JP6263376B2 - Candidate output system, candidate output method, and computer program - Google Patents

Description

  The present invention relates to a technique for assisting schedule adjustment of a plurality of persons.

  Conventionally, there is a technique for assisting a user's work when adjusting a schedule of a plurality of persons. For example, a technique for proposing a time slot that is highly feasible based on the priority of an event for which a schedule is newly adjusted and the priority of an event already incorporated in a schedule has been proposed ( Patent Document 1).

Japanese Patent Laid-Open No. 11-232125

  However, when there are a plurality of adjustable date / time candidates, it is difficult to determine which date / time candidate should be preferentially selected. For this reason, there has been a problem that it takes time to determine which date and time should be set among a plurality of candidates.

  In view of the above circumstances, an object of the present invention is to provide a technique that makes it possible to adjust a schedule more easily.

  One aspect of the present invention is based on a candidate acquisition unit that acquires a plurality of schedule candidates that are dates and times that are not scheduled for a plurality of persons that are targets of schedule adjustment, and the plurality of persons based on information about the plurality of persons An estimation unit that estimates information serving as a reference in assigning priority to the schedule candidates, and a priority acquisition unit that acquires priorities for the plurality of schedule candidates based on the estimation result of the estimation unit. This is a candidate output system.

  One aspect of the present invention is the candidate output system described above, wherein the estimation unit acquires work information that is information related to work of a plurality of persons, and the reference information is based on the work information. Estimate future working hours for multiple persons.

  One aspect of the present invention is the candidate output system described above, in which the estimation unit determines future work hours for the plurality of persons based on statistical values of past work times and work times indicated in the work information. Is estimated.

  One aspect of the present invention is a candidate acquisition step of acquiring a plurality of schedule candidates that are dates and times for which a plurality of persons to be adjusted in schedule are not scheduled, and the plurality of persons based on information on the plurality of persons An estimation step for estimating information used as a reference for assigning priority to the schedule candidates, and a priority acquisition step for acquiring priorities for the plurality of schedule candidates based on the estimation result in the estimation step. This is a candidate output method.

  One aspect of the present invention is a candidate acquisition step of acquiring a plurality of schedule candidates that are dates and times for which a plurality of persons to be adjusted in schedule are not scheduled, and the plurality of persons based on information on the plurality of persons An estimation step for estimating information used as a reference for assigning priority to the schedule candidates, and a priority acquisition step for acquiring priorities for the plurality of schedule candidates based on the estimation result in the estimation step. A computer program for causing a computer to execute.

  According to the present invention, it is possible to adjust the schedule more easily.

It is a schematic block diagram showing the function structure of 1st embodiment of a candidate output system. It is a figure which shows the specific example of the work information table which the work information storage part 202 memorize | stores. It is a figure which shows the specific example of the statistical table which the estimation part 103a produces | generates based on a work information table. It is a figure which shows the specific example of the statistical table which the estimation part 103a produces | generates based on a work information table. It is a figure which shows the specific example of the estimation result by the estimation part 103a. It is a figure which shows the specific example of the schedule candidate table which the priority acquisition part 104a produces | generates. It is a figure which shows the specific example of the schedule candidate to which the priority was provided. It is a flowchart which shows the specific example of the flow of a process of the candidate output system 10a. It is a schematic block diagram showing the function structure of 2nd embodiment of a candidate output system. It is a figure which shows the specific example of the statistical table which the estimation part 103b produces | generates based on a schedule history. It is a figure which shows the specific example of the statistical table which the estimation part 103b produces | generates based on a schedule history. It is a figure which shows the specific example of the estimation result by the estimation part 103b. It is a figure which shows the specific example of the schedule candidate table which the priority acquisition part 104b produces | generates. It is a figure which shows the specific example of the schedule candidate to which the priority was provided. It is a flowchart which shows the specific example of the flow of a process of the candidate output system 10b. It is a schematic block diagram showing the function structure of 3rd embodiment of a candidate output system. It is a figure which shows the specific example of the estimation result by the estimation part 103c. It is a figure which shows the specific example of the weighting table which the priority acquisition part 104c uses. It is a figure which shows the specific example of the schedule candidate table which the priority acquisition part 104c produces | generates. It is a figure which shows the specific example of the schedule candidate to which the priority was provided. It is a flowchart which shows the specific example of the flow of a process of the candidate output system 10c. It is a figure which shows the modification of the weighting table which the priority acquisition part 104c uses.

