CN101841607A - Method for obtaining family association relation between fixed-line phone and mobile phone - Google Patents
Method for obtaining family association relation between fixed-line phone and mobile phone Download PDFInfo
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Abstract
The invention discloses a method for obtaining a family association relation between a fixed-line phone and a mobile phone, comprising the following steps of: 1, finding a personal fixed-line phone number and a mobile phone number, which already have a family association relation in a local network as a sample number pair; 2, designing a wide table and establishing a family association relation model according to the communication behavior characteristic of the sample number pair and the individual characteristic; and 3, applying the communication behaviors of the personal fixed-line phone users of the entire local network to the family association relation model to obtain the mobile phone number most possibly corresponding to the family of the personal fixed-line user of the local network. The invention can find the mobile phone number (local network and other network) in family association relation with the fixed-line phone user of the local network according to the consumption behavior condition of the fixed-line phone user of the local network, which is beneficial to taking further marketing policy.
Description
Technical field
Communication technical field of the present invention relates in particular to a kind of method of obtaining family association relation between fixed line and mobile phone.
Background technology
In the modern society, people be unable to do without various communication services, and provide the competition between each communications service provider of mobile communication or fixed line communication also fierce day by day to people.Usually, each communications service provider or lay particular emphasis on a kind of communication service in fixed line or the mobile phone is provided perhaps takes into account two kinds of communication services of fixed line and mobile phone simultaneously, for example, in China telecommunications, Netcom is just arranged, moves, many families such as UNICOM stress different communications service providers.For the same user who needs the service of fixed line and mobile communication simultaneously, it can select to provide fixed line and cellular service by same communications service provider, and also can select provides fixed line and mobile communication service respectively by different communications service providers; For the communications service provider that need take into account fixed line and two kinds of communication services of mobile phone simultaneously, wish that obviously its user can select fixed line and the cellular service that it provided simultaneously.
For common carrier, the communication network of self can be called Home Network, and rival's communication network is called rete mirabile; If can (refer to fixed telephone number according to Home Network individual fixed telephone subscriber by individual or family's use, usually common carrier is registered in the individual under one's name with this fixed telephone number, therefore be called individual fixed telephone subscriber in the present invention) use consumer behavior situation, find with Home Network individual fixed telephone subscriber be the phone number (comprising Home Network and rete mirabile) of family relationship, then help taking further marketing strategy, for example merge set meal marketing or cellphone subscriber and wins back to reach from net and compete the user and instigate rebellion within enemy camp.
Summary of the invention
Therefore, the objective of the invention is to use the consumer behavior situation according to the fixed telephone subscriber of Home Network family, find with the fixed telephone subscriber of Home Network family be the phone number of family relationship.
For achieving the above object, the invention provides a kind of method of obtaining family association relation between fixed line and mobile phone, comprise the steps:
Wherein, described family association relation model adopts the CHAID algorithm to set up.
Wherein, the field of described wide table comprises:
Elementary field, it adopts absolute value reflection family to be associated with individual fixed telephone user's phone number and the existing significant statistical discrepancy of phone number that non-family is associated with individual fixed telephone user;
The standardization field, it adopts relative value with the absolute value standardization that elementary field adopted, and different domestic consumers exists on communication behavior than big-difference, causes model to have deviation with absolute value as predictive variable merely, its standardization need be drawn relative value; And
The field of deriving, it adopts the form of rank to eliminate the influence of the numerical value of elementary field and standardization field.
Wherein, the field of described wide table comprises monthly average caller number of times, the called number of times of monthly average, total number of calls, monthly average caller duration, the called duration of monthly average, total call duration, 90 seconds with interior talk times, talk times more than 90 seconds, the shortest duration of call of monthly average, the longest duration of call of monthly average, the family relationship sign, monthly average is 17-19:00 caller number of times in week, monthly average is the called number of times of 17-19:00 in week, monthly average is the total number of calls of 17-19:00 in week, monthly average is 11-13:00 caller number of times in week, monthly average is the called number of times of 11-13:00 in week, monthly average is the total number of calls of 11-13:00 in week, monthly average caller at weekend number of times, monthly average called number of times at weekend, weekend the number of calls and the monthly average duration of call.
