CN107004167A - Recruit through open public examination standardization and data de-duplication - Google Patents

Abstract

Describe for from third party system obtain it is non-paid recruit through open public examination be standardized and data de-duplication technology.Non-paid recruit through open public examination is obtained from third party system by social networking service.The non-paid position recruited through open public examination and description, which are standardized and be combined into, standardizes non-paid recruit through open public examination.Data de-duplication process is performed to prevent non-paid recruit through open public examination of the standardization from substituting the paying in the social networking service and recruit through open public examination, and prevents the standardization is non-paid from recruiting through open public examination substitute in the social networking service more authoritative and non-paid recruit through open public examination.

Description

Open Recruitment Standardization and Deduplication

priority claim

This PCT application claims the benefit of priority to U.S. Patent Application No. 14/502,224, filed September 30, 2014, entitled "JOB POSTING STANDARDIZATION AND DEDUPLICATION," and claims the 2014 Priority benefit of U.S. Patent Application No. 14/502,261, filed September 30, 2009, entitled "JOB POSTING STANDARDIZATION AND DEDUPLICATION," both applications incorporated by reference in their entirety into this article.

technical field

The present invention generally relates to data processing systems for hosting open jobs and, in some embodiments, to techniques for normalizing and deduplicating data for open jobs residing on disparate third-party systems.

Background technique

In a typical job hosting service, a company representative posts an opening to the job hosting service so that users of the job hosting service can search, browse, and in some cases, apply for jobs associated with the particular opening. In exchange for being able to present the open job to users of the job hosting service, the company posting the open job will typically pay some fee.

Description of drawings

Some embodiments are illustrated by way of example and not limitation in the various figures of the drawings.

Figure 1 is a network diagram illustrating a network environment suitable for social networking services, according to some example embodiments.

Figure 2 is a block diagram illustrating components of a social networking system according to some example embodiments.

3A is a flowchart illustrating the operation of a job capture module and a job normalization module in performing a method for normalizing open job offers obtained from third-party systems, according to some example embodiments.

3B is a flowchart illustrating optional operations of a job normalization module in performing a method for normalizing open job offers obtained from a third-party system, according to some example embodiments.

4A is a diagram illustrating a job deduplication module, and optionally a job capture module and/or a job normalization module, when performing a method for deduplicating open job offers obtained from a third-party system, according to some example embodiments. A flowchart of the operation.

4B is a flowchart illustrating optional operation of a job deduplication module in performing a method for deduplicating open job offers obtained from a third-party system, according to some example embodiments.

Figure 5 is a block diagram illustrating an example of a machine on which one or more embodiments may be implemented.

detailed description

The present invention describes methods, systems, and computer program products that separately provide a job hosting service that provides varying levels of service to paid and unpaid open job offers (sometimes referred to as job postings). In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of various aspects of the presently disclosed subject matter. It will be apparent, however, to one skilled in the art that the presently disclosed subject matter may be practiced without these specific details. In other instances, well-known methods, procedures, and components have not been described in detail so as not to obscure the presently disclosed subject matter.

According to some embodiments, the job hosting service (eg, associated with the social networking system) hosts both paid and unpaid open jobs. For example, through the job hosting service's job openings module, users of the job hosting service can provide information about specific job openings and generate paid job openings. An open job offer typically consists of the name of the company or organization where the job opening is available, the job title of the job opening, a description of the job function, required or suggested skills, education, and certifications and/or specializations. In exchange for paying some fees, Paid Open Jobs will be eligible to be presented to users (for example, persons with social networking systems with which the job hosting service integrates).

In some embodiments, the job hosting service may host paid open jobs and unpaid open jobs. In some cases, paid job openings may be listed directly on the job hosting service, while unpaid job openings may be received from third-party systems. However, the data format of the open positions received from the third-party system may not match the data format used by the job hosting service for its open positions. Additionally, an open job received from a third-party system may represent an open job that has been listed by the job hosting service.

In addition to paid open jobs, job hosting services can ingest open jobs from various externally hosted third-party job sites. In some embodiments, an automated computer program (eg, a "bot" or "spider") automatically "crawls" relevant Internet sites and finds open jobs for ingestion. In some embodiments, open jobs are obtained from data feeds maintained by one or more third-party partners. The job hosting service stores or causes another entity to store both paid and unpaid job openings on its behalf, i.e., job openings that have been generated through the job opening module and for which a fee has been paid to the social networking system Open jobs and open jobs obtained from third-party websites for which no payment has been made to the social networking system.

In some embodiments, unpaid open jobs are only eligible for presentation to personnel of the social networking service through the job search interface. As such, unpaid or free open jobs will generally only be presented to social networking service personnel who may be referred to as "active candidates" or "aggressive job seekers." These active job seekers are people who are usually actively involved in finding new employment opportunities. Paid open jobs are also eligible to be presented to personnel of the social networking service through the search interface, but also through a variety of other channels. For example, a job recommendation engine may match a person's profile to an open job with the goal of presenting relevant job openings (ie, those that may be of interest to the person) to the person of the social networking service based on the person's profile data.

In some embodiments, the data format of an open job received from a third-party system may not match the data format used by the social networking system's job hosting service for its open job. In such embodiments, the job hosting service normalizes open offers received from third-party systems such that the open offers can be integrated into the job hosting service.

In some embodiments, the open job received from the third party system represents an open job that has been integrated into the job hosting service. In such embodiments, the job hosting service performs open job deduplication and, if it determines that the new open job is superior (e.g., more authoritative) to the integrated open job, replaces the integrated open job with the new open job open recruitment.

The various operations of the example methods described herein may be performed at least in part by one or more processors that are either temporarily configured (eg, by software instructions) or permanently configured to perform the associated operations. Whether temporarily or permanently configured, such a processor may constitute a processor-implemented module or object for performing one or more operations or functions. In some example embodiments, the modules and objects referred to herein may include processor-implemented modules and/or objects.

Similarly, the methods described herein may be at least partially processor-implemented. For example, at least some of the operations of a method may be performed by one or more processors or processor-implemented modules. The execution of certain operations may be distributed among one or more processors, not only residing within a single machine or computer, but deployed across multiple machines or computers. In some example embodiments, one or more processors may be located in a single location (e.g., within a home environment, office environment, at a server farm, etc.), while in other embodiments, the processors may span multiple locations distributed.

One or more processors may also be used to support the performance of related operations in a "cloud computing" environment or within the context of software as a service ("SaaS"). For example, at least some of the operations may be performed by a group of computers (e.g., a machine including a processor) over a network (e.g., the Internet) and through one or more suitable interfaces (e.g., an application program interface (API)) access.

Figure 1 is a network diagram illustrating a network environment 100 suitable for social networking services, according to some example embodiments. Network environment 100 includes server machine 110 , database 115 , and devices 150 for users 152 , all communicatively coupled to each other through network 190 . Server machine 110 may form all or part of network-based system 105 (eg, a cloud-based server system configured to provide one or more services to devices 130 and 150 ). Database 115 may store open jobs for social networking services. The server machine 110, the first device 130 and the second device 150 may each be fully or partially implemented in a computer system, as described below with respect to FIG. 5 .

