CN109493113A

CN109493113A - A kind of providing method and device of favor information

Info

Publication number: CN109493113A
Application number: CN201811146476.0A
Authority: CN
Inventors: 叶孝璐; 刘文辉; 黄建锋; 吴毓雄; 彭猛; 李沛; 褚天颖; 张飞; 论旻雯; 梅龙; 朱正荣
Original assignee: Koubei Shanghai Information Technology Co Ltd
Current assignee: Koubei Shanghai Information Technology Co Ltd
Priority date: 2018-09-29
Filing date: 2018-09-29
Publication date: 2019-03-19
Also published as: CN114169936A

Abstract

This application discloses a kind of providing method of favor information and device, this method comprises: obtaining the preference profiles information of target user and target user has saved bit by bit favor information；Obtain the real-time consumption state of target user；Favor information and the preference profiles information of target user have been saved bit by bit according to the real-time consumption state of target user, target user, have been obtained the currently active preferential.By using this method, the favor information consumer behavior current with it of having saved bit by bit obtained before user can be combined, this is avoided to save bit by bit the state that favor information does not obtain the response of user in time and reminds in nobody, the waste that preferential resource can be effectively reduced improves the shopping experience of user.

Description

A kind of providing method and device of favor information

Technical field

This application involves technical field of electronic commerce, and in particular to a kind of providing method of favor information.The application is simultaneously Offer device, a kind of electronic equipment and a kind of computer-readable storage medium of a kind of favor information are provided.

Background technique

User is that user recommends various preferential activities to have become e-commerce by e-commerce platform in process of consumption The normalization promotion behavior in field can make the more commodity of Merchant sales and obtain more profits, can also make to disappear by this kind of mode Expense person obtains bigger preferential.

Common preferential activity mainly includes being given a discount to predetermined commodity, providing discount coupon for consumer and when consumption The spending amount of person provides when reaching preset cost reduces or remits the modes such as preferential accordingly.However, above-mentioned discount information, discount coupon with And the deduction and exemption favor informations such as preferential would be at the dormant state of unmanned prompting when not obtaining the response of customer in time, So that above-mentioned favor information is unable to get use beyond service life, the waste of preferential resource is caused, and influences consumption and cares for The shopping experience of visitor.

Summary of the invention

The application provides a kind of providing method of favor information, existing because favor information is in unmanned prompting to solve The problem of consumption experience of the preferential wasting of resources caused by dormant state and influence customer.In addition the application provides a kind of excellent Offer device, a kind of electronic equipment and a kind of computer-readable storage medium of favour information.

The application provides a kind of providing method of favor information, comprising:

The preference profiles information and the target user for obtaining target user have saved bit by bit favor information；

Obtain the real-time consumption state of the target user；

Favor information and the mesh have been saved bit by bit according to the real-time consumption state of the target user, the target user The preference profiles information of user is marked, is obtained the currently active preferential.

Optionally, the real-time consumption state according to the target user, the target user have saved bit by bit preferential letter The preference profiles information of breath and the target user obtain the currently active preferential, comprising:

According to the preference profiles information of the target user, the coupon characteristics to match with the preference profiles information are obtained Information；

According to the real-time consumption state of the coupon characteristics information and the target user, obtains and be directed to the target user It is initial preferential；

By the target user saved bit by bit favor information with it is described it is initial it is preferential be combined, by the preferential work after combination It is the currently active preferential.

By the target user saved bit by bit favor information with it is described it is initial it is preferential be combined, it is excellent after being combined Favour；

Preferential after the combination is verified according to pre-defined rule, is determined according to verification result the currently active preferential.

Optionally, the favor information of having saved bit by bit of the target user is that can directly use without additional conditions is preferential, It is described initial preferential to be combined the favor information of having saved bit by bit of the target user with described, comprising:

On the basis of to the initial preferential progress preferential accounting, core is overlapped to the favor information of having saved bit by bit It calculates, the favor information of having saved bit by bit is secondary preferential on the basis of described initial preferential.

Optionally, the favor information of having saved bit by bit of the target user is excellent for can directly using for specific factor Favour, the specific factor include at least one of following:

Specific merchandise classification；

Specific Brand；

Specific commodity amount；

Specific merchandise classification and quantity；

Specific spending limit；

Specific merchant；

It is described initial preferential to be combined the favor information of having saved bit by bit of the target user with described, comprising:

Determine whether there is the initial preferential and/or described target user's of first to be consistent with the specific factor Whether real-time consumption state is consistent with above-mentioned specific factor；

If so, having saved bit by bit favor information to described on the basis of to the described first initial preferential progress preferential accounting It is overlapped accounting, the favor information of having saved bit by bit is secondary preferential on the basis of described first is initial preferential.

Optionally, the favor information of having saved bit by bit of the target user is the preferential of not up to preset condition, it is described will be described The favor information of having saved bit by bit of target user initial preferential is combined with described, comprising:

Determine whether exist and preferential first with identical preferential Activity Type of the not up to preset condition It is initial preferential；

If it exists, then the described first initial preferential content is combined with the content for having saved bit by bit favor information, Offers content after being combined.

Optionally, the preference profiles information according to the target user obtains and the preference profiles information phase The coupon characteristics information matched, comprising:

Predetermined user preference characteristic information and preferential spy are inquired according to the preference profiles information of the target user The matching relationship of reference breath, obtains the coupon characteristics information to match with the preference profiles information.