Wherein, the field of described wide table comprises monthly average caller number of times ratio, the called number of times ratio of monthly average, total number of calls ratio, monthly average caller duration ratio, the called duration ratio of monthly average, total call duration ratio, 90 seconds with interior talk times ratio, talk times ratio more than 90 seconds, the shortest duration of call ratio of monthly average, the longest duration of call ratio of monthly average, monthly average is 17-19 caller number of times ratio in week, monthly average is the called number of times ratio of 17-19 in week, monthly average is the total number of calls ratio of 17-19 in week, monthly average is 11-13 caller number of times ratio in week, monthly average is the called number of times ratio of 11-13 in week, monthly average is the total number of calls ratio of 11-13 in week, monthly average caller at weekend number of times ratio, monthly average called number of times at weekend when weekend number of calls ratio; Ratio is the peaked ratio according to the variate-value of this fixed telephone subscriber and a certain phone number and this landline telephone and whole phone numbers.
Wherein, the field of described wide table comprises of that month caller number of times rank, of that month called number of times rank, total number of calls rank, of that month caller duration rank, of that month called duration rank, total call duration rank, 90 seconds with interior talk times rank, talk times rank more than 90 seconds, this month the shortest duration of call rank, this month the longest duration of call rank, 17-19 caller number of times rank in of that month week, the called number of times rank of 17-19 in of that month week, the total number of calls rank of 17-19 in of that month week, 11-13 caller number of times rank in of that month week, the called number of times rank of 11-13 in of that month week, the total number of calls rank of 11-13 in of that month week, of that month caller at weekend number of times rank, of that month weekend called number of times rank and weekend number of calls rank.
Wherein, the field of described wide table comprises relationship cycle registration ratio.
In a preferred embodiment, described family association relation model judges that the rule of family association relation is: talk times accounts for the ratio of maximum talk times in short-term greater than 0.976 in short-term, caller duration rank is 1, monthly average caller duration was greater than 773 seconds, called number of times rank is 1 the morning in week, and the longest duration of call of this mobile phone accounts for the longest duration of call of all mobile phones than greater than 0.447; Satisfy the individual fixed line of this rule and phone number to being family association relation.
The present invention can use the consumer behavior situation according to the Home Network fixed telephone user, and by model, finding with the Home Network fixed telephone subscriber is the phone number (Home Network and rete mirabile) of family association relation, takes further marketing strategy thereby be beneficial to.
Description of drawings
Below in conjunction with accompanying drawing,, will make technical scheme of the present invention and other beneficial effects apparent by the specific embodiment of the present invention is described in detail.
In the accompanying drawing,
Fig. 1 obtains the flow chart of the method for family association relation between fixed line and mobile phone for the present invention;
Fig. 2 is the schematic diagram of the thought of family association relation model of the present invention;
Fig. 3 is the ratio schematic diagram of the different conversation period of selected sample in the embodiments of the invention;
Fig. 4 is the family relationship of selected sample in the embodiments of the invention rank graph of always conversing;
Fig. 5 is the framework schematic diagram of the family association relation model of embodiments of the invention.
Embodiment
Figure 1 shows that the present invention obtains the flow chart of the method for family association relation between fixed line and mobile phone, this method comprises:
The present invention's association relation model thought that founds a family is:
1. assumed condition: cellphone subscriber of family and the non-cellphone subscriber of family with individual fixed line is set up the conversation relation have significant difference in the conversation behavior, and there are the one family cellphone subscriber at least in people fixed telephone user one by one;
2. basic thought: according to the individualized feature of landline telephone, obtain the family relationship scoring of related phone number with it, best result is family relationship.
Figure 2 shows that the schematic diagram of the thought of family association relation model of the present invention, as seen, suppose that certain individual fixed line exists with a lot of phone numbers and get in touch, tightness and other indexs according to conversation, obtain the family relationship scoring of cellphone subscriber and this fixed line, select scoring to be the home number of peaked phone number as this fixed line correspondence.
