Method, device, equipment and storage medium for determining suspected target persons

Abstract

The present invention provides a method, device, equipment and storage medium for determining a suspected target person. The suspected target person is a person suspected of having a target behavior. The method includes obtaining control person data, the control person is a person determined to have had the target behavior; determining the behavior characteristics of the control person related to the target behavior according to the control person data; obtaining the data of the person to be tested; determining the possibility that the person to be tested is the target person according to the data and behavior characteristics of the person to be tested; when the possibility that the person to be tested is the target person meets the preset conditions, determining the data of the person to be tested as the suspected target person data. The judgment of the suspected target person data is realized, and the accuracy of the suspected target person data is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic equipment, and in particular to a method, device, equipment and storage medium for determining a suspected target person. Background Art

[0002] With the development of social economy and the improvement of people's living standards, there are more and more temptations in society, and some behaviors of people may bring certain harm to society or themselves. Therefore, the monitoring and judgment of some people with target behaviors has become a technical problem that needs to be solved urgently by the modern public security system and society.

[0003] In the prior art, in order to monitor people who have engaged in target behavior, the person is usually required to wear an electronic device to obtain the person's movement trajectory, vital signs and other information through the electronic device, or the electronic device can be used to autonomously upload monitoring information to monitor the person who has engaged in target behavior in order to determine whether the person who has engaged in target behavior engages in target behavior again.

[0004] However, in the prior art, by requiring the persons who have performed the target behavior to wear electronic devices, the persons who have performed the target behavior are monitored, but it is impossible to judge the data of the persons who have not performed the target behavior. Summary of the invention

[0005] The present application provides a method, device, equipment and storage medium for determining a suspected target person to realize the judgment of the data of the suspected target person.

[0006] In a first aspect, an embodiment of the present application provides a method for determining a suspected target person, wherein the suspected target person is a person suspected of having a target behavior, and the method comprises:

[0007] Obtain the data of the control person, where the control person is a person who has been determined to have had the target behavior; determine the behavioral characteristics of the control person related to the target behavior based on the data of the control person; obtain the data of the person to be tested; determine the possibility that the person to be tested is the target person based on the data and behavioral characteristics of the person to be tested; when the possibility that the person to be tested is the target person meets the preset conditions, determine that the data of the person to be tested is the suspected target person data.

[0008] In an embodiment of the present application, the possibility that the person in the data of the person to be tested is the target person is calculated based on the behavioral characteristics of the data of the person to be tested and the control person, so as to determine the data of the suspected target person in the data of the person to be tested, thereby realizing the judgment of the suspected target person and improving the accuracy of the data of the suspected target person.

[0009] Optionally, based on the data and behavioral characteristics of the person to be tested, determine the likelihood that the person to be tested is the target person, including:

[0010] According to the data of the person to be tested, the target behavior record of the person to be tested that matches the behavior characteristics is determined; according to the target behavior record, the target behavior characteristics corresponding to the target behavior record are determined; according to the target behavior characteristics and the target behavior record, the possibility that the person to be tested is the target person is determined.

[0011] In the embodiment of the present application, the target behavior characteristics are determined by matching the target behavior records of the person to be tested with the behavior characteristics, and then the possibility that the person to be tested is the target person is determined based on the target behavior characteristics and the target behavior records, thereby achieving a judgment on the possibility that the person to be tested is the target person and improving the accuracy of the judgment.

[0012] According to the target behavior characteristics and target behavior records, determine the possibility that the person to be tested is the target person, including:

[0013] Determine the weight corresponding to each target behavior feature; determine the number of target behavior records corresponding to each target behavior feature; for any target behavior feature, calculate the first product of the number of target behavior records and the weight; sum all first products to determine the possibility that the person to be tested is the target person.

[0014] In an embodiment of the present application, a weight is set for each target behavior feature, and the probability that the person to be tested is the target person is determined by calculating the product of the number of target behavior records and the weight, thereby improving the accuracy of the prediction of the probability that the predicted person is the target person.

[0015] According to the target behavior characteristics and target behavior records, calculate the possibility that the person to be tested is the target person, including:

[0016] Determine at least one influencing factor corresponding to each target behavior feature; determine the weight corresponding to each influencing factor; for any influencing factor, determine the number of target behavior records that match the influencing factor, and calculate the second product of the number of target behavior records and the weight corresponding to the influencing factor; sum all the second products to determine the possibility that the person to be tested is the target person.

[0017] In an embodiment of the present application, the corresponding influencing factors are determined for each target behavior feature, and a weight is set for each influencing factor. The possibility that the person to be tested is the target person is determined by calculating the product of the number of target behavior records and the weight corresponding to the influencing factor, thereby improving the accuracy of the prediction of the possibility that the predicted person is the target person.

[0018] Optionally, determine the weights corresponding to each impact factor, including:

[0019] For any influencing factor, determine the first number of control persons whose behavior records meet the influencing factor; for any target behavior feature, determine the sum of all first numbers; for any influencing factor, determine the ratio of the first number corresponding to the influencing factor to the sum as the weight of the influencing factor. Optionally, the control person data includes at least one control person sub-data, each control person sub-data is the data of a control person with a corresponding preset behavior; the suspected target person determination method provided in the embodiment of the present application also includes:

[0020] For any control personnel sub-data, the data of the suspected target personnel and the overlapping personnel in the control personnel sub-data are determined; and the overlapping personnel data are determined to be the data of the suspicious personnel who have committed the preset behavior again.

[0021] Optionally, the control person sub-data includes first control person sub-data having a first preset behavior and second control person sub-data having a second preset behavior, and the overlapping person data includes first overlapping person sub-data and second overlapping person sub-data, the first overlapping person sub-data is the suspicious person data who has repeated the first preset behavior, and the second overlapping person sub-data is the suspicious person data who has repeated the second preset behavior; the method for determining a suspected target person provided in the embodiment of the present application also includes:

[0022] Perform companion analysis on the first person and determine that the first person is a suspicious person who has committed the first preset behavior again through the companion data of the first person; perform face collision on the companion data and the second person data to determine the relationship network library of suspected target persons; the second person is a suspicious person who has committed the second preset behavior again.

