JP4829037B2 - Data selection support program, data selection support method, and data selection support device - Google Patents

Description

  The present invention relates to a data selection support program, a data selection support method, and a data selection support device for supporting data selection by a user, and in particular, a data selection support program and a data selection support method for presenting selection candidates according to past operation histories. And a data selection support apparatus.

  With the general use of computers for business execution, the files used on computers have become enormous. Files in the computer are classified into folders (directories) and stored in a storage device. Therefore, when using a file, the computer user displays the contents of the folder in which the file is stored on the screen and selects the target file.

  Here, when the amount of files in the computer becomes enormous, it becomes necessary to increase the number of folders or store a large number of files in one directory. If the number of folders increases, it takes time to select the target folder. Further, when a large number of files are stored in one folder, it takes time to find a target file from the folder.

  In addition, the path to the required file (location of the stored folder) and file name may not be known. In such a case, it is necessary to search for a file and find out the file to be used.

  As described above, the operation of selecting a file necessary for business from a huge amount of files in the computer is a heavy burden on the user. This also becomes a factor which reduces a user's working efficiency. In addition, a file used for business may exist in another computer connected via a network. In that case, the trouble of searching for the file becomes more complicated.

  Therefore, various techniques for facilitating selection of files to be used have been considered. For example, there is a technique for displaying a list of recently used files so that a target file can be selected from the list. Thereby, when a recently used file is used again, the trouble of selecting a file can be reduced.

There is also a technique for predicting a file that a user needs based on a predetermined rule. For example, a group of files having the same attribute value is collected into one file item, a context that is a combination of attribute values is generated, and a correlation rule that is established between the file item is extracted from the file item and the context. The association rule indicates a relationship that “B occurred when A occurred”. By using this correlation rule, a necessary file can be predicted according to the user's file usage situation (see, for example, Patent Document 1).
Japanese Patent Application Laid-Open No. 2004-94648 (see particularly paragraph [0053])

  By the way, when working using a computer, it is common to display a plurality of windows (areas divided in the screen for displaying data) on the screen. Each window displays the contents of the file selected by the user. Then, the user advances the work while switching the window (active window) to be worked. At this time, it can be considered that the files shown in the plurality of windows that are active during the execution of one job have a deeper relationship than the other files.

  However, the technique described in Patent Document 1 cannot accurately determine the correlation between files in consideration of the situation in which the window is active. That is, Patent Document 1 assumes a relationship in which two events occur simultaneously, such as “B occurred when A occurred” (see paragraph [0053] of the document). Therefore, in order to determine that there is a correlation between different files, it is necessary that two events occur simultaneously. However, the user can select only one window as an operation target on the computer. For this reason, even if a plurality of files are used during one business operation, the time zones selected as the operation target do not overlap (there is no simultaneous operation time). As a result, with the technology of Patent Document 1 that requires the simultaneous occurrence of events, it is not possible to accurately determine the correlation between a plurality of files operated in a job performed while switching windows.

  The present invention has been made in view of the above points, and accurately associates a plurality of files used during the execution of a series of operations performed in the past, and the files that the user needs next. It is an object of the present invention to provide a data selection support program, a data selection support method, and a data selection support device that can improve prediction accuracy.

  In order to solve the above problems, the present invention provides a data selection support program as shown in FIG. The data selection support program according to the present invention can cause a computer to execute the functions shown in FIG. 1 in order to support data selection by a user.

  The data information storage means 1 includes data identification information displayed in an activated window or data identification information displayed in an inactive window, and data including an active or inactive time. Store information. The score storage means 2 stores a score indicating the degree of association between data. The monitoring unit 3 monitors the occurrence of a switching event of data displayed in the active window, and stores data information related to data displayed in the window activated by the generated event in the data information storage unit 1. The data information relating to the data displayed in the inactive window is stored in the data information storage means 1. The associating means 4 determines the active period and inactive period of each data based on the data information stored in the data information storing means 1, and the case where the inactive period is less than a predetermined interpolation upper limit value is applicable. Interpolation of the active period is performed by changing the inactive period to the active period, and a score indicating the degree of association between the data is calculated according to the overlapping ratio of the active period between the interpolated data. Is stored in the score storage means. The next candidate list display means 5 refers to the score stored in the score storage means 2 and selects a predetermined number of other data in descending order from the data displayed in the currently active window. Then, the next candidate list 6 a indicating the selected other data as the next selection candidate is displayed on the screen 6.

  When the computer executes such a data selection support program, the monitoring unit 3 causes the data information related to the data displayed in the window activated by the generated event and the data displayed in the inactive window. Is stored in the data information storage means 1. Next, the association means 4 determines the active period and the inactive period of each data, and when the inactive period is less than the predetermined interpolation upper limit value, the corresponding inactive period is changed to the active period. An interpolation process for the active period is performed, a score indicating the degree of association between the data is calculated according to the overlapping ratio of the active period between the data after the interpolation process, and the score between the data is stored in the score storage means 2. Then, the next candidate list display means 5 selects a predetermined number of other data in descending order of the score with the data displayed in the currently active window. A next candidate list 6 a shown as a selection candidate is displayed on the screen 6.

  Further, in the present invention, in order to solve the above-described problem, in a data selection support method for supporting data selection by a user by a computer, the monitoring means monitors occurrence of a switching event of data displayed in an active window, and The data information including the identification information related to the data displayed in the window activated by the event and the time of activation is stored in the data information storage means, and the data displayed in the deactivated window The data information including the identification information and the inactive time is stored in the data information storage means, and the association means determines whether the active period of each data is inactive based on the data information stored in the data information storage means. Judgment of active period, inactive period is predetermined If it is less than the upper limit of interpolation, the corresponding inactive period is changed to the active period, and the active period is interpolated. The degree of association between the data according to the overlap ratio of the active period between the interpolated data The score between the data is calculated and stored in the score storage means, and the next candidate list display means refers to the score stored in the score storage means and displays it in the currently active window. A predetermined number of other data is selected in descending order with respect to the data being recorded, and a next candidate list indicating the selected other data as the next selection candidate is displayed on the screen. A selection support method is provided.

  Furthermore, in the present invention, in order to solve the above-described problem, in the data selection support device that supports the data selection by the user, the data identification information displayed in the active window or the inactive window is displayed. Data information storing means for storing data information including identification information of the data and the time when the data became active or inactive, score storing means for storing a score indicating the degree of association between the data, and display in an active window The data switching event is monitored and the data information related to the data displayed in the window activated by the event is stored in the data information storage means and displayed in the inactive window. The data information on the data that has been Monitoring means stored in the data information storage means, and an active period and an inactive period of each data are determined based on the data information stored in the data information storage means, and the inactive period is less than a predetermined interpolation upper limit value In the case of, the corresponding inactive period is changed to the active period to perform the interpolation process of the active period, and the score indicating the degree of association between the data according to the overlapping ratio of the active period between the interpolated data is obtained. Between the association means for calculating and storing the score between the data in the score storage means, and the data displayed in the currently active window with reference to the score stored in the score storage means A predetermined number of other data is selected in descending order of the score, and a next candidate list indicating the selected other data as the next selection candidate is displayed on the screen. Data selection support apparatus, comprising: the next candidate list display means, is provided.

