JP6262271B2 - Information processing system, information processing method, and program - Google Patents

Description

  The present invention relates to an information processing system, an information processing method, and a program.

  In recent years, when going to various places with an information processing device equipped with GPS (Global Positioning System) function, the action history is accumulated as an action log in the information processing device and arrives at a certain place (for example, a station) In this case, based on the user's behavior history (behavior log), information on the facility visited by the user in the past among the facility information and surrounding information near the location (for example, the station) or the location searched by the user in the past A technique for displaying and recommending information that matches the user's preference, such as the peripheral information, has already been realized.

  Specifically, a log of destination location information and the like is acquired using the GPS function installed in the information processing apparatus, and within a predetermined time from a point (for example, a station) where the user's behavior prediction is started List destinations (facility names, etc.) that are within a predetermined distance range. Then, based on the action log accumulated in the information processing apparatus, a visit for each destination is calculated based on a ratio between the total number of visits to the point (for example, a station) and the number of visits by the user for each destination listed. Estimated values are calculated and displayed.

  Non-Patent Document 1 discloses a technology that links a plurality of information such as a schedule registered in a calendar in an information terminal, current position information by GPS, and search history, and predicts and presents information required by the user at that time. It is disclosed. For example, if a schedule including destination information is registered in the calendar, the schedule information including the required time to the destination will be presented. For example, when you arrive at a station or airport, the departure of the next flight will be checked against the current time The time and the like are presented on the information terminal.

“At the right time for the information you want on Google Now”, [online], [searched on November 15, 2015], Internet << URL: https://www.google.com/landing/now/ >>

  However, in the conventional visited place prediction apparatus, when a destination existing at a relatively short distance is predicted, there is a high possibility that the rough selection of the destination has already been completed before the user arrives at the point. In that case, there is a problem that the following points are not taken into consideration when predicting the user's visited place.

  One is focusing on a specific type of facility (for example, a baseball stadium, a racetrack, etc., hereinafter also referred to as “specific destination type”), and the frequency of going to a specific destination type compared to other regions. If the action history (action log) that is high is accumulated, it is natural that the possibility of visiting that type of facility increases. However, in the conventional visited place prediction apparatus, information related to a facility of a specific destination type and other facility information and surrounding information related to the visited place are presented on average. Therefore, for a user who visits only a specific destination type, a lot of unnecessary information is presented in a mixed manner, so that the information becomes redundant and information that the user really wants is not presented. .

  On the other hand, as a result of comparing the number of facilities of the same type for each region, if the number of facilities of the same type in an area is extremely small compared to other areas, the user can Assuming that the same type of facility has been visited the same number of times in a certain area, the more famous the facility is in the area or the very rare facility, the more likely the user visits the area when the user visits the area It is natural that the nature becomes higher.

  However, in the conventional visited place prediction apparatus, information is presented only on the basis of the user's visit history (behavior log) in other areas and a certain area. Even if it is rare, when a user visits a certain area, the information on the facility, other facility information in the certain area, and other surrounding information are presented on average, which is also useless. There is a problem that a lot of information is included.

  The other is focusing on a specific area (for example, Shinjuku in Tokyo, hereinafter also referred to as “specific area”), and comparing the destination type with a specific destination type in the specific area. If an action history (behavior log) indicating that the visit frequency is high is accumulated, it is natural that the possibility of visiting a specific area where the destination type exists increases. However, with a conventional visited area prediction device, even if a specific area is visited, information related to the specific area depends on information according to the characteristics of each area in addition to the user's visit history (behavior log). Since the information is presented to the user, there is a problem that the information that the user really wants is not presented.

  For example, Shinjuku in Tokyo has a characteristic that there are many restaurants but few bookstores. In this case, assuming that the user has visited the restaurant and the bookstore the same number of times in Shinjuku, the conventional visited site prediction apparatus provides information according to the characteristics of each region in addition to the user's visit history (behavior log). Because it presents, there is a problem that the information that you really want to know can not be obtained reliably. That is, in Shinjuku, although the bookstore is visited as many times as the restaurant, information according to the characteristics of each region is presented. There is a problem that more people are presented than information about bookstores.

  In addition, since the technique described in Non-Patent Document 1 is to present using information at the present time the user is present, for example, if there is such information for a person who is currently in Mirai in Yokohama It only presents information that is convenient, and does not consider what kind of life the person usually lives. For example, information on train timetables and bus timetables that can be boarded from Minato Mirai Station at the present time, information that events that can be attended at the present time are held nearby, and the like are presented.

  However, since the information about what kind of life the user himself / herself usually lives is not considered, for example, when working at the office in Minato Mirai area during the daytime on weekdays, and traveling on business trips with business partners, Even if there is a user's behavior pattern that there are many trains going to Tokyo, Yokohama, as a timetable of trains that can be boarded from Minatomirai Station, The user is presented with a timetable of trains heading toward the Motomachi Chinatown area, which is less necessary, on average.

  Therefore, the present invention has been made in view of the above-described conventional problems, and an object thereof is to provide an information processing system, an information processing method, and a program capable of predicting a user's destination with higher accuracy. And

  In order to solve the above-described problem, the information processing system according to the first aspect of the present invention provides a ratio of the number of visits to each type of facility to the total number of visits to a facility existing in a predetermined region for each of a plurality of regions. First calculation means for calculating each, second calculation means for calculating the ratio of the number of facilities of each type of facility to the total number of facilities existing in the predetermined area for each of the plurality of areas, and the facility First correction means for correcting the number of visits of the site by the ratio calculated by the first calculation means and the ratio calculated by the second calculation means, and each region for the total number of visits to a predetermined type of facility A third calculating means for calculating the ratio of the number of visits to the facility for each type of facility, and the ratio of the number of facilities in each area to the total number of facilities of the predetermined type Calculate for each type A second calculating means for correcting the number of visits to the facility by the ratio calculated by the third calculating means and the ratio calculated by the fourth calculating means; And fifth calculation means for calculating a corrected frequency of visits to a predetermined facility based on the number of visits corrected by the first correction means and the number of visits corrected by the second correction means.

  Moreover, in order to solve the said subject, the information processing method in this invention of Claim 5 sets the ratio of the frequency | count of visit to each kind of facility with respect to the total number of visits to the facility which exists in a predetermined area in several areas. A first calculation step that calculates each for each of the plurality of regions, a second calculation step that calculates a ratio of the number of facilities of each type of facility to the total number of facilities existing in the predetermined region for each of the plurality of regions, A first correction step of correcting the number of visits to a facility by the ratio calculated in the first calculation step and the ratio calculated in the second calculation step; and the total number of visits to a predetermined type of facility A third calculation step of calculating a ratio of the number of visits to facilities in each area for each type of facility; and a ratio of the number of facilities in each area to the total number of facilities of the predetermined type Calculated for each type of facility And a second correction step of correcting the number of visits to the facility by the ratio calculated in the third calculation step and the ratio calculated in the fourth calculation step, And a fifth calculation step of calculating a corrected frequency of visits to a predetermined facility based on the number of visits corrected in the first correction step and the number of visits corrected in the second correction step.

