CN115994746A - Information real-time auditing method, system, electronic equipment and storage medium - Google Patents
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Abstract
The invention relates to a method and a system for auditing information in real time, wherein the method comprises the following steps: receiving data submitted by a user and processing the data into a task to be checked, wherein the user comprises a recruitment user and a job-seeking user; establishing an audit task queue, and sequentially adding the tasks to be audited into the audit task queue; sequentially carrying out multidimensional analysis on the task to be checked; responding to the multi-dimensional analysis result of the task to be checked as a low-risk category, distributing the data corresponding to the task to be checked to an automatic release queue for automatically releasing the user data corresponding to the task to be checked on line; and distributing the task to be audited to a manual audit queue for manual audit in response to the multi-dimensional analysis result of the task to be audited being a high-risk category. The invention examines information with different dimensionalities in the same system, is beneficial to the management and maintenance of the examined information, and reduces the false examination rate.
Description
Technical Field
The invention relates to the technical field of Internet application, in particular to a method and a system for auditing information in real time.
Background
The traditional recruitment mode is that the enterprise poster job information is submitted by job seekers to the personal paper resume, and interview communication is carried out on the two aspects. Today, with the development of internet technology, recruiting enterprises and job seekers have more selection modes, and the mode is converted from the traditional paper media recruitment mode and the off-line talent market recruitment mode to the internet recruitment mode. Recruitment and job hunting are carried out through the Internet, compared with a traditional recruitment mode, recruitment enterprises and recruitment information can be known more timely for job seekers, and staff seekers resume can be acquired more conveniently for enterprise users, so that suitable staff seekers can be screened out more rapidly. The internet recruitment mode shortens the whole recruitment job-seeking process, saves the site and labor cost of off-line recruitment, is not limited by time and space factors, so that the internet recruitment mode gradually develops into the first choice of job seekers to find work and gradually becomes a normalization mode of enterprise recruitment.
But internet recruitment mode also has some drawbacks and risks. Such as false recruits, leakage or resume of reseller staff by some illegal industrial enterprises. In addition, some malicious job seekers perform illegal activities such as obtaining a competitor's business secret on a recruitment platform through network recruitment. Therefore, for the recruitment platform, it is very important to ensure the information security of both the recruitment enterprise and the job seeker, so that the enterprise and the job seeker for auditing and releasing the recruitment information become a very important link for the recruitment platform to work. However, with the increase of recruitment scale, the number of information to be audited is also increased, and due to the continuous expansion of recruitment platform services, the content of the recruitment platform audit is also increased, and different services have respective audit systems, so that the auditor has to repeatedly audit the same data for the same enterprise or the same job seeker when auditing the information such as positions, companies, advertisements and the like, and the work of redundancy not only increases the workload of the auditor, but also makes the audit efficiency very low.
Disclosure of Invention
Aiming at the technical problems in the prior art, the invention provides a real-time information auditing method and system, which can audit information submitted by users from multiple dimensions in the same system, so as to improve auditing efficiency and reduce manual labor.
In order to solve the above technical problems, according to an aspect of the present invention, there is provided a method for auditing information in real time, including:
receiving data submitted by a user and processing the data into a task to be checked, wherein the user comprises a recruitment user and a job-seeking user;
establishing an audit task queue, and sequentially adding the tasks to be audited into the audit task queue;
sequentially performing multi-dimensional analysis on the tasks to be inspected in the inspection task queue, wherein the multi-dimensional analysis is multi-angle analysis performed according to various inspection indexes and corresponding inspection strategies based on one or more of user base information, user behavior information, reported complaint information and historical inspection record information;
responding to the multi-dimensional analysis result of the task to be checked as a low-risk category, distributing the data corresponding to the task to be checked to an automatic release queue for automatically releasing the user data corresponding to the task to be checked on line; and
And distributing the task to be audited to a manual audit queue for manual audit in response to the multi-dimensional analysis result of the task to be audited being a high-risk category.
According to another aspect of the present invention, there is provided an information real-time auditing system, the system including a task module to be audited, configured to receive data submitted by a user and process it into a task to be audited; the task queue module is connected with the task module to be checked and is configured to establish an audit task queue, and the tasks to be checked are sequentially added into the audit task queue; the analysis module is connected with the task queue module and is configured to sequentially carry out multidimensional analysis on the tasks to be inspected in the inspection task queue according to various inspection indexes and corresponding inspection strategies, wherein one or more of user base information, user behavior information, reported complaint information and historical inspection record information used in the multidimensional analysis are stored in a multidimensional information base; the result processing module is connected with the analysis module and is configured to distribute the data corresponding to the task to be checked to an automatic release queue when the multi-dimensional analysis result of the task to be checked is a low-risk type, and the data is used for automatically releasing the user data corresponding to the task to be checked on line; and when the multidimensional analysis result of the task to be audited is a high-risk category, distributing the task to be audited to a manual audit queue for manual audit.
According to another aspect of the present invention, there is provided an electronic device, which includes a processor and a memory, wherein the memory stores a program instruction set, and the processor implements the foregoing information real-time auditing method when executing the program instruction set.
According to another aspect of the present invention, there is provided a computer readable storage medium having stored therein a set of program instructions which when executed by a processor implement the aforementioned method of information real-time auditing.
According to another aspect of the present invention, there is provided a computer program product comprising a set of program instructions which when executed by a processor implement the aforementioned method of information real-time auditing.
