delivery date and time detected in the delivery date and time detection step, and delivery information in which the delivery date and time is detected in the delivery date and time detection step A selection step for selecting a user's action place predicted by the action place prediction means, and a delivery request for requesting the information providing apparatus so that the delivery information selected in the selection step is delivered at the delivery date and time. And the distribution information transmitted from the information providing apparatus in response to the request made in the distribution request step. The program characterized by executing an output step of outputting, to the mobile terminal.

It is a figure which shows the structure of the information delivery system of embodiment of this invention. It is a block diagram which shows the function structure of a mobile communication terminal and an information delivery server. It is a figure which shows the hardware constitutions of an information delivery server. It is the figure used for description of the example of a timing control rule. It is the figure used for description of the example of a preference discrimination | determination rule. It is the figure used for description of the example of a preference-timing mapping table. It is the figure used for description of the example of a delivery information management table. It is a flowchart which shows the process sequence of an information delivery server. It is a flowchart which shows the process sequence of the content filter process in an information delivery server. It is a flowchart which shows the process sequence of the process which acquires content location conditions in an information delivery server. It is the figure used for description of the example of a place condition range management table. It is the figure used for description of a specific example. It is a figure which shows the structure of the principal part of the mobile communication terminal used for description of the specific example, and the information delivery server.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 10 Information distribution system, 20 Mobile communication terminal, 21 History acquisition part, 22 Preference information acquisition part, 23 Current position acquisition part, 24 Personal profile information acquisition part, 25 Schedule information acquisition part, 26 Terminal ID storage part, 27 Information transmission part 28 Information reception unit 29 Display control unit 30 Display unit 40 Information distribution server 41 Information reception unit 42 Recommendation rule matching unit 42a Preference determination rule matching unit 42b Timing control rule matching unit 43 Delivery date validity Determination unit, 44 content acquisition unit, 45 filtering unit, 46 information transmission unit, 51 user information DB, 51a personal history / preference table, 51b personal profile table, 51c personal schedule table, 51d personal current location table, 52 rule DB, 52a preference Discrimination rule tube Table, 52b timing control rule management table, 52c preference - Timing mapping table 53 contents DB, 53a information distribution management table, 54 place condition range management DB

Claims (6)

An information providing apparatus that provides distribution information to a user via a portable terminal,
A delivery date and time detecting means for detecting a delivery date and time of the delivery information;
Action location prediction means for predicting the action location of the user at the delivery date and time detected by the delivery date and time detection means;
A selection unit that selects, from the distribution information in which the distribution date and time is detected by the distribution date and time detection unit, the one related to the user's action place predicted by the action place prediction unit;
Transmission means for transmitting the distribution information selected by the selection means to the portable terminal at the distribution date and time;
An information providing apparatus comprising: User action information storage means for storing information on user action schedules is provided,
The information providing apparatus according to claim 1, wherein the behavior location prediction unit predicts a user's behavior at the delivery date and time based on information on the user's behavior schedule. User-specific information storage means for storing user-specific information; and distribution information determination means for determining distribution information based on the user-specific information stored in the user-specific information storage means,
The selection means is distribution information determined by the distribution information determination means, which relates to the user's action location predicted by the action location prediction means from the distribution information whose distribution date and time is detected by the distribution date and time detection means. The information providing apparatus according to claim 1, wherein the information providing apparatus is selected. A portable terminal that outputs distribution information provided from an information providing device to a user,
A delivery date and time detecting means for detecting a delivery date and time of the delivery information;
Action location prediction means for predicting the action location of the user at the delivery date and time detected by the delivery date and time detection means;
A selection unit that selects, from the distribution information in which the distribution date and time is detected by the distribution date and time detection unit, the one related to the user's action place predicted by the action place prediction unit;
Distribution request means for requesting the information providing apparatus so that the distribution information selected by the selection means is distributed at the distribution date and time;
In response to the request made by the distribution request means, output means for externally outputting the distribution information transmitted from the information providing device;
A portable terminal comprising: An information providing method for providing distribution information to a user using an information providing system comprising a portable terminal and an information providing device that provides distribution information to a user who uses the portable terminal,
A delivery date and time detection step in which any one of the information providing device and the mobile terminal detects a delivery date and time of the delivery information;
Any one of the information providing device and the mobile terminal predicts a user's action place at the delivery date and time detected in the delivery date and time detection step;
A selection step in which any one of the information providing device and the mobile terminal selects the one related to the user's action place predicted in the action place prediction step from the delivery information in which the delivery date and time is detected in the delivery date and time detection step;
A transmission step in which the information providing device transmits the distribution information selected in the selection step to the portable terminal at the distribution date;
An output step in which the portable terminal externally outputs the distribution information transmitted in the transmission step;
An information providing method characterized by comprising: A program for providing information to a user using an information providing system comprising a portable terminal and an information providing apparatus for providing information to a user who uses the portable terminal,
A delivery date and time detection step of detecting a delivery date and time of the delivery information;
A behavior location prediction step for predicting a user's behavior location at the delivery date and time detected in the delivery date and time detection step;
A selection step for selecting, from the distribution information in which the distribution date and time is detected in the distribution date and time detection step, the one related to the user's behavior location predicted by the behavior location prediction means;
A distribution request step for requesting the information providing apparatus so that the distribution information selected in the selection step is distributed at the distribution date and time;
In response to the request in the distribution request step, an output step for outputting the distribution information transmitted from the information providing apparatus to the outside,
A program characterized by causing a portable terminal to execute.

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