  In the present invention, when the inactive period is less than the predetermined interpolation upper limit value, the active period of each data is interpolated by changing the period to the active period, and the inter-data interval is changed according to the overlap ratio of the active period after the interpolation. The degree of relevance was set. Therefore, the next candidate list can be displayed with a higher degree of association between data selected for operation in a series of operations. As a result, it is possible to improve the prediction accuracy of the file that the user needs next.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a diagram showing an outline of the invention. The present invention comprises data information storage means 1, score storage means 2, monitoring means 3, association means 4, and next candidate list display means 5.

  The data information storage means 1 includes data identification information displayed in an activated window or data identification information displayed in an inactive window, and data including an active or inactive time. Store information.

The score storage means 2 stores a score indicating the degree of association between data.
The monitoring unit 3 monitors the occurrence of a switching event of data displayed in the active window. Such events include an active window switching event and a data switching event displayed in the active window. For example, when one of a plurality of displayed windows is selected, a window switching event occurs. The occurrence of such an event can be acquired from an OS (Operating System).

  Then, the monitoring unit 3 stores in the data information storage unit 1 data information (identification information of the corresponding data and the time when the data is activated) related to the data displayed in the window activated by the event that has occurred. The monitoring means 3 stores data information (identification information of the corresponding data and the time of inactivity) on the data displayed in the inactive window in the data information storage means 1.

  The associating unit 4 determines the active period and the inactive period of each data based on the data information stored in the data information storing unit 1. For example, the associating unit 4 acquires all the active time and inactive time related to the data based on the identification information of the data. Then, the association unit 4 determines that the period from the active time to the next inactive time is the active period. Further, the associating unit 4 determines that the period from the inactive time to the next active time is the inactive period.

  Further, when the inactive period is less than the predetermined interpolation upper limit value, the associating unit 4 performs the active period interpolation process by changing the corresponding inactive period to the active period. That is, if the length of the inactive period between the two active periods is less than the interpolation upper limit value, the inactive period is changed to the active period. Then, two active periods become a series of active periods.

  Then, the associating means 4 calculates a score indicating the degree of association between the data according to the overlapping ratio of the active period between the data after the interpolation processing, and stores the score between the data in the score storage means 2. For example, the associating unit 4 sets one of two comparison target data as comparison source data and the other as comparison destination data. Then, the associating unit 4 sets the ratio of the period overlapping the active period of the comparison target data among the active period of the comparison source data as the overlapping ratio.

  The next candidate list display means 5 refers to the score stored in the score storage means 2 and selects a predetermined number of other data in descending order from the data displayed in the currently active window. To do. For example, the next candidate list display means 5 uses data currently displayed in the active window as comparison source data, and other data not displayed on the current screen as comparison destination data. Further, the next candidate list display means 5 selects a predetermined number of comparison destination data having a high score when viewed from the comparison source data. Then, the next candidate list display means 5 displays on the screen 6 a next candidate list 6a indicating the selected other data as the next selection candidate.

  According to such a configuration, the monitoring unit 3 causes the data information related to the data displayed in the window activated by the generated event and the data information related to the data displayed in the inactive window to be data information. It is stored in the storage means 1. Thereafter, the association means 4 determines the active period and inactive period of each data. Next, the association means 4 performs an interpolation process for the active period, and calculates a score indicating the degree of association between the data according to the overlapping ratio of the active period between the data after the interpolation process. Further, the score between the data is stored in the score storage unit 2 by the association unit 4. Then, the next candidate list display means 5 selects a predetermined number of other data in descending order from the data displayed in the currently active window, and the next candidate list 6a is displayed on the screen 6. Is done.

  In this way, the next candidate list can be displayed with a higher degree of association between the data selected for operation in a series of operations. As a result, it is possible to improve the prediction accuracy of the file that the user needs next.

Next, details of the present embodiment will be described.
FIG. 2 is a diagram illustrating a hardware configuration example of a computer used in the present embodiment. The computer 100 is entirely controlled by a CPU (Central Processing Unit) 101. A random access memory (RAM) 102, a hard disk drive (HDD) 103, a graphic processing device 104, an input interface 105, and a communication interface 106 are connected to the CPU 101 via a bus 107.

  The RAM 102 temporarily stores at least a part of OS programs and application programs to be executed by the CPU 101. The RAM 102 stores various data necessary for processing by the CPU 101. The HDD 103 stores an OS and application programs.

  A monitor 11 is connected to the graphic processing device 104. The graphic processing device 104 displays an image on the screen of the monitor 11 in accordance with a command from the CPU 101. A keyboard 12 and a mouse 13 are connected to the input interface 105. The input interface 105 transmits a signal transmitted from the keyboard 12 or the mouse 13 to the CPU 101 via the bus 107.

  The communication interface 106 is connected to the network 10. The communication interface 106 transmits / receives data to / from another computer via the network 10.

With the hardware configuration as described above, the processing functions of the present embodiment can be realized.
FIG. 3 is a block diagram showing the file selection support function. In order to realize the file selection support function, the computer 100 includes an OS 110, a monitoring unit 120, a data information storage unit 130, an association unit 140, a ratio table storage unit 150, a score table storage unit 160, and a next candidate list display unit 170. Have.

  The OS 110 controls the entire system of the computer 100, and in response to an operation input from the keyboard 12 or the mouse 13, the application program in the HDD 103 is read into the RAM 102 and executed. Then, a process for executing processing according to the application program is generated. Hereinafter, this process is referred to as applications 181, 182, 183,. Application 181, 182, 183,... Acquires a corresponding file from HDD 103 via OS 110 when a file to be processed is designated by an operation input from keyboard 12 or mouse 13.

  The OS 110 has a multi-window function, and can display a plurality of windows on the monitor 11. Each window is associated with applications 181, 182, 183,. If the application has read the file to be processed, the contents of the read file are displayed in the windows corresponding to the applications 181, 182, 183,.

  The OS 110 selects an active window in response to an operation input from the keyboard 12 or the mouse 13. An active window is a window that is a target of operation input by the user. When a certain window becomes active, the contents of the subsequent operation input are passed to the application corresponding to the active window.

  Here, when an event accompanied by switching of data displayed in the active window or changing data to be processed occurs, the OS 110 notifies the monitoring unit 120 of the event information. For example, open the data to be processed (processing to read the data file into the application and display the contents of the file), switch the data displayed in the active window, URL (Uniform Resource Locator) and file path and file name The event information of reading the data file specified is specified.

