CN108492146A

CN108492146A - Preferential value calculating method, server-side and client based on user-association behavior

Info

Publication number: CN108492146A
Application number: CN201810292177.1A
Authority: CN
Inventors: 金凯民
Original assignee: Word Of Mouth (beijing) Network Technology Co Ltd
Current assignee: Word Of Mouth (beijing) Network Technology Co Ltd
Priority date: 2018-03-30
Filing date: 2018-03-30
Publication date: 2018-09-04

Abstract

The invention discloses a kind of preferential value calculating methods and device based on user-association behavior.Wherein, method includes：User-association behavior of the recording needle to businessman or commodity；It obtains and the relevant correlation behavior parameter of user-association behavior；According to correlation behavior parameter, preferential value is calculated, is used when generating consumer behavior to businessman or commodity for user.Based on technical solution provided by the invention, it can realize the win-win of consumer and businessman, user can be encouraged to be consumed to shop by providing preferential value to user, to keep potential customers here for businessman, avoid the loss of potential customers, promote merchant profit, additionally it is possible to reduce user's spending, realize thousand people of the amount of money, thousand face that purchase commodity are paid.

Description

Preferential value calculating method, server-side and client based on user-association behavior

Technical field

The present invention relates to Internet technical fields, and in particular to a kind of preferential value calculating side based on user-association behavior Method, server-side and client.

Background technology

Current consumption pattern includes mainly consuming and being consumed under line on line, however, consumption is different from consuming on line under line Place is, after the desire for consumer goods is excited, due to the limitation of objective condition, user tends not to consume to shop at once.For quotient For family, potential customers do not consume to shop for a long time, it is easy to cause the loss of potential customers.

In order to overcome the above problem, Amazon to be proposed Amazon wish list, temporarily can not when user likes certain commodity When purchase, it can help user when having purchasing power using wish list, be quickly found out commodity and bought, or pass through Social networks allows friend to help and buys.However, this form is relatively simple, the good interaction of user and businessman can not be formed.With Family sends it by client, to server-side and wants the commodity of purchase, after server-side receives request, only records corresponding quotient Product information, it is interactive there is no being carried out between user, it is not given to user and rewards accordingly.

In addition, businessman can be arranged on Platform Server and purchase by group the mode of price user, user be attracted to pass through client Access platform, Platform Server are illustrated in the client of user by price is purchased by group, although purchasing by group price by setting can attract User, but for all users, the amount of money that purchase commodity are paid is identical, cannot achieve thousand people, thousand face.

Invention content

In view of the above problems, it is proposed that the present invention overcoming the above problem in order to provide one kind or solves at least partly State preferential value calculating method, server-side and the client based on user-association behavior of problem.

According to an aspect of the present invention, a kind of preferential value calculating method based on user-association behavior, including：

User-association behavior of the recording needle to businessman or commodity；

It obtains and the relevant correlation behavior parameter of user-association behavior；

According to correlation behavior parameter, preferential value is calculated, is used when generating consumer behavior to businessman or commodity for user.

Optionally, after recording needle is to the user-association behavior of businessman or commodity, method further includes：Recording needle is to businessman Or the user of commodity promotes behavior, obtains and promotes the relevant popularization behavioral parameters of behavior with user；

According to correlation behavior parameter, calculating preferential value is specially：According to correlation behavior parameter and behavioral parameters are promoted, are calculated Preferential value.

Optionally, correlation behavior parameter includes：Interaction duration or interaction times；

Interacting duration is specially：For businessman or the interactive duration of commodity between user and platform；

Interaction times are specially：For businessman or the interactive number of commodity between user and platform.

Optionally, promoting behavioral parameters includes：It promotes number or promotes duration；

Promoting number is specially：User promotes the number of businessman or commodity；

Promoting duration is specially：User promotes the duration of businessman or commodity.

Optionally, it is obtaining with after the relevant correlation behavior parameter of user-association behavior, method further includes：It obtains preferential It is worth calculating parameter；

According to correlation behavior parameter, calculates preferential value and further comprise：

According to correlation behavior parameter and preferential value calculating parameter, preferential value is calculated.

Optionally, preferential value calculating parameter includes one or more in following information：Consume probability, trade company is expected to receive The behavior score of benefit, platform reward mechanism, last correlation behavior.

Optionally, it according to correlation behavior parameter and preferential value calculating parameter, calculates preferential value and further comprises：

According to trade company's prospective earnings, the behavior score of platform reward mechanism and/or last correlation behavior, this pass is calculated The initial preferential value that connection behavior generates；

According to interaction duration or interaction times and consumption probability, trade company's prospective earnings, platform reward mechanism and/or last time The behavior score of correlation behavior calculates the preferential value of interaction；

According to initial preferential value and the preferential value of interaction, preferential value is calculated.

Optionally, according to initial preferential value and the preferential value of interaction, before calculating preferential value, method further includes：

According to popularization number or promote duration and trade company's prospective earnings, platform reward mechanism and/or last correlation behavior Behavior score, calculate and promote preferential value；

According to initial preferential value and the preferential value of interaction, calculates preferential value and further comprise：

According to initial preferential value, the preferential value of interaction and preferential value is promoted, calculates preferential value.

Optionally, method further includes：After the consumption of preferential value, the behavior score of this correlation behavior is calculated.

Optionally, the behavior score for calculating this correlation behavior further comprises：

The evaluation quality score value of this consumption is calculated according to customer consumption evaluation；

The behavior score of this correlation behavior is calculated according to evaluation quality score value and anti-cheating score value.

Optionally, probability is consumed according to the consumption determine the probability of similar users or obtained according to neural computing；

Trade company's prospective earnings are determined according to the evaluation profit margin of trade company's profit margin and industry.

In accordance with a further aspect of the present invention, a kind of computing device is provided, including：Processor, memory, communication interface and Communication bus, processor, memory and communication interface complete mutual communication by communication bus；

For memory for storing an at least executable instruction, it is above-mentioned based on user-association that executable instruction makes processor execute The corresponding operation of preferential value calculating method of behavior.

In accordance with a further aspect of the present invention, a kind of computer storage media is provided, at least one is stored in storage medium Executable instruction, executable instruction make processor execute the above-mentioned corresponding behaviour of preferential value calculating method based on user-association behavior Make.

In accordance with a further aspect of the present invention, a kind of preferential value calculating method based on user-association behavior is provided, including：

Preferential value calculating parameter is determined according to user-association behavior；

According to preferential value calculating parameter, preferential value is calculated, is used when generating consumer behavior to businessman or commodity for user.