Optionally, the preference profiles information of the target user includes at least one of following:

The consumption class information of target user；

Demand information of the target user to commodity；

The preferential mode information of target user's preference；

It is corresponding, it is described that predetermined user preference feature letter is inquired according to the preference profiles information of the target user The matching relationship of breath and coupon characteristics information obtains the coupon characteristics information to match with the preference profiles information, including such as It is at least one of lower:

According to the consumption class information of the target user, from the predetermined user preference characteristic information with it is preferential The preferential class of activity to match with the consumption grade of the target user is searched in the matching relationship of characteristic information；

According to the consumption class information of the target user, from the predetermined user preference characteristic information with it is preferential The commodity of the Price Gradient to match with the consumption grade of the target user are searched in the matching relationship of characteristic information；

According to the target user to the demand information of commodity, from the predetermined user preference characteristic information with it is excellent The preferential activity of participation to match with the target user to the demand information of commodity is searched in the matching relationship of favour characteristic information Commodity；

According to the preferential mode information of target user's preference, from the predetermined user preference characteristic information with The preferential class of activity to match with the preferential mode of target user's preference is searched in the matching relationship of coupon characteristics information.

Optionally, the real-time consumption state according to the coupon characteristics information and the target user, is directed to The target user's is initial preferential, comprising:

The preferential class of activity that match to the consumption grade with the target user and/or with target user's preference The preferential class of activity that matches of preferential mode and/or the preferential work that matches with the real-time consumption state of the target user Dynamic classification carries out priority ranking, and according to priority order selects at least one preferential activity from the ordering preferential class of activity Classification is as the preferred preferential class of activity；

It is selected and the target user in the commodity of the Price Gradient to match from the consumption grade with the target user To the preferential movable commodity of participation that the demand information of commodity matches, using the commodity selected as spare Recommendations；

Selection is consistent with the real-time consumption state of the target user and meets described excellent from the spare Recommendations Select the Recommendations of the preferential class of activity；

Using the preferably combined information of the preferential class of activity and the Recommendations as the target user's It is initial preferential.

It is optionally, described that preferential after the combination is verified according to pre-defined rule, comprising:

Preferential after the combination is measured or compared using desired indicator；

The desired indicator includes at least one of following:

The special discount rate of commodity；

The ratio of commodity exposure frequency and conclusion of the business number；

With the special discount difference of third party's shopping platform.

Optionally, the real-time consumption state of the target user includes at least one of following:

Whether the target user currently occurs Shopping Behaviors；

The target user has currently purchased the classification of commodity；

The current consumption amount of money of the target user.

Optionally, the preference profiles information for obtaining target user, comprising:

Inquiry obtains the behavioral data and consumption data of target user from user journal library；

It is calculated according to the behavioral data of the target user and consumption data, determines the preference profiles letter of target user Breath.

Optionally, further includes: the currently active preferential recommend the target user for described.

Optionally, described the currently active preferential at least one, the method also includes:

The target user is obtained from the final preferential of at least one the currently active preferential middle selection.

The application also provides a kind of offer device of favor information, comprising:

Preference profiles information and favor information obtaining unit is saved bit by bit, for obtaining the preference profiles information of target user Favor information has been saved bit by bit with the target user；

Real-time consumption state obtaining unit, for obtaining the real-time consumption state of the target user；

The currently active preferential obtaining unit, for the real-time consumption state according to the target user, the target user Saved bit by bit favor information and the preference profiles information of the target user, obtain the currently active preferential.

The application also provides a kind of electronic equipment, comprising:

Processor；

Memory, for storing the offer program of favor information, described program is held when reading execution by the processor The following operation of row:

Obtain the real-time consumption state of the target user；

The application also provides a kind of computer-readable storage medium, is stored thereon with computer program, which is located Reason device performs the steps of when executing

Obtain the real-time consumption state of the target user；

Compared with prior art, the application has the following advantages:

The providing method of favor information provided by the present application, by obtaining the preference profiles information of target user, target is used Favor information and the real-time consumption state of target user have been saved bit by bit in family, and according to above-mentioned real-time consumption state, saved bit by bit Favor information and preference profiles information acquisition are the currently active preferential.What this method can obtain before target user has saved bit by bit excellent The consumer behavior current with it of favour information is combined, this is avoided to save bit by bit the sound that favor information does not obtain target user in time It answers in the unmanned state reminded, the waste of preferential resource can be effectively reduced, improve the shopping experience of user.

Detailed description of the invention

Fig. 1 is the method flow diagram that the application first embodiment provides；

Fig. 2 is the currently active preferential method flow diagram of acquisition that the application first embodiment provides；

Fig. 3 is the device unit block diagram that the application second embodiment provides；

Fig. 4 is the electronic equipment schematic diagram that the application 3rd embodiment provides.

Specific embodiment

Many details are explained in the following description in order to fully understand the application.But the application can be with Much it is different from other way described herein to implement, those skilled in the art can be without prejudice to the application intension the case where Under do similar popularization, therefore the application is not limited by following public specific implementation.

