CN111768173A - Member state monitoring method, member state monitoring device, member state monitoring equipment and member state monitoring medium - Google Patents
Member state monitoring method, member state monitoring device, member state monitoring equipment and member state monitoring medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a member state monitoring method, a member state monitoring device, member state monitoring equipment and a member state monitoring medium. The monitoring method of the member state comprises the following steps: calculating the activity times of each member in each time interval according to the activity state information of each member in at least one time interval; according to the number of times of activities of each member in each time interval, identifying abnormal members meeting abnormal activity conditions, and marking each abnormal member with an abnormal state. The technical scheme of the embodiment of the invention realizes the marking of the abnormal state of the member through the system data and can monitor the member state aiming at the subsequent activity state information of the member.
Description
Technical Field
The embodiment of the invention relates to computer technology, in particular to a member state monitoring method, a member state monitoring device, member state monitoring equipment and a member state monitoring medium.
Background
With the vigorous development of the internet technology, more and more people seek jobs through each big internet platform, and this kind of internet platform needs to record the information of job seeker so as to better provide service for job seeker, but can involve some people and only enjoy platform service, and the number of times of taking part in an interview is too much, but the condition of not entering into job work.
Aiming at the malicious interview behaviors, the prior art artificially blackens the members and manually uploads violation evidences of the members, on one hand, the interview behaviors of the members cannot be counted and monitored, and the blacking basis is insufficient, on the other hand, the blacking in the prior art is one-time operation, namely, the members cannot enjoy the service of the current platform after blacking, and the long-term monitoring on the members in question is lacked.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a medium for monitoring the member state, which are used for performing combined signing of a contract and real-time monitoring on the monitoring state of the member state by setting a monitoring flow of the member state, realizing unified management on monitoring of the member state and improving the monitoring efficiency of the member state.
In a first aspect, an embodiment of the present invention provides a method for monitoring a member status, where the method includes:
calculating the activity times of each member in each time interval according to the activity state information of each member in at least one time interval;
according to the number of times of activities of each member in each time interval, identifying abnormal members meeting abnormal activity conditions, and marking each abnormal member with an abnormal state.
In a second aspect, an embodiment of the present invention further provides a device for monitoring a member status, where the device includes:
the activity frequency calculation module is used for calculating the activity frequency of each member in each time interval according to the activity state information of each member in at least one time interval;
and the abnormal state marking module is used for identifying abnormal members meeting abnormal activity conditions according to the number of times of activity of each member in each time interval and marking the abnormal states of each abnormal member.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
one or more processors;
a memory for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the member status monitoring method provided by any embodiment of the invention.
In a fourth aspect, the embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method for monitoring the member status provided in any embodiment of the present invention.
According to the technical scheme of the embodiment of the invention, the activity times of each member in each time interval are calculated according to the activity state information of each member in at least one time interval, then the abnormal member meeting the abnormal activity condition is identified according to the activity times of each member in each time interval, and the abnormal state of each abnormal member is marked, so that the problems that the subsequent member state monitoring cannot be carried out due to the lack of a system verification link caused by manual black drawing in the prior art are solved, the abnormal state marking of the members is realized through system data, and the member state monitoring can be carried out according to the subsequent activity state information of the members.
Drawings
Fig. 1 is a flowchart of a member status monitoring method according to a first embodiment of the present invention;
fig. 2 is a flowchart of a member status monitoring method according to a second embodiment of the present invention;
fig. 3a is a flowchart of a member status monitoring method according to a third embodiment of the present invention;
FIG. 3b is a schematic diagram of a member basic tag information display page according to a third embodiment of the present invention;
FIG. 3c is a schematic diagram of a member interview data list display page according to a third embodiment of the invention;
fig. 4 is a schematic view of a member status monitoring apparatus according to a fourth embodiment of the present invention;
fig. 5 is a schematic structural diagram of an apparatus according to a fifth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for monitoring a member status according to a first embodiment of the present invention, where the technical solution of this embodiment is suitable for a case where a member is marked with an abnormal status through member activity status information stored in a system, and the method may be executed by a member status monitoring device, which may be implemented by software and/or hardware, and may be integrated in various general-purpose computer devices, and specifically includes the following steps:
and 110, calculating the activity times of each member in each time interval according to the activity state information of each member in at least one time interval.