Also shown in FIG. 1 is user 152 . User 152 may be a human user (e.g., a human), a machine user (e.g., a computer configured by a software program to interact with device 150), or any suitable combination thereof (e.g., a human assisted by a machine or a machine supervised by a human) . User 152 is not part of network environment 100 , but is associated with device 150 . In some embodiments, device 150 is a desktop computer, vehicle computer, tablet computer, navigation device, portable media device, smartphone, or wearable device (eg, smart watch or smart glasses) operated by user 152 .

Any of the machines, databases, or devices shown in FIG. 1 can be implemented in a general-purpose computer modified (e.g., configured or programmed) by software (e.g., one or more software modules) as a special-purpose computer to execute the One or more of the functions described herein of said machine, database or device. For example, a computer system capable of implementing any one or more of the methods described herein is discussed below with respect to FIG. 5 . As used herein, a "database" is a data storage resource and may store data structured as text files, tables, spreadsheets, relational databases (e.g., object-relational databases), triple stores, hierarchical data stores, or any suitable combination of data. Furthermore, any two or more of the machines, databases, or devices illustrated in Figure 1 may be combined into a single machine, and the functionality described herein for any single machine, database, or device may be implemented on multiple machines , database or device segment.

Network 190 may be any network that enables communication between or among machines, databases, and devices (eg, server machine 110 and device 130 ). Accordingly, network 190 may be a wired network, a wireless network (eg, a mobile or cellular network), or any suitable combination thereof. Network 190 may comprise one or more portions that constitute a private network, a public network (eg, the Internet), or any suitable combination thereof. Thus, network 190 may comprise a local area network (LAN), a wide area network (WAN), the Internet, a mobile telephone network (e.g., a cellular network), a wired telephone network (e.g., a Plain Old Telephone System (POTS) network), a wireless data network (eg, WiFi® or WiMax® networks) or any suitable combination thereof. Any one or more portions of network 190 may communicate information over transmission media. As used herein, "transmission medium" means any intangible (e.g., transitory) medium capable of conveying (e.g., transporting) instructions for execution by a machine (e.g., by one or more processors of the machine), and includes digital or analog communication signals or other intangible media to facilitate communications with this software.

Figure 2 is a block diagram illustrating components of a social networking system 210, according to some example embodiments. Social networking system 210 is an example of web-based system 105 of FIG. 1 . In some embodiments, social networking system 210 includes job capture module 202, application server module 204, job normalization module 206, and job deduplication module 208, all of which are configured to communicate with each other (e.g., via an interconnect, bus, shared memory, switches, etc.).

Although FIG. 2 illustrates open job database 220 as a single database, open job database 220 may comprise multiple databases, which may be located in one location or in multiple locations. Similarly, although FIG. 2 illustrates the open job database 220 as distinct from the social networking system 210 , in some embodiments the open job database 220 is incorporated within the social networking system 210 .

In some embodiments, the job capture module 202 captures, receives or otherwise obtains open job offers from the third party system 170 . As depicted in FIGS. 3A and 3B , in some embodiments, the job normalization module 206 normalizes open jobs prior to integrating the open jobs into the open job database 220 . As depicted in FIGS. 4A and 4B , the job deduplication module 208 integrates the open offers into the open offer database 220 if this integration does not result in a poor open offer to replace a good open offer.

In some cases, job capture module 202 , job normalization module 206 , and/or job deduplication module 208 are configured to process data offline and/or periodically. For example, the job capture module 202 may comprise a server that periodically retrieves open jobs from relevant third-party Internet sites. Normalizing and deduplicating third-party open jobs can be computationally intensive; therefore, work normalizing and/or deduplicating can be done offline.

As will be further described with respect to FIGS. 3A-3B , job capture module 202 in conjunction with job normalization module 206 may obtain and normalize unpaid open jobs for integration into open job database 220 .

Any one or more of the modules described herein may be implemented using hardware (eg, one or more processors of a machine) or a combination of hardware and software. For example, any module described herein may configure a processor (eg, within one or more processors of a machine) to perform the operations described herein for that module. Furthermore, any two or more of these modules may be combined into a single module, and functionality described herein for a single module may be subdivided among multiple modules. Furthermore, modules described herein as being implemented within a single machine, database or device may be distributed across multiple machines, databases or devices, according to various example embodiments.

In some embodiments, open job posting database 220 contains a set of predefined job titles identified by job hosting services. For example, the set of predefined job titles may include job titles such as "customer manager", "system engineer", "sales manager" and so on. In some embodiments, open job posting database 220 contains a set of predefined job seniority levels identified by job hosting services. For example, the set of predefined job seniority levels may include seniority levels such as "intern," "junior," "intermediate," "senior," "management," "manager," and the like.

3A is a flowchart illustrating the operation of the job capture module 202 and the job normalization module 206 in performing a method 300 for normalizing open job offers obtained from third-party systems, according to some example embodiments. The operations in method 300 may be performed by network-based system 105 using the modules described above with respect to FIG. 2 . As shown in FIG. 3A , method 300 includes operations 302 , 304 , 306 , 308 , and 310 .

By obtaining and normalizing job openings from third-party systems, the job hosting service of social networking system 210 may present job openings to its users from other job sources in addition to the job openings that the social networking system pays to present to its users.

At operation 302 , a first entity (eg, the job hosting service of the social networking system 210 ) obtains (eg, using the job capture module 202 ) data representing open job offers on the third party system 170 . Open jobs include job titles and job descriptions. In some embodiments, the open job offer also includes at least one of the following: employer name, hiring industry, geographic location of the job, and required skills.

At operation 304, the open job titles are normalized (eg, using the job normalization module 206) to match predefined job titles identified by the first entity. In some embodiments, one or more operations 352 through 362 of method 350 illustrated in FIG. 3B are performed as part of a job title normalization process.

At operation 306, the job description is standardized to conform to the data format identified by the first entity. In some embodiments, normalizing the job description includes performing spell checking/correction and/or grammar checking/correction on the job description.

At operation 308, the standardized job title and the standardized job description are combined into a standardized open job offer. In some embodiments, additional information such as metadata is also included in the standardized open job offer.

At operation 310, the standardized open job offer is integrated into a recruiting system (eg, a job hosting service) of a first entity (eg, social networking system 210). In some embodiments, a job deduplication process (eg, method 400 of FIG. 4A ) is performed on the standardized open offers prior to integration of the standardized open offers.

3B is a flowchart illustrating optional operations of the job normalization module 206 in performing a method 350 for normalizing open job offers obtained from a third-party system, according to some example embodiments. The operations in method 350 may be performed by network-based system 105 using the modules described above with respect to FIG. 2 . As shown in FIG. 3B , method 350 includes operations 352 , 354 , 356 , 358 , 360 , 362 , 364 , and 366 .