[Outline]
The candidate output system according to the present invention acquires a date and time (hereinafter referred to as “schedule candidate”) that has no schedule for all persons (hereinafter referred to as “participants”) scheduled to participate in a predetermined event. Candidate output system is based on each participant's profile (past working hours, past behavior history, etc.) presume. In other words, the trend of working hours represents working hours that are likely to occur in the future. In other words, the action tendency represents an action that is likely to be taken in the future. The candidate output system gives priority to each schedule candidate based on the estimation result of the trend of working hours and the tendency of behavior of each participant. Then, the candidate output system outputs schedule candidates according to the priority.

  With the candidate output system configured in this way, the user can more easily select an appropriate schedule candidate from a plurality of schedule candidates based on priority. Details of the candidate output system will be described below.

[First embodiment]
FIG. 1 is a schematic block diagram showing a functional configuration of the first embodiment (candidate output system 10a) of the candidate output system. As a specific example of the candidate output system 10a, a candidate output system 10a for adjusting a conference schedule will be described.

  A schedule storage unit 201 is connected to the candidate output system 10a. The schedule storage unit 201 is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The schedule storage unit 201 stores a schedule information table. The schedule information table is a table in which information (schedule information) related to a schedule already set for each participant is registered.

The candidate output system 10a is connected to a storage device that stores information related to each participant's profile. In the first embodiment, a work information storage unit 202 is provided as a specific example of a storage device that stores information about a profile.
The work information storage unit 202 is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The work information storage unit 202 stores a work information table. The work information table is a table in which information (work information) indicating the work status of each participant is registered.

  The candidate output system 10a is configured by one or a plurality of information processing apparatuses. For example, when the candidate output system 10a is configured by a single information processing apparatus, the information processing apparatus includes a CPU (Central Processing Unit) connected via a bus, a memory, an auxiliary storage device, and the like, and executes a candidate output program To do. By executing the candidate output program, the information processing apparatus functions as an apparatus including the free time acquisition unit 101, the candidate acquisition unit 102, the estimation unit 103a, and the priority acquisition unit 104a. All or some of the functions of the candidate output system 10a may be realized using hardware such as an application specific integrated circuit (ASIC), a programmable logic device (PLD), or a field programmable gate array (FPGA). . The candidate output system 10a may be realized by dedicated hardware. The candidate output program may be recorded on a computer-readable recording medium. The computer-readable recording medium is a portable medium such as a flexible disk, a magneto-optical disk, a ROM, a CD-ROM, a semiconductor storage device (for example, SSD: Solid State Drive), a hard disk built in a computer system, or a semiconductor storage. A storage device such as a device. The candidate output program may be provided via a telecommunication line.

The vacant time acquisition unit 101 acquires, for each participant, the date and time (empty time) when no schedule is entered based on the schedule information.
The candidate acquisition unit 102 acquires the date and time (schedule candidate) when all the participants have no schedule based on the free time acquired by the free time acquisition unit 101.
The estimation unit 103a estimates the tendency of each participant's working hours based on each participant's profile (working hours).

The priority acquisition unit 104a gives priority to each schedule candidate based on the tendency of the working hours of each participant. Specifically, the priority acquisition unit 104a gives a higher priority to schedule candidates in a time zone that matches the tendency of working hours of more participants. That is, a higher priority is given to schedule candidates in a time zone that is likely to be suitable for the working hours of more participants.
More specifically, it is as follows. The priority acquisition unit 104a determines, for each schedule candidate, whether participation is possible when each participant behaves according to the trend of working hours. Based on the determination result, the priority acquisition unit 104a estimates the number of people who can participate (number of people who can participate) for each schedule candidate. The priority acquisition unit 104a gives a high priority to schedule candidates with a large number of participants. On the other hand, the priority acquisition unit 104a gives a low priority to schedule candidates with a small number of participants.

Next, the operation of the candidate output system 10a will be described based on a specific example.
FIG. 2 is a diagram illustrating a specific example of a work information table stored in the work information storage unit 202. The work information table is information representing the work start time and work end time of each date for each person. For example, the person corresponding to the work information shown in FIG. 2 starts work at 9:00 on October 1 and ends work at 21:00.

