Job recommendation system, method and program

Abstract

Job recommendations are made based on the measurement results of time study. [Solution] According to one embodiment, the job recommendation system includes an acquisition unit that acquires measurement results of work time for each work type from a user terminal, an aggregation unit that aggregates the work time for each work type for each specified time slot based on the measurement results, a determination unit that determines whether or not a job is needed based on the work time for each time slot, and a recommendation unit that recommends time slots for work types for which a job is needed and determined to require a job.

Description

[Technical field]

[0001] The present invention relates to a job recommendation system, method, and program. [Background technology]

[0002] In various fields, time studies are conducted to measure the work time for each type of work. Cited Document 1 discloses a method for collecting and aggregating time study data when multiple workers work while moving around in a work area, which is characterized in that when collecting time study data, the work area is divided into multiple small work sections, and the work name and the name of the small work section are combined and recorded for each worker, and when aggregating the time study data, the work name is displayed on a worker name-work time plane, and the name of the small work section is displayed as a parameter. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2003-280726 A Summary of the Invention [Problem to be solved by the invention]

[0004] Conventionally, the results of time studies have been used to improve business operations. However, there is room for improvement in how the results of time studies are utilized.

[0005] The present invention has been made in consideration of the above problems, and aims to recommend job offers based on the measurement results of a time study. [Means for solving the problem]

[0006] According to one embodiment, the job recommendation system includes an acquisition unit that acquires measurement results of work time for each work type from a user terminal, an aggregation unit that aggregates the work time for each work type for each specified time slot based on the measurement results, a determination unit that determines whether or not a job is needed based on the work time for each time slot, and a recommendation unit that recommends time slots for work types for which a job is needed and determined to require a job. Effect of the Invention

[0007] According to one embodiment, job offers can be recommended based on the measurement results of the time study. [Brief description of the drawings]

[0008] [Figure 1] FIG. 1 is a diagram illustrating an example of the configuration of a job recommendation system 1000. [Diagram 2] 1 is a diagram illustrating an example of a hardware configuration of an information processing device 100. [Diagram 3] 1 is a diagram illustrating an example of a functional configuration of a job recommendation device 1. FIG. [Figure 4] FIG. 2 is a diagram illustrating an example of a functional configuration of a user terminal 2. [Diagram 5] 1 is a flowchart illustrating an example of a job recommendation method. [Figure 6] FIG. 13 is a diagram showing an example of measurement result information 121. [Figure 7] FIG. 11 is a diagram illustrating an example of a counting method. [Figure 8] FIG. 13 is a diagram showing an example of a recommendation screen sc. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, each embodiment of the present invention will be described with reference to the accompanying drawings. In the description of the specification and drawings of each embodiment, components having substantially the same functional configuration are designated by the same reference numerals, and redundant description will be omitted.

[0010] <System configuration> First, an overview of the job recommendation system 1000 according to this embodiment will be described. The job recommendation system 1000 is an information processing system that recommends jobs based on the measurement results of a time study. The job recommendation system 1000 determines that there is a shortage of workers for a task type that requires a long working time, i.e., that a job offer for a worker is necessary, and recommends a job offer for a worker to the user.

[0011] A time study is an effort to record the start and end times of each task performed during working hours. A time study measures the amount of time each task takes during working hours.

[0012] Time studies are conducted in a variety of fields, including nursing homes, medical institutions, educational institutions, amusement facilities, factories, warehouses, etc. Below, we will explain an example of a time study conducted in a nursing home.

[0013] FIG. 1 is a diagram showing an example of the configuration of a job recommendation system 1000. As shown in FIG. 1, the job recommendation system 1000 includes a job recommendation device 1, user terminals 2a and 2b, and a job offer device 3, which are connected to each other so as to be able to communicate with each other via a network N. The network N is, for example, a wired LAN (Local Area Network), a wireless LAN, the Internet, a public line network, a mobile data communication network, or a combination of these. In the example of FIG. 1, the job recommendation system 1000 includes two user terminals 2, but may include three or more. In addition, the job recommendation system 1000 may not include the job offer device 3. Hereinafter, the user terminals 2a and 2b are collectively referred to as user terminals 2.

[0014] The job recommendation device 1 is an information processing device that recommends jobs based on the measurement results of a time study. The job recommendation device 1 is, for example, but not limited to, a PC (Personal Computer), a smartphone, a tablet terminal, a server device, or a microcomputer. In the example of FIG. 1, the job recommendation device 1 is one information processing device, but may be realized as a system consisting of multiple information processing devices connected via a network N.

