JP2015176338A - Movement route shop search system, and search method and search program thereof - Google Patents

Abstract

PROBLEM TO BE SOLVED: To finely provide shop information on a commutation route in conformity with behavior patterns or purchase products on the commutation route.SOLUTION: A search system comprises a behavior pattern analysis unit that is configured to: acquire shop information and carrying product information from a shop side to store them in a shop information database; preliminarily acquire information on a movement route for each user; and analyze a behavior pattern of a user from the information on the movement route. The search system further comprises: an access information search unit that reads the shop information database to search for access information on a shop in the vicinity of the movement route having the behavior pattern analyzed; a by-product information retrieval unit that retrieves a product on the basis of a product search condition input by the user relative to the shop on the movement route retrieved by the access information; and a retrieval result ordering unit that determines a display order of the retrieval result according to a priority condition. Further, a matching unit is configured to check if the retrieval result matches to needs of the user to adjust the display order.

Description

  The present invention relates to a store / product information search system, search method, and search program, and more particularly to a store / product information search system, search method, and search program for commuting and school routes.

  2. Description of the Related Art Conventionally, systems that provide information on stores on daily travel routes such as a user's commuting route and school route and support shopping are known (for example, Patent Documents 1 and 2).

JP 2002-117221 A JP 2003-271865 A

  In the shopping support method described in Patent Document 1, a client who wants to shop specifies a product (requestee) who asks for shopping and a product he / she wants to buy from the client computer to the shopping support server. Make a shopping request. The support server obtains information such as the inventory status and price of the product related to the request from the database, creates an e-mail containing the information and the contents of the shopping request received from the requester, Send to the phone's email address. At this time, the normal travel route of the requestee is acquired from the customer database, and a group of stores near the route is searched.

  In addition, the store information providing method described in Patent Document 2 described above can be used when purchasing a plurality of necessary items such as a menu for cooking, when a store or region where the total amount of the plurality of items is low is designated. Calculate the stores near and present a list of stores. If there is a stock in stock, present a list of stores with a low sum of shortage after subtracting the amount of stock, and further, the total amount close to the route in the middle of commuting to school Presents a list of cheap stores, and offers services that allow customers to shop at stores with a low total price for multiple products required for cooking menus.

  The shopping support methods as described in Patent Documents 1 and 2 above provide information on a store on a travel route (hereinafter simply referred to as a commute route) such as commuting and attending school, and improve convenience of shopping for the user. It does not take into account the actual action range or action time zone of the user. Even if it is shopping on the commute route at once, the situation varies from person to person, and some people who use multiple routes due to changes in the time of work, return time, shopping contents, congestion of transportation for going and returning, etc. Many. For example, when you go to work, walk to the first station on foot for health reasons, or when you get home late, get off at the terminal station where buses and taxis are good, not at your nearest station. Or if your shopping bag is bulky, you can shop as close to your home as possible. Also, on holidays, many people enjoy shopping, leisure, and learning at stores and facilities near stations on the commuting route by making the most of commuting. Therefore, the shopping on the commuting route always changes depending on the user's behavior pattern (behavior range, behavior time zone) on the commuting route, the purpose of shopping, the product itself, and the like.

  Therefore, in the present invention, in view of the problems as described above, more appropriate store information is obtained in accordance with the user's commuting route, commuting route, and other behavior patterns on the regular moving route and the products / services to be purchased. The purpose is to provide a method for searching and finely supporting shopping on a commuting route.

  In order to solve the above-described problems, the travel route store search system, the travel route store search method, and the travel route store search program of the present invention provide the following solution.

  A first aspect of the present invention is a travel route store search system for searching for stores near a commute route, a commute route, and other stationary user travel routes. A route information acquisition unit to acquire, a behavior pattern analysis unit to analyze the user's behavior pattern from the information of the travel route and store it in a user information database, a store search condition acquisition unit to acquire store search conditions, and a product search A product search condition acquisition unit that acquires conditions, a priority condition acquisition unit that acquires priority conditions for the display order of search results, and stores store information and product information handled in the store from the store, and stores them in the store information database A store information acquisition unit that reads the store information database based on the behavior pattern and the store search condition, and stores in the vicinity of the travel route An access information search unit for searching the access information, a product-specific information search unit for searching for the product information of the searched store based on the product search condition, and the search result according to the priority condition. A search result ranking unit for determining a display order.

  In the above invention, it further includes a matching check unit that checks whether the search result matches the user's needs based on the behavior pattern and the user information database, and the search result ranking unit includes the search result ranking unit, A display order of the search results may be adjusted based on a notification from the matching check unit.

  In the above invention, when the size / weight of the searched product exceeds a predetermined range, the matching check unit notifies the search result ranking unit, and the display order of the store is determined by the user. You may comprise so that the said display order may be adjusted according to the movement time of a home and the said store.

  In the above invention, the matching check unit is configured to allow the business hours specified by the user when the business hours of the searched stores are out of the business hours of the stores specified by the store search conditions. You may comprise so that the said store may be included in a search result if it is within time.

  In the above invention, the priority condition is at least one of the price of the product, the ease of access of the store, the access time zone, the inventory status of the product, the evaluation value of the store, and the number of reviews for the store. You may comprise so that it may be included.

  In the above invention, the evaluation value of the store may include the evaluation value of the user.

  A second aspect of the present invention is a travel route store search method for searching a store near a commute route, a commute route, and other regular user travel routes. A step of acquiring information for each user, a step of analyzing the user's behavior pattern from the information of the travel route, storing the pattern in a user information database, a step of acquiring store search conditions, and acquiring a product search condition A step of acquiring a priority condition of a display order of search results, a step of acquiring store information and product information handled in the store from the store, and storing the product information in a store information database; the behavior pattern and the store search Based on the conditions, the store information database is read, and the access information of stores in the vicinity of the travel route is searched. And searching for the product information of the searched store based on the product search condition, and determining a display order of the search result according to the priority condition. And

  A third aspect of the present invention is a travel route store search program for searching for stores near a commute route, a commute route, and other stationary user travel routes, wherein the information on the travel route is stored in a computer. Acquiring for each user, analyzing the user's behavior pattern from the information of the travel route, storing the pattern in a user information database, acquiring a store search condition, acquiring a product search condition, Based on the step of obtaining the priority condition of the display order of the search results, the step of obtaining the store information and the product information handled in the store from the store and storing it in the store information database, the behavior pattern and the store search condition The store information database is read, and access information for stores near the travel route is searched. And a step of searching the product information of the searched store based on the product search condition, and a step of determining a display order of the search result according to the priority condition. Features.

  According to the present invention, it is possible to search for more appropriate store information in accordance with a user's commuting route, commuting route, an action pattern on a regular moving route, and a product / service to be purchased. A method for providing detailed support can be provided.

It is a figure which shows the basic concept of the movement route store search system which concerns on embodiment of this invention. It is a figure which shows the function structure of the movement route store search system which concerns on embodiment of this invention. It is a figure which shows the specific example of the data stored in the user information database 30 which concerns on embodiment of this invention. It is a figure which shows the specific example of the action analysis table 40 which concerns on embodiment of this invention. It is a figure which shows the specific example of the data stored in the shop information database 50 which concerns on embodiment of this invention. It is a figure which shows the whole flow of the search process of the search server 100 which concerns on embodiment of this invention. It is a figure which shows the specific example of the commuting route condition setting screen which concerns on embodiment of this invention, and a shop and goods priority condition setting screen. It is a figure which shows the specific example of the shop and goods search screen which concerns on embodiment of this invention. It is a figure which shows the specific example of the search result text display screen which concerns on embodiment of this invention. It is a figure which shows the specific example of the search result graphical display screen which concerns on embodiment of this invention. It is a figure which shows the specific example (the 2) of the search result graphical display screen which concerns on embodiment of this invention.

  DESCRIPTION OF EMBODIMENTS Hereinafter, embodiments for carrying out the present invention (hereinafter referred to as embodiments) will be described in detail with reference to the accompanying drawings. In the subsequent drawings, the same numbers or symbols are assigned to the same elements throughout the description of the embodiments. In FIG. 2 showing the functional configuration, the arrows between the functional blocks represent the data flow direction or the process flow direction. In the following, “commuting” includes commuting, attending school, going to the hospital, visiting customers, and other regular movements.

(Basic concept)
FIG. 1 is a diagram showing a basic concept of a travel route store search system (hereinafter referred to as the present system) according to an embodiment of the present invention. Here, for the sake of easy understanding, an explanation will be given with an example shown in the figure. It is assumed that the user of this system gets from the nearest station A every morning from home, changes at station C, gets off at station E, and commutes to work on foot. From your home to station A, you usually travel on foot, but sometimes you get off at station B, where the express stops, or when you get late at night or when you have a lot of luggage, you should go home from station B using a bus or taxi. Suppose there is also. In addition, the route from the nearest station to the place of work usually uses E station, which is a short distance on foot, but sometimes a restaurant is open until late at night, which is convenient for shopping. May be used.

  In the case of such a user, the normal commuting route is home-A station-C station-E station-workplace, but other than that, home-B station-C station-E station, home-B station- Several combinations such as C station-D station are considered as alternative routes. Further, when the route is different between going and returning, or when there are many visits to customers who are good like sales representatives, the commuting route is further increased. Furthermore, if the commuting schedule is often used even on holidays, the holiday travel route is also considered to be a commuting route in a broad sense, so that the opportunities for shopping on these “commuting routes” are further increased.

  When searching for a store to shop on the commuting route, the ease of access along with the price is important, but the most convenient store on the route or the store with the lowest price is not necessarily optimal for the user. Even if the price is low, it is meaningless unless it is a shop that is open during the time of commuting, and depending on the size and weight of the product, it is not just a price. For example, if you buy something like a ballpoint pen, it's the same regardless of where you buy it, so the cheapest shop is good, but bulky things like toilet paper, heavy things like rice and plastic bottles Even if it is cheaper to buy at a store near your work place or near a transfer station, you want to buy it at a store near your home. However, there may be exceptions if the price is extremely low.

  In other words, the most suitable store for users who shop on the commuting route is “price”, “ease of access to the store”, “available time zone”, “size / weight of the product to be purchased -It is obtained in consideration of parameters such as “quantity” and “presence / absence of inventory”. This system not only searches for stores in the vicinity on the commuting route, but also obtains priorities by functionalizing such parameters for each user and presents them to the users as search results in descending order of priority. Is possible. For this reason, as will be described later, this system includes a matching check function for checking whether the search result matches the user's needs based on the user's behavior pattern and the user's registration information. The search result display order reflects the result of this matching check. In addition, the search result displays not only the price of the product and the location of the store, but also access information from the nearest station suitable for the user to shop during the commuting hours, store opening hours, time sale information, etc. .

(Functional configuration)
FIG. 2 is a diagram showing a functional configuration of the system according to the embodiment of the present invention. FIG. 3 is a diagram illustrating a specific example of data stored in the user information database 30. FIG. 4 is a diagram illustrating a specific example of the behavior analysis table 40. FIG. 5 is a diagram illustrating a specific example of data stored in the store information database 50. Hereinafter, the functional configuration of the present system will be described in detail with reference to these drawings.

  As shown in FIG. 2, the system includes a user terminal 200 that is a searcher's user terminal, and a store-side terminal 300 that is a store-side terminal or server that provides store information and handling product information. Connected to each other via a network. The user terminal 200 may be a general PC, but is preferably a portable terminal such as a mobile phone, a smartphone, or a tablet terminal, and is provided with position information acquisition means such as GPS. The user terminal 200 may have an electronic commuter pass function. The store side terminal 300 may be a desktop type or a portable type. The user terminal 200 and the store side terminal 300 are connected to the search server 100 via the Internet.

  The search server 100 is a computer system that is the core of the present system, and typical function units include a route information acquisition unit 10, a behavior pattern analysis unit 11, a movement information recording unit 11A, a store search condition acquisition unit 12, and a product search. Condition acquisition unit 13, priority condition acquisition unit 14, store information acquisition unit 15, access information search unit 16, product information search unit 17, business hours acquisition unit 18, product weight / bulk acquisition unit 19, matching check unit 20, A search result ranking unit 21 and a search result display unit 22 are included. The search server 100 includes a user information database 30 and a store information database 50 as internal or external databases.

  The store information database 50 may be configured by dividing it into a store information database 51 along railway lines and stations and a product information database 52 according to stores. Although not particularly shown in FIG. 2, it is desirable to be connected to a timetable database of other transportation facilities such as a map database around the station or around the station and a bus connectable from each station. Hereinafter, the function of each functional unit will be described in order. First, the part which acquires and analyzes information by communicating with the user terminal 200 of the search server 100 will be described.

  The route information acquisition unit 10 acquires commuting route information input by the user and stores it for each user. The commuting route information includes a user's commuting route on weekdays and a regular traveling route on holidays. On weekdays and holidays, a plurality of commuting routes, commuting routes, and other regular travel routes can be registered for each of the outbound route and the return route. However, hereinafter, the commuting route, the commuting route, and other stationary user movement routes are simply referred to as “commuting routes”.

  FIG. 3 shows a specific example of data stored in the user information database 30. As shown in the figure, the user information database 30 includes commuting route information 31, a store search condition 32, a product search condition 33, and a priority condition 34 in addition to the user's personal information. The commuting route information 31 includes an average time of leaving the home and an average time of leaving the office, in addition to the nearest station of the home, the nearest station of the destination, and the transfer station. The store search condition 32, the product search condition 33, and the priority condition 34 will be described later.

