CN104573076B - A kind of Chinese remark names system recommendation method of social network sites user - Google Patents
A kind of Chinese remark names system recommendation method of social network sites user Download PDFInfo
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- CN104573076B CN104573076B CN201510041142.7A CN201510041142A CN104573076B CN 104573076 B CN104573076 B CN 104573076B CN 201510041142 A CN201510041142 A CN 201510041142A CN 104573076 B CN104573076 B CN 104573076B
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Abstract
The present invention relates to a kind of Chinese remark names system recommendation method of social network sites user, applied to social network sites, for the setting of remark names between good friend, consider length factor, the constituent element of user name, and word frequency factor therein, by the way of weight calculation, it can effectively realize that system intelligent is recommended, the larger situation of user network name data volume is applicable not only to, but also can be suitably used for situation and a user network name less situation of data volume that a user possesses many different user names.
Description
Technical field
The present invention relates to a kind of Chinese remark names system recommendation method of social network sites user.
Background technology
With the development of Internet technology, the appearance of social networks has more furthered the distance of people to each other, virtual
Network world in, people are exchanging each other using user name as the identity of oneself, and existing social network sites are varied,
Because the situation of user name is special, itself and party itself, which do not possess, directly to be contacted, therefore, in social network sites, when two people into
For good friend, both sides can set remark names for other side, so that in numerous good friends, oneself can accurately learn that whom other side is；Wherein,
When user is that good friend sets remark names, existing social network sites system meeting automatic spring is the remark names that this person recommends, and right
In this technology, existing remark names recommend method main according in social networks other people to the remark names of the people and the people
The frequency that remark names in different social circles occur carries out statistical weight, and the most weights of occurrence number are higher, more
Close to true name；This method is fairly simple and is effective, but right in the case where network pet name data volume is very big
For the relative complex people of interpersonal relationships, it possesses many different addresses, and so effect based on statistics is just not ideal,
The various pet names, which respect title etc., can all interfere with the effect of word frequency statisticses；Simultaneously when the network pet name is relatively fewer, based on statistics
Effect it is similarly not satisfactory.Therefore, existing system remark names recommend method to be not applied for existing social networks
It is central.
The content of the invention
For above-mentioned technical problem, the technical problems to be solved by the invention are to provide a kind of applied to social network sites, pin
Setting remark names good friend, can effectively realize that the Chinese remark names system of social network sites user that system intelligent is recommended is pushed away
Recommend method.
In order to solve the above-mentioned technical problem the present invention uses following technical scheme：The present invention devises a kind of social network sites and used
Family Chinese remark names system recommendation method, comprises the following steps：
Step 001. is directed to targeted customer, obtains all user names for corresponding to the user in social network sites, is treated as each
User name is handled, the user name information aggregate of the user is constituted；
Step 002. sets rule according to default user name length weight and default user name Length Weight, for the user
Each pending user name in user name information aggregate, judges its length, and the user name length power of each pending user name is obtained respectively
Weight；
Step 003. is according to the default conventional Chinese for corresponding respectively to conventional Chinese surname dictionary and non-conventional Chinese surname dictionary
Surname basis weight and the non-basic weight of conventional Chinese surname, for each pending user name in user's user name information aggregate, point
It is not judged whether comprising Chinese surname, and this is belonged to conventional Chinese surname dictionary or non-conventional Chinese surname word comprising Chinese surname
Storehouse, the Chinese surname weight of each pending user name is obtained with this respectively；
Wherein, commonly use the basic weight of Chinese surname and the non-basic weight of conventional Chinese surname be all higher than user name length weight,
And the conventional basic weight of Chinese surname is more than the non-basic weight of conventional Chinese surname；
Step 004. is directed to user's user name information aggregate, according to Chinese word frequency, obtains what frequency was arranged from high to low
Preceding n high frequency words, constitute each high frequency words in high frequency set of words, and high frequency set of words and both correspond to default high frequency words basis
Weight, wherein, n is according to predetermined number；
Step 005. is according to the basic weight of default high frequency words, for each pending net in user's user name information aggregate
Name, judges whether it includes the high frequency words in high frequency set of words, and the number comprising high frequency words respectively, obtains each respectively with this
The high frequency words weight of individual pending user name；
Step 006. is directed to each pending user name in user's user name information aggregate, according to the user name of pending user name
Length Weight, Chinese surname weight, high frequency words weight, and default correspond respectively to user name length, Chinese surname, the weight of high frequency words
Coefficient, is weighted the total weight obtained corresponding to pending user name；
Step 007. obtains the pending user name of total weight highest in user's user name information aggregate, and what it is as the user is
System recommends remark names.
