CN110364181B - Electronic business card generation method, device, computer equipment and storage medium - Google Patents
Electronic business card generation method, device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN110364181B CN110364181B CN201910516584.0A CN201910516584A CN110364181B CN 110364181 B CN110364181 B CN 110364181B CN 201910516584 A CN201910516584 A CN 201910516584A CN 110364181 B CN110364181 B CN 110364181B
- Authority
- CN
- China
- Prior art keywords
- voice data
- business card
- call
- client
- detected
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 53
- 238000012544 monitoring process Methods 0.000 claims abstract description 14
- 238000004590 computer program Methods 0.000 claims description 14
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000000605 extraction Methods 0.000 abstract description 5
- 230000008569 process Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 4
- 238000011161 development Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000008520 organization Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000007781 pre-processing Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000004913 activation Effects 0.000 description 1
- 239000008186 active pharmaceutical agent Substances 0.000 description 1
- 230000001149 cognitive effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/03—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters
- G10L25/24—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 characterised by the type of extracted parameters the extracted parameters being the cepstrum
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/78—Detection of presence or absence of voice signals
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/26—Devices for calling a subscriber
- H04M1/27—Devices whereby a plurality of signals may be stored simultaneously
- H04M1/274—Devices whereby a plurality of signals may be stored simultaneously with provision for storing more than one subscriber number at a time, e.g. using toothed disc
- H04M1/2745—Devices whereby a plurality of signals may be stored simultaneously with provision for storing more than one subscriber number at a time, e.g. using toothed disc using static electronic memories, e.g. chips
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/26—Devices for calling a subscriber
- H04M1/27—Devices whereby a plurality of signals may be stored simultaneously
- H04M1/274—Devices whereby a plurality of signals may be stored simultaneously with provision for storing more than one subscriber number at a time, e.g. using toothed disc
- H04M1/2745—Devices whereby a plurality of signals may be stored simultaneously with provision for storing more than one subscriber number at a time, e.g. using toothed disc using static electronic memories, e.g. chips
- H04M1/27453—Directories allowing storage of additional subscriber data, e.g. metadata
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Computer Networks & Wireless Communication (AREA)
- Library & Information Science (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses a method, a device, computer equipment and a storage medium for generating an electronic business card, which are used for firstly monitoring a call event of a client and judging whether the number of the call event is a strange number or not; if the number of the call event is a strange number, acquiring voice data in the call event; performing voice extraction on voice data to obtain voice data to be detected; sending voice data to be detected to a cloud server, and receiving a first matching result returned by the cloud server; and if the first matching result is that the matching is successful, acquiring the business card from the cloud server. Judging whether the number of the call event is an unfamiliar number according to the call event of the monitoring client, inquiring and acquiring the business card corresponding to the unfamiliar number in a preset user information base according to the voice data to be detected, and intelligently identifying and generating the business card corresponding to the unfamiliar number according to the voice data to be detected without manually inputting the information of the unfamiliar number, thereby improving the efficiency of business card generation, solving the problem of manually mistakenly inputting information and improving the accuracy of business card generation.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and apparatus for generating an electronic business card, a computer device, and a storage medium.
Background
Business cards are a medium which is frequently used by people and records and transmits contact information, a large amount of business card exchange is often involved in daily business activities, and people transmit the contact information by the way of business card exchange to establish contact with other people. With the development of the internet, electronic business cards gradually replace the conventional paper business cards.
However, the current method for generating the electronic business card requires the user to input the information on the electronic business card, such as inputting the information of the name, the telephone, the email and the like, and the manual setting method is complicated for the user.
Disclosure of Invention
The embodiment of the invention provides a method, a device, computer equipment and a storage medium for generating an electronic business card, which are used for solving the problem that the input process of the electronic business card is complicated.
An electronic business card generation method, comprising:
monitoring a call event of a client, and judging whether the number of the call event is a strange number or not;
if the number of the call event is a strange number, acquiring voice data in the call event;
Extracting the voice data to obtain voice data to be detected, wherein the voice data to be detected is voice data of a user corresponding to the strange number;
the voice data to be detected is sent to a cloud server, and a first matching result returned by the cloud server is received, wherein the first matching result is obtained by the cloud server through matching the voice data to be detected in a preset user information base;
if the first matching result is that the matching is successful, acquiring a business card from the cloud server;
and if the call event of the client is detected to be ended, sending the business card to the client.
An electronic business card generation method, comprising:
receiving voice data to be detected of strange numbers, and matching the voice data to be detected with sample voice data in a preset user information base to obtain a first matching result;
sending the first matching result to a background server;
if the first matching result is that the matching is successful, user information corresponding to the sample voice data of which the voice data to be detected is successfully matched is obtained from the preset user information base, and the target user information corresponding to the strange number is determined;
And generating a business card of the strange number based on the target user information, and sending the business card to a background server.
An electronic business card generating device, comprising:
the strange number judging module is used for monitoring a call event of the client and judging whether the number of the call event is a strange number or not;
the voice data acquisition module is used for acquiring voice data in the call event if the number of the call event is a strange number;
the to-be-detected voice data acquisition module is used for extracting voice from the voice data to acquire to-be-detected voice data, wherein the to-be-detected voice data is voice data of a user corresponding to the strange number;
the first matching result receiving module is used for sending the voice data to be detected to a cloud server and receiving a first matching result returned by the cloud server, wherein the first matching result is obtained by the cloud server through matching the voice data to be detected in a preset user information base;
the business card acquisition module is used for acquiring business cards from the cloud server if the first matching result is that the matching is successful;
and the background server side business card sending module is used for sending the business card to the client side if the conversation event of the client side is monitored to be ended.
An electronic business card generating device, comprising:
the first matching result acquisition module is used for receiving voice data to be detected of strange numbers, matching the voice data to be detected with sample voice data in a preset user information base, and acquiring a first matching result;
the first matching result sending module is used for sending the first matching result to the background server;
the target user information acquisition module is used for acquiring user information corresponding to the sample voice data successfully matched with the voice data to be detected from the preset user information base if the first matching result is successful, and determining the user information as target user information corresponding to the strange number;
and the cloud server business card sending module is used for generating the business card of the strange number based on the target user information and sending the business card to the background server.