At operation 352, undesirable characters appearing in the job title are cleaned. For example, in some embodiments, periods are undesirable in job titles. If the job title in an open job posting is "S.E. in San Francisco, C.A.", removing the period will result in a modified job title of "SE in San Francisco, CA." In some embodiments, undesired characters are cleaned by a regular expression applied to the job title.

At operation 354, the geographic location is determined within and cleared from the job title. For example, if the job title input to this operation is "SE in San Francisco,CA", the output job title will be "SE".

At operation 356, the word or phrase recognized by the first entity is substituted for the abbreviation within the job title when representing the abbreviation. For example, if the job title entered into this action is "SE", the job title would be "Systems Engineer".

In some embodiments, abbreviations are disambiguated using context within the job title and/or context within the job description. In some embodiments, abbreviations are disambiguated by referring to multiple occurrences of words within the job description. For example, the abbreviation "SE" may represent predefined job titles such as "systems engineer", "sales engineer", "sports news editor", "cleaner", "structural engineer", "senior engineer", etc. In some embodiments, if a potential match to a predefined job title occurs within the job description, this increases the probability that this potential match is a correct match.

At operation 358, the words of the job title are separated into lists of words. For example, if the job title input to this operation is "system engineer", then the output of this operation will be a list of the words "system" and "engineer".

At operation 360, all possible permutations of the words in the word list are generated. For example, if the list of words is "system" and "engineer", then the possible permutations would be "system engineer" and "system engineer".

At operation 362, the permutation of words is selected as the standardized job title that most closely matches the at least one predefined job title identified by the first entity. For example, if the possible permutations are "systems engineer" and "engineer systems," then "systems engineer" would be chosen as the standardized job title.

At operation 364, a job title number corresponding to the standardized job title is determined. For example, if the standardized job title is "systems engineer," then the corresponding job title number within the specific job hosting service may be 525.

Additionally, at operation 364, a job seniority level corresponding to the job title number is determined. For example, the job seniority level corresponding to the job title number 525 of "system engineer" may be "intermediate".

At operation 366, the job title number and job seniority level are included in the standardized open job offer. In some embodiments, the job title number and job seniority level are included in the standardized open jobs before they are integrated into the open job database 220 .

4A is a diagram illustrating the job deduplication module 208, and optionally the job capture module 202 and/or job A flowchart of the operation of the normalization module 206 . The operations in method 400 may be performed by network-based system 105 using the modules described above with respect to FIG. 2 . As shown in FIG. 4A , method 400 includes operations 402 , 404 , 406 , 408 , 410 , and 412 .

By de-duplicating postings from third-party systems, the job hosting service of social networking system 210 can organize duplicate postings from presenting the same job to its users.

At operation 402 , optionally, a first entity (eg, the job hosting service of the social networking system 210 ) obtains (eg, using the job capture module 202 ) data representing open job offers on the third party system 170 . In some embodiments, the open job offer includes at least one of the following: job title, job description, employer name, hiring industry, geographic location of the job, and required skills. In some embodiments, operation 402 of method 400 is substantially similar to operation 302 of method 300 .

At operation 404, the openly advertised job titles are optionally normalized (eg, using the job normalization module 206) to match predefined job titles identified by the first entity. In some embodiments, one or more operations 352 through 362 of method 350 illustrated in FIG. 3B are performed as part of a job title normalization process.

At operation 406, a first source value is assigned to the standardized open job offer. In some embodiments, the first source value is determined at least in part by the source type of the third party system. For example, in some embodiments, three third-party source types are identified: a job employer's website, an electronic applicant tracking system (ATS), and an e-recruitment website. Examples of ATS include Taleo®, ADP®, and the like. Examples of e-recruitment sites include Monster.com®, Indeed®, Craigslist®, and others.

In some embodiments, there is a hierarchy of source types. For example, a job employer's website is considered the highest in the source type hierarchy, electronic ATS is considered the second highest in the source type hierarchy, and an e-recruitment website is considered the lowest in the source type hierarchy. Therefore, an open job offer obtained from an employer's own website has a higher source value than an open job offer obtained from an electronic ATS, which in turn has a higher source value than an open job obtained from an electronic recruitment website.

Additionally, the source value can be different for open jobs obtained from sources within the same source type. For example, an open job obtained from dice.com may have a higher source value than an open job obtained from Craigslist®. In some embodiments, an administrator of the job hosting service can assign source values to different types of sources (eg, through a user interface).

At operation 408, a hash value of the standardized job opening is generated and assigned to the standardized job opening. In some embodiments, hash values are generated based on standardized job titles, geographic locations, and employer names.

In some embodiments, methods of comparing data other than hashing are used, such as checksums, statistical analysis methods, and machine learning methods, such as neural networks or other supervised learning methods.

At operation 410 , it is determined whether an open job substantially similar to the standardized open job exists in the job hosting service of the social networking system 210 . In some embodiments using hashing, this determination is made by comparing the hash value to a plurality of hash values for open jobs within the job hosting service of the social networking system 210, generated at operation 408 for a standardized open job. The hash value.

In some embodiments using hashing, a standardized open job and an integrated open job are considered to be substantially similar. In some embodiments, a comparison of the text of the job descriptions of the two open offers is performed if the hash values of the standardized open offers sufficiently match the hash values of the open offers that have been integrated into the job hosting service. In some embodiments, comparing involves calculating or comparing calculated similarity measures of two open jobs. For example, the Jaccard similarity coefficient can be used to compare the similarity between two open job offers.

In some embodiments that use comparison methods other than hashing, different comparison techniques may be used to determine substantial similarities between open job offers. For example, a comparison of similar attributes of job openings and/or keywords within job openings may be performed to determine a number of similarities.

In some embodiments, if the standardized open job and the integrated open job are substantially similar, the open job with the highest source value is stored in the job hosting service, and the open job with the lower source value is discarded. In the case of two open jobs with the same source value, the oldest open job will be saved.

In some embodiments, if the standardized open job and the integrated open job are substantially similar, both open jobs are saved and the open job to display to the user is determined when the open job is displayed or just before the open job is displayed. For example, if when showing an opening for a specific job, the paid opening for the job has expired and the paid opening has not been previously shown to the user, then the standardized opening will actually be shown. If an due paid job opening was previously displayed to the user, then the due paid job opening is displayed to the user as a job-specific job opening.

In some embodiments, the standardized opening is integrated into the job hosting service if it is determined that no substantially similar openings exist in the job hosting service.

At operation 412, a substantially similar open job is replaced with a standardized open job within the job hosting service. In some embodiments, the substitution is performed in response to the substantially similar open offer being identified as not being a paid open offer and the source value of the normalized open offer being greater than the source value of the substantially similar open offer in the job hosting service. Substitution when these conditions are met prevents unpaid job openings from replacing paid job openings within the job hosting service, and prevents less authoritative unpaid job openings from replacing more authoritative unpaid job openings within the job hosting service.