[0023] Optionally, the method for determining a suspected target person provided in the embodiment of the present application further includes:

[0024] The peer relationship between the third person and the first person is obtained, and the third person is a person in the relationship network database of the suspected target person; if the third person has a peer relationship with multiple first persons, the third person is determined to be the person who has committed the second preset behavior again.

[0025] The following introduces the target person determination device, equipment, storage medium and computer storage medium provided in the embodiments of the present application. The content and effects thereof can be referred to the first aspect and the optional suspected target person determination method of the first aspect, and will not be repeated here.

[0026] In a second aspect, an embodiment of the present application provides a target person determination device, wherein a suspected target person is a person suspected of having a target behavior; the device comprises:

[0027] The first acquisition module is configured to acquire the data of the control person, where the control person is a person who has been determined to have had the target behavior; the first determination module is configured to determine the behavioral characteristics of the control person related to the target behavior based on the control person data; the second acquisition module is configured to acquire the data of the person to be tested; the second determination module is configured to determine the possibility that the person to be tested is the target person based on the data and behavioral characteristics of the person to be tested; the third determination module is configured to determine that the data of the predicted person is the suspected target person data when the possibility that the person to be tested is the target person meets the preset conditions.

[0028] Optionally, the second determining module is specifically configured to:

[0029] According to the data of the person to be tested, the target behavior record of the person to be tested that matches the behavior characteristics is determined; according to the target behavior record, the target behavior characteristics corresponding to the target behavior record are determined; according to the target behavior characteristics and the target behavior record, the possibility that the person to be tested is the target person is determined.

[0030] Optionally, the second determining module is further configured to:

[0031] Determine the weight corresponding to each target behavior feature; determine the number of target behavior records corresponding to each target behavior feature; for any target behavior feature, calculate the first product of the number of target behavior records and the weight; sum all first products to determine the possibility that the person to be tested is the target person.

[0032] Optionally, the second determining module is further configured to:

[0033] Determine at least one influencing factor corresponding to each target behavior feature; determine the weight corresponding to each influencing factor; for any influencing factor, determine the number of target behavior records that match the influencing factor, and calculate the second product of the number of target behavior records and the weight corresponding to the influencing factor; sum all the second products to determine the possibility that the person to be tested is the target person.

[0034] Optionally, the second determining module is further configured to:

[0035] For any influencing factor, determine the first number of control personnel whose behavior records meet the influencing factor; for any target behavior feature, determine the sum of all first numbers; for any influencing factor, determine the ratio of the first number corresponding to the influencing factor to the sum as the weight of the influencing factor. Optionally, the control personnel data includes at least one control personnel sub-data, and each control personnel sub-data is the data of the control personnel with the corresponding preset behavior.

[0036] The device also includes a fourth determining module, the fourth determining module being configured to:

[0037] For any control personnel sub-data, the data of the suspected target personnel and the overlapping personnel in the control personnel sub-data are determined; and the overlapping personnel data are determined to be the data of the suspicious personnel who have committed the preset behavior again.

[0038] Optionally, the control person sub-data includes first control person sub-data having a first preset behavior and second control person sub-data having a second preset behavior, and the overlapping person data includes first overlapping person sub-data and second overlapping person sub-data, the first overlapping person sub-data is the suspicious person data who has repeated the first preset behavior, and the second overlapping person sub-data is the suspicious person data who has repeated the second preset behavior;

[0039] The suspected target person determination device provided in the embodiment further includes a fifth determination module, which is specifically configured as follows:

[0040] Perform companion analysis on the first person and determine that the first person is a suspicious person who has committed the first preset behavior again through the companion data of the first person; perform face collision on the companion data and the second person data to determine the relationship network library of suspected target persons; the second person is a suspicious person who has committed the second preset behavior again.

[0041] Optionally, the suspected target person determination device provided in the embodiment of the present application further includes:

[0042] The third acquisition module is configured to obtain the peer relationship between the third person and the first person, and the third person is a person in the relationship network library of suspected target persons; the sixth determination module is configured to determine that the third person is a person who has committed the second preset behavior again if the third person has a peer relationship with multiple first persons.

[0043] In a third aspect, an embodiment of the present invention provides a server, including:

[0044] A processor; a memory; and a computer program; wherein the computer program is stored in the memory and is configured to be executed by the processor, and the computer program includes instructions configured to execute the method for determining a suspected target person as in the first aspect and the optional manner of the first aspect.

[0045] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, wherein the computer program enables a server to execute the method for determining a suspected target person described in the first aspect and the optional manner of the first aspect.

[0046] In a fifth aspect, an embodiment of the present invention provides a computer program product, comprising: executable instructions, wherein the executable instructions are configured to implement the method for determining a suspected target person as in the first aspect or in an optional manner of the first aspect.

[0047] The suspected target person determination method, device, equipment and storage medium provided in the embodiments of the present application obtain the control person data, the control person is the determined target person; according to the control person data, the behavioral characteristics of the control person are determined; the data of the person to be tested is obtained; according to the data of the person to be tested and the behavioral characteristics, the possibility of the person to be tested being the target person is determined; when the possibility of the person to be tested being the target person meets the preset conditions, the data of the predicted person is determined to be the suspected target person data. The possibility of the person in the person to be tested data being the target person is calculated according to the data of the person to be tested and the behavioral characteristics of the control person, so as to determine the suspected target person data in the person to be tested data, thereby realizing the judgment of the suspected target person and improving the accuracy of the target person data. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0049] Figure 1 It is a flowchart of a method for determining a suspected target person provided by an embodiment of the present application;

[0050] Figure 2 is an exemplary application scenario diagram provided by an embodiment of the present application;

[0051] Figure 3 is a flowchart of a method for determining a suspected target person provided by another embodiment of the present application;

[0052] Figure 4 is a flowchart of a method for determining a suspected target person provided by another embodiment of the present application;

[0053] Figure 5 is a flowchart of a method for determining a suspected target person provided by another embodiment of the present application;

[0054] Figure 6 It is a structural schematic diagram of a device for determining a suspected target person provided in an embodiment of the present application;

[0055] Figure 7 is a schematic diagram of the structure of a device for determining a suspected target person provided by another embodiment of the present application;

[0056] Figure 8 It is a schematic diagram of the structure of the device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can, for example, be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0059] With the development of social economy and the improvement of people's living standards, there are more and more temptations in society. Some behaviors of people may bring certain harm to society or themselves. In the prior art, in order to realize the monitoring of people who have had target behaviors, it is usually adopted to require people who have had target behaviors to wear electronic devices, and obtain the movement trajectory, vital signs and other information of people who have had target behaviors through electronic devices, or to monitor people who have had target behaviors by uploading monitoring information autonomously through electronic devices, so as to judge whether people who have had target behaviors have target behaviors again. It is impossible to judge the data of people who have not had target behaviors. In order to solve the above technical problems, the embodiments of the present application provide a method, device, equipment and storage medium for determining suspected target persons.