[0015] The user terminal 2 is an information processing device used by a user of the job recommendation system 1000. The user terminal 2 is, for example, a PC, a smartphone, a tablet terminal, or a smart watch, but is not limited to these.

[0016] A user transmits the measurement results of a time study to the job recommendation device 1 via a user terminal 2, and receives job recommendations from the job recommendation device 1. The user is, for example, a worker whose work time is measured in a time study, or a measurer who measures work time in a time study, but is not limited to this. The user may also conduct a time study using the user terminal 2, or may conduct the time study using another device such as a stopwatch. In the latter case, the user terminal 2 obtains the measurement results of the time study from an external device.

[0017] The job vacancy device 3 is an information processing device that provides a job vacancy service. The job vacancy device 3 advertises jobs online and accepts applications from job seekers. The job vacancy device 3 is, for example, but is not limited to, a PC, a smartphone, a tablet terminal, a server device, or a microcomputer. In the example of FIG. 1, the job vacancy device 3 is one information processing device, but may be realized as a system consisting of multiple information processing devices connected via a network N.

[0018] <Hardware configuration of information processing device 100> Next, a description will be given of a hardware configuration of the information processing device 100. Fig. 2 is a diagram showing an example of a hardware configuration of the information processing device 100. As shown in Fig. 2, the information processing device 100 includes a processor 101, a memory 102, a storage 103, a communication I / F 104, an input device 105, an output device 106, and a drive device 107, which are connected to each other via a bus B.

[0019] The processor 101 controls each component of the information processing device 100 and realizes the functions of the information processing device 100 by expanding in the memory 102 various programs including an OS (Operating System) stored in the storage 103 and executing them. The processor 101 is, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), an ASIC (Application Specific Integrated Circuit), or a DSP (Digital Signal Processor), but is not limited to these.

[0020] The memory 102 is, for example, a Read Only Memory (ROM), a Random Access Memory (RAM), or a combination thereof. The ROM is, for example, a Programmable ROM (PROM), an Erasable Programmable ROM (EPROM), an Electrically Erasable Programmable ROM (EEPROM), or a combination thereof. The RAM is, for example, but is not limited to, a Dynamic RAM (DRAM) or a Static RAM (SRAM).

[0021] The storage 103 stores various programs including an OS and data. The storage 103 is, for example, a flash memory, a hard disk drive (HDD), a solid state drive (SSD), or storage class memories (SCM), but is not limited to these.

[0022] The communication I / F 104 is an interface for connecting the information processing device 100 to an external device via the network N and controlling communication. The communication I / F 104 is, for example, Bluetooth (registered trademark), Wi-Fi (registered trademark), ZigBee (registered trademark), or Ethernet (registered trademark), but is not limited thereto.

[0023] The input device 105 is a device for inputting information to the information processing device 100. The input device 105 is, for example, a mouse, a keyboard, a touch panel, a microphone, a scanner, a photographing device (camera), various sensors, or an operation button, but is not limited to these.

[0024] The output device 106 is a device for outputting information from the information processing device 100. The output device 106 is, for example, a display device, a projector, a printer, a speaker, or a vibrator, but is not limited to these.

[0025] The drive device 107 is a device that reads and writes data to the recording medium 108. The drive device 107 is, for example, but not limited to, a magnetic disk drive, an optical disk drive, a magneto-optical disk drive, or an SD card reader. The recording medium 108 is, for example, but not limited to, a CD (Compact Disc), a DVD (Digital Versatile Disc), a FD (Floppy Disk), an MO (Magneto-Optical disk), a BD (Blu-ray (registered trademark) Disc), a USB (registered trademark) memory, or an SD card.

[0026] In this embodiment, the program may be written into the memory 102 or the storage 103 during the manufacturing stage of the information processing device 100, or may be provided to the information processing device 100 via the network N, or may be provided to the information processing device 100 via a non-transitory computer-readable recording medium such as the recording medium 108.

[0027] <Functional configuration of job recommendation device 1> Next, a description will be given of the functional configuration of the job recommendation device 1. Fig. 3 is a diagram showing an example of the functional configuration of the job recommendation device 1. As shown in Fig. 3, the job recommendation device 1 includes a communication unit 11, a storage unit 12, and a control unit 13.

