CN103501374B - Telephone directory sequencing method and device, terminal - Google Patents
Telephone directory sequencing method and device, terminal Download PDFInfo
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- CN103501374B CN103501374B CN201310450274.6A CN201310450274A CN103501374B CN 103501374 B CN103501374 B CN 103501374B CN 201310450274 A CN201310450274 A CN 201310450274A CN 103501374 B CN103501374 B CN 103501374B
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Abstract
The invention provides a kind of telephone directory sequencing method and device, terminal.Telephone directory sequencing method of the present invention comprises: the attribute obtaining the good friend of social networks; The attribute of the good friend of social networks is mated with the attribute of contact person in telephone directory, in the contact person of telephone directory, determines the contact person that the attribute of contact person in the attribute of the good friend of social networks and telephone directory matches; Determine the cohesion of the contact person matched; According to cohesion, the contact person matched in telephone directory is sorted.The invention solves in correlation technique when searching social good friend in the phonebook, the problem that efficiency comparison is low, improves the efficiency of searching.
Description
Technical field
The present invention relates to the communication technology, particularly relate 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 and to have lived indispensable electronic product.Mobile terminal, when 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 mobile terminal telephone directory comprises gets more and more, contact person inconvenience very to be searched from an even hundreds of contact person up to a hundred.Conveniently user promptly finds a certain specific contact person, can select possible contact person by supplying telephone directory sequencing user.Sort method in correlation technique is sorted by the lexicographic order of name of contact person, also has to contact frequency to sort according to the call or short message with contact person.
Along with the fast development of mobile Internet and the rapid rise of social networks, use social networks as mobile phone QQ, micro-letter etc. by mobile terminal, contact relatives and friends have become people, the liaison method that especially young man is main at ordinary times.Wherein, social networks (SocialNetworkingServices is called for short SNS) helps people to set up the internet, applications service of social network for being intended to.Vehicles Collected from Market exists multiple social networking service provider, domestic as happy net, Renren Network, Tengxun (QQ) etc., external as face book (Facebook) etc.In addition, the userbase of social networks is very huge.Such as: according to statistics, the monthly active users of Renren Network nearly 100,000,000 of current largest domestic SNS website; In the Internet user of domestic 5.6 hundred million, the user more than 50% is in use SNS website; 21-25 year this age group be the main force of SNS website user, account for overall four one-tenths above (42.7%), the user of less than 30 years old accounts for SNS website user's more than 90%.SNS social networks has replaced the liaison methods such as traditional note, call to a certain extent, becomes main communication way.
Search the low problem of social good friend's efficiency comparison for telephone directory sequencing method in correlation technique, not yet propose effective solution at present.
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 obtaining the good friend of social networks; The attribute of the good friend of social networks is mated with the attribute of contact person in telephone directory, in the contact person of described telephone directory, determines the contact person that the attribute of contact person in the attribute of the good friend of described social networks and described telephone directory matches; The cohesion of the contact person matched described in determining; According to described cohesion, the contact person matched 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 obtaining the attribute of the good friend of social networks; First determination module, attribute for the good friend by social networks mates with the attribute of contact person in telephone directory, and in the contact person of described telephone directory, determine the contact person that the attribute of contact person in the attribute of the good friend of described social networks and described telephone directory matches; Second determination module, for the cohesion of contact person matched described in determining; Order module, for sorting to the contact person matched 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, by the attribute of contact person in the good friend of social networks and telephone directory is mated, obtain the contact person of attributes match, cohesion according to the contact person of coupling sorts to contact person, achieve and sort according to the contact person of cohesion to telephone directory, when making to carry out searching contact person in the phonebook, can find according to contact person corresponding to the good friend of cohesion sequence quickly, thus solve in correlation technique and search the low problem of social good friend's efficiency comparison in the phonebook, improve the efficiency of searching, in addition, cohesion sequence due to the good friend of social networks reflects the contact situation of contact person in practical communication more accurately, like this, the contact person of quickly look-up to close relation can also be realized to a certain extent.