Optionally, preferential value calculating parameter includes：Correlation behavior duration, alternatively, correlation behavior duration and trade company are expected The behavior score of income, platform reward mechanism and/or last correlation behavior.

The user-association behavior for businessman or commodity is received, and user-association behavior is reported into server-side, for clothes End be engaged according to the preferential value of user-association behavior calculating；

Obtain the preferential value that server-side returns；

When generating consumer behavior for businessman or commodity, settled accounts using preferential value.

Optionally, after receiving for the user-association behavior of businessman or commodity, method further includes：It receives and is directed to businessman Or the user of commodity promotes behavior, and user's popularization behavior is reported into server-side, so that server-side promotes behavior according to user Calculate preferential value.

In accordance with a further aspect of the present invention, a kind of client is provided, including：

Receiving module is suitable for receiving the user-association behavior for businessman or commodity；

Reporting module, suitable for user-association behavior is reported to server-side, so that server-side is according to user-association behavior meter Calculate preferential value；

Acquisition module is suitable for obtaining the preferential value that server-side returns；

Settlement module is settled accounts when being suitable for generating consumer behavior for businessman or commodity using preferential value.

Optionally, receiving module is further adapted for：It receives and promotes behavior for businessman or the user of commodity；

Reporting module is further adapted for：User's popularization behavior is reported into server-side, so that server-side is promoted according to user Behavior calculates preferential value.

In accordance with a further aspect of the present invention, a kind of server-side is provided, including：

Logging modle is suitable for user-association behavior of the recording needle to businessman or commodity；

Acquisition module is suitable for obtaining and the relevant correlation behavior parameter of user-association behavior；

Computing module is suitable for, according to correlation behavior parameter, calculating preferential value, so that user generates consumption to businessman or commodity It is used when behavior.

Optionally, logging modle is further adapted for：Recording needle promotes behavior to the user of businessman or commodity；

Acquisition module is further adapted for：It obtains and promotes the relevant popularization behavioral parameters of behavior with user；

Computing module is particularly adapted to：According to correlation behavior parameter and behavioral parameters are promoted, calculate preferential value.

Optionally, acquisition module is further adapted for：Obtain preferential value calculating parameter；

Computing module is further adapted for：According to correlation behavior parameter and preferential value calculating parameter, preferential value is calculated.

Optionally, computing module is further adapted for：

Optionally, computing module is further adapted for：After the consumption of preferential value, the behavior score of this correlation behavior is calculated.

Optionally, computing module is further adapted for：

In accordance with a further aspect of the present invention, a kind of preferential value computing system based on user-association behavior is provided, including： Above-mentioned server-side and above-mentioned client.

Determining module, suitable for determining preferential value calculating parameter according to user-association behavior；

Computing module is suitable for, according to preferential value calculating parameter, calculating preferential value, so that user disappears to businessman or commodity generation It is used when expense behavior.

Optionally, computing module is further adapted for：

According to another aspect of the invention, a kind of preferential value computing system based on user-association behavior is provided, including： Above-mentioned server-side and above-mentioned client.

According to scheme provided by the invention, user-association behavior of the recording needle to businessman or commodity；Acquisition and user-association The relevant correlation behavior parameter of behavior；According to correlation behavior parameter, preferential value is calculated, so that user disappears to businessman or commodity generation It is used when expense behavior.Based on technical solution provided by the invention, the win-win of consumer and businessman can be realized, by being sent out to user Putting preferential value can encourage user to be consumed to shop, to keep potential customers here for businessman, avoid the loss of potential customers, carry Rise merchant profit, additionally it is possible to reduce user's spending, realize thousand people of the amount of money, thousand face that purchase commodity are paid.

Above description is only the general introduction of technical solution of the present invention, in order to better understand the technical means of the present invention, And can be implemented in accordance with the contents of the specification, and in order to allow above and other objects of the present invention, feature and advantage can It is clearer and more comprehensible, below the special specific implementation mode for lifting the present invention.

Description of the drawings

By reading the detailed description of hereafter preferred embodiment, various other advantages and benefit are common for this field Technical staff will become clear.Attached drawing only for the purpose of illustrating preferred embodiments, and is not considered as to the present invention Limitation.And throughout the drawings, the same reference numbers will be used to refer to the same parts.In the accompanying drawings：

Fig. 1 shows the flow of the preferential value calculating method according to an embodiment of the invention based on user-association behavior Schematic diagram；

Fig. 2 shows the streams of the preferential value calculating method in accordance with another embodiment of the present invention based on user-association behavior Journey schematic diagram；

Fig. 3 shows the stream of the preferential value calculating method based on user-association behavior according to another embodiment of the invention Journey schematic diagram；

Fig. 4 shows the stream of the preferential value calculating method based on user-association behavior according to another embodiment of the invention Journey schematic diagram；

Fig. 5 shows the structural schematic diagram of server-side according to an embodiment of the invention；

Fig. 6 shows the structural schematic diagram of server-side according to an embodiment of the invention；

Fig. 7 shows the structural schematic diagram of client according to an embodiment of the invention；

Fig. 8 shows a kind of structural schematic diagram of computing device according to an embodiment of the invention.

Specific implementation mode

The exemplary embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the disclosure in attached drawing Exemplary embodiment, it being understood, however, that may be realized in various forms the disclosure without should be by embodiments set forth here It is limited.On the contrary, these embodiments are provided to facilitate a more thoroughly understanding of the present invention, and can be by the scope of the present disclosure Completely it is communicated to those skilled in the art.

Fig. 1 shows the flow of the preferential value calculating method according to an embodiment of the invention based on user-association behavior Schematic diagram.As shown in Figure 1, this approach includes the following steps：

Step S100, user-association behavior of the recording needle to businessman or commodity.

Wherein, user-association behavior is the behavior that user generates for businessman or commodity, for example, between user and platform For businessman or the mutual-action behavior of commodity, other behaviors are may also contain certainly, for example, customer consumption wish behavior, wherein use Family consumption wish behavior, which embodies user and has, to be intended to businessman's consumption or buys commodity intentionally, that is to say, that expresses user's Wish is consumed, is only simply to enumerate here, does not have any restriction effect.

Step S101 is obtained and the relevant correlation behavior parameter of user-association behavior.

After recording needle is to the user-association behavior of businessman or commodity, by being obtained to user-association behavior is for statistical analysis To with the relevant correlation behavior parameter of user-association behavior, obtain with the relevant correlation behavior parameter of user-association behavior, here Correlation behavior parameter embody the interactive situation between user and platform.