According to the method and the system provided by the invention, the real-time auditing of mass data can be supported, and various types of data can be audited and operated in the same auditing system from multiple dimensions; according to the invention, the information which is partially audited and passed is automatically released and put on line based on an automatic audit strategy, and the information which is not partially audited and passed is converted into manual audit, so that the manual audit data quantity is reduced, the manual labor is reduced, and the data audit quality is ensured; in addition, the system provided by the invention can obtain the user basic library information, the user behavior information, the reported complaint information, the historical auditing record information and other information required during analysis from the multidimensional information library, so that during manual auditing, different systems are not required to be switched according to auditing contents, the trouble of loading waiting, different interfaces, different data formats and the like during switching of different auditing systems is avoided, and the manual auditing efficiency is improved, and the management and maintenance of auditing information are facilitated.
Drawings
Preferred embodiments of the present invention will be described in further detail below with reference to the attached drawing figures, wherein:
FIG. 1 is a flow chart of a method for auditing information in real time, provided in accordance with an embodiment of the present invention;
FIG. 2 is a flowchart of the steps for establishing an audit task queue provided in accordance with one embodiment of the present invention;
FIG. 3 is a flowchart of steps for detecting whether a message queue is abnormal, provided in accordance with one embodiment of the present invention;
FIG. 4 is a multi-dimensional flow chart of a task to be reviewed in a review task queue provided in accordance with one embodiment of the invention;
FIG. 5 is a functional block diagram of an information real-time auditing system provided according to an embodiment of the present invention;
FIG. 6 is a functional block diagram of an information real-time auditing system provided in accordance with another embodiment of the present invention;
FIG. 7 is a functional block diagram of a pending task module provided in accordance with one embodiment of the present invention;
FIG. 8 is a functional block diagram of a task queue module provided in accordance with one embodiment of the invention;
FIG. 9 is a functional block diagram of an analysis module provided in accordance with one embodiment of the present invention; and
fig. 10 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the following detailed description, reference is made to the accompanying drawings, which form a part hereof, and in which is shown by way of illustration specific embodiments in which the application may be practiced. In the drawings, like reference numerals describe substantially similar components throughout the different views. Various specific embodiments of the present application are described in sufficient detail below to enable those skilled in the art to practice the teachings of the present application. It is to be understood that other embodiments may be utilized or structural, logical, or electrical changes may be made to the embodiments of the present application.
Because the recruitment mode of the internet has defects and risks, such as false recruitment, leakage or illegal actions such as resume of a resale job seeker can be carried out by some recruitment enterprises, some malicious job seekers can carry out some illegal activities such as obtaining business secrets of competitors enterprises on the recruitment platform through the network, and the like, it is very important for the recruitment platform to ensure the information security of both the recruitment enterprises and the job seekers, and the information issued by auditing enterprises and the job seekers becomes a very important link for the work of the recruitment platform. However, with the increase of recruitment scale, the number of audits required is also increased, and due to the continuous expansion of recruitment platform business, the content of the audits of the recruitment platform is also increased, and different businesses are respectively provided with auditing systems, so that the auditor has to repeatedly audit the same data for the same enterprise or the same job seeker when auditing information such as positions, companies, advertisements and the like, and the work of redundancy not only increases the workload of the auditor, but also makes the auditing efficiency very low. Aiming at the problems, the invention provides a method and a system for auditing information in real time.
Fig. 1 is a flowchart of a method for auditing information in real time according to an embodiment of the present invention. The method comprises the following steps:
and S1, receiving data submitted by a user and processing the data into a task to be checked, wherein the user comprises a recruitment user and a job seeker. In one embodiment, the information real-time auditing system of the present invention receives a large amount of data information published by recruiters and job seekers, and processes the received data submitted by the user according to a standardized format. The content in the standardized format comprises a tag type, an object ID and an audit information field array. Wherein the tag types further include one or more of the following types: companies, departments, positions, resume, and positions. The object ID is a set of numerical numbers, which may be expressed, for example, as: 123456. because all the information to be checked of the recruiter and the job seeker are in the same system, namely in the same data table, the object ID of the information to be checked is possible to be repeated due to different source systems of the information to be checked, and the condition that the information to be checked is repeated due to the fact that the type of the label is required to be added is avoided.
The audit information field array comprises data of original information and data of newly released information. And the information types in the audit information field array comprise a text type and a picture type. It should be noted that the task to be checked includes one or more audit information field arrays.
In this embodiment, the form of the audit information field array format is:
[ { jobiname { old: java development, new: java development engineer, type: string },
postid:{old:pic/job/postid/123_202207201619.jpg,
new:pic/job/postid/123_202207201619.jpg,type:pic}}]
for example, the content in the old field in the above format is original information, that is, information to be modified, the content in the new field is new information to be released, in this embodiment, "Java development" is original information, and "Java development engineer" is new information to be released, so as to replace the original information, at this time, the content in the type field is string, and the data representing the original information of the audit information field array and the data requiring the new release information are string types. For another example, the information types in the audit information field array include a picture type in addition to a text type. The content in the type field in the format is pic which is an abbreviation of English picture, and the data representing the original information of the group of audit information field arrays and the data requiring the newly released information are picture types.
And S2, establishing an audit task queue, and sequentially adding the tasks to be audited into the audit task queue. In this embodiment, after processing the received data submitted by the user into a task to be audited according to a standardized format, the task to be audited is added to an audit task queue of the information real-time audit system in sequence.
And S3, sequentially carrying out multi-dimensional analysis on the tasks to be inspected in the inspection task queue, wherein the multi-dimensional analysis is multi-angle analysis based on one or more of user base information, user behavior information, reported complaint information and historical inspection record information according to various inspection indexes and corresponding inspection strategies. And then, according to a judgment strategy, giving out an analysis result of the currently analyzed to-be-audited, and dividing the result into two categories, namely a low-risk category and a high-risk category.
The base library is used for providing the industrial and commercial information of the recruiting user, and comprises one or more of the operating state, the operating range and the registration address of the recruiting user, and relevant information of dimensions such as whether the recruiting user is a high-quality enterprise, a branching level and the like.