Accompanying drawing explanation
Fig. 1 is the flow chart of telephone directory sequencing embodiment of the method for the present invention;
Fig. 2 is that the embodiment of the present invention contacts frequency to the flow chart of the method that terminal phone book sorts based on social networks;
Fig. 3 is that the cohesion of the embodiment of the present invention based on micro-letter good friend is to the flow chart of the method that terminal phone book sorts;
Fig. 4 is the structural representation of telephone directory collator embodiment one of the present invention;
Fig. 5 is the structural representation of telephone directory collator embodiment two of the present invention;
Fig. 6 is the structural representation of terminal embodiment of the present invention.
Embodiment
Present embodiments provide a kind of telephone directory sequencing method, Fig. 1 is the flow chart of 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, obtains the attribute of the good friend of social networks.
Step S104, mates the attribute of the good friend of social networks with the attribute of contact person in telephone directory, determines the contact person that the attribute of contact person in the attribute of the good friend of social networks and telephone directory matches in the contact person of telephone directory.
Step S106, determines the cohesion of the contact person matched.
Step S108, sorts to the contact person matched in telephone directory according to cohesion.
Pass through above-mentioned steps, by the attribute of contact person in the good friend of social networks and telephone directory is mated, obtain the contact person of attributes match, cohesion according to the contact person of coupling sorts to contact person, achieve and sort according to the contact person of cohesion to telephone directory, when making to carry out social Fellow searching in the phonebook, can find according to contact person corresponding to the good friend of cohesion sequence quickly, thus solve in correlation technique and search the low problem of social good friend's efficiency comparison in the phonebook, improve the efficiency of searching, in addition, cohesion sequence due to the good friend of social networks reflects the contact situation of contact person in practical communication more accurately, like this, the contact person of quickly look-up to close relation can also be realized to a certain extent.
As a preferably execution mode, step S104 can realize in the following way: judge that the attribute of social good friend and the attribute of contact person have at least one to be identical, determines that the contact people corresponding to same alike result is the contact person matched.In reality is implemented, in order to raise the efficiency, attribute all can be compared, in attribute one also can be selected to compare.Such as, the name of social good friend is Lee three, telephone number is 111, in telephone directory, the name of contact person is Lee three, and telephone number is also 111, in the process of the contact person determining to match, can work as and judge that the contact person that name is Lee three is exactly the contact person matched, or whether telephone number (or other attributes) corresponding both judging further is identical, if identical, is then defined as the contact person matched.
When implementing, determining that the cohesion of the contact person matched can be determined in several ways, illustrating below by two kinds of execution modes.
Mode one: determine following weights one of at least: the second weights corresponding to preset characters in cohesion first weights that place grouping is corresponding in social networks of the contact person matched, the communications records of contact person that match, the contact frequency of contact person in preset time period matched compare the 3rd weights of obtained result with preset times; Determine that cohesion is the operation result of the first weights, the second weights and/or the 3rd weights.
Such as: good friend is grouped into household, friend, colleague, classmate, the first weights arranging its correspondence are respectively: 1.2,1.15,1.05,1.1; Preset characters in buddy communication record is: " father ", " mother ", and arranging the second weights is 1.1, " thanks ", and arranging the second weights is 1.0; The contact frequency of good friend in preset time period compares obtained result for conventional good friend, stranger with predetermined threshold value, arrange the 3rd weights and be 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 the contact person's weights that difference is corresponding in multiple social networks matched; Determine that cohesion is the operation result of weights corresponding in multiple social networks.
Such as: the weights corresponding respectively in micro-letter, microblogging, credulity of good friend are 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 characterizing and contact frequency between good friend, reflects the robust degree contacted between two good friends.When implementing, various ways can be adopted to determine cohesion, above-mentioned preferred implementation is only used to example and illustrates, and is not used in the scope limiting the application.
Preferably, in the step determining cohesion, cohesion can be determined to the good friend of coupling, also can all determine that cohesion operates to whole good friends.In order to raise the efficiency, the operation good friend of coupling being determined to cohesion can be selected.