Step S102 calculates preferential value according to correlation behavior parameter, so that user generates consumer behavior to businessman or commodity When use.

It is getting with after the relevant correlation behavior parameter of user-association behavior, can counted according to correlation behavior parameter Preferential value is calculated, which can use when user generates consumer behavior to corresponding businessman or commodity, and specifically, this is preferential Value can be converted to cash deduction, for example, it is 10 yuan that the preferential value that user is obtained, which is calculated, by the above method, user's purchase It buys commodity and takes 100 yuan, preferential value can be converted into cash deduction, and user, which only needs to pay 90 yuan again, can be obtained commodity, In, preferential value specifically can be in the form of bonus or discount coupon, coupons form are issued to user, further, it is also possible to directly Commodity are exchanged using preferential value, the use form of preferential value is not specifically limited here.

According to the method that the above embodiment of the present invention provides, user-association behavior of the recording needle to businessman or commodity；It obtains With the relevant correlation behavior parameter of user-association behavior；According to correlation behavior parameter, calculate preferential value, for user to businessman or Commodity use when generating consumer behavior.Based on technical solution provided by the invention, the win-win of consumer and businessman can be realized, lead to Crossing to the preferential value of user's granting can encourage user to be consumed to shop, to keep potential customers here for businessman, avoid potential visitor The loss at family promotes merchant profit, additionally it is possible to reduce user's spending, realize thousand people of the amount of money, thousand face that purchase commodity are paid.

Fig. 2 shows the streams of the preferential value calculating method in accordance with another embodiment of the present invention based on user-association behavior Journey schematic diagram.As shown in Fig. 2, this approach includes the following steps：

Step S200, recording needle promote behavior to the user-association behavior of businessman or commodity and user.

Wherein, user-association behavior includes the behavior of customer consumption wish and user mutual behavior, customer consumption wish behavior It embodies user and has and be intended to businessman's consumption or buy commodity intentionally, that is to say, that the consumption wish for expressing user, in this hair In bright embodiment, the behavior of customer consumption wish can be presented as that user pays close attention to businessman, collection businessman, subscribes to businessman, adds commodity Enter shopping cart, subscribe to commodity, collecting commodities etc., it can be understood as user plants grass businessman or commodity, is merely illustrative of here, Without any restriction effect；User mutual behavior is the mutual-action behavior for businessman or commodity between user and platform, for example, User browses the shop homepage or commodity of the businessman, or opens the shop homepage etc. of businessman, the interactive meeting between user and platform So that the desire for consumer goods of user is vigorously grown, that is, grows grass.

Wherein, kind grass indicates that user likes having gone up businessman or commodity；It grows grass after expression kind grass, the desire for consumer goods of user is flourishing Growth；After growing grass, user may will produce uprooting weed behavior, and uprooting weed indicates user to the businessman's consumption grown grass or has purchased kind The commodity of grass.

In embodiments of the present invention, user can enter platform homepage by client, and platform can pass through its personalization Algorithm recommends businessman to user, and for different users, the businessman that platform is recommended will be different, and user is by entering quotient The homepage of family by concern businessman or collection businessman or subscribes to businessman or shopping cart is added in commodity or subscribes to commodity or collects quotient Product etc. come kind careless businessman or a commodity, can be here user it is spontaneous into the homepage of businessman in platform or through other users Recommend the homepage for entering businessman in platform, plant careless businessman or commodity, kind of careless businessman or a commodity, example can be come with other modes certainly Such as search for businessman or commodity.

Further, it is also possible to plant careless businessman or commodity in the following manner：User sees the businessman preferred when going window-shopping Or commodity, the shop Quick Response Code of client scan businessman can be utilized to enter the homepage of businessman, plant careless businessman or commodity.

By kind of careless businessman or a commodity, the consumption wish of user is expressed, after user plants careless businessman or commodity, needs reality When user-association behavior of the recording needle to businessman or commodity, in addition, user is also possible to businessman or commercial product recommending to other users, Therefore, after recording needle is to the user-association behavior of businessman or commodity, recording needle is also needed to promote the user of businessman or commodity Behavior.

Step S201, obtains with the relevant correlation behavior parameter of user-association behavior and behavior is relevant pushes away with user's popularization Wide behavioral parameters.

After recording needle is to the user-association behavior and user's popularization behavior of businessman or commodity, respectively to user-association behavior And user promotes that behavior is for statistical analysis to be obtained with the relevant correlation behavior parameter of user-association behavior and promote with user to go For relevant popularization behavioral parameters, obtains correlation behavior parameter and promote behavioral parameters, correlation behavior parameter here embodies Interactive situation between user and platform promotes behavioral parameters and embodies popularization situation of the user to businessman or commodity.

Wherein, correlation behavior parameter includes：Interaction duration or interaction times；Interaction times are specially：User and platform it Between for businessman or commodity interactive number；Interacting duration is specially：For the interaction of businessman or commodity between user and platform Duration, that is to say, that interactive duration can just be calculated by having carried out interaction for businessman or commodity between user and platform, in addition, mutually Dynamic duration, interactive number are just to proceed by statistics after customer consumption wish behavior generation to calculate, in the embodiment of the present invention In, by taking the unit interval is 1 day as an example, if user in kind grass businessman or commodity on March 1st, 2018, March 2,3 days, 5 days, Interaction has been carried out for businessman or commodity between user and platform, and be not directed to businessman or commodity progress interaction on March 4, then has been handed over Mutual duration be 3 days, that is to say, that interactive duration is obtained based on the interaction for being directed to businessman or commodity between user and platform , rather than user plants the accumulation of the natural time after careless businessman or commodity.

Promoting behavioral parameters includes：It promotes number or promotes duration；Promoting number is specially：User promotes businessman or commodity Number；Promoting duration is specially：User promotes the duration of businessman or commodity, that is to say, that user promotes businessman or commodity Popularization duration can be calculated, wherein it is just to proceed by statistics after customer consumption wish behavior generation to promote duration, promote number Calculate, in embodiments of the present invention, by the unit interval be 1 day for, if user on March 1st, 2018 kind grass businessman or Commodity, March 2,3 days, 5 days, user promoted businessman or commodity, and March 4 did not promoted, then it is 3 days to promote duration to be, That is, it is that the behavior based on user popularization businessman or commodity obtains to promote duration.