A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the electronic business card generation method described above when the computer program is executed.
A computer readable storage medium storing a computer program which when executed by a processor implements the steps of the electronic business card generation method described above.
The electronic business card generating method, the electronic business card generating device, the computer equipment and the storage medium, wherein the electronic business card generating method comprises the following steps: monitoring a call event of a client, and judging whether the number of the call event is a strange number or not; if the number of the call event is a strange number, acquiring voice data in the call event; extracting the voice data to obtain voice data to be detected, wherein the voice data to be detected is voice data of a user corresponding to the strange number; the voice data to be detected is sent to a cloud server, and a first matching result returned by the cloud server is received, wherein the first matching result is obtained by the cloud server through matching the voice data to be detected in a preset user information base; if the first matching result is that the matching is successful, acquiring a business card from the cloud server; and if the call event of the client is detected to be ended, sending the business card to the client. Judging whether the number of the call event is an unfamiliar number according to the call event of the monitoring client, inquiring and acquiring a business card corresponding to the unfamiliar number in a preset user information base according to the voice data to be detected, and intelligently identifying and generating the business card corresponding to the unfamiliar number according to the voice data to be detected without manually inputting the information of the unfamiliar number, so that the operation amount of a user is reduced, and the generation efficiency of the business card is improved; and the problem that information of a strange number is input by manpower because attention is not concentrated is effectively solved, and the accuracy of name card generation is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the description of the embodiments of the present invention will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of an application environment of a method for generating electronic business cards according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for generating electronic business cards according to an embodiment of the present invention;
FIG. 3 is another flow chart of a method of generating electronic business cards in an embodiment of the present invention;
FIG. 4 is another flow chart of a method of generating electronic business cards in an embodiment of the present invention;
FIG. 5 is another flow chart of a method of generating electronic business cards in an embodiment of the present invention;
FIG. 6 is another flow chart of a method of generating electronic business cards in an embodiment of the present invention;
FIG. 7 is another flow chart of a method of generating electronic business cards in an embodiment of the present invention;
FIG. 8 is a schematic block diagram of an electronic business card generating device in accordance with an embodiment of the present invention;
FIG. 9 is another functional block diagram of an electronic business card generating device in an embodiment of the present invention;
FIG. 10 is a schematic diagram of a computer device in accordance with an embodiment of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The method for generating the electronic business card provided by the embodiment of the invention can be applied to an application environment as shown in fig. 1, wherein a background server communicates with a client and a cloud server through a network.
The background server monitors a call event of the client through the client and judges whether the number of the call event is a strange number or not; if the number of the call event is a strange number, acquiring voice data in the call event; extracting the voice data to obtain voice data to be detected, wherein the voice data to be detected is voice data of a user corresponding to the strange number; the voice data to be detected is sent to a cloud server, and a first matching result returned by the cloud server is received, wherein the first matching result is obtained by the cloud server through matching the voice data to be detected in a preset user information base; if the first matching result is that the matching is successful, acquiring a business card from the cloud server; and if the call event of the client is detected to be ended, sending the business card to the client. The clients may be, but are not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The background server and the cloud server can be realized by independent servers or a server cluster formed by a plurality of servers.
In an embodiment, as shown in fig. 2, a method for generating an electronic business card is provided, and the method is applied to a background server in fig. 1 for illustration, and includes the following steps:
s10: monitoring a call event of a client, and judging whether the number of the call event is a strange number or not;
the call event refers to an event that call connection is established between different users. Optionally, the background server monitors the call event of the client by using the phonesatetlist class, namely monitors call connection established between the client and other clients, wherein the phonesatetlist class is used in the following manner: the phonestatelist object is registered in the telescopemanager, and then interception is implemented by the ontallstatechanged callback method of the phonestatelist object.
Optionally, the background server may also use a TelephonyManager class to monitor the call event of the client.
And judging whether the number of the call event is a strange number. Optionally, the background server side judges whether the number of the call event is a strange number by inquiring whether the number of the call event exists in the address book.
If the background server side inquires that the number of the call event exists in the address book, judging that the number of the call event is not a strange number; if the background server side inquires that the number of the call event does not exist in the address book of the system, judging that the number of the call event is a strange number.
S20: and if the number of the call event is a strange number, acquiring voice data in the call event.
And if the number of the call event is a strange number, acquiring voice data in the call event. Optionally, the background server may acquire all the voice data in the call event, so as to prevent the voice data from being lost, and ensure the integrity of the voice data. Optionally, the background server may further obtain a section of voice data in all call events, where a section of voice data may be voice data in a period of time, so as to reduce the calculation amount of the background server and improve the calculation efficiency of the background server. For example, the period of time may be 10s, 20s, 30s, or the like.
Alternatively, the acquisition of the voice data may be accomplished using Java-side APIs (call interfaces) provided by android sdk (development tool), i.e., mediadecoder class (acquisition) and AudioTrack class (play).
Optionally, the voice data acquisition mode may also adopt an android opensles interface provided by an android dk (development tool), and voice acquisition is directly completed in Native layer (local service).
S30: and extracting the voice data to obtain voice data to be detected, wherein the voice data to be detected is the voice data of the user corresponding to the strange number.
The voice data to be detected are voice data of the user corresponding to the strange number. Alternatively, the method of obtaining the voice data to be detected may be to extract the voice features of the voice data to be detected by using mel-frequency cepstral coefficients (MFCCs, mel Frequency Cepstral Coefficents) features, thereby obtaining the voice data to be detected.
Optionally, after the background server performs voice extraction on the voice data, the method further includes: and preprocessing the voice data. The preprocessing process comprises the steps of carrying out silence removal processing on voice data, and obtaining voice data after silence removal. Preferably, voice activation detection (VAD, voiceActivityDetection) may be used to detect the original voice data to identify a voice portion and a non-voice portion, where the non-voice portion is a mute portion, and the mute portion is removed to obtain the original voice data with the silence removed, so as to obtain the voice data to be detected.