[0060] Figure 1 It is a flow chart of a method for determining a suspected target person provided in an embodiment of the present application. The method can be executed by a suspected target person determining device, and the device can be implemented by software and / or hardware. For example, the device can be a client or a terminal device, and the terminal device can be a personal computer, a smart phone, a user terminal, a tablet computer, a wearable device, etc. The method for determining a suspected target person is explained below with the terminal device as the execution subject.

[0061] First, an exemplary application scenario of an embodiment of the present invention is introduced.

[0062] The method for determining suspected target persons provided by the implementation of this application can be applied in the public security system, by supervising the persons in the data of persons to be tested, and determining the suspicious persons in the data of persons to be tested based on the behavioral characteristics of the control persons and the behavioral records of the persons in the data of persons to be tested, so as to obtain the data of suspected target persons. Figure 2 is an exemplary application scenario diagram provided in the embodiment of the present application, such as Figure 1 As shown, the method provided in the embodiment of the present application can be applied to the terminal device 11 in the public security system. The terminal device 11 can be connected to the server 12 or other network devices to obtain information such as personnel behavior records in the data of the person to be tested. The types of terminal devices and servers in the embodiment of the present application are not limited.

[0063] like Figure 1 As shown, the method for determining a suspected target person provided in the embodiment of the present application may include:

[0064] Step S101: Acquire control person data, where the control person is a target person who has been determined to have had a target behavior.

[0065] The suspected target person is a person suspected of having the target behavior. The control person determines the target person who has had the target behavior. The embodiment of the present application does not limit the specific type of the target person. For example, the target behavior can be Internet addiction and the like. Correspondingly, the target person can be an Internet addict, etc. The embodiment of the present application does not limit this. The acquisition of the control person data can also be obtained through the public security system. In a possible implementation, the control person data can include the facial image of the control person and the basic information of the control person, and can also include information such as the behavior record of the control person. The embodiment of the present application does not limit this.

[0066] Optionally, after obtaining the control person data, the control person data may be cleaned, such as re-examining and verifying the data to delete duplicate information, correct existing errors, and provide data consistency. For example, only the facial image of the control person and the basic information corresponding to the data of the person to be tested may be retained, and the embodiments of the present application are not limited to this.

[0067] Step S102: Determine the behavior characteristics of the control person related to the target behavior based on the control person data.

[0068] The control persons may have common behavioral characteristics or relatively similar behavioral characteristics. If the social person has such behavioral characteristics, there is reason to suspect that the social person is the target person. Therefore, it is very important to determine the behavioral characteristics of the control persons. The embodiment of the present application does not limit the method of determining the behavioral characteristics of the control persons based on the control person data. In one possible implementation, the correlation between the daily behavior of the control person and the target behavior of the control person can be determined by obtaining the behavior records of the control person, and the behavior with higher correlation can be selected as the behavioral characteristics, etc. In another possible implementation, the common behavior or similar behavior of the control person can be judged, and the behavior of this type can be used as the behavioral characteristics, etc. The embodiment of the present application does not limit the specific behavior of the behavioral characteristics, as long as it is related to the target behavior.

[0069] In a possible implementation, the control person data may include any one or more of the following records: Internet cafe surfing records, hotel accommodation records, travel records, employment records, call records, social records, and payment records. Based on the above behavior records, it can be determined that the behavior characteristics of the control person are any one of Internet cafe surfing, hotel accommodation, travel, employment, call, social, payment, etc.

[0070] The behavior features in the implementation of this application are not limited to the behavior features listed above, and the behavior features selected for different target areas may also be different, and the embodiments of this application do not limit this. For any of the above behavior features, at least one influencing factor corresponding to each behavior feature may also be included. For example, in the Internet cafe Internet surfing behavior characteristics, whether the person enters and exits the Internet cafe at the same time as the control person, or is in the same private room with the control person, or whether the time of entering and exiting the Internet cafe is late at night or whether it is all night, etc.; in the hotel accommodation behavior characteristics, whether the person books a room for a long time, whether the person checks into the hotel in the second half of the night, whether the person lives with the control person, and whether the person checks into multiple hotels at the same time, etc.; in the travel behavior characteristics, whether the person goes in and out of high-risk areas, whether the person travels with the control person many times, and whether the person goes in and out of red-light districts, etc.; in the employment behavior characteristics, whether the person has worked in singing and entertainment venues, hotels, bars, etc.; in the call behavior characteristics, whether there are multiple calls with the control person, or whether there are multiple call behavior characteristics in high-risk areas; in the social behavior characteristics, the frequency of sensitive words, etc., the frequency of communication with the control person, and whether some bad websites are often visited, etc.; in the payment behavior characteristics, whether there are transactions with the control person, the amount and frequency of transactions, etc., the embodiments of the present application are not limited to this.

[0071] Step S103: Acquire the data of the person to be tested.