It is used as a preferred technical solution of the present invention：In the step 001, the user is corresponded in the social network sites
All user names include the user current user name, all history user names in social network sites, and other users are directed to the use
All remark names that family is set.
It is used as a preferred technical solution of the present invention：It is directed in the step 002 in user's user name information aggregate
Each pending user name, is performed as follows respectively：
The length of pending user name is obtained, and judges whether it meets default user name foundation length, is then by default net
Name length weight assigns the pending user name, is used as the user name Length Weight of the pending user name；Otherwise this is obtained to wait to locate
The difference of user name length and default user name foundation length is managed, rule is set according to default user name Length Weight, it is long by default user name
The basic weight of degree subtracts the numerical value corresponding to the difference, obtains weight as the user name Length Weight of the pending user name.
It is used as a preferred technical solution of the present invention：The default user name foundation length is 2~4.
It is used as a preferred technical solution of the present invention：It is directed in the step 003 in user's user name information aggregate
Each pending user name, is performed as follows respectively：
Whether step 00301. is judged comprising Chinese surname in pending user name, is then to enter step 00302, otherwise assigning should
The Chinese surname weight of pending user name is 0, and the method for obtaining the Chinese surname weight of the pending user name terminates；
Whether step 00302. is judged comprising the Chinese surname for belonging to conventional Chinese surname dictionary in pending user name, is to assign
The Chinese surname weight of the pending user name is the conventional Chinese basic weight of surname, the method for obtaining the Chinese surname weight of the pending user name
Terminate；Otherwise it is the non-conventional basic weight of Chinese surname to assign the Chinese surname weight of the pending user name, obtains the pending user name
The method of Chinese surname weight terminates.
It is used as a preferred technical solution of the present invention：In the step 004, n is 4.
It is used as a preferred technical solution of the present invention：It is directed in the step 005 in user's user name information aggregate
Each pending user name, is performed as follows respectively：
Step 00501. judges the high frequency words in high frequency set of words whether are included in pending user name, is then to enter step
00502, the high frequency words weight for otherwise assigning the pending user name is 0, obtains the method knot of the pending user name high frequency words weight
Beam；
Step 00502. obtains the number m that the pending user name includes high frequency words, assigns the high frequency words of the pending user name
Weight is high frequency words basis weight × m, and the method for obtaining the pending user name high frequency words weight terminates.
A kind of Chinese remark names system recommendation method of social network sites user of the present invention is using above technical scheme and now
There is technology to compare, with following technique effect：The Chinese remark names system recommendation method of social network sites user that the present invention is designed, should
For social network sites, for the setting of remark names between good friend, length factor, the constituent element of user name are considered, and wherein
Word frequency factor, by the way of weight calculation, can effectively realize system intelligent recommend, be applicable not only to user network concrete number
According to the situation that amount is larger, but also it can be suitably used for situation and a user network name data that a user possesses many different user names
Measure less situation.
Brief description of the drawings
Fig. 1 designs the flow chart of the Chinese remark names system recommendation method of social network sites user for the present invention；
Fig. 2 illustrates for the embodiment application module of the Chinese remark names system recommendation method of present invention design social network sites user
Figure.
Embodiment
Embodiment with reference to Figure of description for the present invention is described in further detail.