Below by gathering to come the present invention is specifically described as embodiment,, can come the present invention is carried out adaptive processes according to actual conditions for other common carrier from the data of Hefei telecommunications.For Hefei telecommunications, for studying its client's situation, the Home Network of required care comprises the telecommunications fixed line communication network and the CDMA mobile communication net in Hefei.
Corresponding to step 1 of the present invention, select known family's fixed line has a family association relation with it CDMA phone number to as the positive sample of modeling; And family's fixed line and its phone number whether family association relation is arranged are to being negative sample.These known family association relations can draw by client's left register information etc. when telecommunications is handled fixed line and phone number.
Sample is selected smart wanting: for the present invention, under the enough situation of sample, how many samples exert an influence limited to the result, and are the accuracy of sample.For improving the accuracy of sample, can be undertaken by following requirement when selecting sample:
1, fixed telephone user and cellphone subscriber are identical by encoder client, the account is identical, corresponding identity document number is identical, and it is right to find out number;
2, remove non-landline telephone and CDMA cellphone subscriber with state, newly-increased, the user of government and enterprises and free user;
3, remove that encoder client is identical, the account is identical, corresponding identity document number exists the number of one-to-many right with landline telephone and CDMA cellphone subscriber;
4, the invalid rejecting of ID card No., select 15 identity card year of births at (40,82) and 18 identity card year of births in (1950,1988);
5,200912,201,001 2 middle of the month, the number that a month no communication behavior is arranged is to rejecting;
6, the rejecting of fixed telephone subscriber and the non-e family of cellphone subscriber.
The bar number that meets above requirement is many more, and selected sample is more accurate comparatively speaking.Through after selecting, effectively the family association relation number is to being 1653.
Corresponding to step 2 of the present invention, next should be the wide table of family association relation modelling.This wide table comprises elementary field, and referring to table 1, its design field principle is: in this field, there are significant statistical discrepancy in domestic consumer and non-domestic consumer.In this embodiment, caller is meant the conversation behavior of being initiated by fixed line, and the called conversation behavior that is meant by the mobile phone initiation.
Table 1 elementary field
| Field name | Describe | Field name | Describe |
| ??CALLING_TIMES | Monthly average caller number of times | ??WEEK_AM_CALLINGTIMES | Monthly average is 17-19:00 caller number of times in week |
| ??CALLED_TIMES | The called number of times of monthly average | ??WEEK_AM_CALLEDTIMES | Monthly average is the called number of times of 17-19:00 in week |
| ??CALL_TIMES | Total number of calls | ??WEEK_AM_CALLTIMES | Monthly average is the total number of calls of 17-19:00 in week |
| ??CALLING_DURATION | Monthly average caller duration | ??WEEK_PM_CALLINGTIMES | Monthly average is 11-13:00 caller number of times in week |
| ??CALLED_DURATION | The called duration of monthly average | ??WEEK_PM_CALLEDTIMES | Monthly average is the called number of times of 11-13:00 in week |
| ??CALL_DURRATION | Total call duration | ??WEEK_PM_CALLTIMES | Monthly average is the total number of calls of 11-13:00 in week |
| ??SHORT_TIMES | 90 seconds with interior talk times | ??WEEKED_CALLINGTIMES | Monthly average caller at weekend number of times |
| ??LONG_TIMES | Talk times more than 90 seconds | ??WEEKED_CALLEDTIMES | Monthly average called number of times at weekend |
| ??MIN_DURATION | The shortest duration of call of monthly average | ??WEEKED_CALLTIMES | Weekend the number of calls |
| ??MAX_DURATION | The longest duration of call of monthly average | ??AVG_DURATION | The monthly average duration of call |
| ??FLAG2 | The family relationship sign |
This wide table also comprises the standardization field, and referring to table 2, its design field principle is: different domestic consumers exists on communication behavior than big-difference, causes model to have deviation with absolute value as predictive variable merely, its standardization need be drawn relative value.Wherein, ratio is the peaked ratio according to variate-value and this landline telephone and whole phone numbers of this fixed telephone subscriber and a certain phone number.
