CN103501374A - Telephone book sequencing method and device as well as terminal - Google Patents

Telephone book sequencing method and device as well as terminal Download PDF

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Publication number
CN103501374A
CN103501374A CN201310450274.6A CN201310450274A CN103501374A CN 103501374 A CN103501374 A CN 103501374A CN 201310450274 A CN201310450274 A CN 201310450274A CN 103501374 A CN103501374 A CN 103501374A
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contact person
good friend
attribute
social networks
weights
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CN103501374B (en
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赵友军
王蓓蓓
李显洲
廖军
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China United Network Communications Group Co Ltd
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China United Network Communications Group Co Ltd
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Abstract

The invention provides a telephone book sequencing method and device as well as a terminal. The telephone book sequencing method comprises the following steps: obtaining attributes of friends of a social network; matching the attributes of the friends of the social network with attributes of linkmen in a telephone book; determining the attributes of the friends of the social network in the linkmen in the telephone book and the linkmen matched with the attributes of the linkmen in the telephone book; determining the intimacy of the matched linkmen; and sequencing the matched linkmen in the telephone book according to the intimacy. According to the telephone book sequencing method and device as well as the terminal, the problem in the relative technology that the efficiency is lower when the social friends are searched in the telephone book is solved and the searching efficiency is improved.

Description

Telephone directory sequencing method and device, terminal
Technical field
The present invention relates to the communication technology, relate in particular to a kind of telephone directory sequencing method and device, terminal.
Background technology
Along with the development of mobile communication technology and the raising of people's living standard, mobile terminal has become people's routine work indispensable electronic product of living.Mobile terminal, when the initiating communication business, as phone or note, all needs by the corresponding contact person of phone book lookup.And, along with the fast development of microelectric technique and the growth of service time, the contact person that the mobile terminal telephone directory comprises is more and more, from an even hundreds of contact person up to a hundred, search contact person inconvenience very.In order to facilitate the user promptly to find a certain specific contact person, can be by telephone directory sequencing is selected possible contact person for the user.Sort method in correlation technique is that the lexicographic order by name of contact person is sorted, and also has the frequency that contacts according to the conversation with the contact person or short message to be sorted.
Be accompanied by the fast development of mobile Internet and the rapid rise of social networks, by mobile terminal, use social networks as mobile phone QQ, micro-letter etc., the contact relatives and friends have become people, especially young man's main liaison method at ordinary times.Wherein, social networks (Social Networking Services is called for short SNS) is for to be intended to help people to set up the internet, applications service of social network.Have a plurality of social networking service provider on Vehicles Collected from Market, domestic as happy net, Renren Network, Tengxun (QQ) etc., abroad as face book (Facebook) etc.In addition, the userbase of social networks is very huge.For example: according to statistics, the monthly active users of Renren Network nearly 100,000,000 of current largest domestic SNS website; In domestic 5.6 hundred million Internet user, the user over 50% is using the SNS website; 21-25 year this age group main force that is the SNS website user, account for more than whole four one-tenths (42.7%), the user below 30 years old accounts for more than 90% of SNS website user.The SNS social networks has replaced the liaison methods such as traditional note, conversation to a certain extent, becomes main communication way.
Search the lower problem of social good friend's efficiency for telephone directory sequencing method in correlation technique, not yet propose at present effective solution.
Summary of the invention
The invention provides a kind of telephone directory sequencing method and device, terminal.
First aspect of the present invention is to provide a kind of telephone directory sequencing method, comprising: the attribute that obtains the good friend of social networks; The attribute of contact person in the good friend's of social networks attribute and telephone directory is mated to the contact person that in the good friend's of definite described social networks attribute and described telephone directory, contact person's attribute is complementary in the contact person of described telephone directory; Determine the described contact person's who is complementary cohesion; According to described cohesion, the contact person who is complementary described in described telephone directory is sorted.
Another aspect of the present invention is to provide a kind of telephone directory sequencing device, comprising: acquisition module, for the good friend's that obtains social networks attribute; The first determination module, for the good friend's of social networks attribute and telephone directory contact person's attribute is mated, and the contact person that in the good friend's of definite described social networks attribute and described telephone directory, contact person's attribute is complementary in the contact person of described telephone directory; The second determination module, for determining the described contact person's who is complementary cohesion; Order module, for being sorted to the contact person who is complementary described in described telephone directory according to described cohesion.