FIG. 4B is a flowchart illustrating optional operations of the job deduplication module 208 in performing a method 450 for deduplicating open job offers obtained from a third-party system, according to some example embodiments. The operations in method 450 may be performed by network-based system 105 using the modules described above with respect to FIG. 2 . As shown in FIG. 4B , method 450 includes operations 452 and 454 .

At operation 452, it is determined that the substantially similar job opening is a paid job opening. In some embodiments, this determination is made by at least one customer of the social-networking system 210 based at least in part on whether the social-networking system 210 receives compensation to present at least one user 152 of the job-hosting service of the social-networking system 210 with a substantially similar open recruitment. In some embodiments, this determination is made to prevent unpaid open jobs from replacing paid open jobs within the job hosting service of the social networking system 210 .

At operation 454 , the standardized open job openings are presented to the user 152 of the social networking system 210 after receiving the relevant job search submitted by the user 152 . In some embodiments, a user 152 of the social networking system 210 submits a job search within the social networking system 210 . In such a system, social-networking system 210 presents user 152 with a set of open jobs related to a submitted job search. In some embodiments, the open jobs presented may include paid open jobs, unpaid open jobs, or some combination thereof.

5 illustrates a block diagram of an example machine 500 on which any one or more of the techniques (eg, methods) discussed herein may be performed. In alternative embodiments, machine 500 may act as a standalone device or may be connected (eg, networked) to other machines. In a networked deployment, the machine 500 can operate in the capacity of a server machine, a client machine, or both in a server-client network environment. In an example, machine 500 may act as a peer machine in a peer-to-peer (P2P) (or other distributed) network environment. Machine 500 may be a personal computer (PC), tablet PC, set-top box (STB), personal digital assistant (PDA), mobile phone, network appliance, network router, switch or bridge, or be capable of executing (in sequence or otherwise) Any machine that specifies instructions for actions to be taken by said machine. Furthermore, while a single machine is illustrated, the term "machine" shall also be taken to include a set (or multiple sets) of instructions which individually or jointly execute to perform any one or more of the methodologies discussed herein (e.g. , cloud computing, software as a service (SaaS), other computer cluster configurations) any collection of machines.

As described herein, an instance may contain logic or multiple components or mechanisms, or may be operated by logic or multiple components or mechanisms. A circuit group is a collection of circuits implemented in a tangible entity comprising hardware (eg, simple circuits, gates, logic, etc.). Circuit group membership can be flexible over time and underlying hardware variability. A circuit group contains members that, when operated, can individually or in combination perform specified operations. In an example, the hardware of the circuit pack may be permanently designed (eg, hardwired) to perform a particular operation. In an example, the hardware of a circuit pack may consist of variably connected physical components (e.g., execution units, transistors, simple circuits, etc.) that contain physically modified (e.g., magnetic , electrically removable placement, etc.) to encode instructions for specific operations. When physical components are connected, the underlying electrical properties of the hardware component change, for example, from an insulator to a conductor or vice versa. Instructions enable embedded hardware (eg, an execution unit or load mechanism) to create, via variable connections, members of a circuit group in the hardware to, when in operation, perform portions of a particular operation. Accordingly, the computer-readable medium is communicatively coupled to other components of the circuit pack member when the device is in operation. In an example, any of the physical components may be used in more than one member of more than one circuit group. For example, in operation, an execution unit may at one point in time be used in a first circuit of a first circuit group, and be executed in a different manner by a second circuit in the first circuit group or by a third circuit in the second circuit group. Time to reuse.

A machine (e.g., a computer system) 500 may include a hardware processor 502 (e.g., a central processing unit (CPU), a graphics processing unit (GPU), a hardware processor core, or any combination thereof), a main memory 504, and a static memory 506, Some or all of the elements may communicate with each other via an interconnect (eg, bus) 508 . The machine 500 may further include a display unit 510, an alphanumeric input device 512 (eg, a keyboard), and a user interface (UI) navigation device 514 (eg, a mouse). In an example, the display unit 510, the input device 512 and the UI navigation device 514 may be a touch screen display. The machine 500 may additionally include a storage device (e.g., a drive unit) 516, a signal generating device 518 (e.g., a speaker), a network interface device 520, and one or more sensors 521, such as a global positioning system (GPS) sensor, compass, accelerometer, meter or other sensor. Machine 500 may include an output controller 528, e.g., serial (e.g., Universal Serial Bus (USB)), parallel, or other wired or wireless (e.g., infrared (IR), near field communication (NFC), etc.) One or more peripheral devices (eg, printer, card reader, etc.) communicate with or control the one or more peripheral devices.

Storage 516 may include stored thereon one or more sets of data structures embodying or utilized by any one or more of the techniques or functions described herein or machine-readable medium 522 of instructions 524 (eg, software). Instructions 524 may also reside, completely or at least partially, within main memory 504 , within static memory 506 , or within hardware processor 502 during execution by machine 500 . In an example, one or any combination of hardware processor 502, main memory 504, static memory 506, or storage device 516 may constitute a machine-readable medium.

Although machine-readable medium 522 is illustrated as being a single medium, the term "machine-readable medium" may encompass a single medium or multiple media configured to store one or more instructions 524 (e.g., a centralized or distributed database, and and/or associated caches and servers).

The term "machine-readable medium" may include instructions capable of storing, encoding, or carrying instructions for execution by machine 500 that cause machine 500 to perform any one or more of the techniques of the present invention, or any medium of data structures used by or associated with such instructions. Non-limiting examples of machine-readable media can include solid-state memory and optical and magnetic media. In an example, a centralized machine-readable medium includes a machine-readable medium having a plurality of particles having a constant (eg, rest) mass. Accordingly, the centralized machine-readable medium is a non-transitory propagated signal. Specific examples of centralized machine-readable media may include: non-volatile memory, such as semiconductor memory devices (e.g., Electrically Programmable Read-Only Memory (EPROM) or Electrically Erasable Programmable Read-Only Memory (EEPROM)) and flash memory memory devices; magnetic disks, such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks.

Instructions 524 may further utilize any of a number of transport protocols (e.g., Frame Relay, Internet Protocol (IP), Transmission Control Protocol (TCP), User Datagram Protocol (UDP), Hypertext Transfer Protocol (HTTP), etc.) The transmission medium is used to transmit or receive over the communication network 526 via the network interface device 520 . Example communication networks may include local area networks (LANs), wide area networks (WANs), packet data networks (e.g., the Internet), mobile telephone networks (e.g., cellular networks), plain old telephone (POTS) networks, and wireless data networks (e.g., known as The Institute of Electrical and Electronics Engineers (IEEE) 802.11 series of standards for Wi-Fi®, the IEEE 802.16 series of standards known as WiMax®), the IEEE 802.15.4 series of standards, peer-to-peer (P2P) networks, and others. In an example, network interface device 520 may include one or more physical jacks (eg, Ethernet, coaxial, or telephone jacks) or one or more antennas to connect to communication network 526 . In an example, network interface device 520 may include multiple antennas to communicate wirelessly using at least one of single-input multiple-output (SIMO), multiple-input multiple-output (MIMO), or multiple-input single-output (MISO) techniques. The term "transmission medium" shall be taken to include any intangible medium capable of storing, encoding or carrying instructions for execution by machine 500, and including digital or analog communication signals or other intangible media used to facilitate communication of such software.

