CN106936971B - A kind of incoming person's information presentation system and reminding method - Google Patents
A kind of incoming person's information presentation system and reminding method Download PDFInfo
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- CN106936971B CN106936971B CN201710315905.1A CN201710315905A CN106936971B CN 106936971 B CN106936971 B CN 106936971B CN 201710315905 A CN201710315905 A CN 201710315905A CN 106936971 B CN106936971 B CN 106936971B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/57—Arrangements for indicating or recording the number of the calling subscriber at the called subscriber's set
- H04M1/575—Means for retrieving and displaying personal data about calling party
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M2250/00—Details of telephonic subscriber devices
- H04M2250/60—Details of telephonic subscriber devices logging of communication history, e.g. outgoing or incoming calls, missed calls, messages or URLs
Abstract
The present invention relates to the systems of incoming person's information alert, the essential information of system alert incoming person involved in this patent, this system includes acquisition module, information pre-processing module, incoming call monitoring module, control module and output display module, the present invention also specifically provides a kind of method of incoming person's information alert, related method, which can be analyzed and be summed up from the relevant information of incoming person, to be come, the prompting of incoming person's feature is carried out to user, prompt the relevant information of incoming person, it include: that (1) passes through analysis short message, message registration, the analysis such as social network data simultaneously shows the name for carrying out some people in incoming call, both sides' interactive information, dynamic etc. recently；(2) as user's setting does not show the prompt information for being familiar with incoming person, then system to be familiar with incoming person and it is non-be familiar with incoming person and classify, and handled when showing.Come it is an advantage of the present invention that can analyze and sum up from the relevant information of incoming person, the prompting of incoming person's feature is carried out to user.
Description
Technical field
The present invention relates to the system of incoming person's information alert, system alert incoming person's is basic involved in this patent
Information, the present invention also specifically provide a kind of method of incoming person's information alert, and related method can be from the phase of incoming person
It closes information analysis and sums up, the prompting of incoming person's feature is carried out to user.
Background technique
In preceding mobile phone, the content that the caller identification of calling is usually shown is telephone number, ownership place, incoming person's head portrait (lead to
Cross and be locally stored), part incoming person's classification (promote, and this type of information can obtain by the mark of other users by such as prompt intermediary
), part corporate number (come from Yellow Page).Existing fixed mode and memory of the user to name of contact person in address list, it is main
To depend on human brain.When user forgets this name of contact person, if contact person sends a telegram here, it is inconvenient and awkward to will cause.
In well-known technique, the latest tendency by acquiring and showing when sending a telegram here contact person in acquisition social platform is proposed.
That is, reading All Contacts' number in local address book first, and will deposit on number and social networks in well-known technique
It is bound in the account of binding relationship；In real time to sending a telegram here or electricity is gone to monitor, when judgement calling or it is called when, on mobile phone
Show the social networks last state of other side.In addition, proposing mobile phone user by All Contacts and my hand in well-known technique
Machine number uploads to long-range contacts server, when mobile phone called party, if incoming number is not in the contact person of mobile phone local
In record, then the corresponding contact information of this number is searched from contacts server, and be shown on mobile phone.Due to personal name
Belong to individual privacy with information such as phone numbers, relevant information is not published on network by many personal user's selections.This just makes
When at, incoming call, the contact number of the non-local storage in part, mobile phone can not show corresponding contact information.Existing known skill
Art can not show that relevant incoming person's information prompts mobile phone user.
Summary of the invention
To solve the problems, such as technology, the present invention provides a kind of systems of incoming person's information alert, including acquisition
Module, information pre-processing module, incoming call monitoring module, control module and output display module, the information pre-processing module
It is equipped with incoming calls record analytical unit, dealing short message analytical unit and social platform SNS related content analytical unit, described adopts
Collection module is connect with the information pre-processing module, and the information pre-processing module is connect with the control module, the incoming call
Monitoring module is connect with the control module, and the control module is connect with the output display module.
