JP2014048919A - Peripheral information search device, peripheral information search method, and peripheral information search program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a peripheral information search device capable of efficiently preforming peripheral information search at a high speed satisfying user's need.SOLUTION: A peripheral information search device 10 includes: a specific point contribution information storage that stores a piece of specific point contribution information for each specific point; a specific point information storage that stores a piece of specific point information including a piece of positional information, the number of the specific point contribution information associated with the specific point for each specific point and a fame level of the specific point; acquisition means that acquires a piece of positional information of a user terminal; distance calculation means that calculates the distance between the user terminal and each specific point based on the positional information of the user terminal and the positional information of each specific point; score calculation means that calculates a predetermined score based on the distance and the fame level of the specific point for each specific point; extraction means that repeats the extraction of the specific point in the descending order until the sum of the number of the contribution information associated with the specific point satisfies a predetermined condition; and search means that searches the specific point contribution information based on the specific point.

Description

  The present invention relates to a peripheral information search device, a peripheral information search method, and a peripheral information search program that search for information related to a peripheral point based on user position information.

  Conventionally, there has been a web service called a mini blog (also called a micro blog or a tweet blog) that accepts posting information (short text data) from multiple users on the web and allows the posting information to be viewed on the web. Are known. As such a web service, there is a service such as a website shown in Non-Patent Document 1 below.

  In the service shown in Non-Patent Document 1 below, there is a mechanism that allows post information to be associated with position information (latitude / longitude) so that post information can be searched based on position information. With this mechanism, the user can search for posted information posted around the current position of the user and display only the corresponding posted information on the user terminal.

Twitter, Inc. , “Twitter”, [online], Internet <URL: https://twitter.com/>

  However, not all users associate position information with post information. Further, the post information associated with the position information is only information posted at the point indicated by the position information, and does not necessarily include information regarding the point. Therefore, with the above-described mechanism, the user cannot always efficiently obtain information on facilities, landmarks, and the like around the current position.

  Therefore, the present inventors have found a method of associating posted information with point information such as facilities and landmarks based on text information included in the posted information. Thus, in response to the user's search request, first the point information around the user's current position is searched, and further, the posted information is searched based on the acquired point information, so that the points around the user's current position It is possible to realize a search service for presenting post information on the user.

  In such a search service, it is preferable to return search results of the minimum guaranteed number or more so as to satisfy the user's request. Here, as a method of searching for posted information about points around the current position of the user, the initial value of the search range for searching for point information is set narrowly, and then gradually until posting information exceeding the minimum guaranteed number is obtained. A possible method is to expand the search range.

  However, if the initial value of the search range is made too narrow, search results exceeding the minimum guaranteed number cannot be obtained during the initial search, and the number of times the search range is reset (expanded) before a search result exceeding the minimum guaranteed number is obtained. May increase and the response to the user may deteriorate.

  Accordingly, an object of the present invention is to provide a peripheral information search device, a peripheral information search method, and a peripheral information search program that can efficiently and rapidly perform peripheral information search that satisfies a user's request.

  A peripheral information search device according to the present invention is a peripheral information search device that executes a peripheral information search in response to a request from a user terminal, and stores a specific point posting information for each predetermined specific point. Specific to store specific point information including post information storage means, for each specific point, its position information, the number of posted information that is the number of specific point posted information associated with the specific point, and the famousness of the specific point Based on the location information storage means, the acquisition means for acquiring the location information of the user terminal, the location information of the user terminal acquired by the acquisition means and the location information of each specific location stored in the specific location information storage means, A distance calculation unit that calculates the distance between the user terminal and each specific point, and for each specific point, a predetermined score is calculated based on the distance calculated by the distance calculation unit and the famousness of the specific point Extracted by the score calculation means, the extraction means that repeats the extraction of the specific point until the sum of the number of posted information associated with the specific point satisfies a predetermined condition in descending order of the score calculated by the score calculation means, and the extraction means Search means for searching for specific point posting information from the specific point posting information storage means based on the specific point.