Table 2 standardization field
| Field name | Describe | Field name | Describe |
| ??CALL_TIMES_R | Monthly average caller number of times ratio | ??WEEK_AM_CALLINGTIMES_R | Monthly average is 17-19 caller number of times ratio in week |
| ??CALLING_TIMES_R | The called number of times ratio of monthly average | ??WEEK_AM_CALLEDTIMES_R | Monthly average is the called number of times ratio of 17-19 in week |
| Field name | Describe | Field name | Describe |
| ??CALLED_TIMES_R | Total number of calls ratio | ??WEEK_AM_CALLTIMES_R | Monthly average is the total number of calls ratio of 17-19 in week |
| ??CALLING_DURATION_R | Monthly average caller duration ratio | ??WEEK_PM_CALLINGTIMES_R | Monthly average is 11-13 caller number of times ratio in week |
| ??CALLED_DURATION_R | The called duration ratio of monthly average | ??WEEK_PM_CALLEDTIMES_R | Monthly average is the called number of times ratio of 11-13 in week |
| ??CALL_DURATION_R | Total call duration ratio | ??WEEK_PM_CALLTIMES_R | Monthly average is the total number of calls ratio of 11-13 in week |
| ??SHORT_TIMES_R | 90 seconds with interior talk times ratio | ??WEEKED_CALLINGTIMES_R | Monthly average caller at weekend number of times ratio |
| ??LONG_TIMES_R | Talk times ratio more than 90 seconds | ??WEEKED_CALLEDTIMES_R | Monthly average called number of times ratio at weekend |
| ??MIN_DURATION_R | The shortest duration of call ratio of monthly average | ??WEEKED_CALLTIMES_R | Weekend number of calls ratio |
| ??MAX_DURATION_R | The longest duration of call ratio of monthly average |
This wide table also comprises the field of deriving, and referring to table 3, its design field principle is: utilize the continuity and the interval property of rank, can eliminate the influence of numerical value, and have the data field stable properties.
Table 3 field of deriving
| Field name | Describe | Field name | Describe |
| ??CALLING_TIMESRANK | Of that month caller number of times rank | ??WEEK_AM_CALLINGTIMESRANK | 17-19 caller number of times rank in of that month week |
| ??CALLED_TIMESRANK | Of that month called number of times rank | ??WEEK_AM_CALLEDTIMESRANK | The called number of times rank of 17-19 in of that month week |
| ??CALL_TIMESRANK | Total number of calls rank | ??WEEK_AM_CALLTIMESRANK | The total number of calls rank of 17-19 in of that month week |
| ??CALLING_DURATIONRANK | Of that month caller duration rank | ??WEEK_PM_CALLINGTIMESRANK | 11-13 caller number of times rank in of that month week |
| ??CALLED_DURATIONRANK | Of that month called duration rank | ??WEEK_PM_CALLEDTIMESRANK | The called number of times rank of 11-13 in of that month week |
| ??CALL_DURATIONRANK | Total call duration rank | ??WEEK_PM_CALLTIMESRANK | The total number of calls rank of 11-13 in of that month week |
| Field name | Describe | Field name | Describe |
| ??SHORT_TIMESRANK | 90 seconds with interior talk times rank | ??WEEKED_CALLINGTIMESRANK | Of that month caller at weekend number of times rank |
| ??LONG_TIMESRANK | Talk times rank more than 90 seconds | ??WEEKED_CALLEDTIMESRANK | Of that month weekend called number of times rank |
| ??MIN_DURATIONRANK | This month the shortest duration of call rank | ??WEEKED_CALLTIMESRANK | Weekend number of calls rank |
| ??MAX_DURATIONRANK | This month the longest duration of call rank | ??MONTH_VOERLAPRATE | Relationship cycle registration ratio |
The present invention can guarantee to identify family association relation by the design of three wide literary name sections of table 1-table 3.Wherein, relationship cycle is: refer to and the opposite end number set formed of a number by the conversation behavior; The relationship cycle registration is: suppose i, j is two user (i: fixed telephone user, j: the cellphone subscriber), it is their relationship cycle that N (i) and N (j) distribute, N (i) is exactly the registration of these two user's relationship cycles with the common factor of N (j) so: relationship cycle registration ratio is: suppose i, j be two users (i: the fixed telephone user, j: the cellphone subscriber), total the total talk times of relationship cycle registration talk times/N (j) of two users is exactly two users' a relationship cycle registration ratio.