[0028] The communication unit 11 is realized by the communication I / F 104. The communication unit 11 transmits and receives information between the user terminal 2 and the job vacancy device 3 via the network N.

[0029] The storage unit 12 is realized by the memory 102 and the storage 103. The storage unit 12 stores measurement result information 121, aggregate information 122, recommendation information 123, employment information 124, and job information 125.

[0030] The measurement result information 121 is information showing the measurement results of the time study. The measurement results include the task time for each task type. The task time may be the time required for the task, or a combination of the start time and end time of the task, or both.

[0031] The summary information 122 is information indicating the results of summarizing the task time for each task type for each predetermined time frame based on a plurality of measurement results.

[0032] The recommendation information 123 is information about a job offer recommended to a user. The recommendation information 123 includes information indicating the type of work and the time frame for which the job offer is recommended. The recommendation information 123 may also include information indicating the employment conditions of the recommended job offer.

[0033] The employment information 124 is information related to employment. The employment information 124 includes information related to the employment conditions of employees in the organization to which the user belongs, information related to the employment conditions registered by the user in the job recommendation system 1000, information related to the employment conditions previously set in the job recommendation system 1000, and the like. The employment conditions include conditions such as working hours, job type, qualifications, salary, transportation expenses, holidays, breaks, work location, and employment type according to the type of work. The employment information 124 may include information related to the organization to which the user belongs. The information related to the organization includes information indicating the name, address, representative, capital, contact information, number of people, business content, and the like of the organization.

[0034] The job information 125 is information related to job offers. The job information 125 includes information indicating the type of work and employment conditions.

[0035] The control unit 13 is realized by the processor 101 reading and executing a program from the memory 102 and cooperating with other hardware configurations. The control unit 13 controls the overall operation of the job recommendation device 1. The control unit 13 includes an acquisition unit 131, a counting unit 132, a determination unit 133, a recommendation unit 134, and a job offering unit 135.

[0036] The acquisition unit 131 acquires the measurement result information 121 from one or more user terminals 2 .

[0037] The counting unit 132 counts up a plurality of measurement results.

[0038] The determination unit 133 determines whether or not a job offer is necessary based on the collected measurement results.

[0039] The recommendation unit 134 recommends to the user the work types and time slots for which it has been determined that job offers are necessary.

[0040] The recruiting unit 135 requests the recruiting device 3 to implement recruiting.

[0041] The functional configuration of the job recommendation device 1 is not limited to the above example. For example, the job recommendation device 1 may have a part of the above functional configuration, and the user terminal 2 may have the rest. The job recommendation device 1 may also have functional configurations other than those described above. Each functional configuration of the job recommendation device 1 may be realized by software as described above, or may be realized by hardware such as an IC chip, a SoC (System on Chip), an LSI (Large Scale Integration), or a microcomputer.

[0042] <Functional configuration of user terminal 2> Next, a description will be given of the functional configuration of the user terminal 2. Fig. 4 is a diagram showing an example of the functional configuration of the user terminal 2. As shown in Fig. 4, the user terminal 2 includes a communication unit 21, a storage unit 22, and a control unit 23.

[0043] The communication unit 21 is realized by the communication I / F 104. The communication unit 21 transmits and receives information to and from the job recommendation device 1 via the network N.

[0044] The storage unit 22 is realized by the memory 102 and the storage 103. The storage unit 22 stores measurement result information 221, recommendation information 222, and job information 223. The measurement result information 221, recommendation information 222, and job information 223 are similar to the measurement result information 121, recommendation information 123, and job information 125, and therefore description thereof will be omitted.

[0045] The control unit 23 is realized by the processor 101 reading and executing a program from the memory 102 and cooperating with other hardware configurations. The control unit 23 controls the overall operation of the user terminal 2. The control unit 23 includes a measurement unit 231, a display unit 232, and a recruitment unit 233.

[0046] The measurement unit 231 measures the task time of the worker for each task type. That is, the measurement unit 231 corresponds to an application for conducting a time study. A user conducts a time study using the measurement unit 231. Note that the user terminal 2 does not need to include the measurement unit 231 when acquiring the time study measurement result information 221 from another device.

[0047] The display unit 232 controls the screen displayed on the display device of the user terminal 2 in response to an operation by the user.