For the preferential granting scene of e-commerce platform, in order to make user's acquisition is preferably preferential to enjoy experience, this Shen Please provide a kind of providing method of favor information, the offer device of favor information corresponding with this method, electronic equipment with And computer-readable storage medium.Embodiment presented below is to method, apparatus, electronic equipment and computer-readable storage Medium is described in detail.

The application first embodiment provides a kind of providing method of favor information, and the application main body of this method can be electronics For generating and providing the server of favor information on business platform, Fig. 1 is the favor information that the application first embodiment provides Providing method flow chart, method provided in this embodiment is described in detail below in conjunction with Fig. 1.Involved in being described below Embodiment is for illustrating Method And Principle, is not the restriction of actual use.

As shown in Figure 1, the providing method of favor information provided in this embodiment includes the following steps:

S101, the preference profiles information and target user for obtaining target user have saved bit by bit favor information.

Above-mentioned target user can refer to be had centainly on current shopping platform or other third party's shopping at network platforms Probability occurs Shopping Behaviors or has occurred and that the customer of Shopping Behaviors.The preference profiles information of above-mentioned target user can refer to The information such as the purchasing habits of the target user, the mode for enjoying favor information and preferred commodity.Above-mentioned target user's It has saved bit by bit favor information and has referred to favor information that target user is enjoyed in Shopping Behaviors before, not used.

What the effect of this step was to obtain the preference profiles information of the target user and target user has saved bit by bit preferential letter Breath.

In the present embodiment, the preference profiles information of target user is primarily referred to as consumption class information, the mesh of target user Mark at least one of information such as the demand information of user and the preferential mode information of target user's preference.

The consumption class information of target user is the target user obtained after summarizing to the consumption data of target user The Price Gradient of the commodity or service that are inclined to, for example, target user tend to higher-priced commodity or low price commodity or The commodity of middle-grade price.

The demand information of target user refers to the target determined after analyzing the consumption recording information of target user Particular commodity or service of the user with demand and the desirability to the commodity or service.Target user has demand Particular commodity can be higher to the fancy grade of particular commodity for target user, such as dotes on certain brand or the quotient of some classification Product, or commodity have been purchased according to target user and have carried out speculating the commodity that the possibility of acquisition needs, such as target user's tendency The commodity that commodity have certain relevance are purchased with it in purchase, relevance is higher, then shows target user to the commodity Desirability is bigger, and relevance can be set in the following way: can be according to one condition of attribute construction of particular commodity, with the spy Determining commodity can be considered high with the relevance of the particular commodity with the commodity of same alike result, which can be same work The information such as person, same brand；The different classes of commodity of the frequent group purchase of user or functionally complementary commodity, are closed Connection property is higher.

The preferential mode information of target user's preference, which can be, refers to that target user reaches predetermined consumption gold for spending limit Give discount coupon after volume or commodity, spending limit reach purchased commodity are given a discount or are returned after predetermined spending amount cash, The preference of the margin of preference corresponding to the preferential modes such as Buy two get one free, second half price and various preferential modes, can lead to It crosses in the history consumer record of target user and the information such as whether preferential mode is responded and how to be responded and determine target user The preferential mode information of preference.For example, the existing consumer record according to target user learns that target user reaches spending limit It provides that preferential response rate is higher after predetermined spending amount, and higher to the buying rate of institute's Recommendations, and learns this Target user spending limit is reached give after predetermined spending amount discount coupon or commodity response rate it is lower, and to discount coupon Utilization rate it is lower.

In the present embodiment, the preference profiles information for obtaining target user can be accomplished in that from user journal Inquiry obtains the behavioral data and consumption data of target user in library, is carried out according to the behavioral data of target user and consumption data Preference profiles calculate, and determine the preference profiles information of target user.The preference profiles information of the target user can be stored in user In log library, index can be established for the preference profiles information of target user in advance, by the index, can inquire and obtain target use The preference profiles information at family.

The behavioral data of target user refers to target user in current e-commerce platform or arbitrary third party's net Generated daily record data after goods browse, collection etc. operate is carried out on network shopping platform, behavior data can be used for target Family browses particular commodity or time span used in servicing, for example, user browse particular commodity or service time span whether More than 10 seconds；Target user browses the number of particular commodity or service, such as target user carries out anti-particular commodity or service Multiple browsing, browsing time are 3 times or more；Whether target user carries out collection operation to particular commodity or service；Target user is It is no to be labeled operation for particular commodity or service, such as particular commodity is labeled as to favorite type.

The consumption data of target user refers to the classification and price ladder of the commodity that target user buys in history or service The information such as degree, target user participate in or selection participates in preferential activity, the preferential ratio checked and write off, the preferential mode checked and write off of selection.

It in the present embodiment, can according to the process that the behavioral data of target user and consumption data carry out preference profiles calculating It is realized by preset computation model, for example, can be by by the behavioral data of the consumption data of target user or target user It is counted with preset decision Tree algorithms model is inputted respectively after the combination of above-mentioned particular commodity or service progress characterization It calculates, obtain the preference for being able to reflect target user or is able to reflect the score value with the correlation of target user, by this point Value is compared with preset threshold, if exceeding preset threshold, the corresponding consumption data of the score value or particular commodity or spy Fixed service is then the preference profiles information of target user.

