JP2012098834A - Information providing device, information providing program and information providing method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide valid information for a user.SOLUTION: An information providing device 20 has a storage unit 25 and a selection unit 26b. For each of a plurality of pieces of provision information concerning an event to be provided for a user, the storage unit 25 stores condition information that indicates a condition under which each event is established, the information of at least the latest establishment period and of the next establishment period. If the latest establishment period stored in the storage unit 25 overlap among plural pieces of provision information, the selection unit 26b selects one piece of provision information to be provided for the user on the basis of an interval between the latest establishment period and the next establishment period for each piece of provision information.

Description

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

  Conventionally, there is an information providing apparatus that provides information to a user. For example, such an information providing apparatus first acquires the time and the position of the user. Then, the information providing apparatus selects information that is appropriate to be provided to the user existing at the acquired position, information that is appropriate to be provided at the acquired time, or the like as a provision candidate. Then, the information providing apparatus provides predetermined information from the information of the provision candidates. Here, when there are a plurality of pieces of provision candidate information, the information provision apparatus provides information in accordance with the priority order determined based on the user's hobbies and preferences.

JP 2009-87156 A JP-A-11-265398 JP 2006-285308 A

  However, the above technique merely provides information according to the priority order determined based on the user's hobbies and preferences. Therefore, in the above technique, if the user misses the opportunity to experience now, the user cannot preferentially provide information on an event that takes time until the next opportunity to experience.

  The disclosed technique has been made in view of the above, and an object thereof is to provide an information providing apparatus, an information providing program, and an information providing method capable of providing information effective for a user.

  In one aspect, the information providing apparatus disclosed in the present application includes a storage unit and a selection unit. The storage unit stores, for each of a plurality of pieces of provision information related to an event provided to the user, condition information indicating a condition for establishing each event, and information on at least the latest established period and the next established period. In addition, the selection unit, when the most recent establishment period stored in the storage unit overlaps between information about a plurality of events, the period between the most recent establishment period for each provided information and the next establishment period On the basis of the information, one provision information to be provided to the user is selected.

  According to one aspect of the information providing system disclosed in the present application, it is possible to provide information effective for the user.

FIG. 1 is a diagram illustrating a system configuration of the information providing system according to the first embodiment. FIG. 2 is a diagram illustrating an example of the instruction history DB. FIG. 3 is a diagram illustrating an example of the position history DB. FIG. 4 is a diagram illustrating an example of provision information data registered in the provision information DB. FIG. 5 is a diagram illustrating an example of the latest condition and the next condition of the provided information data. FIG. 6 is a diagram illustrating an example of the latest condition and the next condition of the provided information data. FIG. 7 is a diagram illustrating an example of the latest condition and the next condition of the provided information data. FIG. 8 is a flowchart of the information providing process according to the first embodiment. FIG. 9 is a flowchart illustrating the procedure of the first selection process according to the first embodiment. FIG. 10 is a flowchart illustrating the procedure of the second selection process according to the first embodiment. FIG. 11 is a diagram illustrating a computer that executes an information providing program.

  Hereinafter, embodiments of the information providing apparatus disclosed in the present application will be described in detail with reference to the drawings. Note that this embodiment does not limit the disclosed technology. Each embodiment can be appropriately combined within a range in which processing contents are not contradictory.

[Configuration of information provision system]
An information providing system according to the first embodiment will be described. FIG. 1 is a diagram illustrating a system configuration of the information providing system according to the first embodiment. As illustrated in FIG. 1, the information providing system 50 includes a mobile terminal 10 and an information providing apparatus 20. In the example of FIG. 1, one mobile terminal and one information providing device are illustrated, but the disclosed information providing system is not limited to the illustrated configuration. That is, the information providing system 50 can have an arbitrary number of portable terminals and information providing apparatuses. The information providing system 50 according to the present embodiment preferentially provides information on an event that takes time until the next opportunity to experience if the user who carries the mobile terminal 10 misses the opportunity to experience now.

  The external server 27 is connected to the information providing apparatus 20 via the network 60. The external server 27 provides various types of information in response to requests from the information providing apparatus 20. For example, the external server 27 holds a plurality of later provided information data. The external server 27 transmits provision information data corresponding to the request from the information provision apparatus 20 to the information provision apparatus 20. In addition, the external server 27 transmits the specified provision information data condition in response to a request from the information provision apparatus. In addition, the external server 27 transmits weather information such as the probability of sunnyness in the designated time zone and region, and whether the current weather in the designated region is sunny, to the information providing apparatus 20. Further, the external server 27 transmits the service content corresponding to the request from the provided information to the information providing apparatus 20.

[Configuration of mobile terminal]
As illustrated in FIG. 1, the mobile terminal 10 includes a position detection unit 11, an instruction detection unit 12, a wireless communication unit 13, and an output unit 14. Examples of the mobile terminal 10 include a mobile phone, a PHS (Personal Handy-phone System), and a PDA (Personal Digital Assistant).

  Among these, the position detection unit 11 detects the position of the mobile terminal 10. As an example of the position detection unit 11, for example, a position detection device that detects an absolute position (x, y) such as a GPS (Global Positioning System) can be applied. For example, the position detector 11 detects the position at a predetermined cycle. And the position detection part 11 transmits the date and time which detected the position and the position, and the time to the information provision apparatus 20 via the radio | wireless communication part 13 mentioned later at a predetermined period. For example, the position detection unit 11 detects a position every hour as a predetermined cycle, and transmits the detected position, date and time, and time. As a result, the date and time when the user was present at that position are registered together with the position of the mobile terminal 10 in the position history database (DB) 25b described later. Moreover, since the user carries the portable terminal 10, the position detection unit 11 can detect the position of the user carrying the portable terminal 10 by detecting the position of the portable terminal 10. Further, the position detection unit 11 detects the position of the mobile terminal 10 when an instruction detection unit 12 described later detects an instruction, and transmits the detected position to the information providing device 20 via the wireless communication unit 13. . In addition, after detecting the position (x, y) in the absolute coordinate system, the position detection unit 11 searches for the address indicated by the position from map data (not shown), and performs wireless communication at a predetermined cycle using the searched address as the position. The information can be transmitted to the information providing apparatus 20 via the unit 13.

  The instruction detection unit 12 detects an instruction for executing an information providing process described later. For example, when the mobile terminal 10 is a foldable mobile phone, the instruction detection unit 12 detects whether the foldable mobile terminal has been opened. In addition, the instruction detection unit 12 detects whether or not the user has input an instruction to execute the information providing process via a touch panel (not shown) of the mobile terminal 10. When the instruction detecting unit 12 detects “opened” or “inputting an instruction”, the instruction detecting unit 12 sends the instruction for executing the information providing process and the detected date and time via the wireless communication unit 13. To the information providing apparatus 20.