Specifically, event information regarding active and inactive is notified in the following cases.
The first example is when the window becomes active. The OS 110 passes the path to the application program corresponding to the activated window and the file name of the application program to the monitoring unit 120. Note that the OS 110 passes the path to the file corresponding to the data and the file name of the file to the monitoring unit 120 when the data to be processed is read in the activated window.

  The second example is when the window becomes inactive. The OS 110 passes the path to the application program corresponding to the deactivated window and the file name of the application program to the monitoring unit 120. When the processing target data is read in the inactive window, the OS 110 passes the path to the file corresponding to the data and the file name of the file to the monitoring unit 120.

  A third example is when a file to be processed is switched in an active window. When the processing target file is switched in the active window, the OS 110 passes the path to the processing target (active) file and the file name of the file to the monitoring unit 120. At this time, the OS 110 further passes to the monitoring unit 120 the path to the file that is no longer the processing target (inactive) and the file name of the file.

  Based on the event information received from the OS 110, the monitoring unit 120 stores information related to the generated event in the data information storage unit 130. For example, the monitoring unit 120 is activated simultaneously with the activation of the OS 110 and functions as a resident program. When the monitoring unit 120 receives a next candidate display request by an operation input from the user or the like, the monitoring unit 120 outputs an activation request to the next candidate list display unit 170. In addition, when receiving the event information, the monitoring unit 120 notifies the next candidate list display unit 170 of the occurrence of the event.

  The data information storage unit 130 is a storage device that holds information (data information) of an event that has occurred. For example, a part of the storage area of the HDD 103 is used as the data information storage unit 130. The data information includes information such as the time when the event occurred, the data file name, and the file path.

  The association unit 140 is activated by an activation request from the next candidate list display unit 170, and associates data and folders. Specifically, the associating unit 140 performs an interpolation process of the data use period, calculates a related ratio between the data, and creates a ratio table. The ratio table is stored in the ratio table storage unit 150. Further, the associating unit 140 calculates a score indicating the degree of association between data, between folders, and between data and folders based on the proportion of association between data set in the ratio table. The score is assumed to increase as the relevance degree increases. Then, the associating unit 140 creates a score table based on the calculated score and stores it in the score table storage unit 160.

The ratio table storage unit 150 is a recording device that stores a ratio table. For example, a part of the storage area of the HDD 103 is used as the ratio table storage unit 150.
The score table storage unit 160 is a recording device that stores a score table. For example, a part of the storage area of the HDD 103 is used as the score table storage unit 160.

  The next candidate list display unit 170 is activated by an activation request from the monitoring unit 120. When activated, the next candidate list display unit 170 aggregates the profile data and then outputs an activation request to the associating unit 140. Profile data is information serving as a reference for creating the next candidate list. For example, it is information for specifying a weighting value for each data type and a time zone for creating a score table. These profile data are set in advance by the user and stored in the HDD 103. Then, the next candidate list display unit 170 acquires profile data from the HDD 103 at the time of activation and passes the profile data to the associating unit 140.

  When the next candidate list display unit 170 receives an event occurrence notification from the monitoring unit 120, the next candidate list display unit 170 refers to the contents of the score table storage unit 160 and relates to the data or folder displayed in the newly activated window. , Data or folder identification information (data name or folder name and path to data or folder) for which a high score is set is extracted as the next candidate data. Then, the next candidate list display unit 170 causes the monitor 11 to display a list of next candidate data.

Next, the data structure of information stored in the computer will be described.
FIG. 4 is a diagram illustrating a data structure of data information stored in the data information storage unit. The data information 131 includes items of data type, data content, event type, and event activation time.

  In the data type item, the type of data targeted for the event is set. Examples of data types include files and URLs. The data type is file when the application window is activated. In addition, even when a file to be operated is switched in an active window, data information whose data type is a file is acquired. The type of data is URL when the document specified by the URL is read in the event target window.

  In the data content item, identification information of the data subject to the event is set. When the data type is a file, a file path (an absolute path indicating a path from the root of the hierarchical structure) and a file name are set as identification information. When the data type is URL, the URL is set as the identification information.

  In the event type item, the type of event that has occurred is set. The event type includes “Active” indicating that the window has become active and “nActive” indicating that the window has become inactive.

In the event activation time item, the date and time when the event is activated is set.
FIG. 5 is a diagram illustrating a data structure of the ratio information stored in the ratio table storage unit. The ratio information 151 includes items of a comparison source data type, a comparison source data name, a comparison destination data type, a comparison destination data name, and a ratio.

  In the item of the data type of the comparison source, character string data indicating the data type of the data as the comparison source is set. Data types include file, URL, and folder, which are represented as “file”, “url”, and “folder”, respectively.

  In the item of the data name of the comparison source, identification information of the data as the comparison source is set. If the comparison source data is a file, the file path and file name are set. If the comparison source data is a URL, the content of the URL is set. If the comparison source data is a folder, the path and folder name of the folder are set. If the comparison source data is time, information indicating a time zone is set.

  In the item of the data type of the comparison destination, character string data indicating the data type of the data as the comparison destination is set. Data types include file, URL, and folder, which are represented as “file”, “url”, and “folder”, respectively.

  In the data name item of the comparison destination, identification information of the data as the comparison destination is set. If the comparison destination data is a file, the path and file name of the file are set. If the comparison destination data is a URL, the content of the URL is set. If the comparison destination data is a folder, the path and folder name of the folder are set. If the comparison destination data is time, information indicating a time zone is set.

In the ratio item, numerical data indicating the degree of temporal overlap between the comparison source data and the comparison destination data is set.
FIG. 6 is a diagram showing a data structure of the score information stored in the score table storage unit. The score information 161 includes items of a comparison source data type, a comparison source data name, a comparison destination data type, a comparison destination data name, and a score. In the items other than the score, the same content as the item of the same name in the ratio information 151 shown in FIG. 5 is set. In the score item, a score obtained by quantifying the degree of association between the comparison source data and the comparison destination data is set.

The processing executed by the system having the functions and data structures as described above is shown below. First, processing executed by the monitoring unit 120 when an event occurs will be described.
FIG. 7 is a flowchart illustrating a processing procedure of the monitoring unit. In the following, the process illustrated in FIG. 7 will be described in order of step number. This process is a process executed when an application becomes active or inactive, and when data active in the application is switched to another data.

[Step S11] The monitoring unit 120 acquires event information from the OS 110.
[Step S12] The monitoring unit 120 stores data information in the data information storage unit 130.

  [Step S13] The monitoring unit 120 determines whether the next candidate list display unit 170 is activated. If next candidate list display unit 170 is activated, the process proceeds to step S14. If the next candidate list display unit 170 is not activated, the process ends.

[Step S14] The monitoring unit 120 notifies the next candidate list display unit 170 that an event has occurred. Thereafter, the process ends.
In this way, the data information is stored in the data information storage unit 130 by the monitoring unit 120 every time an event occurs.