S40: the voice data to be detected is sent to a cloud server, and a first matching result returned by the cloud server is received, wherein the first matching result is obtained by the cloud server through matching the voice data to be detected in a preset user information base.
The preset user information base is a database for storing user group information, and the preset user information base is acquired through the cloud server. The specific settings of the preset user information base may also be different for different fields or circles. The preset user information base may be a database with employee information, a database with family member information, or a database with residential community personnel information, etc. The user information base may include identity information (name, gender, age, occupation, etc.), voice information (voiceprint features), contact information (phone number, address, chat account information, etc.) and the like of the user.
The background server side sends the voice data to be detected to the cloud server side, and receives a first matching result returned by the cloud server side, wherein the first matching result is obtained by matching the cloud server side in a preset user information base according to the voice data to be detected. Further, the process that the cloud server matches the voice data to be detected in a preset user information base according to the voice data to be detected is as follows: and matching the voice data to be detected with sample voice data in a preset user information base in the cloud server to obtain a first matching result. Wherein the sample speech data is standard speech data for reference. If any sample voice data matched with the voice data to be detected exists in a preset user information base, the first matching result is that the matching is successful. Otherwise, the first matching result is a matching failure.
Further, the process that the cloud server matches the voice data to be detected in the preset user information base according to the voice data to be detected may further be: firstly, matching to-be-detected voice data with sample voice data in a preset user information base in a cloud server to obtain an initial matching result, wherein the sample voice data is standard voice data for reference; obtaining a target number corresponding to the voice data to be detected from the preset user database; receiving an unfamiliar number sent by a background server, and matching the unfamiliar number with the target number to obtain a target matching result; and acquiring a first matching result based on the initial matching result and the target matching result. Preferably, the initial matching result may be that voiceprint extraction is performed on the voice data to be detected in the cloud server to obtain voiceprint data to be detected; and the cloud server performs matching in a preset user information base according to the voiceprint data to be detected to obtain the voiceprint data.
And judging whether sample voice data successfully matched with the voice data to be detected exists in the preset user information base or not according to the initial matching result, so as to judge whether a user corresponding to a strange number exists in the preset user information base or not. And judging whether the user of the strange number in the call event and the user corresponding to the target number are the same or not according to the target matching result. Judging whether a user corresponding to the strange number exists in the preset user information base or not according to the first matching result, and judging whether the user corresponding to the strange number in the call event and the user corresponding to the target number are the same. And if the cloud server detects that the voice data to be detected is matched with the sample voice data in the preset user information base and the strange number is the same as the target number, the first matching result is the successful matching. And if the cloud server detects that the voice data to be detected is not matched with the sample voice data in the preset user information base or the strange number is not identical with the target number, the first matching result is a matching failure.
S50: and if the first matching result is that the matching is successful, acquiring the business card from the cloud server.
Business cards may include names, telephones, addresses, etc. Further, the business card may also include the department, title, birthday, job entry date, anniversary, etc.
Specifically, if the first matching result is that the matching is successful, the business card is obtained from the cloud server. The business card is obtained by the cloud server from a preset user information base, user information corresponding to the sample voice data successfully matched with the voice data to be detected is obtained from the user information base preset by the cloud server, and the target user information corresponding to the strange number is determined; and generating a business card of the strange number based on the target user information, and sending the business card to a background server. The target user information is user information of a user corresponding to a strange number determined to be the own person.
S60: and if the call event of the client is detected to be ended, sending the business card to the client.
And the call event is ended, namely that the background server monitors that the call connection established between the client and the client corresponding to the strange number is disconnected. And if the call event of the client ends, the background server sends the business card to the client. Optionally, the business card can be directly displayed on the interface of the client and a prompt message is sent to prompt the user whether the business card needs to be stored.
Further, after the background server side sends the business card to the client side, the background server side sends a request for storing the business card in an address book or not to the client side, and if an instruction for confirming the storage is received, the background server side acquires the business card and stores the business card in the address book.
In the embodiment corresponding to fig. 2, monitoring a call event of a client, and judging whether the number of the call event is a strange number; if the number of the call event is a strange number, acquiring voice data in the call event; extracting the voice data to obtain voice data to be detected, wherein the voice data to be detected is voice data of a user corresponding to the strange number; the voice data to be detected is sent to a cloud server, and a first matching result returned by the cloud server is received, wherein the first matching result is obtained by the cloud server through matching the voice data to be detected in a preset user information base; if the first matching result is that the matching is successful, acquiring a business card from the cloud server; and if the call event of the client is detected to be ended, sending the business card to the client. Acquiring voice data to be detected belonging to strange numbers, inquiring and acquiring business cards corresponding to the strange numbers in a preset user information base according to the voice data to be detected, and intelligently identifying and generating the business cards corresponding to the strange numbers according to the voice data to be detected without manually inputting information of the strange numbers, so that the operation amount of a client user is reduced, and the business card generation efficiency is improved; and the problem that information of a strange number is input by manpower because attention is not concentrated is effectively solved, and the accuracy of name card generation is improved.
In one embodiment, after step S60, that is, after the call event of the client is detected to end, the business card is sent to the client, as shown in fig. 3, the electronic business card generating method further includes the following steps:
s71: inquiring whether fields matched with the preset keywords exist in the business card according to the preset keywords.
The preset keywords refer to preset words, and optionally, the preset keywords may include birthdays, job-entering days, anniversaries, and the like. The field matched with the preset keyword refers to a field with meaning similar to that of the preset keyword. And inquiring whether a field matched with the preset keyword exists in the business card or not by the background server according to the preset keyword. Wherein, matching with the preset keyword means that the same or similar fields as the preset keyword exist in the business card. For example, if the preset keyword is a birthday, inquiring whether a field matched with the birthday keyword exists in the business card based on the keyword of the birthday. The field matched with the birthday keyword comprises birthdays, birthdays or birthdays and the like.
