CN110134689B - Target group screening method and system based on main body object label change and computer equipment - Google Patents
Target group screening method and system based on main body object label change and computer equipment Download PDFInfo
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- CN110134689B CN110134689B CN201910397663.4A CN201910397663A CN110134689B CN 110134689 B CN110134689 B CN 110134689B CN 201910397663 A CN201910397663 A CN 201910397663A CN 110134689 B CN110134689 B CN 110134689B
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Abstract
The invention relates to the field of big data and data analysis, in particular to a group screening method, a system and computer equipment based on main object label change, which aims to solve the technical problem that the prior art lacks the technical problem that corresponding target groups can be effectively screened through historical data characteristics.
Description
Technical Field
The invention relates to the field of big data and data analysis, in particular to a group screening method, a group screening system and computer equipment based on main body object label change.
Background
With the rapid development of big data technology and the improvement of data asset awareness of enterprises, massive data are accumulated in the enterprises, and how to deeply mine the value of the data to support the business development of the enterprises becomes the key of big data application. The client marketing field is the most extensive and deep field for client data application, accurate client grouping is realized by constructing client figures based on massive client data in an enterprise, and accurate and personalized service provided for clients becomes an effective means for improving core competitiveness of the enterprise.
The internet industry is the leading industry in data application technology, wherein advertisements are the main revenue of internet enterprises. The key point of accurate advertisement delivery is that a target user group is identified and selected, and dividing the user group based on a client label is the most common technical means, and whether the accuracy of selection of the target user group directly influences the advertisement delivery effect.
In the current group screening technology, the cross-matching and complementation combination operation is mainly performed based on the current labels owned by the customers, so that the corresponding group screening is realized, namely, the selection can be performed only based on the customer characteristics of a certain time section. In addition, most population screening technologies only support the population screening of the client subject, but not the screening of the subject population according to other tags, such as: the method does not support the steps of constructing an equipment portrait and screening a target equipment group by using equipment as a tag main body.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a target group screening method, a system and computer equipment based on the change of a main object label, which quickly realize the screening of the target group with changed characteristics through the selection of the change of the main object label and solve the technical problem that the prior art can not effectively screen the corresponding target group through historical data characteristics.
The target population screening method based on the change of the main object label comprises the following steps:
s1, constructing a label storage structure with a time dimension, and designing and forming a label detail record table;
s2, updating the tag data, and storing the tag change track of the main body object into a tag detail record table;
s3, obtaining target population screening conditions including a main object label change condition, a label type and a label combination rule, and screening the target population based on the main object label change condition and the label combination rule;
s4, judging whether the target group screening condition comprises a main object label change condition, if so, executing a step S5, otherwise, executing a step S7;
s5, inputting corresponding main object label change conditions including a label state at a starting time and a label state at an ending time, and screening a target population according to a main object label change track; interpreting and converting the change condition of the main object label, converting the time when the change of the main object label is in a starting state and the time when the change of the main object label is in an ending state into effective time information of the label, screening out a group set corresponding to the processed label according to the label and the corresponding effective time information, and then executing the step S6;
s6, judging whether the target group screening condition comprises a non-subject object label change condition, if so, executing a step S7, otherwise, executing a step S8;
s7, interpreting and converting the label filtering condition of the non-subject object label change condition, taking the current query time as the effective time information of the label, and screening out the group set corresponding to the processed label;
and S8, sequentially carrying out intersection, union or complement operation on the population sets screened out by the labels according to the label combination rule, and screening out corresponding target population sets.
In a preferred embodiment, in step S2, when updating the tag data, the latest tag data is compared with the historical tag data to generate a corresponding temporary result table, and the temporary result table is synchronized into the tag detail record table after the update of the temporary result table is completed.