Additional notes and example embodiments:

Example 1 encompasses subject matter (e.g., a method, means for performing an action, or a machine-readable medium comprising instructions that when executed by a machine cause the machine to perform an action) that includes obtaining, by a first entity, a representation Open recruitment data on a third-party recruitment system, the data including job titles and job descriptions; standardizing job titles to match at least one of a plurality of predefined job titles identified by the first entity; standardizing job descriptions to match job descriptions identified by the first entity A data format for entity identification; combining the standardized job title and the standardized job description into a standardized open recruitment; and integrating the standardized open recruitment into the recruitment system of the first entity.

Example 2 may incorporate the subject matter of Example 1, or may optionally be combined with said subject matter to comprise, wherein normalizing job titles includes cleanup of occurrences of undesirable characters, said cleanup being performed using at least one regular expression.

Example 3 may comprise the subject matter of one or any combination of Examples 1 to 2, or may optionally be combined with said subject matter to comprise, wherein the standardized job title comprises at least one of the following: determining the geographic location within the job title and Clear the determined geographic location from the job title; or determine the employer name within the job title and clear the determined employer name from the job title.

Example 4 may comprise the subject matter of one or any combination of Examples 1 to 3, or may optionally be combined with said subject matter to comprise, wherein the standardized position title comprises replacing the position with the word or phrase recognized by the first entity when denoting the abbreviation Abbreviation within the name.

Example 5 may comprise the subject matter of one or any combination of Examples 1 to 4, or may optionally be combined with said subject matter to comprise, wherein the substitution comprises using at least one of the context within the job title and the context within the job description to eliminate Abbreviation ambiguity.

Example 6 may comprise the subject matter of one or any combination of Examples 1 to 5, or may optionally be combined with said subject matter to comprise wherein normalizing a job title comprises: dividing a job title comprising an ordered plurality of words into words a list; generating a plurality of permutations of words from the list of words; and selecting, from the plurality of permutations of words, a permutation of words that most closely matches at least one of the plurality of predefined job titles identified by the first entity.

Example 7 may comprise the subject matter of one or any combination of Examples 1 to 6, or may optionally be combined with said subject matter to comprise wherein standardizing the job title further comprises determining the job title number and job seniority level corresponding to the standardized job title , and where the job title number and job seniority level are included in the standardized open recruitment.

Example 8 may comprise the subject matter of one or any combination of Examples 1 to 7, or may optionally be combined with said subject matter to comprise wherein standardized open recruitment includes identification of geographic location, employer name, hiring industry, and job skills at least one of the .

Example 9 may comprise the subject matter of one or any combination of Examples 1 to 8, or may optionally be combined with said subject matter to comprise that the subject matter (e.g., apparatus, apparatus, or system) comprises: a machine; a machine-executable job capture module configured to obtain, by the first entity, data representing an open job offer on a third-party recruitment system, the data comprising a job title and a job description; and a machine-executable job standardization module, It is configured to: standardize the job title to match at least one of a plurality of predefined job titles identified by the first entity; standardize the job description to conform to the data format identified by the first entity; combine the standardized job title and the standardized job description into a standardized open recruitment; and integrating the standardized open recruitment into the recruitment system of the first entity.

Example 10 may comprise, or may optionally be combined with, the subject matter of Example 9 to comprise, wherein normalizing job titles comprises cleaning occurrences of undesirable characters, said cleaning being performed using at least one regular expression.

Example 11 may comprise the subject matter of one or any combination of Examples 9 to 10, or may optionally be combined with said subject matter to comprise wherein normalizing job titles comprises at least one of the following: determining a geographic location within a job title and Clear the determined geographic location from the job title; or determine the employer name within the job title and clear the determined employer name from the job title.

Example 12 may comprise the subject matter of one or any combination of Examples 9 to 11, or may optionally be combined with said subject matter to comprise, wherein the standardized position title comprises replacing the position with the word or phrase recognized by the first entity when denoting the abbreviation Abbreviation within the name.

Example 13 may comprise the subject matter of one or any combination of Examples 9 to 12, or may optionally be combined with said subject matter to comprise, wherein the substitution comprises using at least one of the context within the job title and the context within the job description to eliminate Abbreviation ambiguity.

Example 14 may comprise the subject matter of one or any combination of Examples 9 to 13, or may optionally be combined with said subject matter to comprise wherein normalizing job titles comprises: dividing a job title comprising an ordered plurality of words into words a list; generating a plurality of permutations of words from the list of words; and selecting, from the plurality of permutations of words, a permutation of words that most closely matches at least one of the plurality of predefined job titles identified by the first entity.

Example 15 may comprise the subject matter of one or any combination of Examples 9 to 14, or may optionally be combined with said subject matter to comprise wherein standardizing job titles further comprises determining a job title number and job seniority level corresponding to the standardized job title , and where the job title number and job seniority level are included in the standardized open recruitment.

Example 16 may comprise the subject matter of one or any combination of Examples 9 to 15, or may optionally be combined with said subject matter to comprise, wherein standardized open recruitment includes identification of geographic location, employer name, hiring industry and job skills at least one of the .

Example 17 may comprise the subject matter of one or any combination of Examples 1 to 16, or may optionally be combined with said subject matter to comprise, subject matter (e.g., a method, means for performing an action, or machine-readable medium, the instructions, when executed by the machine, cause the machine to perform actions) comprising: obtaining, by a first entity, data representing open job offers on a third-party system; normalizing the data to produce a standardized open job offer; assigning the first source value to the standardized open job posting recruiting, the first source value determined at least in part by a source type of a third-party system; generating a first hash value of a standardized open job offer and assigning the first hash value to the standardized open job posting; determining a second source value having A substantially similar open offer to the second hash value exists in the first entity's recruiting system; and the substantially similar open offer is replaced within the first entity's recruiting system by a standardized open offer responsive to Item Execution: A substantially similar job opening has been identified as not being a paid job opening and the first source value is greater than the second source value.

Example 18 may comprise the subject matter of Example 17, or may optionally be combined with said subject matter to comprise, wherein the data representing open offers on a third party system comprises job title, geographic location and employer name, wherein normalizing open offers comprises normalizing A job title, wherein a first hash value of the standardized open recruitment is generated based on the standardized job title, the geographic location, and the name of the employer.

Example 19 may comprise, or may optionally be combined with, the subject matter of Examples 17 to 18, or any combination thereof, wherein the source type of the third party system is an employer's website, an electronic job applicant tracking system, and an electronic At least one of the job sites.

