JP5057875B2 - Service providing facility information providing device - Google Patents

Description

  The present invention relates to a technique for recommending a service providing facility that can receive a predetermined service and reach a destination by a desired time, and in particular, a service providing facility that is recommended in consideration of waiting time at the service providing facility. It is related to the technology that determines.

2. Description of the Related Art Conventionally, a system that informs a user so that the current waiting time there is known in advance before going to a service providing facility such as a restaurant is known (for example, Patent Document 1).
Japanese Patent Laid-Open No. 9-120486

  By the way, a busy business person or the like sometimes wants to have a meal on the way to the outside or wants to have lunch before the afternoon meeting starts. Even at such times, there is a need to eat at a nifty and tasty restaurant, never passing by the promised time, and not just in time.

  Such needs also exist for general facilities that receive services regardless of restaurants.

  Therefore, an object of the present invention is to recommend a service providing facility that can receive a predetermined service and reach the destination by a desired time.

  According to an embodiment of the present invention, a service providing facility information providing apparatus includes a means for obtaining information on a current position, a destination, and an arrival time at the destination from a user terminal device, and a service providing a predetermined service. A service providing facility information storage unit that stores facility location information, a waiting time information storage unit that stores predicted waiting time information for each time zone of the service providing facility, location information of the service providing facility, and the user terminal Navigation means for extracting a candidate service providing facility capable of dropping in and receiving service provision based on the current position acquired from the device, the destination, and information on the arrival time at the destination; and the time zone Means for extracting a recommended service providing facility from the candidate service providing facilities based on the different predicted waiting time information; And means for providing a scan providing facility information to the user terminal device.

  In a preferred embodiment, the navigation means further comprises map data, route search means, and travel time calculation means. The route search means determines a search range using the map data and a linear distance determined based on the current time and the arrival time, and passes through the service providing facility in the search range from the current position. The route to reach the destination may be obtained, and the travel time calculating means may calculate the travel time on the route and extract the candidate service providing facility.

  In a preferred embodiment, based on the means for continuously collecting the location information of the user terminal device, the location information of the user terminal device collected continuously, and the location information of the service providing facility, the user terminal Means for identifying a service providing facility used by a user carrying the device, calculating a predicted waiting time for each time zone from a residence time in the specified service providing facility, and storing the estimated waiting time in the waiting time information storage unit; , May be further provided.

  In a preferred embodiment, the waiting time information by time zone is further classified by weather, and the recommended service providing facility extracting means is based on the current weather information and the predicted waiting time information by time zone, A recommended service providing facility may be extracted from the candidate service providing facilities.

  Hereinafter, as an example of a system for recommending a service providing facility according to an embodiment of the present invention, a restaurant recommendation system will be described as an example with reference to the drawings.

  FIG. 1 is an overall configuration diagram of a restaurant recommendation system according to the present embodiment.

  In this system, the restaurant information providing apparatus 1 that provides recommended restaurant information provides recommended restaurant information to the user terminal device 5.

  The restaurant information providing apparatus 1 is configured by, for example, a general-purpose computer system, and individual components or functions in the restaurant information providing apparatus 1 described below are realized by, for example, executing a computer program.

  The user terminal device 5 is a portable information processing device having a communication function that can be carried by the user, and may be realized by a mobile phone, for example.

  The user terminal device 5 further has a function of specifying its current position. For example, in the present embodiment, the user terminal device 5 includes a GPS processing unit 51 that specifies the current position using GPS (Global Positioning System).

  For example, the user terminal device 5 continuously notifies the restaurant information providing device 1 of the location information indicating its current location specified by the GPS processing unit 51 and its own terminal ID at predetermined intervals.

  The restaurant information providing apparatus 1 includes, as internal functions, a position information collection unit 11, a payment information collection unit 12, a waiting time database creation unit 13, a request processing unit 15, a navigation processing unit 16, and a condition matching processing unit. 17, a position information database 21, a waiting time history database 22, a waiting time prediction database 23, a settlement information database 24, a restaurant database 25, and a user information database 26.

  The location information collection unit 11 continuously collects each location information and terminal ID from the plurality of user terminal devices 5 at a predetermined interval. The position information is information for specifying the position of the user terminal device 5 by latitude and longitude, for example. The location information of each user terminal device 5 collected by the location information collection unit 11 is stored in the location information database 21 together with the respective reception times.