By to selected sample to carrying out data analysis, make Fig. 3 and Fig. 4 respectively, Fig. 3 is the ratio schematic diagram of the different conversation period of selected sample in the embodiments of the invention, and Fig. 4 is the family relationship of selected sample in the embodiments of the invention rank graph of always conversing.Fig. 3 explanation: 17 o'clock to 19 o'clock in the afternoon, this time period, can clearly find: the family association relation conversation is comparatively frequent; Wherein, percentage is represented horizontal percentage.Fig. 4 shows: right for the number of family association relation, its total talk times rank is forward.
Pointed out by Fig. 3 and rule shown in Figure 4, after designing field, can use the CHAID algorithm of third party software SPSS CLEMENTINE, generate last model.
As shown in Figure 5, it is the partial schematic diagram of the decision-making dendrogram of family association relation model in the present embodiment.By using the CHAID algorithm, family association relation model of the present invention can generate decision-making dendrogram as shown in Figure 5, this figure can generate by third party software SPSS CLEMENTINE, because the restriction of tool software, whole decision-making dendrogram is very big, in this part that has just intercepted decision tree as diagram.Under the condition of this preferred embodiment, family association relation model of the present invention determines that a sample of the rule of family association relation is: talk times accounts for the ratio of maximum talk times in short-term greater than 0.976 in short-term; Caller duration rank is 1; Monthly average caller duration was greater than 773 seconds; Called number of times rank is 1 the morning in week; The longest duration of call of this mobile phone accounts for the longest duration of call ratio of all mobile phones greater than 0.447.In sample, the number of rule condition that satisfies this sample is to having 237 pairs, and wherein 99.6% number is to being family association relation.Be appreciated that this rule is a kind of possibility situation in numerous rules,,, may change in different regional rules because the family association relation model has regional disparityization according to actual conditions, or even marked change.
After having set up the family association relation model, as shown in table 4, can every communication behavior record is right corresponding to number, judge promptly whether this number is to being family association relation; This number of family relationship scoring expression is to being the probability of family relationship; It is family association relation that family is masked as 1 expression, is that 0 expression is not a family association relation.
Table 4 family association relation model result is showed
| Fixed line number (Call_nbr) | Phone number (Called_nbr) | … | Family relationship scoring (Score) | Family's sign (Flag) |
| ??… | ??… | … | ??0.11956 | ??0 |
| ??… | ??… | … | ??0.91632 | ??1 |
| ??… | ??… | … | ??0.44047 | ??0 |
| ??… | ??… | … | ??… | ??0 |
| ??… | ??… | … | ??… | ??1 |
| ??… | ??… | … | ??… | ??… |
As shown in table 5, can reflect the difference that uses a model between prediction result and the actual result by confusion matrix.Wherein, recall ratio=1093/1653=66.1%, hit rate=1093/1669=65.5%, whole accuracy rate=(8576+1093)/and 10805=89.5%, therefore, this model can guarantee high whole accuracy rate, has than higher recall ratio and hit rate.
Table 5 modelling effect confusion matrix
| Estimate non-family relationship | Estimate family relationship | Add up to | |
| Actual non-family relationship | ??8576 | ??576 | ?9152 |
| Actual family relationship | ??560 | ??1093 | ?1653 |
| Add up to | ??9136 | ??1669 | ?10805 |
After the validity of having verified model, can be according to step 3 of the present invention, to this family association relation model, the full dose result of gained shows as shown in table 6 with the fixed telephone user's of Anhui telecommunications communication behavior utilization.
