CN106791230B - Telephone number identification method and device - Google Patents
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- CN106791230B CN106791230B CN201510835030.9A CN201510835030A CN106791230B CN 106791230 B CN106791230 B CN 106791230B CN 201510835030 A CN201510835030 A CN 201510835030A CN 106791230 B CN106791230 B CN 106791230B
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/42—Systems providing special services or facilities to subscribers
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Abstract
The disclosure relates to a telephone number identification method and device. The method comprises the following steps: determining a number type corresponding to the telephone number; acquiring mark classifications corresponding to the number types and a weight coefficient corresponding to each mark classification; and marking the telephone number according to the marking quantity and the weight coefficient of the marking classification corresponding to the telephone number. The technical scheme combines the corresponding characteristics of different number types, different weight coefficients are given to each mark classification of the number types, the problem that the telephone number is marked inaccurately and unreasonably finally due to the fact that emotional factors exist in user marks is avoided, the telephone number can be marked more reasonably and reliably, and the marking result accuracy and the reliability are higher.
Description
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a method and an apparatus for identifying a phone number.
Background
Currently, the user may mark the type of telephone number, e.g., the telephone number may be marked as an advertising number, a customer service telephone, a fraud telephone, and so on. After the server acquires the mark of a certain telephone number by a user, the server counts the number of the same telephone number marked as a certain classification by a plurality of different users, and when the number reaches a certain threshold value, the corresponding classification is displayed when the user receives the incoming call of the telephone number.
Disclosure of Invention
The embodiment of the disclosure provides a telephone number identification method and a telephone number identification device. The technical scheme is as follows:
according to a first aspect of the embodiments of the present disclosure, there is provided a telephone number identification method, including:
determining a number type corresponding to the telephone number;
acquiring mark classifications corresponding to the number types and a weight coefficient corresponding to each mark classification;
and marking the telephone number according to the marking quantity and the weight coefficient of the marking classification corresponding to the telephone number.
Optionally, the number types include:
the system comprises a mobile phone telephone number, a fixed telephone number, a call center telephone number, a called centralized payment service telephone number, a calling and called sharing service telephone number and a short message telephone number.
Optionally, the determining a number type corresponding to the phone number includes:
acquiring the number of the preset digit of the telephone number;
and determining the number type according to the number of the pre-set digits.
Optionally, the marking the phone number according to the number of the marks classified according to the marks corresponding to the phone number and the weight coefficient includes:
respectively calculating the weight value of each label classification corresponding to the telephone number according to the label quantity and the weight coefficient of each label classification corresponding to the telephone number;
and marking the telephone number according to the weight value.
Optionally, the marking the phone number according to the weight value includes:
selecting the label classification with the maximum weight value to label the telephone number; or the like, or, alternatively,
and selecting the mark classification with the weight value exceeding a preset threshold value to mark the telephone number.
According to a second aspect of the embodiments of the present disclosure, there is provided a telephone number recognition apparatus including:
the determining module is used for determining the number type corresponding to the telephone number;
the acquisition module is used for acquiring the mark classification corresponding to the number type determined by the determination module and the weight coefficient corresponding to each mark classification;
and the marking module is used for marking the telephone number according to the marking quantity and the weight coefficient of the marking classification corresponding to the telephone number acquired by the acquisition module.
Optionally, the number type determined by the determining module includes:
the system comprises a mobile phone telephone number, a fixed telephone number, a call center telephone number, a called centralized payment service telephone number, a calling and called sharing service telephone number and a short message telephone number.
Optionally, the determining module includes:
the acquisition submodule is used for acquiring the digits of the preset digits of the telephone number;
and the determining submodule is used for determining the number type according to the number of the preset digit acquired by the acquiring submodule.
Optionally, the marking module includes:
the calculation submodule is used for calculating the weight value of each label classification corresponding to the telephone number according to the label quantity and the weight coefficient of each label classification corresponding to the telephone number;
and the marking submodule is used for marking the telephone number according to the weight value calculated by the calculating submodule.