And if the name card has a field matched with the preset keyword, indicating that important information capable of generating a prompt exists in the name card. And if the name card does not have a field matched with the preset keyword, indicating that the name card does not have important information capable of generating a prompt.
S72: and if the name card has the field matched with the preset keyword, extracting target information corresponding to the field from the name card.
The target information refers to the content corresponding to the field, and the target information may include time, further, the target information may further include a person or an event, etc. Specifically, the background database acquires the business card from the system, and extracts the target information corresponding to the field from the business card. Optionally, each of the fields corresponds to an entry header. For example, the name card includes the name: zhang III, telephone: 135xxxx8312, address: shenzhen city roasters xxx cell, birthday: xx year xx month xx day, job entry day: xxxx year xx month xx day, etc.; when the field is a birthday, extracting target information corresponding to the field as the birthday: xx year xx month xx day; when a field is an entrance day, extracting target information corresponding to the field as the entrance day: xxxx year xx month xx day.
S73: and based on the target information, sending a request for prompting whether the client is needed or not to the client.
And the background server side sends a request for prompting whether the target information needs to be sent to an interface of the client side or not to the client side based on the target information.
S74: and if the client returns an instruction needing to be prompted, acquiring a corresponding prompting date from the target information.
Specifically, if the client returns an instruction to be prompted, the background server acquires a corresponding prompting date from the target information.
S75: and if the current date reaches the prompt date, sending prompt information to the client.
The current date refers to the date of the day. And continuously matching the prompt date with the current date until the current date is successfully matched with the prompt date, indicating that the current date reaches the prompt date, and sending prompt information to the client.
Preferably, according to the prompt information, a corresponding prompt type is selected from a preset prompt type table. The prompt types can comprise birthday type, commemorative day type, forward day type and the like, and the preset prompt type table is set according to the prompt types corresponding to the prompt contents in the prompt information. Preferably, a prompt mode is set according to the prompt type, and the prompt mode can be vibration, bell or icon.
In the embodiment corresponding to fig. 3, inquiring whether a field matched with a preset keyword exists in the business card according to the preset keyword; if the name card has a field matched with the preset keyword, extracting target information corresponding to the field from the name card; based on the target information, sending a request whether prompt is needed to the client; if the client returns an instruction needing prompting, acquiring a corresponding prompting date from the target information; and if the current date reaches the prompt date, sending prompt information to the client. Judging whether a field matched with the keyword exists in the business card according to the preset keyword, forming corresponding target information according to the field matched with the keyword, and finally sending the prompt information to an interface of the client for display, wherein the whole process does not need to manually input the prompt information, an automatic prompt function is realized, the prompt information can be generated while the client acquires the business card, and the prompt information is automatically sent to the client at the prompt time, so that the efficiency of generating the prompt information is improved.
In an embodiment, in step S20, that is, after the number of the call event is a strange number, as shown in fig. 4, the method may specifically further include:
s81: judging whether the strange number is a preset telephone number, wherein the preset telephone number comprises a special telephone number, a service number or a malicious number.
The preset telephone number is a number of common knowledge within a preset citizen cognitive range. The special telephone number is a telephone number set up by the telecommunications department for convenience to the public, such as a police 110, fire 119, etc. The service number is a telephone number set up by a communication service organization, a physical distribution organization, a eating organization, or the like. Malicious numbers refer to telephone numbers that call too frequently. Malicious numbers include numbers that are fraud, harassment, malicious registration, etc.
In this step, the background server side matches the strange number with the preset telephone number, and judges whether the strange number is the preset telephone number according to the matching result.
S82: and if the strange number is not the preset telephone number, executing the step of acquiring the voice data of the call event.
And if the strange number is not the preset telephone number, executing the step of acquiring the voice data of the conversation time.
In the embodiment corresponding to fig. 4, determining whether the strange number is a preset telephone number, where the preset telephone number includes a special telephone number, a service number or a malicious number; and if the strange number is not the preset telephone number, executing the step of acquiring the voice data of the call event. Whether the strange number is an interference number is determined by judging whether the strange number is a preset telephone number, the range limited to the strange number is further reduced, the calculation amount of a background server is reduced, and the business card generation efficiency is improved.
In an embodiment, in step S60, that is, after the business card is obtained from the cloud service end, as shown in fig. 5, the method for generating an electronic business card further includes the following steps:
s91: and acquiring an interpersonal score sent by a cloud server, wherein the interpersonal score is a score corresponding to the interpersonal relationship between a user corresponding to the obtained strange number and a user corresponding to the client number, which is acquired by the cloud server from a preset user information base.
And sending the strange number and the client number to the cloud server to acquire the personal score sent by the cloud server. The cloud server acquires target information corresponding to the strange number and target information corresponding to the client number from a preset user information base, and further, the target information further comprises department positions.
Acquiring department positions in target information corresponding to the strange numbers and the client numbers; based on the strange number and the department position corresponding to the client number, analyzing the relationship between the strange user and the client user to obtain the interpersonal relationship between the strange number user and the client user, wherein the strange number corresponds to the strange user and the client number corresponds to the client user; and acquiring the personal scores corresponding to the personal relationships of the stranger users and the client users from a preset personal relationship score table based on the personal relationships of the stranger users and the client users. The preset interpersonal relationship score table is set according to the grade and the affiliated departments, and the interpersonal scores of the same grade and the affiliated departments are higher.
For example, if the relationship between the strange number and the user corresponding to the client number is the same-department same-level relationship, the interpersonal score corresponding to the interpersonal relationship is 1; if the relationship between the strange number and the user corresponding to the client number is the relationship between the same department and the upper and lower levels, the interpersonal score corresponding to the interpersonal relationship between the strange number and the client number is 0.8.
S92: and acquiring a history call record of the strange number, wherein the history call record comprises call duration and call times.
The background server side obtains a history call record of the strange number, wherein the history call record comprises call duration and call times. Further, the history call record also includes a call date. The call duration refers to the length of the call time, for example, the call duration may be 10 seconds, 10 minutes, or 1 hour. The number of calls refers to the number of times of establishing call connection between the client and the client of the strange number, for example, the number of calls may be 1, 10, 100, etc.