The activity status information is used for indicating the activity status of each member in the system, and when the activity is that the member participates in interviewing in the system, the activity status information can be information related to interviewing, such as interview times of the member.
In this embodiment, the data recording system records the activity state information of the members according to the activity states of the members, first obtains the activity state information of each member from the member data recording system, then aggregates the activity state information in a set time interval, obtains the activity state information of each member in the set time interval, and finally obtains the activity times of each member in each time interval.
Illustratively, the data recording system stores activity state information of three members including zhang, lie four and wang, the member state information includes interview times of the members, and the activity states of the members can be aggregated in the last 30 days and the last 365 days respectively, so that the interview times of the members in the last 30 days and the interview times of the members in the last 365 days are obtained.
And 120, identifying abnormal members meeting abnormal activity conditions according to the activity times of the members in each time interval, and marking abnormal states of the abnormal members.
The abnormal activity condition is used for judging whether the activity of each member is abnormal or not, the abnormal activity condition can be an activity frequency threshold value in a set time interval, and for example, when the activity frequency of a member in one month exceeds the set activity frequency threshold value, the member is considered to be in an abnormal state.
In this embodiment, after the number of activities of the member in the set time interval is obtained, according to the number of activities of the member in the set time interval, an abnormal member meeting an abnormal activity condition is identified, and an abnormal state is marked for the abnormal member.
Illustratively, the number of interviews of Zhang III of the member in nearly 30 days is acquired as 5, and the set abnormal activity condition is that the number of interviews in nearly 30 days exceeds 4, the member is determined to be an abnormal member, at the moment, Zhang III of the member meets the abnormal activity condition, namely the abnormal member is identified, abnormal state marking is carried out on Zhang III, when the broker views the member information, the abnormal state marking of the member can be seen, and the marking can prompt the broker to currently view that the member is in the abnormal state. The abnormal state marks can be distinguished according to a set time interval, for example, if the number of surface tests exceeds standard in nearly 30 days, the abnormal state marks are marked as 'monthly surface test exceeding standard', and if the number of surface tests exceeds standard in nearly 365 days, the abnormal state marks are marked as 'annual surface test exceeding standard', so that monitoring personnel can monitor according to the exceeding standard condition.
According to the technical scheme of the embodiment of the invention, the activity times of each member in each time interval are calculated according to the activity state information of each member in at least one time interval, then the abnormal member meeting the abnormal activity condition is identified according to the activity times of each member in each time interval, and the abnormal state of each abnormal member is marked, so that the problems that the subsequent member state monitoring cannot be carried out due to the lack of a system verification link caused by manual black drawing in the prior art are solved, the abnormal state marking of the members is realized through system data, and the member state monitoring can be carried out according to the subsequent activity state information of the members.
Example two
Fig. 2 is a flowchart of a member status monitoring method in a second embodiment of the present invention, which is further detailed based on the above embodiment and provides specific steps after the abnormal status is marked for each abnormal member. A method for monitoring a member status according to a second embodiment of the present invention is described below with reference to fig. 2, which includes the following steps:
and step 210, calculating the activity times of each member in each time interval according to the activity state information of each member in at least one time interval.
And step 220, identifying abnormal members meeting abnormal activity conditions according to the activity times of the members in each time interval, and marking abnormal states of the abnormal members.
And step 230, in response to the high-risk state marking request for the target abnormal member, marking the high-risk state of the target abnormal member, and determining the target abnormal member as the high-risk member.
In this embodiment, after the member is marked as an abnormal member, the monitoring staff may initiate a high-risk marking request for a part of the abnormal members according to the activity state information or the abnormal state mark of the abnormal member, where the part of the abnormal members is a target abnormal member, and further perform high-risk marking on the part of the abnormal members according to the high-risk marking request initiated by the monitoring staff, where the abnormal member after the high-risk marking is a high-risk member. Monitoring personnel can focus on the part of high-risk members in the follow-up monitoring process, and labor cost is saved.