Optionally, the labeling sub-module is configured to select the label classification with the largest weight value to label the phone number; or selecting the label classification with the weight value exceeding a preset threshold value to label the telephone number.
According to a third aspect of the embodiments of the present disclosure, there is provided a telephone number recognition apparatus including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
determining a number type corresponding to the telephone number;
acquiring mark classifications corresponding to the number types and a weight coefficient corresponding to each mark classification;
and marking the telephone number according to the marking quantity and the weight coefficient of the marking classification corresponding to the telephone number.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
according to the technical scheme, different weight coefficients are given to each mark classification of the number types by combining the corresponding characteristics of different number types, the problem that the telephone number is marked inaccurately and unreasonably finally due to the fact that the emotional factors exist in the user marks is avoided, the telephone number can be marked more reasonably and reliably, and the marking result accuracy and the reliability are higher.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a flow diagram illustrating a method of telephone number identification in accordance with an exemplary embodiment.
Fig. 2 is a flow chart illustrating a telephone number recognition method according to another exemplary embodiment.
Fig. 3 is a flow chart illustrating a method of telephone number identification according to another exemplary embodiment.
Fig. 4 is a block diagram illustrating a telephone number recognition apparatus according to an example embodiment.
FIG. 5 is a block diagram illustrating a determination module according to an exemplary embodiment.
FIG. 6 is a block diagram illustrating a tagging module according to an exemplary embodiment.
Fig. 7 is a block diagram illustrating an apparatus for telephone number recognition in accordance with an example embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The technical scheme provided by the embodiment of the disclosure relates to a server, and the server reasonably and accurately marks the type of the telephone number according to the type of the telephone number and the marking of the telephone number by a user, so that the marking result is more accurate and credible.
Fig. 1 is a flowchart illustrating a phone number recognition method according to an exemplary embodiment, where the phone number recognition method is used in a server, as shown in fig. 1, and includes the following steps:
in step S11, the number type corresponding to the telephone number is determined.
In step S12, the label classification corresponding to the number type and the weight coefficient corresponding to each label classification are acquired.
In step S13, the telephone number is labeled according to the number of labels and the weight coefficient of the label classification corresponding to the telephone number.
Wherein, the number type includes: a mobile phone number, a fixed phone number, a call center phone number (96 phone number), a called party centralized payment service phone number (400 phone number), a calling party shared service phone number (800 phone number), a short message phone number (106 phone number), and the like. Accordingly, fig. 2 is a flowchart illustrating a phone number recognition method according to another exemplary embodiment, and as shown in fig. 2, a number type corresponding to a phone number may be determined by:
in step S21, a number of a preset number of digits before the telephone number is acquired;
in step S22, the number type is determined based on the number of the previous preset digit.
For example, the first four digits of a telephone number may be identified. If 400x is recognized, it may be determined that the number is a called collect payment service phone number; if 800x is identified, the number may be determined to be a calling or called contribution service telephone number; if 106x is identified, the number can be determined to be a short message telephone number; if 138x, 188x, 152x, etc. are identified, the number may be determined to be a cell phone number; if 010x, 0311, 0571, etc. are recognized, it may be determined that the number is a fixed telephone number, etc.
Among them, 400 phone, 800 phone, 96 phone are all needed to apply for special application to the operator for use, and the cost is high, and they are generally used as customer service phones of enterprises, because the number of users who call these phones is large, it is not excluded that there is a possibility that users will mark them as fixed phone numbers of sales promotion, fraud, etc. that are fraud compared with mobile phone numbers, and because the fixed phone installation cost is high and the possibility of being tracked is high, the fixed phone numbers are generally used as outgoing phones for sales promotion, etc. The cost for changing the mobile phone number is low, and the mobile phone number can be discarded at any time, so that most fraud can use the mobile phone number.