Another aspect of the present invention is to provide a kind of terminal, comprises above-mentioned telephone directory collator.
Telephone directory sort method provided by the invention and device, terminal, attribute by contact person in the good friend by social networks and telephone directory is mated, obtain the contact person of attributes match, according to the contact person's of mating cohesion, the contact person is sorted, realized that the contact person to telephone directory is sorted according to cohesion, make while in telephone directory, carrying out searching contact person, can find quickly contact person corresponding to good friend according to the cohesion sequence, thereby solved in the correlation technique and searched the lower problem of social good friend's efficiency in telephone directory, improved the efficiency of searching, in addition, because the good friend's of social networks cohesion sequence has reflected contact person's contact situation in the practical communication more accurately, like this, can also realize to a certain extent that quickly look-up arrives the contact person of close relation.
The accompanying drawing explanation
The flow chart that Fig. 1 is telephone directory sequencing embodiment of the method for the present invention;
The flow chart of Fig. 2 method that to be the embodiment of the present invention sorted to terminal phone book based on social networks contact frequency;
The flow chart of the method that the cohesion that Fig. 3 is the embodiment of the present invention based on micro-letter good friend is sorted to terminal phone book;
The structural representation that Fig. 4 is telephone directory collator embodiment mono-of the present invention;
The structural representation that Fig. 5 is telephone directory collator embodiment bis-of the present invention;
The structural representation that Fig. 6 is terminal embodiment of the present invention.
Embodiment
The present embodiment provides a kind of telephone directory sequencing method, the flow chart that Fig. 1 is telephone directory sequencing embodiment of the method for the present invention, and as shown in Figure 1, the method for the present embodiment can comprise the steps that S102 is to step S108.
Step S102, obtain the good friend's of social networks attribute.
Step S104, mated the attribute of contact person in the good friend's of social networks attribute and telephone directory, the contact person that in the good friend's of definite social networks attribute and telephone directory, contact person's attribute is complementary in the contact person of telephone directory.
Step S106, definite contact person's who is complementary cohesion.
Step S108, sorted to the contact person who is complementary in telephone directory according to cohesion.
Pass through above-mentioned steps, attribute by contact person in the good friend by social networks and telephone directory is mated, obtain the contact person of attributes match, according to the contact person's of mating cohesion, the contact person is sorted, realized that the contact person to telephone directory is sorted according to cohesion, make while in telephone directory, carrying out social Fellow searching, can find quickly contact person corresponding to good friend according to the cohesion sequence, thereby solved in the correlation technique and searched the lower problem of social good friend's efficiency in telephone directory, improved the efficiency of searching, in addition, because the good friend's of social networks cohesion sequence has reflected contact person's contact situation in the practical communication more accurately, like this, can also realize to a certain extent that quickly look-up arrives the contact person of close relation.
As an execution mode preferably, step S104 can realize in the following way: judge social good friend's attribute and contact person's attribute and have at least one to be identical, determine that the corresponding contact of same alike result people is the contact person who is complementary.In reality is implemented, in order to raise the efficiency, attribute all can be compared, also can select one in attribute to compare.For example, social good friend's name is Lee three, telephone number is 111, in telephone directory, contact person's name is Lee three, and telephone number is also 111, in the process of determining the contact person who is complementary, can work as that to judge the contact person that name is Lee three be exactly the contact person who is complementary, perhaps further judge whether both corresponding telephone numbers (or other attributes) are identical, if identical, are defined as the contact person who is complementary.
When implementing, determine that the contact person's who is complementary cohesion can be determined in several ways, below by two kinds of execution modes, illustrate.
Mode one: weights one of at least below determining: corresponding the second weights of preset characters in the first weights corresponding to the contact person's who is complementary cohesion place grouping in social networks, the contact person's that is complementary communications records, the contact frequency of contact person in the Preset Time section and the 3rd weights of the more resulting result of preset times that are complementary; Determine the operation result that cohesion is the first weights, the second weights and/or the 3rd weights.
