KR101079029B1 - Recommendation method and apparatus of relational interest increase area - Google Patents

Recommendation method and apparatus of relational interest increase area Download PDF

Info

Publication number
KR101079029B1
KR101079029B1 KR1020090009653A KR20090009653A KR101079029B1 KR 101079029 B1 KR101079029 B1 KR 101079029B1 KR 1020090009653 A KR1020090009653 A KR 1020090009653A KR 20090009653 A KR20090009653 A KR 20090009653A KR 101079029 B1 KR101079029 B1 KR 101079029B1
Authority
KR
South Korea
Prior art keywords
interest
grid
area
unit
increase
Prior art date
Application number
KR1020090009653A
Other languages
Korean (ko)
Other versions
KR20100090403A (en
Inventor
이재민
Original Assignee
팅크웨어(주)
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 팅크웨어(주) filed Critical 팅크웨어(주)
Priority to KR1020090009653A priority Critical patent/KR101079029B1/en
Priority to PCT/KR2010/000647 priority patent/WO2010090433A2/en
Publication of KR20100090403A publication Critical patent/KR20100090403A/en
Application granted granted Critical
Publication of KR101079029B1 publication Critical patent/KR101079029B1/en

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Tourism & Hospitality (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • General Business, Economics & Management (AREA)
  • Databases & Information Systems (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Marketing (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • General Health & Medical Sciences (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Automation & Control Theory (AREA)
  • General Engineering & Computer Science (AREA)
  • Apparatus For Radiation Diagnosis (AREA)
  • Measuring And Recording Apparatus For Diagnosis (AREA)

Abstract

A method and apparatus for recommending a relative increased area of interest is disclosed. The apparatus for recommending a relative interest increase region may include: a monitoring unit configured to divide a region to be searched into a grid having a predetermined size and to monitor an amount of searches for points of interest in the grid; An interest increasing grid calculator configured to calculate a grid of increasing interest by analyzing an amount of the points of interest searched; A center point calculator configured to calculate a center point that becomes a center of the grid in which the interest is increased; And an interest increasing area calculator configured to calculate an interested area including at least one point of interest based on the center point.

Relative, increased interest, grid, monitoring, navigation.

Description

RECOMMENDATION METHOD AND APPARATUS OF RELATIONAL INTEREST INCREASE AREA}

The present invention is directed to a method and apparatus for recommending a relative increased area of interest.

Increasingly, various events and events for various hobbies and advertising effects are held for a limited time.

However, the conventional map service in the form of an application can provide only the information about the point that the user has searched, and thus cannot provide information on the area of interest to the user or the place information corresponding to the event and event information at the latest. There was.

Therefore, by collecting information on points of interest that other users have searched, and calculating the information on places that have been frequently searched recently, it is possible to provide information on places where other users may gather with interest recently. There is a need for a method and apparatus for recommending areas of increased relative interest.

The present invention provides a method and apparatus for recommending a relative interest increase region that can calculate and recommend a region of interest that has recently increased in interest in the short term by comparing a ratio of the search quantity searched for a predetermined time with a recent search quantity. .

The present invention recommends a method for a relatively increased area of interest that allows scanning of a point of interest at the boundary of the zone by overlapping portions of the zone when scanning to a zone to identify the point of interest. And an apparatus.

According to an embodiment of the present invention, a recommendation apparatus for a region of interest increase includes: a monitoring unit configured to divide a region to be searched into a grid having a predetermined size and to monitor an amount of searches for points of interest in the grid; An interest increasing grid calculator configured to calculate a grid of increasing interest by analyzing an amount of the points of interest searched; A center point calculator configured to calculate a center point that becomes a center of the grid in which the interest is increased; And an interest increasing area calculator configured to calculate an interested area including at least one point of interest based on the center point.

According to an exemplary embodiment of the present invention, there is provided a method of recommending a relative interest increase region by dividing a region to be searched into a grid having a predetermined size and monitoring an amount of interest points searched in the grid; Calculating a grid of increasing interest by analyzing the amount of searched points of interest; Calculating a center point that becomes a center of the grid of increasing interest; And calculating an increase of interest region including at least one point of interest based on the center point.

According to the present invention, by comparing a ratio of a search amount searched for a predetermined time and a search amount searched recently, a region of interest having recently increased interest may be calculated and recommended.