  In the peripheral information search method according to the present invention, a specific point posting information storage unit that stores specific point posting information for each predetermined specific point, the positional information for each specific point, and the specific point Specific point information storage means for storing specific point information including the number of posted information that is the number of specific point posted information and the famousness of the specific point, and performs peripheral information search in response to a request from the user terminal A peripheral information search method executed by the peripheral information search device that acquires the location information of the user terminal, the location information of the user terminal acquired by the acquisition step, and stored in the specific point information storage means The distance calculation step for calculating the distance between the user terminal and each specific point based on the position information of each specific point, and the distance calculation step for each specific point The score calculation step for calculating a predetermined score based on the separation and the famousness of the specific point, and the sum of the number of pieces of posted information associated with the specific point in the descending order of the score calculated by the score calculation step An extraction step that repeats extraction of a specific point until it is satisfied, and a search step for searching for specific point post information from the specific point post information storage unit based on the specific point extracted by the extraction step are provided.

  The peripheral information search program according to the present invention is associated with a specific point posting information storage means for storing specific point posting information for each predetermined specific point, position information for each specific point, and the specific point. Specific point information storage means for storing specific point information including the number of posted information that is the number of specific point posted information and the famousness of the specific point, and performs peripheral information search in response to a request from the user terminal A peripheral information search program that is executed by a computer provided in the peripheral information search device that acquires the location information of the user terminal, and the location information of the user terminal that is acquired by executing the acquisition module And a distance calculation mode for calculating the distance between the user terminal and each specific point based on the position information of each specific point stored in the specific point information storage means. And a score calculation module for calculating a predetermined score based on the distance calculated by executing the distance calculation module and the famousness of the specific point for each specific point, and the score calculation module is executed. In the descending order of the calculated score, the extraction module that repeats extraction of the specific point until the sum of the number of posted information associated with the specific point satisfies the predetermined condition, and the specific extracted by executing the extraction module A search module for searching for specific point posting information from the specific point posting information storage means based on the point.

  According to the present invention, the position information, the number of pieces of posted information associated with the specific point, and the famous degree are set in advance for each specific point. Therefore, the distance between the user terminal and each specific point is calculated from the position information of the user terminal, and the score of the specific point considered to be more useful to the user from the viewpoint of both the distance and the famousness is relatively high. Thus, the score of each specific point can be calculated. As a result, the specific points are extracted in descending order of the scores so that the sum of the number of pieces of posted information associated with the specific points satisfies the predetermined condition, and the specific point posting information is searched based on the extracted specific points, thereby allowing the user to It can be expected that the user can be provided with specific point posting information that is useful to the user and whose number satisfies a predetermined condition. As described above, the peripheral information search that satisfies the user's request can be performed quickly and efficiently.

  In the above peripheral information search device, the specific point information includes information on the last set date and time that is the date and time when the number of posted information was last set or updated, and the score calculation means further calculates the score based on the last set date and time. It may be calculated.

  The number of posted information set in the specific point information is the number of searches at the time of setting. Therefore, with the passage of time, the number of pieces of posted information and the number of searches at the time of a user's search request may deviate. That is, the score of a specific point where a high score should not be set originally (for example, a specific point where the number of posted information is set to 100, but the number of searches when the user requests a search is 0) is calculated. There is a risk of calculating a high value. According to the present invention, by calculating the score based on the final setting date and time of the number of posted information, the score of a specific point where the final setting date and time of the number of posted information is old and the reliability of the information on the number of posted information is low Can be calculated as low as possible. Thereby, an appropriate score with higher reliability can be calculated.

  In the above peripheral information search device, the extraction unit may extract a specific point that is equal to or greater than a predetermined minimum number of specific points so as to satisfy a predetermined condition.

  There may be a user who wants to obtain a wide range of information about more specific points than to obtain a lot of information about a few specific points. According to the present invention, since specific point posting information associated with specific points equal to or more than the predetermined minimum number of specific points can be acquired by searching, the satisfaction of a user who wants to obtain information on more specific points is improved. I can expect that.

  In the peripheral information search device, the extraction unit may set the minimum specific number of spots based on the number of specific spots within a predetermined distance from the position of the user terminal.

  According to the present invention, an appropriate minimum number of specific points can be set based on the number of specific points within a predetermined distance from the user terminal.

  In the above peripheral information search device, the score calculation means may calculate the score only for a specific point within a predetermined distance from the position of the user terminal.

  Further, according to the present invention, by calculating the score only for a specific point within a predetermined distance from the user terminal, the amount of calculation related to the score calculation process can be reduced, and the search process can be speeded up.

  According to the present invention, it is possible to efficiently and quickly perform peripheral information search that satisfies a user request.