In embodiments of the present invention, between user and platform businessman is promoted for the interaction of businessman or commodity and user Or commodity can obtain preferential value (also known as grow grass gold), and user promotes the behavior of businessman or commodity, is to businessman or quotient Being publicized without charge for product, can save the advertising expenditure of businessman, in addition, the popularization behavior of user can be realized to potential customers' It wakes up, promotes the income of businessman, while also improving the utilization rate of platform, publicized for platform.

Step S202 obtains preferential value calculating parameter.

The relevant correlation behavior parameter of user-association behavior is obtained in step S201 and promotes that behavior is relevant to be pushed away with user After wide behavioral parameters, preferential value calculating parameter can also be obtained, wherein preferential value calculating parameter includes one in following information Kind is a variety of：The behavior score of consumption probability, trade company's prospective earnings, platform reward mechanism, last correlation behavior.Wherein, quotient Family prospective earnings are determined according to the evaluation profit margin of trade company's profit margin and industry.

In embodiments of the present invention, it can be obtained according to the consumption determine the probability of similar users or according to neural computing Consume probability, wherein the consumption determine the probability consumption probability according to similar users is implemented as follows：It, can for each user With according to user data, for example, age, gender, address, preference etc., structuring user's are drawn a portrait, and each user is corresponding with uniquely User draws a portrait, and can be drawn a portrait according to user and determine the similar users of the user, the consumption probability of similar users then be determined, by phase Like consumption probability of the mean value as the user of the consumption probability of user, wherein the consumption probability of similar users can be according to phase Be calculated like the user characteristics and businessman feature/product features of user, user characteristics be extracted from user data with Relevant data are consumed, for example, subscriber household address/CompanyAddress, preference, history spending amount etc., businessman feature can be Level, seller addresses, affiliated style of cooking etc. are consumed, consumption probability is determined by the matching degree of user characteristics and businessman feature, for example, User preference Hunan cuisine, and the affiliated style of cooking of businessman is Shandong cuisine, then it is relatively low to set the consumption probability that user consumes to businessman, for another example It is 100 yuan/people that businessman, which consumes level, and the consumption of the history of user is 50 yuan/people, then it is general to set the consumption that user consumes to businessman Rate is relatively low, is merely illustrative of here, does not have any restriction effect.

Consumption probability is obtained according to neural computing to be implemented as follows：Neural network is to be based on a large amount of sample data What training obtained, the input of the neural network is user characteristics, businessman feature, is exported to consume probability, by the user of the user Feature and the businessman feature of the careless businessman of kind are input to neural network and can obtain the consumption probability that the user consumes to businessman.

Platform reward mechanism is the considerations of platform is promoted for itself and the reward mechanism set, platform release work of growing grass Dynamic, businessman can participate in the activity of growing grass of platform release, and for the activity of growing grass, platform can be directed to and participate in movable quotient of growing grass Family is subsidized or is charged, wherein is subsidized and is taken out part money for platform oneself, user is issued in the form of preferential value, charges Refer to platform and collect certain expense to businessman, user will be issued in the form of preferential value to businessman's fee charged.If platform Businessman is subsidized, then the corresponding numerical value of setup parameter platform reward mechanism is positive number, is directed to platform and is mended to businessman Patch, can properly increase the preferential value provided to user；If platform charges to businessman, setup parameter platform reward mechanism Corresponding numerical value is negative, is directed to platform and charges to businessman, can suitably reduce the preferential value provided to user.Platform Bonus policy can also be set, for example, the reward time, for example, set the reward time as -2018 years on the 1st 3 March in 2018 The moon 31, after rewarding the time, platform will be provided no longer to user and be rewarded, the preferential value main source that user is obtained later In businessman.

It is high-quality user or user inferior that the behavior score of last correlation behavior, which can be used for distinguishing user, for excellent Matter user and user inferior, the preferential value provided in embodiments of the present invention is different, for example, can be fitted for high-quality user When the preferential value for improving granting, and for user inferior, preferential value can not be provided to the user.

In embodiments of the present invention, step S202 is optional step, that is to say, that is closed obtaining user according to step S201 The relevant correlation behavior parameter of connection behavior and with user promote the relevant popularization behavioral parameters of behavior after, can be according to associated line For parameter and behavioral parameters are promoted, calculate preferential value.

In addition, recording needle promotes behavior to the user of businessman or commodity in the embodiment of the present invention, obtains to promote with user and go It is optional step for relevant popularization behavioral parameters, that is to say, that in user-association behavior of the recording needle to businessman or commodity, obtain Taking can join with the relevant correlation behavior parameter of user-association behavior after obtaining preferential value calculating parameter according to correlation behavior Several and preferential value calculating parameter, calculates preferential value.

Step S203, according to trade company's prospective earnings, the behavior score of platform reward mechanism and/or last correlation behavior, Calculate the initial preferential value of this correlation behavior generation.

Initial preferential value is that user plants the reward that user is given after careless businessman or commodity, can be expected receipts according to trade company here The behavior score of benefit, platform reward mechanism and/or last correlation behavior calculates the initial preferential of this correlation behavior generation Value.

In embodiments of the present invention, step S203 is optional step, that is to say, that can not calculate initial preferential value, i.e., Initial preferential value is 0, then after getting preferential value calculating parameter, can directly execute the method in step S204.

Step S204, according to interaction duration or interaction times and consumption probability, trade company's prospective earnings, platform reward mechanism And/or the behavior score of last correlation behavior, calculate the preferential value of interaction.

In embodiments of the present invention, interaction duration or interaction times are to calculate the important parameter of the preferential value of interaction, for drum Customer consumption is encouraged, excites enthusiasm interactive between user and platform, it is specified that the preferential value of interaction provided to user can be with user The growth of interaction duration or interaction times between platform and increase, that is, interaction duration and interacts preferential value at interaction times It is directly proportional.

For interaction duration, when having further specified free of discontinuities interactive between user and platform, user is obtained Preferential value it is higher, have no progeny between interactive between user and platform occurs when connecting again, the interaction that running days are obtained is excellent The amount of money of favour the value interactive preferential value of interaction obtained and the product for connecting the factor between last user and platform, illustrate It is bright, March 2,3 days, 5 days, interaction has been carried out for businessman or commodity between user and platform, and March 4 was not directed to businessman Or commodity carry out it is interactive, then user can obtain the preferential value of interaction March 2,3 days, 5 days, since 5 be connecing for interaction Continuous, therefore, interaction that the preferential value of interaction obtained for 5th was not obtained on 3rd preferential value on the basis of, increases again, The preferential value of interaction obtained for 3rd and the product for connecting the factor, wherein it is the numerical value less than 1 to connect the factor, and value range is (0,1), in addition, break time is longer, the numerical value for connecting the factor is smaller.