In the embodiment, different weight coefficients are given to each mark classification of the number types by combining the corresponding characteristics of different number types, so that the problem that the telephone number is marked inaccurately and unreasonably finally due to the fact that the emotional factors exist in the user marks is avoided, the telephone number can be marked more reasonably and reliably, and the marking result accuracy and the reliability are higher.
In another embodiment, fig. 3 is a flowchart illustrating a telephone number recognition method according to another exemplary embodiment, where, as shown in fig. 3, labeling telephone numbers according to the number of labels and the weighting factor of the label classification corresponding to the telephone numbers includes:
in step S31, the weight value of each label classification corresponding to the telephone number is calculated based on the label number and the weight coefficient of each label classification corresponding to the telephone number.
In step S32, the telephone number is marked according to the weight value.
According to the characteristics of various numbers, mark classification fraud, promotion, intermediaries and the like are combined, and different number types are endowed with different weight coefficients aiming at different classifications. For example, 400 phones, 800 phones, are fraudulently weighted 50% and promoted 70%. The fixed telephone number is fraudulent with a weight factor of 60% and promotional with a weight factor of 100%. The phone number of the mobile phone is fraud weight coefficient of 90%, and promotion weight coefficient of 60%. The SMS phone number is promoted by 70% and fraud by 80%.
For example, when the number type of a certain telephone number is identified as a fixed telephone number, 20 people are marked as fraud and 16 people are marked as promotion.
Some users may find the receiving of the sales promotion telephone troublesome due to emotional factors, and mark the telephone number as fraud. It may not be practical if the server marks the telephone number as a fraud.
With the above embodiment, the weighting factor for obtaining a fixed telephone number is fraudulent is 60%, and the weighting factor for a promotion is 100%.
Then, for a mark classified as fraud, a weight value of 20 × 60% to 12 is calculated. For a mark classified as a promotion, a weight value of 16 × 100% ═ 16 is calculated, and the server can determine that the fixed telephone number is finally marked as a promotion.
It is clear that a fixed telephone number is less likely to be fraudulent and more likely to be promotional.
In the embodiment, different weight coefficients are given to each mark classification of the number types by combining the corresponding characteristics of different number types, so that the problem that the telephone number is marked inaccurately and unreasonably finally due to the fact that the emotional factors exist in the user marks is avoided, the telephone number can be marked more reasonably and reliably, and the marking result accuracy and the reliability are higher.
The telephone number can be marked by selecting the mark classification with the largest weight value. Alternatively, if at least two score classes can be labeled for the phone number, the label class with a weight value exceeding a preset threshold can be selected to label the phone number.
For example, the number type identifying a certain telephone number is a fixed telephone number, 20 people marked as fraud, 16 people marked as promotion, and 21 people marked as intermediary.
The fixed telephone number acquisition is fraudulent with a weight factor of 60%, promotion with a weight factor of 100%, and intermediary with a weight factor of 70%.
Then, for a mark classified as fraud, a weight value of 20 × 60% to 12 is calculated. For the label classification as promotion, a weight value of 16 × 100% ═ 16 was calculated, and for the label classification as intermediary, a weight value of 21 × 70% ═ 14.7 was calculated.
Thus, the server may select the label category with the highest weight value-the promotion labels the phone number; the telephone number may also be marked by selecting the label categories, promotions and intermediaries, with a weight value above a preset threshold 14.
In conclusion, different weight coefficients are given to each mark classification of the number types by combining the corresponding characteristics of different number types, so that the problem that the telephone number is marked inaccurately and unreasonably finally due to the fact that the user marks the telephone number by emotional factors is avoided, one or more classifications can be marked more reasonably and reliably, and the marking result accuracy and the reliability are higher.
The following are embodiments of the disclosed apparatus that may be used to perform embodiments of the disclosed methods.
Fig. 4 is a block diagram illustrating a telephone number recognition apparatus, which may be implemented as part or all of an electronic device through software, hardware, or a combination of both, according to an example embodiment. As shown in fig. 4, the telephone number recognition apparatus includes:
a determining module 41 configured to determine a number type corresponding to the phone number;
an obtaining module 42 configured to obtain the label classification corresponding to the number type determined by the determining module 41 and a weight coefficient corresponding to each label classification;
and the marking module 43 is configured to mark the telephone number according to the number of marks and the weighting coefficient of the mark classification corresponding to the telephone number acquired by the acquisition module 42.