S93: and obtaining a duration score corresponding to the call duration and a weight value corresponding to the call times from a preset call table according to the call duration and the call times.
The preset call table is a table created according to the call duration and the call times. And obtaining a duration score corresponding to each call duration and a weight value corresponding to each call frequency from a preset call table according to the call duration and the call frequency. The longer the call duration, the higher the duration score, for example, the call duration of 10 seconds corresponds to a duration score of 1 minute and the call duration of 10 minutes corresponds to a duration score of 10 minutes. Similarly, the more the number of calls, the higher the corresponding weight value, for example, the weight value for 1 call is 0.1, and the weight value for 10 calls is 1.
In this step, according to the call duration and the call times, a duration score corresponding to each call duration and a weight value corresponding to each call time are obtained from a preset call table.
S94: based on the duration score, the weight value of the call times and the interpersonal score, calculating the interpersonal score by adopting the following contact value calculation formula to obtain a contact value between a user corresponding to a strange number and a user corresponding to the client:
wherein p is i Duration score, w, of call duration i Is the weight value of the number of calls, k i The personal score of the personal relationship, P is the contact value between the strange user and the client user.
Optionally, the contact value between each stranger and the client user is determined by the duration score of the call, the weight value of the number of calls, and the personal score of the personal relationship between the two.
Specifically, a formula is calculated through a contact value based on the duration score, the weight value of the number of calls and the interpersonal relationshipAnd calculating to obtain the contact value of the strange user and the client user. Wherein p is i For the duration score of each call duration, w i For the weight value of each call number, k j The personal score of the personal relationship, P is the contact value between the strange user and the client user.
For example, if the relationship between the strange number and the user corresponding to the client number is the same-department and same-class relationship, and the system statistics obtains that the number of times of the conversation between the strange user and the client user is 2 times, where the first time of the conversation is 10 seconds, and the second time of the conversation is 10 minutes, the contact value between the strange user and the client user is: (0.1×1+0.2×10) 1=3 minutes.
S95: and if the contact value exceeds a preset threshold value, executing the step of sending the business card to the client if the call event of the client is ended.
The predetermined threshold is a predetermined score, alternatively, the predetermined threshold may be 3, 10, 50, etc. Specifically, if the contact value exceeds a preset threshold, the step of sending the business card to the client is executed if the call event of the client is ended, wherein the relationship degree between the strange user and the client user is close.
In the embodiment corresponding to fig. 5, calculating the interpersonal score by using a contact value calculation formula through the duration score, the weight value of the number of calls and the interpersonal score, and obtaining a contact value between a user corresponding to a strange number and a user corresponding to the client; judging the relation degree between the strange user and the client user according to the contact value, further confirming whether the business card needs to be produced or not according to the relation degree, avoiding the problem that a large number of strange numbers generate business cards, and improving the effectiveness and usability of generating the business cards.
In one embodiment, as shown in fig. 6, an electronic business card generating method is provided, and the method is applied to the cloud service end in fig. 1 for illustration, and includes the following steps:
s10': and receiving voice data to be detected of an unfamiliar number, and matching the voice data to be detected with sample voice data in a preset user information base to obtain a first matching result.
The sample speech data is standard speech data for reference. The cloud server receives voice data to be detected, matches the voice data to be detected with sample voice data in a preset user information base, and obtains a first matching result; further, voiceprint processing is carried out on the voice data to be detected, voiceprint data to be detected is obtained, and the voiceprint data to be detected is matched with sample voiceprint data. And if the first matching result is successful, the fact that the user corresponding to the strange number exists in the preset user information base is indicated. If the first matching result is that the matching fails, the fact that the user corresponding to the strange number does not exist in the preset user information base is indicated.
S20': and sending the first matching result to a background server.
And the cloud server sends the first matching result to the background server.
S30': if the first matching result is that the matching is successful, user information corresponding to the sample voice data of the voice data to be detected, which is successfully matched with the sample voice data, is obtained from the preset user information base, and the target user information corresponding to the strange number is determined.
If the first matching result is that the matching is successful, user information corresponding to the sample voice data of the voice data to be detected, which is successfully matched, is obtained from a preset user information base, and the corresponding user information is determined to be target user information corresponding to the strange number. Alternatively, the user information may include the user information base may include identity information (name, gender, age, occupation, etc.), voice information (voiceprint features), contact information (phone number, address or chat account information, etc.) and the like of the user.
S40': and generating a business card of a strange number based on the target user information, and sending the business card to a background server.
Specifically, a business card of a strange number generated based on target user information is sent to a background server. Alternatively, the business card may include a name, a telephone, an address, and the like. Further, the business card may also include the department, title, birthday, job entry date, anniversary, etc.
In the embodiment corresponding to fig. 6, receiving voice data to be detected of a strange number, and matching the voice data to be detected with sample voice data in a preset user information base to obtain a first matching result; sending the first matching result to a background server; if the first matching result is that the matching is successful, user information corresponding to the sample voice data of which the voice data to be detected is successfully matched is obtained from the preset user information base, and the target user information corresponding to the strange number is determined; and generating a business card of the strange number based on the target user information, and sending the business card to a background server. The cloud server is provided with a preset user information base, and matching of the voice data to be detected and the sample voice data is executed, so that the calculated amount of the background server is reduced, and the operation efficiency of the background server is improved.
In one embodiment, the voice data to be detected includes voice information to be detected and strange number information. The voice data to be detected is the voice data of the user corresponding to the strange number, the voice information to be detected is the voice information in the voice data to be detected in the call event, and the strange number information is the number information corresponding to the strange number in the call event.
In this embodiment, the matching between the voice data to be detected and the sample voice data in the preset user information base, to obtain a first matching result, as shown in fig. 7, specifically includes the following steps:
s11': and matching the voice information to be detected with sample voice information in a preset user information base to obtain an initial matching result.