The favor information of having saved bit by bit for obtaining target user can be by the history in the historical consumption data to the target user Favor information and preferential data etc. of checking and writing off is recommended to be inquired and obtained, this has saved bit by bit favor information can be in term of validity The not used favor information for any commodity or service, such as coupons, or by consumer behavior institute before The favor information of specified commodity generating, for being directed in subsequent consumption behavior or specified services, or once to mesh Favor information that is that mark user recommended and not obtaining target users did respond.In the present embodiment, it obtains and has saved bit by bit favor information Later, this can have been saved bit by bit to favor information to be ranked up according to information such as workable deadline, the margins of preference, for example, can By remaining term of validity it is least saved bit by bit discount coupon and ranked the first shown or used, or it is the margin of preference is maximum Favor information has been saved bit by bit to rank the first.

S102 obtains the real-time consumption state of target user.

This step is used to obtain the real-time consumption state of above-mentioned target user, which can be feeling the pulse with the finger-tip mark use Whether family currently occurs Shopping Behaviors, may also mean that the target user has currently selected the classifications of commodity after Shopping Behaviors occur And the target user has currently selected the amount of money corresponding to commodity, or refers to the shopping stage that target user is presently in. Such as when target user is done shopping by e-commerce platform, by inquiring the shopping cart of target user and to shopping Merchandise news in vehicle carries out System, can obtain the target user and select the classification of commodity or selected commodity institute The corresponding amount of money；For another example analyzed by the classification and quantity of shopping-time or purchased commodity to target user, it can Know that the target user is just to start shopping, shopping midway or close on ending.

S103 has saved bit by bit favor information and target user according to the real-time consumption state of target user, target user Preference profiles information, obtain it is the currently active preferential.

The real-time consumption state of target user that this step is used to be obtained according to above-mentioned steps, target user saved bit by bit it is excellent Favour information and the preference profiles information of target user, acquisition is the currently active preferential, and specific implementation process is as shown in Fig. 2, include Following steps:

S1031 obtains the coupon characteristics to match with the preference profiles information according to the preference profiles information of target user Information.

In the present embodiment, matched according to the preference profiles information acquisition of target user with preference profiles information preferential The process of characteristic information the preference profiles information of target user can inquire predetermined user preference characteristic information according to With the matching relationship of coupon characteristics information, the coupon characteristics to match with the preference profiles information of target user are obtained with this and are believed Breath.Specifically may include following several modes:

Mode one, the consumption class information according to target user, from predetermined user preference characteristic information with it is preferential The preferential class of activity to match with the consumption grade of target user is searched in the matching relationship of characteristic information, i.e., is used according to target The preferential class of activity that the Price Gradient of commodity or service that family is inclined to matches for its matching with the Price Gradient, if should Target user is high consumption user or low consumption user, then preferential activity corresponding to the spending amount of high amount can be matched for it Or preferential activity corresponding to the spending amount of low amount.Completely subtract preferential activity for example, preset and be respectively as follows: spending amount Full 100 yuan give 20 yuan it is preferential, full 300 yuan of spending amount give 80 yuan it is preferential and full 500 yuan of spending amount give 150 yuan it is excellent Favour, then then may be selected for high consumption user spending amount relatively high " full 500 yuan of spending amount give 150 yuan preferential " with Match.

Mode two, the consumption class information according to target user, from predetermined user preference characteristic information with it is preferential The commodity that the Price Gradient to match with the consumption grade of target user is searched in the matching relationship of characteristic information, i.e., according to target The merchandise classification that the Price Gradient of commodity or service that user is inclined to matches for its matching with the Price Gradient, if the mesh Marking user is high consumption user or low consumption user, then the merchandise classification of high amount or the commodity class of low amount can be matched for it Not.For example, same category of commodity have three kinds of price gradients such as high-end, middle-grade and masses, then it is used corresponding to high consumption Family, medium consumption user and low consumption user.

Mode three, according to target user to the demand information of commodity, from predetermined user preference characteristic information with it is excellent The preferential movable quotient of participation that lookup and target user match to the demand information of commodity in the matching relationship of favour characteristic information Product search the commodity of the higher particular category of target user's fancy grade, such as the commodity of certain brand or some classification, or Person, which searches, has purchased the commodity that commodity have high relevance with target user, such as has purchased commodity in function and purposes with target user The commodity of upper complementation.

Mode four, the preferential mode information according to target user's preference, from predetermined user preference characteristic information with The preferential class of activity to match with the preferential mode of target user's preference is searched in the matching relationship of coupon characteristics information, this is excellent The favour class of activity can be with are as follows: target user gives coupons or commodity, consumption after reaching predetermined spending amount for spending limit Amount given a discount or returned cash to purchased commodity after reaching predetermined spending amount, buy two pieces commodity after give one it is generic Commodity Buy two get one free the preferential mode such as activity, second commodity half price.

S1032 is obtained according to the real-time consumption state of coupon characteristics information and target user for the initial of target user It is preferential.

At the real-time consumption state of coupon characteristics information and target user that this step is used to obtain above-mentioned steps Reason, to obtain for the initial preferential of target user.In the present embodiment, according to the real-time of coupon characteristics information and target user Consumption status, the initial preferential process obtained for target user can be with are as follows:

Firstly, the preferential class of activity to match to the consumption grade with target user carries out priority ranking or right Priority ranking is carried out with the preferential class of activity that the preferential mode of target user's preference matches, or to target user's The preferential class of activity that real-time consumption state matches carries out priority ranking, or simultaneously with the consumption grade of target user, At least two dimension institutes in three kinds of dimensions such as the preferential mode of target user's preference and the real-time consumption state of target user Object of the matched preferential class of activity as priority ranking, according to priority order selects from the ordering preferential class of activity At least one preferential class of activity is selected as the preferred preferential class of activity.