It is a block diagram which shows the function structure of the periphery information search device which concerns on this embodiment. It is a hardware block diagram of the periphery information search device which concerns on this embodiment. It is a figure which shows the example of specific point information. It is a figure which shows the example of specific point posting information. It is a flowchart which shows the setting operation | movement of the number of contribution information by the peripheral information search device which concerns on this embodiment. It is a figure which shows the example of arrangement | positioning of the user terminal which concerns on this embodiment and the modification 1, and a specific point. It is a figure which shows each value in this embodiment of the specific point shown in FIG. It is a flowchart which shows operation | movement of the search process by the periphery information search device which concerns on this embodiment. It is a block diagram which shows the function structure of the periphery information search program which concerns on this embodiment. It is a figure which shows each value in the modification 1 of the specific point shown in FIG. It is a figure which shows the example of arrangement | positioning of the user terminal which concerns on the modification 2 and the modification 3, and a specific point. It is a flowchart which shows operation | movement of the search process by the periphery information search device which concerns on the modification 2.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. In the description of the drawings, the same or equivalent elements are denoted by the same reference numerals, and redundant description is omitted.

  FIG. 1 is a block diagram illustrating a functional configuration of a peripheral information search apparatus 10 according to the present embodiment. A peripheral information search apparatus 10 according to this embodiment will be described with reference to FIG. 1 includes a posted information collection unit 11, a specific spot information storage unit 12 (specific spot information storage unit), an association unit 13, and a specific spot post information storage unit 14 (specific spot post information storage unit). A posting information number setting unit 15, a score calculation unit 16 (acquisition unit, distance calculation unit, score calculation unit), and a search unit 17 (extraction unit, search unit).

  FIG. 2 is a hardware configuration diagram of the peripheral information search apparatus 10 according to the present embodiment. The hardware configuration of the peripheral information search device 10 will be described with reference to FIG. As shown in FIG. 2, the peripheral information search apparatus 10 includes a CPU 101 that executes an operating system, an application program, and the like, a main storage unit 102 that includes a ROM and a RAM, and an auxiliary storage unit 103 that includes a hard disk memory. A communication control unit 104 that performs data communication, an output unit 105 including a liquid crystal monitor, an operation unit 106 including a keyboard and a mouse as input devices, a USB memory, a CD-ROM, a DVD, and the like And a recording medium reading unit 107 that reads the recording medium 200.

  Each function of the peripheral information search apparatus 10 shown in FIG. 1 is realized by reading and executing a predetermined software program in the main storage unit 102 under the control of the CPU 101. At that time, the CPU 101 controls data reading and writing operations in the main storage unit 102 and the auxiliary storage unit 103 according to the processing procedure of the software program, and controls operations of the operation unit 106, the output unit 105, and the communication control unit 104. . Hereinafter, each functional element shown in FIG. 1 will be described.

  The posted information collection unit 11 is a functional element that collects posted information posted on a tweet information posting site or a blog site on the Internet. In the post information, a post ID for uniquely identifying the post information, text information, and post date information are associated with each other. The posting information collection unit 11 may collect posting information directly by crawling on the Internet, for example, or may collect posting information by receiving provision of posting information from an external service provider or the like. Further, the posting information collection unit 11 may collect the posting information periodically so that the search unit 17 described later can search for the latest posting information as much as possible.

  The specific point information storage unit 12 is a functional element that stores specific point information regarding specific points such as facilities and landmarks. Specific point information stored in the specific point information storage unit 12 includes a point ID for uniquely identifying a specific point, a name (facility name, place name, building name, etc.), position information (latitude / longitude), The number of pieces of specific point posting information (the number of posted information) related to the specific point and the famous degree (index value indicating popularity or prominence) of the specific point are associated with each other. FIG. 3 is a diagram illustrating an example of specific point information stored in the specific point information storage unit 12. The name, position information, and famousness of the specific point information are registered, for example, by introducing a commercially available position information database or inputting data by an operator. The number of posted information is set by a posted information number setting unit 15 described later. The celebrity may be anything as long as it is an index value representing the popularity and prominence of a specific point. For example, it may be a value calculated based on the number of posted information or the number of search hits in the Internet search, or may be a value calculated in consideration of a popularity ranking in a questionnaire survey or Internet voting.