The voice data to be detected comprises voice information to be detected and strange number information, and the sample voice data comprises sample voice information. The sample voice data is standard voice data for reference, and the sample voice information is standard voice information for reference. The cloud server matches the voice information to be detected with sample voice information in a preset user information base, and if the voice information to be detected is successfully matched with any sample voice information in the preset user information base, the initial matching result is indicated as successful matching; if the voice information to be detected is not successfully matched with all the sample voice information in the preset user information base, the initial matching result is a matching failure.
S12': and acquiring a target number corresponding to the voice information to be detected from the preset user database.
The cloud server acquires initial user information corresponding to the voice data to be detected from a preset user information base; and acquiring target number information of the initial user information based on the initial user information. The initial user information refers to user information of a user corresponding to a strange number that may be the own person.
S13' matches the strange number information with the target number information to obtain a target matching result.
The voice data to be detected comprises strange number information, the strange number information is matched with the target number information, and a target matching result is obtained. Judging whether a person who dials or answers is an strange number owner or not through a target matching result, if the target matching result is that the person who dials or answers is the strange number owner, determining that the person who dials or answers is the strange number owner, acquiring target user information corresponding to strange number information, and determining target user information corresponding to the strange number based on the target user information.
S14': and acquiring a first matching result based on the initial matching result and the target matching result.
And acquiring a first matching result based on the initial matching result and the target matching result. Judging whether a user corresponding to the strange number exists in the preset user information base or not according to the first matching result, and judging whether the user corresponding to the strange number in the call event and the user corresponding to the target number are the same. If the cloud server detects that the voice data to be detected is matched with sample voice data in a preset user information base and the strange number is the same as the target number, namely the initial matching result and the target matching result are both successful in matching, the first matching result is successful in matching. If the cloud server detects that the voice data to be detected is not matched with the sample voice data in the preset user information base or the strange number is not the same as the target number, namely the initial matching result is a matching failure or the target matching result is a matching failure, the first matching result is a matching failure.
In the embodiment corresponding to fig. 7, matching the voice data to be detected with sample voice data in a preset user information base to obtain an initial matching result; acquiring target number information corresponding to the voice data to be detected from the preset user database; matching the strange number information with the target number information to obtain a target matching result; and acquiring a first matching result based on the initial matching result and the target matching result. And judging whether the user corresponding to the strange number and the user corresponding to the strange number information and the target number are the users or not in the preset user information base according to the first matching result. The method and the device can judge whether the user corresponding to the strange number information exists in the preset user information base, so that the business card generation efficiency is improved, the strange number is prevented from being used by a non-self person, and the business card generation accuracy is improved.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
In one embodiment, an electronic business card generating device is provided, and the electronic business card generating device corresponds to the electronic business card generating method in the embodiment one by one. As shown in fig. 8, the electronic business card generating device includes a strange number judging module 10, a voice data acquiring module 20, a voice data acquiring module 30 to be detected, a first matching result receiving module 40, a business card acquiring module 50 and a background server business card transmitting module 60. The functional modules are described in detail as follows:
the strange number judging module 10 is used for monitoring a call event of the client and judging whether the number of the call event is a strange number or not;
the voice data obtaining module 20 is configured to obtain voice data in the call event if the number of the call event is a strange number;
the to-be-detected voice data obtaining module 30 is configured to perform voice extraction on the voice data to obtain to-be-detected voice data, where the to-be-detected voice data is voice data of a user corresponding to the strange number;
the first matching result receiving module 40 is configured to send the voice data to be detected to a cloud server, and receive a first matching result returned by the cloud server, where the first matching result is obtained by the cloud server performing matching in a preset user information base according to the voice data to be detected;
The business card obtaining module 50 is configured to obtain a business card from the cloud server if the first matching result is that the matching is successful;
the background service side business card sending module 60 is configured to send the business card to the client if the call event of the client is detected to end.
Further, the electronic business card generating device provided by the embodiment further comprises an information prompt module, wherein the information prompt module comprises the field matching unit, the target information extracting unit, the prompt request judging unit, the prompt date acquiring unit and the prompt information sending unit.
A field matching unit, configured to query, according to a preset keyword, whether a field matching the preset keyword exists in the business card;
a target information extraction unit, configured to extract target information corresponding to a field in the business card if the field matching the preset keyword exists in the business card;
the prompt request demand judging unit is used for sending a request of whether prompt is needed or not to the client based on the target information;
the prompt date acquisition unit is used for acquiring a corresponding prompt date from the target information if the client returns an instruction needing to be prompted;
And the prompt information sending unit is used for sending the prompt information to the client if the current date reaches the prompt date.
Further, the electronic business card generating device provided in this embodiment further includes a preset number judging module, where the preset number judging module includes a preset number judging unit and a voice data obtaining unit.
A preset number judging unit, configured to judge whether the strange number is a preset telephone number, where the preset telephone number includes a special telephone number, a service number, or a malicious number;
and the voice data acquisition unit is used for executing the step of acquiring the voice data of the call event if the strange number is not the preset telephone number.
Further, the electronic business card generating device provided by the embodiment further comprises a contact value obtaining module, wherein the contact value obtaining module comprises an interpersonal score obtaining unit, a historical call record obtaining unit, an information score obtaining unit, a contact value obtaining unit and a threshold judging unit.
The personal score acquisition unit is used for acquiring personal scores sent by the cloud server, wherein the personal scores are scores corresponding to personal relationships of the strange numbers and users corresponding to the client numbers, which are acquired by the cloud server from a preset user information base;
A history call record obtaining unit, configured to obtain a history call record of the strange number, where the history call record includes a call duration and a call number;
the information score obtaining unit is used for obtaining a time score corresponding to the call time and a weight value corresponding to the call times from a preset call table according to the call time and the call times;
the contact value obtaining unit is used for calculating by adopting the following contact value calculation formula based on the duration score, the weight value of the call times and the interpersonal score to obtain the contact value between the user corresponding to the strange number and the user corresponding to the client:
wherein p is i Duration score, w, of call duration i Is the weight value of the number of calls, k i The interpersonal score of the interpersonal relationship, P is the contact value of the strange user and the client user;
and the threshold judging unit is used for executing the step of sending the business card to the client if the call event of the client ends if the contact value exceeds a preset threshold.