For example, can be using the matching degree of the consumption grade with target user and with the preference of target user as measuring Two standards of the priority of the preferential class of activity carry out weight calculation, and it is as preferential to obtain the highest preferential class of activity of weight The grade highest preferential class of activity of order.

For another example whether the target user of above-mentioned acquisition currently occurs Shopping Behaviors or the mesh after Shopping Behaviors occurs Mark user has currently selected the classification of commodity and has selected the amount of money corresponding to commodity or purchase that target user is presently in Under the different real-time consumption state of the target users such as object stage, the preferential class of activity that target user is suitble to is different, because This, can by the matching degree of the consumption grade with target user, with the preference of target user and with the reality of target user When consumption status matching degree carry out weight calculation, weight meter as three standards of the priority for measuring the preferential class of activity Calculating the highest preferential class of activity of result is the highest preferential class of activity of priority order.

Secondly, selecting with target user from the commodity for the Price Gradient that the consumption grade with target user matches to quotient The preferential movable commodity of the participation that the demand information of product matches, using the commodity selected as spare Recommendations.The process is real Matter is to be combined the Price Gradient of commodity and target user to the desirability of commodity, will both meet and disappears with target user Expense grade matches, meet again the needs of target user is to commodity commodity be used as it is preferential it is movable in can recommend to target user Spare Recommendations.

It should be noted that if the current consumption status of target user is the state that Shopping Behaviors have occurred, i.e., currently Commodity are chosen, then target user herein is to the demand information of commodity in addition to including the above-mentioned behavioral data to target user Identified target user has except particular commodity or the service of demand after being analyzed with consumption data, can also will currently Whether the commodity chosen have the judgement basis of demand as target user to commodity, if particular commodity is worked as with current goal user The preceding commodity chosen have stronger relevance, such as the complementation in function or purposes, then the particular commodity is target user To the demand information of commodity.

Again, selection is consistent and meets above-mentioned with the real-time consumption state of target user from above-mentioned spare Recommendations It is preferred that the commodity of the preferential class of activity are as Recommendations.

The target user works as after whether the target user of above-mentioned acquisition currently occurs Shopping Behaviors or Shopping Behaviors occur The preceding classification for having selected commodity and the amount of money corresponding to commodity is selected or shopping stage etc. that target user is presently in Under the different real-time consumption states of target user, the preferred commodity of target user or there are the commodity of demand different, and And the Price Gradient of merchandise classification and commodity for being suitable for recommending to target user under the different preferential class of activity is not Together, therefore, it need to select to be consistent with the real-time consumption state of target user and meet from above-mentioned spare Recommendations above-mentioned preferred The commodity of the preferential class of activity, which are used as, is used for commodity recommended to the user, which can be particular commodity or two pieces or more The combination of commodity.

Finally, using the above-mentioned preferably combined information of the preferential class of activity and above-mentioned Recommendations as target user's It is initial preferential, that is, identified in the present embodiment each initial preferential to include at least the preferential class of activity and pushed away to target user The merchandise news recommended.

It should be noted that if not including in the content that the preferred preferential class of activity of above-mentioned determination is included to target The content of user's Recommendations, for example, it is above-mentioned preferably it is preferential activity be only given to any user be equivalent to its spending amount 3 at Discount coupon, then for the initial preferential only comprising preferential content of activity itself of target user, not comprising being pushed away to target user The merchandise news recommended.

S1033, by target user saved bit by bit favor information with it is above-mentioned it is initial it is preferential be combined, it is excellent after being combined Favour.

In the present embodiment, the quantity for having saved bit by bit favor information of target user is at least one, and at least one has been accumulated Collecting together favor information may include a plurality of types of preferential, and target user has been saved bit by bit favor information and above-mentioned initial preferential progress Combined process can be divided into following several combinations according to the difference for having saved bit by bit favor information type:

Mode one, when target user saved bit by bit favor information be without additional conditions can directly use it is preferential when, Target user favor information and the initial preferential mode being combined are saved bit by bit into are as follows: to the initial preferential preferential accounting of progress On the basis of, it is overlapped accounting to favor information has been saved bit by bit, it is secondary on the basis of initial preferential for having saved bit by bit favor information It is preferential.Above-mentioned no additional conditions can be used directly it is preferential can refer to as target user before consumer behavior produced by And target user it is not used for any commodity or the favor information of service in specified service life, such as without using The coupons of qualifications can reduce this on the basis of preferential accounting after according to the above-mentioned initial preferential preferential accounting of progress The amount of money corresponding to coupons is completed superposition with this and is calculated.

