CN106097116A - A kind of network blind date matching method - Google Patents

A kind of network blind date matching method Download PDF

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Publication number
CN106097116A
CN106097116A CN201610484595.1A CN201610484595A CN106097116A CN 106097116 A CN106097116 A CN 106097116A CN 201610484595 A CN201610484595 A CN 201610484595A CN 106097116 A CN106097116 A CN 106097116A
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China
Prior art keywords
level
grades
matching method
blind date
situation
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CN201610484595.1A
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Chinese (zh)
Inventor
董雄飞
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Hefei Minzhongyixing Software Development Co Ltd
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Hefei Minzhongyixing Software Development Co Ltd
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Priority to CN201610484595.1A priority Critical patent/CN106097116A/en
Publication of CN106097116A publication Critical patent/CN106097116A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/01Social networking

Abstract

The invention discloses a kind of network blind date matching method, the single stranger scholar's information mode of step (1) uses network registry information, market survey questionnaires and three kinds of modes of footpath between fields electricity visit to obtain, it is obtained in that substantial amounts of information by these three kinds of modes, step (4) parameters proportion is: age a, 15%;Residence b, 20%;Income c, 25%;Housing condition d, 20%;Relatives member's situation e, 10%;Nature factor f, 10%, this law considers several key factors in blind date, it is ensured that the matching degree of pairing is high, and 6 parameter classification situations are designed by considering, to obtain higher matching degree, 6 parameters are carried out comprehensive grading by this formula by step (6) Si=15%a+20%b+25%c+20%d+10%e+10%f, it is simple to quantify reference, step (6) regulation is matched from the beginning of W0, it is ensured that being smoothed out of program.