Illustratively, the abnormal members are divided into monthly over-standard interview members and annual over-standard interview members, wherein the annual over-standard interview members need to be monitored in a focused mode, monitoring personnel can initiate a high-risk marking request aiming at the abnormal members with the annual over-standard interview, the abnormal members with the annual over-standard interview are marked at high risk in response to the high-risk marking request initiated on the abnormal members with the annual over-standard interview, and the high-risk marked members are the high-risk members.
Optionally, after the high-risk status is marked on the target abnormal member and the target abnormal member is determined as the high-risk member, the method further includes:
and when detecting that the high-risk member meets the abnormal state clearing condition, deleting the high-risk state mark and the abnormal state mark of the high-risk member.
In this optional embodiment, after the member is marked as a high-risk member, the high-risk mark of the member is displayed on each platform of the system, the broker is prompted to notice the member mark state, when it is detected that the high-risk member meets the abnormal state clearing condition, the high-risk state mark and the abnormal state mark of the high-risk member can be deleted, specifically, the number of times of activity of the member can be directly cleared, and when the system detects that the number of times of activity of the member does not exceed the standard, the abnormal state mark of the member is cleared. The abnormal state clearing condition can be that the subsequent activity state information of the high-risk member meets a set condition, or that an abnormal state clearing application uploaded by the member is detected and passes the auditing and the like.
For example, when an abnormal member whose monthly interview exceeds the standard is marked as a high-risk member, the activity state information of the high-risk member is continuously monitored, for example, the collection amount and the subsequent interview times of the member in work are monitored, when it is detected that no new interview record appears for 60 consecutive days, and the collection amount exceeds a set threshold in work, the high-risk member is considered to meet the abnormal state clearing condition, the interview times of the high-risk member is cleared, and the high-risk state mark and the abnormal state mark of the member are cleared.
Optionally, when it is detected that the high-risk member satisfies the abnormal state clearing condition, deleting the high-risk state flag and the abnormal state flag of the high-risk member, including:
and when the audit passing information matched with the abnormal state clearing application of the high-risk member is detected, determining that the high-risk member meets the abnormal state clearing condition, and deleting the high-risk state mark and the abnormal state mark of the high-risk member.
In this optional embodiment, a method for deleting a state flag when a high-risk member meets an abnormal state clearing condition is provided, and when audit passing information matched with an abnormal state clearing application of the high-risk member is detected, the current high-risk member is considered to meet the abnormal state clearing condition, the high-risk state flag and the abnormal state flag of the high-risk member are deleted.
Optionally, when it is detected that the high-risk member satisfies the abnormal state clearing condition, deleting the high-risk state flag and the abnormal state flag of the high-risk member, including:
and when detecting that the receiving amount of the high-risk member in the set period exceeds the average receiving amount of the non-high-risk member, deleting the high-risk state mark and the abnormal state mark of the high-risk member.
In this optional embodiment, another way that the high-risk member satisfies the abnormal state clearing condition and only deletes the state flag is provided, when it is detected that the high-risk member has the withdrawal amount exceeding the average withdrawal amount of the non-high-risk member within the preset monitoring period, and the task is that the current high-risk member satisfies the abnormal state clearing condition, the high-risk state flag and the abnormal state flag of the high-risk member are deleted. Wherein, the receiving amount is the reward received by the member in normal work.
Illustratively, after the member is marked as a high-risk member, the subsequent activity state information of the high-risk member is continuously detected, when it is detected that the high-risk member does not have a new interview record in the subsequent 60 days and has stable income certification, and the collection amount exceeds the average value of the collection amounts of the normally working non-high-risk members, for example 6000 yuan, the current high-risk member is considered to meet the abnormal state clearing condition, and then the high-risk state mark and the abnormal state mark of the high-risk member are deleted.
And 240, sending a high-risk reminding notice aiming at the target abnormal member to the broker to which the target abnormal member belongs.
In this embodiment, after the target abnormal member is marked as a high-risk member, a high-risk reminding notification for the target abnormal member is also sent to the broker serving as the target abnormal member, so as to prompt the broker about the abnormal state of the current member.
For example, in order to enable a broker to intuitively know the status of a member served by the broker, after the member is marked as a high-risk member, a high-risk reminding notification is sent to the broker to which the member belongs, for example, a short message is sent or a notification "member zhang san" is sent in the system, and since the interview times are too many and the member is already marked as a high-risk member, the broker is required to communicate with the member in time to correct the wrong behavior ".