As depicted in figs. 1 and 2, a kind of Chinese remark names system recommendation method of social network sites user that the present invention is designed is in reality
Among the application process of border, following steps are actually specifically included：
Step 001. is directed to targeted customer, obtains all user names for corresponding to the user in social network sites, is treated as each
User name is handled, the user name information aggregate of the user is constituted, is stored in social network user user name memory；Wherein, the society
All user names for corresponding to the user in website are handed over to include the user current user name, all history user names in social network sites,
And other users are directed to all remark names that the user is set.
In practical application, depositing for the user name information aggregate for being directed to user is realized using social network user user name memory
Storage, among these, social network user user name memory use relational database or nosql databases or document data bank with
And other feasible storage instruments, and each pending user name in social network user user name memory for storage, together
When association user be directed to the use time of user name, and associate with unique mark of user, and when user's modification user name or
Person other people the user is added/when changing remark names, system can store new user name to social network user user name memory
In, and be associated with the unique mark of corresponding user.
Step 002. weight computation module obtains targeted customer from social networks memory according to the unique mark of user
All pending user names, then, weight computation module is weighed according to default user name length weight and default user name length
Reset set pattern then, for each pending user name in user's user name information aggregate, judge its length, each is obtained respectively and is treated
Handle the user name Length Weight of user name；Wherein, for each pending user name in user's user name information aggregate, respectively by such as
Lower method is performed：
It is 2-4 word according to the length of usual Chinese name, it is 2~4 to preset user name foundation length, therefore, is obtained first
The length of pending user name is obtained, and judges whether it meets default user name foundation length 2~4, is then that default user name is long
The basic weight of degree assigns the pending user name, is used as the user name Length Weight of the pending user name；Otherwise the pending net is obtained
The difference of name length and default user name foundation length, rule is set according to default user name Length Weight, by presetting user name length base
Plinth weight subtracts the numerical value corresponding to the difference, obtains weight as the user name Length Weight of the pending user name.
Step 003. weight computation module corresponds respectively to conventional Chinese surname dictionary and non-conventional Chinese surname word according to default
The basic weight of conventional Chinese surname in storehouse and the non-basic weight of conventional Chinese surname, are treated for each in user's user name information aggregate
User name is handled, it is judged respectively whether comprising Chinese surname, and this is belonged to conventional Chinese surname dictionary or very comprising Chinese surname
With Chinese surname dictionary, the Chinese surname weight of each pending user name is obtained respectively with this；Wherein, for user's user name information collection
Each pending user name in conjunction, is performed as follows respectively：
Whether step 00301. is judged comprising Chinese surname in pending user name, is then to enter step 00302, otherwise assigning should
The Chinese surname weight of pending user name is 0, and the method for obtaining the Chinese surname weight of the pending user name terminates；
Whether step 00302. is judged comprising the Chinese surname for belonging to conventional Chinese surname dictionary in pending user name, is to assign
The Chinese surname weight of the pending user name is the conventional Chinese basic weight of surname, the method for obtaining the Chinese surname weight of the pending user name
Terminate；Otherwise it is the non-conventional basic weight of Chinese surname to assign the Chinese surname weight of the pending user name, obtains the pending user name
The method of Chinese surname weight terminates.Wherein, commonly use the basic weight of Chinese surname and the non-basic weight of conventional Chinese surname is all higher than user name
Length weight, and the conventional basic weight of Chinese surname is more than the non-basic weight of conventional Chinese surname.
And Chinese surname dictionary and non-conventional Chinese surname dictionary wherein, are commonly used, according to the online open statistics provided
Arrangement is got, including conventional two-character surname and monosyllabic name (150 or so), and non-conventional Chinese surname dictionary (1000 or so) contains portion big absolutely
Divide Chinese surname (removing conventional surname).
Step 004. weight computation module is directed to user's user name information aggregate, according to Chinese word frequency, obtain frequency by
Each high frequency words in preceding 4 high frequency words of high to low arrangement, composition high frequency set of words, and high frequency set of words both correspond to pre-
If high frequency words basis weight.
