WO2017125092A1

WO2017125092A1 - Number marking method and system

Info

Publication number: WO2017125092A1
Application number: PCT/CN2017/072883
Authority: WO
Inventors: 任腾; 査道德
Original assignee: 上海触乐信息科技有限公司
Priority date: 2016-01-19
Filing date: 2017-02-04
Publication date: 2017-07-27
Also published as: CN105704337A; CN105704337B

Abstract

A number marking method and system. The number marking method comprises: calculating a marking quality grade of a number marking source, wherein the calculation of the marking quality grade further comprises: acquiring, according to a user number marking history and a mobile terminal usage history, basic data for calculating the marking quality grade; and performing calculation according to the basic data, so as to obtain the marking quality grade of the user. In the present invention, by setting a marking quality grade, the contribution of a user providing number marking is quantized, so that the credit of a number marking method can be improved; and on the other hand, by setting an admissible value of the marking quality grade and regulating the behaviours of false number marking and malicious number marking, the influence of the marking of a precise marking user on number marking is increased.

Description

Number marking method and system

Technical field

The present invention relates to the field of data processing and, more particularly, to a number marking method and system.

Background technique

Based on the need for mobile phone users to know the source of unfamiliar numbers, the phone marking function came into being. The user can mark the strange number on the mobile terminal, for example, save the strange number and the corresponding user name to the local address book, and when the strange number dials again, prompt the corresponding number according to the user's mark information. user name.

In recent years, with the popularity of mobile phones and the continuous development of cloud technology, some improved telephone marking systems have emerged. For example, different users contribute their strange numbers and corresponding user names to the cloud server, and receive them. When the call comes in, the caller number is identified according to the number tag information in the cloud server.

However, in the existing number marking system, the tag values of different users are the same, which also brings the following disadvantages:

(1) The system assumes that all users mark the number in good faith and actively contribute, but in fact, there are some users who are malicious or maliciously marked. Since these users cannot be identified, their mark on a certain number will be equivalent to the markup effect of the normal user on the number. This brings great interference and noise to the accurate identification of the number, and even directly leads to the number identification error;

(2) In order to avoid malicious marking, in the prior art, the setting of the marking threshold is generally adopted, so that the marking information that does not reach the threshold is not adopted. However, this also makes the partial number marking, because the number of markings does not reach the threshold, etc., is not immediately able to be fed back to the recognition result. At this time, the user's marking is not used to the maximum extent, so that the number of markings is less. The number cannot be effectively determined.

In view of the above shortcomings, it is necessary to provide a more accurate and effective number marking mechanism.

Summary of the invention

It is an object of the present invention to provide a more accurate and efficient number marking mechanism.

In order to achieve the above object, an aspect of the present invention provides a number marking method including calculating a mark quality level of a source of a number mark, wherein the calculating the mark quality level further includes: marking a history and a mobile terminal use history according to the user number, Obtain basic data for calculating the mark quality level; perform calculation based on the basic data to obtain the user's mark quality level.

Preferably, the quality level of the mark of the user may be affected by one or more factors such as the quality of the mark, the number of times of the mark, the user's activity and the setting associated with the number; the user's mark information of the phone number and the local or cloud The higher the matching degree of the tag information corresponding to the highest value of the number in the database, the higher the tag quality coefficient can be obtained by the user, and the relationship between the user's tag quality coefficient and the user's tag quality level; the number of times the user performs the number tagging The relationship with the user's mark quality level is positive; the more records in the user address book, the more frequent the call, the higher activity coefficient can be obtained, and the user's activity coefficient is positively related to the user's mark quality level; In the settings associated with the number, the greater the number of numbers set by the user, the higher the degree of consistency with the number tag in the local or cloud database, the higher the tag association coefficient of the user, the tag association coefficient of the user and the tag quality level of the user. A positive relationship.