[0048] The recruiting unit 233 requests the job recommendation device 2 to implement the job offer. The recruiting unit 233 may directly request the job offer device 3 to implement the job offer.

[0049] The functional configuration of the user terminal 2 is not limited to the above example. For example, the user terminal 2 may have some of the above functional configurations, and the user terminal 2 may have the rest. The user terminal 2 may also have functional configurations other than those described above. As described above, each functional configuration of the user terminal 2 may be realized by software, or may be realized by hardware such as an IC chip, an SoC, an LSI, or a microcomputer.

[0050] <How to recommend jobs> Next, a description will be given of a job recommendation method executed by the job recommendation system 1000. Fig. 5 is a flowchart showing an example of the job recommendation method.

[0051] In the following, an example will be described in which a time study is conducted in a care facility, the user is a staff member of the care facility, and the user himself / herself conducts the time study using the user terminal 2. In other words, the user is both a worker and a measurer.

[0052] (Step S101) The user performs a time study using the user terminal 2. Specifically, the user inputs the type of care work to be performed, the start time, and the end time to the user terminal 2. The measurement unit 231 stores the type of work, the start time, and the end time input by the user in the storage unit 22 as measurement result information 221.

[0053] FIG. 6 is a diagram showing an example of measurement result information 121. The measurement result information 121 in FIG. 6 includes information items such as "No.", "task type", "start time", and "end time". "No." is the record number. "Task type" is the type of care work performed by the user. "Start time" and "end time" are the start and end times of the care work. For example, record 001 has an "task type" of eating, a "start time" of 12:03, and an "end time" of 13:14. This means that the user performed meal assistance from 12:03 to 13:14.

[0054] A user performs such a time study for a predetermined period of time. The predetermined period of time may be, but is not limited to, one day, one week, or one month. It is preferable that a plurality of users perform the time study at one business establishment.

[0055] (Step S102) The user terminal 2 transmits the measurement result information 221 acquired in step S101 to the job recommendation device 1. The user terminal 2 may transmit the measurement result information 221 to the job recommendation device 1 every time a new record is added to the measurement result information 221, may transmit the measurement result information 221 to the job recommendation device 1 in response to a user's transmission operation, or may transmit the measurement result information 221 to the job recommendation device 1 at predetermined time intervals.

[0056] When the acquisition unit 131 of the job recommendation device 1 acquires the measurement result information 221 from the user terminal 2, it stores it in the storage unit 12 as measurement result information 121. Here, it is assumed that the job recommendation device 1 acquires one week's worth of measurement result information 121a and 121b from the user terminals 2a and 2b of users a and b.

[0057] (Step S103) The tallying unit 132 tally up the measurement results of users a and b based on the measurement result information 121a and 121b. More specifically, the tallying unit 132 tally up the task times of users a and b for each task type for each predetermined time frame based on the measurement results of users a and b. As an example, the tallying method is as follows.

[0058] First, the tallying unit 132 calculates the task time for each task type for each day of the week for users a and b for each time frame. The task time is the time from the start time to the end time.

[0059] A time frame is an individual period having a predetermined time width that is the subject of a judgment as to whether or not a job offer is necessary. The time width of a time frame is, for example, but not limited to, 30 minutes, 1 hour, 2 hours, or 1 day. The time frame may be morning, afternoon, or working hours for each shift (day shift, night shift, etc.). The time frame may be common to all work types, or may differ for each work type. The time frame may be set in advance, or may be arbitrarily set by the user. The time frame may have a fixed time width within one work type, or may have a different time width for each time period.

[0060] Fig. 7 is a diagram showing a schematic example of a tabulation method. Fig. 7 is a stacked bar graph showing the work time for each work type. Each vertical bar corresponds to the work time for each work. In the example of Fig. 7, ten time slots with a time span of one hour are set between 9:00 and 19:00.

[0061] Fig. 7(a) shows the work time for each task type in each time slot for user a on Monday, and Fig. 7(b) shows the work time for each task type in each time slot for user b on Monday. The diagonally shaded vertical bars in Fig. 7(a) and (b) indicate the work time for meal assistance. Fig. 7(a) shows that, for example, user a performed two types of tasks, including meal assistance, from 12:00 to 13:00 on Monday, and it took about 45 minutes for meal assistance.

[0062] Next, the tallying unit 132 tallies up the work hours of users a and b for each day of the week by work type. The tallying method is, for example, summing or averaging, but is not limited to this. Fig. 7(c) shows the average work hours of meal assistance for users a and b on Mondays.