FIG. 8 is a diagram illustrating an example of data information stored in the data information storage unit. As shown in FIG. 8, each data information is accumulated in the data information storage unit 130.
Next, the association process based on the data information in the data information storage unit 130 will be described.

  FIG. 9 is a flowchart illustrating a processing procedure of the associating unit. In the following, the process illustrated in FIG. 9 will be described in order of step number. This process is executed when an activation request is issued from the next candidate list display unit 170 or at a predesignated time.

[Step S21] The associating unit 140 performs a ratio table creation process. Details of this processing will be described later (see FIGS. 10 to 18).
[Step S22] The associating unit 140 performs a score table creation process. Details of this processing will be described later (see FIGS. 19 to 29). Thereafter, the process ends.

Next, the ratio table creation process will be described in detail.
FIG. 10 is a flowchart showing the procedure of the ratio table creation process. In the following, the process illustrated in FIG. 10 will be described in order of step number.

  [Step S31] The associating unit 140 determines whether the ratio information of all data has been updated. That is, the associating unit 140 determines whether the ratio has been calculated for all combinations between data information stored in the data information storage unit 130. If the ratio information of all data has been updated, the ratio table creation process ends. If there is percentage information that has not been updated, the process proceeds to step S32.

  [Step S32] The associating unit 140 determines whether or not all data information has been interpolated with active times. Details of the active time interpolation processing will be described later. If all events have undergone active time interpolation processing, the processing proceeds to step S35. If there is an event that is not actively stored, the process proceeds to step S33.

[Step S33] The associating unit 140 reads the contents of the data information storage unit 130.
[Step S34] The associating unit 140 selects unprocessed data information in the data information storage unit and performs interpolation of the active time. The associating unit 140 records the selected data information and the data information integrated as a single event by interpolation of the active time as processed in the work area of the memory (RAM 102). Thereafter, the process proceeds to step S32.

  [Step S35] When the active time interpolation processing is completed for all data information, the associating unit 140 selects data information after the active time interpolation processing from the work area of the memory.

[Step S36] The associating unit 140 acquires, from the work area of the memory, other data information that becomes active at the same time as the selected data information.
[Step S37] The associating unit 140 calculates the ratio of association between the data information using the data information selected in step S35 as the comparison source and the data information acquired in step S36 as the comparison destination. A method for calculating the ratio will be described later.

  [Step S38] The associating unit 140 writes the ratio calculated in step S37 into the ratio table in the ratio table storage unit 150. Thereafter, the process proceeds to step S31.

  Next, the active time interpolation processing will be described in detail. In the active time interpolation processing, a time zone (active time) in which a window for operating arbitrary data (including a program) is activated is calculated. When there are a plurality of active times of the data, the inactive time between them is calculated. When the inactive time is less than a preset time (interpolation upper limit value), the active time is integrated as if the inactive time was active.

  FIG. 11 is a diagram illustrating an example when active time interpolation is performed. In FIG. 11, time is shown on the horizontal axis. The upper row shows the active time of data before the active time interpolation process is executed. The lower part shows the active time of data after execution of the active time interpolation process.

  In the example of FIG. 11, after the window for manipulating data becomes active, there is a case where there is an inactive time and it becomes active again. In this case, before the active time interpolation processing, two active times are recognized on the basis of the data information with the inactive time interposed therebetween. In this example, the inactive time is less than the interpolation upper limit value. Therefore, the active time is interpolated by regarding that it was active during the inactive time. As a result, the active times are integrated and become one continuous active time after execution of the active time interpolation process.

  FIG. 12 is a diagram illustrating an example when the active time is not interpolated. In FIG. 12, time is shown on the horizontal axis. The upper row shows the active time of data before the active time interpolation process is executed. The lower part shows the active time of data after execution of the active time interpolation process.

  The example of FIG. 12 shows a case where there is an inactive time after the window for manipulating data becomes active and becomes active again. In this case, before the active time interpolation processing, two active times are recognized on the basis of the data information with the inactive time interposed therebetween. In this example, the inactive time is equal to or greater than the interpolation upper limit value. Therefore, the active time is not stored, and is recognized as two separate active times even after execution of the active time interpolation process.

  Such an active time interpolation process is performed for each data. As a result, an overlap of active times for each data occurs. In other words, when the active time is not supplemented, only one window can be activated on the screen at an arbitrary time. Therefore, even if the active time for each data is calculated, there is no overlap in the active time. Therefore, as described above, by complementing the active time, if the inactive time is less than the interpolation upper limit value, it is considered active, and the active time is compared with other data that was active during that time. Overlap occurs.

  FIG. 13 is a diagram illustrating the active time before the active time interpolation processing. In FIG. 13, the active time for each data is indicated by an arrow (the same applies to FIG. 14). As shown in FIG. 13, there is no overlap of active times unless interpolation processing is performed.

  FIG. 14 is a diagram illustrating the active time after the active time interpolation processing. After the active time, the inactive time less than the interpolation upper limit value is regarded as the active time, and the active time is integrated for each data. As a result, there is an overlap in active time between data.

  Next, a method of calculating the association ratio between data will be described. The association ratio is obtained by dividing the time over which the active times overlap by the active time of the comparison source. Hereinafter, specific examples of association ratio calculation will be described with reference to FIGS. 15 to 18. 15 to 18, TA1 is the active start time of data A, TA2 is the active end time of data A, TB1 is the active start time of data B, and TB2 is the active end time of data B. It is.

FIG. 15 is a diagram illustrating a first case of overlap of active times. The first case is a case of “(TB1) − (TA1)> 0” and “(TB2) − (TA2)> 0”. In such a case, “the ratio of data B viewed from data A” and “the ratio of data C viewed from data B” are calculated by the following equations.
Ratio of data B viewed from data A = ((TA2) − (TB1)) / ((TA2) − (TA1))
Ratio of data A viewed from data B = ((TA2) − (TB1)) / ((TB2) − (TB1))
FIG. 16 is a diagram illustrating a second case of overlap of active times. The second case is a case of “(TA1) − (TB1)> 0” and “(TA2) − (TB2)> 0”. In such a case, “the ratio of data B viewed from data A” and “the ratio of data C viewed from data B” are calculated by the following equations.
Ratio of data B viewed from data A = ((TB2) − (TA1)) / ((TA2) − (TA1))
Ratio of data A viewed from data B = ((TB2) − (TA1)) / ((TB2) − (TB1))
FIG. 17 is a diagram illustrating a third case of overlap of active times. The third case is a case of “(TB1) − (TA1)> 0” and “(TA2) − (TB2)> 0”. In such a case, “the ratio of data B viewed from data A” and “the ratio of data C viewed from data B” are calculated by the following equations.
Ratio of data B viewed from data A = (TB2) − (TB1) / (TA2−TA1)
Ratio of data A viewed from data B = 1
FIG. 18 is a diagram illustrating a fourth case of overlap of active times. The fourth case is a case of “(TA1) − (TB1)> 0” and “(TA2) − (TB2)> 0”. In such a case, “the ratio of data B viewed from data A” and “the ratio of data C viewed from data B” are calculated by the following equations.
Ratio of data B viewed from data A = 1
Ratio of data A viewed from data B = ((TA2) − (TA1)) / ((TB2) − (TB1))
As described above, the association ratio between data is calculated. The calculated association ratio is set in the ratio table in the ratio table storage unit 150.