  Further, the instruction transmission method of the instruction detection unit 12 is not limited to this. For example, the instruction detection unit 12 performs a pattern matching process for specifying a person on an image of a person carrying the mobile terminal 10 acquired by a camera (not shown). When the person specified by the pattern matching process is a predetermined information providing target person, the instruction detecting unit 12 transmits the instruction, the date and time, and the time for executing the information providing process to the wireless communication. The information is transmitted to the information providing apparatus 20 via the unit 13.

  The wireless communication unit 13 performs wireless communication with the information providing apparatus 20. An example of the communication method of the wireless communication unit 13 is Bluetooth (registered trademark), but the communication method is not limited to this, and a wireless communication function mounted on a general mobile terminal, for example, infrared communication can be used. . The wireless communication unit 13 may communicate with the information providing apparatus 20 using a general telephone network or the like. In this embodiment, an example in which the mobile terminal 10 and the information providing apparatus 20 communicate by wireless communication will be described. However, the mobile terminal 10 and the information providing apparatus 20 may perform wired communication.

  For example, the wireless communication unit 13 transmits the position detected by the position detection unit 11 to the information providing apparatus 20. In addition, the wireless communication unit 13 transmits the instruction detected by the instruction detection unit 12 to the information providing apparatus 20. In addition, it receives content that is provided information transmitted from the information providing apparatus 20.

  The output unit 14 outputs the provision information transmitted from the information provision apparatus 20. For example, the output unit 14 is a display device and displays content that is provided information. As such a display device, a display, a monitor, or the like can be applied. The output unit 14 may be a device that outputs sound. In this case, the contents are output by voice.

[Configuration of Information Providing Device]
The information providing apparatus 20 illustrated in FIG. 1 preferentially provides the user with information about an event that takes time until the next opportunity to experience if the user who carries the mobile terminal 10 misses the opportunity to experience now. Is.

  As illustrated in FIG. 1, the information providing apparatus 20 includes an input unit 21, an output unit 22, a wireless communication unit 23, a communication unit 24, a storage unit 25, and a control unit 26.

  Among these, the input unit 21 is an input device that receives user operations and inputs various information to the information providing apparatus 20. Examples of the input unit 21 include a keyboard and a mouse.

  The output unit 22 outputs content that is provided information input from a providing unit 26d described later. For example, the output unit 22 is a display device and displays content. As such a display device, a display, a monitor, or the like can be applied. The output unit 22 may be a device that outputs sound. In this case, the contents are output by voice.

  The wireless communication unit 23 performs wireless communication with the mobile terminal 10. For example, the wireless communication unit 23 receives a position transmitted from the mobile terminal 10. In addition, the wireless communication unit 23 receives an instruction transmitted from the mobile terminal 10. In addition, when a content transmission instruction and content are input from the providing unit 26d, the wireless communication unit 23 transmits the content to the mobile terminal 10 that is the transmission target.

  The communication unit 24 communicates with an external device. For example, the communication unit 24 acquires later-described provision information data from the external server 27 by communicating with the external server 27 via the network 60. In addition, the communication unit 24 acquires a probability that a predetermined period is clear from the external server 27 by performing communication with the external server 27 via the network 60.

  The storage unit 25 stores various programs executed by the control unit 26. In addition, the storage unit 25 stores an instruction history DB 25a in which the provided information processing instruction history is registered, and a position history DB 25b in which a user position history is registered. Furthermore, the storage unit 25 stores a provision information database (DB) 25c that is a database of provision information provided to the user.

  The instruction history DB 25a will be described. The instruction history DB 25a is a database in which the history of the date and time when the instruction to execute the information providing process is issued is registered. For example, the time when the instruction is detected by the instruction detection unit 12 is registered in the instruction history DB 25a by the detection unit 26a described later.

  FIG. 2 is an example of the instruction history DB. As shown in FIG. 2, date and time information is registered in the instruction history DB. In the example of FIG. 2, one record in the instruction history DB 25 a indicates that there is an instruction to execute the information providing process at 12:50 on October 1, 2010. In the example of FIG. 2, one record in the instruction history DB 25 a indicates that there is an instruction to execute the information providing process at 14:11 on October 1, 2010.

  The position history DB 25b is a database in which the position of the user of the mobile terminal 10 is registered. For example, the position history DB 25b registers the position of the user detected by the detection unit 26a described later.

  FIG. 3 is an example of the position history DB. As shown in FIG. 3, the date / time, region, prefecture, city, town, and address information are registered in the position history DB 25b. In the example of FIG. 3, one record in the location history DB 25 b indicates that a user exists at address N town O, Kawasaki City, Kanagawa Prefecture, at 11:11 on October 2, 2010. In the example of FIG. 3, another record in the location history DB 25 b indicates that the user was present at Q town M address, Fujisawa City, Kanagawa Prefecture, at 21:11 on October 2, 2010.

  The provision information DB 25c is a database in which provision information regarding events provided to the user is registered. Here, the “event” is an event that can be experienced by the user. Examples of such events include “watching Orion”, “watching the lunar eclipse”, “watching Scorpio”, and “watching astronomy programs on television”. For example, provision information data is registered in the provision information DB 25c by a registration / deletion unit 26f described later. Further, the provision information data registered in the provision information DB is updated by an update unit 26e described later.

  An example of provided information data will be described. FIG. 4 is an example of provision information data registered in the provision information DB. An example of the provided information data includes data of each item such as an ID (identifier), various programs, the latest condition, the next condition, and content.

  Among these, ID is information for identifying each provision information data. For example, as the ID, numbers “1”, “2”, etc. in the order in which each provision information data is generated are used.

  Examples of the various programs include “update” which is a program for updating provided information data. Explaining about “update”, this program is a program for updating the contents registered in the provision information DB 25c. “Update” is called by the update unit 26e described later. With this “update”, the latest condition and the next condition of the provided information data are updated so that the period included in the latest condition is after the current time.

  As another example, an additional condition for determining whether or not the user can experience an event is a program for acquiring a determination result as to whether or not the event is established from the external server 27. There is a certain “check_extra_condition”. The “check_extra_condition” will be described. This program is called by the selection unit 26b described later, and the determination result of the additional condition for determining whether or not the user can experience the event is displayed on the external server. 27. A specific example will be described. If the user can experience events such as “Looking at Orion”, “Looking at the Lunar Eclipse”, “Looking at Scorpio”, the “weather” must be “clear” with no clouds. I must. In such a case, according to the “check_extra_condition”, whether the current “weather” is “sunny” or not is “sunny (true)” or “not sunny (false)” provides weather information and the like Acquired from the external server 27.

  Further, as another example, for acquiring the probability that the additional condition for determining whether or not the user can experience the event satisfies the remaining period of the latest condition from the external server 27 There is a program "current_extra_probability". “Current_extra_probability” will be described. This program is called by the selection unit 26b, which will be described later, and satisfies an additional condition for determining whether or not the user can experience an event in the period from the present to the remaining period of the most recent condition. The probability is acquired from the external server 27. A specific example will be described. For an event such as “Look at Orion” by “current_extra_probability”, the probability that the period from the present to the end time of the end date of the period included in the latest condition is “sunny”, for example, 0.6 (60 %) Is acquired from the external server 27.

