CN105516353A - Network information popularization method and system - Google Patents
Network information popularization method and system Download PDFInfo
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- CN105516353A CN105516353A CN201610016863.7A CN201610016863A CN105516353A CN 105516353 A CN105516353 A CN 105516353A CN 201610016863 A CN201610016863 A CN 201610016863A CN 105516353 A CN105516353 A CN 105516353A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
Abstract
The invention discloses a network information popularization method and a network information popularization system. The network information popularization method comprises a step of pushing subscribed network information to a website registered user. According to the network information popularization method and the network information popularization system, the user can really get recommends of desired objects without boredom; a merchant can more effectively popularize information in a more targeted way; therefore, a customer has a deeper and more thorough understanding of a website.
Description
Technical field
The present invention relates to internet, applications field, espespecially network information promotion method and system.
Background technology
Nowadays network user's identity on network is unknowable, and consumption demand is unknowable, and purchasing power is unknowable, in the face of the Internet covered the sky and the earth is promoted, is fed up with or directly ignores.No matter be microblogging, network direct broadcasting or other social platform, all promote with a kind of form implanted by force, some also can strengthen linking up by the mode of ideal money, such pattern has many shortcomings: although the scope related to can expand, but the aim of social platform is communication exchange, but only rest on more plain aspect, lacked some and more goed deep into finer interaction.Man-to-man exchange way shows slightly tone patterns scarcity.In addition, receive message channel between user and compare limitation, and be battalion separately after all, set up effective interactive group and acquire a certain degree of difficulty.
Summary of the invention
It is unknowable that the present invention is intended to solve network user identity, and consumption demand is unknowable, and purchasing power is unknowable, in the face of the Internet covered the sky and the earth is promoted, and the problem being fed up with or directly ignoring.Make popularization more effectively more for.
The object of the invention is to be achieved through the following technical solutions:
A kind of network information promotion method, comprising: the step pushing the predetermined network information to website registered user.
Further, also comprise the steps:
The step of the member data of statistics registered user, described member data comprises electronic money data, shopping cash data, integration data, bean vermicelli incremental data, member's level data, member's empirical value data and good friend's incremental data, and this step specifically comprises:
The statistic procedure of electronic money data: the cash of registered user being supplemented with money is converted to electronic money data, and upgrade initial electronic money data, real-time statistics electronic money surplus and consumption;
Shopping cash data statistic procedure: the cash sum that in real-time statistics website, electronic business transaction pays, and upgrade initial shopping cash data;
The statistic procedure of integration data: real-time statistics registered user meets the first operand certificate of preset rules, by first operand according to being converted to integration volume residual, upgrade initial integration data, monitor the quantity sum of deduction integration when registered user buys article in station simultaneously, and add up average each unit interval in the prescribed time-limit obtain the quantity of integration;
The statistic procedure of bean vermicelli incremental data and good friend's incremental data: have the good friend's number having operation of reaching the standard grade within the prescribed time-limit that the bean vermicelli number of operation of reaching the standard grade and user have in the prescribed time-limit that real-time statistics registered user has, and upgrade initial good friend's incremental data and initial bean vermicelli incremental data;
The statistic procedure of member's level data: for promoting the second operand certificate of member's grade in real-time statistics registered user network operation, by described second operand according to being converted to member's empirical value, when member's empirical value reach member promote threshold value time, more recruit's grade;
Carry out the step of adding up rank according to member data, at interval of predetermined time, summation is weighted to member data, carry out sequence from big to small according to the numerical value obtained after weighted sum and obtain adding up rank;
To the step that registered user classifies, according to rank order, whole registered user is divided into some classification grades;
The described step pushing the predetermined network information to website registered user, according to the information of classification grade, pushes the network information suitable with this classification grade to registered user.
A kind of network information extension system, comprises transmission server: for pushing the predetermined network information to website registered user.
Further, described system also comprises:
The module of the member data of statistics registered user, described member data comprises electronic money data, shopping cash data, integration data, bean vermicelli incremental data, member's level data, member's empirical value data and good friend's incremental data, and this module specifically comprises:
The statistical module of electronic money data: it is converted to electronic money data for the cash of registered user being supplemented with money, and upgrade initial electronic money data, real-time statistics electronic money surplus and consumption;
Shopping cash data statistical module: its cash sum paid for electronic business transaction in real-time statistics website, and upgrade initial shopping cash data;
The statistical module of integration data: it meets the first operand certificate of preset rules for real-time statistics registered user, by first operand according to being converted to integration volume residual, upgrade initial integration data, monitor the quantity sum of deduction integration when registered user buys article in station simultaneously, and add up average each unit interval in the prescribed time-limit obtain the quantity of integration;
The statistical module of bean vermicelli incremental data and good friend's incremental data: have the good friend's number having operation of reaching the standard grade within the prescribed time-limit that the bean vermicelli number of operation of reaching the standard grade and user have in its prescribed time-limit had for real-time statistics registered user, and upgrade initial good friend's incremental data and initial bean vermicelli incremental data;
The statistical module of member's level data: its in real-time statistics registered user network operation for promoting the second operand certificate of member's grade, by described second operand according to being converted to member's empirical value, when member's empirical value reach member promote threshold value time, more recruit's grade;
Carry out the module of adding up rank according to member data, it is for being weighted summation to member data within the predetermined time, carries out sequence from big to small obtain adding up rank according to the numerical value obtained after weighted sum;
To the module that registered user classifies, according to rank order, whole registered user is divided into some classification grades;
Described network information push module, it is for the information according to classification grade, and the registered user to this classification grade pushes the network information suitable with this classification grade.
The present invention classifies to registered user according to the member data constantly updated, and carries out information pushing accurately according to classification.The invention has the advantages that the Data acquisition, of diversification user, by the multiple operation of user in website, statistical analysis is carried out to multiple member data, judge the purchasing power of user, consumption demand, and consumer psychology and feature, carry out targetedly, efficient product promotion, makes user really can obtain the recommendation of the article that oneself needs, does not produce and be sick of psychology.The present invention enables businessman more comprehensively understand client can classify to the client of different demand and promote in batches when new product or New activity are released in website, the popularization cost greatly saved in operation process to help businessman, production cost and inventory cost.Make product more effective in the process promoted, more targetedly, make client more thoroughly deep to the understanding of website.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of embodiment of the present invention network information promotion method;
Fig. 2 is the invention process rank principle schematic;
Fig. 3 is the schematic diagram of embodiment of the present invention network information extension system;
Fig. 4 is the schematic diagram of the network information extension system of another embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing and preferred embodiment, the invention will be further described.
A kind of network information promotion method, comprising: the step pushing the predetermined network information to website registered user.
Concrete, the method also comprises: the step of the member data of statistics registered user, described member data comprises electronic money data, shopping cash data, integration data, bean vermicelli incremental data, member's level data, member's empirical value data and good friend's incremental data, and this step specifically comprises:
The statistic procedure of described electronic money data:
The cash of registered user being supplemented with money is converted to electronic money data, and upgrades initial electronic money data, real-time statistics electronic money surplus and consumption.
After registered user supplements with money on website, be automatically converted to electronic money data by backstage, website; The electronic money data correspondence of its corresponding account upgrades.When this registered user is after website is consumed, the electronic money of consumption is automatically from account deduction, and registered user can log in website at any time and check remaining electronic money quantity.Electronic money data also can reflect the purchasing power of registered user, and the electronic money data of supplementing with money are more, show that this registered user is stronger in the purchase intention of this website.
The statistic procedure of described shopping cash data:
The cash sum that in real-time statistics website, electronic business transaction pays, and upgrade initial shopping cash data.
The statistic procedure of described integration data:
Real-time statistics registered user meets the first operand certificate of preset rules; By first operand according to being converted to integration volume residual; Upgrade initial integration data; Monitor the quantity sum of deduction integration when registered user buys article in station simultaneously, and add up average each unit interval in the prescribed time-limit obtain the quantity of integration.
First operand is according to mainly following the operation behavior that consumption is relevant, and the number of times, the shopping amount of money etc. of such as user's shopping, integration mainly reflects the purchasing power of corresponding registered user, and integration is more, illustrates that the consuming capacity of this registered user is stronger.
The statistical method of described bean vermicelli incremental data and good friend's incremental data:
There is the good friend's number having operation of reaching the standard grade within the prescribed time-limit that the bean vermicelli number of operation of reaching the standard grade and user have in the prescribed time-limit that real-time statistics registered user has, and upgrade initial good friend's incremental data and initial bean vermicelli incremental data.
Bean vermicelli quantity and good friend's quantity represent the influence power of registered user in website, registered user may consume seldom, if but bean vermicelli quantity and good friend's number ratio more, be the consumer behavior that can have influence on a group of people, to information popularization, there is important value.
The described statistical method comprising member's level data:
For promoting the second operand certificate of member's grade in real-time statistics registered user network operation;
By described second operand according to being converted to member's empirical value;
When member's empirical value reach member promote threshold value time, more recruit's grade.