  Furthermore, in order to solve the above-described problem, a program for causing a computer of the information processing system according to the present invention to execute the program is provided for each type of facility with respect to the total number of visits to the facility existing in a predetermined area. A first calculation process for calculating a ratio of the number of visits for each of a plurality of regions, and a ratio of the number of facilities of each type of facility to the total number of facilities existing in the predetermined region are calculated for each of the plurality of regions. A second calculation process; a first correction process for correcting the number of visits to the facility by the ratio calculated in the first calculation process and the ratio calculated in the second calculation process; and a predetermined type A third calculation process for calculating, for each type of facility, a ratio of the number of visits to the facility in each region with respect to the total number of visits to the facility, and each region for the total number of facilities of the predetermined type A fourth calculation process for calculating a ratio of the number of facilities for each type of the facility, and a number of visits to the facility is calculated by the ratio calculated by the third calculation process and the fourth calculation process. The corrected frequency of visits to a predetermined facility is calculated based on the second correction process corrected by the ratio, the number of visits corrected in the first correction process, and the number of visits corrected in the second correction process. And a fifth calculation process.

  Moreover, in order to solve the said subject, the information processing system in this invention of Claim 7 WHEREIN: The ratio of the frequency | count of the visit to each kind of facility with respect to the total number of visits to the facility which exists in a predetermined area is set to several areas. A first calculating means for calculating each of the plurality of areas, a second calculating means for calculating the ratio of the number of facilities of each type of facility to the total number of facilities existing in the predetermined area for each of the plurality of areas; First correction means for correcting the number of visits to a facility with the ratio calculated by the first calculation means and the ratio calculated by the second calculation means, and the number of visits corrected by the first correction means And sixth calculating means for calculating a corrected frequency of visits to a predetermined facility.

  And in order to solve the said subject, the information processing system in this invention of Claim 8 sets the ratio of the frequency | count of the visit to the facility of each area with respect to the total visit count to the facility of a predetermined kind for every kind of facility. Third calculation means for calculating each, fourth calculation means for calculating the ratio of the number of facilities in each area to the total number of facilities of the predetermined type of facility for each type of facility, Second correction means for correcting the number of visits to the facility based on the ratio calculated by the third calculation means and the ratio calculated by the fourth calculation means, and the number of visits corrected by the second correction means And seventh calculating means for calculating a corrected frequency of visits to a predetermined facility.

  According to the present invention, an information processing system, information processing method, and program capable of predicting a user's destination with higher accuracy are obtained.

It is an example of the hardware block diagram of the information processing apparatus which concerns on this embodiment. It is an example of the functional block diagram of the information processing apparatus which concerns on this embodiment. It is a figure explaining the frequency | count of a visit and the visit rate with respect to the facility which exists in the specific range memorize | stored in the information processing apparatus which concerns on this embodiment, and a facility classification. (A) The figure which represented the visit frequency with respect to various facilities according to area memorize | stored in the information processing apparatus which concerns on embodiment of this invention according to area, (b) The figure which represented the number of various facilities which exist in each area according to area, (C) A figure showing the frequency of visits to various facilities by region corrected by the ratio of the number of facilities in each region (a diagram showing the visit frequency corrected from (a) by (b)) It is. (A) The figure which expressed the visit frequency with respect to each area according to facility type memorize | stored in information processing apparatus in embodiment of this invention, (b) The figure which represented the number of facilities which exist in each area according to facility type, (c) It is the figure (the figure showing the visit frequency which corrected (a) in (b)) which corrected what expressed visit frequency to each area according to the facility type by the ratio of the number of facilities according to the facility type which exists in each area. . What corrected the visit frequency for the facility type by region with the ratio of the number of facilities existing by region, and corrected the visit frequency for the region by facility type with the ratio of the number of facilities existing by facility type FIG. 6 is a view obtained by merging (additional average of FIG. 4C and FIG. 5C). It is a figure explaining the operation | movement flow of the information processing apparatus in embodiment of this invention.

  Next, embodiments for carrying out the present invention will be described in detail with reference to the drawings. In addition, in each figure, the same code | symbol is attached | subjected to the part which is the same or it corresponds, The duplication description is simplified thru | or abbreviate | omitted suitably. Hereinafter, although this embodiment is described, this embodiment is not limited to the embodiment described below. In addition, although embodiment described below has mentioned and demonstrated the application program mounted in a smart phone as a specific example, it is applicable with respect to all the application programs mounted in the information processing apparatus which can be carried.

  First, an example of a hardware block diagram of the information processing apparatus according to the present embodiment will be described. FIG. 1 is an example of a hardware block diagram of the information processing apparatus according to the present embodiment.

  In FIG. 1, an information processing apparatus 1 according to the present embodiment includes a CPU (Central Processing Unit) (control unit) 101 that controls the operation of the entire information processing apparatus 1 as a hardware configuration. Further, a main storage unit such as a ROM (Read Only Memory) 102 and a RAM (Random Access Memory) 103 for storing various data and various programs is provided. Further, an auxiliary storage unit such as a FLASH ROM 104 for storing various rewritable data and various programs is provided.

  In addition, an input / output interface 105 for connecting to other external devices is provided. In addition, an operation / display unit 106 is provided that displays information about the state of the information processing apparatus 1 and the execution result of the application program, as well as the user's operation to input information. In addition, a wireless communication unit 108 that performs communication with a base station and the like, and a GPS communication unit 107 that performs communication with a GPS are provided.

  The CPU 101, ROM 102, RAM 103, FLASH ROM 104, input / output interface 105, operation / display unit 106, wireless communication unit 108, and GPS communication unit 107 are connected by a bus 109. Various processes in the information processing apparatus 1 are realized by the CPU 101 executing various programs stored in the ROM 102, the RAM 103, and the FLASH ROM 104. However, the present invention is not limited to this, and these functions can also be realized by using circuits such as individual hardware.

  Next, an example of a functional block diagram of the information processing apparatus according to the present embodiment will be described. FIG. 2 is an example of a functional block diagram of the information processing apparatus according to the present embodiment.

  In FIG. 2, the information processing apparatus 1 according to the present embodiment includes a specific-range facility storage unit 201, a specific-range facility type storage unit 202, and a visit history storage unit 203 as functional blocks. . For example, within a specific range refers to a range in which the user is living in a normal life (for example, within the Tokyo 23 wards if the user is resident in the Tokyo ward). The range may be arbitrarily set by the user through the operation / display unit 106 of the information processing apparatus 1.

  The in-specificity facility storage unit 201 stores, for example, the names of facilities (for example, a museum, d restaurant, i bookstore, etc.) existing in the 23 wards of Tokyo, together with their existing areas. The specific range facility type storage unit 202 stores, for example, the types of facilities existing in the 23 wards of Tokyo (for example, museums, restaurants, bookstores, etc.) together with their existing areas. The visit history storage unit 203 stores, for example, a facility name, facility type, number of visits, and visit date and time visited by a user who lives in the Tokyo ward, together with the area where the user resides. In addition, how much past visit history is memorized as visit history is arbitrary, the past may be traced back to the time of purchasing information processing apparatus 1, and a user's hobby preference changes and facilities to visit It may be the past when the change of the type of has started to appear.

  For example, when a user visits an X Museum in Hokkaido that has never been visited before, the visit history storage unit 203 stores the visit to the X Museum and specifies an existing museum in Hokkaido. You may make it memorize | store in the in-range facility memory | storage part 201, measure how many types of facilities of an art museum exist in the area of Hokkaido, and make it memorize | store in the specific in-range facility type memory | storage part 202. FIG. In addition, the specific-range facility storage unit 202 divides the information into life sphere ranges based on the storage efficiency, and adds the information based on the visit history. Of course, the information of the whole world may be stored from the beginning without being divided.