  Another example is a program for acquiring from the external server 27 a probability that an additional condition for determining whether or not a user can experience an event satisfies the period of the next condition. There is a “next_extra_probability”. “Next_extra_probability” will be described. This program is called by the selection unit 26b, which will be described later, and acquires from the external server 27 a probability that satisfies an additional condition for determining whether or not the user can experience an event in the next condition period. . A specific example will be described. With “next_extra_probability”, the probability that the period included in the next condition is “sunny”, such as 0.3 (30%), is acquired from the external server 27 for an event such as “Look at Orion”.

  The most recent conditions include the most recent establishment period of the event, the time suitable for the establishment of the event on each day of the period, and the region that is the user's location range suitable for the most recent establishment of the event. For example, the most recent condition corresponds to the message “Look at the Orion”, the latest establishment period October 2010 to March 2011, the start time of each day from 20: 00 to 02:00, : Includes Kanto. The latest conditions are not essential for these periods, times, and regions, and can be arbitrarily added or deleted. For example, the latest condition may be only the period.

  The next condition includes the next establishment period of the event, a time suitable for the establishment of the event on each day of the period, and an area that is a user position range suitable for the next establishment of the event. For example, the next condition corresponds to the message “Let's see the Orion”, the next establishment period October 2011 to March 2012, the start time 20: 00 to 02:00 of each day, : Includes Kanto. In the next condition, these periods, times, and regions are not essential, and can be arbitrarily added or deleted. For example, the next condition may be only the period.

  The content is content related to an event provided to the user. Examples of such content include text data of character strings such as “Watch Orion”, “Watch the lunar eclipse”, “Watch Scorpio”, “Watch astronomy programs on TV”, voice data, and image data. It is.

  In the example of FIG. 4, the provided information data indicated by ID: 2 includes various programs such as “update”, “check_extra_condition”, “current_extra_probability”, and “next_extra_probability”. In the example of FIG. 4, the start date of the period of the most recent condition is August 1, 2010, the end date is August 31, 2010, the start time of each day is 20:00, and the end Indicates that the time is 02:00. In the example of FIG. 4, it is shown that the area under the latest condition is Kanto. In the example of FIG. 4, the start date of the next condition period is August 1, 2011, the end date is August 31, 2011, and the start time of each day is 20:00. Indicates that the time is 02:00. Further, the example of FIG. 4 indicates that the area of the next condition is Kanto.

  The storage unit 25 is, for example, a semiconductor memory device such as a flash memory, or a storage device such as a hard disk or an optical disk. The storage unit 25 is not limited to the above type of storage device, and may be a RAM (Random Access Memory) or a ROM (Read Only Memory).

  Returning to FIG. 1, the control unit 26 includes an internal memory for storing programs and control data that define various processing procedures, and executes various processes using these. As shown in FIG. 1, the control unit 26 includes a detection unit 26a, a selection unit 26b, a change unit 26c, a provision unit 26d, an update unit 26e, and a registration / deletion unit 26f.

  Among these, the detection part 26a detects various information, and registers the detected information in various DB. For example, the detection unit 26a detects the time of the instruction to execute the information providing process received by the wireless communication unit 23, and registers the detected time as a history in the instruction history DB 25a illustrated in FIG. The detection unit 26a detects the position of the user received by the wireless communication unit 23, and registers the detected position as a history in the position history DB 25b shown in FIG.

  The selection unit 26b selects provision information to be provided to the user. For example, when the detection unit 26a detects an instruction, the selection unit 26b performs the following process. In other words, the selection unit 26b provides the user's current position detected by the detection unit 26a within the region of the latest condition, and the current date and time is within the period from the start date to the end date of the latest condition. Select information data. Then, the selection unit 26b selects, from among the selected provision information data, provision information data whose current time is within the time period from the start time to the end time of the latest condition as a provision candidate.

  5 to 7 are examples of the latest condition and the next condition of the provided information data, respectively. FIG. 5 is an example of the latest condition and the next condition of the provided information data related to the event “Look at Scorpio”. In the example of FIG. 5, the start date of the period of the most recent condition is August 1, 2010, the end date is August 31, 2010, the start time of each day is 20:00, and the end time is Indicates 02:00. Further, the example of FIG. 5 indicates that the area of the most recent condition is “no designation”. In the example of FIG. 5, the start date of the period of the next condition is August 1, 2011, the end date is August 31, 2011, the start time of each day is 20:00, and the end Indicates that the time is 02:00. Further, the example of FIG. 5 indicates that the area of the next condition is “no designation”.

  FIG. 6 is an example of the latest condition and the next condition of the provided information data including the message “Let's watch the lunar eclipse”, which is the provided information related to the event “watch the lunar eclipse”, as content. In the example of FIG. 6, the start date of the period of the most recent condition is August 7, 2010, the end date is August 7, 2010, the start time of that day is 19:00, and the end time is 22 : 00. Further, the example of FIG. 6 indicates that the area under the most recent condition is “Kanto”. In the example of FIG. 6, the start date of the next condition period is December 1, 2011, the end date is December 1, 2011, the start time of that day is 18:00, and the end time Indicates 21:00. In the example of FIG. 6, the next condition area is “Kanto”.

  FIG. 7 is an example of the latest condition and the next condition of the provided information data including the message “Let's watch the astronomy program on television” as content, which is the provision information related to the phenomenon of “viewing the astronomy program on television”. In the example of FIG. 7, the start date of the period of the most recent condition is August 7, 2010, the end date is August 7, 2010, the start time of that day is 20:00, and the end time is 21 : 00. Further, the example of FIG. 7 indicates that the area of the most recent condition is “no designation”. In the example of FIG. 7, the start date of the period of the next condition is August 17, 2010, the end date is August 17, 2010, the start time of that day is 18:00, and the end time Is 19:00. Further, the example of FIG. 7 indicates that the area of the next condition is “no designation”.

  In the following, it is assumed that the current date and time is August 7, 2010, the current time is 20:30, and the current location of the user is address Q, M town, Fujisawa, Kanagawa, Kanto. The IDs of the provided information data including the latest condition and the next condition shown in the examples of FIGS. 5 to 7 are “10”, “11”, and “12”, respectively.

  In such a case, in the example of FIG. 5, the current date and time August 7, 2010 falls within the period from the start date August 1, 2010 to the end date August 31, 2010, which is the latest condition. The current time 20:30 is the time from the start time 20:00 to the end time 2:00 of the latest condition. In addition, the area of the latest condition is “not specified”. Therefore, the selection unit 26b selects the provision information data with the ID “10” as a provision candidate.