[0072] Obtaining the data of the person to be tested, it can be obtained through the population database data in the public security system, and the embodiment of the present application does not limit the specific implementation method of obtaining the data of the person to be tested. In the analysis of the person to be tested within different regional ranges, it may be necessary to obtain the data of the person to be tested in different target areas, and the target area can be a certain district, a certain prefecture-level city, a certain province, a certain country, and the area divided by the user, and the specific scope of the target area of ​​the embodiment of the present application is not limited. Taking the target area as a certain city as an example, obtaining the data of the person to be tested in a certain city can be obtained through the public security system of a certain city. In addition, the data of the person to be tested can specifically include the image of the person to be tested, the basic information of the person to be tested, and the historical behavior record of the person to be tested. For example, the basic information of the person to be tested can include the name, age, gender, occupation, place of household registration, current address, ID card information, education level, marriage, political outlook, vehicle information, etc. of the personnel to be tested, and the behavior record of the person to be tested can include Internet cafe Internet access record, hotel accommodation record, travel record, employment record, call record, social record, payment record, etc., and the embodiment of the present application does not limit the specific content of the basic information and behavior record of the person to be tested.

[0073] Step S104: Determine the possibility that the person to be tested is the target person based on the data and behavior characteristics of the person to be tested.

[0074] The data of the person to be tested includes the facial image and basic information of the person to be tested. Through the facial image of the person to be tested and the facial recognition technology, the behavior record of the person to be tested can be obtained in combination with the monitoring equipment, for example, the Internet cafe Internet access record, hotel accommodation record, travel record, employment record and other information of the person to be tested, or in combination with the public security population data system and application software data, the Internet cafe Internet access record, hotel accommodation record, travel record, employment record, call record, social record, payment record and other information of the person to be tested can be queried through the identity information of the person to be tested, and finally, combined with the behavior record and behavior characteristics of the person to be tested, the possibility of the person to be tested being the target person can be determined.

[0075] The embodiment of the present application does not limit the specific implementation method of determining the possibility that the person to be tested is the target person according to the data and behavior characteristics of the person to be tested. In a possible implementation method, determining the possibility that the person to be tested is the target person according to the data and behavior characteristics of the person to be tested includes:

[0076] According to the data of the person to be tested, the target behavior record of the person to be tested that matches the behavior characteristics is determined; according to the target behavior record, the target behavior characteristics corresponding to the target behavior record are determined; according to the target behavior characteristics and the target behavior record, the possibility that the person to be tested is the target person is determined.

[0077] The data of the person to be tested includes the basic data and behavior records of the person to be tested. By comparing the behavior characteristics of the person, the target behavior records of the person to be tested that match the behavior characteristics can be determined in the behavior records in the data of the person to be tested. For example, the target behavior records can be Internet cafe Internet access records and hotel accommodation records, and then the target behavior characteristics corresponding to the target behavior records are determined according to the target behavior records. If the target behavior records are Internet cafe Internet access records and hotel accommodation records, then the target behavior characteristics are Internet cafe Internet access and hotel accommodation. Then, the possibility of the person to be tested being the target person is determined through the Internet cafe Internet access records and hotel accommodation records.

[0078] Due to different target areas or different needs, the behavioral characteristics adopted by users are different. The behavioral records of the person to be tested that match the behavioral characteristics can be obtained to calculate the possibility that the person to be tested is the target person based on the behavioral records that match the behavioral characteristics and the behavioral characteristics. For example, the target behavioral characteristics adopted by the user are surfing the Internet in an Internet cafe and staying in a hotel. Therefore, based on the above-mentioned behavioral characteristics and / or the influencing factors corresponding to each behavioral characteristic, it is possible to combine the facial image, basic information, Internet cafe monitoring records, Internet cafe registration records, hotel monitoring records, and hotel registration records of the person to be tested to count whether the person to be tested enters and exits the Internet cafe at the same time as the control person, or is in the same private room with the control person, or whether the time of entering and exiting the Internet cafe is late at night or all night, whether the person uses a private room for a long time, whether he stays in the hotel in the second half of the night, whether he lives with the control person, and whether he stays in multiple hotels at the same time, so as to obtain the behavioral records of the person to be tested that match the behavioral characteristics.

[0079] If the person to be tested has the above-mentioned behavioral characteristics, points can be accumulated according to the number of times the above-mentioned behavioral characteristics exist. For example, if the person to be tested has any behavior in the influencing factors of the Internet cafe's Internet access record, one point will be accumulated each time. The hotel accommodation record is similar and will not be repeated here. Finally, the points of the person to be tested's Internet cafe record and the points of the hotel accommodation record are summed to obtain the suspicion score of the person to be tested as the target person.

[0080] The embodiments of the present application do not limit the specific implementation method of determining the possibility that the person to be tested is the target person based on the target behavior characteristics and target behavior records. Since the impact of each behavior characteristic on determining whether the person is the target person may be different, the reliability of the judgment of the suspected target person can also be improved by determining the weight corresponding to each behavior characteristic.

[0081] In a possible implementation, the possibility that the person to be tested is the target person is determined based on the target behavior characteristics and the target behavior records, including: determining the weight corresponding to each target behavior characteristic; determining the number of target behavior records corresponding to each target behavior characteristic; for any target behavior characteristic, calculating the first product of the number of target behavior records and the weight; and summing all first products to determine the possibility that the person to be tested is the target person.

[0082] The embodiments of the present application do not limit the specific implementation method of obtaining the weight of each behavior feature. For example, the user sets the weight for each behavior feature according to the actual situation, or multiple police officers, professionals, etc. set the weight for each behavior feature. Finally, the weight of each behavior feature can be determined by taking the average value. The embodiments of the present application do not limit the method of determining the weight of each behavior feature. For example, Table 1 is an exemplary method of setting the weight of the behavior feature.

[0083] Table 1 shows an exemplary weight setting method for behavioral features.

[0084] Behavioral characteristics Expert 1's evaluation Expert 2's evaluation Expert 3's evaluation Average of 3 experts Internet cafes D11 D21 D31 (D11+D21+D31) / 3 Hotel accommodation D12 D22 D32 (D12+D22+D32) / 3 Travel behavior D13 D23 D33 (D13+D23+D33) / 3 Employment Record D14 D24 D34 (D14+D24+D34) / 3

[0085] Exemplarily, the target behavior characteristics include Internet cafe surfing, hotel accommodation, travel behavior and employment record. By referring to the evaluation opinions of different experts or expert groups, for example, three experts are selected to make weight judgments on each behavior characteristic respectively, and finally the average value of the three experts is selected to determine the weight of each behavior characteristic. For details, please refer to Table 1, and the embodiments of the present application are not limited to this.