Preferably, in the local or cloud database, each tag information of the phone number has a corresponding acquisition value. If the accumulated value of the tag information corresponding to the phone number exceeds the preset update threshold, the tag information corresponding to the tag value may be used as the display tag of the phone number. Generally, the display mark of the phone number selects the tag information corresponding to the highest received value.

In an embodiment, the user's mark quality level may be divided into different levels according to the numerical value, or different quality states may be used as the quality level distinction, and different characters may be used as the labels of different quality levels. The mark quality level is dynamically calculated based on the correlation coefficient, which can be changed according to the user's use trigger, or can be assessed by the system setting a fixed time.

According to another aspect of the present invention, there is also provided a number marking system comprising: one or more mobile terminals, adapted to obtain an incoming or outgoing telephone number and its number marking information, and to display a telephone call or outgoing call Marker information corresponding to the number; one or more processors adapted to acquire basic data required for calculating the mark quality level according to the number mark history of the mobile terminal and the mobile terminal use history, and according to the basic data A tag quality level is calculated; one or more databases adapted to store number tag information, tag quality levels, underlying data used to calculate tag quality levels, and other cached data.

Preferably, the phone number and number tag information acquired from the mobile terminal are stored in a database; the processor combines the quality of the tag of the mobile terminal user, the number of tags, the user activity, and the setting associated with the number. One or more factors calculate the user's mark quality level; the processor calculates the user's current mark in the database for the value of the mark value accumulated in the database, in conjunction with the user's mark quality level; It is sent by the processor to the tag information corresponding to the corresponding phone number in the database, and is added to the original adopted value of the bar to obtain the new tagged value after the tag.

Preferably, the one or more processors and one or more databases may be disposed on the mobile terminal, may be disposed in the cloud, or may be configured by a portion disposed in the mobile terminal and a portion disposed in the cloud. The mobile terminal can communicate with the processor and the database.

In contrast to the prior art, an aspect of the present invention proposes a mechanism for marking a quality level by which the user contribution providing the number tag is quantified by setting a mark quality level, so that the credit of the number tag method can be improved. Another aspect of the present invention accurately calculates the mark quality level of different users by setting and marking the number on the mobile terminal as one of the factors affecting the mark quality level. According to still another aspect of the present invention, by setting a credit value of the mark quality level, the behavior of the untrue number mark and the malicious number mark is regulated, and the influence of the mark of the accurate mark user on the number mark is increased.

These and other advantages and features of the present invention, as well as the organization and manner of operation thereof, will become apparent from the Detailed Description of the <RTIgt; Similar components will have similar numbers.

DRAWINGS

1 to 3 are schematic diagrams showing the marking of each mark quality level using different identifier systems in the number marking mechanism of the present invention.

4 is a schematic flow chart of a specific embodiment of the number marking method of the present invention.

Figure 5 is a schematic illustration of a specific embodiment of step S1 of Figure 4.

FIG. 6 is a schematic flowchart diagram of a specific implementation manner of obtaining a blacklist matching number B2 by the number marking method of the present invention.

Figure 7 is a gradient diagram of one embodiment of a mark quality level in the number marking method of the present invention.

FIG. 8 is a schematic flow chart of another specific embodiment of the number marking method of the present invention.

Figure 9 is a schematic illustration of a frame of a particular embodiment of the number marking system of the present invention.

detailed description

The present disclosure will be described more fully hereinafter with reference to the accompanying drawings in which FIG. However, these embodiments can be implemented in many different forms and should not be construed as being limited to the embodiments described herein. Rather, the examples are provided so that this disclosure will be thorough and complete, and the scope of the disclosure will be apparent to those skilled in the art.

The flowchart and block diagrams in the Figures illustrate the architecture, functionality and operation of possible implementations of apparatus, methods and computer program products in accordance with various embodiments of the invention. In this regard, each block of the flowchart or block diagram can represent a module, a program segment, or a portion of code, the module, the program segment, or a portion of code comprising one or more Functional executable instructions. It should also be noted that in some alternative implementations, the functions noted in the blocks may also occur in a different order than that illustrated in the drawings. For example, two successively represented blocks may in fact be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the function involved. And set. It is also noted that each block of the block diagrams and/or flowcharts, and combinations of blocks in the block diagrams and/or flowcharts, can be implemented in a dedicated hardware-based system that performs the specified function or operation. Or it can be implemented by a combination of dedicated hardware and computer instructions.