  Further, in the example of FIG. 6, the user's current location “M town Q address, Fujisawa, Kanagawa Prefecture, Kanto” is within the most recent area “Kanto”. In the example of FIG. 6, the current date and time, August 7, 2010 is within the period from the start date of August 7, 2010 to the end date of August 7, 2010 under the latest conditions. In the example of FIG. 6, the current time 20:30 is the time from the start time 19:00 to the end time 22:00 of the latest condition. Therefore, the selection unit 26b selects the provision information data with the ID “11” as a provision candidate.

  In the example of FIG. 7, the current date and time August 7, 2010 is within the period from the start date August 7, 2010 to the end date August 7, 2010 under the most recent conditions. The current time 20:30 is the time from the start time 20:00 to the end time 21:00 of the latest condition. In addition, the area of the latest condition is “not specified”. Therefore, the selection unit 26b selects the provision information data with the ID “12” as a provision candidate.

  Subsequently, the selection unit 26b executes “check_extra_condition” included in the provision information data selected as the provision candidate, and determines an additional condition for determining whether or not the user can currently experience the event. The result is acquired from the external server 27. At present, only provision information relating to an event for which the user can experience the event is set as a provision candidate.

  For example, in the example of FIGS. 5 to 7, the selection unit 26 b executes “check_extra_condition”, and determines whether the current “weather” is “clear” or not through the communication unit 24 and the Internet 60. Obtained from the external server 27. Then, when the obtained determination result is “not sunny”, the selection unit 26b determines that the user cannot experience the event at present, and removes the provision information data from the provision candidates. In addition, when the acquired determination result is “sunny”, the selection unit 26b leaves the provision information data as a provision candidate.

  Then, the selection unit 26b counts the number of pieces of provision information data as provision candidates, and determines whether the number is one, the number is two or more, or the number is zero.

  A case where the number of provision candidates is 1 will be described. When the number is one, the content included in the provision information data of the provision candidate is transmitted to the portable terminal 10 via the wireless communication unit 23 by the provision unit 26d described later.

  A case where the number of provision candidates is two or more is described. When the number is plural, the selection unit 26b selects a provision candidate related to an event that takes time until the next opportunity to experience if the user misses the opportunity to experience now, among the plurality of provision candidates. For example, the selection unit 26b selects one provision information to be provided to the user based on possibility indexes Hc ′ and Hn ′ and a period Hd described later.

  Here, the possibility index Hc ′ indicates that when the establishment period, which is the period in which the event of the latest condition is established, overlaps among a plurality of pieces of provision information data, It is an index indicating the possibility of experiencing the corresponding event. The possibility index Hc ′ indicates that the user is likely to be located in an area where an event is established in the time zone in which each event of the latest condition is established, and the user provides information in the time zone in which each event of the latest condition is established. The value is based on the possibility of requesting. In addition to this, the possibility index Hc ′ includes a possibility that another condition is established in which each event is established in the time zone in which each event under the latest condition is established, and a time zone in which each event under the latest condition is established. It is a value based on the remaining time of.

  The possibility index Hn ′ is an event corresponding to the next establishment period for each overlapping provision information when the establishment period, which is a period in which the event of the next condition is established, overlaps among the plurality of provision information data. It is an index showing the possibility of experiencing. The possibility index Hn ′ indicates that the user is likely to be located in an area where an event is established in the time zone in which each event of the next condition is established, and the user provides information in the time zone in which each event of the next condition is established. The value is based on the possibility of requesting. In addition to this, the possibility index Hn ′ includes the possibility that the other conditions will be established in the time zone in which each event of the next condition is established, and the time zone in which each event of the next condition is established. It is a value based on the remaining time of.

  The period Hd is a period from the end date of the most recent condition to the start date of the next condition. These possibility indexes Hn ′ and Hc ′ indicate that the smaller the value, the more time it takes for the user to experience the next event if the corresponding event misses the opportunity to experience now. Further, the larger the value of the period Hd is, the more the value of the period Hd is, the more time it takes for the user to experience the corresponding event if the corresponding event misses the opportunity to experience now.

  For example, the selection unit 26b calculates the remaining total time Hc of the latest condition from the current time. The total remaining time Hc is a time during which the user can experience the event from the current time to the end time of the end date of the most recent condition. In the example of FIG. 5, the selection unit 26b calculates 24 (days) × 6 (hours) +1 (day) × 5.5 (hours) as the remaining total time Hc. Here, the remaining total time Hc is the sum of the remaining total time from tomorrow and today's remaining time. In the example of FIG. 6, the selection unit 26b calculates 1 (day) × 1.5 (hours) as the remaining total time Hc. In the example of FIG. 7, the selection unit 26b calculates 1 (day) × 0.5 (hour) as the remaining total time Hc.

  Further, the selection unit 26b calculates, from the history of the position history DB 25b, the probability Ac that exists in the area of the latest condition from the present to the time during which the user can experience the event in the remaining period of the latest condition. To do. For example, the selection unit 26b uses, as the probability Ac, the probability of existing in the region of the most recent condition from the position history of the position history DB 25b to the time when the user can experience the event in the remaining period of the most recent condition. calculate. Such a probability is expressed as (the number of times that the user was able to experience the event / the number of registrations in the area / the total number of registered locations). In the example of FIGS. 5 and 7, since “no specification”, the probability Ac is “1” unconditionally. In the example of FIG. 6, the selection unit 26 b calculates “1” as the probability Ac because there is one day from the start date to the end date and currently exists in that region.

  In addition, the selection unit 26b calculates, from the history of the instruction history DB 25a, the probability Bc that an instruction will occur from the present to the time during which the user can experience the event in the remaining period of the most recent condition. For example, the selection unit 26b calculates, from the instruction history in the instruction history DB 25a, the probability Bc that an instruction will occur during the time from which the user can experience the event in the remaining period of the most recent condition. That is, the selection unit 26b calculates (the number of instructions detected at the time when the user can experience the event / the total number of detected instructions) as the probability Bc. In the example of FIG. 5, the selection unit 26b calculates (the number of instructions detected between 20:00 and 02: 00 / total number of instructions detected) as the probability Bc from the instruction history in the instruction history DB 25a. . In the example of FIG. 6, the selection unit 26b uses the instruction history stored in the instruction history DB 25a as the probability Bc (the number of instructions detected between 19:00 and 22: 00 / the total number of instructions detected). calculate. In the example of FIG. 7, the selection unit 26b uses the instruction history stored in the instruction history DB 25a as the probability Bc (the number of instructions detected between 20:00 and 21: 00 / the total number of instructions detected). calculate. In addition, about each of the example of FIGS. 5-7, the selection part 26b shall each calculate 0.97, 0.97, and 0.8 as the probability Bc.