  Returning to FIG. 2, the behavior pattern analysis unit 11 analyzes the behavior pattern on the commuting route for each user based on the commuting route information 31 acquired by the route information acquisition unit 10, and generates a behavior analysis table 40. A specific example of the behavior analysis table 40 is shown in FIG. In the example of FIG. 4, on weekdays, each point information and time are stored in the table as an action pattern on the commuting route for two outbound and return routes. As shown in the drawing, the behavior analysis table 40 stores information on each point on the commuting route and the time passing the point. Similarly, with respect to holidays, the point information and the time of each set of outbound and inbound routes are stored in the table as action patterns on the commuting route.

  At this time, for each point on the route and its passing time, data registered in advance by the user may be used. However, for more accuracy, the movement history in which the movement information recording unit 11A records the movement of the user terminal 200 is used. Information may be used in a complementary manner. That is, when the user terminal 200 is provided with a means for acquiring position information, the movement information recording unit 11A performs the user's behavior from the movement history of the position information of the user terminal 200 to the actual location from home or work to the station. The actual data of the route, the passing point of the station, and the passing time may be extracted and aggregated and stored in the behavior analysis table 40. When the user terminal 200 has an electronic commuter pass function, when the user terminal 200 passes the automatic ticket gate at the station, the passing point and the passing time are recorded and stored in the behavior analysis table 40. May be. The behavior analysis table 40 is stored in the user information database 30.

  The store search condition acquisition unit 12 acquires information on store conditions to be searched on the commuting route. For example, it is registered in the store search condition 32 of the user information database 30 such as “within walking distance from the station” within the station name, weekdays, and holidays on the commuting route.

  The product search condition acquisition unit 13 acquires information on the product name to be searched for each genre of the product to be searched. For example, if the genre of the product is “daily necessities”, it is registered as “shampoo”, “rinse” or the like. A specific product of a specific manufacturer may be specified. The product search condition 33 in FIG. 3 corresponds to this.

  The priority condition acquisition unit 14 acquires priority condition information for determining a display order when displaying the searched results. For example, “For workdays, priority is given to work hours and return time zones”, “For holidays, priority is given to return time zones”, and the like. The priority condition 34 in FIG. 3 corresponds to this.

  Next, a part of the search server 100 that communicates with the store-side terminal 300 to acquire and analyze information will be described.

  The store information acquisition unit 15 acquires each store information and information on products handled in the store from the store side terminal 300 and stores them in the store information database 50. FIG. 5 shows a specific example of data stored in the store information database 50. In the store information database 50, for each store code, store name, nearest station, station access information (time required on foot from the nearest exit), address / position information (latitude / longitude), store type, sales Includes time, regular holidays, links to the product database, etc. Furthermore, you may make it include the image or icon of a store, the route map from a station, etc. As for the data of the store information database 50, it is desirable to extract stores for each station along the line and store them in the store information database 51 for each line / station. Moreover, it is desirable to store the product information handled at the stores included in the store information database 50 in the store-specific product information database 52.

  Returning to FIG. 2, finally, the search server 100 performs a search based on the acquired information and displays a search result. Note that information registered in advance by the user is displayed by default on the screen on which the user starts the search, but it goes without saying that the contents can be changed as appropriate.

  The access information search unit 16 reads out and searches a store that matches the route information condition registered by the user or the access condition input by the user from the search screen from the store information database 51 along the station / station, and searches for the store nearest to the store. Get the time required to walk from the exit to the store. In the case of a large station, the walking time from the platform where the user gets on and off to the exit closest to the store may be added to the required time created on the store side.

  The product-specific information search unit 17 obtains as much real-time product information (price, product name) as possible that matches the product search condition 33 registered by the user or the product search condition entered by the user from the search screen, from the store that matches the above search conditions. , Product images, inventory status, product information, etc.) are retrieved from the store-specific product information database 52 and any matches are obtained. The product search condition input by the user from the search screen has priority over the product search condition 33 registered in the database.

  The business hours obtaining unit 18 reads and obtains the business hours of the stores searched by the access information search unit 16 from the store information database 51 by station / station. At this time, the store also acquires regular holidays, temporary closures, temporary business hours extension, etc. If the store has time-limited sales information such as time sales, the information is also acquired. The acquired business hours information and time sales information are checked by a matching check unit 20 described later.

  The product weight / bulk acquisition unit 19 acquires the weight (weight) and bulk (size) of the product from the search result of the product. When a product is sold as a set, its total weight or total bulk is high. The acquired product weight / bulk is checked by the matching check unit 20.