  Further, the information processing apparatus 1 according to the present embodiment includes an area-specific visit ratio calculation unit 204 and a facility type-specific visit ratio calculation unit 207. The regional visit ratio calculation unit 204 calculates a ratio of the number of visits to each type of facility from the visit histories stored in the visit history storage unit 203 to the total number of visits to facilities existing in a predetermined region. It is calculated for each region. The facility type visit ratio calculation unit 207 calculates, from the visit history stored in the visit history storage unit 203, the ratio of the number of visits to facilities in each region with respect to the total number of visits to a given type of facility. Each is calculated.

  Furthermore, the information processing apparatus 1 according to the present embodiment includes an area-specific facility number ratio calculation unit 205 and a facility type-specific facility number ratio calculation unit 208. The area-specific facility number ratio calculating unit 205 calculates the ratio of the number of facilities of each type of facility to the total number of facilities existing in a predetermined region from the facilities stored in the specific-range facility storage unit 201. Are calculated respectively. The facility type ratio calculation unit 208 by facility type is a ratio of the number of facilities in each area to the total number of facilities of a predetermined type from among the facility types stored in the facility type storage unit 202 within the specific range. Is calculated for each type of facility.

  In addition, the information processing apparatus 1 according to the present embodiment stores a facility for each region in the specific-range facility storage unit 201 in advance, and stores a region-specific facility type in the specific-range facility type storage unit 202 in advance. doing.

  The information processing apparatus 1 according to the present embodiment includes an area-specific facility number ratio correction unit 206 and a facility type-specific facility number ratio correction unit 209. The area-specific facility ratio correction unit 206 calculates the number of visits to the predetermined facility acquired from the visit history storage unit 203 to the predetermined facility existing in the predetermined area calculated by the area-specific visit ratio calculation unit 204. This is corrected by the ratio of the number of visits and the ratio of the number of facilities of a predetermined facility existing in the predetermined region calculated by the region-specific facility number ratio calculation unit 205. The facility type ratio correction unit 209 for each facility type visits a predetermined type of facility calculated by the facility type visit ratio calculation unit 207 based on the number of visits to the predetermined facility acquired from the visit history storage unit 203. The frequency ratio is corrected by the ratio of the number of facilities of a predetermined type of facility calculated by the facility type ratio calculation unit 208 by facility type.

  In addition, the information processing apparatus 1 according to the present embodiment includes a visit count calculation unit 210. The number-of-visits calculation unit 210 adds the number of visits of the predetermined facility corrected by the area-specific facility number ratio correction unit 206 and the number of visits of the predetermined facility type corrected by the facility-type facility number ratio correction unit 209 Based on the average, the corrected visit frequency to a predetermined facility of a predetermined type is calculated.

  Note that in the information processing apparatus 1 according to the present embodiment, the number of visits to a predetermined facility corrected by the area-specific facility number ratio correction unit 206 and the predetermined facility type corrected by the facility type-specific facility number ratio correction unit 209 Based on the number of visits, the corrected visit frequency to a predetermined facility of a predetermined type is calculated, but the number of visits of a predetermined facility corrected by the regional facility number ratio correction unit 206, or The corrected visit frequency to a predetermined facility of a predetermined type may be calculated using any one of the number of visits of the predetermined facility type corrected by the facility number ratio correcting unit 209 by facility type. .

  Also, using the visit date and time information to each facility stored in the visit history storage unit 203, each ratio is calculated for each day of the week or time zone visited to each facility, and corrected according to the day of the week or time zone It is also possible to calculate the visited frequency.

  The specific-range facility storage unit 201 and the specific-range facility type storage unit 202 are realized by the RAM 103, for example, and the visit history storage unit 203 is realized by the FLASH ROM 104, for example. Moreover, the visit ratio calculation part 204 according to area, the visit ratio calculation part 207 according to facility type, the facility number ratio calculation part 205 according to area, the facility number ratio calculation part 208 according to facility type, the facility number ratio correction part 206 according to area, the facility type The separate facility number ratio correction unit 209 and the visit frequency calculation unit 210 are realized by the CPU 101, for example. The specific-range facility storage unit 201, the specific-range facility type storage unit 202, and the visit history storage unit 203 are stored in a server provided outside the information processing apparatus 1, and various data are acquired from the server. You may do it. Moreover, the visit ratio calculation part 204 according to area, the visit ratio calculation part 207 according to facility type, the facility number ratio calculation part 205 according to area, the facility number ratio calculation part 208 according to facility type, the facility number ratio correction part 206 according to area, the facility type The calculation / correction functions performed in the separate facility number ratio correction unit 209 and the visit frequency calculation unit 210 are all performed by a server provided outside the information processing apparatus 1, and only the calculation / correction result is transmitted from the server to the information processing apparatus 1. May be received.

  Next, the number of visits and the visit rate for facilities and facility types that exist within a specific range stored in the information processing apparatus according to the present embodiment will be described. FIG. 3 is a diagram illustrating the number of visits and the visit rate with respect to facilities and facility types that exist within a specific range stored in the information processing apparatus according to the present embodiment.

  The visit history storage unit 203 described in FIG. 2 stores a table as shown in FIG. Ueno, Shinjuku, and Ginza on the vertical axis of the table are the names of areas where the facilities visited by the user in the past exist. The art museum, restaurant, and bookstore on the horizontal axis of the table are types of facilities that the user has visited in the past. The second alphabet on the horizontal axis of the table is the unique name of the facility such as A Museum, B Museum, ..., D Restaurant, E Restaurant, ..., I Bookstore, J Bookstore, ... . In Ginza, there are other art museums other than the A art museum, the B art museum, and the C art museum, but since this user has never visited the art museum in Ginza, it is omitted from FIG. . The same applies to restaurants and bookstores.

  The number of facilities on the vertical axis of the table is the number of facilities that exist in the area. For example, there are 3 museums in Ueno, 10 restaurants in Shinjuku, and 2 bookstores in Ginza. Indicates that it exists. And the intersection of the vertical axis | shaft of a table and a horizontal axis has each shown the frequency | count of visit. For example, the user has visited the A Museum in Ueno in the past 5 times, has visited the F restaurant in Shinjuku in the past 10 times, and has visited the L bookstore in Ginza in the past 3 times. Show.

  Furthermore, the visit rate at the bottom of the horizontal axis of the table is 5/54 * 100≈9.3 because the user has visited the A Museum in Ueno in the past 5 times, compared to the total number of visits by the user 54 times. It is calculated as a percentage.

  Next, the frequency of visits to various facilities stored in the information processing apparatus according to the embodiment of the present invention is represented by region, the number of various facilities present in each region is represented by region, and various facilities We will explain what the frequency of visits is expressed by region and corrected by the ratio of the number of facilities in each region. FIG. 4 is a diagram showing (a) the frequency of visits to various facilities stored in the information processing apparatus according to the embodiment of the present invention, and (b) the number of various types of facilities existing in each region. Figure that shows, (c) Figure that corrected visit frequency to various facilities according to area by ratio of the number of various facilities existing in each area (visit frequency that (a) was corrected in (b) Figure).

  As described with reference to FIG. 3, the user has visited the A Museum in Ueno for the past five times and the B Museum for the past two times. Therefore, the museum has been visited seven times in total in the past as a facility type in Ueno. As shown in “Ueno” on the horizontal axis of the table in FIG. 3, the user has visited the area called Ueno a total of 12 times in the past. Therefore, as shown in FIG. 4A, the visit frequency (ratio by region) of art museums in the area of Ueno is 7/12 * 100≈58%.