3 and 4 are diagrams illustrating specific examples of the statistical table generated by the estimation unit 103a based on the work information table.
The statistical table shown in FIG. 3 represents the statistical value of the work start time of each participant. Specifically, the statistical table shown in FIG. 3 represents the number of times each participant has started work at the respective work start time. The statistical table is generated based on work information in a predetermined period, for example. For example, the person corresponding to the work information shown in FIG. 3 has started working at 9 o'clock 10 times, and has started working at 9:30 and 10 o'clock 6 times and 1 time, respectively.

  The statistical table shown in FIG. 4 represents the statistical value of the work end time of each participant. Specifically, the statistical table shown in FIG. 4 represents the number of times each participant has finished working at the respective work end time. The statistical table is generated based on work information in a predetermined period as in FIG. For example, the person corresponding to the work information shown in FIG. 4 has finished working at 20:00 three times, and has finished working at 20:30 and 21:00 5 times and 8 times, respectively.

  The estimation unit 103a estimates the trend of working hours of each participant based on the statistical tables shown in FIGS. Specifically, the estimation unit 103a acquires the statistical values of the work start time and the work end time of each participant based on the statistical table. The estimation unit 103a may use a mode value as a statistical value, for example. That is, the estimation unit 103a may acquire the mode value of the work start time and the mode value of the work end time as estimation results for each participant.

  FIG. 5 is a diagram illustrating a specific example of an estimation result obtained by the estimation unit 103a. In the table of FIG. 5, WS represents the mode value of the work start time, and WE represents the mode value of the work end time. In the case of FIG. 5, the estimation unit 103 a estimates that the person A has a strong tendency to work from 9:00 to 21:00. For persons B, C, and D, it is estimated that there is a strong tendency to work from 10:00 to 21:00, from 8 to 19:30, and from 9:30 to 22:00.

  FIG. 6 is a diagram illustrating a specific example of a schedule candidate table generated by the priority acquisition unit 104a. The priority acquisition unit 104a acquires the possible number of participants for each schedule candidate acquired by the candidate acquisition unit 102 based on the estimation result of the estimation unit 103a. A table to which information acquired based on the estimation result for each schedule candidate (in the first embodiment, information relating to the number of people who can participate) is a schedule candidate table.

  FIG. 6 shows five schedule candidates. One record represents one schedule candidate. Each record has a value of each item of a candidate, a date, a start time, an end time, a place, and the number of participants. The candidate indicates an identification number given to the schedule candidate. The date represents the date on which the conference is held. The start time represents the time when the conference is started. The end time represents the time when the conference ends. The location represents the location where the meeting is held. The number of people who can participate represents the number of people who can participate when a conference is held with the schedule candidate.

  FIG. 7 is a diagram illustrating a specific example of schedule candidates to which priorities are assigned. FIG. 7 shows the priorities given to the schedule candidates shown in FIG. The priority acquisition unit 104a gives priority to each schedule candidate in descending order of the number of people who can participate. In the present embodiment, the smaller the priority, the higher the priority.

  FIG. 8 is a flowchart showing a specific example of the processing flow of the candidate output system 10a. First, the free time acquisition unit 101 receives a setting condition (step S101). The setting condition is information indicating a schedule candidate condition output by the candidate output system 10a. The setting condition is information representing, for example, a participant in an event (conference), a holding time (a time from the start time to the end time of the conference), and a holding candidate period (a candidate for a period in which the meeting is to be held). Based on the schedule information table, the vacant time acquisition unit 101 acquires the vacant time of each participant having a length equal to or longer than the holding time in the holding candidate period (step S102). The candidate acquisition unit 102 acquires, as a schedule candidate, a free time common to all participants based on the free time acquired by the free time acquisition unit 101 (step S103).

  Based on the work information table, the estimation unit 103a estimates the tendency of the working hours of each participant (step S104). The priority acquisition unit 104a acquires the priority for each schedule candidate based on the schedule candidate acquired by the candidate acquisition unit 102 and the estimation result of the estimation unit 103a (step S105). And the priority acquisition part 104a outputs a schedule candidate and a priority (step S106). This completes the process of the candidate output system 10a.

  According to the candidate output system 10a configured as described above, priority is given to each schedule candidate even when there are a plurality of adjustable date / time candidates (schedule candidates). Therefore, the user can easily select a more suitable schedule candidate based on the priority.