And step 250, responding to the black drawing operation of the high-risk members, and drawing the high-risk members into a blacklist.
In this embodiment, the monitoring personnel can blacken the high-risk member aiming at the information of the subsequent activity state of the high-risk member, and the blackened member no longer enjoys the system service.
The technical scheme of the embodiment of the invention calculates the activity times of each member in each time interval according to the activity state information of each member in at least one time interval, identifies the abnormal member meeting the abnormal activity condition according to the activity times, marks the abnormal state of each abnormal member, marks the high-risk state of the target abnormal member in response to the high-risk state marking request of the target abnormal member, determines the target abnormal member as the high-risk member, sends the high-risk reminding notice aiming at the target abnormal member to the broker belonging to the target abnormal member, finally pulls the high-risk member into the blacklist in response to the black-out operation of the high-risk member, solves the problems that the prior art lacks a system verification link and cannot perform subsequent member state monitoring through manual black-out, realizes the abnormal state marking of the members through system data, and member state monitoring can be performed according to the subsequent activity state information of the members.
EXAMPLE III
Fig. 3a is a flowchart of a method for monitoring member status in a third embodiment of the present invention, which is further detailed on the basis of the above embodiments and provides specific steps for identifying abnormal members meeting abnormal activity conditions according to the number of activities of each member in each time interval. A method for monitoring a member status according to a third embodiment of the present invention is described below with reference to fig. 3a, including the following steps:
and 310, calculating the activity times of each member in each time interval according to the activity state information of each member in at least one time interval.
And step 320, identifying abnormal members meeting abnormal activity conditions according to the activity times of the members in each time interval, and marking abnormal states of the abnormal members.
Optionally, the activity state information is interview data of the member, and the activity times are interviewed times of the member;
correspondingly, according to the number of times of activities of each member in each time interval, identifying abnormal members meeting abnormal activity conditions comprises:
if the number of interviewed times of the target member in the current month only exceeds a first threshold, determining the target member as an abnormal member meeting the abnormal monthly interviewing;
if the interview times of the target member only in the current year exceed a second threshold, determining the target member as an abnormal member meeting the abnormal annual interview;
and if the number of interviewed times of the target member in the current month exceeds a first threshold value and the number of interviewed times of the current year exceeds a second threshold value, determining that the target member is an abnormal member meeting the annual interview abnormity.
In this optional embodiment, the activity state information is interview data of the members, the activity times are interviewed times of the members, that is, the interview situation of the members is currently monitored, specifically, according to the activity times of each member in each time interval, identifying an abnormal member meeting an abnormal activity condition includes aggregating the interview data of the target member, and if the interview times of the target member in about 30 days exceed a first threshold, for example, 4 times, determining that the target member meets an abnormal member with monthly interview abnormality; if the number of interviewed times of the target interview member in the 365 days exceeds a second threshold value, for example, 21 times, determining the target member as an abnormal member meeting the annual interview abnormality; and when the members simultaneously meet the monthly interview abnormity and the annual interview abnormity, determining the target members as abnormal members meeting the annual interview abnormity.
wherein, the abnormal member with abnormal annual interview has higher display priority than the abnormal member with abnormal monthly interview.
In this embodiment, after the abnormal member is marked in the abnormal state according to the activity state information of the member, the related information of the abnormal member is stored in the abnormal member information table, and when an inquiry request of the abnormal member is received, the member description information of the corresponding abnormal member is extracted and displayed. When displaying, the display priority of the abnormal member with abnormal annual interview is higher than that of the abnormal member with abnormal monthly interview, so that the monitoring personnel can timely monitor the subsequent interview data of the abnormal member with abnormal annual interview and timely carry out the operation of blackening or clearing marks.
The member description information includes information such as a member name, an identification number, an age, a nation, an abnormal state, a gender, an interview number, a receiving amount, total number of days of employment and the like, and the abnormal member query request may include at least one item of member description information, that is, any item of the member description information may be used as a query condition.
the basic mark information comprises at least one of a member name, a mobile phone number, a mark of a high-risk state, a mark of an abnormal state and remark information, wherein the mark of the high-risk state and the remark information are in an editable form.
