JP5758943B2 - Information providing apparatus, information providing method, and program - Google Patents

Description

  The present invention relates to a method and an apparatus for providing information on a purpose-stored facility, and a program, and more particularly, a purpose-store facility for providing a user with facility (store) information to be actively visited with interest and purpose from a residence. The present invention relates to an information providing method, apparatus, and program.

  A service for grasping a user's location information using a GPS function of a cellular phone and providing information according to the location is spreading. For users, it is possible to obtain information suitable for their own situation, and for information providers, it can be expected that their services can be provided to effective users.

  In order to perform such a service, the first necessary information is a trade area indicating what kind of people are in each facility (for example, a store). In particular, various applications can be considered by seeking a “target visit commercial area” that is a range of residence of a visitor who is likely to visit the facility with a purpose.

  For example, a user who has selected a certain region can obtain facility information that people frequently visit from the vicinity. In addition to the recommended facilities at the current location and the planned location, you can also learn about other people's trends, such as information about the facilities that people in a certain area visit. .

  In addition, an information provider who operates each facility can use the obtained trade area for marketing. For example, it can be used as a reference for an advertisement distribution / distribution area. If you can know the detailed trade area that is closer to the actual situation, you can expect to be able to narrow down the range of residences of customers and effective targets that you could not understand with conventional methods. It can also be used for forecasting sales. In addition, if the trade areas of each facility in the town are superimposed on the map, a wide trade area such as the town can be grasped. And, for example, in Kyoto, which is famous for tourism, measure the attractiveness of a town that attracts people according to the size of the trade area, so that people come from geographically distant areas, and how it depends on the shape of the trade area. You can also expect to know the characteristics of the town whether you are coming from that area. Such information is expected to be useful information for those who are considering moving, opening new stores, etc., as well as for the administrative side of city reform.

  In this way, various applications can be considered, but as one of them, there is a need for technology that provides facility information that is highly likely to go from the user's place of residence (those who want to visit (store)). .

  As a conventional method of providing facility information, there is a general information providing service such as “taste log” (registered trademark) (see Non-Patent Document 1). When the service is ranked, the service is often ranked using a fixed value such as “evaluation of store, number of views, number of reviews, number of customers, budget”. It is conceivable that the appeal of such a store varies depending on the position of the user. For example, it changes depending on the feeling that it feels a little attractive, but does not want to go because it is far away.

  In addition, the distance between the position specified from the latitude / longitude value of the basic position information and the position specified from the latitude / longitude value of the target object is calculated, and a predetermined distance centered on the latitude / longitude value of the basic position information Among the objects in the list, the objects that fall into the classification specified by the information recipient and whose calculated distance is within the predetermined distance are detected, and the information of the objects is displayed in the order of the closest distance. There is a technology (for example, see Patent Document 1).

Japanese Patent No. 4493148

KaKaKu.com.Inc.http: //tabelog.com/

  However, in the technique of Non-Patent Document 1 described above, since the attractiveness of the store changes depending on the position of the user, even if the store itself is popular, store information that does not bother to go from the residence is provided. There is.

  Also, with the technology of the above-mentioned Patent Document 1, simply displaying in the order from the current location provides information on stores that are not so attractive that are nearby, or store information that is distant but attractive is buried. There is a problem of end.

The present invention has been made in view of the above points, and is an information providing apparatus, an information providing method , and an information providing method capable of providing only store information (target visit store information) that is likely to be bothered by the user. The purpose is to provide a program.

In order to solve the above problems, the present invention (Claim 1) divides a trade area determined based on a distance between a residence of a visitor of a certain facility and the facility and a publicity of the facility into a predetermined size. For each mesh in the map, a trade area storage means for storing the number of visitors whose residence is included in the mesh in association with the facility name of the facility;
Based on the location information of the residence input from the user, the commercial area storage means is searched, the facility name of the facility including the location information in the commercial area, and the number of visitors of each mesh corresponding to the facility name, Search means for obtaining
For each facility name acquired by the search means, total the number of visitors of each mesh acquired for the facility name, facility score calculation means for determining the ranking by sorting in descending order of the total value;
Output means for outputting the ranking and facility name.