In one embodiment, an electronic business card generating device is provided, and the electronic business card generating device corresponds to the electronic business card generating method in the embodiment one by one. As shown in fig. 9, the electronic business card generating device includes a first matching result acquiring module 10', a first matching result transmitting module 20', a target user information acquiring module 30', and a cloud service business card transmitting module 40'. The functional modules are described in detail as follows:
A first matching result obtaining module 10' configured to receive voice data to be detected of a strange number, and match the voice data to be detected with sample voice data in a preset user information base to obtain a first matching result;
a first matching result sending module 20' configured to send the first matching result to a background server;
the target user information obtaining module 30' is configured to obtain, if the first matching result is that the matching is successful, user information corresponding to the sample voice data that is to be detected and that is to be detected is obtained from a preset user information base, and determine that the target user information is corresponding to a strange number;
the cloud service side business card sending module 40' generates a business card of the strange number based on the target user information and sends the business card to the background service side.
Further, the first matching result obtaining module 10' of the electronic business card generating device provided in this embodiment includes an initial matching result obtaining unit, a target number information obtaining unit, a target matching result obtaining unit, and a first matching result obtaining unit.
The initial matching result obtaining unit is used for matching the voice information to be detected with sample voice information in a preset user information base to obtain an initial matching result;
The target number information acquisition unit is used for acquiring target number information corresponding to the voice information to be detected from the preset user database;
the target matching result obtaining unit is used for matching the strange number information with the target number information to obtain a target matching result;
and the first matching result acquisition unit is used for acquiring a first matching result based on the initial matching result and the target matching result.
The specific limitation of the electronic business card generating device can be referred to the limitation of the electronic business card generating method hereinabove, and the detailed description thereof is omitted. The modules in the electronic business card generating device can be realized in whole or in part by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 10. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing voice data, voice data to be detected, business cards, target information and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by a processor, implements a method of electronic business card generation.
In one embodiment, a computer device is provided comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of when executing the computer program:
monitoring a call event of a client, and judging whether the number of the call event is a strange number or not;
if the number of the call event is a strange number, acquiring voice data in the call event;
extracting the voice data to obtain voice data to be detected, wherein the voice data to be detected is voice data of a user corresponding to the strange number;
the voice data to be detected is sent to a cloud server, and a first matching result returned by the cloud server is received, wherein the first matching result is obtained by the cloud server through matching the voice data to be detected in a preset user information base;
if the first matching result is that the matching is successful, acquiring a business card from the cloud server;
and if the call event of the client is detected to be ended, sending the business card to the client.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
Monitoring a call event of a client, and judging whether the number of the call event is a strange number or not;
if the number of the call event is a strange number, acquiring voice data in the call event;
extracting the voice data to obtain voice data to be detected, wherein the voice data to be detected is voice data of a user corresponding to the strange number;
the voice data to be detected is sent to a cloud server, and a first matching result returned by the cloud server is received, wherein the first matching result is obtained by the cloud server through matching the voice data to be detected in a preset user information base;
if the first matching result is that the matching is successful, acquiring a business card from the cloud server;
and if the call event of the client is detected to be ended, sending the business card to the client.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the various embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others. It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.
Claims (6)
1. An electronic business card generating method, characterized by comprising:
monitoring a call event of a client, and judging whether the number of the call event is a strange number or not;
if the number of the call event is a strange number, acquiring voice data in the call event;
extracting the voice data to obtain voice data to be detected, wherein the voice data to be detected is voice data of a user corresponding to the strange number;
the voice data to be detected is sent to a cloud server, and a first matching result returned by the cloud server is received, wherein the first matching result is obtained by the cloud server through matching the voice data to be detected in a preset user information base;
If the first matching result is that the matching is successful, acquiring a business card from the cloud server;
if the call event of the client is monitored to be finished, sending the business card to the client;
after the business card is acquired from the cloud service end, the electronic business card generating method further comprises the following steps:
acquiring an interpersonal score sent by a cloud server, wherein the interpersonal score is a score corresponding to the interpersonal relationship of a user, corresponding to the acquired strange number and the client number, obtained by the cloud server from a preset user information base;
acquiring a history call record of the strange number, wherein the history call record comprises call duration and call times;
according to the call duration and the call times, obtaining a duration score corresponding to the call duration and a weight value corresponding to the call times from a preset call table;
based on the duration score, the weight value of the call times and the interpersonal score, calculating by adopting the following contact value calculation formula to obtain a contact value between a user corresponding to the strange number and a user corresponding to the client:
wherein p is i Duration score, w, of call duration i Is the weight value of the number of calls, k i The interpersonal score of the interpersonal relationship, P is the contact value of the strange user and the client user;
and if the contact value exceeds a preset threshold value, executing the step of sending the business card to the client if the call event of the client is detected to be ended.
2. The electronic business card generating method of claim 1, wherein after said sending said business card to said client if said monitoring said call event of said client ends, said electronic business card generating method further comprises:
inquiring whether a field matched with a preset keyword exists in the business card according to the preset keyword;
if the name card has a field matched with the preset keyword, extracting target information corresponding to the field from the name card;
based on the target information, sending a request whether prompt is needed to the client;
if the client returns an instruction needing prompting, acquiring a corresponding prompting date from the target information;
and if the current date reaches the prompt date, sending prompt information to the client.
3. The electronic business card generating method as in claim 1, wherein after said number of said call event is a strange number, said electronic business card generating method further comprises:
Judging whether the strange number is a preset telephone number, wherein the preset telephone number comprises a special telephone number, a service number or a malicious number;
and if the strange number is not the preset telephone number, executing the step of acquiring the voice data of the call event.