  More specifically, it is as follows. According to the candidate output system 10a, the working hours of each participant are estimated based on the profile of each participant. And a higher priority is given with respect to the schedule candidate in which more participants can participate in the estimated working hours. Therefore, it is possible to easily select schedule candidates that each participant can participate in the normal working hours.

<Modification>
The candidate acquisition unit 102 may acquire, as a schedule candidate, a date and time when a conference room that can accept the number of participants can be reserved based on reservation information of the conference room in addition to the free time of each participant.

The estimation unit 103a may estimate the tendency of the working hours of each participant based on the entrance / exit information to the office instead of the work information. In this case, the estimation unit 103a may use the time when the employee first enters the office on each date as the work start time, and may use the time when the user finally leaves the office as the work end time.
The estimation unit 103a may use a statistical value (for example, an average value) other than the mode value as the statistical value of the work start time and the work end time of each participant.
The estimation unit 103a may estimate the tendency of the working hours of each participant based on the work information for each day of the week and each month. For example, the estimation unit 103a may estimate a trend of working hours on Monday based only on Monday work information.

The priority acquisition unit 104a may output only schedule candidates whose possible number of participants is equal to or greater than a predetermined threshold. For example, only schedule candidates in a time zone that matches the trend of working hours of all the participants may be output. For example, only schedule candidates with a possible number of participants equal to or greater than a predetermined ratio (for example, 80%) of the number of participants may be output.
Although a conference is given as a specific example of the event, the candidate output system 10a may perform processing on a schedule related to an event other than the conference. For example, the candidate output system 10a may perform processing regarding schedules such as business negotiations, welcome parties, and trips.

[Second Embodiment]
FIG. 9 is a schematic block diagram showing a functional configuration of the second embodiment (candidate output system 10b) of the candidate output system. As a specific example of the candidate output system 10b, a candidate output system 10b for adjusting a conference schedule will be described.

In the second embodiment, a work information storage unit 202 and a schedule history storage unit 203 are provided as specific examples of a storage device that stores information about a profile.
The schedule history storage unit 203 is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The schedule history storage unit 203 stores a history of schedules set in the past.

The candidate output system 10b is different from the candidate output system 10a in that an estimation unit 103b is provided instead of the estimation unit 103a and a priority acquisition unit 104b is provided instead of the priority acquisition unit 104a.
Based on each participant's profile (working hours / schedule history), the estimation unit 103b has a tendency of each participant's working hours, a tendency of the conference room used by each participant, and each participant having a meeting. Estimate trends in time zones.

  The priority acquisition unit 104b gives priority to each schedule candidate based on the tendency of the working hours of each participant, the tendency of the conference room to be used, and the tendency of the time zone in which each participant has a meeting. To do. Specifically, the priority acquisition unit 104b gives a higher priority to schedule candidates in a time zone that matches the tendency of working hours of more participants. Moreover, the priority acquisition part 104b gives a higher priority with respect to the schedule candidate which uses the meeting room suitable for the tendency of the utilization meeting room of more participants. Moreover, the priority acquisition part 104b gives a higher priority with respect to the schedule candidate of the time slot | zone adapted to the tendency of the meeting time slot | zone of more participants.

Next, the operation of the candidate output system 10b will be described based on a specific example.
10 and 11 are diagrams illustrating specific examples of statistical tables generated by the estimation unit 103b based on the schedule history.
The statistical table shown in FIG. 10 represents the number of times each conference room has been used in the past for each participant. For example, a person corresponding to the statistical table shown in FIG. 10 has used the conference room 420C nine times in the past.
The statistic table shown in FIG. 11 represents the number of times a meeting is held in each time zone for each participant. For example, a person corresponding to the statistical table shown in FIG. 11 has held the meeting five times from 9:00 to 10:00, and has held the meeting 25 times from 13:00 to 14:00.

  Based on the statistical tables shown in FIGS. 10 and 11, the estimation unit 103 b estimates the tendency of the conference room used by each participant and the tendency of the time zone during which each participant holds a meeting. Specifically, based on the statistical table, the estimation unit 103b acquires the conference room that has been used most frequently in the past and the time zone in which the most conferences have been held in the past.