Further, the present invention (Claim 2) includes a facility name storage means storing facility names including abbreviations and location information,
User residence storage means for storing user residence information;
Facility name storage means for storing the name of the facility;
When the facility name is input, the facility name storage means is referred to based on the facility name, the facility name or abbreviation is obtained, and the facility is actually identified from the Web document by context determination processing based on the facility name or the abbreviation. A contributor search means for extracting contributors who have visited,
Referring to the user residence storage means based on the extracted poster, a residence allocation means for obtaining the residence of each poster;
Based on the facility name, the facility name is acquired from the facility name recognition means, a distance threshold for the facility name is obtained, a distance between the residence and the facility is obtained, and a residence where the distance is shorter than the threshold only the trade area, said the trade area for each mesh of the tabbed in the map to a predetermined size, the number of contributors to be included in the mesh residence of the contributor who visited the facility as the number of the visitors further comprising a commercial area calculating means for storing the quotient area storing means.

  As described above, according to the present invention, it is possible to provide only facility information that is highly likely to go from the residence by extracting only the facilities that include the residence in the destination store trade area.

  In addition, for example, if the facility is a store, the store visitor is considered to visit the store in consideration of the attractiveness and distance of the store, so the extracted stores should be sorted and provided in descending order of the number of store visitors. Can provide a store ranking that takes into account the distance and attractiveness of the resident's eyes.

1 is a system configuration diagram according to an embodiment of the present invention. It is an example of the facility name database in one embodiment of the present invention. It is an example of the user residence database in one embodiment of the present invention. It is an example of the facility visibility database in one embodiment of the present invention. It is an example of the purpose visit commercial area database in one embodiment of the present invention. It is a flowchart of a process of the purpose store commercial area determination part in one embodiment of this invention. It is a flowchart of the ranking display part in one embodiment of this invention. It is an example of an output in one embodiment of the present invention.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

  Hereinafter, “store” will be described as an example of the facility, but it may be a leisure facility, a restaurant, a hotel, etc. in addition to the store, and is not limited to the store. In the following, “store” is used as an example to describe “store visit” and “customer”, but in the case of other facilities, it means “visitor” and “visitor”.

  In the following description, the “target visitor” is a visitor who has purposely visited the store with a purpose, and the “impulse visitor” is a visitor who has another purpose and then visits the store. In the present invention, the range of residence of the target visitor and the range of residence of the impulse visitor who may develop into the target visit are defined as the “target visit commercial area”.

  First, the system configuration will be described.

  FIG. 1 shows a system configuration according to an embodiment of the present invention.

  The system shown in FIG. 1 includes an information providing device 10, a Web document 20, and a display device 30. The Web document 20 may be acquired directly from the network, or may be acquired from the network and stored in a database. In the present embodiment, description will be made assuming that the data is directly acquired from the network.

  The information providing apparatus 10 includes a destination store trade area determination unit 100, a ranking display unit 200, a facility name database 110, a user residence database 130, a facility name database 150, and a destination store trade area database 170.

  The destination store trade area determination unit 100 is activated in advance before the processing of the ranking display unit 200 and generates the destination store trade area database 170.

  First, pre-processing in the destination store trade area determination unit 100 will be described.

  The facility name database 110 is a database that records information on each facility (for example, a store), and records the facility name, abbreviation, telephone number, address, and the like of each facility as shown in FIG.

The user residence database 130 is a database that records the residences of Twitter (registered trademark) users. In the following, a method using one of the microblogs called Twitter (registered trademark) will be described. However, the method is not limited to this example, and the same method can be provided for other Web documents. . The user's residence is estimated from past posts and profiles, and recorded as shown in FIG. For example, Non-Patent Document 2 (Zhiyuan cheng, James Caverlee, Kyumin Lee, “You are where you tweet: a content-based approach to geo-locating twitter users”, Proceedings of the 19 ^th ACM international conference on Information and knowledge management, pp. 759-768 (2010)) can be used to estimate the residence from past posts.

  The facility name recognition database 150 is a database that stores facility name recognition. The facility visibility database 150 is calculated as shown in Table 1 using, for example, the number of users who tweeted store names in all Twitter (registered trademark), and the number of users murmured as shown in FIG. Correspondence is set for each facility name accordingly. In the example of Table 1, the degree of popularity has ranks from 1 to 5, and the greater the number of murmured users, the higher the degree of familiarity.