  The association unit 13 is a functional element that associates a specific point (point ID) with the post information collected by the post information collection unit 11. The associating unit 13 determines whether or not the text information included in the posted information includes a character string related to the specific spot, and when the text information related to the specific spot is included in the text information, Associate the point ID of the specific point with the posted information. Here, the determination as to whether or not the text information related to the specific point is included in the text information may be determined based on whether or not the character string corresponding to the name of the specific point is included in the text information, The text information may be determined based on whether or not a character string indicating the same thing as the specific point is included in consideration of notation fluctuation, synonym, alias, and the like. Since the posted information collected by the posted information collection unit 11 and the specific spot information stored in the specific spot information storage unit 12 can be updated as appropriate, the associating unit 13 periodically associates the posted information with the spot ID. Is preferred.

  The specific point posting information storage unit 14 is a functional element that stores post information (specific point posting information) associated with the specific point (point ID) by the associating unit 13. FIG. 4 is a diagram illustrating an example of specific point posting information stored in the specific point posting information storage unit 14. Here, the text information of the specific spot post information with the post ID “1” includes the name “XX park” of the specific spot with the spot ID “0001” stored in the specific spot information storage unit 12. Therefore, the association unit 13 sets “0001” as the spot ID of the specific spot posting information. The same applies to other specific point posting information. From the viewpoints of efficient use of the storage area, response performance of search processing by the search unit 17 described later, freshness of stored specific spot posting information, etc. It may be deleted from the unit 14.

  The posted information number setting unit 15 is a functional element that acquires and sets the number of posted information for each specific point. More specifically, first, the posted information number setting unit 15 uses the search function provided in the search unit 17 to be described later, for each specific spot information stored in the specific spot information storage unit 12, to the specific spot information. The specific spot post information storage unit 14 is searched using the associated spot ID as a search key, and the number of specific spot post information (post information) associated with the specific spot is acquired. Subsequently, the posted information number setting unit 15 sets the acquired number of posted information in the corresponding specific spot information stored in the specific spot information storage unit 12.

  The score calculation unit 16 is based on an acquisition unit that acquires position information of the user terminal 20, a distance calculation unit that calculates a distance between the user terminal 20 and each specific point, and the distance and the famousness of the specific point. And a score calculating means for calculating a score. Hereinafter, the acquisition unit, the distance calculation unit, and the score calculation unit will be described in detail.

  For example, the score calculation unit 16 (acquisition means) acquires the position information of the user terminal 20 by the user terminal 20 making a search request to the peripheral information search device 10 and transmitting the position information of the user terminal 20. Here, the location information of the user terminal 20 is location information (latitude and longitude) acquired by the location information of the user terminal 20 held by the base station, the GPS function on the user terminal 20, or the like. However, the position information of the user terminal 20 may be anything as long as it includes latitude (or longitude). The method by which the score calculation unit 16 acquires the position information is not limited to the above method.

  Subsequently, the score calculation unit 16 (distance calculation unit) obtains the acquired position information (latitude and longitude) of the user terminal 20 and the position information (latitude and longitude) of each specific point stored in the specific point information storage unit 12. Based on the above, the distance between the user terminal 20 and each specific point is calculated.

Subsequently, the score calculation unit 16 (score calculation unit) calculates a score for each specific point stored in the specific point information storage unit 12 based on the calculated distance and the famous degree of the specific point. “Score” is a value representing the usefulness for the user. In the present embodiment, it is assumed that the user wants information on a specific point that is nearer and more famous. That is, it is considered that the specific point near the user terminal has a higher usefulness, and the more famous the specific point is, the higher the usefulness is. A simple score calculation method obtained based on such a concept is a method of calculating a score based on the following equation (1).
S _i : Score of a specific point i D _i : Distance between the specific point i and the user terminal 20 P _i : Famous degree of the specific point i S _i = 1 / D _i × P _i (1)

  The score calculation method according to the above formula (1) is an example, and the score calculation method is not limited to this. In addition, since there are various ways of thinking about the usefulness for the user, the score calculation unit 16 calculates a score using an index other than the distance to the user terminal and the famousness when an idea different from the above is adopted. May be.

  The search unit 17 (extraction means, search means) receives a search request from the user terminal 20 and repeats extraction of specific points until the sum of the number of posted information satisfies a predetermined condition in descending order of the scores; It is a functional element provided with the search means which searches specific point contribution information based on the extracted specific point. Hereinafter, the extraction unit and the search unit will be described in detail.