When implementing, various ways can be adopted to obtain the attribute of good friend, such as the following two kinds mode:
Mode one, logs in social networks; Obtain the attribute of good friend in social networks.
In mode one, after login social networks, the attribute of good friend can be obtained, such as: after the micro-letter of login, the head portrait of micro-letter good friend, the name externally presented that this good friend fills in when registering, remarks (the such as pet name, or the Real Name of this good friend) etc. to the name of good friend can be obtained; Or, after login mailbox, the mailbox of good friend, communicating number, name (such as to the remarks name of good friend) can be obtained.
Mode two, obtains the attribute of the good friend of the local social networks stored.
In mode two, after social networks can be logged in, the attribute of the good friend of social networks is kept at this locality, such as, after login mailbox, the information of the good friend (contact person) of mailbox is derived and is kept at this locality, from the information of having preserved, then obtain the attribute of good friend.
As another preferably execution mode, after sequence, the contact person determined in the telephone directory after sequence can also be shown.Such as the contact person determined in the telephone directory after sequence is carried out top set display.This preferred implementation can present the contact person after sequence more intuitively, improves the convenience of searching 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, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not by 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 involved action and module might not be that the present invention is necessary.
In addition, above-mentioned multiple preferred implementation, can in conjunction with using.Such as: judging that the attribute of described social good friend and the attribute of described contact person have at least one to be identical according to above-mentioned preferred implementation institute example, the contact people determining corresponding to same alike result can use and determine that the mode one of cohesion or mode two determine cohesion after being the contact person matched.Then, according to cohesion to telephone directory in after the contact person that matches sorts, the contact person's (this step is the step of optional execution) matched in the described telephone directory after sequence can be shown.The description of above-mentioned steps is only used to illustrate that the preferred implementation in the present invention can be combined with each other, and above-mentioned concrete execution mode is not as a limitation of the invention.
Be described below in conjunction with preferred embodiment and illustrate.
This preferred embodiment provides a kind of method based on social networks contact frequency sequence terminal phone book, Fig. 2 is that the embodiment of the present invention contacts frequency to the flow chart of the method that terminal phone book sorts based on social networks, as shown in Figure 2, the method comprises the steps that S200 is to step S208.
Step S200, obtains the attribute of the good friend of social networks.
Step S202, sets up the matching relationship in social networks good friend and the phonebook con-tacts human world.
In this step, the cohesion of telephone directory according to social networks good friend is sorted, first set up the Corresponding matching relation between social networks good friend and phone book contact.Set up this Corresponding matching relation, can according to having common attribute between the two, as name, head portrait etc.
It should be noted that, according to statistics, the integrated facticity name rate of filling in of domestic main SNS website user is 53.8%, and the authenticity of head portrait reaches 91.3%.Therefore on the basis using name, head portrait again in conjunction with other information if phone etc. is as the foundation both mating, 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, name, phone more between the two successively, when have at least in these information one identical time, then can determine the matching relationship in social networks good friend and the phonebook con-tacts human world.
Step S204, determines the cohesion of social networks good friend.
Preferably, in this step, the cohesion of social networks good friend refers to the intimate degree of user and good friend.Here whether be that user commonly uses good friend according to good friend, and be weighted in conjunction with the intimate keyword in good friend's grouping information and good friend's communication record, determine the intimate degree of user and good friend.
Judge whether good friend is that user commonly uses good friend, contact frequency to judge mainly according to user in certain period and good friend.General social network sites has special record, and that records between good friend is alternately various, can be used as and judges whether good friend is the foundation that user commonly uses good friend.Meanwhile, mobile terminal self also remains with and carries out mutual record by this terminal login social networks and good friend, also can be used as and judges whether good friend is the supplementary foundation that user commonly uses good friend.
Citing is below described:
To the good friend with grouping information, should increase grouping weights, its weights of different grouping are also not quite similar.Such as the weights that the weights ratio " my colleague " that " my good friend " divides into groups divides into groups are large, " my good friend " will come before " my colleague " grouping.