  The matching check unit 20 plays a role of determining whether the searched store or product matches the user's needs. User needs are analyzed based on behavior patterns stored in the behavior analysis table 40 and data stored in the user information database 30. For example, it is checked whether or not the business hours acquired by the business time zone acquisition unit 18 match the time zone conditions of the route information stored in the behavior analysis table 40. If there are any special holidays or extended or shortened business hours, check the information. Further, if the time sales time of the store is within the allowable time range specified separately by the user, the store or the product is displayed in the search result even outside the commuting time zone. In this way, for example, the time when the user normally passes the nearest station of the store when returning home is 18:00 to 19:00, and the time sales time zone of one day of the store is 17:00 to 18:00. For example, if it is within the allowable time, it is possible to make the time-sales time in advance by, for example, shortening the return time.

  Further, the matching check unit 20 checks whether the weight / size of the product acquired by the product weight / bulk acquisition unit 19 is within a predetermined range. If it exceeds a predetermined range designated by the user (for example, the weight is 5 kg or more, or the total of the four sides is about 80 cm), the fact is notified to the search result ranking unit 21.

  The search result ranking unit 21 ranks the searched stores according to the priority conditions registered by the user. Further, the ranking of search results is adjusted based on a notification from the matching check unit. As illustrated in the priority condition 34 of FIG. 3, the items as the priority condition 34 include “price”, “ease of access”, “access time zone”, “weight / size of product”, “Inventory status”, “store evaluation value”, “many reviews”, and the like. It is also possible to add “selling evaluation value”, etc., instead of “many items” of the search target products, evaluation value of others for the store. By adding the user's own evaluation value, it is easier to preferentially display stores that match the user's own convenience.

  Here, “ease of access” is generally the travel time on foot from the most convenient exit of the nearest station to the store, but from the home used by the user to the exit The estimated travel time may be added. Moreover, you may consider whether the movement from a station can go without getting wet with rain. The “access time zone” is a time zone during which the user can shop at the store on the commuting route. For example, whether or not shopping is possible in the store during the time of going to work or when returning to work (whether or not to give weight) is designated by priority. “Product weight / size” means whether the weight or size of the product to be searched does not exceed the specified range specified by the user separately, and specify the priority for the result. To do. Of course, the user can freely change which item is given higher priority. In addition, a predetermined weighting factor is defined in the priority condition 34 of each rank. For example, the weighting factor is 10 for the condition of the first priority and the weighting factor of 8 for the condition of the second priority. Similarly, 3rd place: weighting factor = 6, 4th place: weighting coefficient = 4th, 5th place: weighting coefficient = 3rd, 6th place: weighting coefficient = 2nd, 7th place: weighting factor = 1, etc. The rank (display rank) is calculated.

  In addition, if there is a notification that the weight / size of the product to be purchased by the matching check unit 20 exceeds a predetermined range, the search result ranking unit 21 responds to the size / weight. , You can reduce or increase the priority of each store. For example, if the product exceeds a predetermined weight or size designated by the user, the priority can be increased as the store is closer to the house, instead of being excluded from the search results. At this time, the priority of the store may be changed depending on whether walking from the station to the house or a bus can be used.

  The search result display unit 22 transmits the stores ranked by the search result ranking unit 21 together with the searched product information to the user terminal 200 and displays them as search results. As will be described later, the search result at this time allows the user to switch between the conventional text display and the graphical display.

  The above-described functional configuration of the present system is merely an example, and one functional block (database and function processing unit) may be divided, or a plurality of functional blocks may be configured as one functional block. Each function processing unit reads a computer program stored in a storage device such as a ROM (Read Only Memory), flash memory, SSD (Solid State Drive), or hard disk by a CPU (Central Processing Unit) built in the device This is realized by a computer program executed by the CPU. That is, in each function processing unit, this computer program reads and writes necessary data such as a table from a database (DB; Data Base) stored in a storage device or a storage area on a memory, and may be related in some cases. This is realized by controlling hardware (for example, an input / output device, a display device, and a communication interface device). In addition, the database in the embodiment of the present invention may be a commercial database, but it simply means a collection of tables and files, and the internal structure of the database itself does not matter.

  FIG. 6 is a diagram showing an overall flow of search processing of the search server 100 according to the embodiment of the present invention. In this processing flowchart (flowchart), the processing order of each step may be changed as long as the relationship between the input and output of each step is not impaired.