Further, it is also possible to provide that consumption probability is higher, the preferential value of interaction that user is obtained is higher；Trade company's prospective earnings are got over Height, the preferential value of interaction that user is obtained are higher.

In this step, following formula (1) may be used and calculate the preferential value of interaction：

Preferential value=the f of interaction (consumption probability, businessman's prospective earnings, platform reward mechanism, the behavior of last correlation behavior Score, interaction duration or interaction times) formula (1).

Step S205 according to popularization number or is promoted duration and trade company's prospective earnings, platform reward mechanism and/or last time The behavior score of correlation behavior calculates and promotes preferential value.

In embodiments of the present invention, it is to calculate the important parameter for promoting preferential value to promote number or promote duration, for drum User is encouraged by businessman or product promotion to other users, fully excavates potential customers, promotes merchant profit, it is specified that being provided to user The preferential value of popularization can promote the popularizations number of businessman or commodity with user or promote the growth of duration and increase, that is, popularization Number or popularization duration are directly proportional to preferential value is promoted.

For promoting duration, when having further specified user popularization businessman free of discontinuities or commodity, user is obtained Preferential value it is higher, when user promote have no progeny between businessman or commodity occur connect again when, the popularization that running days are obtained is preferential The product for promoting preferential value and the connecting factor that the amount of money of value promotes businessman for last user or commodity are obtained, illustrates Bright, March 2,3 days, 5 days, user promoted businessman or commodity, and does not promote businessman or commodity on March 4, then user is 3 Month 2 days, 3, the 5 preferential values that can put it over, since 5 be the connecting promoted, the popularization obtained on the 5th is preferential Increase again on the basis of popularization that value was not obtained on 3rd preferential value, the preferential value of the popularization obtained for 3rd with connect The product of the factor, wherein it is the numerical value less than 1 to connect the factor, and value range is (0,1), in addition, break time is longer, is connected The numerical value of the factor is smaller.

In this step, following formula (2) may be used and calculate the preferential value of popularization：

Promoting preferential value=f, (businessman's prospective earnings, platform reward mechanism, the behavior score of last correlation behavior are promoted Duration promotes number) formula (2).

Step S206 according to initial preferential value, the preferential value of interaction and promotes preferential value, preferential value is calculated, for user couple Businessman or commodity use when generating consumer behavior.

It, can be according to initial preferential value, the preferential value of interaction in initial preferential value, the preferential value of interaction and after promoting preferential value And preferential value is promoted, calculate preferential value, preferential value is initial preferential value, the sum of interacts preferential value and promotes preferential value, this is preferential Value can be used when user generates consumer behavior to corresponding businessman or commodity, and specifically, which can be converted to existing Gold deduction, for example, it is 10 yuan that the preferential value that user is obtained, which is calculated, by the above method, user buys commodity and takes 100 yuan, preferential value can be converted into cash deduction, and user, which only needs to pay 90 yuan again, can be obtained commodity, wherein preferential value is specific Can be in the form of bonus or discount coupon, coupons form are issued to user, in addition, in practical applications, it can also be directly Commodity are exchanged using preferential value, are merely illustrative of here, do not have any restriction effect.In addition, in order to fully ensure that businessman Interests, it is specified that all users provide preferential value be no more than businessman's prospective earnings half.

After the consumption of preferential value, the present invention also needs to calculate the behavior score of this correlation behavior, and step specifically may be used Method in rapid S207- steps S208 calculates the behavior score of this correlation behavior：

Step S207 calculates the evaluation quality score value of this consumption according to customer consumption evaluation.

It is to complete uprooting weed that user generates consumer behavior to businessman or commodity, can be to this consumption body after customer consumption It tests and is evaluated, the evaluation quality score value for calculating this consumption can be evaluated according to customer consumption here, wherein influence evaluation matter Amount score value principal element be user publication evaluation number of words number, linguistic organization it is whether smooth, whether carry picture, Regulation, the number of words of the evaluation of user's publication is more, linguistic organization is smooth, with picture, then evaluation quality score value is higher, otherwise more It is low.

Step S208 calculates the behavior score of this correlation behavior according to evaluation quality score value and anti-cheating score value.

Anti- cheating score value is used to determine whether user to be cheating user, thinks under normal conditions, customer consumption businessman's WIFI identify it is often identical as WIFI that user is often used mark, i.e. user and businessman often under same WIFI marking environments, Then think that the possibility that user is cheating user is relatively high, for another example the address of the common positioning address of user and businessman are apart Farther out, such as transprovincially, trans-city etc., then it is assumed that user be practise fraud user possibility it is relatively high.For often participating in work of growing grass Dynamic user, it is believed that user is that the possibility of cheating user is relatively high, can judge user in conjunction with other Rule of judgment Whether be cheating user, be merely illustrative of here, do not have any restriction effect, other can be judged with user user whether be The Rule of judgment of cheating user all belongs to the scope of protection of the present invention.

The behavior score for this correlation behavior being calculated, the preferential value that can be used for correlation behavior next time calculate. The behavior score of correlation behavior can be used in distinguishing user being high-quality user or user inferior, wherein the value model of behavior score It can be [0,1] to enclose, and can define a predetermined threshold value, such as 0.5, and behavior score is more than predetermined threshold value, it is believed that user is high-quality User, behavior score think that user is user inferior less than or equal to predetermined threshold value.

According to the method that the above embodiment of the present invention provides, user-association behavior and user of the recording needle to businessman or commodity Popularization behavior obtains with the relevant correlation behavior parameter of user-association behavior and promotes the relevant popularization behavior of behavior with user and joins Number, obtains preferential value calculating parameter, according to correlation behavior parameter, promotes parameter and preferential value calculating parameter, calculates preferential value, with It is used when generating consumer behavior to businessman or commodity for user.Based on technical solution provided by the invention, pass through the pass to user Preferential value is given in connection behavior, popularization behavior, can realize the win-win of consumer and businessman, platform, preferential by being provided to user Value can encourage user to be consumed to shop, and to keep potential customers here for businessman, user can be obtained by promoting businessman or commodity Obtain preferential value, additionally it is possible to reduce user in the consumer spending of businessman, realize thousand people of the amount of money, thousand face that purchase commodity are paid, use The popularization behavior at family is done propaganda for businessman, and the advertising expense of businessman can be saved, additionally it is possible to potential customers are fully excavated for businessman, The loss of potential customers is avoided, merchant profit is promoted, in addition, also improving the popularity of platform, businessman is promoted and enters platform Enter rate, bring economic interests for platform.