  FIG. 12 is a diagram illustrating a specific example of an estimation result obtained by the estimation unit 103b. In the table of FIG. 12, WS represents the mode value of the work start time, WE represents the mode value of the work end time, TR represents the conference room where the most meetings were held in the past, and Tm represents the past. Represents the time of the most meetings. In the case of FIG. 12, the estimation unit 103b estimates that the person A has a strong tendency to use the conference room 420C and has a strong tendency to hold a meeting between 16:00 and 17:00.

  FIG. 13 is a diagram illustrating a specific example of a schedule candidate table generated by the priority acquisition unit 104b. For each schedule candidate acquired by the candidate acquisition unit 102, the priority acquisition unit 104b acquires each value of the number of people who can participate, a priority place, a priority time zone, and a score based on the estimation result of the estimation unit 103b. A table to which information acquired based on the estimation result for each schedule candidate (in the second embodiment, each of the possible number of participants, the priority place, the priority time zone, and the score) is a schedule candidate table.

  FIG. 13 shows five schedule candidates. One record represents one schedule candidate. Each record has values for each item of candidate, date, start time, end time, place, number of participants, priority place, priority time zone, and score. Each value of the candidate, date, start time, end time, place, and the number of participants is as described above. The priority place represents the number of participants whose meeting candidate meeting schedule matches the meeting room (TR) where the most meetings have been held in the past. The priority time zone represents the number of participants whose time zone indicated by the start time and end time of the schedule candidate matches the time zone (Tm) in which the most conferences have been held in the past. A score represents the total value of each value of the number of people who can participate, a priority place, and a priority time slot | zone.

  FIG. 14 is a diagram illustrating a specific example of schedule candidates to which priorities are assigned. FIG. 14 shows the priorities given to the schedule candidates shown in FIG. The priority acquisition unit 104b gives higher priority to each schedule candidate as the score is higher. That is, the priority acquisition unit 104b gives a higher priority to each schedule candidate as the number of people who can participate is higher, gives higher priority as the priority place value is larger, and increases the priority time zone value. Give high priority.

  FIG. 15 is a flowchart illustrating a specific example of the processing flow of the candidate output system 10b. The processing in steps S101 to S104 is the same as the processing shown in FIG. After step S104, the estimation unit 103b estimates the usage tendency of the conference room and the tendency of the conference time zone for each participant based on the schedule history information (steps S201 and S202). The priority acquisition unit 104b acquires the priority for each schedule candidate based on the schedule candidate acquired by the candidate acquisition unit 102 and the estimation result of the estimation unit 103b (step S105). And the priority acquisition part 104b outputs a schedule candidate and a priority (step S106). Thus, the process of the candidate output system 10b ends.

According to the candidate output system 10b configured in this way, it is possible to achieve the same effects as in the first embodiment.
Moreover, according to the candidate output system 10b, the conference room and the time zone of a meeting which each participant uses frequently are estimated based on the profile of each participant. A higher priority is given to a conference room that is frequently used and schedule candidates that match the time zone of the conference. Therefore, it is possible to easily select a conference room that can be easily used by each participant and a schedule candidate in a time zone in which a conference is easily held.

<Modification>
The candidate output system 10b of the second embodiment may be modified and configured similarly to the first embodiment.
The tendency of the time zone in which each participant holds a meeting is not a time zone of one hour interval (for example, from 13:00 to 14:00), but a longer time zone (for example, “AM”, “afternoon”, “evening”) ”,“ Night ”).

[Third embodiment]
FIG. 16 is a schematic block diagram showing the functional configuration of the third embodiment (candidate output system 10c) of the candidate output system. As a specific example of the candidate output system 10c, a candidate output system 10c for adjusting a conference schedule will be described.

In the third embodiment, a work information storage unit 202, a schedule history storage unit 203, and a mail storage unit 204 are provided as specific examples of a storage device that stores information about profiles.
The mail storage unit 204 is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The mail storage unit 204 stores a history of each participant's mail sent and received in the past.

The candidate output system 10c is different from the candidate output system 10b in that an estimation unit 103c is provided instead of the estimation unit 103b and a priority acquisition unit 104c is provided instead of the priority acquisition unit 104b.
Based on each participant's profile (working time / schedule history / email history), the estimating unit 103c determines the tendency of each participant's working hours, the tendency of the conference room used by each participant, Estimate the trend of the meeting time and the position of each participant. Hereinafter, a specific example of processing performed when the estimation unit 103c estimates the post relationship will be described.