検索部１２０は、入力された店舗名に関してWeb文書２０を検索し、実際にその店舗を訪問した投稿者を検索し、取得する。実際にその店舗を訪問したか否かについては、文書を形態素解析し、文脈判定する。具体的には、店舗名が含まれ、かつ、経験を示す語（例えば、「○○に行きました」、「○○に行ってみた」、「○○に行ったとき」「○○なう」等）を含む文章を投稿した投稿者を抽出する。

The search unit 120 searches the Web document 20 for the input store name, and searches for and acquires a poster who has actually visited the store. Whether or not the store is actually visited is analyzed by morphological analysis of the document. Specifically, the store name is included, and words indicating experience (for example, “I went to ○○”, “I went to ○○”, “When I went to ○○”, “○○ The contributor who posted the sentence including “

  The residence allocation unit 140 acquires the poster's residence from the user residence database 130 based on each poster acquired from the search unit 120, calculates the distance between the residence and the store, It passes to the calculation unit 160.

  The destination store trade area calculation unit 160 acquires the name recognition from the facility name database 150 based on the store name, determines the market area based on the distance between the residence and the store and the name recognition, and stores it in the destination store trade area database 170.

  As shown in FIG. 5, the destination store trade area database 170 stores facility names, mesh IDs, and the number of target store visitors. As shown in the figure, each facility name has an entry including a plurality of mesh IDs and the number of target customers who are residents corresponding to the mesh IDs.

  The ranking display unit 200 includes a peripheral facility search unit 210, a facility score calculation unit 220, and a display unit 230, and is activated after the target store commercial area database 170 is generated by the processing of the target store commercial area determination unit 100.

  The operation of the destination store trade area determination unit 100 in the above configuration will be described below.

  FIG. 6 is a flowchart of the process of the destination store trade area determination unit in one embodiment of the present invention.

  Step 110) The search unit 120 receives a store name from the operator.

  Step 120) The search unit 120 determines whether or not the input store name is in the facility name database 110, and if there is, searches the Web document 20 based on the store name.

  Step 130) In the search unit 120, the context of the article obtained from the Web document 20 is determined, the contributor who actually goes to the store is determined, and the contributor of the article is determined. As a method for determining whether or not the user actually went to the store, for example, it may be possible to extract expressions such as “I went to XX” and “XX Now”.

  Step 140) The residence allocation unit 140 extracts only a poster who has a residence in the user residence database 130.

  Step 150) The residence allocation unit 140 acquires the residence of each poster from the user residence database 130 based on the user name of the poster acquired from the Web document 20. As the residence, point data such as an address of the residence may be used, or a living area having a certain size such as a municipality name may be used.

  Step 160) The residence allocation unit 140 calculates the distance from each residence to the store. As a distance calculation method, MapFan (registered trademark) or the like can be used.

  Step 170) The destination store trade area calculation unit 160 obtains the store name from the facility name database 150.

  Step 180) The destination store trade area calculation unit 160 converts the distance obtained in Step 150 into threshold values as shown in Table 2.

ステップ１９０） 目的来店商圏計算部１６０は、居住範囲の絞り込みを行うために、知名度に基づいて、当該目的来店商圏計算部１６０内のメモリに格納されている表２に示す店舗と居住者の距離による知名度のテーブルを参照し、距離を取得する。

Step 190) The destination store trade area calculation unit 160, based on the name recognition, narrows the range of residence, and the distance between the store and the resident shown in Table 2 stored in the memory within the target visit store area calculation unit 160 Get the distance by referring to the table of name recognition.

  Step 200) The destination store trade area calculation unit 160 leaves only residences whose distance is shorter than a predetermined threshold as residence data, divides the range of the residence data into meshes of a predetermined size, and assigns an ID to each mesh. Then, the mesh ID corresponding to the store name and the number of target customers in the mesh are stored in the target store business area database 170.

  Next, processing of the ranking display unit 200 will be described.

  FIG. 7 is a flowchart of the ranking display unit in one embodiment of the present invention.

  Step 610) The peripheral facility search unit 210 of the ranking display unit 200 receives location information of the residence from the user. As the position information, for example, the name of a prefecture city is input.

  Step 620) The peripheral facility search unit 210 refers to the destination store trade area database 170 based on the residence input in Step 610, and acquires a store name including the mesh ID corresponding to the input residence in the destination store trade area. Then, the number of target customers who live in a plurality or one mesh ID (in some cases) corresponding to the residence of the corresponding store is acquired and output to the facility score calculation unit 220.

  Step 630) The facility score calculation unit 220 sums up the number of target customers extracted for each store, sets the total value as a score, sorts the scores in descending order, and stores them in a memory (not shown). In the example of the purpose store commercial area database 170 of FIG. 5, “Yokohama, Hakkeijima, River Paradise” is stored in three records. In this case, the total number of target customers for three records is calculated and sorted.