  In the search process, first, in step S10, search conditions are acquired. As the search condition, the commuting route information 31, the shop search condition 32, and the product search condition 33 acquired from the user information database 30 or the behavior analysis table 40 are acquired as default values in addition to the search date and time, but the user inputs from the search screen. The value takes precedence.

  Next, in step S11, first, stores in a predetermined range on the route are extracted according to the commuting route information 31. This extraction work may be performed in advance periodically for each commute route. Then, in step S12, for the store extracted on the route, the product is searched according to the product search condition 33 of the user information database 30 or the product search condition specified directly on the search screen.

  Next, when the search does not hit in step S13, it is asked whether or not the search condition is to be changed. When the search condition is to be changed (step S21: Y), the process returns to step S10. If the search condition is not changed (step S21: N), the search process is terminated.

  If the search is hit, the process proceeds to step S14, and the matching check unit 20 checks the degree of suitability of the search result to the user needs. The determination result of the fitness is notified to the search result ranking unit 21 and processed in step S16.

  Next, in step S15, the priority condition is acquired from the user information database 30 or the search screen. Acquisition of priority conditions may be performed in advance. The acquired priority conditions rank (rank) the searched search results for each combination of store and product in step S16. When a plurality of products are hit in one store, they may be ranked for each store. The priority order (display order) is determined using a predetermined weighting coefficient as described above. At this time, the priority order can be adjusted using the matching degree determined by the matching check unit 20. For example, from the priority conditions specified by the user, even if the store with the lowest price is ranked first, if the weight / size of the product exceeds a predetermined range, The display order may be changed by separately obtaining an evaluation value of “sa” or “ease of transportation to home” and reflecting the evaluation value in the ranking.

  The search results ranked in step S16 allow the user to select whether to perform graphical display or text display in step S17. In step S18, a graphical search result is displayed. In step S19, the search result is displayed as text. The search result display screen is specifically shown in the following figure.

  Finally, in step S20, the user is allowed to select whether or not to switch the display. When the display is not switched, the search process is terminated. In addition, although illustration is abbreviate | omitted, after step S18 or S19, or after step S20 is N, you may make it select whether a priority condition is changed. When changing the priority condition, the process returns to step S15, and the display order of the search results changes depending on the priority condition after the change.

  FIG. 7 is a diagram showing specific examples of a commuting route condition setting screen and a store / product priority condition setting screen according to the embodiment of the present invention. The upper screen in FIG. 7 is a commute route information setting screen 510, and the lower screen in FIG. 7 is a priority condition setting screen 520.

  On the commuting route information setting screen 510, as shown in the figure, a home address, an average home departure time and a return time, a work address, an average work time and a leave time are input. From the commuting route and the timetable of the transportation facility, the office time and the return time may be automatically calculated.

  In the commuting route on the commuting route information setting screen 510, the home nearest station, the transfer station, and the work nearest station are input separately for the normal route and the alternative route. A plurality of transfer stations and alternative routes may be input. When the commuting route is different between the outbound route and the returning route, it is desirable to press the “only outbound route tag” 512 and the “only inbound route tag” 513 to input the respective commuting routes. Although not shown in particular, when there is a place (such as a hobby school or a school for obtaining qualifications) where the commuting period is used regularly, a holiday similar to the commuting route information setting screen 510 is provided. For example, an address of a place where the person regularly goes, a moving time, and a moving route may be input.

  As described above, the priority condition setting screen 520 is a screen for setting priority conditions for determining the display order of search results. As shown in the figure, priority conditions from 1st to 7th are specified here, but sub-conditions may be specified depending on the selected priority conditions. For example, when “price” is given as a priority condition, it is limited to “daily necessities” and “food”. Conversely, the price may be given priority only when searching for expensive items.

  “Easy to access” is set so that, by default, the store near the departure station or arrival station has the highest priority, and then the transfer station is higher, but on weekdays and holidays You may make it change the priority of a station. Even if the station does not stop when commuting to / from school (for example, a station where an express train does not stop), the priority of ease of access may be increased on weekends or when returning home relatively early. Also, the current weather information may be acquired, and the priority of accessibility to the store may be adjusted according to the necessity / unnecessity of rain gear when it rains. In addition, the “access time zone” is set so as to give priority to the return time zone by default, but depending on the product or service, it may be set to give priority to the office time zone. As for the “size / weight of product”, a predetermined weight or size of the product to be checked by the matching check unit 20 may be specified here as a sub condition. In addition, items represented by numerical values such as “store evaluation value” and “number of word-of-mouth” may be set so as to multiply the numerical value and the priority coefficient. When the registration button 521 at the bottom of the screen is pressed, the input data is saved in the user information database 30, and when the “to search screen” button 522 is pressed, the screen moves to the store / product search screen 530 in the next figure.