In this embodiment, after the member description information of each abnormal member is displayed, in response to the operation of the monitoring person clicking the member name in the member description information, the basic mark information of the member is displayed to the monitoring person, specifically as shown in fig. 3b, the basic mark information includes the basic information of the member, and in the page where the basic mark information is displayed, the monitoring person may add a high-risk mark or a mark such as a last chance to the member. Specifically, the basic marking information includes member names, mobile phone numbers, high-risk state marks, abnormal state marks and remark information, wherein the high-risk state marks can be marked by monitoring personnel according to actual conditions, the abnormal state marks are marked by a system according to activity state information and set rules of members, the members subjected to the high-risk state marks can be monitored in a focused mode in the subsequent monitoring process and are marked as members with the last chance, and if interview records appear again in set time, the members are pulled into a blacklist.
the interview data list is arranged in reverse order of interview date.
In this embodiment, after the member description information of each abnormal member is displayed, in response to the operation of the monitoring person clicking the number of interviewed times included in the member description information, an interview data list of the member is displayed to the monitoring person, as shown in fig. 3c specifically, wherein the interview data includes information such as interview date, interview company, amount of money to be picked up, number of days of employment, and belonging economic person, and the interview data list is arranged in reverse order of the interview date.
It can be understood that the sequence of steps 340 and 350 is flexibly adjusted according to actual situations, and the specific operations to be performed are determined for the operations of the monitoring personnel in practical applications.
The technical scheme of the embodiment of the invention calculates the activity times of each member in each time interval according to the activity state information of each member in at least one time interval, identifies the abnormal member meeting the abnormal activity condition according to the activity times, marks the abnormal state of each abnormal member, extracts the member description information of each abnormal member to display in response to the abnormal member inquiry request, displays the basic mark information of the member in response to the operation of a monitoring person clicking the member name contained in the member description information, displays the historical interview data list of the member in response to the operation of the monitoring person clicking the interviewed times contained in the member description information, solves the problems that the prior art is lack of a system verification link and cannot monitor the subsequent member state through manual black-out, realizes the abnormal state marking of the member through system data, and member state monitoring can be performed according to the subsequent activity state information of the members.
Example four
Fig. 4 is a schematic structural diagram of a monitoring apparatus for a member status according to a fourth embodiment of the present invention, where the monitoring apparatus for a member status includes: an activity count module 410 and an abnormal state flag module 420.
The activity time calculating module 410 is configured to calculate the number of times each member has performed in each time interval according to activity state information of each member in at least one time interval;
the abnormal state marking module 420 is configured to identify an abnormal member meeting an abnormal activity condition according to the number of times that each member has been activated in each time interval, and mark each abnormal member with an abnormal state.
According to the technical scheme of the embodiment of the invention, the activity times of each member in each time interval are calculated according to the activity state information of each member in at least one time interval, then the abnormal member meeting the abnormal activity condition is identified according to the activity times of each member in each time interval, and the abnormal state of each abnormal member is marked, so that the problems that the subsequent member state monitoring cannot be carried out due to the lack of a system verification link caused by manual black drawing in the prior art are solved, the abnormal state marking of the members is realized through system data, and the member state monitoring can be carried out according to the subsequent activity state information of the members.
Optionally, the monitoring device for the member status further includes:
the high-risk marking module is used for responding to a high-risk state marking request of a target abnormal member after marking the abnormal state of each abnormal member, marking the high-risk state of the target abnormal member, and determining the target abnormal member as the high-risk member;
and the black drawing module is used for responding to black drawing operation on the high-risk member and drawing the high-risk member into a blacklist.
Optionally, the monitoring device for the member status further includes:
and the mark deleting module is used for deleting the high-risk state mark and the abnormal state mark of the high-risk member when detecting that the high-risk member meets the abnormal state clearing condition.
Optionally, the tag deleting module includes:
and the first mark deleting unit is used for deleting the high-risk state mark and the abnormal state mark of the high-risk member when the high-risk member is determined to meet the abnormal state clearing condition when the audit passing information matched with the abnormal state clearing application of the high-risk member is detected.
Optionally, the tag deleting module includes:
and the second mark deleting unit is used for deleting the high-risk state mark and the abnormal state mark of the high-risk member when detecting that the receiving amount of the high-risk member in a set period exceeds the average receiving amount of the non-high-risk member.