For example: the good friend is grouped into household, friend, colleague, classmate, and the first weights that its correspondence is set are respectively: 1.2,1.15,1.05,1.1; Preset characters in good friend's communications records is: " father ", " mother ", and it is 1.1 that the second weights are set, " thanks ", it is 1.0 that the second weights are set; Contact frequency and the predetermined threshold value more resulting result of good friend in the Preset Time section is good friend commonly used, stranger, the 3rd weights is set and is respectively 1.0,0.8.Determine that cohesion can be the product of the first weights, the second weights and the 3rd weights.It should be noted that, needs that can be actual, adopt different compute modes.
Mode two: obtain contact person's weights corresponding to difference in a plurality of social networks that are complementary; Determine the operation result that cohesion is the weights of correspondence in a plurality of social networks.
For example: the good friend in micro-letter, microblogging, credulity respectively corresponding weights be 1.3,1.2,1.1, can determine that this cohesion is 1.3+1.2+1.1.
It should be noted that, cohesion refers to the parameter that characterizes contact frequency between the good friend, reflects the robust degree contacted between two good friends.When implementing, can adopt various ways to determine that cohesion, above-mentioned preferred implementation are only for the example explanation, and be not used in the scope that limits the application.
Preferably, in the step of determining cohesion, can determine cohesion to the good friend of coupling, also can all determine the cohesion operation to whole good friends.In order to raise the efficiency, can select the good friend of coupling is determined the operation of cohesion.
When implementing, can adopt various ways to obtain good friend's attribute, for example following two kinds of modes:
Mode one, the login social networks; Obtain the attribute of good friend in social networks.
In mode one, can after the login social networks, obtain good friend's attribute, for example: after the micro-letter of login, can obtain micro-letter good friend's head portrait, the name externally presented that this good friend fills in while registering, for example, to the remarks (Real Name of the pet name, or this good friend) of good friend's name etc.; Perhaps, after the login mailbox, can obtain good friend's mailbox, communicating number, name (for example to good friend remarks name).
Mode two, obtain good friend's the attribute of the social networks of local storage.
In mode two, after social networks can be logined, the good friend's of social networks attribute is kept to this locality, for example, after the login mailbox, the good friend's of mailbox (contact person) information is derived and is kept at this locality, then from the information of having preserved, obtain good friend's attribute.
As another execution mode preferably, after sequence, can also show definite contact person in the telephone directory after sequence.For example definite contact person in the telephone directory after sequence is carried out to the top set demonstration.This preferred implementation can present the contact person after sequence more intuitively, improves the convenience of searching the contact person.
When implementing, attribute can comprise: name, head portrait, mailbox and communicating number.
It should be noted that, for aforesaid each embodiment of the method, for simple description, therefore it all is expressed as to a series of combination of actions, but those skilled in the art should know, the present invention is not subject to the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in specification all belongs to preferred embodiment, and related action and module might not be that the present invention is necessary.
In addition, above-mentioned multiple preferred implementation, can be in conjunction with using.For example: at the attribute of judging described social good friend according to above-mentioned preferred implementation institute example and described contact person's attribute, have at least one to be identical, determine that the corresponding contact of same alike result people is after the contact person who is complementary, can use mode one or the mode two of determining cohesion to determine cohesion.Then, after the contact person who is complementary in to telephone directory according to cohesion is sorted, can show the contact person's (this step is the step of optional execution) who is complementary in the described telephone directory after sequence.The description of above-mentioned steps is only that above-mentioned concrete execution mode is not as a limitation of the invention in order to illustrate the use that can mutually combine of preferred implementation in the present invention.
Be described and illustrate below in conjunction with preferred embodiment.
This preferred embodiment provides a kind of method based on social networks contact frequency sequence terminal phone book, the flow chart of Fig. 2 method that to be the embodiment of the present invention sorted to terminal phone book based on social networks contact frequency, as shown in Figure 2, the method comprises the steps that S200 is to step S208.
Step S200, obtain the good friend's of social networks attribute.
Step S202, set up the matching relationship between social networks good friend and phone book contact.