In a preferred embodiment, step S2 includes:
s21, performing updating scheduling operation of the designated label, and generating an object Set1 of the latest time node having the designated label;
s22, acquiring corresponding label record information from the label detail record table to form a label data object data Set 2;
s23, creating a temporary record table, wherein the contents of the Set1, the Set2 and the temporary record table comprise a main object ID, a label effective time and a label invalid time;
s24, comparing the subject object ID in the Set2 with the subject object ID in the Set 1;
s25, screening recorded information of the main body object ID existing in the Set2 and the Set1, updating the label failure time to be permanent or the next updating time, and inserting the screened result and the updated information into a temporary record table;
s26, screening the record information of the main object ID existing in the Set2 but not existing in the Set1, updating the label failure time information to the current updating time, and inserting the screened result and the updated information into a temporary record table;
s27, screening record information of the subject object IDs which exist in the Set1 but do not exist in the Set2, and generating corresponding label effective time and label failure time information, wherein the label effective time is the current updating time, and the label failure time is updated to be permanent or next updating execution time; inserting the screened result and the updated information into a temporary record table;
and S28, clearing the corresponding label data in the original label detail record table, and inserting the data in the temporary record table in batch.
The invention relates to a target group screening system based on the change of a main object label, which comprises:
the tag storage structure building module is used for building a tag storage structure with a time dimension and designing and forming a tag detail record table;
the tag data updating module is used for updating tag data and storing the change track of the tag into a tag detail record table;
the acquisition module of the target group screening conditions is used for acquiring the target group screening conditions, and the target group screening conditions comprise main object label change conditions, label types and label combination rules;
and the target group screening module is used for judging whether the target group screening conditions comprise main object label change conditions:
if the change conditions of the main object tags are included, inputting corresponding change conditions of the main object tags, including tag states at starting time and tag states at ending time, and screening the target group according to the change tracks of the main object tags; interpreting and converting the change conditions of the main object label, converting the time when the change of the main object label is in a starting state and the time when the change of the main object label is in an ending state into effective time information of the label, and screening out a group set corresponding to the processed label according to the label and the corresponding effective time information; then judging whether the target group screening conditions comprise non-subject object label change conditions: if the non-subject object tag change conditions are included, interpreting and converting the tag filter conditions of the non-subject object tag change conditions, taking the current query time as effective time information of tags, and screening out a group set corresponding to the processed tags;
if the change condition of the main object label is not included, explaining and converting the label filtering condition of the change condition of the non-main object label, taking the current query time as effective time information of the label, and screening out a group set corresponding to the processed label;
and the intersection and complementation operation module is used for sequentially carrying out intersection, union or complementation operation on the group sets screened out by the labels according to the label combination rule and screening out the corresponding target group sets.
The computer device according to the present invention comprises a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the computer program to perform the steps of the target group screening method of the present invention.
The invention creatively provides the storage of the change track of the main object label, supports the screening of the target group based on the change of the main object label, adds the function of screening from the time change dimension in the common group screening and realizes the screening of the target group according to the change of the object characteristics.
Compared with the prior art, the invention has the following beneficial effects:
(1) the invention realizes the screening of the target group based on the change of the main object label and can quickly screen the target group with changed characteristics in a specified time period according to the user requirements.
(2) The invention realizes a tag storage framework and an updating process which can support the screening of the target group based on the tag change of the main object, improves the query efficiency of group screening, and ensures the stability and high efficiency of the screening function.
(3) On the basis of supporting user target group screening, the group screening of all tag main bodies is realized, including the group screening of main bodies such as equipment, enterprises, data records, work orders and the like; that is, the method is not limited to user group screening, and can be applied to all group screening in which the tag main body is constructed, such as equipment group screening, enterprise group screening, work order group screening, data record screening, and the like.
Drawings
FIG. 1 is a flow chart of the present invention for screening target populations based on subject object tag changes;
FIG. 2 is a flow chart of label update according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited thereto.