  Step 640) The display unit 230 displays on the display device 30 as shown in FIG. 8 in the order of the scores sorted by the facility score calculation unit 220. The example of FIG. 8 is a diagram showing the ranking of restaurants when “Yokosuka City, Kanagawa Prefecture ○○” is input as the residence.

  By performing the above processing, store information that is not intended to go even if it is close is not provided, and popular store information can be acquired even if it is far away.

  The components of the information providing apparatus in FIG. 1 described above can be constructed as a program, installed in a computer used as the information providing apparatus, executed, or distributed via a network.

  The present invention is not limited to the above-described embodiments, and various modifications and applications are possible within the scope of the claims.

DESCRIPTION OF SYMBOLS 10 Information provision apparatus 20 Web document 30 Display apparatus 100 Target visit commercial area determination part 110 Facility name database 120 Search part 130 User residence database 140 Residential place allocation part 150 Facility visibility database 160 Target visit commercial area calculation part 170 Target visit commercial area database 200 Ranking Display unit 210 Peripheral facility search unit 220 Facility search score search unit 230 Display unit

Claims (5)

Visitors whose residence is included in the mesh for each mesh in the map that divides the trade area determined on the basis of the distance between the residence of the visitor of the facility and the facility, and the name of the facility, into a predetermined size Trade area storage means for storing the number of persons in association with the facility name of the facility,
Based on the location information of the residence input from the user, the commercial area storage means is searched, the facility name of the facility including the location information in the commercial area, and the number of visitors of each mesh corresponding to the facility name, Search means for obtaining
For each facility name acquired by the search means, total the number of visitors of each mesh acquired for the facility name, facility score calculation means for determining the ranking by sorting in descending order of the total value;
Output means for outputting the ranking and facility name of the ranking;
An information providing apparatus comprising: Facility name storage means storing facility name and location information including abbreviations,
User residence storage means for storing user residence information;
Facility name storage means for storing the name of the facility;
When the facility name is input, the facility name storage means is referred to based on the facility name, the facility name or abbreviation is obtained, and the facility is actually identified from the Web document by context determination processing based on the facility name or the abbreviation. A contributor search means for extracting contributors who have visited,
Referring to the user residence storage means based on the extracted poster, a residence allocation means for obtaining the residence of each poster;
Based on the facility name, the facility name is acquired from the facility name recognition means, a distance threshold for the facility name is obtained, a distance between the residence and the facility is obtained, and a residence where the distance is shorter than the threshold For each mesh in the map in which the trade area is divided into a predetermined size, the number of contributors whose residence is included in the mesh among the contributors who visited the facility is the number of visitors. A trade area calculation means for storing in the trade area storage means;
The information providing apparatus according to claim 1, further comprising: Visitors whose residence is included in the mesh for each mesh in the map that divides the trade area determined on the basis of the distance between the residence of the visitor of the facility and the facility, and the name of the facility, into a predetermined size Trade area storage means for storing the number of persons in association with the facility name of the facility,
In an apparatus having search means, facility score calculation means, and output means,
The search means searches the trade area storage means based on the location information of the residence input from the user, the facility name of the facility that includes the location information in the trade area, and each mesh corresponding to the facility name A search step to get the number of visitors and
For each facility name acquired by the search means, total the number of visitors of each mesh acquired for the facility name, a facility score calculation step that determines the ranking by sorting in descending order of the total value;
The output means outputs the ranking and facility name of the ranking;
An information providing method characterized by: Facility name storage means storing facility name and location information including abbreviations,
User residence storage means for storing user residence information;
Facility name storage means for storing the name of each facility,
In an apparatus further comprising a contributor search means, a residence allocation means, and a trade area calculation means,
When the facility name is input, the poster search unit refers to the facility name storage unit based on the facility name, acquires the facility name or abbreviation, and obtains a context from the Web document based on the facility name or the abbreviation. A contributor search step for extracting contributors who actually visited the facility by the judgment process;
The residence allocation step for obtaining the residence of each poster by referring to the user residence storage unit based on the extracted poster,
The trade area calculation means obtains the name of the facility from the facility name storage means based on the facility name, obtains a distance threshold for the name of the facility, obtains a distance between the residence and the facility, and the distance is For each mesh in the map that has only a residential area shorter than the threshold as a commercial area, and the commercial area is divided into a predetermined size, the number of contributors whose residential area is included in the mesh among the contributors who visited the facility A trade area calculation step of storing the number of visitors in the trade area storage means;
4. The information providing method according to claim 3, further comprising: Computer
A program for providing information at a place of residence for functioning as each unit of the information providing apparatus according to claim 1.

Images