In this step, the cohesion by telephone directory according to the social networks good friend is sorted, the Corresponding matching relation between model social networks good friend and phone book contact.Set up this Corresponding matching relation, can be according to thering is common attribute between the two, as name, head portrait etc.
It should be noted that, according to statistics, domestic main SNS website user's the whole Real Name rate of filling in is 53.8%, and the authenticity of head portrait has reached 91.3%.Therefore on the basis of using name, head portrait again in conjunction with other information as phone etc. as both foundations of coupling, there is certain feasibility.
Preferably, mobile terminal is according to the information of social networks good friend and phone book contact, the information such as head portrait more between the two, name, phone successively has one at least when identical in these information, can determine the matching relationship between social networks good friend and phone book contact.
Step S204, determine social networks good friend's cohesion.
Preferably, in this step, social networks good friend's cohesion refers to user and good friend's intimate degree.Here whether be user good friend commonly used, and be weighted in conjunction with the intimate keyword in good friend's grouping information and good friend's communication record according to the good friend, determine user and good friend's intimate degree.
Judge that whether the good friend is user good friend commonly used, mainly judges according to the frequency that contacts of user and good friend in certain period.General social network sites has special record, records various mutual between the good friend, can be used as and judge whether the good friend is the foundation that the user commonly uses the good friend.Simultaneously, mobile terminal self also remains with by this terminal login social networks and good friend and carries out mutual record, also can be used as and judges whether the good friend is user good friend's commonly used supplementary foundation.
Below describe for example:
To thering is the good friend of grouping information, should increase the grouping weights, its weights of different grouping also are not quite similar.Such as the weights of " my good friend " grouping are larger than the weights of " my colleague " grouping, " my good friend " will come " my colleague " grouping front.
The content of user and good friend's communication record is also to good friend's cohesion important.In general, for relatives, as father, mother etc. have special appellation as " father ", " mother " etc.In communication record, there is the good friend of intimate keyword also should come the good friend's who there is no intimate keyword front.
Good friend's cohesion=whether be good friend commonly used+grouping weights+intimate keyword weights
In addition, when the user has a plurality of social networks account number, the good friend of all social networks is carried out to the cohesion processing in the same way.
When implementing, in order to reduce the operating pressure of terminal, can only to having with terminal phone book, there is the social networks good friend of matching relationship to carry out the cohesion processing.
Step S206, the social networks good friend is by the cohesion sequence.
In this step, on the basis of determining each social networks good friend cohesion, mobile terminal is sorted to the good friend according to cohesion.
It should be noted that, when implementing, can adopt multiple sortord in correlation technique to realize according to cohesion, the good friend being sorted, than preferably, can efficiency of selection high, take the algorithm that resource is few.Simultaneously, in order to reduce the operating pressure of terminal, can only to having with terminal phone book, there is the social networks good friend of matching relationship to be sorted.
Step S208, show by the telephone directory after corresponding social networks good friend cohesion sequence.
In this step, when the user calls terminal phone book and carries out sorting by social networks or regularly, terminal phone book can carry out the top set demonstration according to corresponding sorted social networks good friend's order.
It is a kind of based on micro-letter good friend cohesion sequence terminal phone book method that this preferred embodiment provides, and in this preferred embodiment, supposes on the mobile terminal Samsung S49500 in user A hand to store " Zhang San ", " Li Si " and " king five " three contact persons; User A is often used micro-letter and good friend's contact, and " Zhang San ", " wind and cloud " and " rainy day " three good friends are arranged in micro-letter, and " Zhang San " in " household " divides into groups, " wind and cloud " in " classmate " divides into groups.In this preferred embodiment, use the present invention to sort to the contact person in the S49500 telephone directory.The flow chart of the method that the cohesion that Fig. 3 is the embodiment of the present invention based on micro-letter good friend is sorted to terminal phone book, as shown in Figure 3, the method comprises the steps that S302 is to step S310.
Step S302, login micro-letter, obtains user's friend information.
For example: S49500 regularly or user when calling book applications and selecting sort by social networks, logins micro-telecommunications services device by wireless network with the account number of user A, obtains the friend information of user A, and is kept at S49500 and goes up standby.