In the invention, the label body refers to a person or thing identified by the label, and can be a client, equipment, staff, a work order, data and the like; the label body object refers to an object instance identified by the label, namely a specific body object, such as specific customer Zhang III and employee plumes, which are also referred to as label objects for short; and the change of the label of the main body object means that the label of the main body object of the label has some change.
Referring to fig. 1, the method for screening target populations based on changes in the tags of subject objects of the present invention comprises the following steps:
s1, constructing a label storage structure with a time dimension, and designing and forming a label detail record table, wherein the attributes of the label storage structure comprise a label ID, a main object ID, a label effective time, a label invalid time and the like. Wherein the tag effective time and the tag invalid time may constitute a tag effective time interval.
The constructed label storage structure with the time dimension can record the effective time and the ineffective time of the label. And the main body object ID is stored in the label storage structure, but not limited to the client ID, so the target group main body of the invention comprises a specific main body object set of clients, equipment, employees, worksheets and the like, and also comprises data.
And S2, updating the tag data by adopting a pre-designed tag data updating flow, ensuring the updating performance of the tag data and the reliability of the tag data during updating, and finally storing the change track of the main object tag into a tag detail record table. When the tag data are updated, the latest tag data are compared with the historical tag data to generate a corresponding temporary result table, and the temporary result table is synchronized into the tag detail record table after the updating of the temporary result table is completed, so that the reliability of the tag data table is ensured, and the corresponding query operation cannot be influenced by the updating.
The embodiment designs a tag data updating process to ensure the performance of tag data updating and the reliability of tag data during updating. A specific tag data updating process can be seen in fig. 2, which includes the following steps:
s21, updating and scheduling operation of the designated label is carried out, and the Set1 of the object possessing the designated label of the latest time node is generated. The contents of Set1 include a subject object ID, a tag validation time, and a tag expiration time.
For example: the "high-value customer label" needs to be updated and scheduled, that is, the customer group having the "high-value customer label" under the update time node is judged to form the corresponding object Set 1.
S22, corresponding label record information is obtained from the label detail record table, a label data object data Set2 is formed, and the content of the Set2 comprises information such as a main object ID, label effective time, label invalid time and the like.
For example: the record having "high value customer label" is taken out from the label detail record table and put into the data Set2, and the Set2 also includes information such as the subject ID having "high value customer label", the label effective time, and the label invalid time.
S23, creating a temporary record table _ tmp, the information of the temporary record table including the information of the subject ID, the tag effective time, the tag invalid time, etc.
S24, comparing the subject object ID in the Set2 with the subject object ID in the Set1, and executing the following steps.
S25, updating the tag failure time of the subject object existing in the Set2 and the Set1 at the same time to a permanent or next updating time based on the data information of the Set2, and inserting the result data into the temporary record table _ tmp.
Specifically, the subject object IDs in Set2 and Set1 are compared, the record information of the subject object ID also owned by Set1 is screened out from Set2, the tag expiration time is updated to be permanent or next update time, and the screened out result and the updated information are inserted into the temporary record table _ tmp.
In this embodiment, it is indicated that the corresponding subject object has a "high-value client tag" until the next update, and if the next update time is uncertain, the corresponding subject object is permanently valid.
S26, the subject object whose Set2 exists and Set1 does not exist is updated by the tag expiration time to the update time based on the data information of Set2, and the resultant data is inserted into the temporary record table _ tmp.
Specifically, the subject object IDs in the Set2 and the Set1 are compared, record information that does not have a corresponding subject object ID in the Set1 is screened out in the Set2, and the tag expiration time information is updated to the current update time, which means that the corresponding subject object does not have a "high-value customer tag" after the update time; and inserting the screened result and the updated information into a temporary record table _ tmp.
S27, generating a corresponding main object ID Set by the main objects which do not exist in the Set2 and exist in the Set1, setting the effective time of the label as the current updating time, setting the invalid time of the label as the permanent or next updating time, and finally inserting the result data into the temporary record table _ tmp.