4. An electronic business card generating device, characterized by comprising:
the strange number judging module is used for monitoring a call event of the client and judging whether the number of the call event is a strange number or not;
the voice data acquisition module is used for acquiring voice data in the call event when the number of the call event is a strange number;
the to-be-detected voice data acquisition module is used for extracting voice from the voice data to acquire to-be-detected voice data, wherein the to-be-detected voice data is voice data of a user corresponding to the strange number;
the first matching result receiving module is used for sending the voice data to be detected to a cloud server and receiving a first matching result returned by the cloud server, wherein the first matching result is obtained by the cloud server through matching the voice data to be detected in a preset user information base;
The business card acquisition module is used for acquiring business cards from the cloud server when the first matching result is that the matching is successful;
the background server side business card sending module is used for sending the business card to the client side if the conversation event of the client side is monitored to be ended;
the electronic business card generating device further comprises a contact value obtaining module, wherein the contact value obtaining module comprises an interpersonal score obtaining unit, a historical call record obtaining unit, an information score obtaining unit, a contact value obtaining unit and a threshold judging unit;
the personal score acquisition unit is used for acquiring personal scores sent by the cloud server, wherein the personal scores are scores corresponding to personal relationships of the strange numbers and users corresponding to the client numbers, which are acquired by the cloud server from a preset user information base;
a history call record obtaining unit, configured to obtain a history call record of the strange number, where the history call record includes a call duration and a call number;
the information score obtaining unit is used for obtaining a time score corresponding to the call time and a weight value corresponding to the call times from a preset call table according to the call time and the call times;
The contact value obtaining unit is used for calculating by adopting the following contact value calculation formula based on the duration score, the weight value of the call times and the interpersonal score to obtain the contact value between the user corresponding to the strange number and the user corresponding to the client:
wherein p is i For talkingDuration score, w of duration i Is the weight value of the number of calls, k i The interpersonal score of the interpersonal relationship, P is the contact value of the strange user and the client user;
and the threshold judging unit is used for executing the step of sending the business card to the client if the call event of the client is monitored to be ended if the contact value exceeds the preset threshold.
5. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the electronic business card generation method of any one of claims 1 to 3 when the computer program is executed by the processor.
6. A computer-readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the electronic business card generation method of any one of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910516584.0A CN110364181B (en) | 2019-06-14 | 2019-06-14 | Electronic business card generation method, device, computer equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910516584.0A CN110364181B (en) | 2019-06-14 | 2019-06-14 | Electronic business card generation method, device, computer equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110364181A CN110364181A (en) | 2019-10-22 |
| CN110364181B true CN110364181B (en) | 2024-03-08 |
Family
ID=68217346
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910516584.0A Active CN110364181B (en) | 2019-06-14 | 2019-06-14 | Electronic business card generation method, device, computer equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110364181B (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104182406A (en) * | 2013-05-23 | 2014-12-03 | 北京千橡网景科技发展有限公司 | Electronic business card creating method, electronic business card retrieval method and relevant system |
| CN106713593A (en) * | 2016-12-05 | 2017-05-24 | 宇龙计算机通信科技(深圳)有限公司 | Method and device for automatic processing of unknown telephone numbers |
| CN106921795A (en) * | 2017-02-09 | 2017-07-04 | 惠州Tcl移动通信有限公司 | A kind of contact data management method and its system |
| WO2018018845A1 (en) * | 2016-07-29 | 2018-02-01 | 宇龙计算机通信科技(深圳)有限公司 | Contact search method, device, and terminal |
-
2019
- 2019-06-14 CN CN201910516584.0A patent/CN110364181B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104182406A (en) * | 2013-05-23 | 2014-12-03 | 北京千橡网景科技发展有限公司 | Electronic business card creating method, electronic business card retrieval method and relevant system |
| WO2018018845A1 (en) * | 2016-07-29 | 2018-02-01 | 宇龙计算机通信科技(深圳)有限公司 | Contact search method, device, and terminal |
| CN106713593A (en) * | 2016-12-05 | 2017-05-24 | 宇龙计算机通信科技(深圳)有限公司 | Method and device for automatic processing of unknown telephone numbers |
| CN106921795A (en) * | 2017-02-09 | 2017-07-04 | 惠州Tcl移动通信有限公司 | A kind of contact data management method and its system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110364181A (en) | 2019-10-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109672786B (en) | Incoming call answering method and device | |
| CN109429230B (en) | Communication fraud identification method and system | |
| US10091643B2 (en) | Method and apparatus for displaying associated information in electronic device | |
| CN109086317B (en) | Risk control method and related device | |
| US9143884B2 (en) | Enhancing information delivery to a called party | |
| CN109510806B (en) | Authentication method and device | |
| CN109726265A (en) | Assist information processing method, equipment and the computer readable storage medium of chat | |
| CN103179245A (en) | System, method and program product for identifying calling telephone numbers | |
| KR20150041592A (en) | Method for updating contact information in callee electronic device, and the electronic device | |
| CN107465797B (en) | Incoming call information display method and device for terminal equipment | |
| CN113051389B (en) | Knowledge pushing method and device | |
| WO2019144624A1 (en) | Method and device for processing call and storage medium | |
| CN111970295B (en) | Multi-terminal-based call transaction management method and device | |
| CN110364181B (en) | Electronic business card generation method, device, computer equipment and storage medium | |
| CN117252429A (en) | Risk user identification method and device, storage medium and electronic equipment | |
| JP2014197140A (en) | Customer identity verification support system for operator, and method therein | |
| JP6295712B2 (en) | Call center system, personal identification management device, personal identification management method, and personal identification management program | |
| CN114157763A (en) | Information processing method and device in interactive process, terminal and storage medium | |
| CN115510182A (en) | User complaint responsibility determination method, device, storage medium and device | |
| CN113111153A (en) | Data analysis method, device, equipment and storage medium | |
| CN110555716A (en) | Data processing method, data processing device, computer equipment and storage medium | |
| WO2014074936A2 (en) | Enhancing information delivery to a called party | |
| US20150181034A1 (en) | Communication terminal, control method, and program | |
| CN111343223B (en) | Information pushing method and terminal | |
| TWM552129U (en) | Automated verification system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |