CN101950392A - Intelligent recommending system and method for online dating - Google Patents
Intelligent recommending system and method for online dating Download PDFInfo
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- CN101950392A CN101950392A CN2010102909792A CN201010290979A CN101950392A CN 101950392 A CN101950392 A CN 101950392A CN 2010102909792 A CN2010102909792 A CN 2010102909792A CN 201010290979 A CN201010290979 A CN 201010290979A CN 101950392 A CN101950392 A CN 101950392A
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Abstract
The invention relates to an intelligent recommending system for online dating, which is used for recommending users of an online dating platform dating information, and comprises a user evaluation recording unit, an evaluation data storing unit and an intelligent recommending unit, wherein the user evaluation recording unit is used for recording positive evaluation among all users in the online dating platform and generating evaluation data; the evaluation data storing unit is used for storing the evaluation data; and the intelligent recommending unit is used for acquiring a second user given positive evaluation by a first user according to the evaluation data, acquiring a third user given positive evaluation by the second user according to the evaluation data, acquiring a fourth user given positive evaluation by the third user according to the evaluation data, and recommending the fourth user to the first user, wherein the second user, the third user and the fourth user respectively comprise more than one user. The invention also provides a corresponding method. By recommending accurate dating information, the invention can greatly improve the success rate of dating and save the time of the users for browsing information.
Description
Technical field
The present invention relates to the internet dating field, more particularly, relate to a kind of internet dating intelligent recommendation system and method.
Background technology
Along with the development of Internet technology, the application of internet has been goed deep in most of people's the routine work and life.Because the internet is not subjected to the restriction of space or time, can grasp up-to-date information whenever and wherever possible, so be called many people's acquired informations or share the important channel of gains in depth of comprehension.And traditional introduction of marriage industry also is transplanted on the network, and its main manifestation mode is the platform of making friends on various types of lines, the website of for example making friends.
Present friend-making website, domestic consumer becomes the member of friend-making website by submitting personal information and demand information, and above-mentioned personal information (for example sex, age, contact method etc.) and demand information (for example the other side's age, height etc.) are by depositing database in after the friend-making website review.Subsequently, the friend-making website regularly or irregularly from its database retrieval obtain other members that meet a certain member's demand information, and the personal information such as contact method that will retrieve other members of acquisition send to this member, the information recommendation of promptly making friends.
Present friend-making information recommendation adopts the mode of member's personal information coupling usually, and this just requires the member must import complete personal information in the friend-making website.Yet, if member's personal information shortcoming, the information recommendation that will cause making friends failure.In addition, not very clear and definite member (promptly to age of friend-making the opposing party, height etc.) for some friend-making demand, the demand information that may be difficult to propose demand information or proposition is fuzzyyer, makes recommendation information too much, the information recommendation that also can cause making friends failure.Also have,, make that recommendation information is very few or do not have the information recommendation that to cause equally making friends failure if member's personal information is too clear and definite.
Summary of the invention
The technical problem to be solved in the present invention is, relies on personal information and the problem of the information recommendation failure that causes making friends at friend-making information recommendation in the above-mentioned internet dating, and a kind of internet dating intelligent recommendation system and method is provided.
The technical scheme that the present invention solves the problems of the technologies described above is, a kind of internet dating intelligent recommendation system is provided, and is used for recommending friend-making information to the user of internet dating platform, comprising:
The user estimates record cell, is used for writing down the affirmative evaluation between all users of internet dating platform and generating evaluating data;
The evaluating data storage unit is used to store evaluating data;
The intelligent recommendation unit, be used for according to described evaluating data obtain second user that first user gives affirmative evaluation, according to described evaluating data obtain to give second user's affirmative evaluation the 3rd user, obtain the four-function family that the 3rd user gives affirmative evaluation according to described evaluating data, and described four-function family recommended first user, described second user, the 3rd user and four-function family comprise an above user respectively.
In internet dating intelligent recommendation of the present invention system, first matching unit that also comprises the personal information storage unit of the personal information that is used for all users of storage networking friend-making platform and be used for the four-function family and first user's personal information is mated, described intelligent recommendation unit is recommended first user according to the height of the matching degree that first matching unit obtains sequentially with the four-function family, described personal information comprises identity information and demand information, and described matching unit mates first user's the demand information and the identity information at four-function family.
In internet dating intelligent recommendation of the present invention system, second matching unit that also comprises the personal information storage unit of the personal information that is used for all users of storage networking friend-making platform and be used for the personal information at four-function family and second user's personal information is mated, described intelligent recommendation unit is recommended first user according to the height of the matching degree that second matching unit obtains sequentially with the four-function family.
In internet dating intelligent recommendation of the present invention system, also comprise the evaluation statistic unit, be used to calculate the quantity of the affirmative evaluation that the four-function family obtained, described intelligent recommendation unit is recommended first user according to what of the quantity that obtains affirmative evaluation sequentially with the four-function family.
In internet dating intelligent recommendation of the present invention system, the user of described internet dating platform has the sex attribute, described first user and second user's sex is opposite, and described the 3rd user is identical with first user's sex, and described four-function family is identical with second user's sex.
The present invention also provides a kind of internet dating intelligent recommendation method, is used for recommending friend-making information to the user of internet dating platform, may further comprise the steps:
Affirmative evaluation in a, the internet dating platform record internet dating platform between all users also generates evaluating data;
B, obtain second user that first user gives affirmative evaluation according to described evaluating data;
C, obtain to give the 3rd user of second user's affirmative evaluation according to described evaluating data;
D, obtain the four-function family that the 3rd user gives affirmative evaluation according to described evaluating data;
E, described first user is recommended at described four-function family;
Wherein said second user, the 3rd user and four-function family comprise an above user respectively.
In internet dating intelligent recommendation method of the present invention, store all users' personal information in the described internet dating platform, described personal information comprises identity information and demand information, comprise among the described step e: the internet dating platform mates the identity information at four-function family and first user's demand information, and according to the height of matching degree first user is recommended at the four-function family sequentially.
In internet dating intelligent recommendation method of the present invention, store all users' personal information in the described internet dating platform, comprise among the described step e: the personal information at four-function family and second user's personal information are mated, and first user is recommended at the four-function family sequentially according to the height of matching degree.
In internet dating intelligent recommendation method of the present invention, described step e comprises: calculate the quantity of the affirmative evaluation that the four-function family obtained, and according to what of the quantity that obtains affirmative evaluation first user is recommended at the four-function family sequentially.
In internet dating intelligent recommendation method of the present invention, the user of described internet dating platform has the sex attribute, described first user and second user's sex is opposite, and described the 3rd user is identical with first user's sex, and described four-function family is identical with second user's sex.
Internet dating intelligent recommendation system and method for the present invention according to the affirmative evaluation information recommendation of making friends, makes that the friend-making information recommendation in the friend-making platform is more accurate.The present invention can greatly improve the success ratio of friend-making, saves the time that the user browses data.
Description of drawings
Fig. 1 is the synoptic diagram of internet dating intelligent recommendation first embodiment of system of the present invention.
Fig. 2 is the synoptic diagram of internet dating intelligent recommendation second embodiment of system of the present invention.
Fig. 3 is the synoptic diagram of internet dating intelligent recommendation the 3rd embodiment of system of the present invention.
Fig. 4 is the process flow diagram of internet dating intelligent recommendation method embodiment of the present invention.
Embodiment
The present invention passes through the foundation of the operation note of internet dating platform user as the friend-making information recommendation, makes recommendation information more accurate, has greatly improved the efficient of online friend-making.
As shown in Figure 1, be the synoptic diagram of internet dating intelligent recommendation first embodiment of system of the present invention, this intelligent recommendation system is used for recommending friend-making information to the user of internet dating platform.In the present embodiment, the intelligent recommendation system comprises that the user estimates record cell 11, evaluating data storage unit 12 and intelligent recommendation unit 13.Above-mentioned user estimates record cell 11, evaluating data storage unit 12 and intelligent recommendation unit 13 and can be positioned on the internet dating Platform Server, also can be positioned at a plurality of physical equipments that connect via network.The terminal of user by being connected to the internet dating Platform Server be from internet dating Platform Server reading of data, and send data to the internet dating Platform Server.
The user estimates record cell 11 and is used for writing down the affirmative evaluation between all users of internet dating platform and generating evaluating data.Store all users (member's) personal information (for example age, sex, height, photo etc.) in the internet dating platform (server), the user can read the personal information of other users in the internet dating platform by the browser of terminal.When browsing other users' personal information, the browser input that the user can be by terminal, is for example imported affirmative evaluation and is satisfied with to express the view to this user other evaluation of user information.
Evaluating data storage unit 12 is used to store the user and estimates the evaluating data that record cell 11 is generated.When specific implementation, this evaluating data can manage by independent database, and for example each evaluating data comprises the evaluation user and estimated the user, and all evaluating datas are formed a tables of data.Certainly, above-mentioned evaluating data also can be used as userspersonal information's a attribute, for example comprises the every other user that this user gives all users of affirmative evaluation and gives this user's affirmative evaluation in the individual subscriber data.
Because the 3rd user has identical hobby (i.e. second user) with first user, then other hobbies of the 3rd user (i.e. four-function family) also must become the object that first user is paid close attention to, and therefore above-mentioned intelligent recommendation system can realize the reasonably way of recommendation.And the above-mentioned way of recommendation does not rely on user's personal information, can realize under the incomplete situation of personal information yet.
As shown in Figure 2, in the second embodiment of the present invention, too much cause blindly recommending for fear of four-function amount amount, in internet dating intelligent recommendation system except comprising that the user estimates record cell 21, evaluating data storage unit 22 and the intelligent recommendation unit 23, first matching unit 24 that also can comprise the personal information storage unit 25 of the personal information that is used for all users of storage networking friend-making platform and be used for the four-function family and first user's personal information is mated.Intelligent recommendation unit 23 is recommended first user according to the height of the matching degree that first matching unit 24 obtains sequentially with the four-function family.
Especially, stored personal information comprises identity information (for example age, height etc.) and demand information (age of friend-making object, height etc.) in the personal information storage unit 25, and first matching unit 24 mates first user's the demand information and the identity information at four-function family.
In addition, also available one second matching unit of the first above-mentioned matching unit 24 replaces, this second matching unit is used for the personal information at four-function family and second user's personal information are mated, and intelligent recommendation unit 23 is recommended first user according to the height of the matching degree that second matching unit obtains sequentially with the four-function family.
As shown in Figure 3, in the third embodiment of the present invention, too much cause blindly recommending for fear of four-function amount amount equally, in internet dating intelligent recommendation system,, also can comprise and estimate statistic unit 34 except comprising that the user estimates record cell 31, evaluating data storage unit 32 and the intelligent recommendation unit 33.This evaluation statistic unit 34 is used to calculate the quantity of the affirmative evaluation that the four-function family obtained, and intelligent recommendation unit 33 is recommended first user according to what of the quantity that obtains affirmative evaluation sequentially with the four-function family.
Especially, in above-mentioned internet dating intelligent recommendation system, the user of internet dating platform has sex attribute (for example personal information comprises sex), and first user and second user's sex is opposite, the 3rd user is identical with first user's sex, and the four-function family is identical with second user's sex.
As shown in Figure 4, be the process flow diagram of internet dating intelligent recommendation method embodiment of the present invention, this method is used for recommending friend-making information to the user of internet dating platform, may further comprise the steps:
Step S41: the affirmative evaluation in the internet dating platform record internet dating platform between all users also generates evaluating data.The user can read the personal information of other users in the internet dating platform by the browser of terminal, and the input of the browser by terminal to other evaluation of user information to express view to this user, for example import affirmative evaluation and be satisfied with.
Above-mentioned evaluating data can manage by independent database, and for example each evaluating data comprises the evaluation user and estimated the user, and all evaluating datas are formed a tables of data.Certainly, above-mentioned evaluating data also can be used as userspersonal information's a attribute, for example comprises the every other user that this user gives all users of affirmative evaluation and gives this user's affirmative evaluation in the individual subscriber data.