The content of user and good friend's communication record is also to the cohesion important of good friend.In general, for relatives, as father, mother etc. have special appellation as " father ", " mother " etc.Before the good friend having the good friend of intimate keyword also should come in communication record not have intimate keyword.
Good friend's cohesion=whether be conventional good friend+grouping weights+intimate keyword weights
In addition, when user has multiple social networks account number, the good friend of all social networks is carried out cohesion process in the same way.
When implementing, in order to reduce the operating pressure of terminal, can only to there being the social networks good friend having matching relationship with terminal phone book to carry out cohesion process.
Step S206, social networks good friend is by cohesion sequence.
In this step, on the basis determining each social networks good friend cohesion, mobile terminal sorts to good friend according to cohesion.
It should be noted that, when implementing, multiple sortord in correlation technique can be adopted to realize sorting to good friend according to cohesion, than preferably, can efficiency of selection high, take the few algorithm of resource.Meanwhile, in order to reduce the operating pressure of terminal, can only to there being the social networks good friend having matching relationship with terminal phone book to sort.
Step S208, display is by the telephone directory after corresponding social networks good friend cohesion sequence.
In this step, when user calls when terminal phone book carries out sorting by social networks or timing, terminal phone book can carry out top set display according to the order of corresponding sorted social networks good friend.
This preferred embodiment provides a kind of based on micro-letter good friend cohesion sequence terminal phone book method, in the preferred embodiment, supposes the mobile terminal Samsung S49500 in user A hand to store " Zhang San ", " Li Si " and " king five " three contact persons; User A often uses micro-letter and good friend to get in touch with, and has " Zhang San ", " wind and cloud " and " rainy day " three good friends in micro-letter, and " Zhang San " " household " grouping in, " wind and cloud " " classmate " grouping in.In this preferred embodiment, use the present invention to the contact person's sequence in S49500 telephone directory.Fig. 3 is based on micro-, the embodiment of the present invention believes that the cohesion of good friend is to the flow chart of the method that terminal phone book sorts, and as shown in Figure 3, the method comprises the steps that S302 is to step S310.
Step S302, logs in micro-letter, obtains user's friend information.
Such as: S49500 timing or user call book applications and select when sort by social networks, log in micro-telecommunications services device by wireless network with the account number of user A, the friend information of acquisition user A, and be kept on S49500 for subsequent use.
Preferably, the wireless network in this step can be 3G mobile network, also can be Wireless Fidelity (Wi-Fi) network.It should be noted that, the 3G mobile network in the present embodiment and Wi-Fi network are only carry out example explanation.In enforcement, also can log in social networks by other network in correlation technique (such as: 2G mobile network).
In the preferred embodiment, micro-letter account number of user A and encrypted message manually can be inputted by user and obtain; Also can when the micro-letter of user's routine use, terminal collects record on backstage.
The friend information obtained can comprise good friend the fills in external disclosure information (presenting to the visual information of other users) such as name, head portrait, phone, address, birthday when micro-letter registration; Preferably, the friend information of acquisition 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 process, mobile terminal S49500 presetting database can preserve the friend information obtained from micro-telecommunications services device.
As a preferably execution mode, when user A has multiple micro-letter account number or also have other social networks account numbers, S49500 logs in respectively and obtains corresponding friend information.If multiple account number or social networks have identical good friend's (when the information of more than at least two is identical), then the information of identical good friend can be merged.
It should be noted that, the process of above-mentioned login, inquiry, acquisition good friend and information, at terminal (mobile terminal) running background, need not show in user interface.
Step S304, sets up the matching relationship of micro-letter good friend and phone book contact.
In this step, set up micro-letter good friend and the matching relationship of phone book contact to refer to and believe according to micro-the attribute information that good friend is identical with phone book contact, as name, head portrait, phone etc., contrast item by item, if when having at least a content identical, then think that this micro-letter good friend and corresponding phone book contact have matching relationship.If during the relation do not matched between the two, then this micro-information deletion believing good friend that can will store in database.
In the preferred embodiment, suppose that " Zhang San " has identical name in micro-letter and telephone directory, thus 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, determines the cohesion of micro-letter good friend.
