TWI557651B - Method for processing job information - Google Patents

Description

Job information processing method

The present invention relates to a job information processing method, and in particular to a job information processing method related to a recommended job.

With the progress of the times, the workplace ecology is becoming more diversified. In the past, when I wanted to assist or suggest the career planning, I had to analyze the personality traits, values, sexual orientation and interests through psychological tests, and then consider the conditions and expertise of the real world. Finally, I used the consultation to establish my position. Planning. Among them, the above methods need to integrate various materials through professional consultation staff to provide users with suggestions for career planning. In addition, the above methods need to be carried out through many tests. Therefore, the quality of each test design is affected by the statistical analysis related to the test. On the one hand, it takes a lot of cost to obtain a sample of sufficient quality, on the other hand, there is still the problem of not being able to take into account the individual variability. In addition, the work content of various positions is more and more diversified, and the existing career planning methods are also limited by the existing professional resources, and can not provide sufficient services to the vast number of users.

Therefore, how to give appropriate job planning advice in response to diversified job content is one of the current important research and development topics, and it has become an urgent need for improvement in related fields.

Therefore, one aspect of the present invention is to provide a job information processing method for analyzing the corresponding attributes of a job title as a basis for recommending a job. The job information processing method includes the following steps:

(a) receiving at least one information from a client who has performed a job.

(b) Analyze information that has been engaged in a job to classify a previously engaged job as at least one corresponding job attribute.

(c) Provide a map of the career path. The job path development map stores a plurality of attribute association values between a plurality of preset job attributes.

(d) According to the corresponding job attribute, query the career path development map to obtain and output one of the corresponding job attributes to recommend the career path to the client. Wherein, the recommended career path includes at least one recommended position.

The application of the present invention has the following advantages. The client user can plan his next job search plan based on the recommended job path. In addition, even if the job definitions of different company positions are different, more precise job attributes can be given as a basis for making recommendations. In other words, even if you do not conduct analysis through a professional, you can give appropriate job recommendations.

The spirit and scope of the present invention will be apparent from the following description of the preferred embodiments of the invention. The spirit and scope of the invention are not departed.

Please refer to FIG. 1 , which is a flowchart of a job information processing method according to an embodiment of the present invention. In the job information processing method, the corresponding attributes of the job positions are analyzed to be used as the basis for the recommended positions. The job information processing method can be implemented as a computer program and stored in a computer readable recording medium, and the computer reads the recording medium and executes the job information processing method. Computer-readable recording media can be read-only memory, flash memory, floppy disk, hard disk, optical disk, flash drive, tape, network accessible database or familiar with the art can easily think of the same The function of the computer can read the recording media.

The job information processing method 100 includes the following steps:

In step 110, at least one of the users of the user has received information about the job. Among them, the information on the position of the user may include the name of the job in which the user has been engaged in the job, the job class in which the user has been engaged in the job, the work content of the user who has been engaged in the job, or other information that the user has engaged in the job. The client can be a computer, a server, a smart phone, a digital assistant, a notebook computer, or other type of electronic device. In one embodiment of step 110, information about the job has been received from the client via the Internet. In another embodiment of step 110, the user of the client can enter information about his or her position through an input component (such as a mouse, keyboard, graphical interface, or other type of input component) for receiving in step 110. .

In step 120, information about the user's position in the job is analyzed to classify the previously engaged job as at least one corresponding job attribute.

In step 130, a career path development map is provided. The job path development map stores a plurality of attribute association values between a plurality of preset job attributes. The attribute association value between the preset job attributes may be an attribute association support (Support), an attribute association reliability (Confidence), a total number of attribute association times, or other types of attribute association values between preset job attributes. In addition, the corresponding job attribute analyzed in step 120 is selected from a preset job attribute.

In step 140, according to the corresponding job attribute, the career path development map is queried to obtain a recommended career path for the corresponding job attribute. Wherein, the recommended career path includes at least one recommended position. In addition, when the recommended job path includes several recommended positions, each recommended job has a sequence for the user to use as a reference for subsequent work conversion.