Mode two, when target user saved bit by bit favor information be for can directly using for specific factor it is preferential When, target user has been saved bit by bit into favor information and the initial preferential mode being combined are as follows: determine whether to exist with it is upper State the specific factor is consistent first initial preferential or current consumption state whether with above-mentioned specific factor or above two Whether condition all meets；If so, on the basis of to the first initial preferential progress preferential accounting, to having saved bit by bit favor information It is overlapped accounting, it is secondary preferential on the basis of first is initial preferential for having saved bit by bit favor information.Above-mentioned specific factor can Think specific merchandise classification, specific Brand, specific commodity amount, specific merchandise classification and quantity, specific Spending limit and at least one of information such as specific merchant.For example, being directed to certain particular category commodity of some brand Coupons or discount information, or the special discount information that consumption can be enjoyed directly when reaching certain amount of money.Which with it is upper The difference for stating mode one is: being overlapped core to having saved bit by bit favor information on the basis of to initial preferential progress preferential accounting Before calculation, the determination of favourable condition need to be carried out.For example, having saved bit by bit in favor information comprising being directed to particular brand in the definite term The discount of particular commodity, if current time was in the above-mentioned definite term, and current for the initial excellent of target user It include the particular commodity of the particular brand in the Recommendations of favour, then it can be then specific to this on the basis of above-mentioned initial preferential The particular commodity of brand is calculated by above-mentioned discount；Or above-mentioned discount first is pressed for the particular commodity of the particular brand It is preferential to be calculated, then on this basis by the above-mentioned initial preferential preferential calculating of progress.

Mode three, when target user saved bit by bit favor information be not up to preset condition it is preferential when, by target user Saved bit by bit favor information and the initial preferential mode being combined are as follows: determine whether to exist and above-mentioned not up to default item Preferential first with identical preferential Activity Type of part is initial preferential；If it exists, then by the first initial preferential content with The above-mentioned content for having saved bit by bit favor information is combined, the offers content after being combined.It is above-mentioned to be not up to the excellent of preset condition Favour refers to just enjoying preferential, tool after meeting predetermined condition in the previous consumption experience of target user for its need provided There is identical preferential Activity Type to refer to the preferential class of activity with same rule, such as recommends before this for target user The preferential class of activity that is crossing and not obtaining target users did respond is that consumption is 100 yuan preferential 30 yuan full, and favor information institute is right The spending amount of the target user answered has reached 80 yuan, selects from the above-mentioned initial preferential preferred preferential class of activity preferential The class of activity is that consumption is 300 yuan preferential 80 yuan full, and the real-time consumption amount of target user is 270 yuan, then preferential by this two kinds The new preferential movable content that movable content obtains after being overlapped are as follows: consumption is 400 yuan preferential 110 yuan full, and reality is Determining spending amount is 350 yuan (80 yuan+270 yuan), therefore target user only needs to consume 50 yuan again can be obtained 110 yuan excellent Favour.

It should be noted that in aforesaid way three, when will there is the preferential class of activity of same rule to be combined, In addition to simple numerical value split, the content after combination can be also adjusted, for example, in the above-described example, it may be determined that by this two The new preferential movable content that the preferential movable content of kind obtains after being overlapped are as follows: consumption is 380 yuan preferential 110 yuan full, with This adapts to current consumption situation.

It should be noted that in above-mentioned three kinds of modes, every kind of combination may include in a variety of possibilities, such as mode one, No additional conditions can directly use it is preferential can be a variety of coupons；In mode two, for specific factor can be straight Connect use it is preferential can for for a variety of specified commodity different discount informations；The preferential of preset condition is not up in mode three What can be do not responded for multiple target users subtracts preferential activity for expiring for different spending amounts, and initial preferential preferred preferential It also may include subtracting preferential activity for expiring for different spending amounts in the class of activity.Therefore, above-mentioned having saved bit by bit target user Favor information and it is above-mentioned it is initial it is preferential be combined after rear combination obtained it is preferential may include a variety of preferential forms, and And preferential after the combination finally obtained may include by aforesaid way one, mode two and the third three kinds of combination sides of mode Formula combination after it is obtained it is preferential at least two, the assembled scheme of diversification is realized with this, the purpose is to obtain preferential power Degree maximum or preferential mode are best suitable for target user's demand or can realize that merchandise sales amount is maximumlly preferential.

After preferential after above-mentioned steps are combined, preferential after the combination can currently be had as final Imitate it is preferential recommend target user, final work as is determined after can also being handled by predetermined way preferential after the combination again It is preceding effectively preferential, specific as follows to state shown in step:

S1034 verifies preferential after said combination according to pre-defined rule, is determined according to verification result the currently active It is preferential.

In the present embodiment, to the preferential method verified after said combination are as follows: using desired indicator to combination after It is preferential to be measured or compared, with this determine after said combination it is preferential whether be current optimal preferential or said combination after It is preferential whether to meet preassigned, if it is, by preferential as the currently active preferential after said combination.

Above-mentioned desired indicator can be the special discount rate of the commodity on current shopping platform, commodity exposure frequency and conclusion of the business At least one of information such as the ratio of number and the special discount difference of current shopping platform and third party's shopping platform.Example Such as, if the ratio of the exposure frequency of Recommendations included in preferential after said combination and conclusion of the business number is higher than current purchase The average value of the ratio of commodity exposure frequency and conclusion of the business number on object platform, then it is assumed that the Recommendations are not joyous by consumer The commodity met, with this determine after the combination it is preferential be not the currently active preferential.For another example if preferential after combination middle is wrapped The special discount rate of the Recommendations contained is greater than the special discount rate of the type commodity and and third party on third party's shopping platform The difference of the special discount rate of the type commodity is greater than predetermined threshold on shopping platform, then it is assumed that the special discount of the Recommendations Rate reaches scheduled preferential standard, corresponding, and preferential after combination corresponding to the Recommendations can be used as the currently active excellent Favour.