Step 005. weight computation module is according to the basic weight of default high frequency words, in user's user name information aggregate
Each pending user name, judges whether it includes the high frequency words in high frequency set of words, and the number comprising high frequency words respectively, with
This obtains the high frequency words weight of each pending user name respectively, wherein, wait to locate for each in user's user name information aggregate
User name is managed, is performed as follows respectively：
Step 00501. judges the high frequency words in high frequency set of words whether are included in pending user name, is then to enter step
00502, the high frequency words weight for otherwise assigning the pending user name is 0, obtains the method knot of the pending user name high frequency words weight
Beam；
Step 00502. obtains the number m that the pending user name includes high frequency words, assigns the high frequency words of the pending user name
Weight is high frequency words basis weight × m, and the method for obtaining the pending user name high frequency words weight terminates.；
Step 006. is directed to each pending user name in user's user name information aggregate, according to the user name of pending user name
Length Weight, Chinese surname weight, high frequency words weight, and default correspond respectively to user name length, Chinese surname, the weight of high frequency words
Coefficient, is weighted the total weight obtained corresponding to pending user name.
Step 007. obtains the pending user name of total weight highest in user's user name information aggregate, and what it is as the user is
System recommends remark names, is recommended from remark names recommendation service module to user.
The Chinese remark names system recommendation method of social network sites user of above-mentioned technical proposal design, applied to social network sites,
For the setting of remark names between good friend, consider length factor, the constituent element of user name, and word frequency factor therein, adopt
It with the mode of weight calculation, can effectively realize that system intelligent is recommended, be applicable not only to the larger feelings of user network name data volume
Condition, but also can be suitably used for situation and the user network name less feelings of data volume that a user possesses many different user names
Condition.
Among actual application, embodiment will be applied to reference to the above method, it is specific as follows：
Step 001. is directed to targeted customer, obtains all user names for corresponding to the user in social network sites, is treated as each
User name is handled, the user name information aggregate { manager of the user is constituted；Zhang Shu；Zhang Guozhong；Eldest brother；Small loyal son；Shanghai company；
Laonan people；Pirates of the Caribbean Sui；Dare-to-die corps loyalty grandfather；If lofty and unyielding character iron；A Zhong；Faithful pal；South-Korea liquid Chelsea clocks；>>>Pie loves；Zhong Shu Zhu angles
>>>}。
Step 002. sets rule according to default user name length weight L1 and default user name Length Weight, for the use
Each pending user name in the user name information aggregate of family, judges its length, and the user name length of each pending user name is obtained respectively
Weight, it is specific as follows：
{ manager=L1；Zhang uncle=L1；Zhang Guozhong=L1；Eldest brother=L1；Small loyal son=L1；Laonan people=L1；If lofty and unyielding character
Iron=L1；A Zhong=L1；Faithful pal=L1；South-Korea liquid Chelsea clocks=L1 }；{ Shanghai company=L2；Pirates of the Caribbean Sui=L3；Dare
Dead team loyalty grandfather=L4；>>>Pie loves=L5；Zhong Shu Zhu angles>>>=L6 }；Wherein, user name Length Weight L2, L3, L4, L5, L6 are small
In user name Length Weight L1.
Step 003. is according to the default conventional Chinese for corresponding respectively to conventional Chinese surname dictionary and non-conventional Chinese surname dictionary
The surname basis weight N1 and non-basic weight N2 of conventional Chinese surname, for each pending net in user's user name information aggregate
Whether name, judge it comprising Chinese surname respectively, and this is belonged to conventional Chinese surname dictionary or non-conventional Chinese comprising Chinese surname
Surname dictionary, the Chinese surname weight of each pending user name is obtained with this respectively, specific as follows：
" opening " and " clock " belongs to conventional Chinese surname dictionary, then { manager=N1；Zhang uncle=N1；Zhang Guozhong=N1；A Zhong=
0；South-Korea liquid Chelsea clocks=N1；Shanghai company=N1 }；" Sui " and " iron " belongs to non-conventional Chinese surname dictionary, then { Pirates of the Caribbean Sui
=N2；Faithful pal=N2；If lofty and unyielding character iron=N2 }；And without Chinese surname in remaining user name, then { eldest brother=0；Small loyal son=0；
Laonan people=0；Dare-to-die corps's loyalty grandfather=0；>>>Pie love=0；Zhong Shu Zhu angles>>>=0 }.