The number types determined by the determining module 41 include: a mobile phone number, a fixed phone number, a call center phone number (96 phone number), a called party centralized payment service phone number (400 phone number), a calling party shared service phone number (800 phone number), a short message phone number (106 phone number), and the like.
Fig. 5 is a block diagram illustrating a determining module according to an exemplary embodiment, and as shown in fig. 5, optionally, the determining module 41 includes:
an obtaining sub-module 51 configured to obtain a number of a pre-set digit of the telephone number;
a determination submodule 52 configured to determine the number type according to the number of the previous preset digit acquired by the acquisition submodule 51.
For example, the fetch sub-module 51 identifies the first four digits of a telephone number. If 400x is identified, the determination submodule 52 determines that the number is a called collect payment service telephone number; if the obtaining sub-module 51 identifies 800x, the determining sub-module 52 may determine that the number is a calling/called sharing service telephone number; if the obtaining sub-module 51 identifies 106x, the determining sub-module 52 determines that the number is a short message telephone number; if the obtaining sub-module 51 recognizes 138x, 188x, 152x, etc., the obtaining sub-module 51 determines that the number is a mobile phone number by the determining sub-module 52; if the obtaining sub-module 51 recognizes 010x, 0311, 0571, etc., the determining sub-module 52 may determine that the number is a fixed telephone number.
Among them, 400 phone, 800 phone, 96 phone are all needed to apply for special application to the operator for use, and the cost is high, and they are generally used as customer service phones of enterprises, because the number of users who call these phones is large, it is not excluded that there is a possibility that users will mark them as fixed phone numbers of sales promotion, fraud, etc. that are fraud compared with mobile phone numbers, and because the fixed phone installation cost is high and the possibility of being tracked is high, the fixed phone numbers are generally used as outgoing phones for sales promotion, etc. The cost for changing the mobile phone number is low, and the mobile phone number can be discarded at any time, so that most fraud can use the mobile phone number.
In the embodiment, different weight coefficients are given to each mark classification of the number types by combining the corresponding characteristics of different number types, so that the problem that the telephone number is marked inaccurately and unreasonably finally due to the fact that the emotional factors exist in the user marks is avoided, the telephone number can be marked more reasonably and reliably, and the marking result accuracy and the reliability are higher.
FIG. 6 is a block diagram illustrating a tagging module, according to an exemplary embodiment, and as shown in FIG. 6, the tagging module 43 includes:
the calculating submodule 61 is configured to calculate a weight value of each label classification corresponding to the telephone number according to the label quantity and the weight coefficient of each label classification corresponding to the telephone number;
a marking submodule 62 configured to mark the telephone number according to the weight value calculated by the calculation submodule 61.
According to the characteristics of various numbers, mark classification fraud, promotion, intermediaries and the like are combined, and different number types are endowed with different weight coefficients aiming at different classifications. For example, 400 phones, 800 phones, are fraudulently weighted 50% and promoted 70%. The fixed telephone number is fraudulent with a weight factor of 60% and promotional with a weight factor of 100%. The phone number of the mobile phone is fraud weight coefficient of 90%, and promotion weight coefficient of 60%. The SMS phone number is promoted by 70% and fraud by 80%.
For example, when the number type of a certain telephone number is identified as a fixed telephone number, 20 people are marked as fraud and 16 people are marked as promotion.
Some users may find the receiving of the sales promotion telephone troublesome due to emotional factors, and mark the telephone number as fraud. It may not be practical if the server marks the telephone number as a fraud.
With the above embodiment, the weighting factor for obtaining a fixed telephone number is fraudulent is 60%, and the weighting factor for a promotion is 100%.