Preferably, the wireless network in this step can be the 3G mobile network, can be also Wireless Fidelity (Wi-Fi) network.It should be noted that, the 3G mobile network in the present embodiment and Wi-Fi network are only to carry out the example explanation.In enforcement, also can for example, by other network in correlation technique (: 2G mobile network) login social networks.
In this preferred embodiment, micro-letter account number of user A and encrypted message can manually be inputted and obtain by the user; Also can be when the micro-letter of user's routine use, terminal is collected record on backstage.
The friend information obtained can comprise that the good friend fills in the information (presenting to other users' visual information) such as the name of external disclosure, head portrait, phone, address, birthday when micro-letter registration; Preferably, the friend information obtained can also comprise user A and the relationship record of good friend in certain setting-up time section to ratio.
When implementing, in order to improve the efficiency of processing, mobile terminal S49500 can presetting database preserve the friend information obtained from micro-telecommunications services device.
As an execution mode preferably, when user A has a plurality of micro-letter account numbers or also has other social networks account numbers, S49500 logins respectively and obtains corresponding friend information.If a plurality of account numbers or social networks have identical good friend (when the information more than at least two is identical), identical good friend's information can be merged.
It should be noted that, above-mentioned login, inquire about, obtain good friend and information process at terminal (mobile terminal) running background, needn't show in user interface.
Step S304, set up the matching relationship of micro-letter good friend and phone book contact.
In this step, set up micro-letter good friend and refer to the attribute information identical with phone book contact according to micro-letter good friend with the matching relationship of phone book contact, as name, head portrait, phone etc., contrasted item by item, if while having at least a content identical, think that this micro-letter good friend and corresponding phone book contact have matching relationship.If be not complementary between the two concern the time, can be by this micro-letter good friend's of storing in database information deletion.
In this preferred embodiment, suppose that " Zhang San " has identical name in micro-letter and telephone directory, thereby set up matching relationship; " wind and cloud " and " Li Si " has identical head portrait, also sets up matching relationship; " rainy day " and " king five " has identical telephone number, also sets up matching relationship.
Step S306, determine micro-letter good friend's cohesion.
In this preferred embodiment, mobile terminal S49500, according to the information of obtaining from micro-telecommunications services device, calculates interior user A of certain period and each good friend's the frequency that contacts, and then by the threshold value with default relatively, judges whether the good friend is the good friend commonly used of user A.If the good friend also has grouping information, should give the weights that different grouping is different.If default intimate keyword is arranged in user and good friend's communication record, should give corresponding weights according to the number of intimate keyword.Therefore, micro-letter good friend's cohesion=good friend commonly used * grouping weights * intimate keyword weights.
In this preferred embodiment, in user A mono-month, with good friend's the frequency that contacts, to judge whether it is good friend commonly used.Suppose to preset a threshold value 30 times/month, if user A and certain good friend number of times that contacts in month surpasses 30 times, think that it is the good friend commonly used of user A, calculate good friend's score value commonly used according to contact number of times/maximum contact number of times simultaneously.
The moon contact number of times of supposing " Zhang San ", " wind and cloud " and " rainy day " three good friends all surpasses 30 times, and it is all the good friend commonly used of user A.The moon contact number of times of hypothesis " Zhang San " mostly is 100 times most simultaneously, and " wind and cloud " is minimum is 36 times, and " rainy day " contact number of times is 45 times, and good friend's score value commonly used of each good friend is: " Zhang San "=100/100=1; " wind and cloud "=36/100=0.36; " rainy day "=45/100=0.45.
In this preferred embodiment, good friend " Zhang San ", " wind and cloud " have grouping information, can consider its grouping weights.Supposing that the weights without the grouping information good friend are 1, is 1.1 by grouping with the weights of intimate degree set " friend " grouping of user A, and " classmate " is grouped into 1.2, and " household " is grouped into 1.23.The cohesion of considering each good friend after grouping information is: " Zhang San "=good friend's score value commonly used * grouping weights=1 * 1.3=1.3; In like manner, the cohesion of " wind and cloud " is: 0.36 * 1.2=0.432; " rainy day " do not have grouping information, and its cohesion is: 0.45 * 1=0.45.