Second operand certificate mainly produces the operation of contribution to website, the time and number of times etc. of such as doing shopping, commodity being delivered to report of accessment and test, logging in website.Member's grade had both represented the contribution of registered user to website, also represent the viscosity of this registered user to website.Member's higher grade, represents this registered user more senior, illustrates that his (she) understanding to website is more deep.This user for the user that member's grade is low, the recommended information of number of site itself can be pushed, so that can be familiar with the operation of website as early as possible more.And for the high senior user of member's grade, just directly can push up-to-date added commodity, Discount Promotion information etc., the web sites function that some are being developed can also be pushed to these senior registered users and evaluate and test.
Describedly carry out adding up the method for rank according to member data and comprise:
Within the predetermined time summation is weighted to member data;
Carry out sequence from big to small according to weighted sum numerical value and obtain described statistics rank.
Described weighted sum numerical value=gold coin storage 20%+ gold coin consumes 25%+ store shopping 30%+ contribution and select storage 1%+ contribution and select and consume a 2%+ bean vermicelli quantity 2%+ member grade * 10000+ good friend quantity 10%+ member empirical value 5%+ contribution acquisition speed 5%.
a。Gold coin storage: for the account is by supplementing the gold coin volume residual of acquisition with money.
b。Gold coin consumes: for operating consumed gold coin quantity in the station that the account is all.
c。Do shopping in store: the cash sum paid for account store purchase product in station.
d。A contribution point storage: the contribution point volume residual that the operation specified by compound in station for the account is obtained.
e。Contribution point consumes: be account contribution point deduction quantity sum when buying store article.
f。Bean vermicelli quantity: for the account current had having in 30 days reach the standard grade operation bean vermicelli number.
g。Good friend's quantity: for the account current had having in 30 days reach the standard grade operation good friend's number.
h。Member's empirical value: for the account to post by reaching the standard grade the empirical value sum that task dispatching mode in station of having commented on obtains.
i。Member's grade: be the grade lifting that the account obtains by supplementing the modes such as store purchase and consumption gold coin of giving a present with money.
j。Contribution point obtains speed: be the contribution point quantity (contribution point is issued the modes such as photo issue paragraph obtain by being supplemented shopping consumption gold coin comment comment of posting of giving a present with money) obtained average every day in 30 days account.
System weighted sum numerical value gives the account personal value total value by carrying out once evaluation and test per hour to each account our station registered members, this value will store into this site databases, front 100 numerals of maximum absolute value are obtained by the data interaction of 6 contrast in morning every day, wherein front 10 total the maximum can according to order list view from big to small in the statistics rank of website homepage, statistics rank mainly shows personal value sum and corresponding name on account, front 100 total the maximum and first 10 adopt aligned identical mode to be presented in the web page interlinkage adding up rank.Website can be added up month personal value seniority among brothers and sisters and got maximum first 10 of upper website homepage ranking list account occurrence number every day and arrange from the order that as many as is few by number of times every month.
Statistics rank not only can be classified to registered user, so that benchmark pushes promotion message.Can also reward statistics rank user before examination, improve viscosity and the liveness of registered user.The such as account of front 10 and first 100 can obtain the exquisite gift (prize is the virtual objects such as gold coin or contribution point) sent website, obtain 10 maximum accounts of front 10 numbers of the personal value list every month and also acquisition is returned existing award (amount of money successively decreases successively by rank, and degradation factor is Geometric Sequence).Enforcement principle of the present invention can reference diagram 2, adopts the gold coin storage, gold coin consumption etc. of server to registered user to collect, calculate, compare, classify, arrange.For the registered user of the most forward (as the top 10) of rank, push high price luxury goods information; And (as front 11-100) registered user that rank is more forward, light luxurious product information can be pushed; And other registered users can push some economical favorable to the people information.
The unite technical scheme of weighted sum of the present invention can help purchasing power and the consumption demand of the better counting user in website, businessman is enable more comprehensively to understand client can classify to the client of different demand and promote in batches when new product or New activity are released in website, the popularization cost greatly saved in operation process to help businessman, production cost and inventory cost.Make product more effective in the process promoted, more targetedly, make client more thoroughly deep to the understanding of website.The invention has the advantages that the Data acquisition, of diversification user, by the multiple operation of user in website, statistical analysis is carried out to multiple member data, judge the purchasing power of user, consumption demand, and consumer psychology and feature, carry out targetedly, efficient product promotion, makes user really can obtain the recommendation of the article that oneself needs, does not produce and be sick of psychology.
The invention also discloses a kind of network information extension system.This network information extension system may be used for realizing network information promotion method of the present invention.Described network information extension system comprises network information push module, and it is for pushing the predetermined network information to website registered user.