Step S42: obtain second user that first user gives affirmative evaluation according to evaluating data, for example first user is satisfaction to second user ID after the personal information of browsing second user.Wherein second user is a set, can comprise an above user.
Step S43: acquisition gives the 3rd user of second user's affirmative evaluation according to evaluating data, and for example the 3rd user is satisfaction to second user ID after the personal information of browsing second user.Wherein the 3rd user is a set, can comprise an above user.
Step S44: obtain the four-function family that the 3rd user gives affirmative evaluation according to evaluating data, for example the 3rd user is designated satisfaction to the four-function family after the personal information of browsing the four-function family.Wherein the four-function family is a set, can comprise an above user.
Step S45: described first user is recommended at the four-function family.In this step, in four-function amount amount more for a long time, can be by any existing mode (for example name) to the recommendation of sorting of four-function family.
More and cause blindly recommending for fear of the four-function amount amount that obtains, in above-mentioned internet dating intelligent recommendation method, store all users' personal information in the internet dating platform, the internet dating platform mates the four-function family and first user's personal information among the step S45, and according to the height of matching degree first user is recommended at the four-function family sequentially.Above-mentioned personal information comprises identity information and demand information, when coupling first user's the demand information and the identity information at four-function family is mated.
In this step, also can be by the personal information at four-function family and second user's personal information be mated,, and first user is recommended at the four-function family sequentially according to the height of matching degree.
In addition, among the step S45, quantity that also can be by calculating the affirmative evaluation that the four-function family obtains is for according to recommending, and promptly according to what of the quantity that obtains affirmative evaluation first user recommended at the four-function family sequentially.
In above-mentioned internet dating intelligent recommendation method, the user of internet dating platform has sex attribute (for example personal information comprises sex), first user and second user's sex is opposite, and the 3rd user is identical with first user's sex, and the four-function family is identical with second user's sex.
Above-mentioned internet dating intelligent recommendation system and method, operation note (being affirmative evaluation) by the user and user's the common hobby information recommendation of making friends has been realized the accurate recommendation of friend-making information.And said system and method do not rely on the userspersonal information, can greatly improve the success ratio of friend-making.
The above; only for the preferable embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.
Claims (10)
1. an internet dating intelligent recommendation system is used for recommending friend-making information to the user of internet dating platform, it is characterized in that, comprising:
The user estimates record cell, is used for writing down the affirmative evaluation between all users of internet dating platform and generating evaluating data;
The evaluating data storage unit is used to store evaluating data;
The intelligent recommendation unit, be used for according to described evaluating data obtain second user that first user gives affirmative evaluation, according to described evaluating data obtain to give second user's affirmative evaluation the 3rd user, obtain the four-function family that the 3rd user gives affirmative evaluation according to described evaluating data, and described four-function family recommended first user, described second user, the 3rd user and four-function family comprise an above user respectively.
2. internet dating intelligent recommendation according to claim 1 system, it is characterized in that, and be used for first matching unit that the four-function family and first user's personal information is mated, described intelligent recommendation unit is recommended first user according to the height of the matching degree that first matching unit obtains sequentially with the four-function family, described personal information comprises identity information and demand information, and described first matching unit mates first user's the demand information and the identity information at four-function family.
3. internet dating intelligent recommendation according to claim 1 system, it is characterized in that, second matching unit that also comprises the personal information storage unit of the personal information that is used for all users of storage networking friend-making platform and be used for the personal information at four-function family and second user's personal information is mated, described intelligent recommendation unit is recommended first user according to the height of the matching degree that second matching unit obtains sequentially with the four-function family.
4. internet dating intelligent recommendation according to claim 1 system, it is characterized in that, also comprise the evaluation statistic unit, be used to calculate the quantity of the affirmative evaluation that the four-function family obtained, described intelligent recommendation unit is recommended first user according to what of the quantity that obtains affirmative evaluation sequentially with the four-function family.
5. according to each described internet dating intelligent recommendation system among the claim 1-4, it is characterized in that, the user of described internet dating platform has the sex attribute, described first user and second user's sex is opposite, described the 3rd user is identical with first user's sex, and described four-function family is identical with second user's sex.