  In addition, the selection unit 26b adds an additional number for determining whether or not the user can experience the event during the period from the present time until the user can experience the event in the remaining period of the most recent condition. A probability Cc that satisfies the condition is acquired from the external server 27. For example, the selection unit 26b calls “current_extra_probability”, and for an event such as “Look at Orion”, from the present time to the time during which the user can experience the event in the remaining period of the most recent condition, The probability of being “sunny” is acquired from the external server 27. In the example of FIG. 5, the selection unit 26b calls “current_extra_probability” to execute 20:00:00 on August 7, 2010 from 20:30 to 02:00 and August 8, 2010 to August 31, 2010. The probability that the weather at 02:00 is sunny is acquired. The selection unit 26b calculates the acquired probability as the probability Cc. In the example of FIG. 6, the selection unit 26 b calls “current_extra_probability” and acquires the probability that the weather on August 7, 2010 from 20:30 to 22:00 is clear. The selection unit 26b calculates the acquired probability as the probability Cc. In the example of FIG. 7, since there is no additional condition, the probability Cc is set to “1”. For each of the examples in FIGS. 5 and 6, the selection unit 26 b calculates 0.7 and 0.98 as the probability Cc.

  Further, the selection unit 26b calculates the latest possibility index Hc ′ based on the calculated Hc, Ac, Bc, and Cc. This possibility index Hc ′ indicates the degree to which an instruction is generated again within the period and time of the latest condition and the latest condition is again satisfied. Therefore, as the value of the possibility index Hc ′ is lower, the event corresponding to the most recent condition indicates that if the user misses the opportunity to experience now, it takes time until the next opportunity to experience.

  For example, the selection unit 26b calculates a product (Hc × Ac × Bc × Cc) of Hc, Ac, Bc, and Cc as the possibility index Hc ′. Note that the calculation method of the possibility index Hc ′ is not limited to this. For example, the sum (Hc + Ac + Bc + Cc) of Hc, Ac, Bc, and Cc may be used as the possibility index Hc ′. A value obtained by weighting the probabilities Hc, Ac, Bc, and Cc may be used as the possibility index Hc ′. In the example of FIG. 5, the selection unit 26b calculates, for example, the product of Hc, Ac, Bc, and Cc (1.0 × 0.97 × 0.7 × 149.5 = 101.51) as Hc ′. In the example of FIG. 6, the selection unit 26b calculates, for example, the product of Hc, Ac, Bc, and Cc (1.0 × 0.97 × 0.98 × 1.5 = 1.426) as Hc ′. To do. In the example of FIG. 7, the selection unit 26b calculates, for example, the product of Hc, Ac, Bc, and Cc (1.0 × 0.80 × 1.0 × 0.5 = 0.40) as Hc ′. To do.

  Further, the selection unit 26b calculates the remaining total time Hn of the next condition from the current time. The remaining total time Hn is a time during which the user can experience the event from the current time to the end time of the end date of the next condition. In the example of FIG. 5, the selection unit 26b calculates 31 (days) × 6 (hours) as the remaining total time Hn. Here, the total remaining time Hn is the sum of the remaining total time from tomorrow and today's remaining time. In the example of FIG. 6, the selection unit 26b calculates 1 (day) × 3.0 (hours) as the remaining total time Hn. In the example of FIG. 7, the selection unit 26 b calculates 1 (day) × 1 (hour) as the remaining total time Hn.

  Further, the selection unit 26b calculates, from the history of the position history DB 25b, the probability An existing in the area of the next condition from the present to the time during which the user can experience the event in the remaining period of the next condition. To do. For example, the selection unit 26b uses, as the probability An, the probability of existing in the area of the next condition from the position history of the position history DB 25b to the time during which the user can experience the event in the remaining period of the next condition from the present. calculate. Such a probability is expressed as (the number of times that the user was able to experience the event / the number of registrations in the area / the total number of registered locations). In the example of FIGS. 5 and 7, since “no specification”, the probability An is “1” unconditionally. Further, in the example of FIG. 6, the selection unit 26b calculates (the number of times that the area existed in the area from 18:00 to 21: 00 / total number of registered positions) from the position history of the position history DB 25b as the probability An. To do.

  Further, the selection unit 26b calculates the probability Bn that an instruction is generated from the history of the instruction history DB 25a between the present time and the time during which the user can experience the event in the remaining period of the next condition. For example, the selection unit 26b calculates, from the instruction history in the instruction history DB 25a, the probability Bn that an instruction will occur from the current time until the user can experience the event in the remaining period of the next condition. That is, the selection unit 26b calculates (the number of instructions detected at the time when the user can experience the event / the total number of detected instructions) as the probability Bn. In the example of FIG. 5, the selection unit 26b calculates (the number of instructions detected between 0:00 and 02: 00 / total number of instructions detected) as the probability Bn from the instruction history in the instruction history DB 25a. . In the example of FIG. 6, the selection unit 26b uses the instruction history stored in the instruction history DB 25a as the probability Bn (the number of instructions detected between 18:00 and 21: 00 / the total number of instructions detected). calculate. In the example of FIG. 7, the selection unit 26b uses the instruction history stored in the instruction history DB 25a as the probability Bn (the number of instructions detected between 18:00 and 19: 00 / the total number of instructions detected). calculate. In addition, about each of the example of FIGS. 5-7, the selection part 26b shall each calculate 0.97, 0.98, and 0.85 as the probability Bn.

  In addition, the selection unit 26b performs an additional process for determining whether or not the user can experience the event from the current time until the user can experience the event in the remaining period of the next condition. The probability Cn that satisfies the condition is acquired from the external server 27. For example, the selection unit 26b calls “next_extra_probability”, and for an event such as “Look at Orion”, from the present time until the time during which the user can experience the event in the remaining period of the next condition, The probability of being “sunny” is acquired from the external server 27. In the example of FIG. 5, the selection unit 26 b calls “next_extra_probability”, and acquires the probability that the weather from August 1st 2011 to August 31st 2011 is clear from 20:00 to 02:00. The selection unit 26b calculates the acquired probability as the probability Cn. In the example of FIG. 6, the selection unit 26 b calls “next_extra_probability” and acquires the probability that the weather on December 1, 2011, 18: 00 to 21:00 is clear. The selection unit 26b calculates the acquired probability as the probability Cn. In the example of FIG. 7, since there is no additional condition, the probability Cn is set to “1”. For each of the examples in FIGS. 5 and 6, the selection unit 26 b calculates 0.68 and 0.8 as the probability Cn.

  The selection unit 26b calculates the next possibility index Hn ′ based on the calculated Hn, An, Bn, and Cn. This possibility index Hn ′ indicates the degree to which an instruction is generated within the period and time of the next condition and the next condition is satisfied. Therefore, as the value of the possibility index Hn ′ is lower, the event corresponding to the next condition indicates that if the user misses the opportunity to experience now, it takes time until the next experience.

  For example, the selection unit 26b calculates the product (Hn × An × Bn × Cn) of Hn, An, Bn, and Cn as the possibility index Hn ′. Note that the calculation method of the possibility index Hn ′ is not limited to this. For example, the sum of Hn, An, Bn, and Cn (Hn + An + Bn + Cn) may be used as the possibility index Hn ′. A value obtained by weighting the probabilities Hn, An, Bn, and Cn may be used as the possibility index Hn ′.