  FIG. 19 is a diagram illustrating an example of the ratio table. In the ratio table 152, the ratio information 151 shown in FIG. 5 is registered in a matrix format. The item of the row of the ratio table 152 indicates the data type and data name of the data that is the comparison source. The column item of the ratio table 152 indicates the data type and data name of the data to be compared. And the ratio of association between each data is shown in the position where the data shown by the item of a row | line and the data shown by the item of a column cross | intersect. In the example of FIG. 19, only data with the data type “file” or “URL” is shown.

Next, the score table creation process will be described.
FIG. 20 is a flowchart showing the procedure of the score table creation process. In the following, the process illustrated in FIG. 20 will be described in order of step number.

  [Step S41] The associating unit 140 determines whether or not the scores of all data for each time period have been calculated. If the scores for all the data have been calculated, the process proceeds to step S43. If there is data for which no score has been calculated, the process proceeds to step S42.

  [Step S42] The associating unit 140 calculates a data-related score based on the association rate between the data. The data-related score is obtained by correcting the degree of association between the comparison source data and the comparison destination data by the weight.

[Step S43] The associating unit 140 adds a score considering the time zone. Thereafter, the process proceeds to step S41.
[Step S44] The associating unit 140 records the scores of all data in the score table storage unit 160.

[Step S45] The associating unit 140 performs folder score addition processing. Details of this processing will be described later (see FIG. 24). Thereafter, the score table creation process ends.
In the present embodiment, weighting according to the type of data is used for calculation of scores in steps S42, S43, and S45. Therefore, a method for calculating the score when weighting according to the type of data is applied will be specifically described.

  The associating unit 140 stores in advance a weight table 141 in which weights corresponding to data types are set. Specifically, the weight table 141 is stored in a storage area in the RAM 102 used by the associating unit 140.

  FIG. 21 is a diagram illustrating a data structure example of the weight table. The weight table 141 is a matrix format table. Data types are set in both the column direction and the row direction. For the type set in each row, a default value of the weight for the data of that type is set. In the example of FIG. 21, the file weight is “1.0”, the folder weight is “1.5”, and the URL weight is “0.5”.

  The weight when the type set for the row is the comparison source and the type set for the column is the comparison destination is set at a position where the row and the column intersect. When the weight is not set, the default weight of the comparison source type set in the row is applied.

  Such weighting according to the type of data can be arbitrarily performed by the user. That is, the importance of the data type to be displayed as the next candidate varies depending on the user. On the other hand, the type of data displayed as the next candidate is affected by the weight value. Therefore, by allowing the user to set an arbitrary weight for the weight table 141, flexible weighting according to the user's business becomes possible.

With reference to such a weight table 141, the associating unit 140 first calculates a data-related score. The data-related score is a value obtained by multiplying the ratio of association of the comparison target data as viewed from the comparison source data by the weight between the corresponding data types. This is expressed by the following formula. In the following equation, the comparison source data is “data A” and the comparison destination data is “data B”.
Data relevance score = “percentage of association with data B viewed from data A” × “weight of type B viewed from type A”
The “ratio of association with data B viewed from data A” can be determined by referring to the ratio table 152 in the ratio table storage unit 150.

  By weighting in this way, it is possible to optimize the data selected as the next candidate. For example, when there are a plurality of files in a folder, the folder content display screen is often activated before and after the window for displaying any file belonging to the folder is activated. Then, there is a possibility that the degree of association between a folder and a file belonging to the folder becomes higher than necessary. In such a case, the data-related score can be kept low by setting the weight between the folder and the file low, and the score can be balanced with other data.

Next, the score calculation process considering the time zone will be described.
FIG. 22 is a flowchart showing the score calculation processing procedure in consideration of the time zone. In the following, the process illustrated in FIG. 22 will be described in order of step number.

  [Step S51] The associating unit 140 determines whether or not score tables for all time periods have been created. If the score table for all time zones has been completed, the process proceeds to step S55. If there is an incomplete score table, the process proceeds to step S52.

[Step S52] The associating unit 140 selects one time zone and obtains a data-related score in that time zone.
[Step S53] The associating unit 140 calculates a time zone correction value, and adds the time zone correction value to the data-related score. The time zone correction value is obtained by multiplying the weight set in advance in association with the time zone by the ratio of the time during which the comparison target data is active within the time zone. This is expressed by the following formula.
"Time zone correction value" = "Time zone weight" x "Time zone ratio"
Note that the weight of the time zone is preset in the associating unit 140 for each time zone. The associating unit 140 calculates the ratio of the time zone based on the time when the comparison target data becomes active in the corresponding time zone (for example, between 8 and 9 o'clock). For example, if it is active for 15 minutes in a time zone of 1 hour, the ratio of the time zone is 0.25. A time zone correction value is obtained by multiplying the time zone ratio by the time zone weight.

Such a time zone correction value is added to the data-related score. The final data-related score is expressed by the following formula.
“Data-related score” = “Ratio to data B viewed from data A” × (weight of type B viewed from type A) + “weight of time zone” × “ratio of time zone of data B”
[Step S54] The associating unit 140 creates a score table for one time zone. Thereafter, the process proceeds to step S51.

[Step S55] When the score table for all time zones is completed, the associating unit 140 stores the completed score table in the score table storage unit 160.
In this way, it is possible to display the next candidate with a good balance between the case where the relation between the data is strong and the case where there is a large number of accesses in a fixed time zone.

As described above, a score table for each time zone is generated.
FIG. 23 shows an example of the data structure of the score table. In the score table 162, the score information 161 shown in FIG. 6 is registered in a matrix format. In the item of the row of the score table 162, the data type and data name of the comparison source data are shown. In the column item of the score table 162, the data type and data name of the comparison target data are shown. And the score between each data is shown in the position where the data shown by the item of a row | line and the data shown by the item of a column cross | intersect.

Next, details of the folder score addition process will be described.
FIG. 24 is a flowchart showing the procedure of folder score addition processing. In the following, the process illustrated in FIG. 24 will be described in order of step number.

[Step S61] The associating unit 140 extracts all file paths of data recorded in the score table 162.
[Step S62] The associating unit 140 performs scoring processing of the folder as viewed from the data. Details of this processing will be described later (see FIG. 25).

[Step S63] The associating unit 140 performs scoring processing for data viewed from the folder. Details of this processing will be described later (see FIG. 26).
[Step S64] The associating unit 140 performs scoring processing for the folder viewed from the folder. Details of this processing will be described later (see FIG. 27).