Table 6 full dose result shows
| Telecommunications | The mobile phone number | UNICOM | The mobile phone number | Move | The mobile phone number |
| Hefei | ??60601 | Hefei | ??66067 | Hefei | ??421039 |
| Anqing | ??18 | Anqing | ??121 | Anqing | ??836 |
| Bangbu | ??9 | Bangbu | ??111 | Bangbu | ??711 |
| Chaohu | ??12 | Chaohu | ??240 | Chaohu | ??1581 |
| Chizhou City | ??1 | Chizhou City | ??52 | Chizhou City | ??392 |
| Telecommunications | The mobile phone number | UNICOM | The mobile phone number | Move | The mobile phone number |
| The Chuzhou | ??7 | The Chuzhou | ??206 | The Chuzhou | ??1353 |
| Fuyang | ??28 | Fuyang | ??183 | Fuyang | ??1026 |
| The Huaibei | ??2 | The Huaibei | ??57 | The Huaibei | ??317 |
| The Huainan | ??14 | The Huainan | ??249 | The Huainan | ??1425 |
| Mount Huang | ??4 | Mount Huang | ??50 | Mount Huang | ??310 |
| Six peaces | ??37 | Six peaces | ??340 | Six peaces | ??2421 |
| Ma'an Mountain | ??8 | Ma'an Mountain | ??91 | Ma'an Mountain | ??450 |
| The Suzhou | ??5 | The Suzhou | ??72 | The Suzhou | ??464 |
| Tongling | ??7 | Tongling | ??36 | Tongling | ??369 |
| Wuhu | ??19 | Wuhu | ??215 | Wuhu | ??1347 |
| The Xuancheng | ??6 | The Xuancheng | ??85 | The Xuancheng | ??384 |
| Other provinces | ??184 | Other provinces | ??5931 | Other provinces | ??33063 |
| Add up to | ??60962 | ??74106 | ??467488 | ||
| Accounting | ??10.12％ | ??12.30％ | ??77.58％ |
The result of table 6 shows: in Hefei, in the 60 general-purpose families of fixed line for individual, family: 1, the phone number near 90% correspondence is the rete mirabile user; 2, surpassing 90% phone number is local Hefei number.
Data in conjunction with use door from the Anhui business data can obtain table 7, and its full dose result who has reflected competition analysis shows; Wherein, the data of the 1st row are used door from the Anhui business data, and the data of the 4th row are from the family association relation model; Model and marketing data are more identical, have confirmed the accuracy of model.
The full dose result of table 7 competition analysis shows
| Hefei | Telecommunications | UNICOM | Move |
| The market share | ??343542 | ??455647 | ??3169136 |
| Accounting | ??8.7％ | ??11.5％ | ??79.8％ |
| Hefei | Telecommunications | UNICOM | Move |
| The family market share | ??60601 | ??66067 | ??421039 |
| Accounting | ??11.1％ | ??12.1％ | ??76.8％ |
| Accounting is poor | ??2.4％ | ??0.6％ | ??-3.0％ |
Analyze as can be known by the data of his-and-hers watches 7: the family market share of telecommunications slightly takes advantage, and is not remarkable but data show, need go into overdrive to carry out rete mirabile and instigate rebellion within enemy camp; Family's strength of association of fixed line and rete mirabile phone number is greater than the Home Network phone number of telecommunications E6, E9.
In sum, by the method for obtaining family association relation between fixed line and mobile phone of the present invention, can use the consumer behavior situation according to the Home Network fixed telephone user, pass through model, finding with the Home Network fixed telephone subscriber is the phone number (Home Network and rete mirabile) of family association relation, takes further marketing strategy thereby be beneficial to; Can help common carrier: merge the set meal marketing; The cellphone subscriber wins back from net and reach to compete the user and instigate rebellion within enemy camp; Concerning the big common carrier of fixed line recoverable amount, instigate rebellion within enemy camp more targeted.
The above; for the person of ordinary skill of the art; can make other various corresponding changes and distortion according to technical scheme of the present invention and technical conceive, and all these changes and distortion all should belong to the protection range of accompanying Claim of the present invention.