  Similarly, the past 10 visits to F restaurants in Shinjuku and the last 8 visits to G restaurants. Since the user has visited the area called Shinjuku 36 times in the past, the frequency of restaurant visits (area ratio) in the area called Shinjuku is 18/36 * 100 = 50%. Similarly, he has visited L bookstores in Ginza three times in the past. Since the user has visited the area called Ginza six times in the past, the bookstore visit frequency (area ratio) in the area called Ginza is 3/6 * 100 = 50%. The table shown in FIG. 4A is calculated by the regional visit ratio calculation unit 204 described with reference to FIG.

  Next, as explained in FIG. 3, there are three facilities called art museums in the area called Ueno, and in the area called Ueno, there are 10 restaurants and two bookstores in addition to the art museum. Exists. Therefore, as shown in FIG. 4B, there are three art museums in Ueno, and the ratio of the museum type in the area where the facility type is Ueno is 3/15 * 100 = 20%. Similarly, there are 10 restaurants in the area called Shinjuku, and there are a total of 15 facilities in the area called Shinjuku. Therefore, as shown in FIG. 4B, there are 10 restaurants in Shinjuku, and the ratio that the facility type of restaurant is in the area of Shinjuku is 10/15 * 100≈67%.

  Similarly, there are two bookstores in the area called Ginza, and in the area called Ginza, there are nine facilities in total, including two museums and five restaurants. Therefore, as shown in FIG. 4B, there are two bookstores in Ginza, and the ratio of the bookstore facility type in the area of Ginza is 2/9 * 100≈22%. The table shown in FIG. 4B is calculated by the area-specific facility number ratio calculation unit 205 described with reference to FIG.

  In this embodiment, the number of visits of a predetermined facility existing in a predetermined area calculated by the region-specific visit ratio calculation unit 204 is calculated as the ratio of the number of visits of a predetermined facility existing in the predetermined area and Correction is made with the ratio of the number of facilities of a predetermined facility existing in a predetermined area calculated by the facility number ratio calculation unit 205. In other words, the number of visits (seven times) representing the visit frequency for the facility type of the museum shown in FIG. 4 (a) by region (for example, Ueno) is divided into regions (for example, Ueno) by FIG. 4 (b). It is corrected by the ratio of the number of existing facilities (20% of museums). Then, as shown in FIG. 4C, the number of visits for the ratio correction of the number of facilities (museum) by region (Ueno) is (7/12) / (3/15) * 7≈20.42.

  Similarly, the number of visits (three times) representing the visit frequency for the facility type of art museum shown in FIG. 4A by region (for example, Shinjuku) is divided into the number of visits by region (for example, Shinjuku) shown in FIG. 4 (c), as shown in Fig. 4 (c), the number of visits for the area (Shinjuku) facility (museum) ratio correction is (3/36) / (1/15) * 3 = 3.75 times.

  Also, the number of visits (4 times) representing the frequency of visits to the facility type of restaurant shown in FIG. 4 (a) by region (for example, Ueno) is represented by region (for example, Ueno) by FIG. 4 (b). If corrected by the ratio of the number of facilities existing in the area (67% of restaurants), as shown in FIG. 4 (c), the number of visits in the area correction (Ueno) facility (restaurant) ratio correction is (4/12 ) / (10/15) * 4 = 2.00 times. Furthermore, the number of visits (one time) showing the visit frequency for the facility type of the bookstore shown in FIG. 4 (a) for each region (for example, Ueno) is divided into the regions (for example, Ueno) for FIG. 4 (b). When corrected by the ratio of the number of existing facilities (13% of bookstores), as shown in FIG. 4C, the number of visits for correction of the ratio of (Ueno) facilities (restaurants) by region is (1/12) / (2/15) * 1≈0.63 times.

  Also, the number of visits (18 times) representing the frequency of visits to the facility type of restaurant shown in FIG. 4 (a) by region (for example, Shinjuku), and the number of visits by region (for example, Shinjuku) shown in FIG. 4 (b). 4 (c), as shown in FIG. 4 (c), the number of visits for the area (Shinjuku) facility (restaurant) ratio correction is (18/36). ) / (10/15) * 18 = 13.50 times. Then, the number of visits (three times) representing the frequency of visits to the facility type of restaurant shown in FIG. 4 (a) by region (for example, Ginza) is divided by region (for example, Ginza) by FIG. 4 (b). 4 (c), as shown in FIG. 4 (c), the number of visits by region (Ginza) facility (restaurant) ratio correction is (3/6). ) / (5/9) * 3 = 2.70 times.

  In addition, the number of visits (15 times) representing the frequency of visits to the facility type of the bookstore shown in FIG. 4 (a) by region (for example, Shinjuku) is divided into regions (for example, Shinjuku) by FIG. 4 (b). When corrected by the ratio of the number of existing facilities (27% of bookstores), as shown in FIG. 4 (c), the number of visits in the area (Shinjuku) facility (bookstore) ratio correction is (15/36) / ( 4/15) * 15≈23.44 times. Furthermore, the number of visits (three times) representing the frequency of visits to the facility type of the bookstore shown in FIG. 4A by region (for example, Ginza) is divided by region (for example, Ginza) as shown in FIG. When corrected by the ratio of the number of existing facilities (22% of bookstores), as shown in FIG. 4 (c), the number of visits for correcting the ratio of (Ginza) facilities (bookstore) by region is (3/6) / ( 2/9) * 3 = 6.75 times.

  Then, according to the visit frequency of the facility ratio correction by region shown in FIG. 4 (c), the number of visits to the museum, restaurant, and bookstore when visiting Ueno is 20.42 times, 2.00 times, 0.63 times, a total of 23.05 times. Therefore, in Ueno, the percentages of visiting art museums, restaurants, and bookstores are 89%, 9%, and 3%. The number of visits to the museum, restaurant, and bookstore when visiting Shinjuku is 3.75 times, 13.50 times, and 23.44 times, respectively, for a total of 40.69 times. Therefore, the ratio of visiting museums, restaurants and bookstores in Shinjuku is 9%, 33% and 58%. Furthermore, the number of visits to the museum, restaurant, and bookstore when visiting Ginza is 0.00, 2.70, and 6.75, respectively, for a total of 9.45. Therefore, in Ginza, the percentages of visiting museums, restaurants, and bookstores are 0%, 29%, and 71%.

  Thus, for example, the frequency of visits to Ueno museums is 58% as shown in FIG. 4A, even though the percentage of museums in the area Ueno in FIG. 4B is 20%. When visiting Ueno, the ratio of going to the museum is corrected to a high probability of 89% as shown in FIG. 4C, assuming that the number of museums, restaurants, and bookstores is the same. . Further, as shown in FIG. 4A, since the ratio of visiting Ueno restaurants is 33%, it seems that they visit a relatively large amount. As shown in FIG. 4 (b), it seems that the ratio of restaurants in Ueno is as high as 67%, so it seems that they are visiting a relatively large amount, and in fact, it is shown in FIG. 4 (c). Thus, it can be seen that the rate of visiting Ueno restaurants is corrected to a low probability of 9%.

  Furthermore, as shown in FIG. 4B, the ratio of bookstores in Shinjuku and Ginza is approximately the same, but as shown in FIG. Since the visit frequency is slightly high, in FIG. 4C, the difference between the visit frequency of the Shinjuku bookstore and the visit frequency of the Ginza bookstore has been corrected to be large, and the visit frequency of the Ueno bookstore is even smaller. It has been corrected to become.