[Step S65] The associating unit 140 adds a folder item to the score table and sets a folder score.
FIG. 25 is a flowchart showing a folder scoring processing procedure viewed from data. In the following, the process illustrated in FIG. 25 will be described in order of step number.

[Step S71] The associating unit 140 selects one of the folders specified by the file path extracted in step S61 as a processing target.
[Step S <b> 72] The associating unit 140 determines whether or not scoring between all folders has been completed. If scoring has been completed for all folders (when there is no transition destination in step S76), the process ends. If there is an unprocessed folder, the process proceeds to step S73.

[Step S73] The associating unit 140 selects one of the data set in the score table 162 as a processing target.
[Step S74] The associating unit 140 determines whether scoring when viewing the folder from all data related to the processing target folder is completed. If all scoring has been completed, the process proceeds to step S77. If there is unprocessed data, the process proceeds to step S75.

[Step S75] The associating unit 140 calculates the score of the folder based on the score of the data belonging to the folder. The calculation formula is as follows.
“Score for folder viewed from data A” = “Average of top N scores with data belonging to folder (N is a preset natural number)” × “Folder weight viewed from type A”
[Step S76] The associating unit 140 transitions the processing target to the next unprocessed data. Thereafter, the process proceeds to step S74.

[Step S77] The associating unit 140 shifts the processing target to the next unprocessed folder. Thereafter, the process proceeds to step S72.
In this way, scoring of the folder as seen from the data is performed.

FIG. 26 is a flowchart showing a procedure for scoring data viewed from a folder. In the following, the process illustrated in FIG. 26 will be described in order of step number.
[Step S81] The associating unit 140 selects one of the data set in the score table 162 as a processing target.

  [Step S82] The associating unit 140 determines whether or not all of the data has been scored with the folder. If scoring has been completed for all the data (if there is no transition destination in step S86), the process ends. If there is unprocessed data, the process proceeds to step S83.

[Step S83] The associating unit 140 selects one of the folders as a processing target.
[Step S84] The associating unit 140 determines whether scoring has been completed when the data is viewed from all folders related to the processing target data. If all scoring has been completed, the process proceeds to step S87. If there is an unprocessed folder, the process proceeds to step S85.

[Step S85] The associating unit 140 calculates the score of the data to be processed based on the score of the data belonging to the folder. The calculation formula is as follows.
“Score for data A viewed from folder” = “Average of top N scores with data belonging to folder (N is a preset natural number)” × “Weight of data A viewed from folder”
[Step S86] The associating unit 140 transitions the processing target to the next data. Thereafter, the process proceeds to step S84.

[Step S87] The associating unit 140 shifts the processing target to the next folder. Thereafter, the process proceeds to step S82.
In this way, scoring of data viewed from the folder is performed.

FIG. 27 is a flowchart showing a folder scoring processing procedure viewed from a folder. In the following, the process illustrated in FIG. 27 will be described in order of step number.
[Step S91] The associating unit 140 selects one of the folders as a comparison destination.

  [Step S92] The associating unit 140 determines whether scoring has been completed using all folders as comparison targets. If scoring has been completed for all folders (when there is no transition destination in step S96), the process ends. If there is an unprocessed folder, the process proceeds to step S93.

[Step S93] The associating unit 140 selects one of the folders other than the comparison destination as a comparison source folder.
[Step S94] The associating unit 140 determines whether scoring has been completed when the comparison destination folder is viewed from all the folders related to the comparison destination folder. If all scoring has been completed, the process proceeds to step S97. If there is an unprocessed folder, the process proceeds to step S95.

[Step S95] The associating unit 140 calculates the score of the data to be processed based on the score of the data belonging to the folder. The calculation formula is as follows.
“Score for comparison destination folder as seen from comparison source folder” = “Average of top N scores of data belonging to comparison source folder and data belonging to comparison destination folder (N is a preset natural number)” × “ Folder weight as seen from the folder "
[Step S96] The associating unit 140 transitions the comparison source folder to the next folder. Thereafter, the process proceeds to step S94.

[Step S97] The associating unit 140 transitions the comparison destination folder to the next folder. Thereafter, the process proceeds to step S92.
In this way, the folder is scored as seen from the folder.

When the score relating to the folder is completed, the score table 162 shown in FIG. 23 is expanded to a data table including scores between folders and data and between folders.
FIG. 28 is a diagram showing a score table to which folder scores have been added. As shown in FIG. 28, the score table 162 includes a score when the comparison destination data (file, URL) is viewed from the comparison source folder, a score when the comparison destination folder is viewed from the comparison source data, And the score when viewing the comparison destination folder from the comparison source folder has been added.

  By setting scores between folders and data and between folders, when many frequently accessed files belong to the same folder, it can be presented and known as the next candidate for the folder. A time table similar to the score table 162 is created for each time zone.

FIG. 29 is a diagram showing a score table in another time zone. FIG. 29 is a score table showing scores calculated for the time zone from 9:00 to 10:00.
After the score tables 162 and 163 created as described above are stored in the score table storage unit 160, when the next candidate list display unit 170 receives an event occurrence notification from the monitoring unit 120, the score table storage unit 160 The next candidate data is displayed with reference to the score tables 162 and 163.

FIG. 30 is a flowchart showing the procedure of the next candidate data display process. In the following, the process illustrated in FIG. 30 will be described in order of step number.
[Step S101] The next candidate list display unit 170 acquires from the data information storage unit 130 data information related to data currently open on the window and data information of data displayed in the currently active window. . Information about which data is currently open on the window and which data is active can be acquired from the OS 110.

[Step S102] The next candidate list display unit 170 acquires the current time from the clock function of the OS 110.
[Step S103] The next candidate list display unit 170 reads from the score table storage unit 160 a score table corresponding to the time zone to which the current time belongs from the score table created for each time zone.

[Step S104] The next candidate list display unit 170 excludes the currently opened data from the selection targets as the next candidates.
[Step S105] When the next candidate list display unit 170 uses the currently active data or folder as the comparison source from the read score table, the top k items (k is the highest in the comparison target data or folder). Get any natural number) data or folder.

  [Step S106] The next candidate list display unit 170 displays the data or folder information acquired in step S105 in the window as next candidate data information. At that time, the next candidate list display unit 170 sorts and displays the data or folders in descending order of the score.

In this way, each time an active data switching event occurs, the next candidate list is generated and displayed on the screen.
FIG. 31 is a diagram illustrating a display example of the next candidate list. FIG. 31 shows a display screen 30 of the monitor 11 of the computer 100. In the display screen 30, a next candidate list window 31 and various application windows 32, 33, and 34 are displayed.

  Here, it is assumed that the window 34 is active. Then, in the next candidate list window 31, a list of comparison destination data (file or URL) or folder having a high score when the data displayed in the active window 34 is used as a comparison source is displayed. Data or folders are sorted in descending order of score. The next candidate list window 31 displays the rank, name (file name, folder name, URL), path, and score of the data or folder displayed as the next candidate.