According to another aspect of the present invention, a kind of method of incoming person's information alert is additionally provided, is included the following steps:
Step 1: reading the information of all contact persons for thering is communication to come and go with user in acquisition mobile phone, including read all logical
Words record, relevant content on short message reading content and social activity network SNS, this contact person include all storing contact and
Not stored contact person；
Step 2: the message registration acquired in analysis processing step 1 takes addition call impact factor b to come message registration
Analysis, specially respectively the talk times p, each duration of call d of statistics each storing contact and not stored contact person
Minute, and the call proximity l to converse every time, establish call impact factor modelCalculating has each been deposited
The call impact factor b of contact person and not stored contact person are stored up, whereinT indicates that jack per line is conversed the date point every time
Not apart from present number of days, unit is day, is denoted as 1 day in the case where 1 day discontented；It analyzes on short message content and social activity network SNS
When relevant content, keyword message is extracted；
The call impact factor b of the above analysis processing and keyword message by corresponding storage to all storing contacts and
Not stored contact person；
Step 3: the telephone number of monitoring is compared by monitoring incoming call with the All Contacts in mobile phone, and monitoring comes
When electric people is not stored contact person, then system control shows the related prompt message of incoming person；When incoming call has artificially stored connection
When people, related prompt message is not shown if the information of this storing contact contains special key words；System can be to institute herein
There is the familiarity of storing contact to be trained, obtains an impact factor and judge value parameter a；If this storing contact
Information does not contain special key words, and when call impact factor b < a, then shows the relevant information of incoming person, shadow of similarly conversing
When ringing factor b > a, then the relevant information of incoming person is not shown.
Further, value parameter a is obtained by following training process to be judged for impact factor:
A, n contact data sample is listed, this data sample includes the information of number and name；
B, arranged from big to small according to Affiliate sessions impact factor, and be divided into multiple subregions, from each subregion with
Machine selects 2 data samples；
C, since the smallest subregion of impact factor of conversing, the name and phone of data sample are selected in display, inquire user
Whether the two contact persons are remembered, if user remembers two contact persons of this same subregion, which is critical subregion, with this
The maximum call impact factor of contact person judges value parameter a as impact factor in subregion；If user does not remember this same point
Two contact persons in area then enter a upper subregion to be same as above training method and are trained.
Further, special key words described in step 3 include the word for indicating the specific appellation of kinship.
Come it is an advantage of the present invention that can analyze and sum up from the relevant information of incoming person, sends a telegram here to user
The prompting of people's feature.
Detailed description of the invention
Fig. 1 is the modular structure schematic diagram of incoming person's information presentation system.
Fig. 2 is the flow chart of incoming person's information cuing method.
Fig. 3 is a kind of display situation schematic diagram of incoming person's information alert of the present invention.
Fig. 4 is to the flow chart for judging whether to show certain contact associated information in Fig. 2 580 in detail.
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
The present invention provides a kind of systems of incoming person's information alert, with reference to Fig. 1, including acquisition module, information pre-processing
Module, incoming call monitoring module, control module and output display module, the information pre-processing module is equipped with incoming calls record point
Analyse unit, dealing short message analytical unit and social platform SNS related content analytical unit, the acquisition module and the information
Preprocessing module connection, the information pre-processing module are connect with the control module, the incoming call monitoring module and the control
The connection of molding block, the control module are connect with the output display module.In the present system, acquisition module is responsible for reading acquisition
Local message registration, address list, short message record information and to read social platform SNS by networking relevant to each contact person
The data of reading are transferred to information pre-processing module by information, acquisition module, and the information pre-processing module is divided into the progress of three steps
The pretreatment of information, including incoming calls record is analyzed, short message record is analyzed, to social platform SNS related content
It is analyzed, the data that analysis is extracted are transferred to control module by information pre-processing module.Incoming call monitoring module, can detect
The incoming information of mobile phone, and the number information data for extracting incoming call are transferred to control module, control module is supervised according to incoming call
Data information provided by module and information pre-processing module is controlled, the corresponding storing contact of incoming number is found or does not deposit
Storage contact associated information includes name, there are also state of nearest incoming person etc., control output display moulds for nearest interaction content
On block display analyzed as a result, so as to come the information of reminding mobile phone user incoming person.
Based on above system, a kind of method for additionally providing incoming person's information alert includes the following steps: with reference to Fig. 2
Step 1: there are the contact informations for communicating and coming and going with user by all in 501,510,530 reading mobile phones first,
Including reading all message registrations, short message reading content and relevant content on social activity network SNS；
The message registration acquired in processing step 1 is analyzed at step 2:520, when analysis message registration, is adopted
Calculating call impact factor b is taken to analyze, respectively the call time of statistics each storing contact and each not stored contact person
Number p, each duration of call d minutes, and the call proximity l to converse every time, establish the model of call impact factor b:Calculate the call impact factor of each storing contact and not stored contact personThe list of t
Position is day, is denoted as 1 day in the case where 1 day discontented, for example, telephone number A only made a call a duration 30 minutes before 60 days,
The call impact factor of A isTelephone number B respectively conversed 20 minutes before today and 20 days, impact factor of conversing
ForIt can be seen that the call impact factor of B is higher than A, from message registration, mobile phone user should more have print to B
As based on call impact factor, user can be according to demands of individuals, when being connected to incoming call, and only selection shows relatively strange connection
The relevant information of people, relevant information includes nearest interaction content and nearest incoming person's state herein, without showing known connection
It is the relevant information of people, this part is explained when describing Fig. 4 in detail later.We will pass through logarithm in introduction below
Show that a reasonable call impact factor judges value parameter a to judge that user is familiar with journey to incoming person according to sample training
Degree.