Example 20 may comprise the subject matter of one or any combination of Examples 17 to 19, or may optionally be combined with said subject matter to comprise, wherein the source value of the employer's website is greater than the source value of the electronic job applicant tracking system, and wherein The source value of the electronic applicant tracking system is greater than the source value of the electronic recruitment website.

Example 21 may comprise, or may optionally be combined with, the subject matter of any one or any combination of Examples 17 to 20 to comprise wherein determining that a substantially similar open recruitment exists in the recruitment system of the first entity comprises adding A hash value is compared to a plurality of hash values of open job offers within the recruitment system of the first entity, the plurality of hash values including the second hash value.

Example 22 may comprise the subject matter of one or any combination of Examples 17 to 21, or may optionally be combined with said subject matter to comprise a substantially similar The open job is a paid open job to present a substantially similar open job to at least one user of the first entity's recruiting system.

Example 23 may comprise the subject matter of one or any combination of Examples 17 to 22, or may optionally be combined with said subject matter to comprise presenting Standardized open recruitment.

Example 24 may comprise the subject matter of one or any combination of Examples 1 to 23, or may optionally be combined with said subject matter to comprise that the subject matter (e.g., apparatus, apparatus, or system) comprises: a machine; a machine-executable job capture module configured to obtain, by the first entity, data representing open job offers on a third-party recruitment system; a machine-executable job standardization module configured to standardize open job offers; and a machine-executable job capture module configured to standardize open job offers; Executing a job deduplication module configured to: assign a first source value to the standardized open job offer, the first source value determined at least in part by the source type of the third-party system; generate a first hash of the standardized open job posting value and assigning said first hash value to a standardized open job offer; determining that a substantially similar open job posting with a second source value and a second hash value exists in the first entity's recruitment system; and Substituting a standardized open job within the recruitment system of the substantially similar job opening, the replacement being performed in response to the substantially similar job opening being identified as not being a paid job opening and the first source value being greater than the second source value.

Example 25 may comprise the subject matter of Example 24, or may optionally be combined with said subject matter to comprise, wherein the data representing an open offer on a third-party system comprises job title, geographic location, and employer name, wherein normalizing the open offer comprises normalizing A job title, wherein a first hash value of the standardized open recruitment is generated based on the standardized job title, the geographic location, and the name of the employer.

Example 26 may incorporate the subject matter of one or any combination of Examples 24 to 25, or may optionally be combined with said subject matter to comprise, wherein the source type of the third party system is an employer's website, an electronic job applicant tracking system, and an electronic At least one of the job sites.

Example 27 may comprise, or may optionally be combined with, the subject matter of any one or any combination of Examples 24 to 26 to comprise, wherein the source value of the employer's website is greater than the source value of the electronic job applicant tracking system, and wherein The source value of the electronic applicant tracking system is greater than the source value of the electronic recruitment website.

Example 28 may comprise, or may optionally be combined with, the subject matter of any one or any combination of Examples 24 to 27 to comprise, wherein the working deduplication module is configured to combine the first hash value with the first entity A plurality of hash values of open jobs within the recruitment system of the first entity is compared to determine at least in part that a substantially similar open job exists in the first entity's recruitment system, the plurality of hash values including the second hash value.

Example 29 may comprise, or may optionally be combined with, the subject matter of any one or any combination of Examples 24 to 28 to comprise, wherein the job deduplication module is configured to be based at least in part on whether the first entity is paid by At least one customer of the first entity determines that the substantially similar job opening is a paid job opening to present the substantially similar job opening to at least one user of the first entity's recruiting system.

Example 30 may comprise, or may optionally be combined with, the subject matter of one or a combination of Examples 24 to 29 to comprise, a presentation module configured to present to the recruiting system of the first entity after receiving a relevant job search submitted by a user of users present a standardized open job offer.

Each of these non-limiting examples can stand alone or be combined with one or more of the other examples in various permutations or combinations.

Conventional terms in the fields of computer networks and computer systems are used herein. Such terms are known in the art and are provided for convenience only as non-limiting examples. Accordingly, the interpretation of corresponding terms in the claims is not limited to any specific definition unless otherwise stated. Accordingly, terms used in the claims are to be given the broadest reasonable interpretation.

Although specific embodiments have been illustrated and described herein, those of ordinary skill in the art will appreciate that any arrangement calculated to achieve the same purpose may be substituted for the specific embodiments shown. Many modifications will be apparent to those of ordinary skill in the art. Accordingly, this application is intended to cover any adaptations or variations.

The above detailed description contains references to the accompanying drawings, which form a part of the detailed description. The drawings show, by way of illustration, specific embodiments that may be practiced. These embodiments are also referred to herein as "Examples." Such examples may contain elements in addition to those shown or described. However, the inventors also contemplate examples where only those elements shown or described are provided. In addition, the inventors also contemplate the use of any language shown or described with respect to a particular example (or one or more aspects thereof) or with respect to other examples (or one or more aspects thereof) shown or described herein. Examples of any combination or permutation of those elements (or one or more aspects thereof).

All publications, patents, and patent documents referenced in this document are herein incorporated by reference in their entirety as if individually incorporated by reference. In the event of usage inconsistencies between this document and those documents incorporated by reference, the usage in the incorporated reference shall be deemed to supplement that of this document; for irreconcilable inconsistencies, the usage in this document shall Usage plays a leading role.

In this document, the term "a" is used as is common in patent documents to include one or more than one, regardless of any other instance or use of "at least one" or "one or more". In this document, the term "or" is used to denote a non-exclusive or such that "A or B" includes "A and not B", "B and not A" and "A and B" unless otherwise indicated ". In this document, the terms "comprising" and "in which" are used as colloquial equivalents of the corresponding terms "including" and "wherein". Furthermore, in the appended claims, the terms "comprises" and "comprising" are open-ended, that is, systems, devices that contain elements other than those listed after this term in the claims , an article, or a process are still considered within the scope of the claims. Furthermore, in the appended claims, the terms "first", "second", and "third", etc. are used as labels only and are not intended to impose numerical requirements on their objects.

Method examples described herein may be at least partially implemented by a machine or computer. Some examples can include a computer-readable medium or a machine-readable medium encoded with instructions that can be used to configure an electronic device to perform methods as described in the above examples. An implementation of such methods may comprise code, such as microcode, assembly language code, high level language code, and the like. This code may include computer readable instructions for performing various methods. The code may form part of a computer program product. Furthermore, in examples, the code may be tangibly stored on one or more volatile, non-transitory, or non-volatile tangible computer-readable media, eg, during execution or at other times. Examples of such tangible computer readable media may include, but are not limited to, hard disks, removable disks, removable optical disks (such as compact disks and digital video disks), magnetic tape cartridges, memory cards or sticks, random access memory (RAM) , read-only memory (ROM), etc.