  The title relationship may be a title of each participant or a vertical relationship between each participant. The estimation unit 103c estimates the post relationship based on the character string indicating the title included in the mail history, the respect word, and the humility word. For example, when a predetermined number or more of character strings with the title “department manager” after the name of the person A are detected from the mail history, the estimation unit 103c estimates that the person A is a department manager. For example, when a predetermined number or more of respected words or humility words are detected from the text of an email transmitted from the person A to the person B, the estimation unit 103c estimates that the person A has a lower position than the person B. For example, when a predetermined number or more of honorific words and humility words are not detected from the text of an email transmitted from the person A to the person B, the estimation unit 103c estimates that the person A and the person B are equivalent positions To do.

  The priority acquisition unit 104c assigns each schedule candidate based on the tendency of each participant's working time, the tendency of the conference room to be used, the tendency of the time period in which each participant has a meeting, and the position relationship. Give priority. Specifically, the priority acquisition unit 104c assigns a higher priority to schedule candidates in time zones that are more suitable for the tendency of each participant's working hours. Moreover, the priority acquisition part 104c gives a higher priority with respect to the schedule candidate using the meeting room which adapted according to the tendency of the meeting room which each participant uses. Moreover, the priority acquisition part 104c gives a higher priority with respect to the schedule candidate of the time slot | zone which adapted according to the tendency of the time slot | zone when each participant has a meeting. Further, the priority acquisition unit 104c performs weighting based on the position relationship when assigning priority based on the above-described tendencies.

Next, the operation of the candidate output system 10c will be described based on a specific example.
FIG. 17 is a diagram illustrating a specific example of an estimation result obtained by the estimation unit 103c. In the table of FIG. 17, WS represents the mode value of the work start time, WE represents the mode value of the work end time, TR represents the conference room where the most meetings were held in the past, and Tm represents the past. It represents the time when most meetings were held, and EP represents the title of the participant.

  FIG. 18 is a diagram illustrating a specific example of a weighting table used by the priority acquisition unit 104c. In the weighting table, a weight value is defined for each position. The priority acquisition unit 104c performs weighting when acquiring values of the number of people who can participate, a priority place, and a priority time zone based on the post-position estimation result obtained by the estimation unit 103c.

  FIG. 19 is a diagram illustrating a specific example of a schedule candidate table generated by the priority acquisition unit 104c. For each schedule candidate acquired by the candidate acquisition unit 102, the priority acquisition unit 104c acquires each value of the possible number of participants, the priority place, the priority time zone, and the score based on the estimation result of the estimation unit 103c. A table to which information acquired based on the estimation result for each schedule candidate (in the third embodiment, each value of the number of people who can participate, a priority place, a priority time zone, and a score) is a schedule candidate table.

  FIG. 19 shows five schedule candidates. One record represents one schedule candidate. Each record has values for each item of candidate, date, start time, end time, place, number of participants, priority place, priority time zone, and score. The values of the candidate, date, start time, end time, place, number of participants, priority place, priority time zone, and score are as described above.

  When the priority acquisition unit 104c adds a value to the number of people who can participate, a priority place, or a priority time zone, the priority acquisition unit 104c adds a value weighted according to the title of the corresponding participant. For example, according to the start time and end time of the candidate schedule 1, the person C can participate in the candidate 1. According to FIG. 17, the title of the person C is the general manager. According to FIG. 18, the weight of the manager is 5. Therefore, the value of the number of people who can participate in candidate 1 is 5 even though only C can participate.

  FIG. 20 is a diagram illustrating a specific example of schedule candidates to which priorities are assigned. FIG. 20 shows the priorities given to the schedule candidates shown in FIG. The priority acquisition unit 104c gives higher priority to each schedule candidate as the score is higher. That is, the priority acquisition unit 104c assigns a higher priority to each schedule candidate according to the weighting according to the job title of each participant, and the higher the priority place, the higher the priority. A higher priority is assigned as the priority time zone value is larger.

  FIG. 21 is a flowchart illustrating a specific example of the processing flow of the candidate output system 10c. The processes in steps S101 to S104 and steps S201 and S202 are the same as those shown in FIG. After step S202, the estimation unit 103c estimates the post relationship for each participant based on the mail history (step S301). The priority acquisition unit 104c acquires the priority for each schedule candidate based on the schedule candidate acquired by the candidate acquisition unit 102 and the estimation result of the estimation unit 103c (step S105). And the priority acquisition part 104c outputs a schedule candidate and a priority (step S106). Thus, the process of the candidate output system 10c ends.