Description

A kind of network blind date matching method
Technical field
The invention belongs to networking technology area, particularly to a kind of network blind date matching method.
Background technology
Entering 21 century, occur in that increasing surplus man spinster, therefore blind date mechanism also occurs in that market.Existing market On blind date mechanism matching method be that the information of registered members is matched by professional item by item, then that matching degree is higher Single match.But owing to personnel amount is huge, only mate by manpower, a lot of limitation can be there is, And work efficiency is low.
Summary of the invention
Problem to be solved by this invention is to provide a kind of network blind date matching method.
To achieve these goals, the technical scheme that the present invention takes is:
A kind of network blind date matching method, comprises the steps:
(1) collect the information of single stranger scholar, set up data base;
(2) encoding to every single, male is encoded to Mi(i=0, and 1,2 n), and women is encoded to Wj(j=0,1,2 n);
(3) data collected are utilized, it is thus achieved that corresponding match parameter, respectively age a, residence b, income c, housing condition d, Relatives member's situation e, nature factor f;
(4) parameters is carried out weight proportioning;
(5) parameter being divided into four grades, wherein one-level 20 points respectively, two grades 15 points, three grades is 5 points, level Four 0 point;
(6) by Wj(j=0,1,2 n) and Mi(i=0, and 1,2 n) matches, according to pairing Situation carries out point counting Si(i=0, and 1,2 n), and score is carried out mark sequence, select that mark is the highest three, journey Sequence terminates;
(7) perform j+1, and perform step (6);
Preferably, the single stranger scholar's information mode of described step (1) use network registry information, market survey questionnaires and Footpath between fields three kinds of modes of electricity visit obtain;
Preferably, described step (4) parameters proportion is: age a, 15%;Residence b, 20%;Income c, 25%;House Condition d, 20%;Relatives member's situation e, 10%;Nature factor f, 10%.
Preferably, described step (5) parameter classification situation is:
Age level Four is: men and women's age absolute difference, one-level 1-3 year;Two grades of 4-5;Three grades of 6-10;Level Four more than 10 years old,
Income level Four is: more than one-level 2W;Two grades of 1-2W;Three grades of 5K-10K;Below level Four 5k,
Housing condition level Four is: there is room one-level city;There is room in more inclined district, two grades of citys;There is room in three grades of suburbs;Level Four without room,
Relatives member's situation level Four is: one's parents are still alive and has siblings for one-level;Two grades one's parents are still alive;Three grades of single parents also have brother Sister;Level Four single parent,
Nature factor level Four is: one-level is actively rich in sense of responsibility;Two grades are rich in sense of responsibility;Three grades actively;Level Four is the most passive.
Preferably, described step (6) Si=15%a+20%b+25%c+20%d+10%e+10%f.
Preferably, described step (6) regulation is matched from the beginning of W0.
Beneficial effect: the invention provides a kind of network blind date matching method, the single stranger scholar information side of step (1) Formula uses network registry information, market survey questionnaires and three kinds of modes of footpath between fields electricity visit to obtain, can by these three kinds of modes Obtaining substantial amounts of information, step (4) parameters proportion is: age a, 15%;Residence b, 20%;Income c, 25%;House Condition d, 20%;Relatives member's situation e, 10%;Nature factor f, 10%, this law considers several key factors in blind date, protects The matching degree of card pairing is high, and 6 parameter classification situations are designed by considering, to obtain higher matching degree, step (6) 6 parameters are carried out comprehensive grading by this formula by Si=15%a+20%b+25%c+20%d+10%e+10%f, it is simple to quantify Reference, step (6) regulation is matched from the beginning of W0, it is ensured that being smoothed out of program.
Detailed description of the invention
Embodiment 1:
A kind of network blind date matching method, its processing technique comprises the steps:
(1) collecting the information of single stranger scholar, single stranger scholar's information mode uses network registry information, market survey to ask Volume and three kinds of modes of footpath between fields electricity visit obtain, and set up data base;
(2) encoding to every single, male is encoded to Mi(i=0, and 1,2 n), and women is encoded to Wj(j=0,1,2 n);
(3) data collected are utilized, it is thus achieved that corresponding match parameter, respectively age a, residence b, income c, housing condition d, Relatives member's situation e, nature factor f;
(4) parameters carrying out weight proportioning, parameters proportion is: age a, 15%;Residence b, 20%;Income c, 25%;Housing condition d, 20%;Relatives member's situation e, 10%;Nature factor f, 10%;
(5) parameter being divided into four grades, wherein one-level 20 points respectively, two grades 15 points, three grades is 5 points, level Four 0 point;Parameter is divided Level situation is:
Age level Four is: men and women's age absolute difference, one-level 1-3 year;Two grades of 4-5;Three grades of 6-10;Level Four more than 10 years old,
Income level Four is: more than one-level 2W;Two grades of 1-2W;Three grades of 5K-10K;Below level Four 5k,
Housing condition level Four is: there is room one-level city;There is room in more inclined district, two grades of citys;There is room in three grades of suburbs;Level Four without room,
Relatives member's situation level Four is: one's parents are still alive and has siblings for one-level;Two grades one's parents are still alive;Three grades of single parents also have brother Sister;Level Four single parent,
Nature factor level Four is: one-level is actively rich in sense of responsibility;Two grades are rich in sense of responsibility;Three grades actively;Level Four is the most passive;
(6) regulation is matched from the beginning of W0, and by Wj(j=0,1,2 n) and Mi(i=0, and 1,2 n) Match, carry out point counting Si=15%a+20%b+25%c+20%d+10%e+10%f(i=0 according to pairing situation, 1, 2 n), and score is carried out mark sequence, select that mark is the highest three, EP (end of program);
(7) perform j+1, and perform step (6);
After process above, taking out sample respectively, measurement result is as follows:
Matching degree It is paired into power Execution process error rate Perform precision
Embodiment 1 93.1% 66.5% 0.5‰ 0.001
Prior art 85.8% 58.0% 0.8‰ 0.010
Can draw according to above table data, when embodiment 1 implements network blind date matching method, and matching degree is 93.1%, being paired into power is 66.5%, and performing error rate is 0.5 ‰, and performing precision is 0.001, and prior art matches criteria Degree is 85.5%, and being paired into power is 58.0%, and performing error rate is 0.8 ‰, and performing precision is 0.010, and this shows base of the present invention In the blind date matching method of network, the matching degree obtained a result, being paired into power high, the error rate of execution is low, the precision of execution Height, therefore the present invention has significant superiority.
The invention provides a kind of network blind date matching method, the single stranger scholar's information mode of step (1) is adopted Visit three kinds of modes with network registry information, market survey questionnaires and footpath between fields electricity to obtain, be obtained in that by these three kinds of modes Substantial amounts of information, step (4) parameters proportion is: age a, 15%;Residence b, 20%;Income c, 25%;Housing condition D, 20%;Relatives member's situation e, 10%;Nature factor f, 10%, this law considers several key factors in blind date, it is ensured that join To matching degree high, 6 parameter classification situations are designed by considering, to obtain higher matching degree, step (6) Si 6 parameters are carried out comprehensive grading by this formula by=15%a+20%b+25%c+20%d+10%e+10%f, it is simple to quantify reference, Step (6) regulation is matched from the beginning of W0, it is ensured that being smoothed out of program.
The foregoing is only embodiments of the invention, not thereby limit the scope of the claims of the present invention, every utilize this Equivalent structure or equivalence flow process that bright description is made convert, or are directly or indirectly used in other relevant technology necks Territory, is the most in like manner included in the scope of patent protection of the present invention.