[0086] After the target behavior feature is determined, the number of target behavior records corresponding to each target behavior feature is determined in the behavior record of the person to be tested, and then for any target behavior feature, the first product of the number of target behavior records and the weight is calculated, and finally all the first products are summed to determine the suspicion score of the person to be tested as the target person. This embodiment of the application does not limit this.

[0087] In another possible implementation, calculating the probability that the person to be tested is the target person according to the target behavior characteristics and the target behavior record includes:

[0088] Determine at least one influencing factor corresponding to each target behavior feature; determine the weight corresponding to each influencing factor; for any influencing factor, determine the number of target behavior records that match the influencing factor, and calculate the second product of the number of target behavior records and the weight corresponding to the influencing factor; sum all the second products to determine the possibility that the person to be tested is the target person.

[0089] Each target behavior feature corresponds to at least one influencing factor. Taking the target behavior feature as hotel accommodation as an example, the influencing factors of hotel accommodation may include personal long-term room booking, staying in a hotel in the late night, living with control persons, and staying in multiple hotels at the same time, etc. The embodiment of the present application does not limit the specific implementation method of determining the influencing factors of the behavior features. Taking this as an example, the embodiment of the present application does not limit the implementation method of determining the weight corresponding to each influencing factor. Optionally, determining the weight corresponding to each influencing factor includes: for any influencing factor, determining the first number of control persons whose behavior records meet the influencing factor; for any target behavior feature, determining the sum of all first numbers; for any influencing factor, determining the ratio of the first number corresponding to the influencing factor to the sum as the weight of the influencing factor. For example, Table 2 is an exemplary weight distribution table of influencing factors of hotel accommodation.

[0090] Table 2 is an exemplary weight distribution table of factors affecting hotel accommodation

[0091]

[0092] Among them, D 11 Taking the calculation of as an example, by counting the records of long-term personal reservations in the behavior records of the control personnel, 1x1 represents the number of control personnel who personally reserved a room for a long time, and x2 represents the number of control personnel who did not personally reserve a room for a long time. According to the above method, the correlation degree of other influencing factors of the hotel accommodation records is counted to obtain x3, x4, x5, x6, x7, and x8. Finally, according to the formula:

[0093]

[0094] The weight D11 of the individual's long-term room reservation is obtained. The weights of other influencing factors can be obtained in a similar manner, which will not be repeated here.

[0095] After determining the weight of any influencing factor, for any influencing factor, determine the number of target behavior records that match the influencing factor, and calculate the second product of the number of target behavior records and the weight corresponding to the influencing factor. Finally, sum up all the second products to determine the suspicion score of the person to be tested as the target person.

[0096] Step S105: When the possibility that the person to be measured is the target person meets the preset conditions, the data of the predicted person is determined to be the suspected target person data.

[0097] The embodiments of the present application do not limit the setting method of the preset conditions, and can be specifically set according to the expression form of the possibility that the person to be tested is the target person, and the embodiments of the present application do not limit this. Taking the possibility that the person to be tested is the target person represented by the suspicion score as an example, after obtaining the suspicion score of the target person, in one possible implementation, the person to be tested whose suspicion score of the target person ranks in a preset percentage can be determined as a suspected target person. In another possible implementation, the preset conditions include: the suspicion score of the target person is greater than a preset score threshold.

[0098] By setting a preset scoring threshold, and determining that a target person whose suspicion score is greater than the preset scoring threshold is a suspected target person, the embodiment of the present application does not limit the setting method and specific value of the preset scoring threshold.

[0099] In an embodiment of the present application, the possibility that the person in the data of the person to be tested is the target person is calculated based on the behavioral characteristics of the data of the person to be tested and the control person, so as to determine the suspected target person data in the data of the person to be tested, thereby realizing the judgment of the suspected target person data and improving the accuracy of the suspected target person data.

[0100] Optionally, the control personnel data includes at least one control personnel sub-data, and each control personnel sub-data is data of a control personnel having a corresponding preset behavior. Figure 3 : is a flow chart of a method for determining a suspected target person provided by another embodiment of the present application. The method can be executed by a suspected target person determining device, and the device can be implemented by software and / or hardware. For example, the device can be a client or a terminal device, and the terminal device can be a personal computer, a smart phone, a user terminal, a tablet computer, a wearable device, etc. The following describes the method for determining a suspected target person with the terminal device as the execution subject. Figure 3 As shown, the method for determining a suspected target person provided in the embodiment of the present application may also include:

[0101] Step S201: for any reference personnel sub-data, determine the overlapped personnel data between the suspected target personnel data and the reference personnel sub-data.

[0102] The embodiment of the present application does not limit the number and type of control personnel sub-data included in the control personnel data. In a possible implementation, the control personnel sub-data includes first control personnel sub-data having a first preset behavior and second control personnel sub-data having a second preset behavior, and the overlapping personnel data includes first overlapping personnel sub-data and second overlapping personnel sub-data, the first overlapping personnel sub-data is the suspicious personnel data that has repeated the first preset behavior, and the second overlapping personnel sub-data is the suspicious personnel data that has repeated the second preset behavior.

[0103] The possibility of the control person committing the preset behavior again is relatively high, and it is necessary to focus on monitoring the suspicious person who commits the first preset behavior again, so as to prevent the suspicious person who commits the first preset behavior again from committing the first preset behavior again and causing harm to himself and the society. Based on this, it is also necessary to determine the data of the suspicious person who commits the first preset behavior again. The suspicious person who commits the first preset behavior again in the embodiment of the present application includes the data of the suspected target person and the overlapping person data in the first control person sub-data. The embodiment of the present application does not limit the method of determining the data of the suspicious person who commits the first preset behavior again. For example, the suspicious person who commits the first preset behavior again can be determined by performing a face collision between the suspected target person and the control, wherein face collision refers to the process of establishing a Cartesian set of face similarity relationships between different face image sample sets through a comparison algorithm.