  Also, as shown in FIG. 4 (b), the ratio of the number of facilities in Ueno restaurants and Shinjuku restaurants are the same, but as shown in FIG. 4 (a), compared to Ueno restaurants, Shinjuku 4 (c) is corrected to reduce the frequency of visiting Ueno restaurants, and the frequency of visits to restaurants in Shinjuku and restaurants in Ginza It is corrected so that the difference from the visit frequency of

  In FIG. 4 (c), the visit frequency of the Ueno art museum is corrected from 58% to 89%. However, when calculating the 89% visit frequency, the day of the week and the time zone may be taken into consideration. . For example, if you refer to the opening hours of each museum, it is necessary to verify an enormous amount of data. Generally, it is rare to visit museums at night, and museums that open at night. If the user has never visited, the information need not be considered. However, if there is special information such as a famous painting exhibition or a topical event being held and admission to the museum at night, other systems (eg SNS (Social Networking Service)) Etc.) may be mixed.

  Next, the visit frequency for each area stored in the information processing apparatus according to the embodiment of the present invention is represented by the facility type, the number of facilities existing in each area is represented by the facility type, the visit frequency for each area A description will be given of what is expressed by facility type corrected by the ratio of the number of facilities by facility type existing in each region. FIG. 5 shows (a) the frequency of visits to each region stored in the information processing apparatus according to the embodiment of the present invention, and (b) the number of facilities existing in each region. , (C) A figure in which the frequency of visits to each region expressed by facility type is corrected by the ratio of the number of facilities by facility type existing in each region ((a) represents the visit frequency corrected by (b) Figure).

  As described with reference to FIG. 3, the user has visited the A Museum in Ueno for the past five times and the B Museum for the past two times. Therefore, the museum has been visited seven times in total in the past as a facility type in Ueno. As shown in “Museum” on the vertical axis of the table in FIG. 3, the user has visited the facility type of art museum a total of 10 times in the past. Therefore, as shown in FIG. 5A, the visit frequency (the ratio by facility type) of Ueno in the facility type of art museum is 7/10 * 100 = 70%.

  Similarly, the past 10 visits to F restaurants in Shinjuku and the last 8 visits to G restaurants. And since the user has visited the past 25 times for the facility type of restaurant, the visit frequency (ratio by facility type) of Shinjuku in the facility type of restaurant is 18/25 * 100 = 72%. Similarly, he has visited L bookstores in Ginza three times in the past. The user has visited the bookstore facility type 19 times in the past, so the Ginza visit frequency (ratio by facility type) for the bookstore facility type is 3/19 * 100≈16%. The table shown in FIG. 5A is calculated by the facility type visit ratio calculation unit 207 described in FIG.

  Next, as described with reference to FIG. 3, there are three types of facilities called art museums in the area called Ueno, one in the area called Shinjuku, and two in the area called Ginza. Therefore, as shown in FIG. 5B, the ratio of the museum type facility existing in the area Ueno is 3/6 * 100 = 50%, and the ratio existing in the area Shinjuku is 1/6 * 100≈17. %, The ratio existing in the area of Ginza is 2/6 * 100≈33%. Similarly, there are 10 facility types called restaurants in the area called Ueno, 10 in the area called Shinjuku, and 5 in the area called Ginza. Therefore, as shown in FIG. 5 (b), the ratio of the facility type “restaurant” existing in the area of Ueno is 10/25 * 100 = 40%, and the ratio existing in the area of Shinjuku is 10/25 * 100 = 40%, the ratio existing in the area of Ginza is 5/25 * 100 = 20%.

  Similarly, there are two facility types called bookstores in the area called Ueno, four in the area called Shinjuku, and two in the area called Ginza. Therefore, as shown in FIG. 5B, the ratio of the bookstore facility type existing in the area Ueno is 2/8 * 100 = 25%, and the ratio existing in the area Shinjuku is 4/8 * 100 = 50. %, The ratio existing in the area of Ginza is 2/8 * 100 = 25%. The table shown in FIG. 5B is calculated by the facility type ratio calculation unit 208 described in FIG.

  In this embodiment, the number of visits of a predetermined facility type existing in a predetermined area calculated by the visit ratio calculation unit 207 by facility type is the ratio of the number of visits of a predetermined facility type existing in the predetermined area. The correction is made with the ratio of the number of facilities of a predetermined facility type existing in a predetermined area calculated by the facility type ratio calculation unit 208 by facility type. That is, the frequency of visits to the facility type (for example, art museum) shown in FIG. 5A is represented by the ratio of the number of facilities in the area where the facility type (for example, art museum) shown in FIG. 5B exists (50% of Ueno). ). Then, as shown in FIG. 5 (c), the number of visits for facility-specific (art museum) facility number (art museum) ratio correction is (7/10) / (3/6) * 7 = 9.8.

  Similarly, when the visit frequency for the facility type (for example, art museum) shown in FIG. 5A is corrected by the ratio of the number of facilities in the area where the facility type (for example, art museum) exists (17% of Shinjuku), FIG. As shown in c), the number of visits for facility-specific (art museum) facility number (art museum) ratio correction is (3/10) / (1/6) * 3 = 5.4.

  Further, when the visit frequency for the facility type (for example, restaurant) shown in FIG. 5A is corrected by the ratio of the number of facilities in the area where the facility type (for example, restaurant) exists (40% of Ueno), FIG. As shown in (c), the number of visits for correction of the number of facilities (restaurants) and the number of facilities (restaurants) ratio is (4/25) / (10/25) * 4 = 1.60 times. Furthermore, when the frequency of visits to the facility type (eg, bookstore) shown in FIG. 5A is corrected by the ratio of the number of facilities in the area where the facility type (eg, bookstore) exists (25% of Ueno), FIG. ), The number of visits for correction of the number of facilities (bookstore) and the number of facilities (bookstore) ratio is (1/19) / (2/8) * 1≈0.21.

  Further, when the visit frequency for the facility type (for example, restaurant) shown in FIG. 5A is corrected by the ratio of the number of facilities in the area where the facility type (for example, restaurant) exists (40% of Shinjuku), FIG. As shown in (c), the number of visits for correcting the number of facilities (restaurants) and the number of facilities (restaurants) ratio is (18/25) / (10/25) * 18 = 32.40 times. Then, when the visit frequency for the facility type (for example, restaurant) shown in FIG. 5A is corrected by the ratio of the number of facilities in the area where the facility type (for example, restaurant) exists (20% of Ginza), FIG. As shown in (c), the number of visits for facility-specific (restaurant) facility number (restaurant) ratio correction is (3/25) / (5/25) * 3 = 1.80 times.

  Further, when the visit frequency for the facility type (for example, bookstore) shown in FIG. 5A is corrected by the ratio of the number of facilities in the area where the facility type (for example, bookstore) exists (50% of Shinjuku), FIG. ), The number of visits for correction of the number of facilities (bookstore) and the number of facilities (bookstore) ratio is (15/19) / (4/8) * 15 = 23.68 times. Further, when the visit frequency for the facility type (for example, bookstore) shown in FIG. 5A is corrected by the ratio of the number of facilities in the area where the facility type (for example, bookstore) exists (25% of Ginza), FIG. ), The number of visits for the facility-specific (bookstore) facility count (bookstore) ratio correction is (3/19) / (2/8) * 3 = 1.89.

  Then, according to the visit frequency of the facility type ratio correction by facility type shown in FIG. 5 (c), the number of visits to Ueno, Shinjuku, and Ginza when visiting the museum is 9.80 times, 5.40 times, 0.00 times, a total of 15.2 times. Therefore, the percentages of visiting Ueno, Shinjuku and Ginza as museums are 64%, 36% and 0%. The number of visits to Ueno, Shinjuku, and Ginza when visiting restaurants is 1.60 times, 32.40 times, and 1.80 times, for a total of 35.8 times. Therefore, the ratio of visiting Ueno, Shinjuku and Ginza as restaurants is 4%, 91% and 5%. Furthermore, the number of visits to Ueno, Shinjuku, and Ginza when visiting a bookstore is 0.21, 23.68, and 1.89, respectively, for a total of 25.78. Therefore, the percentages of visiting Ueno, Shinjuku and Ginza as bookstores are 1%, 92% and 7%.