Fig. 3 shows the stream of the preferential value calculating method based on user-association behavior according to another embodiment of the invention Journey schematic diagram.As shown in figure 3, this approach includes the following steps：

Step S300, user-association behavior of the recording needle to businessman or commodity.

User-association behavior in the present embodiment is that a kind of consumption wish embodies, and being user has and be intended to businessman's consumption or have The behavior of meaning purchase commodity, for example, for the businessman of Opening soon, user gets home consumption intentionally；For the commodity of businessman's presell, User may buy the commodity intentionally, for example, for the film that will be shown, user gives expression to according to film introduction to be wanted to see Wish, user clicks " I wants to see " button, and being considered as user has corresponding consumption wish, user to click " I wants to see " etc. and press Button thinks that user plants grass businessman or commodity, for other presell commodity, it may be possible to user clicks " I wants to buy " button, Can be that user clicks " concern " or " collection " or " subscription " button or for businessman, to express consumption wish, for This class behavior, is recorded, and is merely illustrative of here, does not have any restriction effect.

Step S301 determines preferential value calculating parameter according to user-association behavior.

Preferential value calculating parameter is to calculate the reference frame of preferential value, therefore, in recording needle to the user of businessman or commodity After correlation behavior, need to determine preferential value calculating parameter according to user-association behavior, optionally, preferential value calculating parameter packet It includes：Correlation behavior duration, alternatively, correlation behavior duration and trade company's prospective earnings, platform reward mechanism and/or last association The behavior score of behavior.

For businessman's opening or presell commodity, the specific time can be all set, correlation behavior duration here refers to The time formally sold to businessman's opening or commodity from occurring user-association behavior stops, and for different users, generates use The time of family correlation behavior will be different, and therefore, difference can be realized using correlation behavior duration as preferential value calculating parameter The preferential value that is obtained of user it is different.

Step S302 calculates preferential value according to preferential value calculating parameter, so that user generates consumption row to businessman or commodity For when use.

After obtaining preferential value calculating parameter, preferential value can be calculated according to preferential value calculating parameter, the preferential value It can be used when user generates consumer behavior to corresponding businessman or commodity, specifically, which can be converted to cash Deduction, for example, it is 10 yuan that the preferential value that user is obtained, which is calculated, by the above method, user buys commodity and takes 100 Member, preferential value can be converted into cash deduction, and user, which only needs to pay 90 yuan again, can be obtained commodity, wherein preferential value specifically may be used By in the form of bonus or discount coupon, coupons form are issued to user, further, it is also possible to directly utilize preferential value exchange agent Product, for example, for food and drink trade company, preferential value is redeemed for the commodity such as drink, cake, and preferential value is made here It is not specifically limited with form.

Optionally, method further includes：After the consumption of preferential value, the behavior score of this correlation behavior is calculated.Specifically, may be used To calculate the evaluation quality score value of this consumption according to customer consumption evaluation；It is calculated according to evaluation quality score value and anti-cheating score value The behavior score of this correlation behavior.Implement the step S207- steps S208 in embodiment shown in Figure 2.

According to the method that the above embodiment of the present invention provides, user-association behavior of the recording needle to businessman or commodity；According to User-association behavior determines preferential value calculating parameter；According to preferential value calculating parameter, calculate preferential value, for user to businessman or Commodity use when generating consumer behavior.Based on technical solution provided by the invention, the win-win of consumer and businessman can be realized, lead to Crossing to the preferential value of user's granting can encourage user to be consumed to shop, to keep potential customers here for businessman, avoid potential visitor The loss at family promotes merchant profit, additionally it is possible to reduce user's spending, realize thousand people of the amount of money, thousand face that purchase commodity are paid.

Fig. 4 shows the stream of the preferential value calculating method based on user-association behavior according to another embodiment of the invention Journey schematic diagram.As shown in figure 4, this approach includes the following steps：

Step S400 receives the user-association behavior for businessman or commodity, and user-association behavior is reported to service End, so that server-side calculates preferential value according to user-association behavior.

Wherein, user-association behavior includes the behavior of customer consumption wish and user mutual behavior.Customer consumption wish behavior It embodies user and has and be intended to businessman's consumption or buy commodity intentionally, that is to say, that express the consumption wish of user, Yong Hujiao Mutual behavior is the mutual-action behavior for businessman or commodity between user and platform.

After user enters platform homepage by client, platform can recommend businessman by its personalized algorithm to user, For different users, the businessman that platform is recommended will be different, and user passes through by the homepage into businessman and clicks businessman The concern button or collection button or subscribe to button that homepage provides, realize concern businessman or collection businessman or subscribe to businessman, can be with Can be that user is spontaneous here by the way that shopping cart is added in commodity or subscribes to commodity or collecting commodities etc. come kind of careless businessman or a commodity Property the homepage for recommending to enter businessman in platform into the homepage of businessman in platform or through other users, plant careless businessman or quotient Product can come kind of careless businessman or a commodity, such as search businessman or commodity etc. with other modes certainly.

User is being monitored after client triggers user-association behavior, is receiving the user-association for businessman or commodity Behavior, and user-association behavior is reported into server-side, so that server-side calculates preferential value according to user-association behavior, wherein Server-side calculates the specific method process of preferential value referring to the method in Fig. 1 or embodiment illustrated in fig. 3 according to user-association behavior.

Step S401 obtains the preferential value that server-side returns.

Server-side returns to client after preferential value is calculated, by preferential value, and client obtains what server-side returned Preferential value, and user is showed, in embodiments of the present invention, each interaction of businessman or commodity is directed between user and platform, Preferential value will be provided to user, client shows the amount of money after accumulation to user, or is obtained to user's displaying Preferential value historical record.

Step S402 is settled accounts when generating consumer behavior for businessman or commodity using preferential value.

The preferential value can be used when user generates consumer behavior to corresponding businessman or commodity, and specifically, this is preferential Value can be converted to cash deduction, for example, it is 10 yuan that the preferential value that user is obtained, which is calculated, by the above method, user's purchase It buys commodity and takes 100 yuan, preferential value can be converted into cash deduction, and user, which only needs to pay 90 yuan again, can be obtained commodity, In, preferential value specifically can be in the form of bonus or discount coupon, coupons form are issued to user, in addition, in practical application In, directly preferential value can also be utilized to exchange commodity, be merely illustrative of here, not have any restriction effect.