[0063] 7(c), the tallying unit 132 stores information indicating the work time for each work type for each day of the week, which is tallied for each time slot, in the storage unit 12 as tallied information 122. Note that the tallying unit 132 may tally the work time as a day's work time, instead of a day's work time.

[0064] The tallying unit 132 may tally up the work times of multiple work types as one work type. In this case, the tally up work times of each work type are added up for each time slot. For example, when tallying up the work time of meal assistance and the work time of cleaning as one work type, the work time of meal assistance (FIG. 7(c)) and the work time of cleaning are added up.

[0065] (Step S104) The determination unit 133 determines whether or not a job offer is necessary for each work type based on the aggregation information 122. For example, the determination unit 133 determines that a job offer is necessary when the aggregated work time for each time frame of each work type is equal to or greater than a threshold, and determines that a job offer is not necessary when the aggregated work time is less than the threshold.

[0066] The threshold may be set for each work type, for each time frame, for each tallying method (total or average), or the respective thresholds set for each work type, time frame, and tallying method may be used in combination. The threshold may be set in advance in the job recommendation device 2, may be arbitrarily set by the user, or may be calculated for each work type based on the tallying information 122 of other establishments.

[0067] 7(c), the dotted lines indicate thresholds, and the thresholds for each time slot for meal assistance are set to 30 minutes. Since the working time for meal assistance in the time slot from 12:00 to 13:00 is 30 minutes or more, the determination unit 133 determines that job posting is required for the time slot for meal assistance from 12:00 to 13:00, and determines that job posting is not required for the other time slots.

[0068] The determination unit 133 may determine whether or not a job offer is necessary by regarding the work time of a plurality of work types as the work time of one work type. In this case, a threshold value according to the combination of the plurality of work types is set. For example, when determining that the work time of meal assistance and cleaning is one work type and is considered as work time, if the sum of the work time of meal assistance (FIG. 7(c)) and the work time of cleaning is equal to or greater than the threshold value, it is determined that a job offer is necessary for meal assistance and cleaning.

[0069] (Step S105) The recommendation unit 134 generates recommendation information 123 for recommending a job offer to a user based on the determination result of the determination unit 133 in step S104. Specifically, the recommendation unit 134 stores information indicating a time frame for the type of work for which the determination unit 133 has determined that a job offer is necessary as the recommendation information 123 in the storage unit 12.

[0070] At this time, the recommendation unit 134 preferably refers to the employment information 124, acquires information indicating employment conditions corresponding to the recommended work type and time frame, and stores the information in the storage unit 12 as recommendation information 123. This generates recommendation information 123 including information indicating the time frame of the work type and information indicating the employment conditions.

[0071] The recommendation unit 134 may acquire at least a part of the recommendation information 123 from the job vacancy device 3. For example, the recommendation unit 134 may transmit information indicating employment conditions (qualifications, job type, address of facility to which the user belongs, etc.) corresponding to the recommended work type and time frame to the job vacancy device 3, receive information indicating salary corresponding to the employment conditions from the job vacancy device 3, and include the received information in the recommendation information 123.

[0072] The salary according to the employment conditions is, for example, the average, mode, minimum, or maximum salary of job offers with the same or similar employment conditions, or the average, mode, minimum, or maximum salary of job offers that have been concluded among job offers with the same or similar employment conditions. The recommendation unit 134 may acquire information indicating a plurality of salaries according to the employment conditions from the job offer device 3. This allows the recommendation unit 134 to recommend to the user an appropriate salary according to the employment conditions.

[0073] The employment conditions that the recommendation unit 134 acquires from the job vacancy device 3 are not limited to salary. The recommendation unit 134 can acquire any employment conditions from the job vacancy device 3.

[0074] (Step S106) The recommendation unit 134 transmits the recommendation information 123 to the user terminal 2. As a result, the time frame and employment conditions of the work type for which it has been determined that a job offer is necessary are recommended to the user. At this time, the recommendation unit 134 may transmit the aggregate information 122 corresponding to the recommended work type and time frame. Upon acquiring the recommendation information 123, the user terminal 2 stores it in the storage unit 22 as recommendation information 222.