When analyzing relevant content on short message content and social activity network SNS at 540, keyword message is extracted.For example, short message
Content format contains " I is XXX ", such as " I is Li Xiaoming ..., ", then extracts name keyword " Li Xiaoming ".Short message content contains
Promising " I is the XXX of XX " such as " I is the Li Xiaoming of Department of Communications " then extracts name and information keys " Li Xiaoming's (traffic
Office) ".Contain surname in short message content, such as " be shown in, Li Xiaoming ", then match surname keyword message at 8 points, analyzes name key
Word.Surname keyword message includes common surname, name combination by the corpus repository of local or internet end.In addition,
Location information will be also extracted in addition to extracting name and related work unit information, system.Herein, system by search it is local or
The geographic location information repository at internet end monitors and whether there is location information keyword in short message content；System will also mention
Take the time-critical word of short message content.Such as short message content " 8 Department of Communications see ", then available time address to " 8 points " and " is handed over
Logical office ".This type of information will all be analyzed and save.In terms of SNS information extraction, firstly, searching for all SNS social networks for example
In wechat, microblogging and carry out the matched account of electric phone number；Secondly, obtaining my the account letter in these SNS social networks
Breath, and search whether the message interaction for having between account therewith, if so, system will record keyword message.；
All call impact factor b of the above analysis processing are stored corresponding in all message registrations with keyword message
Storing contact and not stored contact person；
Step 3: system is trained the familiarity of contact person, obtains an impact factor and judges value parameter a, and 550
Place incoming call monitored in real time, when the incoming person of monitoring is not stored contact person, i.e., stranger when, pass through control module will
Control output display module shows the related prompt message of incoming person；The setting of result and user is analyzed at 580, judgement is when incoming call
Artificially storing contact when, if this storing contact containing related prompt message is not shown if special key words, herein
Emphasis filters relatives' storing contact and specific appellation storing contact, as contained in the keyword message of storing contact
There are the keywords such as uncle, mother, daddy, teacher X, has this keyword and similar keyword message, then do not shown this
Storing contact related prompt message, if otherwise this storing contact without containing above-mentioned specific relatives etc keyword message
, and converse impact factor b < a when, then show the relevant information of incoming person, if this storing contact call influence because
When sub- b > a, then the relevant information of incoming person is not shown.Fig. 3 is that mobile phone interface shows situation schematic diagram, shows incoming call at 310
People's name, telephone number, telephone number ownership place and home-operator, incoming number type；Herein, incoming person is not if it is depositing
Contact person is stored up, incoming person's name is then obtained by network analysis, is then sky when cannot analyse；Incoming number type passes through interconnection
End yellow pages databases (corporate number and commercial phone number) are netted to obtain, if it is commercial number, show content be company name and
Corporate category, such as " mango real estate (house property medium) "；If it is personal number, then " personal number (has stored connection to system prompt
People or not stored contact person) ".The head portrait of incoming person is shown at 320, there are head portraits if local, show local head portrait；Such as
It is not present, then search and the matched login account head portrait of incoming number from social networks SNS, are shown.It shows to come at 330
Electric people interacts and prompts keyword on a nearest short message, incoming call, social networks SNS between user recently.It is aobvious
Show content such as " short message: XXX, recently send a telegram here: yesterday 11:00, SNS interaction: the day before yesterday has carried out comment XXXXX in wechat circle of friends,
Prompt keyword: before 3 days, dumpling shop at 8 points " state that show the nearest incoming person of acquisition social networks SNS at 340, as most
The picture or text closely issued.In Fig. 4, at 581, if user be already provided in systems do not show be familiar with stored connection
It is the relevant information of people, is obtained at 582 and calculate the resulting call of storing contact impact factor at 520, and filter relatives
The storing contact of storing contact and specific appellation, such as storing contact name contains uncle, mother, daddy, teacher X
Equal keywords.At 583, system is trained the familiarity of contact person for user,
Value parameter a is obtained by following training process to be judged for impact factor:
A, n contact data sample is listed, this data sample includes the information of number and name；
B, arranged from big to small according to Affiliate sessions impact factor, and be divided into multiple subregions, from each subregion with
Machine selects 2 data samples；
C, since the smallest subregion of impact factor of conversing, the name and phone of data sample are selected in display, inquire user
Whether the two contact persons are remembered, if user remembers two contact persons of this same subregion, which is critical subregion, with this
The maximum call impact factor of contact person judges value parameter a as impact factor in subregion；If user does not remember this same point
Two contact persons in area then enter a upper subregion to be same as above training method and are trained.