In the preferred embodiment, mobile terminal S49500 is according to the information obtained from micro-telecommunications services device, and what calculate user A and each good friend in certain period contacts frequency, then by comparing with a default threshold value, judges that whether good friend is the conventional good friend of user A.If good friend also has grouping information, then should give different grouping different weights.If there is default intimate keyword in the communication record of user and good friend, then should give corresponding weights according to the number of intimate keyword.Therefore, the cohesion=conventional good friend × grouping weights × intimate keyword weights of micro-letter good friend.
In the preferred embodiment, with in user A mono-month with good friend contact frequency to judge whether it is conventional good friend.Suppose to preset a threshold value 30 times/month, if user A and certain good friend contacted number of times more than 30 times in one month, then think that it is the conventional good friend of user A, calculate conventional good friend's score value according to contact number of times/maximum contact number of times simultaneously.
Suppose " Zhang San ", contact number of times all more than 30 times by the moon of " wind and cloud " and " rainy day " three good friends, then it is all the conventional good friend of user A.Suppose that the moon contact number of times of " Zhang San " mostly is 100 times most, " wind and cloud " is minimum is 36 times, and " rainy day " contacts number of times is 45 times, then conventional good friend's score value of each good friend is: " Zhang San "=100/100=1 simultaneously; " wind and cloud "=36/100=0.36; " rainy day "=45/100=0.45.
In the preferred embodiment, good friend " Zhang San ", " wind and cloud " have grouping information, can consider its grouping weights.Suppose that without the weights of grouping information good friend be 1, setting by grouping and the intimate degree of user A the weights that " friend " divide into groups is 1.1, and " classmate " is grouped into 1.2, and " household " is grouped into 1.23.The cohesion of each good friend after then considering grouping information is: " Zhang San "=conventional good friend's score value × 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 " does not have grouping information, and its cohesion is: 0.45 × 1=0.45.
In the preferred embodiment, intimate keyword " eldest brother " is had in user A and the communication record of " Zhang San ".If the weights simultaneously without intimate keyword are assumed to be 1, have the weights of keyword to be 1.1, then the cohesion of " Zhang San " is: " Zhang San " 1.3 × 1.1=1.43, and the cohesion of all the other two people does not become: " wind and cloud " is 0.432, and " rainy day " is 0.45.
Step S308, sorts by good friend's cohesion.
In this step, on the basis calculating each micro-letter good friend cohesion, by order from big to small, 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 conventional Mao to steep algorithm to sort 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 is with the cohesion order display of micro-letter good friend.
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 carries out top set display.The phone book contact of micro-letter good friend matching relationship is not had to show by original order subsequently by former order.
In the preferred embodiment, the contact person " Zhang San " of S49500 telephone directory, " Li Si " and " king five ", show by the order after the cohesion sequence of micro-letter good friend " Zhang San " matched with it, " wind and cloud " and " rainy day ", 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, sets 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, by the cohesion of contact frequency, divide into groups weights and intimate keyword determination social networks good friend; According to cohesion, social networks good friend is sorted.
Step S406, terminal phone book contact person is by the order display after corresponding social networks good friend sequence.
Based on identical inventive concept, corresponding to said method embodiment, the present embodiment additionally 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 carried out combination and described and illustrate in conjunction with the functional realiey that above-mentioned telephone directory sequencing method is corresponding, will repeat no more in the present embodiment.
Fig. 4 is the structural representation of telephone directory collator first embodiment of the present invention, as shown in Figure 4, this device can comprise: acquisition module 40, first determination module 42, second determination module 44, order module 46, wherein, acquisition module 40, for obtaining the attribute of the good friend of social networks; First determination module 42, attribute for the good friend of social networks obtained by acquisition module 40 mates with the attribute of contact person in telephone directory, and in the contact person of telephone directory, determine the contact person that the attribute of contact person in the attribute of the good friend of social networks and telephone directory matches; Second determination module 44, is connected to the first determination module 42, for determining the cohesion of the contact person matched that the first determination module 42 is determined; Order module 46, is connected to the second determination module 44 and the first determination module 42, sorts to the contact person matched in the determined telephone directory of the first determination module 42 for the cohesion determined according to the second determination module 44.