  Thus, for example, in FIG. 5 (a), the frequency of visiting Ueno is biased to 70% when visiting the museum, and as shown in FIG. 5 (b), 33% of the facility types are museums in Ginza. However, as shown in FIG. 5A, the user has never visited the Ginza art museum in the past. In addition, since the user has visited the art museum in Shinjuku where there is only one place, the visit frequency should be a little higher. Therefore, in FIG. 5C, the frequency of visiting the Ueno art museum is corrected to 64%, and the frequency of visiting the art museum when visiting Shinjuku is corrected from 30% to 36%.

  As shown in Fig. 5 (b), the ratio of restaurants in Ueno and Ginza is the same, but as shown in Fig. 5 (a), when visiting a restaurant, a visit to visit Shinjuku Since the frequency is overwhelmingly high, in FIG. 5 (c), the frequency of visiting Shinjuku when visiting a restaurant has been corrected to be quite high at 91%, and the frequency of Ueno visits is considerably reduced. It has been corrected.

  Furthermore, as shown in FIG. 5B, when visiting a bookstore, the ratio of bookstores in Shinjuku and Ueno or Ginza is 2 to 1, but as shown in FIG. The frequency of visiting Shinjuku is overwhelmingly high when visiting, so in FIG. 5 (c), the frequency of visiting Shinjuku when visiting a bookstore has been corrected to 92%, and Ueno Or it is corrected so that the visit frequency of Ginza becomes considerably small.

  Next, the visit frequency for the facility type stored in the information processing apparatus according to the embodiment of the present invention expressed by region is corrected by the ratio of the number of facilities existing by region, and the visit frequency for the region is represented by facility type. A description will be given of what has been merged with those corrected by the ratio of the number of facilities existing for each facility type. Fig. 6 shows the ratio of the number of facilities presenting by facility type to the number of facilities presenting for each facility type corrected by the ratio of the number of facilities existing for each region, and the frequency of visits to the region represented by facility type. It is the figure which merged what was correct | amended by (The figure which took the addition average of FIG.4 (c) and FIG.5 (c)).

  Based on the results of FIG. 4C and FIG. 5C, the final visit frequency of visiting Ueno and visiting the museum will be examined. As shown in FIG. 3, Ueno has been visited 12 times and the museum has been visited 10 times. In FIG. 4C, a visit frequency of 89% is calculated by correcting the visit frequency for the facility type (museum) by region (Ueno) with the ratio of the number of facilities existing by region (Ueno). In FIG. 5C, the visit frequency of 64% is calculated by correcting the visit frequency for the facility type (museum) by the ratio of the area existing for each facility type (museum). Therefore, if the average of both is taken, the number of visits of 12 * 89% (20.42 / 23.05) + 10 * 64% (9.8 / 15.2) ≈17.08 times is obtained.

  Similarly, Ueno has been visited 12 times and restaurants have been visited 25 times. And in FIG.4 (c), the visit frequency of 9% which correct | amended the thing which represented the visit frequency with respect to a facility classification (restaurant) according to area (Ueno) by the ratio of the number of facilities which exist according to area (Ueno). In FIG. 5 (c), a visit frequency of 4% is calculated by correcting the visit frequency for the facility type (restaurant) with the ratio of the area existing for each facility type (restaurant). Therefore, if the average of both is taken, the number of visits of 12 * 9% (2 / 23.05) + 25 * 4% (1.6 / 35.8) ≈2.16 times is obtained.

  He has visited Ueno 12 times and bookstore 19 times. In FIG. 4 (c), a visit frequency of 3% calculated by correcting the visit frequency for the facility type (bookstore) by region (Ueno) with the ratio of the number of facilities existing by region (Ueno) is calculated. In FIG. 5C, the visit frequency of 1% is calculated by correcting the visit frequency with respect to the facility type (bookstore) by the ratio of the area existing for each facility type (bookstore). Therefore, when the average of both is taken, the number of visits of 12 * 3% (0.63 / 23.05) + 19 * 1% (0.21 / 25.78) ≈0.48 times is obtained.

  Then, the total number of visits to Ueno would be 17.08 + 2.16 + 0.48 = 19.72 times, and the percentages of visiting Ueno museums, restaurants and bookstores would be 87%, 11% and 2%, respectively. . This means that he visited Ueno 19.72 times, of which he visited 17.08 times. In FIG. 4 (c), the ratio of visiting the museum in Ueno was 89%, but in FIG. 5 (c), the ratio of visiting the museum in Ueno was 64%. Although it has decreased, it is corrected to the visit frequency taking into account the tendency that the visit frequency shown in FIG. 4A is higher than the ratio of the number of facilities shown in FIG. 4B.

  Next, I visited Shinjuku 36 times and the museum 10 times. In FIG. 4C, the visit frequency of 9% is calculated by correcting the visit frequency for the facility type (museum) by region (Shinjuku) by the ratio of the number of facilities existing by region (Shinjuku). In FIG. 5C, the visit frequency of 36% is calculated by correcting the visit frequency for the facility type (museum) by the ratio of the area existing for each facility type (museum). Therefore, if the average of both is taken, the number of visits of 36 * 9% (3.75 / 40.69) + 10 * 36% (5.4 / 15.2) ≈6.87 times is obtained.

  I have visited 36 times in Shinjuku and 25 times in restaurants. And in FIG.4 (c), the visit frequency of 33% which correct | amended the thing which expressed the visit frequency with respect to a facility classification (restaurant) according to area (Shinjuku) with the ratio of the number of facilities which exist according to area (Shinjuku). In FIG. 5 (c), a visit frequency of 91% is calculated by correcting the visit frequency for the facility type (restaurant) with the ratio of the area existing for each facility type (restaurant). Therefore, if the average of both is taken, the number of visits of 36 * 33% (13.5 / 40.69) + 25 * 91% (32.4 / 35.8) ≈34.57 times is obtained.

  I visited Shinjuku 36 times and bookstores 19 times. In FIG. 4C, the visit frequency of 58% is calculated by correcting the visit frequency for the facility type (bookstore) by region (Shinjuku) by the ratio of the number of facilities existing by region (Shinjuku). In FIG. 5C, the visit frequency of 92% is calculated by correcting the visit frequency for the facility type (bookstore) with the ratio of the area existing for each facility type (bookstore). Therefore, when the average of both is taken, the number of visits of 36 * 58% (23.44 / 40.69) + 19 * 92% (23.68 / 25.78) ≈38.19 times is obtained.

  Then, the total number of visits to Shinjuku is 6.87 + 34.57 + 38.19 = 79.63 times, and the ratios of visiting art museums, restaurants and bookstores in Shinjuku are 9%, 43% and 48%, respectively. . In FIG. 5 (c), the ratio of visiting art museums in Shinjuku was 36%, but in FIG. 4 (c), the percentage of visiting art museums in Shinjuku was 9%. Low correction. In FIG. 5 (c), the percentage of bookstores visiting Shinjuku was 92%. However, in FIG. 4 (c), the ratio of visiting bookstores in Shinjuku is as low as 58%. It was done.