[0104] After determining the suspicious person who has committed the first preset behavior again, it is also possible to determine the group of people who may potentially commit the first preset behavior based on the data of the suspicious person who has committed the first preset behavior again. In a possible implementation, the method provided in the embodiment of the present application may also include: obtaining the behavior record of the data of the suspicious person who has committed the first preset behavior again; determining the group of people who may potentially commit the first preset behavior based on the behavior record of the data of the suspicious person who has committed the first preset behavior again.

[0105] Obtain the behavior records of the suspicious person data who has committed the first preset behavior again, for example, you can obtain the frequently used contacts of the suspicious person data who has committed the first preset behavior again, the call records in high-risk areas, the people who frequently go in and out of the Internet cafe together, the hotel that checked in at midnight, the people who stayed in the same hotel, the people who traveled together at a certain time, etc. Then, based on the obtained behavior records of the suspicious person data who has committed the first preset behavior again, you can get the people who are closely connected with the suspicious person data who has committed the first preset behavior again, and this kind of people is likely to be the people who are absconding. In addition, you can also analyze the behavior trajectory of the suspicious person data who has committed the first preset behavior again, and get the places where the suspicious person data who has committed the first preset behavior often enters and exits, and monitor the suspicious person data who has committed the first preset behavior again.

[0106] For the second comparison personnel sub-data, the suspicious personnel data who have performed the second preset behavior again are determined, and the suspicious personnel data who have performed the second preset behavior again include the suspected target personnel data and the overlapping personnel data in the second comparison personnel sub-data.

[0107] The possibility of the control person repeating the second preset behavior is relatively high, and the suspicious person who repeats the second preset behavior needs to be monitored closely to prevent the suspicious person who repeats the second preset behavior from repeating the second preset behavior again and causing harm to himself and the society. Therefore, it is necessary to determine the data of the suspicious person who repeats the second preset behavior. The suspicious person who repeats the second preset behavior in the embodiment of the present application includes the data of the suspected target person and the overlapping person data in the second control person sub-data. The embodiment of the present application does not limit the method of determining the data of the suspicious person who repeats the second preset behavior. For example, the suspicious person who repeats the second preset behavior can be determined by performing a face collision between the suspected target person and the control person.

[0108] Step S202: Determine that the overlapping personnel data is data of a suspicious person who has performed a preset behavior again.

[0109] Taking the above as an example, the control person sub-data includes the first control person sub-data with the first preset behavior and the second control person sub-data with the second preset behavior, and the overlapping person data includes the first overlapping person sub-data and the second overlapping person sub-data, the first overlapping person sub-data is the suspicious person data who has repeated the first preset behavior, and the second overlapping person sub-data is the suspicious person data who has repeated the second preset behavior. The embodiments of the present application do not limit this.

[0110] Optionally, there is a certain relationship between the first control person and the second control person, and a relationship network database of suspected target persons may be established by combining the information of the first control person and the second control person. Figure 4 1 is a flow chart of a method for determining a suspected target person provided by another embodiment of the present application. The method can be executed by a suspected target person determining device, and the device can be implemented by software and / or hardware. For example, the device can be a client or a terminal device, and the terminal device can be a personal computer, a smart phone, a user terminal, a tablet computer, a wearable device, etc. The following describes the method for determining a suspected target person with the terminal device as the execution subject. Figure 4 As shown, the method for determining a suspected target person provided in the embodiment of the present application may also include:

[0111] Step S301: Analyze the companions of the first person to determine the companion data of the first person, and the first person is a suspicious person who has committed the first preset behavior again.

[0112] For the suspicious persons who have committed the first preset behavior again, a companion analysis is performed on the suspicious persons who have committed the first preset behavior again. The monitoring device can record the persons who are captured together with the first person and determined to be the same person within a period of time as the companions of the first person. In the above manner, the companion data of the first person is obtained by performing a companion analysis on all the suspicious persons who have committed the first preset behavior again, that is, the first person. The companion data may include facial images, basic information, and information of the first person who has traveled with the companion, etc., and the embodiments of the present application do not limit this.

[0113] Step S302: Perform face collision on the data of the traveling companion and the data of the second person to determine the relationship network of the suspected target person, and the second person is a suspicious person who has performed the second preset behavior again.

[0114] By performing face collision between the data of the peers and the data of the suspicious person who has performed the second preset behavior again, the persons with higher similarity between the data of the peers and the second person and the data of the persons with higher similarity are determined, so as to determine the relationship network library of the suspected target persons. The relationship network library of the suspected target persons may include the data of the persons who overlap with the data of the peers and the data of the suspicious person who has performed the second preset behavior again, as well as the relationship between the persons in the overlapping data and the second person. The embodiments of the present application do not limit this.

[0115] Optional, Figure 5 1 is a flow chart of a method for determining a suspected target person provided by another embodiment of the present application. The method can be executed by a suspected target person determining device, and the device can be implemented by software and / or hardware. For example, the device can be a client or a terminal device, and the terminal device can be a personal computer, a smart phone, a user terminal, a tablet computer, a wearable device, etc. The following describes the method for determining a suspected target person with the terminal device as the execution subject. Figure 5 As shown, the method for determining a suspected target person provided in the embodiment of the present application may also include

[0116] Step S401: Obtain the peer relationship between the third person and the first person, where the third person is any person in the suspected target person relationship database.

[0117] There is a peer relationship between the person in the suspected target person relationship network library and the first person, that is, the third person may have a peer relationship with at least one first person. The peer relationship between the third person and the first person can be obtained through the data in the suspected target person relationship network library, and the embodiment of the present application does not limit this.

[0118] Step S402: If the third person is in a traveling relationship with multiple first persons, the third person is determined to be a person who has performed the second preset behavior again.

[0119] If the third person has a business relationship with multiple first persons, the embodiment of the present application does not limit the number of first persons who have a business relationship with the third person. For example, this can be achieved by setting a preset number.

[0120] After determining that the third person is the person who has committed the second preset behavior again, an alarm message can be sent to the user to remind the user of the suspiciousness of the third person, so that the user can monitor or even arrest the third person. The alarm message can be sent to the user by pushing a message or emitting an alarm sound on the terminal device. The embodiment of the present application does not limit the method and specific content of sending the alarm message to the user.