The term "marking information" as used in the present invention is suitable for describing information such as the source of a certain communication number. The tag information is usually set by the user on the communication terminal device, but is not limited thereto. The tag information may also be a result of the third party service provider automatically matching and identifying the strange number according to the tags of other users.

The term "mobile terminal" is intended to cover any suitable type of electronic device that supports initiating or receiving a call, including various mobile communication devices, various non-mobile communication devices, or combinations thereof. Mobile communication devices, such as mobile terminals (such as mobile phones), mobile computers, mobile phones, portable data processing devices, portable web browsers, portable gaming devices, portable digital cameras/camcorders, portable audio/video players, portable radio receivers, Portable digital video recorder, portable positioning device, portable wearable device, but not limited to this.

The term "marking quality level" is suitable for describing the reliability or contribution value of the source providing the marking information. By setting different mark quality levels, the source of the mark information is distinguished according to its reliability and influence, thereby effectively reducing the interference and noise of the number identification, obtaining a more appropriate number mark with the actual situation, and improving the number mark. accuracy. Wherein, the mark quality level is suitable for comprehensive consideration in combination with one or more of a plurality of factors such as the quality of the mark provided by the user, the number of times, the activity of the mark by the user, and the setting associated with the marked number.

It is precisely because of the many practical operation problems in the prior art that the marking information is complicated and the marking contribution is difficult to calculate accurately. The inventor extracts the user's mark from many complicated tag related parameters through repeated experiments, comparisons and debugging. A plurality of consideration factors such as the quality, the number of times the user is tagged, the activity of the user, and the setting associated with the number are calculated according to one or more of the above consideration factors, and the evaluation result for indicating the quality level of the mark is obtained, and is calculated. In the process of marking information, the consideration of the quality level of the mark is introduced, so that the mark result closer to the actual situation is obtained, and the accuracy of the number mark is greatly improved.

For the mark source having different mark quality levels, the picking parameter corresponding to the mark quality level may be further set, so that the user with the higher mark quality level has an increase in the value of the mark for the number mark information provided by the user. A quantity, which is equivalent to the sum of the increments of the value of the mark information of the item marked by the plurality of mark quality levels at a time, or the value of the mark value of the mark mark information of the user whose mark quality level is lower. The sum of the increments.

According to some embodiments of the invention, the mark quality level can be labeled in a variety of ways. In a specific embodiment, the mark quality level may include a set of gradients, and different mark quality level gradients are suitable for describing credits having a certain span range value. Wherein, the difference between two adjacent gradients in the mark quality level may be an equal difference distribution, that is, the credit difference between any two adjacent gradients is the same; or may be a multiple distribution, that is, the second highest level mark quality level The credit span is a multiple of the credit span of the higher-level mark quality level. In a specific embodiment, a weighting operation can be performed on the credit ranges of the respective gradients such that the respective gradients of the mark quality levels are pyramidal, thereby obtaining a more optimized number recognition result.

Further, the mark quality level gradient can be marked using a set identifier system. As shown in FIG. 1, in one embodiment, each gradient can be marked with a value of 0-4. The higher the gradient, the larger the corresponding value, which means that the credit of the number mark provided by the user is higher. . As shown in FIG. 2, in another embodiment, the mark quality level may be marked by "invalid", "primary", "intermediate", "advanced", wherein different levels correspond to corresponding user credits QCL. The reliability of the number tag information provided by the user with "advanced" is higher than the number tag information provided by the user with "intermediate"; similarly, the reliability of the number tag information provided by the user with "intermediate" is required. Higher than the number tag information provided by the user with "primary". As shown in FIG. 3, in another embodiment, the mark quality level may be marked by six English letters E, D, C, B, A, and S, and different levels correspond to corresponding user credits QCL.