The above description is intended to be illustrative rather than limiting. For example, the above examples (or one or more aspects thereof) may be used in combination with each other. For example, other embodiments may be utilized by one of ordinary skill after reviewing the above description. The abstract is provided in compliance with 37 C.F.R. §1.72(b) to allow the reader to quickly ascertain the nature of the technical disclosure and is presented with the understanding that the abstract is not intended to interpret or limit the scope or meaning of the claims. Furthermore, in the foregoing Detailed Description, various features may be grouped together in order to simplify the present disclosure. This should not be interpreted as intending that an unclaimed disclosed feature is essential to any claim. Rather, inventive subject matter may lie in less than all features of a particular disclosed embodiment. Thus the following claims are hereby incorporated into the Detailed Description, with each claim standing on its own as a separate embodiment, and it is contemplated that such embodiments may be combined with each other in various combinations and permutations. The scope of the embodiments should be determined with reference to the appended claims, along with the full range of equivalents to which such claims are entitled.

Claims (45)

1. a kind of method, it includes：

The data recruited through open public examination represented in third party's recruitment system are obtained by first instance, the packet contains position title And job description；

The position title is standardized to match at least one in the multiple predefined position titles recognized by the first instance It is individual；

The job description is standardized to meet the data format recognized by the first instance；

The standardization position title and the standardization job description are combined into standardization and recruited through open public examination；And

The standardization is recruited through open public examination and is integrated into the recruitment system of the first instance.

2. according to the method described in claim 1, wherein standardizing the position title includes the undesirable of removing appearance Character, the removing is performed using at least one regular expression.

3. according to the method described in claim 1, wherein standardizing the position title includes at least one in the following It is individual：

Determine the geographical position in the position title and remove the identified geographical position from the position title；Or

Determine employing unit's title in the position title and remove the identified employment list from the position title Position title.

4. according to the method described in claim 1, it is included in wherein standardizing the position title when representing abbreviation with described the The word or phrase of one Entity recognition substitute the abbreviation in the position title.

5. method according to claim 4, includes using the context in the position title and is reported wherein substituting The ambiguity of at least one elimination abbreviation in context in the description of position.

6. according to the method described in claim 1, included wherein standardizing the position title：

The position title including orderly multiple words is divided into the list of word；

Multiple arrangements of word are produced according to the list of word；And

The multiple predefined duty for selecting most tight fit to be recognized by the first instance from the multiple arrangement of word The arrangement of the word of at least one in the title of position.

7. method according to claim 6, wherein standardizing the position title further comprising determination corresponding to described Standardize the position title numbering and seniority level of position title, and wherein described position title numbering and the work Qualifications and record of service level is in the standardization is recruited through open public examination.

8. according to the method described in claim 1, wherein the standardization is recruited through open public examination comprising geographical position, employing unit's name Claim, recruit at least one in the identification of industry and workmanship.

9. a kind of system, it includes：

Machine, it includes memory and at least one processor；

The work trapping module that can be performed by the machine, it, which is configured to obtain by first instance, represents third party's recruitment system The data recruited through open public examination on system, the packet contains position title and job description；And

The woprk standardization module that can be performed by the machine, it is configured to：

The position title is standardized to match at least one in the multiple predefined position titles recognized by the first instance It is individual；

The job description is standardized to meet the data format recognized by the first instance；

The standardization position title and the standardization job description are combined into standardization and recruited through open public examination；And

The standardization is recruited through open public examination and is integrated into the recruitment system of the first instance.

10. system according to claim 9, wherein standardizing the position title includes the undesirable of removing appearance Character, the removing is performed using at least one regular expression.

11. system according to claim 9, wherein standardizing the position title includes at least one in the following It is individual：

Determine the geographical position in the position title and remove the identified geographical position from the position title；Or

Determine employing unit's title in the position title and remove the identified employment list from the position title Position title.

12. system according to claim 9, it is included in wherein standardizing the position title when representing abbreviation with described the The word or phrase of one Entity recognition substitute the abbreviation in the position title.

13. system according to claim 12, wherein substituting comprising using the context in the position title and described The ambiguity of at least one elimination abbreviation in context in job description.

14. system according to claim 9, is included wherein standardizing the position title：

The position title including orderly multiple words is divided into the list of word；

Multiple arrangements of word are produced according to the list of word；And

The multiple predefined duty for selecting most tight fit to be recognized by the first instance from the multiple arrangement of word The arrangement of the word of at least one in the title of position.

15. system according to claim 14, wherein standardize the position title further corresponds to institute comprising determination State the position title numbering and seniority level of standardization position title, and wherein described position title numbering and the work Make qualifications and record of service level in the standardization is recruited through open public examination.

16. system according to claim 9, wherein the standardization is recruited through open public examination comprising geographical position, employing unit's name Claim, recruit at least one in the identification of industry and workmanship.

17. a kind of non-transitory machine-readable storage media including instructing, the instruction is by the one or more of machine Reason device performs the machine when performing includes following operation：

The data recruited through open public examination represented in third party's recruitment system are obtained by first instance, the packet contains position title And job description；

The position title is standardized to match at least one in the multiple predefined position titles recognized by the first instance It is individual；

The job description is standardized to meet the data format recognized by the first instance；

The standardization position title and the standardization job description are combined into standardization and recruited through open public examination；And

The standardization is recruited through open public examination and is integrated into the recruitment system of the first instance.

18. non-transitory machine-readable storage media according to claim 17, wherein standardizing the position title bag Containing the undesirable character for removing appearance, the removing is performed using at least one regular expression.

19. non-transitory machine-readable storage media according to claim 17, wherein standardizing the position title bag Containing at least one in the following：

Determine the geographical position in the position title and remove the identified geographical position from the position title；Or

Determine employing unit's title in the position title and remove the identified employment list from the position title Position title.

20. non-transitory machine-readable storage media according to claim 17, wherein standardizing the position title bag It is contained in the abbreviation in the word recognized when representing abbreviation with the first instance or the phrase replacement position title.

21. non-transitory machine-readable storage media according to claim 20, the position is used wherein substituting and including The ambiguity of at least one elimination abbreviation in the context in context and the job description in title.

22. non-transitory machine-readable storage media according to claim 17, wherein standardizing the position title bag Contain：

The position title including orderly multiple words is divided into the list of word；

Multiple arrangements of word are produced according to the list of word；And

The multiple predefined duty for selecting most tight fit to be recognized by the first instance from the multiple arrangement of word The arrangement of the word of at least one in the title of position.

23. non-transitory machine-readable storage media according to claim 22, enters wherein standardizing the position title One step is numbered and seniority level comprising the position title for determining to correspond to the standardization position title, and wherein described Position title is numbered and the seniority level is in the standardization is recruited through open public examination.

24. non-transitory machine-readable storage media according to claim 17, wherein bag is recruited through open public examination in the standardization Containing geographical position, employing unit's title, recruitment industry and workmanship identification at least one.