In this preferred implementation, in user A and " Zhang San's " communication record, intimate keyword " eldest brother " is arranged.If the weights without intimate keyword are assumed to be 1 simultaneously, the weights that keyword is arranged are 1.1, and the cohesion of " Zhang San " is: " Zhang San " 1.3 * 1.1=1.43, and all the other two people's cohesion does not become: " wind and cloud " is 0.432, " rainy day " is 0.45.
Step S308, by the sequence of good friend's cohesion.
In this step, on the basis that calculates each micro-letter good friend cohesion, by order from big to small, the good friend is sorted.
Preferably, the selection of sort algorithm can variation, but, according to the disposal ability of mobile terminal CPU, can select the algorithm that some efficiency are high.
In this example, adopt Mao bubble algorithm commonly used to be sorted from big to small by cohesion to " Zhang San ", " wind and cloud " and " rainy day " three good friends: " Zhang San " (1.43), " rainy day " (0.45), " wind and cloud " (0.432).
Step S310, telephone directory sequentially shows with micro-letter good friend's cohesion.
In this step, the order after the corresponding micro-letter good friend of the contact person in the telephone directory of mobile terminal S49500 sequence is carried out the top set demonstration.Do not have the phone book contact of micro-letter good friend matching relationship to show by original order subsequently by former order.
In this preferred embodiment, the contact person of S49500 telephone directory " Zhang San ", " Li Si " and " king five ", by the order after the cohesion sequence of the micro-letter good friend " Zhang San " who is complementary with it, " wind and cloud " and " rainy day ", shown, i.e. " Zhang San ", " king five " and " Li Si ".
This preferred embodiment provides a kind of method based on social networks contact frequency sequence terminal phone book, and the method comprises the steps S402 and step S406.
Step S402, set up the matching relationship between social networks good friend and terminal phone book contact person according to information such as name, head portrait, phones.
Step S404, determine social networks good friend's cohesion by contact frequency, grouping weights and intimate keyword; According to cohesion, the social networks good friend is sorted.
Step S406, the order after the terminal phone book contact person sorts by corresponding social networks good friend shows.
Inventive concept based on identical, corresponding to said method embodiment, the present embodiment also provides a kind of telephone directory sequencing device, for realizing above-mentioned telephone directory sequencing method.The module related in this device and the function of unit can be corresponding in conjunction with above-mentioned telephone directory sequencing method function realize carrying out combination and describe and illustrate, will repeat no more in the present embodiment.
The structural representation that Fig. 4 is telephone directory collator the first embodiment of the present invention, as shown in Figure 4, this device can comprise: acquisition module 40, the first determination module 42, the second determination module 44, order module 46, wherein, acquisition module 40, for the good friend's that obtains social networks attribute; The first determination module 42, attribute for the good friend of social networks that acquisition module 40 is obtained is mated with telephone directory contact person's attribute, and the contact person that in the good friend's of definite social networks attribute and telephone directory, contact person's attribute is complementary in the contact person of telephone directory; The second determination module 44, be connected to the first determination module 42, for determining the contact person's who is complementary that the first determination module 42 is determined cohesion; Order module 46, be connected to the second determination module 44 and the first determination module 42, and the contact person who the determined telephone directory of the first determination module 42 is complementary for the cohesion definite according to the second determination module 44 is sorted.
The structural representation that Fig. 5 is telephone directory collator embodiment bis-of the present invention, as shown in Figure 5, the device of the present embodiment is on the basis of Fig. 2 shown device structure, and preferably, acquisition module 40 can comprise: login unit 402, second acquisition unit 404; Or the 3rd acquiring unit 406; Preferably, the first determination module 42 can comprise: judging unit 422 and the first determining unit 424; Preferably, the second determination module 44 can comprise: the second determining unit 442 and the 3rd determining unit 444; Or the first acquiring unit 446 and the 4th determining unit 448, below be described in detail said structure.