  FIG. 8 is a diagram showing a specific example of the store / product search screen 530 according to the embodiment of the present invention. The screen shown in the figure is displayed when actually searching for a store or a product, but the search conditions here can also be registered. For products and services that are purchased on a daily basis, if search conditions are registered, the search can be automatically executed when going to work or leaving the office. You may set the timing which performs a search automatically so that it may be performed according to the positional information on a commuting route. For example, when you leave home or work, arrive at the nearest station, pass through each station on the route, or perform an automatic search at a predetermined time interval, at that time You can search for the latest information. In addition, since information on the vicinity of the station that has already passed may be unnecessary, the display order can be lowered or deleted from the search result.

  On the store / product search screen 530, first, weekdays and holidays are selected by the upper tag. The search is executed at the current time, but the date and time can also be specified (not shown). The search condition “access” 531 specifies the access time from the station of the store to be searched. The default is less than 5 minutes on foot from the station. Next, “business hours” 532 is designated. The default is an average commuting time range ± about one hour (shopping time). Further, “allowable time” 533 designates an allowable time from a time zone in which the average shopping is possible as described above. For example, even if the time zone such as time sales is not within the shopping time zone, it can be included in the search target if it is within the allowable time.

  The product or service to be actually searched is selected from the product genre columns 534a to 534d and the product name columns 535a to 535e. If the product genre column 534a or the like is checked, all products of the genre can be selected. It is also possible to delete or add a specific product from the product genre. It is also possible to newly define and register the product genre and product name itself. When a search is executed under the input conditions, a search start button 541 at the bottom of the screen is pressed. When registering the input search condition, a search condition registration button 542 is pressed.

  FIG. 9 is a diagram showing a specific example of the search result text display screen 610 according to the embodiment of the present invention. The screen shown is a display screen for search results in a normal text format. Search results are displayed in the order determined by the search result ranking unit 21. As described above, the display order of the search results may be re-sorted according to the position information on the commuting route. For example, the information may be displayed in order from the nearest station that will arrive in the future, or information on stations that have already passed may be deleted. When the search condition change button 611 is pressed on the search result screen 610, the display returns to the store / product search screen 530 of FIG. When the priority condition change button 612 is pressed, the process returns to the priority condition setting screen 520 in FIG. When the graphical display button 613 is pressed, the display is switched to the search result graphical display screen 620 of FIG.

  10 and 11 are diagrams showing specific examples of the search result graphical display screen 620 according to the embodiment of the present invention. The screen shown is an example in which search results are graphically displayed. As shown in the figure, on this screen, the commuting route is displayed on the route map, and the information of the searched store is displayed on the route map together with the store image or icon. A store with a higher priority may be highlighted with a larger character or a different color. Further, a predetermined number of stations and stores displayed on the screen may be displayed in descending order of priority according to the size of the route map. In addition, information on stations that have already passed may be sequentially deleted (fade out) or grayed out according to the current position information (see FIG. 11).

  Further, not only the search results of products and services but also the time required for walking routes and the bus and taxi fare from the nearest station to the home after purchasing the products at the store may be displayed. This is convenient when purchasing heavy products or bulky products. In addition, when the screen of the user terminal 200 is small and the characters in the graphical display are small, only the product name, price, and store priority are displayed as icons. You may make it display when you tap.

  In the search result graphical display screen 620, as in the case of FIG. 9, when the search condition change button 621 is pressed, the display returns to the store / product search screen 530 of FIG. When the priority condition change button 622 is pressed, the process returns to the priority condition setting screen 520 in FIG. When the text display button 623 is pressed, the display is switched to the search result text display screen 610 of FIG.

(Effect of embodiment)
According to the above-described embodiment of the present invention, information on more appropriate stores, products, and services is searched according to the behavior pattern of the user's commute route and the product to be purchased, and the commute route (regular on holidays) (Including simple travel routes). Search results and needs for each user and time zone (ease of access to the store, changes in the time zone for shopping on weekdays and holidays, timed products such as time sales, weight and size of products) And purchase location), search condition display order conditions can be set in detail, and search result display methods can be displayed graphically and intuitively. It is possible to provide a search method more suited to the needs of the user.

  1 to 11, the embodiment of the present invention has been described with the commuting route and the commuting route as the user's moving route, but other stationary moving routes (for example, a route to the hospital, a route around the customer, The present invention can also be applied to pick-up routes for children and care recipients, entertainment routes, and the like. Of course, commuting means of transportation are not limited to railways, but may include buses and other public transportation. In the above embodiment, the present invention is regarded as a product invention, and a travel route store search system has been described. However, the present invention can also be regarded as a method invention (travel route store search method), It can also be understood as a program invention (travel route store search program).