  The search unit 17 (extraction unit) sequentially extracts specific points in descending order of the scores calculated by the score calculation unit 16 and refers to the specific point information storage unit 12 to acquire the number of pieces of posted information of the extracted specific points. To do. The search unit 17 extracts specific points until the sum of the number of pieces of posted information acquired in this way satisfies a predetermined condition. Here, the “predetermined condition” is a condition such as a lower limit or an upper limit, for example. The predetermined condition may be set in advance in the peripheral information search apparatus 10 or may be customizable for each user. In the present embodiment, the “predetermined condition” is a lower limit condition of “100 or more”.

  The search unit 17 (search unit) searches the specific point posting information storage unit 14 for specific point post information using the extracted point IDs of one or more specific points as a search key.

  Next, an operation when the posted information number setting unit 15 sets the number of posted information stored in the spot information storage unit 12 will be described with reference to FIG. FIG. 5 is a flowchart showing the setting operation of the number of posted information by the peripheral information search apparatus 10 according to the present embodiment.

  First, the posted information number setting unit 15 acquires one specific point to be set from the specific point information storage unit 12 (step S101). Subsequently, the posting information number setting unit 15 searches the specific point posting information storage unit 14 for specific point posting information by using the search function included in the searching unit 17 with the spot ID of the specific point acquired in step S101 as a search key. (Step S102). Subsequently, the posted information number setting unit 15 sets the number of retrievals obtained in step S102 as the number of posted information of the specific point stored in the specific point information storage unit 12 (step S103). The posted information number setting unit 15 sets the number of posted information items at all specific points by executing the above process for all the specific points. Here, since the total number of specific point posting information associated with the specific point is changed when the content of the specific point posting information storage unit 14 is updated, the posted information number setting unit 15 performs the processing for all the specific point information. It is preferable to execute the above processing periodically.

  Next, operations of the score calculation process by the score calculation unit 16 and the search process by the search unit 17 will be described with reference to FIGS. FIG. 6 is a diagram illustrating an arrangement example of user terminals and specific points according to the present embodiment. FIG. 7 is a diagram showing each value in the present embodiment at the specific point shown in FIG. FIG. 8 is a flowchart showing the operation of search processing by the peripheral information search apparatus 10 according to this embodiment.

  In the present embodiment, as shown in FIG. 6, consider a case where specific points A to K exist around the user terminal. FIG. 7 shows point IDs, names, latitudes, longitudes, post information numbers, famousities, distances, and scores relating to these specific points. In FIG. 7, descriptions regarding latitude, longitude, and specific points E to K are omitted. In addition, the scores of the specific points E to K calculated by the score calculation unit 16 are assumed to be lower than any score of the specific points A to D. The spot ID, name, latitude, longitude, number of posted information, and famousness shown in FIG. 7 are specific spot information stored in the specific spot information storage unit 12 in advance. The distance and score shown in FIG. 7 are values calculated by the score calculation unit 16 in the flow shown in FIG.

  In FIG. 8, when the search unit 17 receives a search request from the user terminal 20, the score calculation unit 16 acquires the location information of the user terminal 20 and is stored in the user terminal 20 and the specific point information storage unit 12. The distance to each specific point (specific points A to K) is calculated (step S201, acquisition step, distance calculation step). Subsequently, the score calculation unit 16 calculates the score of each specific point according to the above-described equation (1) (step S202, score calculation step). Through the above processing, the distance and score shown in FIG. 7 are calculated.

  Subsequently, the search unit 17 sorts the specific points in descending order of the scores (Step S203). Thereby, it sorts in order of "the specific point D-> specific point A-> specific point C-> specific point B-> ...". Subsequently, the search unit 17 acquires the number of posted information items of the first specific point D in the sort order from the specific point information storage unit 12 (step S204, step S205, extraction step). Here, since the number of pieces of posted information at the specific point D is “80”, which is less than the predetermined number “100” (step S206: NO), the search unit 17 further selects the second specific point A in the sort order. The number of posted information is acquired (step S207, step S205, extraction step). As a result, the total number of pieces of posted information acquired is “180”, which is equal to or greater than the predetermined number “100” (step S206: YES), and the search unit 17 ends the specific point extraction process (steps S204 to S207). To do.