  In the example of FIG. 5, the selection unit 26b calculates, for example, the product of Hn, An, Bn, and Cn (1.0 × 0.97 × 0.68 × 186 = 122.69) as Hn ′. In the example of FIG. 6, the selection unit 26b calculates, for example, a product (0.99 × 0.98 × 0.8 × 3 = 2.33) of Hn, An, Bn, and Cn as Hn ′. In the example of FIG. 7, the selection unit 26b calculates, for example, the product of Hn, An, Bn, and Cn (1.0 × 0.85 × 1.0 × 1.0 = 0.85) as Hn ′. To do.

  The selection unit 26b calculates a period Hd from the end date of the most recent condition to the start date of the next condition. The period Hd is, for example, the total number of days from the end date of the most recent condition to the start date of the next condition. In the example of FIG. 5, the selection unit 26b calculates 331 days from August 31, 2010 to August 1, 2011 as the period Hd. In the example of FIG. 6, the selection unit 26 b calculates 478 days from August 7, 2010 to December 1, 2011 as the period Hd. In the example of FIG. 7, the selection unit 26 b calculates 10 days from August 7, 2010 to August 17, 2010 as the period Hd.

Further, the selection unit 26b calculates the priority H based on the calculated Hc ′, Hn ′, and Hd. For example, the selection unit 26b calculates the priority H by weighting Hc ′, Hn ′, and Hd. For example, the selection unit 26b calculates the priority H according to the following equation (1).
Priority H = αHc ′ + βHn ′ + γHd (1)
However, α, β, and γ are predetermined values.

  Here, as each index of Hc ′ and Hn ′ is lower, an event corresponding to each index is an event that takes time until the next opportunity to experience if the user misses the opportunity to experience now Indicates. Therefore, when the values of α and γ are positive integers, by setting γ to a negative integer, the lower the priority H value, the higher the degree of indicating the unusualness of such an event. Moreover, the values of α, β, and γ can be arbitrarily set.

  For example, when α = 1.0, β = 0.7, and γ = −0.5, in the example of FIG. 5, the selection unit 26b sets (1.0 × 101.51 + 0) as the priority level H. 0.7 × 122.69−0.5 × 334 = 20.393). In the example of FIG. 6, the selection unit 26 b calculates (1.0 × 1.426 + 0.7 × 2.33−0.5 × 478 = −2355.943) as the priority H. In the example of FIG. 7, the selection unit 26 b calculates (1.0 × 0.4 + 0.7 × 0.85-0.5 × 10 = −4.005) as the priority H.

  Further, the selection unit 26b selects one provision information to be provided to the user based on the priority level H. For example, the selection unit 26b selects the provision information data with the lowest priority H from the provision information data of the provision candidates. As a result, if the user misses the opportunity to experience now, the provision information related to an event that takes time until the next opportunity to experience can be selected as provision information to be provided to the user. In the example of FIGS. 5 to 7, the selection unit 26 b provides the ID “11” illustrated in FIG. 6 having the lowest priority H among the plurality of pieces of provision information data including the latest condition and the next condition. The information data is selected as one provided information data to be provided to the user.

Next, a case where the number of provision information data of provision candidates is 0 will be described. The changing unit 26c sets the time advanced by the predetermined value Δt from the current time as the temporary current time. Further, the changing unit 26c sets the range of Δr around the current position of the user as the temporary current position. Further, the selection unit 26b performs the same process as the above process using the temporary current time and the temporary current position as the current time and the current position of the user. In the process using the temporary current time and the temporary current position, the temporary current time exceeds the time obtained by adding the predetermined time T _limit to the current time, or the temporary current position is centered on the current position. This is repeated until the predetermined range R _limit is exceeded.

  The providing unit 26d provides providing information to the user. For example, the providing unit 26d transmits the content of one piece of provided information data provided to the user, selected by the selecting unit 26b, to the mobile terminal 10 via the wireless communication unit 23. Also, the providing unit 26d outputs the content of one piece of provided information data provided to the user, selected by the selecting unit 26b, to the output unit 22. In addition, when the provision information data provided to the user is determined by the processing performed using the provisional current time and the provisional current position as the current time and the user's current position, the provision unit 26d Perform the following process. That is, the providing unit 26 d adds the changed time and position conditions to the content and transmits the content to the mobile terminal 10 via the wireless communication unit 23. For example, when the changing unit 26c advances the current time by Δt and the position is expanded by Δr, the providing unit 26d adds “the time is after Δt at the beginning of the character string of the content, and“ provided information “region” If it is in [information], a condition according to the degree of change of the changing unit 26c is added. Accordingly, the providing unit 26d can provide information with appropriate contents according to the degree of change when the position and time are changed.

  The update unit 26e updates the provision information data registered in the provision information DB 25c. For example, the update unit 26e monitors the end date and end time of the period of the latest condition of the provided information data registered in the provided information DB 25c. Then, the update unit 26e compares the current time with the end time of the end date of the most recent condition period, and determines whether the current time has passed the end time of the end date of the most recent condition period. The determination is made at predetermined intervals, for example, at intervals of 1 minute. When the current time has passed the end time of the end date of the period of the latest condition, the update unit 26e updates the latest condition and the next condition for the provided information data. An example of such update will be described. For example, the update unit 26e calls “update”. Then, by "update", the current time is the closest period to the condition including the period closest to the current time among the periods included in the provided information data that has passed the end time of the end date of the period of the most recent condition. The condition including the next period is acquired from the external server 27 via the communication unit 24. Then, by “update”, the content of the latest condition of the provided information data is updated with the condition including the period closest to the acquired current time as the latest condition. Also, by “update”, the contents of the next condition of the provided information data are updated with the condition including the next period of the acquired nearest period as the next condition.

  The registration / deletion unit 26f registers the provision information in the provision information DB 25c and deletes the provision information registered in the provision information DB 25c. For example, when the registration instruction with ID is input from the input unit 21, the registration / deletion unit 26 f accesses the external server 27 via the communication unit 24. Then, the registration / deletion unit 26 f acquires the provision information data corresponding to the ID from the external server 27 via the communication unit 24 by specifying the ID for the accessed external server 27. Then, the registration / deletion unit 26f registers the acquired provision information data in the provision information DB 25c.

  Further, when a deletion instruction with an ID is input from the input unit 21, the registration / deletion unit 26f deletes the provision information data corresponding to the ID from the provision information data registered in the provision information DB 25c.

  The control unit 26 is an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA) or an electronic circuit such as a central processing unit (CPU) or a micro processing unit (MPU).

[Process flow]
Next, a processing flow of the information providing apparatus 20 according to the present embodiment will be described. FIG. 8 is a flowchart of the information providing process according to the first embodiment. This information providing process is executed when the information providing apparatus 20 receives an instruction to execute the information providing process from the mobile terminal 10.