According to the present invention, when scanning to a predetermined area to identify a point of interest, a portion of the predetermined area overlaps each other, thereby scanning a point of interest at the boundary of the predetermined area.

Hereinafter, various embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.

1 is an example illustrating an overview of a recommendation apparatus 100 for a relative increased area of interest according to an embodiment of the present invention.

As shown in FIG. 1, the recommendation apparatus 100 for a relative increased interest area according to an exemplary embodiment of the present invention divides the search target area into a grid having a predetermined size, and the point of interest in the grid. If the amount of search is monitored, the interest increase grid calculator 102 analyzes the amount of search for the points of interest to calculate a grid of increasing interest, and the center point calculator 103 calculates a grid of increasing interest. The center point of which the center is to be calculated is calculated, and the interest increase area calculator 104 calculates the interest increase area including at least one interest point based on the center point. At this time, the increased interest area service unit 105 may calculate the rank of the increased interest area in response to the absolute amount or the increased amount of the interest points included in the increased interest area, and may provide the interest increased area and the ranking to the user. In addition, the increased area of interest may be displayed on a map.

When the monitoring unit 101 monitors the area 201 to be searched at once by dividing the area 201 to be searched into grids 202 and 203 having a predetermined size as shown in FIG. This can prevent resource consumption.

In addition, the monitoring unit 101 may be divided into a smaller size grid 202 to increase the resource consumption, but it is possible to monitor the finer area, and by dividing into a larger size grid 203, detailed area monitoring is difficult but resource consumption May be reduced. That is, the monitoring unit 101 may change the sizes of the grids 202 and 203 to divide the area 201 to be searched according to the amount of resources allocated to the monitoring unit 101.

The interest increase grid calculator 102 may calculate a grid of increasing interest by relatively analyzing an amount of interest points searched in the grid monitored by the monitoring unit 101.

For example, if there is a grid that includes a mart that always monitors a certain amount of search volume, and a grid includes an event venue where a large amount of navigation is temporarily monitored, the amount of navigation of the grid that includes the event venue for a certain period of time is due to a specific event. Even if it increases, the total search amount may be less than the search amount of the grid including the mart.

In order to overcome this, the interest increasing grid calculator 102 is an amount of searching points of interest for each grid in the daily average search amount calculating section 301 which is a section from the first specific time to the present time, as shown in FIG. 3. The average search amount is calculated and the points of interest for each grid are searched in the latest daily average search amount calculation section 302 which is a section from the second specific time which is a time closer to the current time point than the first specific time. The recent average search amount can be calculated to calculate a relative interest increase ratio. In this case, the daily average search amount calculation section 301 may include the recent daily average search amount calculation section 302.

The relative interest increase ratio is a value obtained by dividing the recent average search amount by the average search amount, and may be calculated as a grid in which interest increases when the relative interest increase ratio is higher than a threshold value.

For example, as shown in FIG. 4, when the daily average search amount and the latest daily average search amount of 16 grids 1 to 16 are given (410), the maximum values of the daily average search amount and the recent daily average search amount are both 9. Burn grid 412 and grid 411 have no special value. However, when the relative interest increase ratio is calculated using the daily average search amount and the recent daily average search amount (420), the relative interest increase ratio of grid 421 appears to be the highest, and conversely, the daily average search amount and the recent daily average search amount are calculated. Grid 422, which had the maximum value of the average search amount, may have a medium value. In the present invention, since the area having a relatively large interest is to be detected, the total amount of search amount may be calculated as a grid in which the interest of grid number 421 having a high relative interest increase ratio is increased. In this case, if the threshold value is 3.00, only the grid 7 421 may be calculated, and if the threshold value is 2.50, the grid 15 may be calculated up to 15.

The center point calculator 103 may calculate, as a center point, the x coordinate and the y coordinate which are the average values of the x coordinate and the y coordinate of the point of interest included in the grid of which the interest increase grid calculator 102 increases. Can be.

In addition, the center point calculator 103 divides the grid of increasing interest into a unit grid smaller than the grid, scans each unit grid, and calculates at least one unit interest grid including a predetermined amount or more of the points of interest. The x and y coordinates, which are average values of the x and y coordinates of the points of interest included in the unit of interest grid, may be calculated as a center point.