When user thinks businessman or commodity are fine, therefore it is highly desirable to businessman or commodity are shared with other users, for example, user Friend can be sent it to, or shares businessman or goods links etc. in life range, this behavior is considered as user and promotes row For, it needs exist for receiving and promotes behavior for businessman or the user of commodity, and user's popularization behavior is reported into server-side, for Server-side promotes behavior according to user and calculates preferential value, wherein server-side promotes behavior according to user and calculates the specific of preferential value Method in procedure embodiment shown in Figure 2.

Fig. 5 shows the structural schematic diagram of server-side according to an embodiment of the invention.As shown in figure 5, the device packet It includes：Logging modle 500, acquisition module 510, computing module 520.

Logging modle 500 is suitable for user-association behavior of the recording needle to businessman or commodity.

Acquisition module 510 is suitable for obtaining and the relevant correlation behavior parameter of user-association behavior.

Computing module 520 is suitable for, according to correlation behavior parameter, calculating preferential value, so that user generates businessman or commodity It is used when consumer behavior.

Optionally, logging modle 500 is further adapted for：Recording needle promotes behavior to the user of businessman or commodity；

Acquisition module 510 is further adapted for：It obtains and promotes the relevant popularization behavioral parameters of behavior with user；

Computing module 520 is particularly adapted to：According to correlation behavior parameter and behavioral parameters are promoted, calculate preferential value.

Optionally, acquisition module 510 is further adapted for：Obtain preferential value calculating parameter；

Computing module 520 is further adapted for：According to correlation behavior parameter and preferential value calculating parameter, preferential value is calculated.

Optionally, computing module 520 is further adapted for：According to trade company's prospective earnings, platform reward mechanism and/or last time The behavior score of correlation behavior calculates the initial preferential value of this correlation behavior generation；

Optionally, computing module 520 is further adapted for：According to popularization number or popularization duration and trade company's prospective earnings, put down The behavior score of platform reward mechanism and/or last correlation behavior, calculates and promotes preferential value；

Optionally, computing module 520 is further adapted for：After the consumption of preferential value, the behavior score of this correlation behavior is calculated.

Optionally, computing module 520 is further adapted for：The evaluation quality point of this consumption is calculated according to customer consumption evaluation Value；

According to the device that the above embodiment of the present invention provides, user-association behavior of the recording needle to businessman or commodity；It obtains With the relevant correlation behavior parameter of user-association behavior；According to correlation behavior parameter, calculate preferential value, for user to businessman or Commodity use when generating consumer behavior.Based on technical solution provided by the invention, the win-win of consumer and businessman can be realized, lead to Crossing to the preferential value of user's granting can encourage user to be consumed to shop, to keep potential customers here for businessman, avoid potential visitor The loss at family promotes merchant profit, additionally it is possible to reduce user's spending, realize thousand people of the amount of money, thousand face that purchase commodity are paid.

Fig. 6 shows the structural schematic diagram of server-side according to an embodiment of the invention.As shown in fig. 6, the device packet It includes：Logging modle 600, determining module 610, computing module 620.

Logging modle 600 is suitable for user-association behavior of the recording needle to businessman or commodity.

Determining module 610, suitable for determining preferential value calculating parameter according to user-association behavior.

Computing module 620 is suitable for, according to preferential value calculating parameter, calculating preferential value, so that user produces businessman or commodity It is used when raw consumer behavior.

Optionally, computing module 620 is further adapted for：After the consumption of preferential value, the behavior score of this correlation behavior is calculated.

Optionally, computing module 620 is further adapted for：The evaluation quality point of this consumption is calculated according to customer consumption evaluation Value；

According to the server-side that the above embodiment of the present invention provides, user-association behavior of the recording needle to businessman or commodity；Root Preferential value calculating parameter is determined according to user-association behavior；According to preferential value calculating parameter, preferential value is calculated, so that user is to businessman Or it is used when commodity generation consumer behavior.Based on technical solution provided by the invention, the win-win of consumer and businessman can be realized, User can be encouraged to be consumed to shop by providing preferential value to user, to keep potential customers here for businessman, avoided potential The loss of client promotes merchant profit, additionally it is possible to reduce user's spending, realize thousand people thousand of the amount of money that purchase commodity are paid Face.

Fig. 7 shows the structural schematic diagram of client according to an embodiment of the invention.As shown in fig. 7, the device packet It includes：Receiving module 700, reporting module 710, acquisition module 720, settlement module 730.

Receiving module 700 is suitable for receiving the user-association behavior for businessman or commodity.

Reporting module 710, suitable for user-association behavior is reported to server-side, so that server-side is according to user-association behavior Calculate preferential value.

Acquisition module 720 is suitable for obtaining the preferential value that server-side returns.

Settlement module 730 is settled accounts when being suitable for generating consumer behavior for businessman or commodity using preferential value.

Optionally, receiving module 700 is further adapted for：It receives and promotes behavior for businessman or the user of commodity；

Reporting module 710 is further adapted for：User's popularization behavior is reported into server-side, so that server-side is pushed away according to user Wide behavior calculates preferential value.

The embodiment of the present invention additionally provides a kind of preferential value computing system based on user-association behavior, including：Above-mentioned clothes Business end and above-mentioned client.

The embodiment of the present invention additionally provides a kind of nonvolatile computer storage media, the computer storage media storage Have an at least executable instruction, the computer executable instructions can perform in above-mentioned any means embodiment based on user-association The preferential value calculating method of behavior.

Fig. 8 shows that a kind of structural schematic diagram of computing device according to an embodiment of the invention, the present invention are specifically real Example is applied not limit the specific implementation of computing device.

As shown in figure 8, the computing device may include：Processor (processor) 802, communication interface (Communications Interface) 804, memory (memory) 806 and communication bus 808.

Wherein：

Processor 802, communication interface 804 and memory 806 complete mutual communication by communication bus 808.

Communication interface 804, for being communicated with the network element of miscellaneous equipment such as client or other servers etc..

Processor 802 can specifically execute the above-mentioned preferential value meter based on user-association behavior for executing program 810 Calculate the correlation step in embodiment of the method.

Specifically, program 810 may include program code, which includes computer-managed instruction.

Processor 802 may be central processor CPU or specific integrated circuit ASIC (Application Specific Integrated Circuit), or be arranged to implement the integrated electricity of one or more of the embodiment of the present invention Road.The one or more processors that computing device includes can be same type of processor, such as one or more CPU；Also may be used To be different types of processor, such as one or more CPU and one or more ASIC.