  As shown in FIG. 8, the detection unit 26a detects the time of the instruction to execute the information providing process, and registers the detected time as a history in the instruction history DB 25a (step S101).

  Then, the detection unit 26a detects the position of the user, and registers the detected position as a history in the position history DB 25b shown in FIG. 3 (step S102). Subsequently, the selection unit 26b executes a “first selection process” for selecting a provision candidate (step S103).

  Then, the selection unit 26b counts the number of selected provision candidates (Step S104). When the number of selected provision candidates is plural (step S104: plural), the selection unit 26b executes “second selection process” (step S105). If the number of provision candidates selected is one (step S104: one), the process proceeds to step S106 described later.

  On the other hand, when the number of selected provision candidates is 0 (step S104: 0), the changing unit 26c sets the time advanced by a predetermined value Δt from the current time as the provisional current time. Further, the changing unit 26c sets a range enlarged by Δr around the current position of the user as the temporary current position (step S107). Then, the selection unit 26b executes the “first selection process” using the temporary current time and the temporary current position as the current time and the current position of the user (step S108). Subsequently, the selection unit 26b counts the number of selected provision candidates (Step S109).

  When the number of selected provision candidates is plural (step S109: plural), the selection unit 26b sets the provisional current time and the current position as the current time and the current position of the user as the “second selection process”. Is executed (step S110). When the “second selection process” is executed in step S110, when the number of provision candidates is one (step S109: one), the providing unit 26d performs the following process. That is, the providing unit 26d adds a condition corresponding to the degree of change of the changing unit 26c to the content of the provision information data of the offer candidate to be provided to the user (Step S111).

On the other hand, when the number of provision candidates is 0 (step S109: 0), the changing unit 26c performs the following process. That is, the changing unit 26c determines that the temporary current time exceeds the time obtained by adding the predetermined time T _limit to the current time, or the temporary current position is within a predetermined range R _limit centered on the current position. Is determined (step S112).

The temporary current time does not exceed the time obtained by adding the predetermined time T _limit to the current time, and the temporary current position does not exceed the predetermined range R _limit centered on the current position (step S112). (No), it returns to step S107.

On the other hand, when the temporary current time exceeds the time obtained by adding the predetermined time T _limit to the current time, or the temporary current position exceeds a predetermined range R _limit centered on the current position (step (Yes at S112), the process is terminated.

  Then, the providing unit 26d transmits the content of the provided information data provided to the user to the mobile terminal 10 via the wireless communication unit 23. Further, the providing unit 26d outputs the content of the provided information data provided to the user to the output unit 14 (Step S106), and ends the process.

  Next, the first selection process executed in steps S103 and S108 will be described. FIG. 9 is a flowchart illustrating the procedure of the first selection process according to the first embodiment.

  As illustrated in FIG. 9, the selection unit 26b provides the provided information data in which the current position of the user is within the area of the most recent condition and the current date and time is within the period from the start date to the end date of the most recent condition. Select. Then, the selection unit 26b selects, from the selected provided information data, provided information data whose current time is within the time period from the start time to the end time of the latest condition as a provision candidate (Step S201). The result is stored in the internal memory of the control unit 26, and the process returns.

  Then, the selection unit 26 b executes “check_extra_condition”, and acquires from the external server 27 a determination result of an additional condition for determining whether or not the user can experience the event at present. Then, only provision information relating to an event for which the user can experience the event is set as a provision candidate (step S202).

  Subsequently, the second selection process executed in steps S105 and S110 will be described. FIG. 10 is a flowchart illustrating the procedure of the second selection process according to the first embodiment.

  As illustrated in FIG. 10, the selection unit 26b calculates the remaining total time Hc (step S301). Subsequently, the selection unit 26b calculates a probability Ac (step S302). Subsequently, the selection unit 26b calculates a probability Bc (step S303). Then, the selection unit 26b calculates a probability Cc (step S304). Thereafter, the selection unit 26b calculates a possibility index Hc ′ (step S305).

  Then, the selection unit 26b calculates the remaining total time Hn (step S306). Subsequently, the selection unit 26b calculates a probability An (step S307). Then, the selection unit 26b calculates the probability Bn (step S308). Subsequently, the selection unit 26b calculates a probability Cn (step S309). Thereafter, the selection unit 26b calculates a possibility index Hn ′ (step S310).

  Then, the selection unit 26b calculates the total number of days Hd (step S311). Subsequently, the selection unit 26b calculates the priority H (step S312). Then, the selection unit 26b selects a provision candidate having a high priority and the lowest priority H value (step S313), stores the selection result in the internal memory of the control unit 26, and returns.

[Effect of Example 1]
As described above, the information providing apparatus 20 according to the present embodiment, when there are a plurality of provision candidates, provides one to the user based on the possibility indexes Hc ′ and Hn ′ and the period Hd. Select an advertisement. These possibility indexes Hn ′ and Hc ′ indicate that the smaller the value, the more time it takes for the user to experience the next event if the corresponding event misses the opportunity to experience now. Further, the larger the value of the period Hd is, the more the value of the period Hd is, the more time it takes for the user to experience the corresponding event if the corresponding event misses the opportunity to experience now. Therefore, according to the present embodiment, since one provision information to be provided to the user is selected based on the possibility indexes Hc ′, Hn ′ and the period Hd, if the user misses the opportunity to experience now, It is possible to select provision information of an event that takes time until an opportunity to experience it.

  Moreover, the information provision apparatus 20 which concerns on a present Example selects the provision information data which can be provided when the present time and a user's present position are changed. And the information provision apparatus which concerns on a present Example adds the conditions according to the change degree to the content provided to a user. Therefore, according to the present embodiment, appropriate content can be provided to the user even when the user's position and time are changed.

  Moreover, the information provision apparatus 20 which concerns on a present Example updates the registration content of provision information DB25c so that the last establishment period may become after the present time. Therefore, according to the present embodiment, it is possible to provide the provision information DB 25c whose registration contents are always optimum.

  The information device 20 according to the present embodiment can be used in various scenes. For example, suppose a student learns about the constellations such as Orion and Scorpio, astronomical fields such as the lunar eclipse and solar eclipse in the course of the subject “Science”. In such a case, it is possible to provide the child with information on “lunar eclipse” and the like, which has little opportunity to see if he misses it now.

  Although the embodiments related to the disclosed apparatus and system have been described above, the present invention may be implemented in various different forms other than the above-described embodiments. Therefore, another embodiment included in the present invention will be described below.

[Selection method]
In the first embodiment, the case where one provision information to be provided to the user is selected based on the possibility indexes Hc ′, Hn ′, and the period Hd is illustrated, but the disclosed apparatus and system are not limited thereto. For example, the disclosed apparatus may select the provision information having the longest period Hd based only on the period Hd. In this case, at least the start date and end date of the most recent condition period and the start date and end date of the next condition period need only be registered in the provision information DB 25c.