In this case, as shown in FIG. 5, the center point calculator 103 divides the grid 201 including the point of interest 510 into the horizontal 501 and the vertical 502, thereby increasing the interest. Nine unit grids 601, 602, 603, 604, 605, 606, 607, 608, 609, as shown in FIG. 6, may be generated inside the 201.

The unit grids G1 601, G2 602, G3 603, G4 604, G5 605, G6 606, G7 607, G8 608, and G9 609 have some areas. The unit of interest may be generated so as to overlap each other so that the point of interest at the boundary of the unit grid is inside the other unit grid, and when the center point should be formed at the boundary of the unit grid, the other unit includes the boundary inside. You can have a center point created in the grid. That is, by dividing the grid 201 of increasing interest into the horizontal 501 and the vertical 502 to generate the unit grids G1 601, G3 603, G7 607, G9 609, and unit grids. G2 602 for searching the area at the boundary of G1 601, G3 603, G4 604 for searching the area at the boundary of the unit grid G1 601, G7 607, Unit grid G3 603, G6 606 for searching the area at the boundary of the G9 609, unit grid G7 607, and G8 608 for searching the area at the boundary of the G9 609 ), And the center of the grid 201 where the horizontal 501 and the vertical 502 intersect, the center of the unit grid G1 (601), G3 (603), G7 (607), G9 (609) G5 605 may be created to search for the area of the point where the boundary meets.

For example, the partial region 611 is an area where the right side of the unit grid G1 601 overlaps with the left side of the unit grid G2 602, and is a right boundary of the partial region 611 and a center point on the right boundary of the unit grid G1 601. In the case of being calculated, the center point may be calculated inside the unit grid G2 602 which is the right boundary of the partial region 611 and includes the right boundary of the unit grid G1 601. In addition, some areas 612 where the lower side of the unit grid G1 601 and the upper side of the unit grid G4 604 overlap may also calculate the center point from the lower side of the unit grid G1 601 or the upper side of the unit grid G4 604. Some areas 613 in which the lower right side of the unit grid G1 601 overlaps with the upper left side of the unit grid G5 605 may be the unit grid G5 when the center point is calculated at the lower right corner of the unit grid G1 601. The center point may be calculated at 605, and the center point may be calculated at the unit grid G1 601 when the center point is calculated at the upper left corner of the unit grid G5 605.

In this case, as shown in FIG. 7, the center point calculator 103 may calculate a unit grid satisfying Equation 1 below as unit interest grids 701 and 702 including center points including a predetermined amount or more. .

Figure 112009007450009-pat00001

As shown in FIG. 8, the center point calculator 103 uses the center point 801 as an x coordinate and a y coordinate that are average values of the x and y coordinates of the points of interest 510 included in the unit of interest grid 702. Can be calculated as In this case, FIG. 8 is an example of calculating a center point of the unit interest grid 702 of the G9 609 among the unit interest grids of FIG. 7, and the unit interest grid 701 may also calculate the center point in the same manner.

The increased interest area calculator 104 may first generate a temporary increased interest area based on the center point 801 calculated by the center point calculator 103 to include at least one point of interest 510.

Next, the interest increase area calculator 104 may determine whether the temporary interest increase area satisfies Equation 2 described below.

At this time, if the temporary interest increase region satisfies Equation 2 described below, the interest increase region calculator 104 may increase the size of the temporary interest increase region so that the temporary interest increase region further includes at least one interest point. have.

In addition, when the temporary interest increase region does not satisfy the following Equation 2, the interest increase region calculator 104 may calculate the temporary interest increase region having the largest size while satisfying the above Equation 2 as the interest increase region. .

Figure 112009007450009-pat00002

For example, the interest increase area calculator 104 generates the first temporary interest increase area 901 based on the center point 801 calculated by the center point calculator 103 and increases the temporary interest area as illustrated in FIG. 9. While the area satisfies Equation 2, the second temporary interest increase area 902 and the third temporary interest increase area are sequentially increased by increasing the radius of the temporary interest increase area so that at least one point of interest 510 is sequentially included. If the fourth temporary interest increase region 904 does not satisfy Equation 2, the third temporary interest increase region 903 which satisfies Equation 2 and is the largest temporary interest increase region 9090 is generated. ) Can be calculated as the area of increased interest.