Referring to Figure 4, in accordance with certain aspects of the present invention, a number marking method is provided that includes calculating a quality level of a marking of a source of a number marking, as follows:

In step S110, according to the user number tag history and the mobile terminal usage history, the acquisition is used. For calculating the basic data of the mark quality level.

The basic data acquired in step S110 may include related information for calculating one or more factors such as the quality of the mark, the number of times of the mark, the user activity, and the setting associated with the number. Specifically, the basic data may include marking information and a corresponding number marked by the user for the incoming/outgoing number, and may also include a blacklist in the mobile terminal, a whitelist setting, or a caller related display on the mobile terminal. The other setting information may further include the number of contacts and the number of calls on the mobile terminal, and may also include the number of times of marking. The basic data may be one or more of the foregoing related information, or may be related information for acquiring the related information.

In a specific implementation, step S110 may include reading related information of a phone number marking module, an address book, and a call record to obtain the basic data. Specifically, referring to FIG. 5, for example, a list of calling numbers of user tags and tag information (ie, outgoing tags), a list of called numbers, and tag information (ie, caller tags) and number of tag numbers can be read from the phone number tagging module. For example, the number of numbers and the number of contacts in the blacklist can be obtained by reading the data of the address book; for example, according to the data read from the call record, the data of the number of times of the user can be obtained.

After obtaining the basic data, step S120 is next performed, and the calculation is performed based on the basic data to obtain the mark quality level of the user.

Further, step S120 may include step S121, and respectively obtain one or more coefficient values of the mark quality coefficient Q, the number of times of mark N, the mark correlation coefficient B, and the user activity coefficient M based on the basic data.

The above coefficients respectively evaluate the user mark quality from different dimensions, wherein the mark quality coefficient Q is suitable for describing the accuracy of the average one-time mark of the user, and the mark correlation coefficient B is suitable for depicting the coincidence of the mark criterion of the user with the mark criterion of the database. The degree of user activity coefficient M is suitable for describing the breadth of the number that the user is likely to contact, and the number of times of marking system N is suitable for describing the initiative of the user to mark.

Correspondingly, the larger the mark quality coefficient Q, the higher the proportion of the user's accurate mark to the number of all the user's number marks, and the mark quality coefficient Q is positive with the user's mark quality level. Correlation relationship; the higher the tag correlation coefficient B, the higher the proportion of the number associated with the number associated with the number in the database and the number of the number associated with the number on the communication terminal is higher, and the tag correlation coefficient B The relationship with the user's mark quality level is positive; the higher the user activity coefficient M, the more number records are recorded in the address book of the communication terminal, the higher the frequency of the user using the communication terminal, the user activity coefficient M and the user's The mark quality level is positively related; the higher the number of user tags N, the more the number of times the user performs number tagging, and the number N of user tags is positively related to the tag quality level of the user.

Specifically, referring to FIG. 5, the number of incoming call marks q2, the number of outgoing call marks q1, the number of coincidence marks p2, the number of coincidence marks p1, and the mark quality coefficient Q are respectively obtained from the basic data. The number of incoming call marks q2 and the number of outgoing call marks q1 respectively refer to the number of marks provided by the user for the incoming call number and the outgoing call number; the number of the incoming call mark coincidence number p2 and the number of outgoing call marks p1 refers to the number of the caller number to be provided. The number of marked messages after the tag information (the number is q2) and the outgoing number tag information (the number is q1) are compared with the authenticated number tag information in the database.

In one embodiment, the mark quality coefficient Q may be set to the sum of the number of coincidences of the incoming call mark and the number of coincidences of the outgoing mark, and the ratio of the sum of the number of incoming call marks and the number of outgoing call marks. For example, use the following formula to get the mark quality factor Q:

In other embodiments, considering that the user actively dials the phone, the identity of the dialing object is usually known, and for the stranger incoming call, the identity of the incoming call is often acknowledged or confirmed, so the outgoing call is actively marked. It is less likely to mark the incoming call after receiving a strange incoming call. Therefore, the result can be equalized by reducing the number of incoming call marks or increasing the number of outgoing call marks. For example, in one embodiment, the marker quality factor Q can be obtained using the following formula:

In a specific embodiment, for example, k ₁ may be set to a value less than 1, such as 0.5 or 0.8, and k ₂ may be set to a value greater than 1, such as 1.2 or 1.5.

In still another embodiment, further, the number of times of marking N can be obtained by the basic data, and the product of the number of times of marking N and the quality coefficient of the mark Q is calculated to obtain the total number of numbers in which the user marks the correct number.

Referring to FIG. 6, the number B1 of the phone numbers in the blacklist can be obtained from the basic data, and compared with the authenticated numbers in the database, thereby obtaining the blacklist matching number B2.

In an embodiment, the ratio of the blacklist match number B2 to the blacklist number B1 may be used as the mark correlation coefficient B. In another implementation manner, considering that the number of telephone numbers B1 in the blacklist of the user address book may be much larger than the number B2 of the blacklist comparison, it is necessary to reduce the order of the number of telephone numbers B1 in the blacklist, specifically For example, one or more of a plurality of ways, such as a weight that is much less than one, or a magnitude that is reduced by a logarithm, or a plurality of ways. Mathematical methods that reduce the order of magnitude are not limited to the methods in the above examples, and can be extended to other mathematical methods that are often used to reduce the order of magnitude. In a specific embodiment, the marker correlation coefficient can be calculated using the following formula:

Similarly, parameters similar to B1 and B2 may be respectively obtained according to the whitelist or the setting information related to the caller ID on the mobile terminal, thereby obtaining the mark correlation coefficient B.

The number of contact numbers, the number of calls, and the like in the user address book may also be obtained from the basic data, thereby calculating the user activity coefficient M. On the one hand, the greater the number of contacts in the user's address book, the wider the number of numbers that can be radiated by the mobile terminal; on the other hand, the higher the frequency of the user's call, the more active the user is using the mobile terminal. high. Therefore, the user activity coefficient M is calculated based on the above related information.

In an embodiment, the weighted summation method may be performed according to the number of contact numbers and the number of calls, and the activity coefficient M of the user is obtained. In another embodiment, the connection can also be calculated. The product of the number of people and the number of calls to obtain the activity coefficient M of the user.

In still another embodiment, considering that the number of contact numbers or the number of calls is large, it is possible to set a weight that is much smaller than 1, or perform a logarithm calculation, or perform a plurality of calculations, etc. One or more of the modes to reduce the order of magnitude and obtain the user activity coefficient M.

After determining the above-mentioned mark quality coefficient Q, the mark correlation coefficient B, the user activity coefficient M, and the number of times of marking N, step S122 is performed, and the credit degree QCL of the corresponding number mark quality level is calculated according to one or more coefficient values thereof, thereby obtaining Corresponding mark quality level.

In one embodiment, the credit quality QCL of the mark quality level may be obtained by summing one or more coefficient values of the product of the mark quality coefficient Q and the mark number N, the mark correlation coefficient B, and the user activity coefficient M, that is, QCL. =Q*N+B+M.

In one embodiment, the mark quality level may be obtained by weighted summation of one or more of the product of the mark quality coefficient Q and the mark number N, the mark correlation coefficient B, the user activity coefficient M, and the number of times of the mark N. For example, QCL=a1*Q*N+a2*B+a3*M.