In step 150, the recommended job path is output to the client for provision to the client of the client. In one embodiment of step 150, the recommended job path is output to the client over the Internet. In another embodiment of step 150, the recommended job path can be transmitted to the client by an electrical signal. In other embodiments of step 150, the recommended job path may be output to the client by other means. Next, the client can provide the recommended job path to its users by displaying, printing, or otherwise. Therefore, the user of the client can plan his next job search plan according to the recommended job path. In addition, even if the job definitions of different company positions are different, the classification by step 120 can still give more accurate job attributes as a basis for making recommendations. In other words, even if you do not conduct analysis through a professional, you can give appropriate job recommendations.

In addition, the job information processing method 100 can further update the career path development map based on the information that has been received from the client. Therefore, the information that a user has engaged in a job may include several information about the job and the order in which the user is engaged. Then, in step 160, the career path development map can be updated according to the information that the user has engaged in the job and the order in which the user is engaged. In another embodiment of the invention, the updating of step 160 may be performed every predetermined period. In still another embodiment of the present invention, the update of step 160 may be performed when the user updates the information of the position in the resume.

In one embodiment of step 160, at least one of the similar job attributes that the user has engaged in may be obtained. Then, according to the order of the job, the attribute associated value between the similar job attributes in the career path development map can be updated. For example, when the user has been engaged in marketing planning and execution of production, the similar job attributes of the marketing plan can be obtained as marketing planners, and the similar job attributes of the executive production can be obtained for the program producers and the media plan. personnel. Then, in the following, the career path can be expanded into a map, and the marketing planner can be converted into a program producer, and the attribute associated value converted by the marketing planner into a media planner is improved, and the update is completed.

In one embodiment of step 120, keywords related to the user's previous position may be found first, and a similar resume is found based on the keywords to analyze the job attributes of the user who has engaged in the job. Please refer to FIG. 2, which is an embodiment of step 120 of FIG. 1. Analyzing information that has been engaged in a job to classify a previously engaged job in at least one corresponding job attribute (step 120) may include:

In step 121, a plurality of job keywords and at least one similar job category are obtained based on the information that the user has engaged in the job. For example, the most similar words can be found from a plurality of preset keywords and a plurality of preset job categories, as job keywords and similar job categories.

In step 122, a number of similar resumes including the above job keywords are searched for. In an embodiment of the present invention, the plurality of resumes stored may be searched for whether the other fields on the autobiography or resume include the job title to filter out similar resumes.

In step 123, a plurality of recommended resumes belonging to the similar job category are filtered from the similar history. The filtering in step 123 can be performed on the autobiography or resume in the similar resume by Support Vector Machines (SVM), Bayes classifier, classification tree or other classification methods. Other fields to filter out a number of recommended resumes belonging to similar job categories.

In step 124, the recommended resume is analyzed to obtain the corresponding job attribute. In an embodiment of step 124, the number of times the keyword related to the preset job attribute appears in the recommendation history may be analyzed, and the step 124 is used as the basis for obtaining the corresponding job attribute. For example, the most frequently used keyword in the preset job attribute may be selected as the corresponding job attribute. However, in other embodiments, the recommendation history may be analyzed by weight calculation or other numerical methods to obtain corresponding job attributes, and is not limited to the disclosure. In this way, the corresponding job attributes can be more accurately classified by other similar resumes. In addition, as the number of searchable resumes increases, the analyzed job attributes are more suitable for a variety of different types of positions.

In addition, in an embodiment of the present invention, step 140 may also generate a career path development map based on the analyzed recommendation history as a basis for recommending a job. Please refer to FIG. 3, which is an embodiment of step 140 of FIG. Therefore, step 140 can include the following steps:

In step 141, based on information about the position, a plurality of job keywords and at least one similar job category are obtained.

In step 142, a number of similar resumes containing the job keywords are searched.

In step 143, a plurality of recommended resumes belonging to the similar job category are filtered from the similarity history.

In step 144, the recommended resume is analyzed to obtain a plurality of recommended job attributes in the recommended history.

In step 145, based on the recommended job attribute of the recommended profile, the career path development map is generated immediately. In an embodiment of step 144, the number of times the keyword associated with the preset job attribute appears in the recommendation history may be analyzed for use as the basis for generating the career path development map. For example, the attribute association value may be calculated according to the number of occurrences of the keyword related to each preset job attribute in the recommendation history (such as the attribute association support degree between the preset job attributes, the attribute association reliability, the total number of attribute association times, or the like). Type attribute associated value) to instantly generate a career path expansion map.