  Subsequently, the search unit 17 extracts the point IDs of the second specific point D and the specific point A in the sort order from the specific point information storage unit 12, and uses the point ID as a search key as a specific point posting information storage unit. The specific point posting information is searched from 14 (step S208, search step). Subsequently, the search unit 17 presents the acquired specific point posting information to the user terminal 20 (step S209), and ends the search process.

  Next, the effect of the peripheral information search apparatus 10 of this embodiment is demonstrated. In the peripheral information search device 10 of the present embodiment, the position information, the number of posted information associated with the specific point, and the famous degree are stored in advance in the specific point information storage unit 12 for each specific point. Therefore, the score calculation unit 16 calculates the distance between the user terminal 20 and each specific point, and the specific point considered to be useful to the user from the viewpoint of both the distance and the famousity according to the above formula (1). That is, the score of each specific point can be calculated such that the distance from the user terminal 20 is closer and the score of a more famous specific point is relatively high. The search unit 17 extracts specific points in descending order of the scores so that the sum of the number of associated posted information is equal to or greater than a predetermined number, and the specific point post information storage unit 14 uses the extracted point ID of the extracted specific point as a search key. Search for specific point posting information. Thereby, the search part 17 is useful for a user, and can provide a user with a predetermined number or more of specific point posting information.

  Next, some modifications of the present embodiment will be described.

(Modification 1)
In the peripheral information search device 10 according to the first modification, the specific spot information stored in the specific spot information storage unit 12 is the last set date and time when the posted information number is last set or updated by the posted information number setting unit 15. Including information, the score calculation unit 16a calculates a score based on the last set date and time in addition to the distance between the user terminal 20 and the specific point and the famousness of the specific point.

More specifically, the score calculation unit 16a calculates the score of the specific point by the following equation (2).
S _i : Score of the specific point i D _i : Distance P _i between the specific point i and the user terminal 20: Famous degree T _i of the specific point _i : Elapsed days (day difference between the current date and the last set date and time of the specific point i )
S _i = 1 / D _i × P _i × 1 / T _i (2)

  In the first modification, as in the present embodiment, as illustrated in FIG. 6, a case where specific points A to K exist around the user terminal is considered. FIG. 10 shows point IDs, names, latitudes, longitudes, post information numbers, famousities, elapsed days, distances, and scores related to these specific points. Among these, the point ID, name, latitude, longitude, number of pieces of posted information, famousness, and distance are the same as those in FIG. The elapsed days is a day difference calculated from the information of the last set date and time included in the specific point information and the current date and time. The score is a value calculated by the score calculation unit 16a according to the above equation (2) in the flow shown in FIG.

  As shown in FIG. 10, the score ranking is “specific point C → specific point D → specific point B → specific point A”. Therefore, in step S204 to step S207 of the flow shown in FIG. 8, the search unit 17 extracts the specific point C and the specific point D.

  As described above, according to the peripheral information search apparatus 10 according to the first modification, the score calculation unit 16a calculates the score based on the final setting date and time of the number of posted information, so that the final setting date and time of the number of posted information is old. The score of a specific point (specific point A in the above example) where the reliability of the information of the number of posted information is low can be calculated relatively low. Thereby, an appropriate score with higher reliability can be calculated.

(Modification 2)
In the peripheral information search device 10 according to the second modification, the search unit 17a sets the minimum number of specific points based on the number of specific points within a predetermined distance from the position of the user terminal, and is equal to or greater than the minimum number of specific points. Extract a specific point.

  Modification 2 will be described in detail with reference to FIGS. 11 and 12. FIG. 11 is a diagram illustrating an arrangement example of user terminals and specific points according to the second modification. FIG. 12 is a flowchart showing an operation of search processing by the peripheral information search apparatus 10 according to the second modification. Moreover, each value of the specific point which concerns on the example of arrangement | positioning shown in FIG. 11 shall be the same as that of FIG. Hereinafter, the main differences between the flow shown in FIG. 12 and the flow in the present embodiment shown in FIG. 8 will be described.

  In FIG. 12, the search unit 17a calculates the distance between the user terminal 20 and each specific point (step S301), and calculates the score of each specific point according to the above equation (1) (step S202). Subsequently, the search unit 17a calculates the minimum number of specific points (step S303). More specifically, the search unit 17a first determines a region Z within a predetermined distance from the user terminal 20, as shown in FIG. Subsequently, the search unit 17a counts specific points included in the region Z. Here, the counting result is “10”, and the search unit 17a sets “3”, which is 30% of the counting result, as the minimum number of specific points. Here, the values of “predetermined distance” and “30%” are examples, and the present invention is not limited thereto.