More specifically, described statistical server also comprises with lower device:
The device (hereinafter referred to as statistic device 10) of the member data of statistics registered user, described member data comprises electronic money data, shopping cash data, integration data, bean vermicelli incremental data, member's level data, member's empirical value data and good friend's incremental data, and this module specifically comprises:
The statistical module 11 of electronic money data: it is converted to electronic money data for the cash of registered user being supplemented with money, and upgrade initial electronic money data, real-time statistics electronic money surplus and consumption;
Shopping cash data statistical module 12: its cash sum paid for electronic business transaction in real-time statistics website, and upgrade initial shopping cash data;
The statistical module 13 of integration data: it meets the first operand certificate of preset rules for real-time statistics registered user, by first operand according to being converted to integration volume residual, upgrade initial integration data, monitor the quantity sum of deduction integration when registered user buys article in station simultaneously, and add up average each unit interval in the prescribed time-limit obtain the quantity of integration;
The statistical module 14 of bean vermicelli incremental data and good friend's incremental data: have the good friend's number having operation of reaching the standard grade within the prescribed time-limit that the bean vermicelli number of operation of reaching the standard grade and user have in its prescribed time-limit had for real-time statistics registered user, and upgrade initial good friend's incremental data and initial bean vermicelli incremental data;
The statistical module 15 of member's level data: its in real-time statistics registered user network operation for promoting the second operand certificate of member's grade, by described second operand according to being converted to member's empirical value, when member's empirical value reach member promote threshold value time, more recruit's grade;
Carry out the module 16 of adding up rank according to member data, it is for being weighted summation to member data within the predetermined time, carries out sequence from big to small obtain adding up rank according to the numerical value obtained after weighted sum;
To the module 17 that registered user classifies, according to rank order, whole registered user is divided into some classification grades;
Described network information push module 18, it is for the information according to classification grade, and the registered user to this classification grade pushes the network information suitable with this classification grade.
Optionally, network information extension system comprises:
Statistical server 21: for adding up the member data of registered user;
Ranking server 22: for carrying out statistics rank according to member data;
Classified service device 23: for classifying to registered user according to ranking result;
Send server 24: for pushing the adaptive network information according to classified information to registered user;
Described member data at least comprises a kind of data in electronic money data, shopping cash data, integration data, bean vermicelli incremental data, member's level data, member's empirical value data and good friend's incremental data.
Above content is in conjunction with concrete preferred implementation further description made for the present invention, can not assert that specific embodiment of the invention is confined to these explanations.For general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, some simple deduction or replace can also be made, all should be considered as belonging to protection scope of the present invention.
Claims (4)
1. a network information promotion method, is characterized in that, comprising: the step pushing the predetermined network information to website registered user.
2. network information promotion method according to claim 1, is characterized in that, also comprise the steps:
The step of the member data of statistics registered user, described member data comprises electronic money data, shopping cash data, integration data, bean vermicelli incremental data, member's level data, member's empirical value data and good friend's incremental data, and this step specifically comprises:
The statistic procedure of electronic money data: the cash of registered user being supplemented with money is converted to electronic money data, and upgrade initial electronic money data, real-time statistics electronic money surplus and consumption;
Shopping cash data statistic procedure: the cash sum that in real-time statistics website, electronic business transaction pays, and upgrade initial shopping cash data;
The statistic procedure of integration data: real-time statistics registered user meets the first operand certificate of preset rules, by first operand according to being converted to integration volume residual, upgrade initial integration data, monitor the quantity sum of deduction integration when registered user buys article in station simultaneously, and add up average each unit interval in the prescribed time-limit obtain the quantity of integration;
The statistic procedure of bean vermicelli incremental data and good friend's incremental data: have the good friend's number having operation of reaching the standard grade within the prescribed time-limit that the bean vermicelli number of operation of reaching the standard grade and user have in the prescribed time-limit that real-time statistics registered user has, and upgrade initial good friend's incremental data and initial bean vermicelli incremental data;
The statistic procedure of member's level data: for promoting the second operand certificate of member's grade in real-time statistics registered user network operation, by described second operand according to being converted to member's empirical value, when member's empirical value reach member promote threshold value time, more recruit's grade;
Carry out the step of adding up rank according to member data, at interval of predetermined time, summation is weighted to member data, carry out sequence from big to small according to the numerical value obtained after weighted sum and obtain adding up rank;
To the step that registered user classifies, according to rank order, whole registered user is divided into some classification grades;
The described step pushing the predetermined network information to website registered user, according to the information of classification grade, pushes the network information suitable with this classification grade to registered user.