Memory 806, for storing program 810.Memory 806 may include high-speed RAM memory, it is also possible to further include Nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.

Program 810 specifically can be used for so that processor 802 executes being closed based on user in above-mentioned any means embodiment The preferential value calculating method of connection behavior.The specific implementation of each step may refer to above-mentioned based on user-association behavior in program 810 Preferential value calculate embodiment in corresponding steps and unit in corresponding description, this will not be repeated here.The technology people of fields Member can be understood that, for convenience and simplicity of description, the equipment of foregoing description and the specific work process of module, can be with With reference to the corresponding process description in preceding method embodiment, details are not described herein.

Algorithm and display be not inherently related to any certain computer, virtual system or miscellaneous equipment provided herein. Various general-purpose systems can also be used together with teaching based on this.As described above, it constructs required by this kind of system Structure be obvious.In addition, the present invention is not also directed to any certain programmed language.It should be understood that can utilize various Programming language realizes the content of invention described herein, and the description done above to language-specific is to disclose this hair Bright preferred forms.

In the instructions provided here, numerous specific details are set forth.It is to be appreciated, however, that the implementation of the present invention Example can be put into practice without these specific details.In some instances, well known method, structure is not been shown in detail And technology, so as not to obscure the understanding of this description.

Similarly, it should be understood that in order to simplify the disclosure and help to understand one or more of each inventive aspect, Above in the description of exemplary embodiment of the present invention, each feature of the invention is grouped together into single implementation sometimes In example, figure or descriptions thereof.However, the method for the disclosure should be construed to reflect following intention：It is i.e. required to protect Shield the present invention claims the more features of feature than being expressly recited in each claim.More precisely, as following Claims reflect as, inventive aspect is all features less than single embodiment disclosed above.Therefore, Thus the claims for following specific implementation mode are expressly incorporated in the specific implementation mode, wherein each claim itself All as a separate embodiment of the present invention.

Those skilled in the art, which are appreciated that, to carry out adaptively the module in the equipment in embodiment Change and they are arranged in the one or more equipment different from the embodiment.It can be the module or list in embodiment Member or component be combined into a module or unit or component, and can be divided into addition multiple submodule or subelement or Sub-component.Other than such feature and/or at least some of process or unit exclude each other, it may be used any Combination is disclosed to all features disclosed in this specification (including adjoint claim, abstract and attached drawing) and so to appoint Where all processes or unit of method or equipment are combined.Unless expressly stated otherwise, this specification (including adjoint power Profit requires, abstract and attached drawing) disclosed in each feature can be by providing the alternative features of identical, equivalent or similar purpose come generation It replaces.

In addition, it will be appreciated by those of skill in the art that although some embodiments described herein include other embodiments In included certain features rather than other feature, but the combination of the feature of different embodiments means in of the invention Within the scope of and form different embodiments.For example, in the following claims, embodiment claimed is appointed One of meaning mode can use in any combination.

The all parts embodiment of the present invention can be with hardware realization, or to run on one or more processors Software module realize, or realized with combination thereof.It will be understood by those of skill in the art that can use in practice Microprocessor or digital signal processor (DSP) are according to the ... of the embodiment of the present invention based on the preferential of user-association behavior to realize It is worth some or all functions of some or all components in computing device.The present invention is also implemented as executing this In described method some or all equipment or program of device (for example, computer program and computer program Product).It is such realize the present invention program can may be stored on the computer-readable medium, can either have there are one or it is more The form of a signal.Such signal can be downloaded from internet website and be obtained, either provide on carrier signal or with Any other form provides.

It should be noted that the present invention will be described rather than limits the invention for above-described embodiment, and ability Field technique personnel can design alternative embodiment without departing from the scope of the appended claims.In the claims, Any reference mark between bracket should not be configured to limitations on claims.Word "comprising" does not exclude the presence of not Element or step listed in the claims.Word "a" or "an" before element does not exclude the presence of multiple such Element.The present invention can be by means of including the hardware of several different elements and being come by means of properly programmed computer real It is existing.In the unit claims listing several devices, several in these devices can be by the same hardware branch To embody.The use of word first, second, and third does not indicate that any sequence.These words can be explained and be run after fame Claim.

Claims

1. a kind of preferential value calculating method based on user-association behavior, including：

It obtains and the relevant correlation behavior parameter of the user-association behavior；

According to the correlation behavior parameter, preferential value is calculated, is made when generating consumer behavior to the businessman or commodity for user With.

2. a kind of preferential value calculating method based on user-association behavior, including：

Preferential value calculating parameter is determined according to the user-association behavior；

According to the preferential value calculating parameter, preferential value is calculated, when generating consumer behavior to the businessman or commodity for user It uses.

3. a kind of preferential value calculating method based on user-association behavior, including：

The user-association behavior for businessman or commodity is received, and the user-association behavior is reported into server-side, for clothes End be engaged according to the preferential value of user-association behavior calculating；

Obtain the preferential value that server-side returns；

When generating consumer behavior for the businessman or commodity, settled accounts using the preferential value.

4. a kind of server-side, including：

Acquisition module is suitable for obtaining and the relevant correlation behavior parameter of the user-association behavior；

Computing module is suitable for, according to the correlation behavior parameter, calculating preferential value, so that user generates the businessman or commodity It is used when consumer behavior.

5. a kind of server-side, including：

Determining module, suitable for determining preferential value calculating parameter according to the user-association behavior；

Computing module is suitable for, according to the preferential value calculating parameter, calculating preferential value, so that user produces the businessman or commodity It is used when raw consumer behavior.

6. a kind of client, including：

Reporting module, suitable for the user-association behavior is reported to server-side, so that server-side is according to the user-association row To calculate preferential value；

Settlement module is settled accounts when being suitable for generating consumer behavior for the businessman or commodity using the preferential value.

7. a kind of preferential value computing system based on user-association behavior, including：Server-side and right described in claim 4 are wanted Seek the client described in 6.

8. a kind of preferential value computing system based on user-association behavior, including：Server-side and right described in claim 5 are wanted Seek the client described in 6.

9. a kind of computing device, including：Processor, memory, communication interface and communication bus, the processor, the storage Device and the communication interface complete mutual communication by the communication bus；

The memory makes the processor execute as right is wanted for storing an at least executable instruction, the executable instruction Ask the corresponding operation of preferential value calculating method based on user-association behavior described in 1.

10. a kind of computer storage media, an at least executable instruction, the executable instruction are stored in the storage medium Processor is set to execute the corresponding operation of preferential value calculating method based on user-association behavior as described in claim 1.