  The location information database 21 stores the location information of the plurality of user terminal devices 5 collected by the location information collection unit 11. For example, FIG. 2 shows an example of the data structure of the position information database 21. That is, the position information database 21 includes, as data items, a terminal ID 211 that is user terminal identification information, a user ID 212 that is user identification information in the present system, a latitude 213, a longitude 214, and the latitude and longitude positions. Time 215 when information is received.

  The restaurant database 25 stores information about restaurants. For example, FIG. 3 shows an example of the data structure of the restaurant database 25. That is, the restaurant database 25 includes a restaurant name 251, a category 252, a type 253, an address 254, a telephone number 255, a latitude 256, and a longitude 257 as data items. Note that the restaurant information in the restaurant database 25 may be collected from, for example, a content providing system.

  The user information database 26 stores information for each user who uses this system. For example, when a user transmits information such as a restaurant used, meal time, and waiting time from his / her user terminal device 5, the information is stored in the user information database 26.

  The payment information collection unit 12 collects payment information from the plurality of user terminal devices 5. The payment information is, for example, information that is settled by using the electronic money function by the user terminal device 5 equipped with the electronic money function. The payment information includes the identification information of the store (restaurant) where the payment was made and the date and time when the payment was made. The collected payment information is stored in the payment information database 24.

  The waiting time database creation unit 13 generates a waiting time history database 22 and a waiting time prediction database 23 based on the position information stored in the position information database 21 and the restaurant information stored in the restaurant database 25. .

  For example, the waiting time database creation unit 13 extracts data in which the latitude 213 and longitude 214 of the location information database 21 substantially match the latitude 256 and longitude 257 of the restaurant information. The data extracted here is considered to be data when the user stays at each restaurant. Therefore, the waiting time database creation unit 13 specifies the entry time for each user based on the extracted data, calculates the staying time of each restaurant, and generates waiting time history data. At this time, in the present embodiment, a predetermined time of the staying time is defined as a time required for a meal (hereinafter referred to as “meal time”), and the remaining time is defined as a “waiting time”.

  Further, the waiting time database creation unit 13 may acquire information such as weather and temperature for each day area from the system 7 that provides external weather information, and may include the information in the waiting time history data. The waiting time history data generated by the waiting time database creation unit 13 is stored in the waiting time history database 22.

  The meal time may be different for each restaurant, or may be different for lunch and dinner. Further, it may be different for each user, or the user may be able to set their own meal time.

  When there are a plurality of restaurants at substantially the same point, the waiting time database creation unit 13 may specify the restaurant where the user stayed, for example, according to the procedure shown in the flowchart of FIG.

  As shown in the figure, first, when data indicating that a plurality of restaurants are present is extracted (S11: Yes), the waiting time database creation unit 13 refers to the payment information database 24. Then, the presence / absence of settlement information of the same user in the same time zone as the extracted data is determined (S12).

  Here, if there is payment information of the same user in the same time zone as the extracted data (S12: Yes), it is specified as a restaurant of the store information included in the payment information (S13).

  When there is no payment information of the same user in the same time zone as the extracted data (S12: No), it is determined whether or not the point is the location of a restaurant that the user frequently visits (S14).

  If the point is the location of the restaurant that the user frequently visits (S14: Yes), the restaurant is identified as the frequently visited restaurant (S15).

  On the other hand, if the point is different from the location of the restaurant that the user frequently visits (S14: No), the user is prompted to input manually (S16).

  In addition, you may determine whether it is a restaurant where a user goes frequently with reference to the user information database 26.

  The waiting time history database 22 stores waiting time history data generated by the waiting time database creation unit 13.

  For example, FIG. 5 shows an example of the data structure of the waiting time history database 22. That is, the waiting time history database 22 includes a restaurant name 221, a user ID 222, a store entry time 223, a waiting time 224, a meal time 225, a weather 226, a temperature 227, and an ordered menu 228. It should be noted that the menu 228 may be stored only when the information about the ordered menu can be acquired by the user's self-report.

  The waiting time database creation unit 13 also generates waiting time prediction data based on the waiting time history data in the waiting time history database 22, for example. The waiting time prediction data includes an average waiting time for each predetermined condition (pattern). The waiting time database creation unit 13 stores the generated waiting time prediction data in the waiting time prediction database 23.