That is, the interest increase region calculator 104 may calculate the interest increase regions 1001 and 1002 using the unit interest grids 701 and 702 calculated in FIG. 7 as shown in FIG. 10.

In addition, the increased interest area service unit 105 may display the increased interest areas 1101 and 1102 on the map 201. At this time, the increased interest area service unit 105 calculates a rank of the increased interest area according to the absolute amount or the increased amount of the interest points included in the increased interest area, and maps 201 corresponding to the rank of the increased interest area. The sizes of the increased areas of interest 1101 and 1102 displayed on the screen may be differentiated. For example, in FIG. 11, the size of the interest increase region 1101 having the higher rank of the interest increase region may be larger than that of the interest increase region 1102 having the low rank of the interest increase region.

12 is a flowchart illustrating a recommendation method for a region of increased interest according to an embodiment of the present invention.

When the monitoring unit 101 divides the searched area into a grid having a predetermined size and monitors the amount of searched points of interest in the grid (S1201), the interest increase grid calculator 102 determines the amount of searched points of interest. Based on the relative interest increase ratio is calculated (S1202), the grids whose relative interest increase ratio is higher than a specific threshold value are calculated as grids of increased interest (S1203).

In this case, the interest increase grid calculator 102 may calculate a relative interest increase ratio by dividing the recent average search amount of the grid by the average search amount. In this case, the average search amount is the amount of interest points searched from the first specific time to the current time point, and the recent average search amount is the interest from the second specific time which is a time closer to the current time point than the first specific time. The points may be the amount searched for.

Next, the center point calculator 103 divides the grid of increasing interest into a unit grid smaller than the grid, scans each unit grid, and calculates at least one unit interest grid including a predetermined amount or more of the points of interest. In operation S1204, the x and y coordinates, which are average values of the x and y coordinates of the points of interest included in the unit of interest grid, may be calculated as the center point (S1205).

In this case, the center point calculator 103 divides the grid of increasing interest into a unit grid generated so that some regions overlap with other unit grids so that the boundary region of the unit grid is scanned into an inner region of another unit grid. The center point may be scanned so that the point of interest at the boundary of the unit grid is inside another unit grid, and when a center point is to be formed at the boundary of the unit grid, a center point is generated at another unit grid including the boundary therein. You can do that. In addition, the center point calculation unit 103 may determine the area of the point of interest included in the unit grid, rather than the area of the point of interest included in the unit grid, rather than the area of the grid of increased interest divided by the amount of points of interest included in the grid of increased interest. A unit grid having a large value divided by the amount can be calculated as the unit interest grid.

Thereafter, the interest increase area calculator 104 generates a temporary interest increase area based on the center point, increases the size of the temporary interest increase area, and interests the temporary interest increase area that satisfies Equation 2 below. It can calculate as an increase area (S1206).

In this case, the interest increase area calculator 104 generates a temporary interest increase area to include at least one point of interest based on the center point, and the temporary increase area of interest further includes at least one point of interest. The size of the increased area of interest may be increased, and the temporary increase area of greatest interest may be calculated as the increased area of interest while satisfying Equation 2 above.

Finally, the interest increase area service unit 105 calculates a rank of the interest increase area in correspondence with an absolute amount or an increase amount of the interest points included in the interest increase area calculated by the interest increase area calculator 104, and calculates the rank of the interest increase area. The increase area and the ranking may be provided to the user (S1207). At this time, the increased interest area service unit 105 may display the increased area of interest on the map and recommend it to the user, and the size of the increased interest area is displayed differently according to the ranking so that the user has recently increased the interest of other users. This can make it easier to identify the ranking of the region.

As described above, the recommendation apparatus and method for the relative increased interest area according to an embodiment of the present invention compares the searched amount searched for a predetermined time with the ratio of the recently searched searched amount. It may be calculated and recommended, and when scanning to a certain area to check the point of interest, a portion of the predetermined area may overlap each other, thereby scanning the point of interest at the boundary of the predetermined area.

 Embodiments according to the present invention can be implemented in the form of program instructions that can be executed by various computer means can be recorded on a computer readable medium. The computer readable medium may include program instructions, file data, data structures, etc. alone or in combination. Program instructions recorded on the media may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

As described above, the present invention has been described by specific embodiments such as specific components and the like. For those skilled in the art to which the present invention pertains, various modifications and variations are possible.