Optionally, the activity status information is member interview data, and the activity times are interviewed times of the members;
the abnormal state marking module 420 includes:
the first abnormal member determining unit is used for determining that the target member is an abnormal member meeting the monthly interview abnormity if the interview times of the target member in the current month only exceed a first threshold value;
a second abnormal member determination unit for determining the target member as an abnormal member satisfying the annual interview abnormality if the target member only has interviewed times of the year exceeding a second threshold value;
and the third abnormal member determining unit is used for determining that the target member is an abnormal member meeting the annual interview abnormity if the interview times of the target member in the current month exceed the first threshold value and the interview times of the current year exceed the second threshold value.
Optionally, the monitoring device for the member status further includes:
the description information display module is used for responding to an abnormal member inquiry request, and extracting and displaying the member description information of each abnormal member;
wherein the abnormal member with abnormal annual interview has higher display priority than the abnormal member with abnormal monthly interview.
Optionally, the monitoring device for the member status further includes:
the system comprises a mark information display module, a mark information display module and a display module, wherein the mark information display module is used for responding to an abnormal member inquiry request, extracting and displaying member description information of each abnormal member, and then responding to an operation of a monitoring staff clicking a member name contained in the member description information to display basic mark information of the member;
the basic mark information comprises at least one of a member name, a mobile phone number, a mark of a high-risk state, a mark of an abnormal state and remark information, wherein the mark of the high-risk state and the remark information are in an editable form.
Optionally, the monitoring device for the member status further includes:
the data list display module is used for responding to an abnormal member query request, extracting member description information of each abnormal member and displaying the member description information, responding to the operation that the monitoring personnel clicks interviewed times contained in the member description information, and displaying a historical interview data list of the member;
the interview data list is arranged in reverse order of interview date.
Optionally, the monitoring device for the member status further includes:
and the notification sending module is used for sending a high-risk reminding notification aiming at the target abnormal member to the broker to which the target abnormal member belongs after marking the high-risk state of the target abnormal member.
The member state monitoring device provided by the embodiment of the invention can execute the member state monitoring method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
EXAMPLE five
Fig. 5 is a schematic structural diagram of an electronic device according to a fifth embodiment of the present invention, as shown in fig. 5, the electronic device includes a processor 50 and a memory 51; the number of processors 50 in the device may be one or more, and one processor 50 is taken as an example in fig. 5; the processor 50 and the memory 51 in the device may be connected by a bus or other means, as exemplified by the bus connection in fig. 5.
The memory 51 is used as a computer-readable storage medium for storing software programs, computer-executable programs, and modules, such as program instructions/modules corresponding to a member status monitoring method according to an embodiment of the present invention (for example, the activity count calculation module 410 and the abnormal status marking module 420 in the member status monitoring device). The processor 50 executes various functional applications of the device and data processing by running software programs, instructions and modules stored in the memory 51, that is, implements the above-described member status monitoring method.
The method comprises the following steps:
calculating the activity times of each member in each time interval according to the activity state information of each member in at least one time interval;
according to the number of times of activities of each member in each time interval, identifying abnormal members meeting abnormal activity conditions, and marking each abnormal member with an abnormal state.
The memory 51 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created according to the use of the terminal, and the like. Further, the memory 51 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some examples, the memory 51 may further include memory located remotely from the processor 50, which may be connected to the device over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
EXAMPLE six
An embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a computer processor, is configured to perform a method of monitoring a member status, the method including:
calculating the activity times of each member in each time interval according to the activity state information of each member in at least one time interval;
according to the number of times of activities of each member in each time interval, identifying abnormal members meeting abnormal activity conditions, and marking each abnormal member with an abnormal state.
From the above description of the embodiments, it is obvious for those skilled in the art that the present invention can be implemented by software and necessary general hardware, and certainly, can also be implemented by hardware, but the former is a better embodiment in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute the methods according to the embodiments of the present invention.
It should be noted that, in the embodiment of the monitoring device for member status, the units and modules included in the monitoring device are only divided according to the functional logic, but are not limited to the above division, as long as the corresponding functions can be implemented; in addition, specific names of the functional units are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present invention.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (13)
1. A method for monitoring a member status, comprising:
calculating the activity times of each member in each time interval according to the activity state information of each member in at least one time interval;
according to the number of times of activities of each member in each time interval, identifying abnormal members meeting abnormal activity conditions, and marking each abnormal member with an abnormal state.