Specifically, the main object IDs in the Set2 and the Set1 are compared, record information of the main object IDs existing in the Set1 and not existing in the Set2 is obtained, and corresponding tag effective time and tag failure time information are generated, where the tag effective time is current update time, and the tag failure time is updated to be permanent or next update execution time; and inserting the screened result and the updated information into a temporary record table _ tmp.
Preferably, S25, S26, S27 may be performed in parallel to increase the update speed; of course, it may be performed serially, i.e., in sequence.
And S28, clearing the corresponding label data in the original label detail record table, inserting the data of the temporary record table _ tmp in batches, and deleting the temporary record table _ tmp after the operation is finished.
It should be noted that the above-mentioned "high-value customer label" is only an example, and any label can be updated according to the above process.
S3, obtaining target population screening conditions including a main object label change condition, a label type and a label combination rule, and screening the target population based on the main object label change condition and the label combination rule.
The subject object tag change condition reflects a subject object tag change trajectory from a time perspective. The subject object tag change condition may be defined as: a start time is selected and designated as containing or not containing a tag at the start time, while an end time is selected and designated as containing or not containing a tag at the end time. For example: the "medium value customer label" in month 1 in 2019 and the "high value customer label" in month 3 in 2019, and the combined condition is the subject object label change condition.
The target group comprises a person, things, data and other entity object sets capable of being labeled, and specifically can be a client, equipment, staff, work order or data and other entity object sets.
For example, a customer population that has a "high value customer label" in the last month, which becomes a "low value customer label" in this month, while having a "churn tendency label" needs to be screened; namely, the acquired change conditions of the main object label are as follows: the starting time is the designated time of the last month and is provided with a high-value customer label, and the ending time is the customer with the current query time and is provided with a low-value customer label; the label combination rule is as follows: and has a "run off propensity label".
S4, judging whether the target group screening conditions acquired in the step S3 contain subject object label change conditions, if so, executing the step S5, otherwise, executing the step S7.
And S5, inputting corresponding main object label change conditions including the label state of the starting time and the label state of the ending time, and screening the target population according to the main object label change track. Interpreting and converting the change condition of the main object label, converting the time when the change of the main object label is in the starting state and the time when the change of the main object label is in the ending state into effective time information of the label, screening out a group set corresponding to the processed label according to the label and the corresponding effective time information, and then executing the step S6.
In this embodiment, for the input subject object tag change condition: the method comprises the steps of starting a customer group with a specified time of last month having a high-value customer label, ending the customer group with a specified time of last month having a low-value customer label, interpreting and converting the customer group, namely screening records corresponding to the high-value customer label in a label detail record table, screening customer data sets with specified time of last month in an effective time interval and a failure time interval, screening records corresponding to the low-value customer label in the label detail record table, carrying out a customer data set with the specified time of last month in the effective time interval and the failure time interval, carrying out intersection operation on the two data sets, namely screening data record sets of the two data sets at the same time, and then executing a step S6.
S6, judging whether the target group screening conditions obtained in the step S3 contain non-subject object label change conditions, if yes, executing the step S7, otherwise, executing the step S8.
S7, interpreting and converting the label filtering condition of the non-subject object label change condition, taking the current query time as the effective time information of the label, and screening out the group set corresponding to the processed label.
In the present invention, the non-subject tag change condition refers to a normal tag condition, i.e., a tag condition that does not include the subject tag change condition. For example: when the label condition input by the client is that the client has a 'medium value client label', the client does not have a main body object label change condition and is a non-main body object label change condition.
And the loss tendency label is a non-subject object label change condition, the current query time is taken as label effective time information, records corresponding to the loss tendency label in the label detail record table are screened, and the current query time is a client data set in the effective time and the failure time interval.
And S8, sequentially carrying out intersection, union or complement operation on the population sets screened out by the labels according to the label combination rule, and screening out corresponding target population sets.
In this embodiment, according to the tag combination rule input in step S3, the intersection operation is performed on the customer data sets screened in steps S5-S7 to form the final screened customer data set.