6. an internet dating intelligent recommendation method is used for recommending friend-making information to the user of internet dating platform, it is characterized in that, may further comprise the steps:
Affirmative evaluation in a, the internet dating platform record internet dating platform between all users also generates evaluating data;
B, obtain second user that first user gives affirmative evaluation according to described evaluating data;
C, obtain to give the 3rd user of second user's affirmative evaluation according to described evaluating data;
D, obtain the four-function family that the 3rd user gives affirmative evaluation according to described evaluating data;
E, described first user is recommended at described four-function family;
Wherein said second user, the 3rd user and four-function family comprise an above user respectively.
7. internet dating intelligent recommendation method according to claim 6, it is characterized in that, store all users' personal information in the described internet dating platform, described personal information comprises identity information and demand information, comprise among the described step e: the internet dating platform mates the identity information at four-function family and first user's demand information, and according to the height of matching degree first user is recommended at the four-function family sequentially.
8. internet dating intelligent recommendation method according to claim 6, it is characterized in that, store all users' personal information in the described internet dating platform, comprise among the described step e: the personal information at four-function family and second user's personal information are mated, and first user is recommended at the four-function family sequentially according to the height of matching degree.
9. internet dating intelligent recommendation method according to claim 6, it is characterized in that, described step e comprises: calculate the quantity of the affirmative evaluation that the four-function family obtained, and according to what of the quantity that obtains affirmative evaluation first user is recommended at the four-function family sequentially.
10. according to each described internet dating intelligent recommendation method among the claim 6-9, it is characterized in that, the user of described internet dating platform has the sex attribute, described first user and second user's sex is opposite, described the 3rd user is identical with first user's sex, and described four-function family is identical with second user's sex.
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| CN2010102909792A CN101950392A (en) | 2010-09-26 | 2010-09-26 | Intelligent recommending system and method for online dating |
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| CN2010102909792A CN101950392A (en) | 2010-09-26 | 2010-09-26 | Intelligent recommending system and method for online dating |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102201845A (en) * | 2011-04-21 | 2011-09-28 | 清华大学 | Mobile dating system based on Bluetooth context awareness technology |
| CN104104590A (en) * | 2014-07-24 | 2014-10-15 | 杨科 | Purpose based social network building method and system |
| CN105677817A (en) * | 2015-12-31 | 2016-06-15 | 华南师范大学 | Personalized recommending method and system based on positive and inverse attribute knowledge base |
| CN107122501A (en) * | 2017-06-16 | 2017-09-01 | 佛山市幻云科技有限公司 | A kind of system of scene friend-making pairing |
| CN110955843A (en) * | 2020-02-13 | 2020-04-03 | 深圳市珍爱云信息技术有限公司 | User allocation method, device, computer equipment and storage medium |
-
2010
- 2010-09-26 CN CN2010102909792A patent/CN101950392A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102201845A (en) * | 2011-04-21 | 2011-09-28 | 清华大学 | Mobile dating system based on Bluetooth context awareness technology |
| CN102201845B (en) * | 2011-04-21 | 2013-09-04 | 清华大学 | Mobile dating system based on Bluetooth context awareness technology |
| CN104104590A (en) * | 2014-07-24 | 2014-10-15 | 杨科 | Purpose based social network building method and system |
| CN105677817A (en) * | 2015-12-31 | 2016-06-15 | 华南师范大学 | Personalized recommending method and system based on positive and inverse attribute knowledge base |
| CN105677817B (en) * | 2015-12-31 | 2019-07-19 | 华南师范大学 | Personalized recommendation method and system based on positive and negative attribute knowledge base |
| CN107122501A (en) * | 2017-06-16 | 2017-09-01 | 佛山市幻云科技有限公司 | A kind of system of scene friend-making pairing |
| CN110955843A (en) * | 2020-02-13 | 2020-04-03 | 深圳市珍爱云信息技术有限公司 | User allocation method, device, computer equipment and storage medium |
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Application publication date: 20110119 |