Job offer recommendation system, method, and program

Abstract

To provide a job offer recommendation system, method and program for recommending a job offer on the basis of a measurement result of a time study.SOLUTION: In a job offer recommendation system including a job offer recommendation device, a plurality of user terminals, and a job offer device that are communicably connected to each other via a network, a control unit of the job offer recommendation device includes an acquisition unit that acquires a measurement result of a work time for each work type from the user terminal, a totalization unit that totalizes the work time for each work type for each predetermined time frame based on the measurement result, a determination unit that determines whether or not a job offer is necessary based on the work time for each time frame, and a recommendation unit that recommends a time frame of the work type for which the job offer is determined to be necessary.SELECTED DRAWING: Figure 3

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 within a workplace, which is characterized by dividing the workplace into multiple small work sections, recording the work name and the name of the small work section for each worker in combination, and displaying the work name and the name of the small work section as parameters on a worker name-work time plane when aggregating the time study data. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2003-280726 Summary of the Invention [Problem to be solved by the invention]

[0004] Conventionally, the results of time studies have been used to improve business processes, but 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-mentioned 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 offer is necessary based on the work time for each time slot, and a recommendation unit that recommends time slots for work types that are determined to require a job offer. [Effects of the Invention]

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

[0008] [Figure 1] FIG. 1 is a diagram illustrating an example of the configuration of a job recommendation system 1000. [Figure 2] 1 is a diagram illustrating an example of a hardware configuration of an information processing device 100. FIG. [Figure 3] FIG. 2 is a diagram illustrating an example of a functional configuration of a job recommendation device 1. [Figure 4] FIG. 2 is a diagram illustrating an example of the functional configuration of a user terminal 2. [Figure 5] 1 is a flowchart illustrating an example of a job recommendation method. [Figure 6] FIG. 10 is a diagram showing an example of measurement result information 121. [Figure 7] FIG. 10 is a diagram illustrating an example of a counting method. [Figure 8] FIG. 10 is a diagram showing an example of a recommendation screen sc. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, each embodiment of the present invention will be described with reference to the accompanying drawings. Note that, in the description of the specification and drawings relating to 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 type of work that requires a long working time, i.e., that a job opening for a worker is required, and recommends a job opening 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 spent on each type of task 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 being conducted in a nursing home.

[0013] FIG. 1 is a diagram illustrating 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 communicably connected to each other via a network N. The network N is, for example, a wired local area network (LAN), 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. Furthermore, the job recommendation system 1000 does not necessarily include the job offer device 3. Hereinafter, the user terminals 2a and 2b will be 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 also 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] The user transmits the measurement results of the time study to the job recommendation device 1 via the user terminal 2 and receives job recommendations from the job recommendation device 1. The user may be, for example, a worker whose work time is measured in the time study or a person who measures the work time in the time study, but is not limited to this. The user may also conduct the 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 posts job vacancies online and accepts applications from job seekers. The job vacancy device 3 is, for example, but is not limited to, a PC, smartphone, tablet terminal, server device, or microcomputer. In the example of FIG. 1, the job vacancy device 3 is one information processing device, but may also 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 the hardware configuration of the information processing device 100. Fig. 2 is a diagram showing an example of the 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 loading various programs including an OS (Operating System) stored in the storage 103 into the memory 102 and executing the programs. The processor 101 is, for example, but not limited to, 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).

[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 read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a combination thereof. The RAM is, for example, but not limited to, a dynamic random access memory (DRAM) or a static random access memory (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 to these.

[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, an imaging 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 from and 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), an 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 to 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, we will explain 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 to and from 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 that indicates 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, a combination of the start time and end time of the task, or both.

[0031] The summary information 122 is information indicating the summary result of summarizing the work time for each work 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 time frame for the recommended job offer. 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 preset in the job recommendation system 1000, etc. 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 also 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 details, etc. of the organization.

[0034] The job information 125 is information relating 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 working in cooperation 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, an aggregation 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 frames for which it has been determined that job offers are necessary.

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

[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 some of the above functional configurations, with the user terminal 2 having 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 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, we will explain 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 working in cooperation 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 each worker for each task type. In other words, 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. Each functional configuration of the user terminal 2 may be realized by software, as described above, or by hardware such as an IC chip, SoC, LSI, or microcomputer.

[0050] <Job recommendation method> 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] The following description will be given by way of example in which a time study is conducted in a nursing care facility, the user is a staff member of the nursing care facility, and the user himself / herself conducts the time study using the user terminal 2. In other words, the user is both the worker and the measurer.

[0052] (Step S101) The user conducts 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 into 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, in record 001, the "task type" is eating, the "start time" is 12:03, and the "end time" is 13:14. This means that the user provided meal assistance from 12:03 to 13:14.

[0054] A user conducts such a time study for a predetermined period of time. The predetermined period may be, but is not limited to, one day, one week, or one month. It is also preferable for multiple users to conduct time studies at one business location.

[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 aggregation unit 132 aggregates the measurement results of users a and b based on the measurement result information 121 a and 121 b. More specifically, the aggregation unit 132 aggregates the task times of users a and b for each task type for each predetermined time slot based on the measurement results of users a and b. As an example, the aggregation method is as follows.