Fig. 5 is the structural representation of telephone directory collator embodiment two of the present invention, and 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: log in 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, be described in detail said structure below.
Preferably, acquisition module 40 can comprise: log in unit 402, second acquisition unit 404, or the 3rd acquiring unit 406, wherein, logs in unit 202, for logging in social networks; Second acquisition unit 204, is connected to and logs in unit 202, for logging in the attribute obtaining good friend in the social networks that logs in of unit 202; Or second acquisition unit 206, for obtaining the attribute of the good friend of the local social networks stored.
Preferably, the first determination module 42 can comprise: judging unit 422 and the first determining unit 424, wherein, judging unit 422, the attribute for the attribute and contact person of judging social good friend has at least one to be identical; First determining unit 424, is connected to judging unit 422, for determining that the contact people corresponding to the same alike result that judging unit 242 is judged is the contact person matched.
Preferably, second determination module 44 can comprise: the second determining unit 442, for determining following weights one of at least: the second weights corresponding to preset characters in the communications records of the first weights corresponding to good friend place grouping, good friend, the contact frequency of good friend in preset time period compare the 3rd weights corresponding to obtained result with predetermined threshold value; 3rd determining unit 444, for determining that cohesion is the operation result of these first weights, the second weights and/or the 3rd weights; Or,
First acquiring unit 446, for obtaining this good friend weights corresponding respectively in multiple social networks; 4th determining unit 448, for determining that this cohesion is the operation result of weights corresponding in the plurality of social networks.
As a preferably execution mode, attribute can comprise: name, head portrait, mailbox and communicating number.It should be noted that, the content that above-mentioned attribute comprises is only used to illustrate, when reality is implemented, as long as the information that can characterize the good friend of this social networks and the contact person of telephone directory all can be used as attribute.
The telephone directory collator of the present embodiment, may be used for the technical scheme performing the telephone directory sequencing method that any embodiment of the present invention provides, it realizes principle and technique effect is similar, repeats no more herein.
Fig. 6 is the structural representation of terminal embodiment of the present invention, as shown in Figure 6, the terminal of the present embodiment comprises: telephone directory sequencing device 0, wherein, telephone directory sequencing device can adopt the structure of arbitrary device embodiment in Fig. 4 ~ Fig. 5, and it accordingly, can the technical scheme of embodiment to perform the above method, it realizes principle and technique effect is similar, repeats no more herein.
Module involved in above-described embodiment, unit can be realized by the mode of software, also can be realized by the mode of hardware.Such as, the module described in above-described embodiment, unit also can be arranged within a processor, again such as, can be described as: a kind of processor comprises acquisition module 40, matching module 42, first determination module 44, 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 such as, acquisition module can also be described to " for obtaining the module of the attribute of the good friend of social networks ".
It should be noted that, in the related, conveniently user finds a certain specific contact person rapidly, and people select possible contact person by supplying user to telephone directory sequencing.Such as sorted by the lexicographic order of name of contact person, or sort according to contact frequency.But existing scheme of carrying out sorting according to contact frequency is generally that the contact frequency of the phone according to user, note or phone and note is determined.Along with the rise of social networks, people especially young man more carry out to rise many use social networks as the main tool contacted at ordinary times, in this case, the contact frequency re-using the combination of original phone, note or phone and note, as the foundation of sequence terminal phone book, can not reflect user's contact situation at ordinary times for another example in fact.
By above-described embodiment of the application, preferred embodiment and preferred implementation, by the contact person in good friend in social networks and telephone directory is mated, sort to solve in correlation technique to the contact person in telephone directory according to cohesion and search the low problem of contact person's efficiency comparison in the phonebook, achieve the social good friend of quick position, thus improve the efficiency of searching social good friend.