Therefore, the spirit of the present invention should not be construed as being limited to the described embodiments, and all of the equivalents or equivalents of the claims, as well as the following claims, are included in the scope of the present invention.

1 is an example illustrating an overview of a recommendation device for a relative increased area of interest according to an embodiment of the present invention.

FIG. 2 is a diagram illustrating a state in which an area to be searched is divided into a grid having a predetermined size and monitored according to an embodiment of the present invention.

3 is an example illustrating a section for calculating a daily average search amount and a section for calculating a recent daily average search amount according to an embodiment of the present invention.

4 is an example of a result of calculating a daily average search amount, a recent daily average search amount, and a relative interest increase ratio of 16 grids according to an embodiment of the present invention.

5 is an example illustrating a state of a grid in which an interest with a certain degree of increase in relative interest increase ratio is increased according to an embodiment of the present invention.

6 illustrates an example of dividing a grid of increasing interest into unit grids according to an embodiment of the present invention.

7 illustrates an example of selecting a unit of interest grid including a center point in a grid of increasing interest according to an embodiment of the present invention.

8 illustrates an example of calculating a center point 801 in a unit of interest grid according to an embodiment of the present invention.

9 is an example illustrating a process of calculating a region of interest increase based on a center point in a unit of interest grid according to an embodiment of the present invention.

10 illustrates an example of an increased ROI calculated according to an embodiment of the present invention.

11 is an example of a screen for servicing a region of interest increase calculated according to an embodiment of the present invention.

12 is a flowchart illustrating a recommendation method for a region of increased interest according to an embodiment of the present invention.

Claims (29)