Step 004. is directed to user's user name information aggregate, according to Chinese word frequency, obtains what frequency was arranged from high to low
Preceding 4 high frequency words, constitute high frequency set of words [loyal:4,:4, brother:2, iron:2].
Step 005. is according to the basic weight of default high frequency words, for each pending net in user's user name information aggregate
Name, judges whether it includes the high frequency words in high frequency set of words, and the number comprising high frequency words respectively, obtains each respectively with this
The high frequency words weight of individual pending user name, it is specific as follows：
{ manager=W1；Zhang uncle=W2；Zhang Guozhong=W3；If lofty and unyielding character iron=W4；A Zhong=W5；Faithful pal=W6；South-Korea liquid
Chelsea clocks=W7；Shanghai company=W8；Eldest brother=W9；Small loyal son=W10；Laonan people=W11；Dare-to-die corps loyalty grandfather=W12；>>>Pie
Love=W13；Zhong Shu Zhu angles>>>=W14；Pirates of the Caribbean Sui=W15 }, wherein, wherein Zhang Guozhong=W3 and faithful pal=W6
High frequency words weight is in the top.
Step 006. is directed to each pending user name in user's user name information aggregate, according to the user name of pending user name
Length Weight, Chinese surname weight, high frequency words weight, and default correspond respectively to user name length, Chinese surname, the weight of high frequency words
Coefficient, the total weight obtained corresponding to pending user name is weighted according to such as drag；
F=a*Lm+b*Nm+c*Wm
Wherein, f is total weight of pending user name, and a is the weight coefficient of user name length, and b is the weight coefficient of Chinese surname,
C is the weight coefficient of high frequency words.
Step 007. is by each pending user name in the user name information aggregate of the user by its total weight size by up to
It is low to be ranked up, it is specific as follows：Zhang Guozhong, and faithful pal, Zhang Shu, a manager, A Zhong, eldest brother, if lofty and unyielding character iron, South-Korea liquid Chelsea clocks, on
Hai companies, Lao Nanren, small loyal son, Pirates of the Caribbean,>>>Pie loves, dare-to-die corps's loyalty grandfather, Zhong Shu Zhu angles>>>, obtain the user
The pending user name of total weight highest " Zhang Guozhong " in user name information aggregate, is used as the system recommendation remark names of the user.
Embodiments of the present invention are explained in detail above in conjunction with accompanying drawing, but the present invention is not limited to above-mentioned implementation
Mode, can also be on the premise of present inventive concept not be departed from the knowledge that those of ordinary skill in the art possess
Make a variety of changes.