  When the data name of the file is displayed as the next candidate, link information for the corresponding data is added to the data name. When an arbitrary data name is selected by the user's operation input, the next candidate list display unit 170 outputs an activation request designating a file corresponding to the selected data name to the OS 110. Then, if the corresponding data is a program file, the OS 110 executes the program. If the corresponding data is a data file, the OS 110 determines an application to be executed based on the extension given to the file name, starts the corresponding application, and is designated for the application. Read the data in the file.

  When a URL is displayed as the next candidate, link information specifying the URL is given. When an arbitrary URL is selected by the user's operation input, the next candidate list display unit 170 activates the web browser application and passes the selected URL to the web browser application. Then, the content of the content at the location specified by the URL is displayed by the web browser application.

  Further, when a folder name is displayed as the next candidate, link information for the corresponding folder is added to the folder name. When an arbitrary folder name is selected by the user's operation input, the next candidate list display unit 170 outputs a content display request for the folder corresponding to the selected folder name to the OS 110. Then, the OS 110 displays a list of files and folders belonging to the designated folder.

  In the above embodiment, the score between the folder and other data or folder is calculated using the score of the data included in the folder, but the score related to the folder is the same as in the case of the file. It can also be calculated. In this case, for example, when the window that displays the contents of the folder is active or inactive, the monitoring unit 120 acquires the data information of the folder. In the data information, at least the folder identification information and the time when the data becomes active or inactive are set. The folder identification information includes the path to the folder and the folder name. As a result, the associating unit 140 performs processing such as active time interpolation in the same manner as the file for determining the active period and inactive period of the folder. Then, the associating unit 140 can calculate the ratio of association with other data or files based on the active time after interpolation, and set a score.

  Further, the above processing functions can be realized by a computer. In that case, a program describing the processing contents of the functions that the computer should have is provided. By executing the program on a computer, the above processing functions are realized on the computer. The program describing the processing contents can be recorded on a computer-readable recording medium. Examples of the computer-readable recording medium include a magnetic recording device, an optical disk, a magneto-optical recording medium, and a semiconductor memory. Examples of the magnetic recording device include a hard disk device (HDD), a flexible disk (FD), and a magnetic tape. Examples of the optical disc include a DVD (Digital Versatile Disc), a DVD-RAM (Random Access Memory), a CD-ROM (Compact Disc Read Only Memory), and a CD-R (Recordable) / RW (ReWritable). Magneto-optical recording media include MO (Magneto-Optical disk).

  When distributing the program, for example, a portable recording medium such as a DVD or a CD-ROM in which the program is recorded is sold. It is also possible to store the program in a storage device of a server computer and transfer the program from the server computer to another computer via a network.

  The computer that executes the program stores, for example, the program recorded on the portable recording medium or the program transferred from the server computer in its own storage device. Then, the computer reads the program from its own storage device and executes processing according to the program. The computer can also read the program directly from the portable recording medium and execute processing according to the program. In addition, each time the program is transferred from the server computer, the computer can sequentially execute processing according to the received program.

The present invention is not limited to the above-described embodiment, and various modifications can be made without departing from the gist of the present invention.
The main technical features of the embodiment described above are as follows.

(Supplementary Note 1) In a data selection support system that supports user data selection,
Computer
Data information storage for storing data information including data identification information displayed in an activated window or data identification information displayed in an inactive window, and time of activation or inactivation means,
Score storage means for storing scores indicating the degree of association between data;
The occurrence of a switching event of data displayed in an active window is monitored, and data information relating to data displayed in the window activated by the event that has occurred is stored in the data information storage means and deactivated. Monitoring means for storing in the data information storage means data information relating to the data that was displayed in the window,
Based on the data information stored in the data information storage means, an active period and an inactive period of each data are determined, and when the inactive period is less than a predetermined interpolation upper limit value, the corresponding inactive period is set. The active period is interpolated by changing to the active period, a score indicating the degree of association between the data is calculated according to the overlapping ratio of the active period between the interpolated data, and the score between the data is stored in the score Association means for storing in the means;
With reference to the score stored in the score storage means, a predetermined number of other data is selected in descending order of the score between the data displayed in the currently active window and the selected other data A next candidate list display means for displaying a next candidate list indicating the data as a next selection candidate on the screen;
Data selection support program to make it function as

  (Additional remark 2) The said next candidate list display means will output the display request | requirement of the selected data, if the arbitrary data in the said next candidate list are selected by operation input, The additional data of 1st line characterized by the above-mentioned Selection support program.

  (Supplementary note 3) The data selection support program according to supplementary note 1, wherein the next candidate list display unit updates the contents of the next candidate list every time the event is detected by the monitoring unit.

  (Supplementary Note 4) The association means has a weight for each type of data set in advance, and the weight corresponding to each type of data to be compared is compared with the overlap ratio of the active period between the data to be compared. The data selection support program according to appendix 1, wherein the multiplied value is used as a score between comparison target data.

(Supplementary Note 5) The association means calculates the degree of association between the folder storing the data stored in the data information storage means and between the data and the folder based on the score of the data belonging to each folder, The score between the folder and the data and between the folder is stored in the score storage unit,
The next candidate list display means selects a predetermined number of other data or other folders in the descending order of the score between the data or folder displayed in the currently active window and the selected other data The data selection support program according to appendix 1, wherein a next candidate list indicating data or another folder as a next selection candidate is displayed on the screen.

(Additional remark 6) The said correlation means calculates the said score between data for every predetermined | prescribed time slot | zone,
The next candidate list display means refers to the score set for the time zone including the current time, and in descending order of the score with the data displayed in the currently active window. The data selection support program according to appendix 1, wherein a predetermined number of other data is selected.

  (Additional remark 7) The said correlation means adds a score by the ratio of the time when the window which displays data in the applicable time slot | zone became active with respect to the said score between the data in each time slot | zone, It is characterized by the above-mentioned. The data selection support program according to appendix 6.

(Supplementary Note 8) In a data selection support method for supporting data selection by a user with a computer,
The monitoring means monitors the occurrence of a switching event of data displayed in the active window, and data information including identification information regarding the data displayed in the window activated by the generated event and the time of activation. Is stored in the data information storage means, and the data information including identification information on the data displayed in the inactive window and the time of inactivity is stored in the data information storage means,
The associating means determines the active period and inactive period of each data based on the data information stored in the data information storing means, and the case where the inactive period is less than a predetermined interpolation upper limit value is applicable. Interpolation of the active period is performed by changing the inactive period to the active period, and a score indicating the degree of association between the data is calculated according to the overlapping ratio of the active period between the interpolated data. Is stored in the score storage means,
The next candidate list display means refers to the score stored in the score storage means, and displays a predetermined number of other data in the descending order of the score with the data displayed in the currently active window. Select and display the next candidate list on the screen showing the other selected data as the next selection candidate.
A data selection support method characterized by the above.