[0121] Optionally, the method for determining a suspected target person provided in an embodiment of the present application further includes: obtaining a behavior record of a third person; and determining a person who may potentially perform a second preset behavior based on the behavior record of the third person.

[0122] The behavior record of the third person may include the behavior record introduced in the above embodiment, which will not be repeated here. The method of determining the suspicious person who may potentially commit the second preset behavior based on the behavior record of the third person may be determined by analyzing the third person's companions based on the behavior record of the third person, or determining the third person's most frequent contacts, contacts in high-risk areas, people who frequently go in and out of Internet cafes together, people who live in a hotel together, etc. as the suspicious person who may potentially commit the second preset behavior. The embodiment of the present application does not limit the method of determining the group of suspicious persons who may potentially commit the second preset behavior based on the behavior record of the third person.

[0123] The following are device embodiments of the present invention, which can be configured to perform method embodiments of the present invention. For details not disclosed in the device embodiments of the present invention, please refer to the method embodiments of the present invention.

[0124] Figure 6 is a schematic diagram of the structure of a target person determination device provided in an embodiment of the present application. The suspected target person is a person suspected of having target behavior. The device can be implemented by software and / or hardware. For example, the device can be a client or a terminal device. The terminal device can be a personal computer, a smart phone, a user terminal, a tablet computer, a wearable device, etc. Figure 6 As shown, the target personnel determination device provided in the embodiment of the present application may include:

[0125] The first acquisition module 61 is configured to acquire control person data, where the control person is a person who has been determined to have had a target behavior;

[0126] A first determination module 62 is configured to determine the behavior characteristics of the control person related to the target behavior based on the control person data;

[0127] The second acquisition module 63 is configured to acquire the data of the person to be tested;

[0128] The second determination module 64 is configured to determine the possibility that the person to be tested is the target person according to the data and behavior characteristics of the person to be tested;

[0129] The third determination module 65 is configured to determine that the data of the predicted person is the suspected target person data when the possibility that the person to be measured is the target person meets the preset conditions.

[0130] The second determining module 64 is specifically configured to:

[0131] According to the data of the person to be tested, the target behavior record of the person to be tested that matches the behavior characteristics is determined; according to the target behavior record, the target behavior characteristics corresponding to the target behavior record are determined; according to the target behavior characteristics and the target behavior record, the possibility that the person to be tested is the target person is determined.

[0132] The second determining module 64 is further configured to:

[0133] Determine the weight corresponding to each target behavior feature; determine the number of target behavior records corresponding to each target behavior feature; for any target behavior feature, calculate the first product of the number of target behavior records and the weight; sum all first products to determine the possibility that the person to be tested is the target person.

[0134] The second determining module 64 is further configured to:

[0135] Determine at least one influencing factor corresponding to each target behavior feature; determine the weight corresponding to each influencing factor; for any influencing factor, determine the number of target behavior records that match the influencing factor, and calculate the second product of the number of target behavior records and the weight corresponding to the influencing factor; sum all the second products to determine the possibility that the person to be tested is the target person.

[0136] Optionally, the second determining module 64 is further configured to:

[0137] For any influencing factor, determine the first number of control persons whose behavior records meet the influencing factor; for any target behavioral feature, determine the sum of all first numbers; for any influencing factor, determine the ratio of the first number corresponding to the influencing factor to the sum as the weight of the influencing factor.

[0138] In a possible implementation, the first acquisition module and the second acquisition module may be transmission interfaces, and the first determination module, the second determination module and the third determination module may all be completed by a processing module, which may be, for example, a processor.

[0139] Optional, Figure 7 is a schematic diagram of the structure of a suspected target person identification device provided by another embodiment of the present application. The device can be implemented by software and / or hardware. For example, the device can be a client or a terminal device. The terminal device can be a personal computer, a smart phone, a user terminal, a tablet computer, a wearable device, etc. Figure 7 As shown, the control person data includes at least one control person sub-data, each control person sub-data is data of a control person with a corresponding preset behavior, and the suspected target person determination device provided in the embodiment of the present application may also include a fourth determination module 66,

[0140] The fourth determination module 66 is configured to:

[0141] For any control personnel sub-data, the data of the suspected target personnel and the overlapping personnel in the control personnel sub-data are determined; and the overlapping personnel data are determined to be the data of the suspicious personnel who have committed the preset behavior again.

[0142] Optionally, the control person sub-data includes first control person sub-data having a first preset behavior and second control person sub-data having a second preset behavior, and the overlapping person data includes first overlapping person sub-data and second overlapping person sub-data, the first overlapping person sub-data is the suspicious person data who has repeated the first preset behavior, and the second overlapping person sub-data is the suspicious person data who has repeated the second preset behavior;

[0143] The suspected target person determination device provided in the embodiment of the present application may further include a fifth determination module 67, and the fifth determination module 67 is specifically configured as follows:

[0144] Perform companion analysis on the first person and determine that the first person is a suspicious person who has committed the first preset behavior again through the companion data of the first person; perform face collision on the companion data and the second person data to determine the relationship network library of suspected target persons; the second person is a suspicious person who has committed the second preset behavior again.

[0145] Optionally, the suspected target person determination device provided in the embodiment of the present application may further include:

[0146] The third acquisition module 68 is configured to acquire the peer relationship between the third person and the first person, where the third person is a person in the suspected target person relationship database.

[0147] The sixth determination module 69 is configured to determine that the third person is a person who has performed the second preset behavior again if the third person has a traveling relationship with multiple first persons.

[0148] In a possible implementation, the third acquisition module may be a transmission interface of a processor, and the fourth determination module, the fifth determination module and the sixth determination module may all be completed by a processing module, which may be, for example, a processor.

[0149] Figure 8 is a schematic diagram of the structure of the device provided in the embodiment of the present application, such as Figure 8 As shown, the device includes:

[0150] Processor 81, memory 82, transceiver 83 and computer program; wherein, transceiver 83 realizes data transmission between other devices, the computer program is stored in memory 82, and is configured to be executed by processor 81, the computer program includes instructions configured to execute the above-mentioned suspected target person determination method, and its content and effect please refer to the method embodiment.