One of ordinary skill in the art will appreciate that: all or part of step realizing above-mentioned each embodiment of the method can have been come by the hardware that program command is relevant.Aforesaid program can be stored in a computer read/write memory medium.This program, when performing, performs the step comprising above-mentioned each embodiment of the method; And aforesaid storage medium comprises: ROM, RAM, magnetic disc or CD etc. various can be program code stored medium.
Last it is noted that above each embodiment is only in order to illustrate technical scheme of the present invention, be not intended to limit; Although with reference to foregoing embodiments to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein some or all of technical characteristic; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the scope of various embodiments of the present invention technical scheme.
Claims (8)
1. a telephone directory sequencing method, is characterized in that, comprising:
Obtain the attribute of the good friend of social networks;
The attribute of the good friend of social networks is mated with the attribute of contact person in telephone directory, in the contact person of described telephone directory, determines the contact person that the attribute of contact person in the attribute of the good friend of described social networks and described telephone directory matches;
The cohesion of the contact person matched described in determining;
According to described cohesion, the contact person matched described in described telephone directory is sorted;
Wherein, determine described in the cohesion of contact person that matches comprise:
Determine following weights one of at least: described in match contact person's the first weights that place grouping is corresponding in described social networks, described in the second weights corresponding to preset characters in the communications records of contact person that match, described in the contact number of times of contact person in preset time period that match compare the 3rd weights corresponding to obtained result with predetermined threshold value; Determine that described cohesion is the operation result of described first weights, described second weights and/or described 3rd weights; Or,
The weights that the contact person matched described in acquisition is corresponding respectively in multiple described social networks; Determine that described cohesion is the operation result of weights corresponding in described multiple social networks.
2. method according to claim 1, is characterized in that, determines that the contact person that the attribute of contact person in the attribute of the good friend of described social networks and described telephone directory matches comprises in the contact person of described telephone directory:
Judge that the attribute of described social good friend and the attribute of described contact person have at least one to be identical, determine the contact person matched described in the contact artificially corresponding to same alike result.
3. method according to claim 1, is characterized in that, the attribute obtaining the good friend of social networks comprises:
Log in described social networks; Obtain the attribute the good friend of described social networks; Or,
Obtain the attribute of the good friend of the local described social networks stored.
4. according to the method in any one of claims 1 to 3, it is characterized in that,
Described attribute comprises: name, head portrait, mailbox and communicating number.
5. a telephone directory sequencing device, is characterized in that, comprising:
Acquisition module, for obtaining the attribute of the good friend of social networks;
First determination module, attribute for the good friend by social networks mates with the attribute of contact person in telephone directory, and in the contact person of described telephone directory, determine the contact person that the attribute of contact person in the attribute of the good friend of described social networks and described telephone directory matches;
Second determination module, for the cohesion of contact person matched described in determining;
Order module, for sorting to the contact person matched described in described telephone directory according to described cohesion;
Wherein, described second determination module comprises:
Second determining unit, for determining following weights one of at least: described in the first weights corresponding in described social networks of the contact person that matches, described in the second weights corresponding to preset characters in the communications records of contact person that match, described in the contact number of times of contact person in preset time period that match compare the 3rd weights corresponding to obtained result with predetermined threshold value; 3rd determining unit, for determining that described cohesion is the operation result of described first weights, described second weights and/or described 3rd weights; Or,
First acquiring unit, the weights that the contact person for matching described in obtaining is corresponding respectively in multiple described social networks; 4th determining unit, for determining that described cohesion is the operation result of weights corresponding in described multiple social networks.
6. device according to claim 5, is characterized in that, described first determination module comprises:
Judging unit, the attribute for the attribute and described contact person of judging described social good friend has at least one to be identical;
First determining unit, for determining the contact person matched described in the contact artificially corresponding to same alike result.
7. device according to claim 5, is characterized in that, described acquisition module comprises:
Log in unit, for logging in described social networks; Second acquisition unit, for obtaining first attribute information of good friend described in described social networks; Or,
3rd acquiring unit, for obtaining the attribute of the good friend of the local described social networks stored.
8. a terminal, is characterized in that, comprises the telephone directory sequencing device according to any one of claim 5 to 7.
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