  Subsequently, the search unit 17a sorts the specific points in descending order of the scores (Step S304). Thereby, it sorts in order of "the specific point D-> specific point A-> specific point C-> specific point B-> ...". Subsequently, the search unit 17 acquires the number of posted information related to the specific spot D and the specific spot A through steps S306 to S308, and the total number of acquisitions “180” is equal to or greater than the predetermined number “100” (step S307: YES), the determination in step S309 is performed. Here, since the number of extracted specific points is “2”, which is less than the minimum number of specific points “3”, the search unit 17a acquires the third specific point C in the sort order (step S309: NO, Step S308, Step S306). Thereby, since the number of extracted specific points becomes more than the minimum number of specific points, the search unit 17a completes the extraction process (step S309: YES).

  Subsequently, the search unit 17a extracts the extracted spot IDs of the specific point D, the specific point A, and the specific point C from the specific point information storage unit 12, and uses the point ID as a search key as a specific point posting information storage unit. The specific point posting information is searched from 14 (step S310). Subsequently, the search unit 17a presents the acquired specific point posting information to the user terminal 20 (step S311), and ends the search process.

  As described above, according to the peripheral information search device 10 according to the modified example 2, the search unit 17a can determine an appropriate minimum number of specific points based on the number of specific points within the area Z within a predetermined distance from the user terminal 20. (In the above example, 30% of the number of specific points in the region Z) can be set. Subsequently, the search unit 17a improves the satisfaction of a user who wants to obtain information on more specific points by searching for specific point posting information based on the specific points equal to or more than the minimum specific number of points. Can be expected.

(Modification 3)
In the peripheral information search device 10 according to Modification 3, the score calculation unit 16b calculates the score only for a specific point within a predetermined distance from the position of the user terminal 20.

  Modification 3 will be described with reference to FIG. As shown in FIG. 11, the score calculation unit 16 b determines a region Z within a predetermined distance from the user terminal 20, and calculates scores only for specific points (specific points A to C and E to K) included in the region Z. However, the score is not calculated for the specific points D not included in the region Z.

  In this case, the handling of the specific point D for which the score has not been calculated may be arbitrarily determined. For example, the specific point for which the score has not been calculated may be excluded from the search by the search unit 17 or a default score value (for example, “0”) may be set. Further, the regions within “predetermined distance” in the modified examples 2 and 3 have both been described using the region Z shown in FIG. 11, but these regions are the same because they are set independently. There is no need.

  According to the peripheral information search device 10 according to the modification 3, the score calculation unit 16b calculates the score only for specific points (specific points A to C and E to K) within a predetermined distance from the user terminal 20. Thus, the calculation amount in the score calculation process can be reduced, and the search process can be speeded up.

  The embodiment according to the present invention and some modified examples have been described above in detail. However, the present invention is not limited to the above-described embodiments and modifications. The present invention can be variously modified without departing from the gist thereof.

  Finally, a peripheral information search program P10 for causing a computer to function as the peripheral information search apparatus 10 will be described with reference to FIG.

  FIG. 9 is a block diagram showing a functional configuration of the peripheral information search program P10 according to the present embodiment. As shown in FIG. 9, the peripheral information search program P10 includes an acquisition module P16A, a distance calculation module P16B, a score calculation module P16C, an extraction module P17A, and a search module P17B. The functions realized by executing the acquisition module P16A, the distance calculation module P16B, the score calculation module P16C, the extraction module P17A, and the search module P17B correspond to the score calculation unit 16 (acquisition in the peripheral information search apparatus 10 described above. The function is the same as that of the search unit 17 (extraction unit, search unit).

  The peripheral information search program P10 thus configured is stored in the recording medium 200 shown in FIG. 2 and is executed by a computer used as the peripheral information search device 10. When the recording medium 200 is inserted into the recording medium reading unit 107, the computer can access the peripheral information search program P10 stored in the recording medium 200 from the recording medium reading unit 107, and executes the peripheral information search program P10. By doing so, it becomes possible to operate as the peripheral information search apparatus 10 according to the present embodiment.