(Supplementary Note 9) In a data selection support device that supports user data selection,
Data information storage for storing data information including data identification information displayed in an activated window or data identification information displayed in an inactive window, and time of activation or inactivation Means,
Score storage means for storing scores indicating the degree of association between data;
The occurrence of a switching event of data displayed in an active window is monitored, and data information relating to data displayed in the window activated by the event that has occurred is stored in the data information storage means and deactivated. Monitoring means for storing data information on the data displayed in the window in the data information storage means;
Based on the data information stored in the data information storage means, an active period and an inactive period of each data are determined, and when the inactive period is less than a predetermined interpolation upper limit value, the corresponding inactive period is set. The active period is interpolated by changing to the active period, a score indicating the degree of association between the data is calculated according to the overlapping ratio of the active period between the interpolated data, and the score between the data is stored in the score An association means for storing in the means;
With reference to the score stored in the score storage means, a predetermined number of other data is selected in descending order of the score between the data displayed in the currently active window and the selected other data A next candidate list display means for displaying a next candidate list indicating data as a next selection candidate on the screen;
A data selection support device comprising:

It is a figure which shows the outline | summary of invention. It is a figure which shows the hardware structural example of the computer used for this Embodiment. It is a block diagram which shows a file selection assistance function. It is a figure which shows the data structure of the data information stored in a data information storage part. It is a figure which shows the data structure of the ratio information stored in a ratio table memory | storage part. It is a figure which shows the data structure of the score information stored in a score table memory | storage part. It is a flowchart which shows the process sequence of a monitoring part. It is a figure which shows the example of the data information stored in the data information storage part. It is a flowchart which shows the process sequence of an correlation part. It is a flowchart which shows the procedure of a ratio table creation process. It is a figure which shows the example in case interpolation of active time is performed. It is a figure which shows the example when interpolation of active time is not performed. It is a figure which shows the active time before an active time interpolation process. It is a figure which shows the active time after an active time interpolation process. It is a figure which shows the 1st case of overlap of active time. It is a figure which shows the 2nd case of overlap of active time. It is a figure which shows the 3rd case of overlap of active time. It is a figure which shows the 4th case of overlap of active time. It is a figure which shows the example of a ratio table. It is a flowchart which shows the procedure of a score table preparation process. It is a figure which shows the data structure example of a weight table. It is a flowchart which shows the calculation process procedure of the score which considered the time slot | zone. It is a figure which shows the data structure example of a score table. It is a flowchart which shows the procedure of a folder score addition process. It is a flowchart which shows the scoring process procedure of the folder seen from the data. It is a flowchart which shows the scoring process procedure of the data seen from the folder. It is a flowchart which shows the score processing process of the folder seen from the folder. It is a figure which shows the score table which added the folder score. It is a figure which shows the score table of another time slot | zone. It is a flowchart which shows the procedure of a next candidate data display process. It is a figure which shows the example of a display of a next candidate list.

Explanation of symbols

1 Data storage means 2 Score storage means 3 Monitoring means 4 Association means 5 Secondary candidate list display means 6 Screen 6a Next candidate list

Claims (5)

In a data selection support system that supports user data selection,
Computer
Data information storage for storing data information including data identification information displayed in an activated window or data identification information displayed in an inactive window, and time of activation or inactivation means,
Score storage means for storing scores indicating the degree of association between data;
The occurrence of a switching event of data displayed in an active window is monitored, and data information relating to data displayed in the window activated by the event that has occurred is stored in the data information storage means and deactivated. Monitoring means for storing in the data information storage means data information relating to the data that was displayed in the window,
Based on the data information stored in the data information storage means, the active period and the inactive period of each data are determined, and for the data having a plurality of active periods, the inactive period between the active periods is a predetermined interpolation. If it is less than the upper limit, the corresponding inactive period is changed to the active period, and the active period is interpolated, and the degree of association between the data is determined according to the overlapping ratio of the active period between the interpolated data. Associating means for calculating a score to indicate and storing the score between data in the score storage means;
With reference to the score stored in the score storage means, a predetermined number of other data is selected in descending order of the score between the data displayed in the currently active window and the selected other data A next candidate list display means for displaying a next candidate list indicating the data as a next selection candidate on the screen;
Data selection support program to make it function as The association means is configured such that a weight for each type of data is set in advance, and a value obtained by multiplying the overlap ratio of the active period between the comparison target data by the weight according to the type of each comparison target data The data selection support program according to claim 1, wherein: is a score between comparison target data. The associating means calculates the degree of association between the folder storing the data stored in the data information storage means and between the folders based on the score of the data belonging to each folder. And the score between the folders is stored in the score storage means ,
The next candidate list display means selects a predetermined number of other data or other folders in the descending order of the score between the data or folder displayed in the currently active window and the selected other data 2. The data selection support program according to claim 1, wherein a next candidate list indicating data or another folder as a next selection candidate is displayed on the screen. In a data selection support method for supporting data selection by a user with a computer,
The monitoring means monitors the occurrence of a switching event of data displayed in the active window, and data information including identification information regarding the data displayed in the window activated by the generated event and the time of activation. Is stored in the data information storage means, and the data information including identification information on the data displayed in the inactive window and the time of inactivity is stored in the data information storage means,
An associating unit determines an active period and an inactive period of each data based on the data information stored in the data information storing unit, and for data having a plurality of active periods, an inactive period between the active periods Is less than the predetermined interpolation upper limit value, the corresponding inactive period is changed to the active period, and the active period is interpolated. the degree of association calculated a score indicating the stores in scoring the resulting point storage means between data,
The next candidate list display means refers to the score stored in the score storage means, and displays a predetermined number of other data in the descending order of the score with the data displayed in the currently active window. Select and display the next candidate list on the screen showing the other selected data as the next selection candidate.
A data selection support method characterized by the above.
In a data selection support device that supports user data selection,
Data information storage for storing data information including data identification information displayed in an activated window or data identification information displayed in an inactive window, and time of activation or inactivation Means,
Score storage means for storing scores indicating the degree of association between data;
The occurrence of a switching event of data displayed in an active window is monitored, and data information relating to data displayed in the window activated by the event that has occurred is stored in the data information storage means and deactivated. Monitoring means for storing data information on the data displayed in the window in the data information storage means;
Based on the data information stored in the data information storage means, the active period and the inactive period of each data are determined, and for the data having a plurality of active periods, the inactive period between the active periods is a predetermined interpolation. If it is less than the upper limit, the corresponding inactive period is changed to the active period, and the active period is interpolated, and the degree of association between the data is determined according to the overlapping ratio of the active period between the interpolated data. Associating means for calculating a score to be shown and storing the score between the data in the score storage means;
With reference to the score stored in the score storage means, a predetermined number of other data is selected in descending order of the score between the data displayed in the currently active window and the selected other data A next candidate list display means for displaying a next candidate list indicating data as a next selection candidate on the screen;
A data selection support device comprising:

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