Further, different values of the obtained credit QCL are calculated according to the mark quality coefficient Q, the mark correlation coefficient B, the user activity coefficient M, and the number of marks N, and the mark quality level is divided into different gradients, and each gradient corresponds to one of the credits QCL. The interval finally results in a mark quality level that can be used to evaluate the tag information provided by the user for the set number. For example, referring to FIG. 7, the mark quality level is divided into five gradients of 0, 1, 2, 3, and 4. Level 0 corresponds to the lowest 5% of users with credit QCL; Level 1 corresponds to a credit QCL of 5% to 40% of the highest credit QCL _max ; Level 2 corresponds to a credit QCL of 40% to 70% of the highest credit QCL _max The level 3 correspondence credit QCL is 70% to 95% of the credit maximum value QCL _max ; the level 4 correspondence credit QCL is 95% to 100% of the credit maximum value QCL _max .

Referring to Figure 8, in accordance with certain aspects of the present invention, a method of number marking is provided, comprising:

Step S110: Acquire basic data for calculating a mark quality level according to the user number mark history and the mobile terminal use history.

Step S120: Perform calculation according to the basic data to obtain a mark quality level of the user. The method further includes: calculating one or more coefficient values of the mark quality coefficient Q, the mark correlation coefficient B, the user activity coefficient M, and the number of times of marking N based on the basic data, and calculating according to one or more coefficient values thereof The corresponding number marks the credit level QCL of the quality level, thereby obtaining the corresponding mark quality level.

Next, step S230 is executed to obtain the number tag information currently provided by the user according to the tag quality level of the user, and obtain the corresponding tagging parameter, so that the user with the higher tag quality level has a larger tagging parameter.

Specifically, for the mark source having different mark quality levels, the picking parameter corresponding to the mark quality level may be further set, so that the user with the higher mark quality level provides the first mark for the item mark information. The increment in value is equivalent to the sum of the increments of the value of the mark information of the item marked with the lower mark quality level, or the value of the mark of the lower mark quality level. The sum of the increments on the information received value.

In step S240, in combination with the acquisition parameter, the acquisition value corresponding to the current number tag information is obtained, and the original acquisition value is updated based on the acquisition value. And comparing the updated acquisition threshold with the set update threshold. When the updated acquisition value exceeds the set update threshold, step S250 is performed to establish an association relationship between the marker information and the number.

Among them, the acquisition value obtained by each calculation may be accumulated on the original acquisition value, or the actual value of the acquisition value update may be calculated based on the proportion of the increment of the acquisition value on the basis of the original acquisition value.

When the update value still fails to reach the set update threshold after the update, the tag information of the number is not associated.

According to some embodiments of the present invention, further, the calculation of the mark quality level in step S210 and step S220 may be triggered by a set user tag operation, for example, the mark quality associated with the tag information of the user after receiving the tag information. The level is calculated; it can also be calculated at a fixed time set, for example, every 24 hours, or according to other system settings or settings Calculation.

Compared with the prior art, the present invention creatively sets a mechanism for the user to mark the quality level, and calculates the mark quality coefficient Q, the mark correlation coefficient B, the user activity coefficient M, and the number of marks N according to the basic data of the user and the mobile terminal. One or more coefficient values in the user, the user's corresponding mark quality level is evaluated from multiple dimensions, and then the credit QCL for describing the mark quality level is calculated, and the user's mark information is combined with the corresponding mark quality level. Thereby solving the defect of mark sparseness, and effectively suppressing the artificial malicious mark, so that the user mark is maximized and effectively utilized.

9 illustrates a system for number marking in accordance with certain aspects of the present disclosure, wherein system 100 can include:

The one or more mobile terminals 110 are configured to obtain the phone number of the incoming or outgoing call and the number tag information thereof, and can also be used to obtain the tag quality, the number of tags, the user activity, and the number associated with the quality of the user tag. The basic data of the setting factor of the connection may also be used to display the marking information corresponding to the telephone number of the incoming or outgoing call;

One or more processors 120 for calculating a value of a user marking quality level, a telephone number, and the like in the number marking method;

One or more databases 130 for storing data acquired by the input device and data calculated by the processing device.