Preferably, acquisition module 40 can comprise: login unit 402, second acquisition unit 404, or the 3rd acquiring unit 406, and wherein, login unit 202, for logining social networks; Second acquisition unit 204, be connected to login unit 202, obtains good friend's attribute for the social networks of logining in login unit 202; Or second acquisition unit 206, for the good friend's of the social networks that obtains local storage attribute.
Preferably, the first determination module 42 can comprise: judging unit 422 and the first determining unit 424, and wherein, judging unit 422, have at least one to be identical for the attribute of judging social good friend and contact person's attribute; The first determining unit 424, be connected to judging unit 422, for determining that the corresponding contact of the same alike result people that judging unit 242 is judged is the contact person who is complementary.
Preferably, the second determination module 44 can comprise: the second determining unit 442, for weights one of at least below determining: corresponding the second weights of preset characters, contact frequency and predetermined threshold value more resulting result corresponding three weights of good friend in the Preset Time section of the first weights corresponding to good friend place grouping, good friend's communications records; The 3rd determining unit 444, for the operation result of determining that cohesion is these first weights, the second weights and/or the 3rd weights; Or,
The first acquiring unit 446, for obtaining this good friend at weights corresponding to a plurality of social networks difference; The 4th determining unit 448, for determining the operation result of the weights that this cohesion is the plurality of social networks correspondence.
As an execution mode preferably, attribute can comprise: name, head portrait, mailbox and communicating number.It should be noted that, the content that above-mentioned attribute comprises is only in order to illustrate, when reality is implemented, so long as can characterize the contact person's of the good friend of this social networks and telephone directory information, all can be used as attribute.
The telephone directory collator of the present embodiment, can be for carrying out the technical scheme of the telephone directory sequencing method that any embodiment of the present invention provides, its realize principle and technique effect similar, repeat no more herein.
The structural representation that Fig. 6 is terminal embodiment of the present invention, as shown in Figure 6, the terminal of the present embodiment comprises: telephone directory sequencing device 0, wherein, the telephone directory sequencing device can adopt the structure of arbitrary device embodiment in Fig. 4~Fig. 5, and it can carry out the technical scheme of said method embodiment accordingly, its realize principle and technique effect similar, repeat no more herein.
Module, unit involved in above-described embodiment can be realized by the mode of software, also can realize by the mode of hardware.For example, module, unit described in above-described embodiment also can be arranged in processor, and again for example, can be described as: a kind of processor comprises acquisition module 40, matching module 42, the first determination module 44, the second determination module 46, order module 48.Wherein, the title of these modules does not form the restriction to this module itself in some cases, and for example, acquisition module can also be described to " for the module of the good friend's that obtains social networks attribute ".
It should be noted that, in correlation technique, in order to facilitate the user, find rapidly a certain specific contact person, people are by coming to select possible contact person for the user to telephone directory sequencing.For example the lexicographic order by name of contact person sorts, or sort according to the contact frequency.But the existing scheme sorted according to the contact frequency is generally that phone, note or phone according to the user and the contact frequency of note are determined.Rise along with social networks, people especially the use social networks of young man much more next as at ordinary times the contact main tool, in this case, re-use formerly call, the contact frequency of the combination of note or phone and note is as the foundation of sequence terminal phone book, can not reflect in fact for another example user's contact situation at ordinary times.
Above-described embodiment, preferred embodiment and preferred implementation by the application, by the contact person by good friend in social networks and telephone directory, mated, according to cohesion, the contact person in telephone directory is sorted and solved in the correlation technique problem that contact person's efficiency is lower of searching in telephone directory, realize the social good friend in quick location, thereby improved the efficiency of searching social good friend.
One of ordinary skill in the art will appreciate that: realize that the hardware that all or part of step of above-mentioned each embodiment of the method can be relevant by program command completes.Aforesaid program can be stored in a computer read/write memory medium.This program, when carrying out, is carried out the step that comprises above-mentioned each embodiment of the method; And aforesaid storage medium comprises: various media that can be program code stored such as ROM, RAM, magnetic disc or CDs.