2. The method of claim 1, wherein after the marking of the abnormal status for each of the abnormal members, further comprising:
in response to a high-risk state marking request for a target abnormal member, marking the high-risk state of the target abnormal member, and determining the target abnormal member as the high-risk member;
and in response to the black-drawing operation of the high-risk member, drawing the high-risk member into a blacklist.
3. The method according to claim 2, wherein after marking a high risk status of a target abnormal member and determining the target abnormal member as a high risk member, further comprising:
and deleting the high-risk state mark and the abnormal state mark of the high-risk member when the high-risk member is detected to meet the abnormal state clearing condition.
4. The method according to claim 3, wherein deleting the high-risk status flag and the abnormal status flag of the high-risk member when detecting that the high-risk member meets the abnormal status clearing condition comprises:
and when the audit passing information matched with the abnormal state clearing application of the high-risk member is detected, determining that the high-risk member meets the abnormal state clearing condition, and deleting the high-risk state mark and the abnormal state mark of the high-risk member.
5. The method according to claim 3, wherein deleting the high-risk status flag and the abnormal status flag of the high-risk member when detecting that the high-risk member meets the abnormal status clearing condition comprises:
and deleting the high-risk state mark and the abnormal state mark of the high-risk member when detecting that the receiving amount of the high-risk member in a set period exceeds the average receiving amount of the non-high-risk member.
6. The method of claim 1, wherein the activity status information is member interview data, and wherein the number of activities is the number of interviews performed by a member;
correspondingly, according to the number of times of activities of each member in each time interval, identifying abnormal members meeting abnormal activity conditions includes:
if the number of interviewed times of a target member in the current month only exceeds a first threshold, determining that the target member is an abnormal member meeting the abnormal monthly interviewing;
if the interview times of the target member only in the current year exceed a second threshold, determining the target member as an abnormal member meeting the abnormal annual interview;
and if the number of interviewed times of the target member in the current month exceeds a first threshold value and the number of interviewed times in the current year exceeds a second threshold value, determining that the target member is an abnormal member meeting the annual interview abnormity.
7. The method of claim 6, further comprising:
responding to an abnormal member inquiry request, extracting member description information of each abnormal member and displaying the member description information;
wherein the abnormal member with abnormal annual interview has higher display priority than the abnormal member with abnormal monthly interview.
8. The method of claim 7, wherein after extracting and displaying member description information of each abnormal member in response to the abnormal member inquiry request, the method further comprises:
responding to the operation of clicking the member name contained in the member description information by a monitoring person, and displaying the basic mark information of the member;
the basic mark information comprises at least one of a member name, a mobile phone number, a mark of a high-risk state, a mark of an abnormal state and remark information, wherein the mark of the high-risk state and the remark information are in an editable form.
9. The method of claim 7, wherein after extracting and displaying member description information of each abnormal member in response to the abnormal member inquiry request, the method further comprises:
responding to the operation that the monitoring personnel clicks the interviewed times contained in the member description information, and displaying a historical interview data list of the member;
the interview data list is arranged in reverse order of interview date.
10. The method of claim 2, further comprising, after marking the target abnormal member for a high risk status:
and sending a high-risk reminding notice aiming at the target abnormal member to the broker to which the target abnormal member belongs.
11. A member status monitoring apparatus, comprising:
the activity frequency calculation module is used for calculating the activity frequency of each member in each time interval according to the activity state information of each member in at least one time interval;
and the abnormal state marking module is used for identifying abnormal members meeting abnormal activity conditions according to the number of times of activity of each member in each time interval and marking the abnormal states of each abnormal member.
12. An electronic device, characterized in that the device comprises:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of monitoring member status as claimed in any one of claims 1 to 10.
13. A computer storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements a method of monitoring the status of a member as claimed in any one of claims 1 to 10.
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| CN106228388A (en) * | 2016-07-14 | 2016-12-14 | 乐视控股（北京）有限公司 | A kind of member user's behavior monitoring method, device and electronic equipment |
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Application publication date: 20201013 |