A monitoring unit dividing a search target area into at least one grids and monitoring an amount of points of interest searched in each grid; An interest increase grid calculator configured to select a grid including an area where a user's interest is increasing among the grids as an interest increase grid based on a monitoring result; A center point calculator configured to calculate a center point which is a center of the interest increasing grid; And, An interest increasing area calculator configured to calculate an interested area including at least one point of interest in the interest increasing grid based on the center point. Recommend device for the relative increased interest area that includes. The method of claim 1, The interest increase grid calculator, Computing an average search amount, which is the amount of points of interest searched from the first specific time to the present time point in each grid, and a recent average, which is the amount of points of interest searched from the second specific time which is a time closer to the present time point than the first specific time And calculating a search amount, and selecting an interest increasing grid from among the grids based on the recent average search amount and the average search amount of each grid. The method of claim 2, The interest increase grid calculator, And selecting a grid of which the value obtained by dividing the recent average search amount by the average search amount is higher than a threshold value as the interest increase grid. delete The method of claim 1, The center point calculation unit, And an x coordinate and a y coordinate, which are average values of x and y coordinates of the point of interest included in the interest increase grid, as a center point of the interest increase grid. The method of claim 1, The center point calculation unit,  Split the interest increasing grid into a plurality of unit grids, scan each divided unit grid, select at least one unit interest grid including a predetermined amount or more of interest points based on the scan result, and include the unit interest grid in the unit interest grid. The x and y coordinates, which are average values of the x and y coordinates of the points of interest, are calculated as a center point of the unit of interest grid. The method of claim 6, The center point calculation unit, And dividing the interest increasing grid such that some areas of the unit grid overlap with other unit grids. The method of claim 6, The center point calculation unit, The unit grid when the amount of points of interest included in the unit grid divided by the width of the unit grid is greater than the amount of points of interest included in the interest increase grid divided by the width of the increase grid. A device for recommendation for a relative area of increased interest, characterized in that being selected by the unit of interest grid. The method of claim 6, The increased interest area calculation unit Creating a temporary interest area by setting a radius to include at least one point of interest based on the center point, and increasing the size of the temporary area of interest increase to include at least one point of interest additionally. Recommendation device for a region of increased relative interest. 10. The method of claim 9, The increased interest area calculation unit When the amount of points of interest included in the temporary interest increase area divided by the area of the temporary interest increase area is less than or equal to the amount of points of interest included in the unit interest grid divided by the width of the unit interest grid. And recommending a relative interest increase region until the size of the temporary interest increase region is increased. delete delete 10. The method of claim 9, The increased interest area calculation unit, The amount of points of interest included in the temporary interest increase region divided by the width of the area of interest increase is less than or equal to the amount of points of interest included in the unit interest grid divided by the width of the unit of interest grid. And determining the temporary interest increase area as the interest increase area. The method of claim 1, An interest increasing area service unit which calculates a rank of the interested increasing area based on the amount of points of interest included in the increasing interest area and provides the interested increasing area and the ranking to a user. The recommendation device for the relative increased interest area, characterized in that it further comprises. Dividing the searched area into at least one grids and monitoring the amount of points of interest searched in each grid; Selecting a grid including an area in which interest of the user is increasing among the grids as an interest increase grid based on a monitoring result; Calculating a center point which is the center of the interest increasing grid; And, Calculating an increase of interest region including at least one point of interest in the interest increase grid based on the center point; A recommendation method for a relative increased interest area that includes. The method of claim 15, Selecting as the interest increase grid, Calculating an average search amount which is an amount of points of interest searched from the first specific time to the present time point in each grid; Calculating a recent average search amount that is an amount of points of interest searched from a second specific time that is closer to the current time than the first specific time to the current time; And Selecting an interest increase grid among the grids based on the recent average search amount and the average search amount of each grid; A recommendation method for a relative increased interest area that includes. The method of claim 16, Selecting the interest increase grid, And selecting a grid of which the value obtained by dividing the recent average search amount by the average search amount is higher than a threshold value as the interest increasing grid. delete The method of claim 15, Computing the center point, The x and y coordinates, which are average values of the x and y coordinates of the point of interest included in the increase of interest grid, are calculated as a center point of the increase of interest grid. The method of claim 15, Computing the center point, Dividing the interest increasing grid into a plurality of unit grids; Scanning each divided unit grid; Selecting at least one unit of interest grid including a predetermined amount or more points of interest based on the scan result; And Calculating x and y coordinates, which are average values of x and y coordinates of the points of interest included in the unit of interest grid, as a center point of the unit of interest grid; Recommend method for the relative increased interest area, characterized in that it comprises a. 21. The method of claim 20, The dividing into the unit grid, And dividing the interest increasing grid so that some areas of the unit grid overlap with other unit grids. 21. The method of claim 20, Computing the unit of interest grid, The unit grid when the amount of points of interest included in the unit grid divided by the width of the unit grid is greater than the amount of points of interest included in the interest increase grid divided by the width of the increase grid. A method of recommendation for relative areas of increased interest, characterized by selecting as a unit of interest grid. 21. The method of claim 20, The calculating of the increased area of interest may include: Generating a temporary interest increase region by setting a radius to include at least one point of interest based on the center point; And Increasing the size of the temporary interest increase area such that the temporary interest increase area further includes at least one point of interest A recommendation method for a relative increased interest area that includes. 24. The method of claim 23, Increasing the size, When the amount of points of interest included in the temporary interest increase area divided by the area of the temporary interest increase area is less than or equal to the amount of points of interest included in the unit interest grid divided by the width of the unit interest grid. Recommendation for the relative increased interest area, characterized by increasing the size of the temporary increased interest area. delete delete 24. The method of claim 23, The calculating of the increased area of interest may include: The amount of points of interest included in the temporary interest increase region divided by the width of the area of interest increase is less than or equal to the amount of points of interest included in the unit interest grid divided by the width of the unit of interest grid. Determining the temporary interest increase area as an interest increase area A recommendation method for a relative increased interest area that further includes. The method of claim 15, An increased interest area service step of calculating a rank of the increased interest area based on the amount of interest points included in the increased interest area, and providing the increased interest area and the rank to a user; Recommend method for the relative increased interest area, characterized in that it further comprises. A computer-readable recording medium having recorded thereon a program for executing the method of any one of claims 15 to 17, 19 to 24, 27 and 28.
KR1020090009653A 2009-02-06 2009-02-06 Recommendation method and apparatus of relational interest increase area KR101079029B1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
KR1020090009653A KR101079029B1 (en) 2009-02-06 2009-02-06 Recommendation method and apparatus of relational interest increase area
PCT/KR2010/000647 WO2010090433A2 (en) 2009-02-06 2010-02-03 Method and apparatus for recommending an area with relative interest