And S9, outputting the screened target population result to the front end for display. Namely, the final customer data set is output to the front end for display.
Target group result data of group screening can be loaded into a cache, so that quick response is facilitated when the target group result data are called for many times.
The invention relates to a target group screening system based on the change of a main object label, which comprises the following components:
the tag storage structure building module is used for building a tag storage structure with a time dimension and designing and forming a tag detail record table;
the tag data updating module is used for updating tag data and storing the change track of the tag into a tag detail record table;
the acquisition module of the target group screening conditions is used for acquiring the target group screening conditions, and the target group screening conditions comprise main object label change conditions, label types and label combination rules;
and the target group screening module is used for judging whether the target group screening conditions comprise main object label change conditions:
if the change conditions of the main object tags are included, inputting corresponding change conditions of the main object tags, including tag states at starting time and tag states at ending time, and screening the target group according to the change tracks of the main object tags; interpreting and converting the change conditions of the main object label, converting the time when the change of the main object label is in a starting state and the time when the change of the main object label is in an ending state into effective time information of the label, and screening out a group set corresponding to the processed label according to the label and the corresponding effective time information; and simultaneously judging whether the target group screening conditions comprise non-subject object label change conditions: if the non-subject object tag change conditions are included, interpreting and converting the tag filter conditions of the non-subject object tag change conditions, taking the current query time as effective time information of tags, and screening out a group set corresponding to the processed tags;
if the change condition of the main object label is not included, explaining and converting the label filtering condition of the change condition of the non-main object label, taking the current query time as effective time information of the label, and screening out a group set corresponding to the processed label;
and the intersection and complementation operation module is used for sequentially carrying out intersection, union or complementation operation on the group sets screened out by the labels according to the label combination rule and screening out the corresponding target group sets.
The invention also provides a computer device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein when the processor runs the computer program, each step of the target group screening method is executed.
The present invention is not limited to the above embodiments, and any other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principle of the present invention should be construed as equivalents and are included in the scope of the present invention.
Claims (10)
1. The target population screening method based on the change of the main object label is characterized by comprising the following steps:
s1, constructing a label storage structure with a time dimension, and designing and forming a label detail record table;
s2, updating the tag data, and storing the tag change track of the main body object into a tag detail record table;
s3, obtaining target population screening conditions including a main object label change condition, a label type and a label combination rule, and screening the target population based on the main object label change condition and the label combination rule;
the change condition of the main object label reflects the change track of the main object label from the angle of time; the subject object tag change condition is defined as: selecting a start time and specifying the presence or absence of a tag at the start time, and selecting an end time and specifying the presence or absence of a tag at the end time;
s4, judging whether the target group screening condition comprises a main object label change condition, if so, executing a step S5, otherwise, executing a step S7;
s5, inputting corresponding main object label change conditions including a label state at a starting time and a label state at an ending time, and screening a target population according to a main object label change track; interpreting and converting the change condition of the main object label, converting the time when the change of the main object label is in a starting state and the time when the change of the main object label is in an ending state into effective time information of the label, screening out a group set corresponding to the processed label according to the label and the corresponding effective time information, and then executing the step S6;
s6, judging whether the target group screening condition comprises a non-subject object label change condition, if so, executing a step S7, otherwise, executing a step S8; the non-subject tag change condition is a tag condition that does not include the subject tag change condition;
s7, interpreting and converting the label filtering condition of the non-subject object label change condition, taking the current query time as the effective time information of the label, and screening out the group set corresponding to the processed label;
and S8, sequentially carrying out intersection, union or complement operation on the population sets screened out by the labels according to the label combination rule, and screening out corresponding target population sets.
2. The method for screening target populations according to claim 1, wherein in step S2, when updating the tag data, the latest tag data is compared with the historical tag data to generate a corresponding temporary result table, and the temporary result table is synchronized with the tag detail record table after the update of the temporary result table is completed.