Obtained through above-mentioned steps it is the currently active it is preferential after, can also by it is above-mentioned it is the currently active it is preferential recommend target use Family.In the present embodiment, above-mentioned the currently active preferential quantity is at least one, therefore, also can get target user from least one A the currently active preferential middle selection it is final preferential.

The providing method of above-mentioned favor information, by obtaining the preference profiles information of target user, target user has accumulated Favor information and the real-time consumption state of target user are collected together, and inclined with this according to the preference profiles information acquisition of target user The coupon characteristics information that good characteristic information matches is obtained according to the real-time consumption state of coupon characteristics information and target user For the initial preferential of target user, and by target user saved bit by bit favor information with it is above-mentioned it is initial it is preferential be combined, It is preferential after being combined, it will be preferential the currently active preferential or right as that can recommend to target user after the combination After preferential after said combination is verified, determined according to verification result the currently active preferential.It, can be by mesh by using this method The favor information consumer behavior current with it of having saved bit by bit obtained before mark user is combined, this is avoided to save bit by bit favor information The response of target user is not obtained in time and is in preferential effectiveness caused by the unmanned dormant state reminded and is eliminated, it can be effective It reduces the waste of preferential resource and improves the enthusiasm of user's shopping, improve the shopping experience of user.

Above-mentioned first embodiment provides a kind of providing method of favor information, corresponding, and the application second is real It applies example and a kind of offer device of favor information is be provided, since Installation practice is substantially similar to embodiment of the method, so retouching State fairly simple, the detail section of relevant technical characteristic refers to the corresponding explanation of the embodiment of the method for above-mentioned offer i.e. Can, the description of following pairs of Installation practices is only schematical.

It please refers to Fig. 3 and understands the embodiment, Fig. 3 provides the unit frame of device for favor information provided in this embodiment Figure, as shown in figure 3, device provided in this embodiment includes:

Preference profiles information and favor information obtaining unit 201 is saved bit by bit, for obtaining the preference profiles of target user Information and target user's has saved bit by bit favor information；

Real-time consumption state obtaining unit 202, for obtaining the real-time consumption state of target user；

The currently active preferential obtaining unit 203, for having been accumulated according to the real-time consumption state of target user, target user Favor information and the preference profiles information of target user are collected together, is obtained the currently active preferential.

The currently active preferential obtaining unit 203 includes following subelement:

Coupon characteristics information acquisition subelement, for the preference profiles information according to target user, acquisition and preference profiles The coupon characteristics information that information matches；

Initial preferential acquisition subelement is obtained for the real-time consumption state according to coupon characteristics information and target user For the initial preferential of target user；

Preferential combination subelement is obtained for the favor information of having saved bit by bit of target user to be combined with initially preferential It is preferential after combination；

The currently active preferential determining subelement, for being verified according to pre-defined rule to preferential after combination, according to testing Card result determines the currently active preferential.

The favor information of having saved bit by bit of above-mentioned target user is that can directly use without additional conditions is preferential, corresponding, Preferential combination subelement is specifically used for: on the basis of to initial preferential progress preferential accounting, carrying out to favor information has been saved bit by bit Superposition is calculated, and it is secondary preferential on the basis of initial preferential for having saved bit by bit favor information.

Above-mentioned target user saved bit by bit favor information be for can directly using for specific factor it is preferential, it is specific to want Element includes at least one of following: specific merchandise classification；Specific Brand；Specific commodity amount；Specific quotient Category not and quantity；Specific spending limit；Specific merchant；Corresponding, preferential combination subelement is specifically used for: determining current With the presence or absence of initial preferential and/or target user the real-time consumption state of first to be consistent with specific factor whether with above-mentioned spy Determine element to be consistent；If so, being carried out on the basis of to the first initial preferential progress preferential accounting to favor information has been saved bit by bit Superposition is calculated, and it is secondary preferential on the basis of first is initial preferential for having saved bit by bit favor information.

The favor information of having saved bit by bit of above-mentioned target user is the preferential of not up to preset condition, and preferential combination subelement is specific For: it determines whether to exist initial excellent with preferential first with identical preferential Activity Type of not up to preset condition Favour；If it exists, then the first initial preferential content is combined with the content for having saved bit by bit favor information, it is excellent after being combined Favour content.

Coupon characteristics information acquisition subelement is specifically used for: being inquired and is predefined according to the preference profiles information of target user User preference characteristic information and coupon characteristics information matching relationship, obtain the coupon characteristics to match with preference profiles information Information.

The preference profiles information of target user includes at least one of following: the consumption class information of target user；Mesh User is marked to the demand information of commodity；The preferential mode information of target user's preference；

It is corresponding, it is above-mentioned according to the preference profiles information of target user inquire predetermined user preference characteristic information with The matching relationship of coupon characteristics information obtains the coupon characteristics information to match with preference profiles information, including in following extremely Few one kind:

According to the consumption class information of target user, from predetermined user preference characteristic information and coupon characteristics information Matching relationship in search the preferential class of activity to match with the consumption grade of target user；

According to the consumption class information of target user, from predetermined user preference characteristic information and coupon characteristics information Matching relationship in search the commodity of the Price Gradient to match with the consumption grade of target user；

According to target user to the demand information of commodity, believe from predetermined user preference characteristic information and coupon characteristics The preferential movable commodity of participation that lookup and target user match to the demand information of commodity in the matching relationship of breath；

According to the preferential mode information of target user's preference, from predetermined user preference characteristic information and coupon characteristics The preferential class of activity to match with the preferential mode of target user's preference is searched in the matching relationship of information.