25. a kind of method, it includes：

The data recruited through open public examination represented on third party system are obtained by first instance；

The data are standardized to recruit through open public examination to produce standardization；

First source value is assigned into the standardization to recruit through open public examination, first source value is at least partly by the third party system Source Type is determined；

Generation is described to be standardized the first hashed value recruited through open public examination and first hashed value is assigned into the standardization public affairs Open recruitment；

It is determined that substantially similar the recruiting through open public examination with the second source value and the second hashed value is present in the trick of the first instance Engage in system；And

In the recruitment system of the first instance, the replacement substantially similar public affairs are recruited through open public examination with the standardization Recruitment is opened, described substitute performs in response to following item：

Substantially similar the recruiting through open public examination has been identified as not being paid for recruiting through open public examination, and

First source value is more than second source value.

26. method according to claim 25, wherein represent on the third party system it is described recruit through open public examination it is described Packet contains position title, geographical position and employing unit's title, wherein the standardization is recruited through open public examination comprising standardization position Title, and wherein produced described based on the standardization position title, the geographical position and employing unit's title Standardize first hashed value recruited through open public examination.

27. method according to claim 25, wherein the Source Type of the third party system is the net of employing unit Stand, at least one in electronics applicant tracking system and electronics recruitment website.

28. the source value of the website of method according to claim 27, wherein employing unit, which is more than electronics job hunter, tracks system The source value of system, and wherein the source value of electronics applicant tracking system is more than the source value of electronics recruitment website.

29. method according to claim 25, wherein described determine that substantially similar the recruiting through open public examination is present in institute State and included in first hashed value and the recruitment system of the first instance in the recruitment system of first instance The multiple hashed values recruited through open public examination compare, the multiple hashed value include second hashed value.

30. method according to claim 25, it includes：

Based on the first instance whether collect remuneration and by least one client of the first instance determine it is described substantially Similar recruit through open public examination is that the paying is recruited through open public examination, with least one user of the recruitment system of the first instance Described substantially similar recruit through open public examination is presented.

31. method according to claim 25, it further comprises：

After the related work search that the user received by the recruitment system of the first instance submits, to the user The standardization is presented to recruit through open public examination.

32. a kind of system, it includes：

Machine, it includes memory and at least one processor；

The work trapping module that can be performed by the machine, it, which is configured to obtain by first instance, represents third party's recruitment system The data recruited through open public examination on system；

The woprk standardization module that can be performed by the machine, it is configured to recruit through open public examination described in standardization；And

The work data de-duplication module that can be performed by the machine, it is configured to：

First source value is assigned into the standardization to recruit through open public examination, first source value is at least partly by the third party system Source Type is determined；

Generation is described to be standardized the first hashed value recruited through open public examination and first hashed value is assigned into the standardization public affairs Open recruitment；

It is determined that substantially similar the recruiting through open public examination with the second source value and the second hashed value is present in the trick of the first instance Engage in system；And

In the recruitment system of the first instance, the replacement substantially similar public affairs are recruited through open public examination with the standardization Recruitment is opened, described substitute performs in response to following item：

Substantially similar the recruiting through open public examination has been identified as not being paid for recruiting through open public examination, and

First source value is more than second source value.

33. system according to claim 32, wherein represent on the third party system it is described recruit through open public examination it is described Packet contains position title, geographical position and employing unit's title, wherein the standardization is recruited through open public examination comprising standardization position Title, and wherein produced described based on the standardization position title, the geographical position and employing unit's title Standardize first hashed value recruited through open public examination.

34. system according to claim 32, wherein the Source Type of the third party system is the net of employing unit Stand, at least one in electronics applicant tracking system and electronics recruitment website.

35. the source value of the website of system according to claim 34, wherein employing unit, which is more than electronics job hunter, tracks system The source value of system, and wherein the source value of electronics applicant tracking system is more than the source value of electronics recruitment website.

36. system according to claim 32, wherein the work data de-duplication module is configured to by by institute State the first hashed value compared with the multiple hashed values recruited through open public examination in the recruitment system of the first instance and at least Part determines that substantially similar the recruiting through open public examination is present in the recruitment system of the first instance, the multiple to dissipate Train value includes second hashed value.

37. system according to claim 32, wherein the work data de-duplication module is configured at least partly Whether remuneration is collected based on the first instance and is determined by least one client of the first instance described substantially similar Recruit through open public examination be it is described paying recruit through open public examination, with least one user of the recruitment system of the first instance present Described substantially similar recruits through open public examination.

38. system according to claim 32, it further comprises module is presented, and the presentation module is configured to connecing The mark is presented in the user for receiving the recruitment system of the backward first instance for the related work search that the user submits Standardization is recruited through open public examination.

39. a kind of non-transitory machine-readable storage media including instructing, the instruction is by the one or more of machine Reason device performs the machine when performing includes following operation：

The data recruited through open public examination represented on third party system are obtained by first instance；

The data are standardized to recruit through open public examination to produce standardization；

First source value is assigned into the standardization to recruit through open public examination, first source value is at least partly by the third party system Source Type is determined；

Generation is described to be standardized the first hashed value recruited through open public examination and first hashed value is assigned into the standardization public affairs Open recruitment；

It is determined that substantially similar the recruiting through open public examination with the second source value and the second hashed value is present in the trick of the first instance Engage in system；And

In the recruitment system of the first instance, the replacement substantially similar public affairs are recruited through open public examination with the standardization Recruitment is opened, described substitute performs in response to following item：

Substantially similar the recruiting through open public examination has been identified as not being paid for recruiting through open public examination, and

First source value is more than second source value.

40. the non-transitory machine-readable storage media according to claim 39, wherein representing on the third party system The packet recruited through open public examination contain position title, geographical position and employing unit's title, wherein the standardization is public Open recruitment and include standardization position title, and wherein based on the standardization position title, the geographical position and the use People's organization and produce and described standardize first hashed value recruited through open public examination.

41. the non-transitory machine-readable storage media according to claim 39, wherein the third party system is described Source Type is at least one in the website of employing unit, electronics applicant tracking system and electronics recruitment website.

42. non-transitory machine-readable storage media according to claim 41, the wherein source value of the website of employing unit More than the source value of electronics applicant tracking system, and wherein, the source value of electronics applicant tracking system is more than electronics The source value of recruitment website.

43. the non-transitory machine-readable storage media according to claim 39, wherein substantially class described in the determination As recruit through open public examination in the recruitment system for be present in the first instance and include first hashed value and described first The multiple hashed values recruited through open public examination in the recruitment system of entity compare, and the multiple hashed value dissipates comprising described second Train value.

44. the non-transitory machine-readable storage media according to claim 39, it includes being used for based on described first in fact Whether body collects remuneration and determines that substantially similar the recruiting through open public examination is institute by least one client of the first instance State paying to recruit through open public examination, to be presented described substantially similar at least one user of the recruitment system of the first instance The instruction recruited through open public examination.

45. the non-transitory machine-readable storage media according to claim 39, it further comprises being used to receive institute The standardization is presented in the user for stating the recruitment system of the backward first instance of the related work search of user's submission The instruction recruited through open public examination.