  Next, I visited Ginza six times and visited restaurants 25 times. And in FIG.4 (c), the visit frequency of 29% which correct | amended what represented the visit frequency with respect to a facility classification (restaurant) according to area (Ginza) by the ratio of the number of facilities which exist according to area (Ginza). In FIG. 5 (c), a visit frequency of 5% is calculated by correcting the visit frequency for the facility type (restaurant) with the ratio of the area existing for each facility type (restaurant). Therefore, if the average of both is taken, the number of visits of 6 * 29% (2.7 / 9.45) + 25 * 29% (1.8 / 35.8) ≈2.97 times is obtained.

  He has visited Ginza six times and bookstore 19 times. Then, in FIG. 4C, the visit frequency of 71% is calculated by correcting the visit frequency for the facility type (bookstore) by region (Ginza), corrected by the ratio of the number of facilities present in the region (Ginza). In FIG. 5C, the visit frequency of 7% is calculated by correcting the visit frequency for the facility type (bookstore) with the ratio of the area existing for each facility type (bookstore). Therefore, when the average of both is taken, the number of visits of 6 * 71% (6.74 / 9.45) + 19 * 7% (1.89 / 25.78) ≈5.68 times is obtained.

  Then, the total number of visits to Ginza is 2.97 + 5.68 = 8.65, and the ratio of visiting restaurants and bookstores in Ginza is 34% and 66%, respectively. And the ratio of visiting restaurants in Ginza in FIG. 5 (c) was 5%, but the ratio of visiting restaurants in Ginza in FIG. 4 (c) was 29%, so it was slightly 34%. Highly corrected. In FIG. 5 (c), the percentage of bookstores visiting Ginza was 7%. However, in FIG. 4 (c), the ratio of visiting bookstores in Ginza is as high as 71%. It was done.

  In this way, in FIG. 6, the visit frequency is corrected from the viewpoint of how the user's past visit history is corrected when the same number of facilities of the same facility type exists. The information regarding the frequently visited facilities that are represented is selectively output to the user. Specifically, information on a predetermined facility of a predetermined facility type having a visit frequency shown in FIG. 6 calculated by the visit frequency calculation unit 210 is recommended to the user. Using the information of the visit date and time to each facility stored in the visit history storage unit 203, each ratio was calculated for each day of the week and time zone visited to each facility, and corrected according to the day of the week and time zone When the visit frequency is calculated, information on a predetermined facility can be recommended to the user selectively according to the current day of the week or time.

  In the present embodiment, the result of FIG. 4C and the result of FIG. 5C are described as being merged on a one-to-one basis, but what weight is given to the two to be merged? 4C and the visit frequency of FIG. 5C may be determined by learning which visit frequency matches the user. For example, when changing the weighting according to the learned ratio, depending on whether or not the information presented according to the corrected visit frequency is the information desired by the user, FIGS. 4C and 5C. It is determined which correction should be dominant. Then, as learning progresses, the recommended information is presented to the user so as to match the information desired by the user. This will vary from user to user or visit facility.

  In recommending information to the user, additional information may be added in addition to the user's action history and location (facility) information described above. For example, when presenting information related to a museum, additional information such as closing information of the museum, contents of exhibitions currently being held, discount information, and the like may be recommended. Further, it is assumed that even the user who does not visit the museum in daily life has accessed such recommendation information. For example, when an advertiser makes an announcement when a new museum opens, it is meaningless to advertise to users who have never visited the museum, and to users who have already visited the new museum. There is no point in advertising. The advertiser can intensively issue advertisements to users who access the recommended information that is likely to visit a new museum.

  Next, an operation flow of the information processing apparatus according to the embodiment of the present invention will be described. FIG. 7 is a diagram for explaining the operation flow of the information processing apparatus according to the embodiment of the present invention.

  When the search of information using the input / output interface 105 of the information processing apparatus 1 is started, the region-specific visit ratio calculation unit 204 is selected from the visit histories stored in the visit history storage unit 203 in the process of step S701. The ratio of the number of visits to each type of facility with respect to the total number of visits to the facility existing in the predetermined area is calculated for each of the plurality of areas. Then, in the processing of step S702, out of the facilities stored in the specific range facility storage unit 201, the area-specific facility number ratio calculation unit 205 calculates the number of facilities of each type with respect to the total number of facilities existing in the predetermined area. The ratio of numbers is calculated for each of a plurality of regions. Further, in the process of step S703, the area-specific facility number ratio correction unit 206 corrects the number of visits by area calculated in the process of step S701 with the area-specific facility number ratio calculated in the process of step S702. .

  Further, in the process of step S704, from the visit history stored in the visit history storage unit 203, the facility type visit ratio calculation unit 207 applies the total number of visits to a predetermined type of facility to the facility in each region. The ratio of the number of visits is calculated for each type of facility. Then, in the processing of step 705, the facility type ratio calculation unit 208 by facility type is selected from the facility types stored in the specific range facility type storage unit 202 in each area for the total number of facilities of a predetermined type of facility. The ratio of the number of existing facilities is calculated for each type of facility. Furthermore, in the process of step S706, the facility type ratio correction unit 209 by facility type calculates the number of visits by facility calculated in the process of step S704 by the facility type ratio by facility type calculated in the process of step S705. Make corrections.

  In the process of step S707, the visit number calculation unit 210 corrects the number of visits for each area calculated in the process of step S703 by the ratio of the number of facilities for each area, and the number of visits for each facility calculated in the process of step S706. The corrected visit frequency is calculated by merging with the number of visits corrected by the number of facilities by facility type. In step S708, information desired by the user is selectively displayed on the operation / display unit 106 based on the obtained result.

  As described above, in the process of step S707, the number of visits for each area calculated in the process of step S703 is corrected by the ratio of the number of facilities for each area, or for each facility calculated in the process of step S706. The corrected visit frequency is calculated using any one of the number of visits corrected by the number of facilities by facility type, and in the process of step S708, information desired by the user is selectively operated based on the obtained result. You may make it display on the display part 106. FIG.

  Note that the operation flow of the information processing apparatus according to the present embodiment shown in FIG. 7 can be executed by a program on a computer. That is, a CPU (control unit) 101 configuring the information processing apparatus 1 loads a program stored in the ROM 102. Then, each processing step of the program is performed sequentially.

  As described above, in this embodiment, the visit history, the facility for each region, and the facility type for each region are stored in advance, and the number of visits of the facility is calculated for each region in the region where the facility exists from the visit history. The ratio is calculated for each type of facility, corrected by the ratio of the number of facilities that exist for each region where the facility exists, and the ratio of the number of visits for each facility type for each facility type for each facility. It is calculated and corrected by the ratio of the number of facilities existing for each facility type.

  Moreover, you may consider the accommodation capacity. A facility with a large capacity, such as an art museum, has a small number of facilities and is often concentrated on a specific facility. Compared to this, in the case of a facility such as a restaurant, the number of facilities is large, and it is relatively difficult to concentrate on a specific facility. Specifically, the number of persons accommodated for each facility type may be used as a reference. In the example of FIG. 4B, the number of facilities is the museum 3 and the restaurant 10, but the reference may be changed as the museum 300 and the restaurant 100 as the total number of accommodation for each facility type. Further, the number of persons accommodated in each facility may be used, but a substitute with an average number of persons of a certain type may be used. In this embodiment, correction is performed using a simple ratio, but the n-th power value is used to make the correction when the frequency is significantly different, or the logarithmic value of the ratio is set to make the correction gentle. It may be used.

  Then, one or both of the one obtained by correcting the visit frequency for each region by the ratio of the number of facilities by region and the one obtained by correcting the visit frequency for each type of facility by the ratio of the number of facilities by facility type are used. Thereby, it is supposed that the user predicts where the user is likely to visit and where the user is likely to visit, and estimates it with a relatively high probability.