Claims (6)

1. a network blind date matching method, it is characterised in that its preparation technology includes:
(1) collect the information of single stranger scholar, set up data base;
(2) encoding to every single, male is encoded to Mi(i=0, and 1,2 n), and women is encoded to Wj(j=0,1,2 n);
(3) data collected are utilized, it is thus achieved that corresponding match parameter, respectively age a, residence b, income c, housing condition d, Relatives member's situation e, nature factor f;
(4) parameters is carried out weight proportioning;
(5) parameter being divided into four grades, wherein one-level 20 points respectively, two grades 15 points, three grades is 5 points, level Four 0 point;
(6) by Wj(j=0,1,2 n) and Mi(i=0, and 1,2 n) matches, according to pairing Situation carries out point counting Si(i=0, and 1,2 n), and score is carried out mark sequence, select that mark is the highest three, journey Sequence terminates;
(7) perform j+1, and perform step (6).
2. the network blind date matching method processed described in claim 1, it is characterised in that: described step (1) is single Stranger scholar's information mode uses network registry information, market survey questionnaires and three kinds of modes of footpath between fields electricity visit to obtain.
3. the network blind date matching method processed described in claim 1, it is characterised in that: described step (4) is each Item parameter proportion is: age a, 15%;Residence b, 20%;Income c, 25%;Housing condition d, 20%;Relatives member's situation e, 10%;Nature factor f, 10%.
4. the network blind date matching method processed described in claim 1, it is characterised in that: described step (5) is joined Number classification situation is:
Age level Four is: men and women's age absolute difference, one-level 1-3 year;Two grades of 4-5;Three grades of 6-10;Level Four more than 10 years old,
Income level Four is: more than one-level 2W;Two grades of 1-2W;Three grades of 5K-10K;Below level Four 5k,
Housing condition level Four is: there is room one-level city;There is room in more inclined district, two grades of citys;There is room in three grades of suburbs;Level Four without room,
Relatives member's situation level Four is: one's parents are still alive and has siblings for one-level;Two grades one's parents are still alive;Three grades of single parents also have brother Sister;Level Four single parent,
Nature factor level Four is: one-level is actively rich in sense of responsibility;Two grades are rich in sense of responsibility;Three grades actively;Level Four is the most passive.
5. network blind date matching method described in a processing claim 1, it is characterised in that: described step (6) Si= 15%a+20%b+25%c+20%d+10%e+10%f。
6. the network blind date matching method processed described in claim 1, it is characterised in that: described step (6) is advised Fixed pairing is from the beginning of W0.
CN201610484595.1A 2016-06-29 2016-06-29 A kind of network blind date matching method Withdrawn CN106097116A (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN107274295A (en) * 2017-06-16 2017-10-20 佛山市幻云科技有限公司 A kind of method and system matched based on internet dating
CN107330800A (en) * 2017-07-04 2017-11-07 重庆木可桥科技有限公司 Method for matching user in social product based on various dimensions test result
CN109165354A (en) * 2018-08-08 2019-01-08 苏州酷外文化传媒有限公司 Blind date friend-making matching process and device based on block chain
CN111566708A (en) * 2018-02-11 2020-08-21 北京嘀嘀无限科技发展有限公司 Team system and method for service platform

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN107274295A (en) * 2017-06-16 2017-10-20 佛山市幻云科技有限公司 A kind of method and system matched based on internet dating
CN107330800A (en) * 2017-07-04 2017-11-07 重庆木可桥科技有限公司 Method for matching user in social product based on various dimensions test result
CN111566708A (en) * 2018-02-11 2020-08-21 北京嘀嘀无限科技发展有限公司 Team system and method for service platform
CN109165354A (en) * 2018-08-08 2019-01-08 苏州酷外文化传媒有限公司 Blind date friend-making matching process and device based on block chain

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