[apparatus]
In the first embodiment, the case where the mobile terminal 10 and the information providing apparatus 20 are separate apparatuses is illustrated, but the disclosed apparatus and system are not limited thereto. For example, in the disclosed apparatus, the mobile terminal 10 and the information providing apparatus 20 can be combined into one apparatus.

  In addition, among the processes described in the first embodiment, all or a part of the processes described as being automatically performed can be manually performed. In addition, among the processes described in this embodiment, all or a part of the processes described as being performed manually can be automatically performed by a known method. For example, in steps S101 and S102 in FIG. 8, a person may register date and time, position, and time, respectively.

  In addition, the processing at each step of each processing described in each embodiment can be arbitrarily finely divided or combined according to various loads and usage conditions. Also, the steps can be omitted. For example, the processing in steps S301 to S311 illustrated in FIG. 11 may be omitted, and “γHd” may be set as the priority Hd in step S312.

  Further, the order of processing at each step of each processing described in each embodiment can be changed according to various loads and usage conditions. For example, steps 306 to 310 can be performed before the steps S301 to S305 shown in FIG. 11 are performed.

  Further, each component of each illustrated apparatus is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific state of distribution / integration of each device is not limited to the one shown in the figure, and all or a part thereof may be functionally or physically distributed or arbitrarily distributed in arbitrary units according to various loads or usage conditions. Can be integrated and configured. For example, the detection unit 26a, the selection unit 26b, and the change unit 26c illustrated in FIG. 1 may be integrated.

[Information provision program]
Various processes of the information providing apparatus described in the above embodiments can also be realized by executing a program prepared in advance on a computer system such as a personal computer or a workstation. Therefore, in the following, an example of a computer that executes an information providing program having the same function as the information providing apparatus described in the above embodiment will be described with reference to FIG. FIG. 11 is a diagram illustrating a computer that executes an information providing program.

  As illustrated in FIG. 11, the computer 300 according to the second embodiment includes a central processing unit (CPU) 310, a read only memory (ROM) 320, a hard disk drive (HDD) 330, and a random access memory (RAM) 340. These units 300 to 340 are connected via a bus 400.

  The ROM 320 stores in advance an information provision program 320a that performs the same functions as the detection unit 26a, the selection unit 26b, the change unit 26c, the provision unit 26d, and the update unit 26e described in the first embodiment. . Note that the information providing program 320a may be separated as appropriate. For example, a program that exhibits the same function as the detection unit 26a, a program that exhibits the same function as the selection unit 26b, the changing unit 26c, and the providing unit 26d, and a program that exhibits the same function as the updating unit 26e May be separated.

  Then, the CPU 310 reads the information providing program 320a from the ROM 320 and executes it.

  The HDD 330 is provided with a position history DB 330a, an instruction history DB 330b, and a provision information DB 330c. Each of the position history DB 330a, the instruction history DB 330b, and the provided information DB 330c corresponds to the position history DB 25a, the instruction history DB 25b, and the provided information DB 25c shown in FIG.

  Then, the CPU 310 reads out the position history DB 330a, the instruction history DB 330b, and the provision information DB 330c and stores them in the RAM 340. Further, the CPU 310 executes the information provision program using the position history DB data 340a, the instruction history DB data 340b, and the provision information DB data 340c stored in the RAM 340. Each data stored in the RAM 340 does not always need to be stored in the RAM 340, and only the data necessary for the process may be stored in the RAM 340.

  Note that the above-described information providing program is not necessarily stored in the HDD 330 from the beginning.

  For example, the program is stored in a “portable physical medium” such as a flexible disk (FD), a CD-ROM, a DVD disk, a magneto-optical disk, or an IC card inserted into the computer 300. Then, the computer 300 may read and execute the program from these.

  Furthermore, the program is stored in “another computer (or server)” connected to the computer 300 via a public line, the Internet, a LAN, a WAN, or the like. Then, the computer 300 may read and execute the program from these.

DESCRIPTION OF SYMBOLS 10 Portable terminal 11 Position detection part 12 Instruction detection part 13 Wireless communication part 14 Output part 20 Information provision apparatus 23 Wireless communication part 24 Communication part 25 Storage part 25a Instruction history DB
25b Location history DB
25c Provided information DB
26 control unit 26a detection unit 26b selection unit 26c change unit 26d provision unit 26e update unit 26f registration / deletion unit 27 external server

Claims (8)

For each of a plurality of provision information relating to an event provided to a user, a storage unit that stores condition information indicating a condition for establishing each event, and stores information on at least the latest establishment period and the next establishment period;
When the latest establishment period stored in the storage unit overlaps between a plurality of provision information, based on a period between the latest establishment period and the next establishment period for each provision information, A selection unit for selecting one piece of information to be provided to the user;
An information providing apparatus comprising:   The selection unit selects, as one piece of provision information to be provided to the user, the provision information having the longest period between the most recent establishment period and the next establishment period from among the overlapping provision information. The information providing apparatus according to claim 1.   A first experience that allows the user to experience an event corresponding to the period between the most recent establishment period for each overlapping provision information and the next establishment period and the most recent establishment period for each of the overlapping provision information. One offer to be provided to the user based on either one or both of the possibilities or the second possibility that the user can experience the corresponding event during the next establishment period for each of the duplicate provided information The information providing apparatus according to claim 1, wherein information is selected. The selection unit may be located in an area where the event is established in a time zone where each event is established, may be requested by the user to provide information during the time zone, The first possibility and the second possibility are calculated by calculating the first possibility and the second possibility on the basis of the possibility that another condition is satisfied and the remaining time of the time period. The information providing apparatus according to claim 3, wherein one provided information to be provided to the user is selected based on one or both of the second possibilities. The selection unit selects providing information related to an event that occurs after a predetermined time, or provides information related to an event that occurs when the user moves a predetermined distance from a predetermined position. The information providing device according to any one of claims 1 to 4, wherein the information providing device is selected when existing at a position. The update part which updates the said condition information memorize | stored in the said memory | storage part so that the said last establishment period may become after the present | current time, The any one of Claims 1-5 characterized by the above-mentioned. The information providing apparatus according to the description. On the computer,
For each of a plurality of provision information related to an event provided to a user, the latest information stored in a storage unit that stores condition information indicating conditions under which each event is satisfied and stores at least the latest establishment period and the next establishment period One provision information to be provided to the user based on a period between the most recent establishment period and the next establishment period for each piece of provision information. An information providing program characterized by causing a process to be selected to be executed. An information providing method executed by a computer,
For each of a plurality of provision information related to an event provided to a user, the latest information stored in a storage unit that stores condition information indicating conditions under which each event is satisfied and stores at least the latest establishment period and the next establishment period One provision information to be provided to the user based on a period between the most recent establishment period and the next establishment period for each piece of provision information. Information providing method characterized by selection.

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