  The waiting time prediction database 23 stores waiting time prediction data generated by the waiting time database creation unit 13. For example, FIG. 6 shows an example of the data structure of the waiting time prediction database 23. That is, the waiting time prediction database 23 includes the restaurant name 231, the pattern 232, the weekday and holiday classification 233, the weather 234, the temperature 235, the time zone 236, the average waiting time 237, and the average meal time 238. Have

  Here, the pattern 232 is determined for each restaurant name 231, weekday and holiday classification 233, weather 234, temperature 235, and time zone 236. The waiting time database creation unit 13 calculates an average waiting time 237 for each pattern 232. The average meal time 238 may be calculated by averaging the meal time 225 in the waiting time history database 22.

  The time zone 236 indicates a time zone when the user arrives at the store.

  The request processing unit 15 receives a request from the user terminal device 5 and replies to this request based on the processing results of the navigation processing unit 16 and the condition matching processing unit 17.

  For example, the request processing unit 15 receives a restaurant search request including the current position, the destination, and the arrival time at the destination from the user terminal device 5. In response to this request, the request processing unit 15 specifies a restaurant that can arrive at the desired arrival time after having eaten, and provides information regarding this as recommended restaurant information.

  The navigation processing unit 16 may be a navigation system having map data, route search means, travel time calculation means, and the like.

  The navigation processing unit 16 searches for restaurant information from the restaurant database 25 in response to an instruction from the request processing unit 15. For example, the navigation processing unit 16 receives a search request for a restaurant that can be visited from the request processing unit 15 on the condition of the current position, the destination, and the arrival time at the destination. At this time, the navigation processing unit 16 does not consider the waiting time at the restaurant. The navigation processing unit 16 refers to the restaurant database 25 and extracts, as candidate restaurants, restaurants that satisfy specified conditions and can stop by and eat.

  The condition matching processing unit 17 extracts a recommended restaurant considering the waiting time at the restaurant from the candidate restaurants extracted by the navigation processing unit 16. The navigation processing unit 16 extracts a restaurant that can be eaten and arrived by the arrival time without considering the waiting time at the restaurant. Therefore, the navigation processing unit 16 and the condition matching processing unit 17 extract recommended restaurants that satisfy the user's desired conditions in consideration of the waiting time.

  Next, the procedure of request processing will be described using the flowchart shown in FIG.

  First, the request processing unit 15 receives a request from the user terminal device 5 (S21).

  At this time, an example of the request input screen 500 in the user terminal device 5 is shown in FIG.

  That is, the input screen 500 includes input areas for a destination 510, an arrival time 520, a category 530, a type 540, and a meal time 550.

  The request from the user terminal device 5 received by the request processing unit 15 includes information input on the input screen 500 as a search condition.

  Returning to FIG. 7, the navigation processing unit 16 extracts candidate restaurants based on the request received by the request processing unit 15 (S22).

  Details of candidate restaurant extraction processing by the navigation processing unit 16 will be described with reference to FIGS.

  FIG. 9 is an explanatory diagram of the first step of candidate restaurant extraction. In the first step, rough candidates are extracted using the linear distance.

  (1) The navigation processing unit 16 receives the designation of the departure time A, the destination B, the arrival time at the destination B, and the meal time from the request processing unit 15.

(2) The navigation processing unit 16 calculates the longest longest travel time that can be secured as travel time from the arrival time at the destination B, the current time, and the meal time based on the map data.
Maximum travel time = arrival time−current time−meal time (3) The navigation processing unit 16 calculates a search distance.
Search distance = longest travel time ÷ travel speed Note that the travel speed differs depending on the transportation means (walking, car, railroad, etc.) used for travel.

  (4) Based on the latitude and longitude of the departure place A and the latitude and longitude of the store, the straight distance between the departure place A and the store is calculated. Similarly, the linear distance between the destination B and the store is calculated based on the latitude and longitude of the destination B and the latitude and longitude of the store. A range in which the total of the linear distances is within the search distance is set as a search range. That is, a restaurant within the search range formed in an oval is a candidate restaurant.

  FIG. 10 is an explanatory diagram of the second step of candidate restaurant extraction. In the second step, for each candidate restaurant extracted in the first step, the route searching means narrows down the candidate restaurants using the travel time according to the following route.