[0075] (Step S107) The display unit 232 of the user terminal 2 displays the contents of the recommendation on the display device of the user terminal 2 based on the recommendation information 222. That is, the display unit 232 displays the time frame and employment conditions of the work type for which it has been determined that a job offer is necessary.

[0076] Fig. 8 is a diagram showing an example of a recommendation screen sc. The recommendation screen sc is a screen that displays the contents of a recommendation. The recommendation screen sc in Fig. 8 includes job details sc1, an edit button sc2, a job button sc3, and a compilation result sc4.

[0077] The job offer sc1 is the recommendation information 222, and includes the type of work, the time frame, and the employment conditions as the contents of the recommended job offer. In the example of Fig. 8, the type of work is meal assistance, the time frame is from 12:00 to 13:00 on Mondays, and the employment conditions are part-time work as a care assistant with an hourly wage of 2000 yen.

[0078] The edit button sc2 is a button for editing the job offer content sc1. When the edit button sc2 is selected, the display unit 232 displays an edit screen (not shown) for editing the job offer content sc1. The user edits the job offer content sc1 on the edit screen.

[0079] The job offer button sc3 is a button for requesting the job recommendation device 2 to implement the job offer according to the job content sc1. When the user selects the job offer button sc3, the user terminal 2 requests the job recommendation device 2 to implement the job offer according to the job content sc1.

[0080] The tabulation result sc4 is tabulation information 122 corresponding to the recommended work type and time frame. By displaying the tabulation result sc4, the user can easily understand the reason why the job offer was recommended for that work type and time frame.

[0081] The information included in the recommendation screen sc is not limited to the above example. Furthermore, the recommendation screen sc may display a plurality of work types and time frames as the recommended work types and time frames.

[0082] (Step S108) The user refers to the recommendation screen sc and edits the job offer content sc1 to the desired content. Information indicating the edited job offer content sc1 is stored in the storage unit 22 as job information 223.

[0083] (Step S109) When the user completes editing the job content sc1, he or she selects the job button sc3. The job recruitment unit 233 transmits the job information 223 to the job recommendation device 2, and requests the job recommendation device 2 to implement a job with the content of the job information 223. When the job recommendation device 2 receives the job information 223 from the user terminal 2, it stores it in the storage unit 12 as job information 125.

[0084] (Step S110) When a request to implement a job offer is received from the user terminal 2, the job offer unit 135 of the job offer recommendation device 2 transmits job offer information 125 to the job offer device 3 and requests the job offer device 3 to implement the job offer according to the contents of the job offer information 125.

[0085] (Step S111) The recruiting device 3 recruits people online using the contents of the recruitment information 125.

[0086] <Summary> As described above, according to this embodiment, a job recommendation system 1000 is realized which includes an acquisition unit 131 that acquires measurement results of work time for each work type from the user terminal 2, an aggregation unit 132 that aggregates the work time for each work type for each specified time slot based on the measurement results, a determination unit 133 that determines whether or not a job is needed based on the work time for each time slot, and a recommendation unit 134 that recommends time slots for work types for which it has been determined that a job is needed.

[0087] With this configuration, job offers can be recommended to users based on the measurement results of the work time for each work type obtained by the time study. This allows users to recruit for work types and work slots for which there is actually a shortage of workers, enabling effective recruitment activities.

[0088] <Additional Notes> The present embodiment includes the following disclosure.

[0089] (Appendix 1) An acquisition unit that acquires measurement results of task time for each task type from a user terminal; a counting unit that counts the task time for each task type for each predetermined time frame based on the measurement results; A determination unit that determines whether or not a job offer is necessary based on the work time for each time slot; a recommendation unit that recommends a time frame for a work type that is determined to require recruitment; A job recommendation system that includes:

[0090] (Appendix 2) The measurement results are the results of a time study. Attachment 1 describes a job recommendation system.

[0091] (Appendix 3) The time frame is set for each type of work. Attachment 1 describes a job recommendation system.

[0092] (Appendix 4) The time frame has a certain time width according to the type of work. Attachment 1 describes a job recommendation system.

[0093] (Appendix 5) The determination unit determines that a job offer is necessary when the work time for each time frame is equal to or greater than the time frame. Attachment 1 describes a job recommendation system.

[0094] (Appendix 6) The threshold is set for each type of work or each time frame. Attachment 1 describes a job recommendation system.

[0095] (Appendix 7) The recommendation unit recommends employment conditions according to the time frame of the work type based on pre-registered employment information. Attachment 1 describes a job recommendation system.