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020090009653A KR101079029B1 (en) 2009-02-06 2009-02-06 Recommendation method and apparatus of relational interest increase area

Publications (2)

Publication Number Publication Date
KR20100090403A KR20100090403A (en) 2010-08-16
KR101079029B1 true KR101079029B1 (en) 2011-11-02

Family

ID=42542497

Family Applications (1)

Application Number Title Priority Date Filing Date
KR1020090009653A KR101079029B1 (en) 2009-02-06 2009-02-06 Recommendation method and apparatus of relational interest increase area

Country Status (2)

Country Link
KR (1) KR101079029B1 (en)
WO (1) WO2010090433A2 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102663036B1 (en) * 2023-06-30 2024-05-03 주식회사 페스티벌온 System and method for analyzing user behavior pattern in an event area, and a recording medium recording a computer readable program for executing the method

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100837295B1 (en) * 2000-11-29 2008-06-12 강민수 Providing method of game ranking information based on digital map and system of providing the same
KR20030003396A (en) * 2001-06-30 2003-01-10 주식회사 케이티 Method for Content Recommendation Service using Content Category-based Personal Profile structures
KR101118534B1 (en) * 2003-09-16 2012-03-13 주식회사 비즈모델라인 Method for Providing Service Information Based on Location
KR100669356B1 (en) * 2004-10-19 2007-01-15 주식회사 선도소프트 Web Contents Service System and Process with GIS Hyper Link

Also Published As

Publication number Publication date
KR20100090403A (en) 2010-08-16
WO2010090433A2 (en) 2010-08-12
WO2010090433A3 (en) 2010-11-18

Similar Documents

Publication Publication Date Title
US11899703B2 (en) Arrangements of documents in a document feed
JP5029874B2 (en) Information processing apparatus, information processing method, and information processing program
JP6293642B2 (en) General-purpose graphs, rules and spatial structure based on recommendation engine
US20110205231A1 (en) Mapping data in enterprise applications for operational visibility
CN105739843A (en) Information display method and apparatus as well as electronic device
US9639614B2 (en) Maximizing content item information on a search engine results page
US11188147B2 (en) Display control method for highlighting display element focused by user
US20140079341A1 (en) Image processing apparatus and image processing method
US11610168B2 (en) Method for analyzing risk of cooperrator supply chain
US10062088B2 (en) Information distribution apparatus, information distribution method, and storage medium
JP2006217045A (en) Index image generator and generation program
KR101079029B1 (en) Recommendation method and apparatus of relational interest increase area
US20140257974A1 (en) Correction device, correction method, and storage medium
US20110084969A1 (en) Method and apparatus for obtaining minimum cost vector for making skyline object in multi-dimensional space
CN102368244A (en) Page content alignment method, device and mobile terminal browser
US20150317536A1 (en) System and method for evaluating data
US20140365453A1 (en) Projecting analytics based on changes in search engine optimization metrics
CN110580274B (en) GIS data rendering method
KR101744776B1 (en) Apparatus for estimating a floating population using records of search maps and method thereof
CN105760375A (en) Gantt chart display method and system
US20130019181A1 (en) Ensuring variety in a feed
CN110188818B (en) Hot spot region clustering method and device and electronic equipment
US11093517B2 (en) Evaluation result display method, evaluation result display apparatus, and non-transitory computer-readable recording medium storing evaluation result display program
KR101324907B1 (en) Method for determining commendatory booth based on similarity of visiting booth and favorite order
JP7258617B2 (en) PROPERTY SEARCH DEVICE, PROPERTY SEARCH METHOD AND PROPERTY SEARCH PROGRAM

Legal Events

Date Code Title Description
A201 Request for examination
E902 Notification of reason for refusal
E701 Decision to grant or registration of patent right
GRNT Written decision to grant
FPAY Annual fee payment

Payment date: 20140901

Year of fee payment: 4

FPAY Annual fee payment

Payment date: 20150915

Year of fee payment: 5

FPAY Annual fee payment

Payment date: 20160912

Year of fee payment: 6

FPAY Annual fee payment

Payment date: 20181001

Year of fee payment: 8

FPAY Annual fee payment

Payment date: 20190924

Year of fee payment: 9