Claims (7)
1. a method of obtaining family association relation between fixed line and mobile phone is characterized in that, comprises the steps:
Step 1, to find out in the Home Network be that the individual fixed line of family association relation and phone number are to right as the sample number;
Step 2, design the wide table and the association relation model that founds a family according to sample number right communication behavior feature and individualized feature;
Step 3, with the individual fixed telephone user's of Home Network the whole network communication behavior utilization to this family association relation model, draw the most likely phone number of family's correspondence of Home Network individual fixed telephone user.
2. the method for obtaining family association relation between fixed line and mobile phone as claimed in claim 1 is characterized in that, described family association relation model adopts the CHAID algorithm to set up.
3. the method for obtaining family association relation between fixed line and mobile phone as claimed in claim 1 is characterized in that, the field of described wide table comprises:
Elementary field, it adopts absolute value reflection family to be associated with individual fixed telephone user's phone number and the existing significant statistical discrepancy of phone number that non-family is associated with individual fixed telephone user;
The standardization field, it adopts relative value with absolute value standardization that elementary field adopted; And
The field of deriving, it adopts the form of rank to eliminate the influence of the numerical value of elementary field and standardization field.
4. the method for obtaining family association relation between fixed line and mobile phone as claimed in claim 1, it is characterized in that the field of described wide table comprises monthly average caller number of times, the called number of times of monthly average, total number of calls, monthly average caller duration, the called duration of monthly average, total call duration, 90 seconds with interior talk times, talk times more than 90 seconds, the shortest duration of call of monthly average, the longest duration of call of monthly average, the family relationship sign, monthly average is 17-19:00 caller number of times in week, monthly average is the called number of times of 17-19:00 in week, monthly average is the total number of calls of 17-19:00 in week, monthly average is 11-13:00 caller number of times in week, monthly average is the called number of times of 11-13:00 in week, monthly average is the total number of calls of 11:00-13:00 in week, monthly average caller at weekend number of times, monthly average called number of times at weekend, weekend the number of calls and the monthly average duration of call.
5. the method for obtaining family association relation between fixed line and mobile phone as claimed in claim 1, it is characterized in that the field of described wide table comprises monthly average caller number of times ratio, the called number of times ratio of monthly average, total number of calls ratio, monthly average caller duration ratio, the called duration ratio of monthly average, total call duration ratio, 90 seconds with interior talk times ratio, talk times ratio more than 90 seconds, the shortest duration of call ratio of monthly average, the longest duration of call ratio of monthly average, monthly average is 17:00-19:00 caller number of times ratio in week, monthly average is the called number of times ratio of 17:00-19:00 in week, monthly average is the total number of calls ratio of 17:00-19:00 in week, monthly average is 11-13 caller number of times ratio in week, monthly average is the called number of times ratio of 11:00-13:00 in week, monthly average is the total number of calls ratio of 11:00-13:00 in week, monthly average caller at weekend number of times ratio, monthly average called number of times at weekend when weekend number of calls ratio.
6. the method for obtaining family association relation between fixed line and mobile phone as claimed in claim 1, it is characterized in that the field of described wide table comprises of that month caller number of times rank, of that month called number of times rank, total number of calls rank, of that month caller duration rank, of that month called duration rank, total call duration rank, 90 seconds with interior talk times rank, talk times rank more than 90 seconds, this month the shortest duration of call rank, this month the longest duration of call rank, 17:00-19:00 caller number of times rank in of that month week, the called number of times rank of 17:00-19:00 in of that month week, the total number of calls rank of 17:00-19:00 in of that month week, 11:00-13:00 caller number of times rank in of that month week, the called number of times rank of 11:00-13:00 in of that month week, the total number of calls rank of 11:00-13:00 in of that month week, of that month caller at weekend number of times rank, of that month weekend called number of times rank and weekend number of calls rank.