  Thus, according to the present invention, it is possible to obtain an information processing system, an information processing method, and a program that can predict a user's destination with higher accuracy.

  As mentioned above, although embodiment of this invention has been described so far, embodiment of this invention is not limited to embodiment mentioned above. That is, other embodiments, additions, changes, deletions, and the like can be changed within the scope that can be conceived by those skilled in the art, and as long as the effects of the present invention are exhibited in any aspect, the scope of the present invention is included. It is included.

1 Information processing apparatus 101 CPU
102 ROM
103 RAM
104 FLASH ROM
DESCRIPTION OF SYMBOLS 105 Input / output interface 106 Operation / display part 107 GPS communication part 108 Wireless communication part 109 Bus 201 Facility within specific area storage part 202 Facility type storage part within specific range 203 Visit history storage part 204 Area-specific visit ratio calculation part 205 Number ratio calculation unit 206 Area-specific facility number ratio correction unit 207 Facility type-specific visit ratio calculation unit 208 Facility type-specific facility number ratio calculation unit 209 Facility type-specific facility number ratio correction unit 210 Visit frequency calculation unit

Claims (8)

A first calculation means for calculating a ratio of the number of visits to each type of facility to the total number of visits to a facility existing in a predetermined area for each of a plurality of areas;
Second calculating means for calculating the ratio of the number of facilities of each type of facility to the total number of facilities existing in the predetermined region for each of the plurality of regions;
The visits of the each type of facility, the number of visits the each type of facility, by multiplying the ratio of the ratio calculated by the first calculating means for ratio calculated by the second calculating means First correcting means for correcting;
Third calculating means for calculating the ratio of the number of visits to facilities in each region to the total number of visits to facilities of a predetermined type for each type of facility;
Fourth calculation means for calculating the ratio of the number of facilities in each area to the total number of facilities of the predetermined type of facility for each type of facility;
The visits of the each type of facility, the number of visits the each type of facility, by multiplying the ratio of the ratio calculated by the third calculating means for ratios calculated by the fourth calculation means Second correcting means for correcting;
To the number of visits to the predetermined area, to the facilities of each type in the predetermined area corrected by the first correction means for the total number of visits to the predetermined area corrected by the first correction means. The number of visits multiplied by the ratio of the number of visits and the number of visits to the facility of the predetermined type are corrected by the second correction means for the total number of visits to the various facilities corrected by the second correction means. A fifth calculating means for calculating a corrected frequency of visits to a predetermined facility by an average of the number of visits multiplied by a ratio of the number of visits to each type of facility in the predetermined area ;
An information processing system comprising:   The information processing system according to claim 1, wherein information on the predetermined facility is selectively output based on the corrected visit frequency information.   The visit history storage unit for storing the number of visits to each type of facility and the number of visits to the facility in each region based on the past behavior history of the user. 2. The information processing system according to 2. A visit history storage unit that stores the number of visits to each type of facility and the number of visits to the facility in each region in relation to the day or time of the behavior based on the user's past behavior history Including
The first calculation means and the third calculation means calculate the respective ratios for each day of the week or time zone, and the fifth calculation means calculates the visit frequency corrected according to the day of the week or the time zone. The information processing system according to claim 1, wherein the information processing system is calculated. The computer of the information processing system
A first calculation step of calculating, for each of a plurality of regions, a ratio of the number of visits to each type of facility to the total number of visits to facilities existing in a predetermined region;
A second calculation step of calculating a ratio of the number of facilities of each type of facility to the total number of facilities existing in the predetermined region for each of the plurality of regions;
The visits of the each type of facility, the number of visits the each type of facility, by multiplying the ratio of the proportions calculated in the first calculation step for the ratio calculated in the second calculation step A first correction step to correct;
A third calculation step for calculating the ratio of the number of visits to facilities in each region to the total number of visits to a given type of facility for each type of facility;
A fourth calculation step of calculating, for each type of facility, a ratio of the number of facilities in each area to the total number of facilities of the predetermined type of facility;
The visits of the each type of facility, the number of visits the each type of facility, by multiplying the ratio of the proportions calculated in the third calculation step for the ratio calculated in the fourth calculation step A second correction step to correct;
To the number of visits to the predetermined area, to the facilities of each type in the predetermined area corrected by the first correction means for the total number of visits to the predetermined area corrected in the first correction step . The number of visits multiplied by the ratio of the number of visits and the number of visits to the predetermined type of facility are corrected by the second correction means for the total number of visits to the various facilities corrected in the second correction step. A fifth calculation step of calculating a corrected visit frequency to the predetermined facility by an average of the number of visits multiplied by a ratio of the number of visits to each type of facility in the predetermined area ;
An information processing method characterized by executing a process including: In the computer of information processing system
A first calculation process for calculating, for each of a plurality of regions, a ratio of the number of visits to each type of facility to the total number of visits to a facility existing in a predetermined region;
A second calculation process for calculating a ratio of the number of facilities of each type of facility to the total number of facilities existing in the predetermined region for each of the plurality of regions;
The visits of the each type of facility, the number of visits the each type of facility, by multiplying the ratio of the ratio calculated by the first calculation process for the ratio calculated in the second calculation process A first correction process to be corrected;
A third calculation process for calculating the ratio of the number of visits to facilities in each region to the total number of visits to a given type of facility for each type of facility;
A fourth calculation process for calculating, for each type of facility, a ratio of the number of facilities in each area to the total number of facilities of the predetermined type of facility;
The visits of the each type of facility, the number of visits the each type of facility, by multiplying the ratio of the ratio calculated by the third calculation process for the ratio calculated in the fourth calculation process A second correction process to be corrected;
To the number of visits to the predetermined area, to the facilities of each type in the predetermined area corrected by the first correction means for the total number of visits to the predetermined area corrected by the first correction process . The number of visits multiplied by the ratio of the number of visits and the number of visits to the predetermined type of facility are corrected by the second correction means for the total number of visits to the various facilities corrected in the second correction process. A fifth calculation process for calculating a corrected frequency of visits to a predetermined facility by an average of the number of visits multiplied by a ratio of the number of visits to each type of facility in the predetermined area ;
A program for running A first calculation means for calculating a ratio of the number of visits to each type of facility to the total number of visits to a facility existing in a predetermined area for each of a plurality of areas;
Second calculating means for calculating the ratio of the number of facilities of each type of facility to the total number of facilities existing in the predetermined region for each of the plurality of regions;
The visits of the each type of facility, the number of visits the each type of facility, by multiplying the ratio of the ratio calculated by the first calculating means for ratio calculated by the second calculating means First correcting means for correcting;
Calculating a ratio of the number of visits to each type of facility in the predetermined region corrected by the first correction unit to the total number of visits to the predetermined region corrected by the first correction unit ; A calculation means;
An information processing system comprising: Third calculating means for calculating the ratio of the number of visits to facilities in each region to the total number of visits to facilities of a predetermined type for each type of facility;
Fourth calculation means for calculating the ratio of the number of facilities in each area to the total number of facilities of the predetermined type of facility for each type of facility;
The visits of the each type of facility, the number of visits the each type of facility, by multiplying the ratio of the ratio calculated by the third calculating means for ratios calculated by the fourth calculation means Second correcting means for correcting;
Calculating a ratio of the number of visits to each type of facility in the predetermined area corrected by the second correction unit to the total number of visits to the various facilities corrected by the second correction unit ; A calculation means;
An information processing system comprising:

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