The phone number and number tag information acquired from the mobile terminal 110 are stored in the database 130; the processor 120 combines the quality of the tag of the mobile terminal user, the number of tags, the user activity, and the settings associated with the number. One or more factors calculate the user's mark quality level; the processor 120 calculates, in conjunction with the user's mark quality level, the user's current mark in the database 130 for the value of the mark value accumulated for the mark value; the credit value The increment is transmitted by the processor 120 to the tag information corresponding to the corresponding phone number in the database 130, and is added to the original acquisition value of the bar to obtain the tagged new acquisition value.

The mobile terminal 110 transmits the obtained phone number and number tag information to the database 130. Comparing with the existing number tag information in the database 130; the mobile terminal 110 transmits the acquired basic data related to the calculated mark quality level to the processor 120, and the processor 120 calculates the quality mark quality level of the user. The processor 120 transmits the user's number mark quality level to the database 130, and combines with the user's current number tag to obtain a credit value increment; the credit value increment is cumulatively increased over the corresponding number mark of the corresponding number; the database 130 If the number of the received number corresponding to the number exceeds the update threshold, the tag information corresponding to the highest received value is selected, and the result is transmitted to the mobile terminal.

Preferably, the one or more processors 120 and one or more databases 130 may be disposed in the mobile terminal, may be disposed in the cloud, or may be formed by a portion disposed in the mobile terminal and a portion disposed in the cloud. . The mobile terminal 110 can communicate with the processor 120 and the database 130.

The evaluation of the user number marking quality level of the present invention may employ different evaluation frequencies. Specifically, the real-time triggering method may be adopted. When the user marks the number, the user's number marking quality level may be updated and evaluated, and then the credit value is calculated; or the quality may be marked according to the number updated by the user after the last marking. The level first calculates the value of the credit, and after completing the number marking, the user's number marking quality level is updated. Alternatively, the user's number mark quality level may be evaluated after a fixed time point or time period by periodically performing user number mark quality level update evaluation. In addition, the user number mark quality level can be updated and updated in a quantitative manner. For example, after the user completes a certain number of number marking operations, the user's number marking quality level is evaluated.

The teachings of the present invention can also be embodied as a computer program product of a computer readable storage medium, comprising computer program code which, when executed by a processor, enables a processor to implement a service in accordance with a method of an embodiment of the present invention Push of information. The computer storage medium can be any tangible medium such as a floppy disk, CD-ROM, DVD, hard drive, or even network media.

The description of the present invention has been presented for purposes of illustration and description, and is not intended to Numerous modifications and variations will be apparent to those skilled in the art after reading this disclosure. The various embodiments described above can be used alone or in various combinations unless the context clearly dictates otherwise. Those skilled in the art will appreciate that the methods and apparatus in the embodiments of the present invention can be implemented in software, hardware, firmware, or a combination thereof.

Therefore, the embodiments are chosen and described in order to explain the principles of the invention, the invention, and the All modifications and substitutions are intended to fall within the scope of the invention as defined by the appended claims.

Claims

A method for number marking, comprising: calculating a quality level of a mark of a source of a number mark, wherein the calculating the quality level of the mark further comprises:

Obtaining basic data for calculating a mark quality level according to the user number mark history and the mobile terminal use history;

The calculation is performed based on the basic data to obtain the user's mark quality level.
The method according to claim 1, wherein said basic data comprises one or a combination of: a list of calling numbers marked by a user and tag information; a list of called numbers and tag information; a number of times of tagging; black/white The number of numbers in the list; the number of contacts; the number of user calls.
The method of claim 2, further comprising:

Obtaining, according to the mark quality level, obtaining the latest number mark information and obtaining the corresponding feed parameter, so that the user with the higher mark quality level has a larger feed parameter;

Combining the adopting parameter, obtaining a receiving value corresponding to the current number marking information, and updating the original adopted value based on the adopted value;

The updated acquisition value is compared with the set update threshold, and when the updated acquisition value exceeds the set update threshold, the association relationship between the marker information and the number is established.
The method according to claim 2 or 3, wherein the calculating based on the basic data comprises:

Obtaining one or more coefficient values of the mark quality coefficient, the mark number, the mark correlation coefficient, and the user activity coefficient respectively based on the basic data;