7. the method for obtaining family association relation between fixed line and mobile phone as claimed in claim 1 is characterized in that, the field of described wide table comprises relationship cycle registration ratio.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102131149A (en) * | 2011-04-18 | 2011-07-20 | 北京神州数码思特奇信息技术股份有限公司 | Potential member excavating method of VPMN (virtual private mobile network) |
| CN103747154A (en) * | 2014-01-27 | 2014-04-23 | 中国联合网络通信集团有限公司 | Call processing method and home gateway |
| CN105160546A (en) * | 2015-08-07 | 2015-12-16 | 北京思特奇信息技术股份有限公司 | Method and system for constructing and analyzing social network |
| CN105160547A (en) * | 2015-08-07 | 2015-12-16 | 北京思特奇信息技术股份有限公司 | Cross-network identification method and system based on stable contact index |
| CN105323322A (en) * | 2015-11-17 | 2016-02-10 | 中国联合网络通信集团有限公司 | Information pushing method and device |
| CN106570014A (en) * | 2015-10-09 | 2017-04-19 | 阿里巴巴集团控股有限公司 | Method and device for determining home attribute information of user |
| CN106658564A (en) * | 2016-11-17 | 2017-05-10 | 广州杰赛科技股份有限公司 | Recognition method and device for household user |
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| CN111866146A (en) * | 2020-07-22 | 2020-10-30 | 中国联合网络通信集团有限公司 | Household user identification method and device |
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| CN102131149B (en) * | 2011-04-18 | 2013-10-09 | 北京思特奇信息技术股份有限公司 | Potential member excavating method of VPMN (virtual private mobile network) |
| CN102131149A (en) * | 2011-04-18 | 2011-07-20 | 北京神州数码思特奇信息技术股份有限公司 | Potential member excavating method of VPMN (virtual private mobile network) |
| CN103747154A (en) * | 2014-01-27 | 2014-04-23 | 中国联合网络通信集团有限公司 | Call processing method and home gateway |
| CN105160546A (en) * | 2015-08-07 | 2015-12-16 | 北京思特奇信息技术股份有限公司 | Method and system for constructing and analyzing social network |
| CN105160547A (en) * | 2015-08-07 | 2015-12-16 | 北京思特奇信息技术股份有限公司 | Cross-network identification method and system based on stable contact index |
| CN106570014A (en) * | 2015-10-09 | 2017-04-19 | 阿里巴巴集团控股有限公司 | Method and device for determining home attribute information of user |
| CN105323322A (en) * | 2015-11-17 | 2016-02-10 | 中国联合网络通信集团有限公司 | Information pushing method and device |
| CN105323322B (en) * | 2015-11-17 | 2018-11-30 | 中国联合网络通信集团有限公司 | A kind of information-pushing method and device |
| CN106658564B (en) * | 2016-11-17 | 2019-10-25 | 广州杰赛科技股份有限公司 | The recognition methods of domestic consumer a kind of and device |
| CN106658564A (en) * | 2016-11-17 | 2017-05-10 | 广州杰赛科技股份有限公司 | Recognition method and device for household user |
| CN110544190A (en) * | 2018-05-29 | 2019-12-06 | 杭州海康威视数字技术股份有限公司 | method, device and equipment for determining personnel characteristics |
| CN108804662A (en) * | 2018-06-08 | 2018-11-13 | 中国联合网络通信集团有限公司 | A kind of associated numbers acquisition methods and device |
| CN108804662B (en) * | 2018-06-08 | 2021-01-29 | 中国联合网络通信集团有限公司 | Associated number obtaining method and device |
| CN109639478A (en) * | 2018-12-07 | 2019-04-16 | 中国移动通信集团江苏有限公司 | There are the method, apparatus of family relationship client, equipment and media for identification |
| CN113065058A (en) * | 2020-01-02 | 2021-07-02 | 中国移动通信集团广东有限公司 | Family member identification method and device, electronic equipment and readable storage medium |
| CN111866146A (en) * | 2020-07-22 | 2020-10-30 | 中国联合网络通信集团有限公司 | Household user identification method and device |
| CN111866146B (en) * | 2020-07-22 | 2022-02-11 | 中国联合网络通信集团有限公司 | Household user identification method and device |
| CN115086488A (en) * | 2022-07-27 | 2022-09-20 | 广东创新科技职业学院 | Number classification method and device |
| CN115086488B (en) * | 2022-07-27 | 2022-10-25 | 广东创新科技职业学院 | Number classification method and device |
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