According to the candidate output system 10c configured as described above, it is possible to achieve the same effects as in the second embodiment.
Further, according to the candidate output system 10c, the job relationship of each participant is estimated based on the profile of each participant. Then, priority is given with emphasis on estimation results regarding participants with high positions. Therefore, it is possible to easily select a schedule candidate that suits the convenience of a participant with a high post.

<Modification>
The candidate output system 10c of the third embodiment may be modified and configured similarly to the second embodiment.
FIG. 22 is a diagram illustrating a modification of the weighting table used by the priority acquisition unit 104c. In FIG. 22, it is shown what position relationship each person arranged on the horizontal axis (b) has with each person arranged on the vertical axis (a). For example, for person A, person B and person C are bosses, and person D is a colleague.
In the weighting table shown in FIG. 22, the weighting value is determined as follows. First, “1” is assigned to each person as an initial value of the weighting value. Next, “1” is added to the weighting value by the number of subordinates for each person. For example, for the person A, there is no person who becomes a subordinate. For this reason, the weighting value of the person A is not added. As a result, the weighting value of the person A remains the initial value “1”. On the other hand, for person B, there are two subordinates (person A and person D). Therefore, “2” is added to the weighting value of the person B. As a result, the weight value of person B is “1 + 2 = 3”.

  The embodiment of the present invention has been described in detail with reference to the drawings. However, the specific configuration is not limited to this embodiment, and includes designs and the like that do not depart from the gist of the present invention.

10a, 10b, 10c ... candidate output system, 101 ... free time acquisition unit, 102 ... candidate acquisition unit, 103a, 103b, 103c ... estimation unit, 104a, 104b, 104c ... priority acquisition unit, 201 ... schedule storage unit, 202 ... work information storage unit, 203 ... schedule history storage unit, 204 ... mail storage unit

Claims (5)

A candidate acquisition unit that acquires a plurality of schedule candidates that are dates and times that are not scheduled for a plurality of persons to be adjusted in the schedule;
An estimation unit that estimates information serving as a reference in assigning priority to the schedule candidates for the plurality of persons based on the information about the plurality of persons;
A priority acquisition unit that acquires priorities for the plurality of schedule candidates based on the estimation result of the estimation unit;
Equipped with a,
The estimation unit estimates a tendency of a conference room used by each person based on information on the plurality of persons,
The priority acquisition section candidate output system based on the tendency of the conference room, you get the priority for a plurality of said schedule candidates each person utilized. The candidate output system according to claim 1, wherein the priority acquisition unit assigns a higher priority to a schedule candidate that uses a conference room that matches a tendency of a conference room used by more people . The estimation unit estimates the conference room where the most meetings have been held in the past for each person as the trend of the conference room used,
The priority acquisition unit assigns a priority to schedule candidates that use each conference room according to the number of persons matching the conference room where the most conferences have been held in the past. Candidate output system described. A candidate acquisition step in which the computer acquires a plurality of schedule candidates that are dates and times that have no schedule for a plurality of persons to be adjusted in the schedule;
Computer, an estimation step of estimating a plurality of on the basis of information about the person, a primary information when imparting a priority to the schedule candidate for the plurality of persons,
A priority acquisition step in which the computer acquires priorities for the plurality of schedule candidates based on the estimation result in the estimation step;
Have
In the estimating step, the computer estimates a tendency of a conference room used by each person based on information on the plurality of persons,
In the priority acquisition step, the computer acquires a priority for a plurality of the schedule candidates based on a tendency of a conference room used by each person . A candidate acquisition unit that acquires a plurality of schedule candidates that are dates and times that are not scheduled for a plurality of persons to be adjusted in the schedule;
An estimation unit that estimates information serving as a reference in assigning priority to the schedule candidates for the plurality of persons based on the information about the plurality of persons;
A priority acquisition unit that acquires priorities for the plurality of schedule candidates based on the estimation result of the estimation unit;
With
The estimation unit estimates a tendency of a conference room used by each person based on information on the plurality of persons,
The priority acquisition unit is a computer program for causing a computer to function as a candidate output system that acquires priorities for a plurality of schedule candidates based on a tendency of a conference room used by each person .

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