  The peripheral information search program P10 may be provided via a network as a computer data signal superimposed on a carrier wave. In this case, the computer used as the peripheral information search device 10 can execute the peripheral information search program P10 by storing the peripheral information search program P10 received by the communication control unit 104 in the main storage unit 102.

DESCRIPTION OF SYMBOLS 10 ... Peripheral information search device, 11 ... Posting information collection part, 12 ... Specific spot information storage part, 13 ... Association part, 14 ... Specific spot post information storage part, 15 ... Setting part, 16 ... Score calculation part, 17 ... Search Part, P10 ... peripheral information search program, P16A ... acquisition module, P16B ... distance calculation module, P16C ... score calculation module, P17A ... extraction module, P17B ... search module.

Claims (7)

A peripheral information search device that executes a peripheral information search in response to a request from a user terminal,
Specific point posting information storage means for storing specific point posting information for each predetermined specific point;
Specific point information storage means for storing, for each specific point, specific point information including the position information, the number of pieces of posted information that is the number of the specific point posting information associated with the specific point, and the famous degree of the specific point When,
Obtaining means for obtaining position information of the user terminal;
The distance for calculating the distance between the user terminal and each specific point based on the position information of the user terminal acquired by the acquisition unit and the position information of each specific point stored in the specific point information storage unit A calculation means;
Score calculating means for calculating a predetermined score based on the distance calculated by the distance calculating means and the famousness of the specific point for each specific point;
An extracting unit that repeats extraction of a specific point until the sum of the number of pieces of posted information associated with the specific point satisfies a predetermined condition in descending order of the score calculated by the score calculating unit;
Search means for searching for specific spot posting information from the specific spot posting information storage means based on the specific spot extracted by the extracting means;
A peripheral information retrieval device comprising: The specific point information includes information on the last set date and time that is the date and time when the post information number was last set or updated,
The score calculation means further calculates the score based on the final set date and time,
The peripheral information search device according to claim 1. The extraction means extracts specific points equal to or greater than a predetermined minimum number of specific points so as to satisfy the predetermined condition;
The peripheral information search device according to claim 1 or 2. The extracting means sets the minimum number of specific points based on the number of specific points within a predetermined distance from the position of the user terminal;
The peripheral information search device according to claim 3. The score calculation means calculates the score only for a specific point within a predetermined distance from the position of the user terminal,
The peripheral information search device according to any one of claims 1 to 4. Specific point posting information storage means for storing specific point posting information for each predetermined specific point, the position information for each specific point, and the number of the specific point posting information associated with the specific point. Specific point information storage means for storing specific point information including the number of posted information and the famousness of the specific point, and is executed by a peripheral information search device that executes a peripheral information search in response to a request from the user terminal A peripheral information search method,
An acquisition step of acquiring location information of the user terminal;
The distance for calculating the distance between the user terminal and each specific point based on the position information of the user terminal acquired by the acquisition step and the position information of each specific point stored in the specific point information storage means A calculation step;
A score calculating step for calculating a predetermined score based on the distance calculated by the distance calculating step and the famousness of the specific point for each specific point;
An extraction step that repeats the extraction of the specific point until the sum of the number of posted information associated with the specific point satisfies a predetermined condition in descending order of the score calculated by the score calculating step;
A search step of searching for specific point posting information from the specific point posting information storage means based on the specific point extracted by the extraction step;
A peripheral information search method comprising: Specific point posting information storage means for storing specific point posting information for each predetermined specific point, the position information for each specific point, and the number of the specific point posting information associated with the specific point. Specific location information storage means for storing specific location information including the number of posted information and the famousness of the specific location, provided in a peripheral information search device that executes peripheral information search in response to a request from the user terminal A peripheral information retrieval program executed by a computer,
An acquisition module for acquiring location information of the user terminal;
Based on the position information of the user terminal acquired by executing the acquisition module and the position information of each specific point stored in the specific point information storage unit, between the user terminal and each specific point A distance calculation module for calculating the distance;
A score calculation module that calculates a predetermined score based on the distance calculated by executing the distance calculation module and the famousness of the specific point for each specific point;
An extraction module that repeats extraction of a specific point until the sum of the number of posted information associated with the specific point satisfies a predetermined condition in descending order of the score calculated by executing the score calculation module;
A search module for searching for specific point posting information from the specific point posting information storage means based on the specific point extracted by executing the extraction module;
A peripheral information search program comprising:

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