  (1) The navigation processing unit 16 determines a route from the departure place A to the candidate restaurant, and calculates a travel time when traveling along the route. At this time, the navigation processing unit 16 calculates the travel time using the current time as the departure time.

  (2) The navigation processing unit 16 determines a route from the candidate restaurant to the destination B, and calculates a travel time when traveling along the route. At this time, the navigation processing unit 16 calculates the travel time using the current time plus the travel time to the restaurant calculated in (1) and the meal time as the departure time.

  (3) The navigation processing unit 16 adds the travel time to the candidate restaurant calculated in (1), the meal time, and the travel time to the destination calculated in (2) to the current time to obtain the arrival time of the destination. calculate. If the arrival time calculated by the navigation processing unit 16 is before the arrival time desired by the user, the candidate restaurant targeted here is left in the candidate restaurant. On the other hand, if the arrival time calculated by the navigation processing unit 16 is later than the arrival time desired by the user, the candidate restaurant targeted here is excluded from the candidate restaurants.

  As described above, the navigation processing unit 16 limits the restaurant to be processed in the second step of calculating the travel time along the route to a certain range by the first step using the linear distance. . As a result, the target of the second step, which is a relatively time-consuming process, can be narrowed down by the first step, which is a high-speed process.

  Returning to FIG. 7 again, one or more candidate restaurants are extracted in step S22 by the above process. Next, the condition matching process part 17 determines the presence or absence of the restaurant in which real waiting time is registered among candidate restaurants (S23). The actual waiting time is the actual waiting time of the user at each restaurant, and may be included in the information registered by the user in the user information database 26, for example.

  When the actual waiting time is registered (S23: Yes), the condition matching processing unit 17 sets the actual waiting time as the predicted waiting time (S24).

  On the other hand, when the actual waiting time is not registered (S23: No), the condition matching processing unit 17 refers to the waiting time prediction database 23 to predict the waiting time at each restaurant (S25). For example, the condition matching processing unit 17 extracts a record in which the restaurant name 231, the section 233, the weather 234, the temperature 235 and the time zone 236 match from the waiting time prediction database 23, and the average waiting time 237 of the record is predicted. Wait time.

  The navigation processing unit 16 further narrows down candidate restaurants in consideration of the predicted waiting time, and determines recommended restaurants (S26).

  Here, the process of step S26 will be described in detail with reference to FIG. The navigation processing unit 16 calculates the travel time from the current position to the candidate restaurant as in step S21. Further, the navigation processing unit 16 calculates the travel time from the restaurant to the destination using the travel time to the candidate restaurant, the expected waiting time, and the time plus the meal time as the departure time. The navigation processing unit 16 then arrives at the destination when the expected waiting time is included (the time obtained by adding the travel time to the candidate restaurant, the expected waiting time, the meal time, and the travel time to the destination to the current time) ) Is a restaurant recommended before the arrival time desired by the user.

  Furthermore, the condition matching processing unit 17 may refer to the restaurant database 25 and only recommend restaurants that match the “type” and “category” designated by the user as recommended restaurants.

  When there are a plurality of recommended restaurants, the request processing unit 15 determines the order of display on the user terminal device 5 (S27). As for the display order, for example, referring to the user information database 26, a restaurant that has not been recorded in the past may be displayed at the top.

  The request processing unit 15 outputs candidate restaurant information whose display order is determined to the user terminal device 5 (S28).

  As a result, a display screen 600 as shown in FIG. 12 is displayed on the user terminal device 5. Accordingly, it is possible to recommend a restaurant that can arrive at a desired time at a desired time by predicting the waiting time at the restaurant. In particular, the waiting time largely depends on the time zone and the weather, but in this system, the waiting time can be predicted for each time zone and the weather.

  The above-described embodiments of the present invention are examples for explaining the present invention, and are not intended to limit the scope of the present invention only to those embodiments. Those skilled in the art can implement the present invention in various other modes without departing from the gist of the present invention.

  For example, the destination may be the same as the current position. In this embodiment, a restaurant that can be reached by specifying the arrival time at the destination and eating by that arrival time is recommended, but instead of specifying the arrival time, the restaurant that the user wants to go to is recommended. The arrival time at the destination may be calculated and provided to the user when the restaurant information providing apparatus 1 designates and goes to the restaurant to eat.

  In the above-described embodiment, a restaurant has been described as an example of a service providing facility. However, other service providing facilities such as a beauty salon, a barber shop, and a massage may be used.