Calculating the credit of the corresponding number mark quality level according to the one or more coefficient values, and obtaining a corresponding mark quality level.
The method of claim 4, wherein said obtaining a standard based on the underlying data The quality factor includes:

According to the calling number list and the tag information marked by the user, the called number list and the tag information, and the number of the number of the tag, respectively, the number of coincidence of the incoming call tag and the number of the outgoing call tag are respectively calculated;

The mark quality coefficient is calculated according to the coincidence number of the incoming call mark and the number of the outgoing mark.
The method according to claim 5, wherein the obtaining the mark quality coefficient based on the base data comprises: reducing the coincidence number of the incoming call mark or increasing the specific gravity of the coincidence number of the outgoing mark, and equalizing the mark quality coefficient.
The method according to claim 4, wherein the obtaining the mark correlation coefficient based on the basic data comprises: a ratio of a blacklist match number to a blacklist number, or a ratio of a white list match number to a white list number, The marker correlation coefficient is obtained.
The method of claim 7, wherein the obtaining the tag association coefficient based on the base data comprises: reducing the order of the number of blacklist numbers or the number of whitelist numbers.
Method according to claim 2 or 3, characterized in that the calculation of the quality level of the marking is triggered by a set user marking operation or system setting or by a set fixed time.
A system for number marking, comprising:

One or more mobile terminals, adapted to obtain an incoming or outgoing telephone number and its number marking information, and display marking information corresponding to the incoming or outgoing telephone number;

And one or more processors, configured to acquire basic data required for calculating a mark quality level according to the number mark history and the mobile terminal use history of the mobile terminal, and calculate a mark quality level according to the basic data;

One or more databases adapted to store number tag information, mark quality levels, underlying data used to calculate mark quality levels, and other cached data.
The system according to claim 10, wherein said basic data comprises one or a combination of: a list of calling numbers marked by a user and tag information; a list of called numbers and Tag information; number of number tags; number of numbers in black/white list; number of contacts; number of user calls.
The system of claim 11 wherein said processor is further operative to:

Obtaining, according to the mark quality level, obtaining the latest number mark information and obtaining the corresponding feed parameter, so that the user with the higher mark quality level has a larger feed parameter;

Combining the adopting parameter, obtaining a receiving value corresponding to the current number marking information, and updating the original adopted value based on the adopted value;

The updated acquisition value is compared with the set update threshold, and when the updated acquisition value exceeds the set update threshold, the association relationship between the marker information and the number is established.
A system according to claim 11 or 12, wherein said processor calculates a mark quality level based on the base data, comprising:

Obtaining one or more coefficient values of the mark quality coefficient, the mark number, the mark correlation coefficient, and the user activity coefficient respectively based on the basic data;

Calculating the credit of the corresponding number mark quality level according to the one or more coefficient values, and obtaining a corresponding mark quality level.
The system of claim 13 wherein said processor obtains a marker quality coefficient based on the underlying data comprises:

According to the calling number list and the tag information marked by the user, the called number list and the tag information, and the number of the number of the tag, respectively, the number of coincidence of the incoming call tag and the number of the outgoing call tag are respectively calculated;

The mark quality coefficient is calculated according to the coincidence number of the incoming call mark and the number of the outgoing mark.
The system according to claim 14, wherein said obtaining, by said processor based on the base data, a mark quality coefficient comprises: reducing an incoming call mark coincidence number or increasing a specific gravity of a call mark coincidence number, and equalizing said mark quality coefficient.
The system of claim 13 wherein said processor is based on underlying data Obtaining the tag correlation coefficient includes: obtaining the tag correlation coefficient according to a ratio of a blacklist match number to a blacklist number number, or a ratio of a whitelist match number to a whitelist number number.
The system of claim 16, wherein the obtaining, by the processor, the tag association coefficient based on the base data comprises: reducing the order of the number of blacklist numbers or the number of whitelist numbers.