Claims (5)
1. a kind of Chinese remark names system recommendation method of social network sites user, it is characterised in that comprise the following steps：
Step 001. is directed to targeted customer, obtains all user names for corresponding to the user in social network sites, pending as each
User name, constitutes the user name information aggregate of the user；
Step 002. sets rule according to default user name length weight and default user name Length Weight, for user's user name
Each pending user name in information aggregate, judges its length, and the user name Length Weight of each pending user name is obtained respectively；Tool
Body acupuncture is performed as follows respectively to each pending user name in user's user name information aggregate：
The length of pending user name is obtained, and judges whether it meets default user name foundation length, is then that default user name is long
The basic weight of degree assigns the pending user name, is used as the user name Length Weight of the pending user name；Otherwise the pending net is obtained
The difference of name length and default user name foundation length, rule is set according to default user name Length Weight, by presetting user name length base
Plinth weight subtracts the numerical value corresponding to the difference, obtains weight as the user name Length Weight of the pending user name；Wherein, in advance
If user name foundation length be 2~4；
Step 003. is according to the default conventional Chinese surname base for corresponding respectively to conventional Chinese surname dictionary and non-conventional Chinese surname dictionary
Plinth weight and the non-basic weight of conventional Chinese surname, for each pending user name in user's user name information aggregate, sentence respectively
Whether it break comprising Chinese surname, and this is belonged to conventional Chinese surname dictionary or non-conventional Chinese surname dictionary comprising Chinese surname, with
This obtains the Chinese surname weight of each pending user name respectively；
Wherein, commonly use the basic weight of Chinese surname and the non-basic weight of conventional Chinese surname is all higher than user name length weight, and
The conventional basic weight of Chinese surname is more than the non-basic weight of conventional Chinese surname；
Step 004. is directed to user's user name information aggregate, according to Chinese word frequency, obtains preceding n that frequency is arranged from high to low
High frequency words, constitute each high frequency words in high frequency set of words, and high frequency set of words and both correspond to the basic weight of default high frequency words,
Wherein, n is according to predetermined number；
Step 005. is according to the basic weight of default high frequency words, for each pending user name in user's user name information aggregate,
Judge whether it includes the high frequency words in high frequency set of words, and the number comprising high frequency words respectively, each is obtained with this respectively
The high frequency words weight of pending user name；
Step 006. is directed to each pending user name in user's user name information aggregate, according to the user name length of pending user name
Weight, Chinese surname weight, high frequency words weight, and default correspond respectively to user name length, Chinese surname, the weight system of high frequency words
Number, is weighted the total weight obtained corresponding to pending user name；
Step 007. obtains the pending user name of total weight highest in user's user name information aggregate, is pushed away as the system of the user
Recommend remark names.
2. a kind of Chinese remark names system recommendation method of social network sites user according to claim 1, it is characterised in that described
In step 001, all user names in the social network sites corresponding to the user include the user the current net in social network sites
Name, all history user names, and other users are directed to all remark names that the user is set.
3. a kind of Chinese remark names system recommendation method of social network sites user according to claim 1, it is characterised in that described
Each pending user name in user's user name information aggregate is directed in step 003, is performed as follows respectively：
Whether step 00301. is judged in pending user name comprising Chinese surname, is then to enter step 00302, is otherwise assigned this and wait to locate
The Chinese surname weight for managing user name is 0, and the method for obtaining the Chinese surname weight of the pending user name terminates；
Whether step 00302. is judged comprising the Chinese surname for belonging to conventional Chinese surname dictionary in pending user name, is to assign this to treat
It is the conventional Chinese basic weight of surname to handle the Chinese surname weight of user name, obtains the method knot of the Chinese surname weight of the pending user name
Beam；
Otherwise it is the non-conventional basic weight of Chinese surname to assign the Chinese surname weight of the pending user name, is obtained in the pending user name
The method of literary surname weight terminates.
4. a kind of Chinese remark names system recommendation method of social network sites user according to claim 1, it is characterised in that described
In step 004, n is 4.
5. a kind of Chinese remark names system recommendation method of social network sites user according to claim 1, it is characterised in that described
Each pending user name in user's user name information aggregate is directed in step 005, is performed as follows respectively：
Step 00501. judges the high frequency words in high frequency set of words whether are included in pending user name, is then to enter step 00502,
Otherwise the high frequency words weight for assigning the pending user name is 0, and the method for obtaining the pending user name high frequency words weight terminates；
Step 00502. obtains the number m that the pending user name includes high frequency words, assigns the high frequency words weight of the pending user name
For high frequency words basis weight × m, the method for obtaining the pending user name high frequency words weight terminates.
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| CN106021235B (en) * | 2016-06-01 | 2019-01-29 | 腾讯科技（深圳）有限公司 | A kind of data mining processing method and device |
| CN111552798B (en) * | 2020-04-30 | 2021-06-04 | 腾讯科技（深圳）有限公司 | Name information processing method and device based on name prediction model and electronic equipment |
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| CN103473313A (en) * | 2013-09-11 | 2013-12-25 | 百度在线网络技术（北京）有限公司 | Establishment method and device for name dictionary of input method |
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