For example, sharing 200 contact persons in user's A mobile phone, calculating the call impact factor b of each contact person first and carrying out
Sequence；When showing that n=10 area is trained contact person, (from big to small, such as 200 contact persons are divided into 10 subregions
Call maximum two contact persons of impact factor can be assigned to the 1st area, and the smallest 20 meetings are assigned to the 10th area), Mei Gefen
Area randomly chooses 2 contact persons；It is contacted since the 10th area, and asks the user whether to remember the contact person, if user is simultaneously
Remember 2 contact persons in same subregion, then the subregion is adjacent partition.With the call impact factor of contact person in the subregion
Maximum value judges value parameter a as impact factor.Compare the size of incoming call call the impact factor b and a of incoming person at 584,
If it is less than a, then artificial stranger storing contact of sending a telegram here, the information of prompt 330 and 340 at 585；Such as larger than a, then
Incoming person is familiar storing contact, does not prompt 330 and 340 information at 586.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (3)
1. a kind of information cuing method of incoming person's information presentation system, it is characterised in that: including,
Step 1: reading the information of all contact persons for thering is communication to come and go with user in acquisition mobile phone, including read all call notes
Relevant content on record, short message reading content and social activity network SNS；
Step 2: the message registration acquired in analysis processing step 1 takes addition call impact factor b to divide message registration
Analysis, specially respectively the talk times p, each duration of call d point of each storing contact of statistics and not stored contact person
Clock, and the call proximity l to converse every time establish call impact factor modelCalculating has each stored
The call impact factor b of contact person and not stored contact person, whereinWherein t be jack per line converse every time the date difference
Apart from present number of days, unit is day, is denoted as 1 day in the case where 1 day discontented；Analyze phase on short message content and social activity network SNS
When the content of pass, keyword message is extracted；
The call impact factor b of the above analysis processing and keyword message by it is corresponding store to all storing contacts with do not deposit
Store up contact person；
Step 3: the telephone number of monitoring is compared, the incoming person of monitoring by monitoring incoming call with the All Contacts in mobile phone
When being not stored contact person, then system control shows the related prompt message of incoming person；When the artificial storing contact of incoming call,
Related prompt message is not shown if the information of this storing contact contains special key words；System has stored connection to all
The familiarity of people is trained, and is obtained an impact factor and is judged value parameter a, if storing contact information does not contain spy for this
Determine keyword, and when call impact factor b<a, then show the relevant information of incoming person, similarly when call impact factor b>a
It waits, does not then show the relevant information of incoming person.
2. a kind of incoming person's information cuing method as described in claim 1, it is characterised in that: impact factor is judged to be classified
Parameter a is obtained by following training process:
A, n contact data sample is listed, this data sample includes the information of number and name；
B, it is arranged from big to small according to Affiliate sessions impact factor, and is divided into multiple subregions, selected at random from each subregion
2 data samples out；
C, since the smallest subregion of impact factor of conversing, the name and phone of data sample are selected in display, are asked the user whether
Remember the two contact persons, if user remembers two contact persons of this same subregion, which is critical subregion, with the subregion
The maximum call impact factor of middle contact person judges value parameter a as impact factor；If user does not remember this same subregion
Two contact persons then enter a upper subregion to be same as above training method and are trained.
3. a kind of incoming person's information cuing method as described in claim 1, it is characterised in that: specific pass described in step 3
Key word includes the word for indicating the specific appellation of kinship.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107958423A (en) * | 2017-12-20 | 2018-04-24 | 广东宜通世纪科技股份有限公司 | User's social relationships analysis method and storage medium, server-side |
| CN107846493B (en) * | 2017-12-21 | 2019-10-25 | Oppo广东移动通信有限公司 | Call contact person control method, device and storage medium and mobile terminal |
| CN108810289B (en) * | 2018-07-12 | 2021-03-19 | 中国联合网络通信集团有限公司 | Internet label canceling method and device |
| CN109274808B (en) * | 2018-12-06 | 2021-05-07 | 成都卫士通信息产业股份有限公司 | Address book information management method and system, electronic equipment and storage medium |
| CN114095609B (en) * | 2020-06-30 | 2023-08-08 | 北京小米移动软件有限公司 | Incoming call processing method and storage medium |
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