The acquisition of the user behavior information of the task to be checked is provided through a big data set, wherein the behavior information comprises behavior information such as login, chat, delivery resume and the like of the user.
Complaint information is also important auxiliary information and audit content in audit. In this embodiment, the information real-time auditing system is further connected to a complaint reporting system, from which complaint information is obtained. The job seeking user or recruitment user reports a certain enterprise and a certain person through the reporting and complaining system, and the reporting and complaining system generates complaining information with a certain format, such as user ID, complaining content and the like, such as recruitment aiming at fraud, false recruitment aiming at delivery and the like, according to the reporting information.
In addition, the information real-time auditing system is also connected with a database for recording historical auditing record information, and the historical auditing result is stored in the database. When multidimensional analysis is carried out, the audit record of the release information of a preset time period can be obtained from the database according to recruitment users or job seeking users corresponding to the current audit information, the history release information in the time period can be obtained, and the history release information is used as a dimension for analyzing and judging the users.
And step S4a, distributing the data corresponding to the task to be checked to an automatic release queue in response to the multi-dimensional analysis result of the task to be checked as a low-risk category. At this time, the information automatic release system automatically releases the data distributed to the automatic release queue on line. In one embodiment, manual spot checks are performed on the data in the automatic issue queue. For example, for automatically issued information, an inspector can sample the automatically issued information in proportion and review and feed back the reviewed information, so that the low-risk information judgment strategy is optimized and perfected.
And step S4b, distributing the task to be audited to a manual audit queue in response to the multi-dimensional analysis result of the task to be audited being a high-risk category. And further judging the task to be checked in the manual checking queue by a checking staff. In one embodiment, based on a subscription message of an auditor to an audit task, the audit task to be audited in a manual audit column is distributed to the auditor, and the auditor carries out manual audit on the audit task based on one or more of user base information, user behavior information, reported complaint information and historical audit record information so as to finally determine whether the audit task is in a real high-risk category. In this embodiment, if the task to be checked is determined to be a high-risk type, the auditor may use a sealing method to seal the offending user, or put the offending user in a blacklist, or lock members, companies, positions, etc. of the offending user, so as to limit the behavior of the offending user on the information real-time auditing system.
Figure 2 is a flowchart of the steps for establishing an audit task queue provided according to one embodiment of the present invention. In this embodiment, after the audit task queue is established, the tasks to be audited are sequentially added to the audit task queue, and in addition, the method for establishing the audit task queue further includes the following steps:
and S21, storing the task to be checked into a database task table. And the information real-time auditing system stores the task to be audited into a corresponding database task table for persistent storage. In this embodiment, the information real-time auditing system uses the oracle database task table to store the information real-time auditing system in a persistent manner, so as to prevent important data loss caused by downtime and other situations of the server.
And S22, recording the task state of each task to be checked. Because each piece of data in the oracle data task list is data which is not processed yet, each piece of data, namely the intermediate state of each task to be checked, is set to be a state to be checked or a state to be processed.
And S23, transferring the to-be-checked queues in the database task list to a message queue in sequence. In this embodiment, the pending tasks in the oracle database task table are sequentially transferred to a message queue, for example, transferred to a third party system rabitmq, where rabitmq is open source message proxy software implementing Advanced Message Queue Protocol (AMQP), which is also called message oriented middleware. Rabbittmq can persist the message in the message queue, namely the process of loading the message from the memory to the hard disk and then from the hard disk to the memory is realized. Each piece of data in the message queue, namely the task to be checked, is divided into an unprocessed state and an processed state according to whether the task to be checked is processed or not. For example, when multi-dimensional analysis is performed on a task to be audited, one data is sequentially read from the Rabbittmq message queue, and is analyzed, and in the analysis process, the state of the data in the message queue is "in process", and the state of other data which is not analyzed is "unprocessed". When the processing is finished, the data in the message queue is continuously moved along with the analysis processing according to the processing result, or is transferred to an automatic release queue, or is transferred to an artificial audit queue, and when the message queue has a vacancy, the data in the database task table is supplemented to the message queue, so that the audit of the information is continuously promoted.
In another embodiment, in order to ensure that data submitted by a user can be checked timely and effectively when the analysis processing process is stopped due to the conditions of downtime of the system, downtime of the server, etc., the method provided by the invention further comprises a step of detecting whether the message queue is abnormal, and fig. 3 is a flowchart of the step of detecting whether the message queue is abnormal according to one embodiment of the invention. In this embodiment, the method includes the steps of:
and step S231, periodically polling the task state of the first task to be audited in the database task table. The first task to be checked is stored in the database task table at the timing starting moment. In the running process of the information real-time auditing system, if the server is down, the message queue of Rabbittmq is blocked, so that tasks in the message queue cannot enter a subsequent process for multidimensional analysis of the task to be audited, and the auditing process is blocked. Therefore, in order to find the above problem in time, the present embodiment sets a mechanism of timing polling, and starts a timing task to determine whether the message queue status is abnormal or not every time the set period is reached. In this embodiment, according to the time length of most of the auditing tasks being completed, the time length of the timing is set to be ten minutes, and the data of the first task to be audited in the oracle data table is polled every ten minutes, that is, the data is the data of the task to be audited stored in the database task table at the timing starting moment, and the task to be audited is defined as the first task to be audited.
And step S232, in response to the task state of the first task to be audited being an unprocessed state, confirming that the message queue is abnormal. In this embodiment, under normal conditions, when a task to be audited enters an audit task queue, the time required for performing multidimensional analysis is less than ten minutes, that is, the task to be audited should be processed within ten minutes under normal conditions, so after reaching the time of polling for ten minutes, the message queue is queried, if the data read at this time is empty, the audit task in the database task table is executed and completed, which indicates that the state of the message queue is normal. The timing polling operation of the embodiment only performs the inquiry, and does not perform the operation, i.e., corresponds to the idle state, so the timing polling mechanism is a fault-tolerant mechanism. Otherwise, if the read data is not empty, the fact that the incomplete auditing task exists in the database task table is indicated, and the state of the message queue is abnormal, namely an unprocessed task exists.
And step S233, adding the first unprocessed task to be audited into the audit task queue in response to the abnormality of the message queue. In this embodiment, the information real-time auditing system responds to the abnormality of the message queue, and re-allocates the task of the abnormal message queue of the incomplete auditing task, and adds the task to the auditing task queue again.
FIG. 4 is a multi-dimensional flow chart of a task to be reviewed in a review task queue provided in accordance with one embodiment of the invention. In this embodiment, the method includes the steps of:
and S31, auditing the task to be audited dimension by dimension according to multi-angle analysis performed by various auditing indexes and corresponding auditing strategies.
And step S32, determining that the multi-dimensional analysis result of the task to be checked is a low-risk category in response to the task to be checked passing all the check indexes.
And step S33, generating a reject message and sending the reject message to a user in response to the information which accords with the reject in the audit policy and is included in the task to be audited.
And step S34, determining that the multi-dimensional analysis result of the task to be checked is the high-risk category according to the information which accords with the high-risk category in the checking strategy in response to the information included in the task to be checked.
In step S31, the information real-time auditing system sets various auditing indexes according to actual requirements, and sets corresponding auditing strategies according to the auditing indexes to form a judging strategy for the task to be audited. The auditing tasks in the auditing task queue are sequentially audited based on the judging strategy, and the auditing task queue comprises the following specific contents:
Identifying high-risk users: and judging whether the user is a high-risk user in the high-risk list. The high-risk list is maintained manually, and users involved in disputes in personal reporting, HR reporting, daily inspection and auditing processes are listed in the high-risk list. If the user corresponding to the task currently being audited is in the high-risk list, the task currently being audited can be determined to comprise the information of the high-risk category in the audit policy, so that the multi-dimensional analysis result of the task to be audited is determined to be the high-risk category, and at the moment, the task to be audited is distributed and listed in a manual audit process, and is removed from the audit task queue. In this embodiment, there is a high-risk list for each of the recruiter and job seeker. In the prior art, a high-risk list is provided for a plurality of systems to use, and correspondingly, a plurality of sets of codes for judgment are required to be written to be matched with the high-risk list, so that a system designer is required to spend a lot of time to do repeated code programming work. In addition, for different systems, the provided pages are different, and the operation modes are different, so that auditing personnel are required to spend a lot of time to be familiar with each system, and repeated auditing can be carried out on some indexes in different systems. The multidimensional auditing system provided by the invention has the advantage that the analysis and auditing of the tasks to be audited are rapidly and multi-angularly realized through a unified system.
Identifying the business state: and when the user of the task to be checked is a recruitment user, acquiring the business information of the user in a basic library, wherein the basic library is used for providing the business information of the recruitment user, and comprises one or more of the operating state, the operating range and the registration address of the recruitment user and the related information for providing whether the recruitment user is a high-quality enterprise, a branching level and other dimensions. If the business status is abnormal, for example, the business status on the recruiter's business license is in the form of cancellation, expiration, cancellation, etc., the task to be checked is judged as a high-risk category, the task to be checked is distributed into a manual checking flow, and the task to be checked is removed from the checking task queue.
Identifying a new user: judging whether the recruitment user is a new user or not through the ID type information of the task object to be checked; if the user is a new user, the new user category is determined to be the information meeting the high-risk category in the auditing policy in order to carefully process the data of the new user, although the new user does not belong to the high-risk user. The further processing comprises the steps of obtaining the position label type information of the task to be checked, distributing the task to be checked, to which the first position information newly issued by the task to be checked belongs, into a manual checking flow, and removing the task to be checked from the checking task queue.
Identifying picture content: when the type of the audit information in the task to be audited is a picture type, that is, the type of the information in the audit information field array is a picture type, in this embodiment, a third party system is utilized to audit the related picture, for example, a picture audit interface of third party software provided by hundred degrees is utilized to judge whether the content of the picture issued by the recruiter and/or job seeker has violations. The audit violation content comprises whether the picture is a yellow map, a disfigurement picture, a political sensitive picture, a grafted violation picture and the like. And if the checking result confirms that the picture is illegal, judging the task to be checked as a high-risk type, distributing the task to be checked into a manual checking flow, and removing the task from the checking task queue. The third party system is utilized to audit the related pictures, so that labor cost can be effectively saved.
Identifying the word number length of a task to be audited: when the user of the auditing task is a recruitment user and the information type of the auditing information field array is a text type, acquiring fields in the auditing information field array, wherein the fields comprise information such as job description, company details and the like; calculating the word number length of the description field, and comparing the word number length with a preset value of a set reasonable word number length; if the word count length does not reach the preset value, for example, the company and job position descriptions of the recruiter are too short, such as less than the preset value of 30 words, the information real-time auditing system determines that the information real-time auditing system does not accord with the normal condition, the task to be audited is determined to be in a high-risk category, and the task to be audited is distributed and listed in a manual auditing process and removed from the auditing task queue.
Identifying a white list: when the user in the checking task is a recruitment user, acquiring the position type in the label type of the task to be checked, acquiring the business registration place of the recruitment user in a basic library, checking whether the position is consistent with the business registration place of the recruitment user, and if not, checking whether the recruitment user is in a white list, wherein the white list is a white list of the off-site release positions. In general, the job site of the recruiter is located in the same province or city as the job site of the job site, and when the job site of the recruiter is inconsistent with the job site of the job site, illegal and illegal false recruitment may occur, such as fraud, marketing, etc. However, some normal recruiting users have sub-companies in different cities, and have trans-provincial and trans-urban recruitment demands, and the normal recruiting companies can be added into a white list after being checked and confirmed manually. In this embodiment, the whitelist is manually maintained by an auditor or a system operator.
Similarity before and after modification of identification information: and acquiring the task to be checked, comparing the similarity of two character strings in the original information data and the newly issued data through a specific algorithm, comparing the obtained similarity value with a preset value, judging the task to be checked as a high-risk type if the similarity value is smaller than the preset value, distributing the task to be checked into a manual checking flow, and removing the task from the checking task queue. For example, the tag type job description original information data may be a description of java development, but the newly released data is changed into information data completely irrelevant to the original information data, and the information real-time auditing system determines that the relative risk of the job is high, and generally, the modified job description is not modified into content with low similarity. In this embodiment, the information real-time auditing system compares the similarity of the two character strings before and after modification through a specific algorithm, and when the similarity is lower than 60%, the similarity indicates that the whole job description is different from the original job description.
Identifying a highlight word: when the information type of the audit information field array is a text type, field information in newly released data is acquired, and whether the information is matched with a highlight word in a highlight word bank is checked. When the presence of a highlight word is detected, it is determined that the task belongs to a high-risk category. In this embodiment, the highlighting word is configured by the auditor in a self-defined manner, and during a period of time, the auditor considers that some keywords may have a relatively high risk, and for these keywords, the auditor needs to manually review. For example, some keywords with timeliness, such as a president secretary, network about car type company or job position, which were previously about the current politics, prompt the auditor to audit the company and job position by highlighting these words with higher risk.
Identifying an IP address: and acquiring user login information of the task to be checked, if the IP address of the task to be checked is matched with the high-risk IP pool and the user corresponding to the same IP address is checked to be a black user, judging the task to be checked as a high-risk type, distributing the task to be checked into a manual checking flow, and removing the task to be checked from the checking task queue, wherein the black user comprises a recruitment user and a job seeking user. In this embodiment, the high-risk IP addresses in the high-risk IP pool are provided by the security department of the company, and the blacklist of users is maintained by the auditor.
Identifying the reported condition: when the user of the task to be checked is a recruitment user, checking whether the information in the reporting complaint system is matched with the user information, if so, reporting other information including members and companies of the recruitment user, and confirming the reported information by the reporting system. In this embodiment, the job seeker may report HR chat through a report job channel on the page of the information real-time auditing system, where the report information may enter the report system. For example, when the job seeker chat with the recruiter HR in a text chat manner on the recruitment platform, the HR chat can be reported through the reporting position channel on the page if the HR is found to be suspected of illegal and illegal speech. For another example, the recruitment platform may monitor abnormal chat in real time, and when it is found that the HR of the recruitment user is chatting with multiple people at the same time, the recruitment platform may automatically report the recruitment user when the chat number reaches hundreds or even thousands of people, or when a plurality of micro signals are mentioned in the chat process, and the recruitment user is recorded in the reporting system after confirming the violation by the auditor. And when the user information is matched with the content in the reporting system, judging that the task to be checked is in a high-risk category, distributing the task to be checked into a manual checking flow, and removing the task from the checking task queue.
Identifying user behavior information: if the user has illegal operation, the task to be checked is judged to be in a high-risk category, the task to be checked is distributed into a manual checking flow and is removed from the checking task queue; the behavior information comprises behavior information such as login, chat, delivery resume and the like of the user. In this embodiment, the big data set is used to check whether the user has boring abnormal behavior in the last month, whether the user has fraud or not, whether the user has illegal behaviors related to impersonating corporate legal persons, chat with abnormally many persons at the same time, chat content including illegal words, mention of a plurality of micro signals in chat content, and the like, and when different people refer to different micro messages, illegal distribution behaviors may be involved. When the user behavior information is matched with the user behavior information of the task to be checked provided by the big data set, the task to be checked is judged to be in a high-risk category, and the task to be checked is distributed and listed in a manual checking flow and is removed from the checking task queue.
Identifying abnormal delivery behavior: when the user of the task to be checked is a job-seeking user, if the information reported by the recruiter HR complaint is checked in the complaint reporting system, whether the information is abnormal or not is checked, in the embodiment, the abnormal delivery behavior mainly refers to delivery behaviors of hundreds of positions, even thousands of positions, within a short time, and the positions are not related to each other, that is, delivery behaviors of various positions among the delivered positions. And if the job hunting user has abnormal delivery behaviors, judging the task to be checked as a high-risk class, distributing the task to be checked into a manual checking flow, and removing the task from the checking task queue.
The judging strategy also comprises some information which does not belong to high risk but cannot be issued online in certain aspects, for example, in the information submitted by a user, when violations occur in information such as companies, departments, positions and the like, the information is required to be submitted again by the user, so that when the task to be checked is subjected to multidimensional analysis, field information in the label type of the task to be checked is obtained, including information such as companies, departments, positions and the like, whether the information is matched with the violations in the violation word library is checked, if the violations are contained, the task to be checked is refuted, namely a reject message is generated, and the corresponding user is notified. Further, when a violation is matched, the violation is replaced with one or more characters, such as ". Times.. And automatically refuting the task to be checked for the problem system, generating a refuting message and sending the refuting message to a user, and prompting the user to modify the violation.
In a further embodiment, when the number of times that the relevant information in the field information in the label type of the task to be checked is rejected exceeds a preset overrun value, for example, 3 times of overrun, and the task to be checked is classified as a high-risk type, the task to be checked is distributed into a manual checking flow and is removed from the checking task queue, and when the checking personnel determines that the user information rejected for many times belongs to the condition of deliberately destroying the system in the manual checking, the checking personnel performs blackout treatment, namely, the checking personnel is classified into a blacklist.
Figure 5 is a functional block diagram of an information real-time auditing system provided in accordance with an embodiment of the present invention. In this embodiment, the information real-time auditing system 100 includes a task module to be audited 1, a task queue module 2, an analysis module 3, and a result processing module 4.
The task module to be checked 1 is used for receiving data submitted by a user and processing the data into a task to be checked. The task queue module 2 is connected with the task to be checked module 1 and used for establishing a task to be checked queue and adding the task to be checked into the task to be checked queue in sequence. The analysis module 3 is connected with the task queue module 2, and is used for sequentially carrying out multidimensional analysis on the tasks to be inspected in the task queue according to various inspection indexes and corresponding inspection strategies, wherein one or more of user base information, user behavior information, reported complaint information and historical inspection record information used in the multidimensional analysis are stored in a multidimensional information base. The result processing module 4 is connected with the analysis module 3 and is used for distributing the data corresponding to the task to be checked to an automatic release queue when the multi-dimensional analysis result of the task to be checked is a low-risk type, and automatically releasing the user data corresponding to the task to be checked on line; and when the multidimensional analysis result of the task to be audited is a high-risk category, distributing the task to be audited to a manual audit queue for manual audit.
Fig. 6 is a functional block diagram of an information real-time auditing system provided in accordance with another embodiment of the present invention. In another embodiment, the information real-time auditing system 100 includes a task module to be audited 1, a task queue module 2, an analysis module 3, a result processing module 4, a timing polling module 5, and an exception processing module 6.
The timing polling module 5 is connected to the task table unit 22, and is configured to periodically poll a task state of a first task to be checked in the task table, where the first task to be checked is a task to be checked stored in the database task table at a timing starting moment; and confirming that the message queue is abnormal when the task state of the first task to be audited is an unprocessed state. In the running process of the information real-time auditing system, if the server is down, the message queue is blocked, so that the tasks in the message queue cannot enter the subsequent process of multi-dimensional analysis on the tasks to be audited, and the auditing process is blocked. Therefore, in order to find the above problem in time, the present embodiment sets a mechanism of timing polling, and starts a timing task to determine whether the message queue status is abnormal or not every time the set period is reached. In this embodiment, the timing polling module 5 polls the data of the first task to be checked in the oracle data table every ten minutes, that is, the data is the data of the task to be checked stored in the database task table at the timing starting moment. After reaching the time length of ten minutes of the timing polling module 5, inquiring the message queue, and if the read data is empty at the moment, completing the execution of the auditing task in the database task table, wherein the state of the message queue is normal. The timing polling operation of the embodiment only performs the inquiry, and does not perform the operation, i.e., corresponds to the idle state, so the timing polling mechanism is a fault-tolerant mechanism. Otherwise, if the read data is not empty, the fact that the incomplete auditing task exists in the database task table is indicated, and the state of the message queue is abnormal, namely an unprocessed task exists.
The exception handling module 6 is connected with the timing polling module 5 and is used for adding the first unprocessed task to be checked into the checking task queue when the message queue is abnormal.
FIG. 7 is a functional block diagram of a pending task module provided in accordance with one embodiment of the present invention. In this embodiment, the task module to be checked 1 further includes a receiving unit 11 and a normalizing unit 12.
The receiving unit 11 is configured to receive data submitted by a user. Wherein the user comprises a recruiter and a job seeker.
The normalizing unit 12 is connected with the receiving unit 11 and is used for processing data submitted by a user according to a standardized format; the content in the standardized format comprises a tag type, an object ID and an audit information field array; wherein the task to be checked comprises one or more check information field arrays. The standardized format is described in step S1, and will not be described in detail here.
FIG. 8 is a functional block diagram of a task queue module provided in accordance with one embodiment of the invention. In this embodiment, the task queue module 2 further includes an audit task queue unit 21, a task table unit 22, and a message queue unit 23.
Wherein the audit task queue unit 21. After the received data submitted by the user are processed into tasks to be audited according to a standardized format, the tasks to be audited are sequentially added into the audit task queue unit 21 of the information real-time audit system.
The task table unit 22 is configured to store the tasks to be checked in a database task table, and record a task status of each task to be checked. The information real-time auditing system stores the task to be audited into the task table unit 22 for persistent storage. In this embodiment, the information real-time auditing system uses the oracle database task table to store the information real-time auditing system in a persistent manner, so as to prevent the server from being down and other situations, resulting in important data loss.
The message queue unit 23 is connected to the task table unit 22, and is configured to sequentially transfer the tasks to be checked in the database task table to a message queue. In this embodiment, the tasks to be checked in the database task table are sequentially transferred to the third party software rabkitmq to be transferred to a message queue. Rabbitmq can persist messages in a message queue. The task state in the message queue of the message queue unit 23 corresponds to the task state of the task to be checked, for example, when the task state of the task to be checked is the "state to be checked", the task state of the corresponding task to be checked in the message queue of the message queue unit 23 is the "state in process".
Fig. 9 is a functional block diagram of an analysis module provided in accordance with one embodiment of the present invention. In the present embodiment, the analysis module 3 further includes a policy processing unit 31, a result judging unit 32, a reject processing unit 33, and a counting unit 34.
The policy processing unit 31 is configured to audit the task to be audited dimension by dimension according to a plurality of audit indexes and corresponding audit policies. The information real-time auditing system is also connected with a database providing analysis references for the policy processing unit 31, which includes: the system comprises a base library, a behavior information library and a complaint reporting system.
The base library, i.e. the recruitment user base library, provides business information third party data, including business information such as operating status, operating range, registration address, and the like, and whether the business is a high-quality enterprise, and provides the information to an auditing personnel to assist the auditing personnel in auditing and judging.
The behavior information base provides behavior information such as user login, chat, delivery resume and the like by using big data.
The reporting complaint system provides reporting related data. The job seeking user or recruitment user reports a certain enterprise and a certain person through the reporting and complaining system, and the reporting and complaining system generates complaining information with a certain format, such as user ID, complaining content and the like, such as recruitment aiming at fraud, false recruitment aiming at delivery and the like, according to the reporting information. Therefore, complaint information is also important auxiliary information at the time of auditing.
The result judging unit 32 is connected with the policy processing unit 31, and is used for determining that the multi-dimensional analysis result of the task to be checked is a low-risk category when the task to be checked passes through all the checking indexes; when the to-be-checked task comprises information conforming to a high-risk category in the checking strategy or the reject frequency reaches a preset frequency, determining that a multi-dimensional analysis result of the to-be-checked task is the high-risk category; and the task to be checked comprises information conforming to the rejection in the checking strategy, and the task to be checked is determined to be rejected.
The rejection processing unit 33 is connected to the result judging unit 32, and is configured to generate a rejection message and send the rejection message to a user when the task to be checked should be rejected. The rejected information comprises information such as warning or informing the user of modification related information errors or improper behaviors of the user.
The counting unit 34 is connected to the result judging unit 33, and counts the number of rejections when the task to be checked is determined to be rejections. In order to avoid the situation of the false rejection, the counting unit 34 may automatically count each time the automatic rejection is performed, and perform a manual check when the automatic rejection exceeds a limited number of times, for example, 3 times.
Fig. 10 is a schematic hardware structure of an electronic device according to an embodiment of the present invention, where the electronic device may be implemented as a server serving as a server, and includes a processor 601 and a memory 602, where a program instruction set is stored in the memory 602, and the foregoing method for auditing information in real time is implemented when the processor 601 executes the program instruction set on the memory 602.
In particular, the processor 601 may include a Central Processing Unit (CPU), or an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or may be configured as one or more integrated circuits that implement embodiments of the present invention.
The memory may include Read Only Memory (ROM), random Access Memory (RAM), magnetic disk storage media devices, optical storage media devices, flash memory devices, electrical, optical, or other physical/tangible memory storage devices. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software comprising computer-executable instructions and when the software is executed (e.g., by one or more processors) it is operable to perform the information real-time auditing method provided by the present invention.
In one example, the electronic device may also include a communication interface 603 and a bus 604. As shown in fig. 10, the processor 601, the memory 602, and the communication interface 603 are connected to each other through the bus 604 and perform communication with each other. The electronic device in the embodiment of the invention can be a server or other computing devices, and also can be a cloud server.
The communication interface 603 is mainly used to implement communications between modules, apparatuses, units, and/or devices in the embodiments of the present invention.
The present invention also provides a computer readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the foregoing method of information real-time auditing of the foregoing embodiments. The computer-readable storage medium may be any medium that can tangibly contain or store computer-executable instructions for use by or in connection with instruction execution systems, apparatus, and devices. The storage medium may be a transitory computer readable storage medium or a non-transitory computer readable storage medium. The non-transitory computer readable storage medium may include, but is not limited to, magnetic storage devices, optical storage devices, and/or semiconductor storage devices. Corresponding embodiments of such storage devices include, for example, magnetic disks, optical disks based on CD, DVD or blu-ray technology, and persistent solid state memories such as flash memories, solid state drives, etc.
The present invention also provides a computer program product comprising computer program instructions which, when executed by a processor, implement the foregoing method of information real-time auditing of the foregoing embodiments. The computer program product includes, but is not limited to, forms of application installation packages published on websites, application stores, application plugins, applets that can be run in certain applications, and the like.
The above embodiments are provided for illustrating the present invention and not for limiting the present invention, and various changes and modifications may be made by one skilled in the relevant art without departing from the scope of the present invention, therefore, all equivalent technical solutions shall fall within the scope of the present disclosure.
Claims (22)
1. A real-time information auditing method includes:
receiving data submitted by a user and processing the data into a task to be checked, wherein the user comprises a recruitment user and a job-seeking user;
establishing an audit task queue, and sequentially adding the tasks to be audited into the audit task queue;
sequentially performing multi-dimensional analysis on the tasks to be inspected in the inspection task queue, wherein the multi-dimensional analysis is multi-angle analysis performed according to various inspection indexes and corresponding inspection strategies based on one or more of user base information, user behavior information, reported complaint information and historical inspection record information;
responding to the multi-dimensional analysis result of the task to be checked as a low-risk category, distributing the data corresponding to the task to be checked to an automatic release queue for automatically releasing the user data corresponding to the task to be checked on line; and
And distributing the task to be audited to a manual audit queue for manual audit in response to the multi-dimensional analysis result of the task to be audited being a high-risk category.
2. The method of claim 1, wherein after receiving user-submitted data, the method further comprises:
processing received data submitted by a user according to a standardized format, wherein the content of the standardized format comprises a tag type, an object ID and an audit information field array; wherein the task to be checked comprises one or more check information field arrays.
3. The method of claim 2, wherein the tag types in the standardized formatted content further comprise one or more of the following types: companies, departments, positions, resume, and positions.
4. The method of claim 2, wherein the audit information field array includes data of original information and data of newly published information.
5. A method according to claim 2 or 3 or 4, wherein the information types within the audit information field array include text types and picture types.
6. The method of claim 1, wherein the step of establishing an audit task queue further comprises:
Storing the task to be checked into a database task list;
recording the task state of each task to be checked; and
sequentially transferring the to-be-checked queues in the database task table into a message queue; correspondingly, multi-dimensional analysis is sequentially carried out on the tasks to be checked in the message queue.
7. The method of claim 6, further comprising the step of detecting if the message queue is abnormal:
the method comprises the steps of periodically polling a task state of a first task to be checked in a database task table, wherein the first task to be checked is a task to be checked stored in the database task table at a regular starting moment;
responding to the task state of the first task to be audited as an unprocessed state, and confirming that the message queue is abnormal; and
and responding to the abnormality of the message queue, and adding the unprocessed first task to be audited into the audit task queue.
8. The method of claim 1, wherein multi-dimensionally speaking a task to be reviewed in the review task queue, further comprising:
auditing the task to be audited one by one in dimensions according to multi-angle analysis performed by various auditing indexes and corresponding auditing strategies;
Responding to the to-be-checked task to pass all check indexes, and determining that the multidimensional analysis result of the to-be-checked task is a low-risk category;
generating a reject message and sending the reject message to a user in response to the fact that the to-be-checked task comprises reject information conforming to a checking strategy; wherein the rejection message comprises rejection reasons and a resubmitted notification; and
and determining that the multidimensional analysis result of the task to be checked is a high-risk category according to the information which accords with the high-risk category in the checking strategy in response to the fact that the task to be checked comprises the information.
9. The method of claim 8, wherein the information conforming to the overrules in the audit policy includes the inclusion of offending content in the picture information; or include the offensive word in the job title, company name, department name, or job applicant name.
10. The method of claim 8, wherein when one of the audit tasks in the audit task queue is multi-dimensional, counting a number of rejections when the audit task is rejected at audit, and determining that the multi-dimensional analysis result of the audit task is a high-risk category in response to the number of rejections reaching a preset number.
11. The method of claim 8, further comprising: and performing manual spot check on the data in the automatic release queue.
12. The method of claim 1, wherein distributing the task to be reviewed to a manual review queue further comprises:
and distributing the tasks to be checked in the manual checking list to the auditor based on the subscription information of the auditor to the tasks to be checked.
13. The method of claim 8, wherein the audit trail comprises: one or more of a user identity index, a recruitment information index, a job hunting information index, a user behavior index, a text index, and a multimedia index.
14. The method of claim 1, further comprising: and storing the result of each task to be checked into a history checking record information base.
15. A real-time information auditing system, comprising:
the task module to be checked is configured to receive the data submitted by the user and process the data into a task to be checked;
the task queue module is connected with the task module to be checked and is configured to establish an audit task queue, and the tasks to be checked are sequentially added into the audit task queue;
the analysis module is connected with the task queue module and is configured to sequentially carry out multidimensional analysis on the tasks to be inspected in the inspection task queue according to various inspection indexes and corresponding inspection strategies, wherein one or more of user base information, user behavior information, reported complaint information and historical inspection record information used in the multidimensional analysis are stored in a multidimensional information base; and
The result processing module is connected with the analysis module and is configured to distribute the data corresponding to the task to be checked to an automatic release queue when the multidimensional analysis result of the task to be checked is a low-risk category, and the automatic release queue is used for automatically releasing the user data corresponding to the task to be checked on line; and when the multidimensional analysis result of the task to be audited is a high-risk category, distributing the task to be audited to a manual audit queue for manual audit.
16. The system of claim 15, wherein the task to be reviewed module further comprises:
a receiving unit configured to receive data submitted by a user; and
a normalization unit, connected to the receiving unit, configured to process data submitted by a user in a standardized format; the content in the standardized format comprises a tag type, an object ID and an audit information field array; wherein the task to be checked comprises one or more check information field arrays.
17. The system of claim 15, wherein the analysis module further comprises:
the strategy processing unit is configured to audit the task to be audited dimension by dimension according to various audit indexes and corresponding audit strategies;
The result judging unit is connected with the strategy processing unit and is configured to determine that the multidimensional analysis result of the task to be checked is a low-risk category when the task to be checked passes through all the check indexes; when the to-be-checked task comprises information conforming to a high-risk category in the checking strategy or the reject frequency reaches a preset frequency, determining that a multi-dimensional analysis result of the to-be-checked task is the high-risk category; the task to be checked comprises information conforming to the rejection in the checking strategy, and the task to be checked is determined to be rejected;
a rejection processing unit connected with the result judging unit and configured to generate a rejection message and send the rejection message to a user when the task to be checked should be rejected; and
and a counting unit connected to the result judging unit and configured to count the number of rejections when the task to be checked is determined to be rejections.
18. The system of claim 15, wherein the task queue module further comprises:
the task table unit is configured to store the tasks to be checked into the database task table and record the task state of each task to be checked; and
And the message queue unit is connected with the task table unit and is configured to sequentially transfer the tasks to be checked in the database task table into a message queue.
19. The system of claim 18, further comprising:
the timing polling module is connected with the task table unit and is configured to poll the task state of a first task to be checked in the task table at a timing, wherein the first task to be checked is a task to be checked stored in the database task table at a timing starting moment; confirming that the message queue is abnormal when the task state of the first task to be audited is an unprocessed state; and
and the exception handling module is connected with the timing polling module and is configured to add the unprocessed first task to be audited into the audit task queue when the message queue is abnormal.
20. An electronic device comprising a processor and a memory, wherein the memory has stored therein a set of program instructions that when executed by the processor implement the information real-time auditing method of any of claims 1-14.
21. A computer readable storage medium having stored therein a set of program instructions which when executed by a processor implements the information real-time auditing method of any of claims 1-14.
22. A computer program product comprising a set of program instructions which when executed by a processor implement the information real-time auditing method of any of claims 1-14.
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| CN116822494A (en) * | 2023-08-28 | 2023-09-29 | 深圳有咖互动科技有限公司 | Broadcast play information processing method, apparatus, electronic device and computer readable medium |
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| CN116822494B (en) * | 2023-08-28 | 2023-12-08 | 深圳有咖互动科技有限公司 | Broadcast play information processing method, apparatus, electronic device and computer readable medium |
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