Then, in step 146, in the career path development map, the attribute value having the largest attribute value with the similar job category is selected as the recommended position.

In another embodiment of the present invention, the information of the user's target position may be further received from the client, and another step of obtaining the recommended career path is obtained as step 140. Further, in step 140, according to the corresponding job attribute and the information of the target position, the recommended career path with the starting point being the corresponding job attribute and the ending point being the target position may be obtained. In an embodiment of the present invention, the attribute association value between each preset job attribute in the career path development map may be converted by a reciprocal or other numerical method, so that the higher the associated position is, the higher the associated position is. The lower the association value between attributes, the lower the relevance, the higher the association value between the preset job attributes. Therefore, the Dijkstra's algorithm or other shortest path algorithm can be used to find the lowest sum of the associated values after the conversion, and the starting point is the path corresponding to the job attribute and the end point is the target position, as the recommended job path. . In another embodiment of the present invention, the longest path algorithm can be used to find the highest sum of attribute association values, and the starting point is the recommended job path corresponding to the job attribute and the end point is the target job. In this way, the user of the client can step by step toward his career goal according to the recommended job path.

It will be apparent from the above-described embodiments of the present invention that the application of the present invention has the following advantages. The client user can plan his next job search plan based on the recommended job path. In addition, even if the job definitions of different company positions are different, more precise job attributes can be given as a basis for making recommendations. In other words, even if you do not conduct analysis through a professional, you can give appropriate job recommendations.

Although the present invention has been disclosed in the above embodiments, it is not intended to limit the present invention, and the present invention can be modified and modified without departing from the spirit and scope of the present invention. The scope is subject to the definition of the scope of the patent application attached.

100. . . Job information processing method

110~160. . . step

The above and other objects, features, advantages and embodiments of the present invention will become more apparent and understood.

1 is a flow chart of a job information processing method according to an embodiment of the present invention.

Figure 2 is an embodiment of step 120 of Figure 1.

Figure 3 is an embodiment of step 140 of Figure 1.

100. . . Job information processing method

110~160. . . step

Claims (8)

A method for processing job information, comprising: (a) receiving at least one information about a job from a client; and (b) analyzing information about the job title to classify the former job title in at least one corresponding job attribute; (c) providing a career path development map, wherein the career path development map stores a plurality of preset attribute attributes between the plurality of preset job attributes, wherein the step (c) comprises: by the Dexter algorithm ( Dijkstra's algorithm), find the lowest sum of the associated values after the conversion, and the starting point is the corresponding job attribute, the end point is the path of the target position, as the recommended job path; and (d) according to the corresponding job attribute, query the career path development map To obtain and output one of the corresponding job attributes to recommend the career path to the client, wherein the recommended career path includes at least one recommended position. The job information processing method of claim 1, wherein the at least one job information includes a plurality of information about the job and one of the positions in which the job was performed, and the job information processing method further includes: e) update the career path development map based on the information about the positions that have been performed and the order in which the duties are performed. The job information processing method according to claim 2, wherein the step (e) comprises: Obtaining at least one similar job attribute of each of the positions that have been engaged in the job; and updating the attribute-related value between the similar job attributes in the job path development map according to the job order. The job information processing method according to claim 3, wherein the number of the at least one similar job attribute of each of the positions that have been engaged in the job is plural. The job information processing method of claim 1, wherein the step (d) comprises: obtaining a plurality of job keywords and at least one similar job category according to the information of the job title; searching for plural numbers including the job keywords a similar resume history; filtering the plurality of recommended resumes belonging to the similar job category from the similar resumes; analyzing the recommended resumes to obtain a plurality of recommended job attributes of the recommended resumes; and the recommendations according to the recommended resumes The job attribute instantly generates the career path development map; and selects the career path path expansion map, and the attribute association value between the similar job category is the largest, as the recommended position. The job information processing method described in claim 1 further includes: Receiving information of a target job from the client, wherein the step (d) includes: querying the career path development map according to the corresponding job attribute and the information of the target job, to obtain the recommended career path, wherein the recommendation job The starting point of the end path is the corresponding job attribute, and the end point of the recommended career path is the target position. The job information processing method of claim 1, wherein the information about the job is received through the Internet. The job information processing method of claim 1, wherein the information about the job is received through an input component.