1 is an overall configuration diagram of a restaurant recommendation system according to an embodiment of the present invention. An example of the data structure of the position information database 21 is shown. An example of the data structure of the restaurant database 25 is shown. It is a flowchart of a restaurant specific process in case a some restaurant exists in the same point. An example of the data structure of the waiting time history database 22 is shown. An example of the data structure of the waiting time prediction database 23 is shown. It is a flowchart which shows the procedure of a request process. An example of the request input screen 500 in the user terminal device 5 is shown. It is explanatory drawing of the 1st step of candidate restaurant extraction. It is explanatory drawing of the 2nd step of candidate restaurant extraction. It is explanatory drawing of the detailed process of step S26. An example of the display screen 600 of the recommended restaurant in the user terminal device 5 is shown.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Restaurant information provision apparatus 5 User terminal device 11 Location information collection part 12 Settlement information collection part 13 Time database creation part 15 Request processing part 16 Navigation processing part 17 Condition matching process part 21 Position information database 22 Time history database 23 Waiting time prediction database 24 payment information database 25 restaurant database 26 user information database

Claims (3)

Means for acquiring information on the current position, destination, and arrival time at the destination from the user terminal device;
A service providing facility information storage unit that stores location information of a service providing facility that provides a predetermined service;
A waiting time information storage unit for storing predicted waiting time information for each time zone of the service providing facility;
A map storage unit storing map data;
Means for continuously collecting location information of the user terminal device;
Means for obtaining payment information from the user terminal device;
Based on the continuously collected location information of the user terminal device and the location information of the service providing facility, the service providing facility used by the user carrying the user terminal device is identified, and the identified service provision is provided. When calculating the estimated waiting time for each time zone from the residence time in the facility, if there are a plurality of service providing facilities at the same point as the position of the user terminal device, the payment information acquired from the user terminal device, If there is settlement information for settlement at any one of a plurality of service providing facilities, the service providing facility is identified as a service providing facility used by a user carrying the user terminal device, and the service A waiting time calculating means for calculating a predicted waiting time for each time zone of the provided facility and storing the waiting time in the waiting time information storage unit;
Focusing on the current position and destination acquired from the user terminal device, the sum of the distance from the current position and the distance from the destination is the search distance determined from the longest time that can be secured as travel time and the moving speed. A route for determining an ellipse as a search range and obtaining a route from the current position to the destination via the service providing facility in the search range based on the location information of the service providing facility and the map data Search means;
Means for extracting a recommended service providing facility from the candidate service providing facilities based on travel time on the route obtained by the route search means and the predicted waiting time information by time zone;
Means for providing recommended service providing facility information to the user terminal device. The waiting time information between the time zones is further classified by weather,
The service providing facility information according to claim 1, wherein the recommended service providing facility extracting unit extracts a recommended service providing facility from the candidate service providing facilities based on current weather information and the predicted waiting time information for each time zone. Providing device. In the service providing facility information providing device, obtaining information on the current position, the destination, and the arrival time at the destination from the user terminal device;
Storing location information of a service providing facility that provides a predetermined service in a service providing facility information storage unit;
Continuously collecting location information of the user terminal device;
Obtaining payment information from the user terminal device;
Based on the continuously collected location information of the user terminal device and the location information of the service providing facility, the service providing facility used by the user carrying the user terminal device is identified, and the identified service provision is provided. When calculating the estimated waiting time for each time zone from the residence time in the facility, if there are a plurality of service providing facilities at the same point as the position of the user terminal device, the payment information acquired from the user terminal device, If there is settlement information for settlement at any one of a plurality of service providing facilities, the service providing facility is identified as a service providing facility used by a user carrying the user terminal device, and the service Calculating a predicted waiting time for each time zone of the provided facility and storing it in a waiting time information storage unit;
Focusing on the current position and destination acquired from the user terminal device, the sum of the distance from the current position and the distance from the destination is the search distance determined from the longest time that can be secured as travel time and the moving speed. Determining an ellipse as a search range, and obtaining a route from the current position to the destination via the service provision facility in the search range based on position information and map data of the service provision facility; and ,
Extracting a recommended service providing facility from the candidate service providing facilities based on travel time on the route and predicted waiting time information for each time zone; and
Providing a recommended service providing facility information to the user terminal device.

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