[0096] (Appendix 8) Further provided with a display unit for displaying the contents of the recommendation Attachment 1 describes a job recommendation system.

[0097] (Appendix 9) The determination unit determines whether or not a job offer is necessary by regarding the work time of a plurality of work types as the work time of one work type. Attachment 1 describes a job recommendation system.

[0098] (Appendix 10) The acquisition unit acquires measurement results from the plurality of user terminals. Attachment 1 describes a job recommendation system.

[0099] (Appendix 11) A job recommendation method executed by a job recommendation system, comprising: A process of acquiring measurement results of work time for each work type from a user terminal; A process of aggregating the work time for each work type for each predetermined time frame based on the measurement results; A process for determining whether or not a job offer is necessary based on the work time for each time slot; recommending time slots for work types determined to require recruitment; A job recommendation method including:

[0100] (Appendix 12) Job recommendation system, A process of acquiring measurement results of work time for each work type from a user terminal; A process of aggregating the work time for each work type for each predetermined time frame based on the measurement results; A process for determining whether or not a job offer is necessary based on the work time for each time slot; recommending time slots for work types determined to require recruitment; A program for executing a job recommendation method including the steps of:

[0101] The embodiments disclosed herein are illustrative in all respects and should not be considered as limiting. The scope of the present invention is indicated by the claims, not by the above meaning, and is intended to include all modifications within the meaning and scope of the claims. The present invention is not limited to the above-mentioned embodiments, and various modifications are possible within the scope of the claims, and embodiments obtained by appropriately combining the technical means disclosed in different embodiments are also included in the technical scope of the present invention. [Explanation of symbols]

[0102] 1: Job recommendation device 2: User terminal 121: Measurement result information 122: Aggregated information 123: Recommendation information 124: Employment Information 125: Job Information 131: Acquisition Department 132: Counting section 133: Judgment section 134: Recommendation Department 135: Recruitment Department

Claims

1. An acquisition unit that acquires measurement results of task time for each task type from a user terminal; a counting unit that counts the task time for each task type for each predetermined time frame based on the measurement results; A determination unit that determines whether or not a job offer is required for each type of work based on the work time for each time frame and the threshold value of the work time; a recommendation unit that recommends a time frame for a work type that is determined to require recruitment; Equipped with The recommendation unit recommends employment conditions according to the time frame of the work type based on employment information of the organization to which the user belongs and information indicating the employment conditions acquired from the job hunting device. Job recommendation system.

2. The measurement results are the results of a time study. The job recommendation system of claim 1 .

3. The time frame is set for each type of work. The job recommendation system of claim 1 .

4. The time frame has a certain time width according to the type of work. The job recommendation system of claim 1 .

5. The determination unit determines that a job offer is necessary when the work time for each time frame is equal to or greater than the threshold value. The job recommendation system of claim 1 .

6. The threshold is set for each type of work or each time frame. The job recommendation system of claim 1 .

7. Further provided with a display unit for displaying the contents of the recommendation The job recommendation system of claim 1 .

8. The determination unit determines whether or not a job offer is necessary by regarding the work time of a plurality of work types as the work time of one work type. The job recommendation system of claim 1 .

9. The acquisition unit acquires measurement results from the plurality of user terminals. The job recommendation system of claim 1 .

10. A job recommendation method executed by a job recommendation system, comprising: A process of acquiring measurement results of work time for each work type from a user terminal; A process of aggregating the work time for each work type for each predetermined time frame based on the measurement results; A process of determining whether or not a job offer is required for each type of work based on the work time for each time frame and the threshold value of the work time; recommending time slots for work types determined to require recruitment; Including, The recommendation process recommends employment conditions according to the time frame of the work type based on employment information of the organization to which the user belongs and information indicating the employment conditions acquired from the job hunting device. How to recommend jobs.

11. Job recommendation system, A process of acquiring measurement results of work time for each work type from a user terminal; A process of aggregating the work time for each work type for each predetermined time frame based on the measurement results; A process of determining whether or not a job offer is required for each type of work based on the work time for each time frame and the threshold value of the work time; recommending time slots for work types determined to require recruitment; Including, The recommendation process recommends employment conditions according to the time frame of the work type based on employment information of the organization to which the user belongs and information indicating the employment conditions acquired from the job hunting device. A program that implements the job recommendation method.

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