3. The method for screening a target population according to claim 2, wherein the step S2 comprises:
s21, performing updating scheduling operation of the designated label, and generating an object Set1 of the latest time node having the designated label;
s22, acquiring corresponding label record information from the label detail record table to form a label data object data Set 2;
s23, creating a temporary record table, wherein the contents of the Set1, the Set2 and the temporary record table comprise a main object ID, a label effective time and a label invalid time;
s24, comparing the subject object ID in the Set2 with the subject object ID in the Set 1;
s25, screening recorded information of the main body object ID existing in the Set2 and the Set1, updating the label failure time to be permanent or the next updating time, and inserting the screened result and the updated information into a temporary record table;
s26, screening the record information of the main object ID existing in the Set2 but not existing in the Set1, updating the label failure time information to the current updating time, and inserting the screened result and the updated information into a temporary record table;
s27, screening record information of the subject object IDs which exist in the Set1 but do not exist in the Set2, and generating corresponding label effective time and label failure time information, wherein the label effective time is the current updating time, and the label failure time is updated to be permanent or next updating execution time; inserting the screened result and the updated information into a temporary record table;
and S28, clearing the corresponding label data in the original label detail record table, and inserting the data in the temporary record table in batch.
4. The method of claim 3, wherein the steps S25, S26, S27 are performed in series or in parallel.
5. Target group screening system based on subject object tag change, comprising:
the tag storage structure building module is used for building a tag storage structure with a time dimension and designing and forming a tag detail record table;
the tag data updating module is used for updating tag data and storing the change track of the tag into a tag detail record table;
the acquisition module of the target group screening conditions is used for acquiring the target group screening conditions, and the target group screening conditions comprise main object label change conditions, label types and label combination rules;
and the target group screening module is used for judging whether the target group screening conditions comprise main object label change conditions:
if the change conditions of the main object tags are included, inputting corresponding change conditions of the main object tags, including tag states at starting time and tag states at ending time, and screening the target group according to the change tracks of the main object tags; interpreting and converting the change conditions of the main object label, converting the time when the change of the main object label is in a starting state and the time when the change of the main object label is in an ending state into effective time information of the label, and screening out a group set corresponding to the processed label according to the label and the corresponding effective time information; then judging whether the target group screening conditions comprise non-subject object label change conditions: if the non-subject object tag change conditions are included, interpreting and converting the tag filter conditions of the non-subject object tag change conditions, taking the current query time as effective time information of tags, and screening out a group set corresponding to the processed tags;
if the change condition of the main object label is not included, explaining and converting the label filtering condition of the change condition of the non-main object label, taking the current query time as effective time information of the label, and screening out a group set corresponding to the processed label;
the intersection and complementation operation module is used for sequentially carrying out intersection, union or complementation operation on the group sets screened out by the labels according to the label combination rule and screening out corresponding target group sets;
the change condition of the main object label reflects the change track of the main object label from the angle of time; the subject object tag change condition is defined as: selecting a start time and specifying the presence or absence of a tag at the start time, and selecting an end time and specifying the presence or absence of a tag at the end time; the non-subject tag change condition is a tag condition that does not include the subject tag change condition.
6. The target population screening system of claim 5, wherein the tag data updating module compares the latest tag data with historical tag data to generate a corresponding temporary result table, and synchronizes the temporary result table to the tag detail record table after the temporary result table is updated.
7. The target population screening system of claim 5, wherein the attributes of the tag storage structure include a tag ID, a subject object ID, a tag validation time, and a tag expiration time.
8. The target population screening system of claim 5, wherein the target population is a set of entity objects that can be tag-identified.
9. The target population screening system of claim 8, wherein the target population is a set of entity objects of a customer, a device, an employee, a work order, or data.
10. Computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor, when executing the computer program, performs the steps of the method for target population screening according to any one of claims 1 to 4.
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