  As mentioned above, although this invention was demonstrated using embodiment, it cannot be overemphasized that the technical scope of this invention is not limited to the range as described in the said embodiment. It will be apparent to those skilled in the art that various modifications or improvements can be added to the above-described embodiments. Further, it is apparent from the scope of the claims that the embodiments added with such changes or improvements can be included in the technical scope of the present invention.

DESCRIPTION OF SYMBOLS 10 Route information acquisition part 11 Behavior pattern analysis part 11A Movement information recording part 12 Store search condition acquisition part 13 Merchandise search condition acquisition part 14 Priority condition acquisition part 15 Store information acquisition part 16 Access information search part 17 Information search part according to goods 18 Sales Time zone acquisition unit 19 Product weight / bulk acquisition unit 20 Matching check unit 21 Search result ranking unit 22 Search result display unit 30 User information database 40 Behavior analysis table 50 Store information database 51 Store information database along railway lines / stations 52 Product by store Information database 100 Search server 200 User terminal 300 Store side terminal 510, 520, 530 Search condition setting screen 610, 620 Search result display screen

Claims (8)

A travel route store search system for searching for stores near a commute route, a school route, and other regular user travel routes,
A route information acquisition unit for acquiring information of the movement route for each user;
Analyzing the user's behavior pattern from the information of the travel route, and storing the behavior pattern analysis unit in a user information database;
A store search condition acquisition unit for acquiring store search conditions;
A product search condition acquisition unit for acquiring product search conditions;
A priority condition acquisition unit for acquiring priority conditions for the display order of search results;
From the store, store information and product information handled in the store is acquired, a store information acquisition unit for storing in the store information database,
Based on the behavior pattern and the store search conditions, the store information database is read, and an access information search unit that searches for access information of stores in the vicinity of the travel route;
Based on the product search condition, a product-specific information search unit that searches the product information of the searched stores,
A search result ranking unit that determines a display order of the search results according to the priority condition;
A travel route store search system comprising:   It further includes a matching check unit that checks whether the search result matches the user's needs based on the behavior pattern and the user information database, and the search result ranking unit receives the search result from the matching check unit. The travel route store search system according to claim 1, wherein the display order of the search results is adjusted based on the notification.   When the size and weight of the searched product exceed a predetermined range, the matching check unit notifies the search result ranking unit, and the display order of the store is determined based on the user's home and the store. The travel route store search system according to claim 2, wherein the display order is adjusted according to the travel time.   When the business hours of the searched store are outside the range of business hours of the store specified by the store search condition, the matching check unit is within the allowable time specified by the user. The travel route store search system according to claim 2 or 3, wherein the store is included in a search result.   The priority condition includes at least one of a price of a product, ease of access to a store, an access time zone, a stock status of a product, an evaluation value of a store, and a large number of reviews for the store. The travel route store search system according to any one of claims 1 to 4.   The travel route store search system according to any one of claims 1 to 5, wherein the evaluation value of the store includes an evaluation value of the user. A travel route store search method for searching for stores near a commute route, a school route, and other regular user travel routes,
Obtaining information of the travel route for each user;
Analyzing the behavior pattern of the user from the information of the travel route and storing it in a user information database;
Obtaining store search criteria;
Obtaining product search criteria;
Obtaining priority conditions for the display order of search results;
Acquiring store information and product information handled in the store from the store, and storing the product information in a store information database;
Based on the behavior pattern and the store search conditions, reading the store information database, searching for access information of stores in the vicinity of the travel route;
Searching the product information of the searched stores based on the product search conditions;
Determining the display order of the search results according to the priority condition;
A method for searching for a travel route store, comprising: A travel route store search program for searching for stores near a commute route, a school route, and other regular user travel routes,
On the computer,
From the user's terminal
Obtaining information of the travel route for each user;
Analyzing the behavior pattern of the user from the information of the travel route and storing it in a user information database;
Obtaining store search criteria;
Obtaining product search criteria;
Obtaining priority conditions for the display order of search results;
Acquiring store information and product information handled in the store from the store, and storing the product information in a store information database;
Based on the behavior pattern and the store search conditions, reading the store information database, searching for access information of stores in the vicinity of the travel route;
Searching the product information of the searched stores based on the product search conditions;
Determining the display order of the search results according to the priority condition;
A travel route store search program characterized in that

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