3. a network information extension system, is characterized in that, comprising: network information push module, and it is for pushing the predetermined network information to website registered user.
4. network information extension system according to claim 1, is characterized in that, also comprises as lower module:
The module of the member data of statistics registered user, described member data comprises electronic money data, shopping cash data, integration data, bean vermicelli incremental data, member's level data, member's empirical value data and good friend's incremental data, and this module specifically comprises:
The statistical module of electronic money data: it is converted to electronic money data for the cash of registered user being supplemented with money, and upgrade initial electronic money data, real-time statistics electronic money surplus and consumption;
Shopping cash data statistical module: its cash sum paid for electronic business transaction in real-time statistics website, and upgrade initial shopping cash data;
The statistical module of integration data: it meets the first operand certificate of preset rules for real-time statistics registered user, by first operand according to being converted to integration volume residual, upgrade initial integration data, monitor the quantity sum of deduction integration when registered user buys article in station simultaneously, and add up average each unit interval in the prescribed time-limit obtain the quantity of integration;
The statistical module of bean vermicelli incremental data and good friend's incremental data: have the good friend's number having operation of reaching the standard grade within the prescribed time-limit that the bean vermicelli number of operation of reaching the standard grade and user have in its prescribed time-limit had for real-time statistics registered user, and upgrade initial good friend's incremental data and initial bean vermicelli incremental data;
The statistical module of member's level data: its in real-time statistics registered user network operation for promoting the second operand certificate of member's grade, by described second operand according to being converted to member's empirical value, when member's empirical value reach member promote threshold value time, more recruit's grade;
Carry out the module of adding up rank according to member data, it is for being weighted summation to member data within the predetermined time, carries out sequence from big to small obtain adding up rank according to the numerical value obtained after weighted sum;
To the module that registered user classifies, according to rank order, whole registered user is divided into some classification grades;
Described network information push module, it is for the information according to classification grade, and the registered user to this classification grade pushes the network information suitable with this classification grade.
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| CN201610016863.7A CN105516353B (en) | 2016-01-06 | 2016-01-06 | A kind of network information promotion method and system |
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| CN201610016863.7A CN105516353B (en) | 2016-01-06 | 2016-01-06 | A kind of network information promotion method and system |
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| CN105913284A (en) * | 2016-05-03 | 2016-08-31 | 无锡雅座在线科技发展有限公司 | Message push method and device |
| CN106130871A (en) * | 2016-06-06 | 2016-11-16 | 腾讯科技（深圳）有限公司 | The method for pushing of information and device |
| CN106326354A (en) * | 2016-08-09 | 2017-01-11 | 北京创锐文化传媒有限公司 | User grade analysis method and device |
| CN106934051A (en) * | 2017-03-16 | 2017-07-07 | 北京搜狐新媒体信息技术有限公司 | The information processing method and system of a kind of website |
| CN109829760A (en) * | 2019-01-28 | 2019-05-31 | 深圳市遇住信息科技有限公司 | A kind of member's intelligent management system and method |
| CN109862057A (en) * | 2017-11-30 | 2019-06-07 | 北京嘀嘀无限科技发展有限公司 | Run method for pushing, device, server and computer readable storage medium |
| CN111612518A (en) * | 2020-04-11 | 2020-09-01 | 上海淇玥信息技术有限公司 | Advertisement delivery data management method and platform based on user synchronization and electronic equipment |
| TWI786331B (en) * | 2019-03-08 | 2022-12-11 | 開曼群島商創新先進技術有限公司 | Shopping mall management system, shopping mall management method, computing device, and non-transitory machine-readable storage medium |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105913284A (en) * | 2016-05-03 | 2016-08-31 | 无锡雅座在线科技发展有限公司 | Message push method and device |
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| CN106326354A (en) * | 2016-08-09 | 2017-01-11 | 北京创锐文化传媒有限公司 | User grade analysis method and device |
| CN106934051A (en) * | 2017-03-16 | 2017-07-07 | 北京搜狐新媒体信息技术有限公司 | The information processing method and system of a kind of website |
| CN109862057A (en) * | 2017-11-30 | 2019-06-07 | 北京嘀嘀无限科技发展有限公司 | Run method for pushing, device, server and computer readable storage medium |
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| CN111612518A (en) * | 2020-04-11 | 2020-09-01 | 上海淇玥信息技术有限公司 | Advertisement delivery data management method and platform based on user synchronization and electronic equipment |
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| Publication number | Publication date |
|---|---|
| CN105516353B (en) | 2018-12-25 |
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