Finally it should be noted that: above each embodiment, only in order to technical scheme of the present invention to be described, is not intended to limit; Although with reference to aforementioned each embodiment, the present invention is had been described in detail, those of ordinary skill in the art is to be understood that: its technical scheme that still can put down in writing aforementioned each embodiment is modified, or some or all of technical characterictic wherein is equal to replacement; And these modifications or replacement do not make the essence of appropriate technical solution break away from the scope of various embodiments of the present invention technical scheme.

Claims (10)

1. a telephone directory sequencing method, is characterized in that, comprising:
Obtain the good friend's of social networks attribute;
The attribute of contact person in the good friend's of social networks attribute and telephone directory is mated to the contact person that in the good friend's of definite described social networks attribute and described telephone directory, contact person's attribute is complementary in the contact person of described telephone directory;
Determine the described contact person's who is complementary cohesion;
According to described cohesion, the contact person who is complementary described in described telephone directory is sorted.
2. method according to claim 1, is characterized in that, the contact person that in the good friend's of definite described social networks attribute and described telephone directory, contact person's attribute is complementary in the contact person of described telephone directory comprises:
Judge described social good friend's attribute and described contact person's attribute and have at least one to be identical, determine the artificial described contact person who is complementary of the corresponding contact of same alike result.
3. method according to claim 1, is characterized in that, determines that the described contact person's who is complementary cohesion comprises:
Weights one of at least below determining: corresponding the second weights of preset characters, contact number of times and predetermined threshold value more resulting result corresponding three weights of the described contact person who is complementary in the Preset Time section in the first weights corresponding to the described contact person who is complementary place grouping in described social networks, the described contact person's who is complementary communications records; Determine the operation result that described cohesion is described the first weights, described the second weights and/or described the 3rd weights; Or,
Obtain the described contact person who is complementary weights corresponding to difference in a plurality of described social networks; Determine the operation result that described cohesion is the weights of correspondence in described a plurality of social networks.
4. method according to claim 1, is characterized in that, the attribute that obtains the good friend of social networks comprises:
Login described social networks; The good friend's who obtains at described social networks attribute; Or,
Obtain the good friend's of the local described social networks of storing attribute.
5. according to the described method of any one in claim 1 to 4, it is characterized in that,
Described attribute comprises: name, head portrait, mailbox and communicating number.
6. a telephone directory sequencing device, is characterized in that, comprising:
Acquisition module, for the good friend's that obtains social networks attribute;
The first determination module, for the good friend's of social networks attribute and telephone directory contact person's attribute is mated, and the contact person that in the good friend's of definite described social networks attribute and described telephone directory, contact person's attribute is complementary in the contact person of described telephone directory;
The second determination module, for determining the described contact person's who is complementary cohesion;
Order module, for being sorted to the contact person who is complementary described in described telephone directory according to described cohesion.
7. device according to claim 6, is characterized in that, described the first determination module comprises:
Judging unit, have at least one to be identical for the attribute of judging described social good friend and described contact person's attribute;
The first determining unit, for determining the artificial described contact person who is complementary of the corresponding contact of same alike result.
8. device according to claim 6, is characterized in that, described the second determination module comprises:
The second determining unit, for weights one of at least below determining: corresponding the second weights of preset characters, contact number of times and predetermined threshold value more resulting result corresponding three weights of the described contact person who is complementary in the Preset Time section in the described contact person who is complementary the first weights corresponding at described social networks, the described contact person's who is complementary communications records; The 3rd determining unit, for the operation result of determining that described cohesion is described the first weights, described the second weights and/or described the 3rd weights; Or,
The first acquiring unit, for obtaining the described contact person who is complementary at weights corresponding to a plurality of described social networks difference; The 4th determining unit, for determining the operation result of the weights that described cohesion is described a plurality of social networks correspondences.
9. device according to claim 6, is characterized in that, described acquisition module comprises:
The login unit, for logining described social networks; Second acquisition unit, for obtaining the first attribute information good friend described in described social networks; Or,
The 3rd acquiring unit, for the good friend's of the described social networks that obtains local storage attribute.
10. a terminal, is characterized in that, comprises the described telephone directory collator of any one in claim 6 to 9.
CN201310450274.6A 2013-09-27 2013-09-27 Telephone directory sequencing method and device, terminal Active CN103501374B (en)

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