Then, for the mark classification as fraud, the calculation submodule 61 calculates a weight value of 20 × 60% — 12. For a mark classified as a promotion, the calculation submodule 61 calculates a weight value of 16 × 100% ═ 16, and the marking submodule 62 may determine to finally mark the fixed telephone number as a promotion.
It is clear that a fixed telephone number is less likely to be fraudulent and more likely to be promotional.
In the embodiment, different weight coefficients are given to each mark classification of the number types by combining the corresponding characteristics of different number types, so that the problem that the telephone number is marked inaccurately and unreasonably finally due to the fact that the emotional factors exist in the user marks is avoided, the telephone number can be marked more reasonably and reliably, and the marking result accuracy and the reliability are higher.
Optionally, the labeling submodule 62 is configured to select the label classification with the largest weight value to label the phone number.
Optionally, the labeling submodule 62 is configured to select a label classification with a weight value exceeding a preset threshold to label the telephone number.
For example, the number type identifying a certain telephone number is a fixed telephone number, 20 people marked as fraud, 16 people marked as promotion, and 21 people marked as intermediary.
The fixed telephone number acquisition is fraudulent with a weight factor of 60%, promotion with a weight factor of 100%, and intermediary with a weight factor of 70%.
Then, for a mark classified as fraud, a weight value of 20 × 60% to 12 is calculated. For the label classification as promotion, a weight value of 16 × 100% ═ 16 was calculated, and for the label classification as intermediary, a weight value of 21 × 70% ═ 14.7 was calculated.
Thus, the labeling sub-module 62 may select the label category with the highest weight value — the promotion labels the phone number; the telephone number may also be marked by selecting the label categories, promotions and intermediaries, with a weight value above a preset threshold 14.
In conclusion, different weight coefficients are given to each mark classification of the number types by combining the corresponding characteristics of different number types, so that the problem that the telephone number is marked inaccurately and unreasonably finally due to the fact that the user marks the telephone number by emotional factors is avoided, one or more classifications can be marked more reasonably and reliably, and the marking result accuracy and the reliability are higher.
The present disclosure also provides a phone number recognition apparatus, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
determining a number type corresponding to the telephone number;
acquiring mark classifications corresponding to the number types and a weight coefficient corresponding to each mark classification;
and marking the telephone number according to the marking quantity and the weight coefficient of the marking classification corresponding to the telephone number.
Fig. 7 is a block diagram illustrating an apparatus for telephone number recognition in accordance with an example embodiment. For example, the apparatus 1900 may be provided as a server. The device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by the processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.
The device 1900 may also include a power component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to a network, and an input/output (I/O) interface 1958. The device 1900 may operate based on an operating system stored in memory 1932, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
A non-transitory computer readable storage medium in which instructions, when executed by a processor of an apparatus 1900, enable the apparatus 1900 to perform the above-described phone number recognition method, comprising:
determining a number type corresponding to the telephone number;
acquiring mark classifications corresponding to the number types and a weight coefficient corresponding to each mark classification;
and marking the telephone number according to the marking quantity and the weight coefficient of the marking classification corresponding to the telephone number.
Optionally, the number types include:
the system comprises a mobile phone telephone number, a fixed telephone number, a call center telephone number, a called centralized payment service telephone number, a calling and called sharing service telephone number and a short message telephone number.
Optionally, the determining a number type corresponding to the phone number includes:
acquiring the number of the preset digit of the telephone number;
and determining the number type according to the number of the pre-set digits.
Optionally, the labeling the phone number according to the number of labels and the weight coefficient of each label classification of the phone number includes:
calculating the weight value of each label classification corresponding to the telephone number according to the label quantity and the weight coefficient of each label classification corresponding to the telephone number;
and marking the telephone number according to the weight value.