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

[0059] A time frame is an individual period of time having a predetermined time width that is used to determine whether or not a job offer is necessary. The time width of a time frame may be, for example, 30 minutes, 1 hour, 2 hours, or 1 day, but is not limited to these. 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 counting 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, each with a time span of one hour, are set between 9:00 and 19:00.

[0061] Figure 7(a) shows the work time for each task type for each time slot for user a on Monday, and Figure 7(b) shows the work time for each task type for each time slot for user b on Monday. The diagonally shaded vertical bars in Figures 7(a) and (b) indicate the work time for meal assistance. Figure 7(a) shows, for example, that user a performed two types of tasks, including meal assistance, from 12:00 to 1:00 p.m. on Monday, and that the meal assistance took approximately 45 minutes.

[0062] Next, the tallying unit 132 tally the working hours of users a and b for each day of the week by task type. The tallying method may be, for example, totaling or averaging, but is not limited to these. Figure 7(c) shows the average working hours of users a and b for meal assistance 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 tally information 122. Note that the tallying unit 132 may tally the work time for one day, instead of for each day of the week.

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

[0065] (Step S104) The determination unit 133 determines whether or not a job offer is necessary for each work type based on the aggregated information 122. For example, the determination unit 133 determines that a job offer is necessary when the aggregated work time for each time slot 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, or for each aggregation method (total or average), or thresholds set for each work type, time frame, and aggregation method may be used in combination. Furthermore, 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 aggregation information 122 of other establishments.

[0067] 7(c), the dotted lines indicate thresholds, and the threshold for each time slot for meal assistance is 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 vacancies are required for the time slot for meal assistance from 12:00 to 13:00, and that job vacancies are 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 multiple work types as work time of a single work type. In this case, a threshold value is set according to the combination of multiple work types. For example, when determining the work time of meal assistance and cleaning as work time of a single work type, 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 job offers to the user based on the determination result of the determination unit 133 in step S104. Specifically, the recommendation unit 134 stores information indicating the time frame of the work type for which the determination unit 133 has determined that a job offer is necessary as recommendation information 123 in the storage unit 12.

[0070] At this time, it is preferable that the recommendation unit 134 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. In this way, recommendation information 123 is generated that includes 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.) according to the type of work and time frame to be recommended to the job vacancy device 3, receive information indicating salary according 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 of the salaries of job offers with the same or similar employment conditions, or the average, mode, minimum, or maximum of the salaries of successful job offers with the same or similar employment conditions. The recommendation unit 134 may acquire information indicating multiple 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 apparatus 3 are not limited to salary. The recommendation unit 134 can acquire any employment conditions from the job vacancy apparatus 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 for the work type determined to require a job offer 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 receiving 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 content 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 count result sc4.

[0077] The job content 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. 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 a part-time job as a care assistant with an hourly wage of 2,000 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 aggregation result sc4 is aggregation information 122 corresponding to the recommended work type and time frame. By displaying the aggregation result sc4, the user can easily understand the reason why the job offer was recommended for that work type and time frame.

[0081] It should be noted that 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 saved in the storage unit 22 as job offer information 223.

[0083] (Step S109) When the user completes editing the job content sc1, the user selects the job button sc3. The job recruitment unit 233 transmits 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 saves it in the storage unit 12 as job information 125.

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

[0085] (Step S111) The recruitment device 3 carries out online recruitment 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 offer is necessary based on the work time for each time slot, and a recommendation unit 134 that recommends time slots for work types that have been determined to require a job offer.

[0087] With this configuration, job postings can be recommended to users based on the results of measuring the work time for each task type obtained through time studies. This allows users to post job postings for tasks and slots where there is a real 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 work time for each work 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 determined to require a job offer; A job recommendation system that includes:

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

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

[0092] (Appendix 4) The time frame has a certain time width depending on the type of work. The job recommendation system described in Appendix 1.

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

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

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

[0096] (Appendix 8) Further provided with a display unit that displays the contents of the recommendation The job recommendation system described in Appendix 1.

[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 work time of one work type. The job recommendation system described in Appendix 1.

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

[0099] (Appendix 11) A job recommendation method executed by a 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; A process of recommending time slots for work types determined to require recruitment; Job recommendation methods 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; A process of recommending time slots for work types determined to require recruitment; A program for executing a job recommendation method including:

[0101] The embodiments disclosed herein are illustrative in all respects and should not be considered limiting. The scope of the present invention is defined by the claims, not by the above meaning, and is intended to include all modifications within the meaning and scope of the claims. Furthermore, the present invention is not limited to the above-described embodiments, and various modifications are possible within the scope of the claims. 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: Aggregate 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 work time for each work 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 determined to require a job offer; A job recommendation system that includes:

2. The measurement results are the measurement 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 depending on 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 a 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. The recommendation unit recommends employment conditions according to the time frame of the work type based on pre-registered employment information. The job recommendation system of claim 1 .

8. Further provided with a display unit that displays the contents of the recommendation The job recommendation system of claim 1 .

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. The job recommendation system of claim 1 .

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

11. A job recommendation method executed by a 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; A process of recommending time slots for work types determined to require recruitment; Job recommendation methods including.

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; A process of recommending time slots for work types determined to require recruitment; A program for executing a job recommendation method including:

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