[0151] In addition, an embodiment of the present application further provides a computer-readable storage medium, in which computer-executable instructions are stored. When at least one processor of a user device executes the computer-executable instructions, the user device executes the above-mentioned various possible methods.

[0152] Among them, computer-readable media include computer storage media and communication media, wherein the communication media include any media that facilitates the transmission of computer programs from one place to another. The storage medium can be any available medium that can be accessed by a general or special-purpose computer. An exemplary storage medium is coupled to the processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be an integral part of the processor. The processor and the storage medium can be located in an ASIC. In addition, the ASIC can be located in a user device. Of course, the processor and the storage medium can also be present in a communication device as discrete components.

[0153] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0154] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for determining a suspected target person, wherein the suspected target person is a person suspected of having a target behavior; characterized in that: The method comprises: Acquiring control person data, wherein the control person is a person who has been determined to have had the target behavior; Determining, based on the control person data, behavioral characteristics of the control person related to the target behavior; Obtain the data of the person to be tested; Determining, based on the data of the person to be tested, a target behavior record of the person to be tested that matches the behavior feature; Determining, according to the target behavior record, a target behavior feature corresponding to the target behavior record; Determine at least one influencing factor corresponding to each of the target behavior characteristics; the influencing factor is a preset behavior; For any influencing factor, determining a first number of the control persons whose behavior records meet the influencing factor; For any target behavior feature, determine the sum of all first quantities; For any influencing factor, determine that the ratio of the first number corresponding to the influencing factor to the total is the weight of the influencing factor; For any influencing factor, determine the number of target behavior records matching the influencing factor, and calculate a second product of the number of target behavior records and the weight corresponding to the influencing factor; Sum all the second products to determine the probability that the person to be tested is the target person; When the possibility that the person to be tested is the target person meets the preset conditions, the data of the person to be tested is determined to be data of a suspected target person; The control personnel data includes first control personnel sub-data having a first preset behavior and second control personnel sub-data having a second preset behavior; the method further includes: For any of the control personnel sub-data, determine the suspected target personnel data and the overlapping personnel data in the control personnel sub-data; the overlapping personnel data includes first overlapping personnel sub-data and second overlapping personnel sub-data, the first overlapping personnel sub-data is the suspicious personnel data who has committed the first preset behavior again, and the second overlapping personnel sub-data is the suspicious personnel data who has committed the second preset behavior again; Performing a companion analysis on the first person to determine the companion data of the first person, wherein the first person is the suspicious person who has committed the first preset behavior again; Perform face collision on the data of the traveling companion and the data of the second person to determine a suspected target person relationship network library; the second person is the suspicious person who has committed the second preset behavior again; the suspected target person relationship network library includes the data of the people whose data of the traveling companion and the data of the second person overlap; Acquire a peer relationship between a third person and the first person, wherein the third person is a person in the relationship network database of the suspected target person; If the third person is in a traveling relationship with multiple of the first persons, the third person is determined to be the person who has performed the second preset behavior again.

2. A device for determining a suspected target person, wherein the suspected target person is a person suspected of having a target behavior; characterized in that: include: A first acquisition module is configured to acquire control person data, where the control person is a person who has been determined to have had the target behavior; A first determination module is configured to determine the behavior characteristics of the control person related to the target behavior based on the control person data; A second acquisition module is configured to acquire data of the person to be tested; A second determination module is configured to determine the possibility that the person to be tested is the target person according to the data of the person to be tested and the behavior characteristics; A third determination module is configured to determine that the data of the person to be tested is suspected target person data when the possibility that the person to be tested is the target person meets a preset condition; The second determining module is specifically configured to: Determining, based on the data of the person to be tested, a target behavior record of the person to be tested that matches the behavior feature; Determining, according to the target behavior record, a target behavior feature corresponding to the target behavior record; Determining the possibility that the person to be tested is the target person according to the target behavior characteristics and the target behavior record; The second determining module is further configured to: Determine at least one influencing factor corresponding to each of the target behavior characteristics; Determine the weight corresponding to each of the influencing factors; For any influencing factor, determine the number of target behavior records matching the influencing factor, and calculate a second product of the number of target behavior records and the weight corresponding to the influencing factor; Sum all the second products to determine the probability that the person to be tested is the target person; The control personnel data includes first control personnel sub-data having a first preset behavior and second control personnel sub-data having a second preset behavior; The device also includes a third acquisition module, a fourth determination module, a fifth determination module and a sixth determination module; The fourth determination module is configured to determine, for any of the control personnel sub-data, the suspected target personnel data and the overlapping personnel data in the control personnel sub-data; the overlapping personnel data includes first overlapping personnel sub-data and second overlapping personnel sub-data, the first overlapping personnel sub-data is the suspicious personnel data who has committed the first preset behavior again, and the second overlapping personnel sub-data is the suspicious personnel data who has committed the second preset behavior again; The fifth determination module is configured to perform a companion analysis on the first person, determine the companion data of the first person, and determine that the first person is the suspicious person who has committed the first preset behavior again; perform face collision on the companion data and the second person data to determine a suspected target person relationship network library; the second person is the suspicious person who has committed the second preset behavior again; the suspected target person relationship network library includes the overlapping personnel data of the companion data and the second person data; The third acquisition module is configured to acquire a peer relationship between a third person and the first person, wherein the third person is a person in the relationship network database of the suspected target person; The sixth determination module is configured to determine that the third person is a person who has performed the second preset behavior again if the third person is in a traveling relationship with a plurality of the first persons; The second determining module is further configured to: For any influencing factor, determining a first number of the control persons whose behavior records meet the influencing factor; For any target behavior feature, determine the sum of all first quantities; For any influencing factor, determine a ratio of the first quantity corresponding to the influencing factor to the total as the weight of the influencing factor.

3. An electronic device, characterized in that: include: processor; Memory; as well as Computer programs; The computer program is stored in the memory and configured to be executed by the processor, wherein the computer program includes instructions configured to execute the method according to claim 1.

4. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program causes the server to execute the method of claim 1 .

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