Optionally, the marking the phone number according to the weight value includes:
selecting the label classification with the maximum weight value to label the telephone number; or the like, or, alternatively,
and selecting the mark classification with the weight value exceeding a preset threshold value to mark the telephone number.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (11)
1. A method for identifying a telephone number, comprising:
determining a number type corresponding to the telephone number;
acquiring label classifications corresponding to the number types and weight coefficients corresponding to each label classification, wherein the label classifications are combined according to the characteristics of various numbers, and different weight coefficients are set for different label classifications by different number types;
and marking the telephone number according to the marking quantity and the weight coefficient of the marking classification corresponding to the telephone number.
2. The method of claim 1, wherein the number types include:
the system comprises a mobile phone telephone number, a fixed telephone number, a call center telephone number, a called centralized payment service telephone number, a calling and called sharing service telephone number and a short message telephone number.
3. The method of claim 2, wherein determining the number type corresponding to the phone number comprises:
acquiring the number of the preset digit of the telephone number;
and determining the number type according to the number of the pre-set digits.
4. The method according to any one of claims 1-3, wherein the labeling the phone number according to the number of labels and the weighting factor of the label classification corresponding to the phone number comprises:
respectively calculating the weight value of each label classification corresponding to the telephone number according to the label quantity and the weight coefficient of each label classification corresponding to the telephone number;
and marking the telephone number according to the weight value.
5. The method of claim 4, wherein said tagging the phone number according to the weight value comprises:
selecting the label classification with the maximum weight value to label the telephone number; or the like, or, alternatively,
and selecting the mark classification with the weight value exceeding a preset threshold value to mark the telephone number.
6. A telephone number recognition apparatus, comprising:
the determining module is used for determining the number type corresponding to the telephone number;
the acquisition module is used for acquiring the label classification corresponding to the number type determined by the determination module and the weight coefficient corresponding to each label classification, wherein the label classification is combined according to the characteristics of various numbers, and different weight coefficients are set for different label classifications by different number types;
and the marking module is used for marking the telephone number according to the marking quantity and the weight coefficient of the marking classification corresponding to the telephone number acquired by the acquisition module.
7. The apparatus of claim 6, wherein the number type determined by the determining module comprises:
the system comprises a mobile phone telephone number, a fixed telephone number, a call center telephone number, a called centralized payment service telephone number, a calling and called sharing service telephone number and a short message telephone number.
8. The apparatus of claim 7, wherein the determining module comprises:
the acquisition submodule is used for acquiring the digits of the preset digits of the telephone number;
and the determining submodule is used for determining the number type according to the number of the preset digit acquired by the acquiring submodule.
9. The apparatus of any of claims 6-8, wherein the tagging module comprises:
the calculation submodule is used for respectively calculating the weight value of each label classification corresponding to the telephone number according to the label quantity and the weight coefficient of each label classification corresponding to the telephone number;
and the marking submodule is used for marking the telephone number according to the weight value calculated by the calculating submodule.
10. The apparatus according to claim 9, wherein the labeling sub-module is configured to select the label class with the largest weight value to label the phone number; or selecting the mark classification with the weight value exceeding a preset threshold value to mark the telephone number.
11. A telephone number recognition apparatus, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to:
determining a number type corresponding to the telephone number;
acquiring label classifications corresponding to the number types and weight coefficients corresponding to each label classification, wherein the label classifications are combined according to the characteristics of various numbers, and different weight coefficients are set for different label classifications by different number types;
and marking the telephone number according to the marking quantity and the weight coefficient of the marking classification corresponding to the telephone number.
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| CN107896287B (en) * | 2017-09-30 | 2021-06-18 | 深圳壹账通智能科技有限公司 | Mobile phone number risk monitoring method, mobile terminal and computer readable storage medium |
| CN109995925B (en) * | 2019-02-27 | 2021-03-12 | 努比亚技术有限公司 | Crank call identification method, terminal and computer readable storage medium |
| CN110445944B (en) * | 2019-08-19 | 2020-11-24 | 携程旅游信息技术（上海）有限公司 | Method and system for preventing telephone disturbance of call center |
| CN114980116B (en) * | 2022-05-17 | 2023-09-19 | 中移互联网有限公司 | Target number identification method based on 5G message and electronic equipment |
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