Initial preferential acquisition subelement is specifically used for:

The preferential class of activity match to the consumption grade with target user and/or the preferential side with target user's preference The preferential class of activity that formula matches and/or the preferential class of activity to match with the real-time consumption state of target user carry out excellent First grade sequence, according to priority order selects at least one preferential class of activity as preferably from the ordering preferential class of activity The preferential class of activity；

It selects with target user in the commodity of the Price Gradient to match from the consumption grade with target user to commodity The preferential movable commodity of the participation that demand information matches, using the commodity selected as spare Recommendations；

Selection is consistent with the real-time consumption state of target user and meets preferred preferential activity class from spare Recommendations Other Recommendations；

Using the combined information of the preferred preferential class of activity and Recommendations as the initial preferential of target user.

The currently active preferential determining subelement is specifically used for: preferential after combination being checked or compared using desired indicator Compared with；Desired indicator includes at least one of following: the special discount rate of commodity；The ratio of commodity exposure frequency and conclusion of the business number Rate；With the special discount difference of third party's shopping platform.

The real-time consumption state of above-mentioned target user includes at least one of following:

Whether target user currently occurs Shopping Behaviors；

Target user has currently purchased the classification of commodity；

The current consumption amount of money of target user.

The preference profiles information of above-mentioned acquisition target user, specifically:

It is calculated according to the behavioral data of target user and consumption data, determines the preference profiles information of target user.

The device further include:

The currently active preferential recommendation unit, for preferential recommending target user for the currently active.

Above-mentioned the currently active preferential at least one, the device further include:

Final preferential obtaining unit, for obtaining target user from the final excellent of at least one the currently active preferential middle selection Favour.

In the above-described embodiments, the offer for providing the providing method and a kind of favor information of a kind of favor information fills It sets, in addition, the application 3rd embodiment also provides a kind of electronic equipment, the electronic equipment embodiment is as follows:

It please refers to Fig. 4 and understands that the present embodiment, figure are the schematic diagram of electronic equipment provided in this embodiment.

As shown, electronic equipment includes: processor 301；Memory 302；

Memory 302, for storing the offer program of favor information, program executes such as when being read out by the processor execution Lower operation:

The preference profiles information and target user for obtaining target user have saved bit by bit favor information；

Obtain the real-time consumption state of target user；

Favor information and the preference of target user have been saved bit by bit according to the real-time consumption state of target user, target user Characteristic information obtains the currently active preferential.

Optionally, it is used according to the real-time consumption state of target user, saved bit by bit favor information and the target of target user The preference profiles information at family obtains the currently active preferential, comprising:

According to the preference profiles information of target user, the coupon characteristics information to match with preference profiles information is obtained；

According to the real-time consumption state of coupon characteristics information and target user, obtain for the initial preferential of target user；

The favor information of having saved bit by bit of target user is combined with initially preferential, preferential be used as currently after combination is had It imitates preferential.

The favor information of having saved bit by bit of target user is combined with initially preferential, it is preferential after being combined；

Preferential after combination is verified according to pre-defined rule, is determined according to verification result the currently active preferential.

Optionally, the favor information of having saved bit by bit of target user is that can directly use without additional conditions is preferential, by mesh The favor information of having saved bit by bit of mark user is combined with initially preferential, comprising:

On the basis of to initial preferential progress preferential accounting, it is overlapped accounting to favor information has been saved bit by bit, has been saved bit by bit Favor information is secondary preferential on the basis of initial preferential.

Optionally, the favor information of having saved bit by bit of target user is, spy preferential for can directly using for specific factor It includes at least one of following for determining element:

Specific merchandise classification；

Specific Brand；

Specific commodity amount；

Specific merchandise classification and quantity；

Specific spending limit；

Specific merchant；

The favor information of having saved bit by bit of target user is combined with initially preferential, comprising:

Determine whether there is the first initial preferential and/or target user real-time consumption being consistent with specific factor Whether state is consistent with above-mentioned specific factor；

If so, being overlapped on the basis of to the first initial preferential progress preferential accounting to favor information has been saved bit by bit It calculates, it is secondary preferential on the basis of first is initial preferential for having saved bit by bit favor information.

Optionally, the favor information of having saved bit by bit of target user is the preferential of not up to preset condition, by target user Favor information is saved bit by bit to be combined with initially preferential, comprising:

It determines whether to exist initial with preferential first with identical preferential Activity Type of not up to preset condition It is preferential；

If it exists, then the first initial preferential content is combined with the content for having saved bit by bit favor information, is combined Offers content afterwards.

Optionally, according to the preference profiles information of target user, the coupon characteristics to match with preference profiles information are obtained Information, comprising: predetermined user preference characteristic information and coupon characteristics are inquired according to the preference profiles information of target user The matching relationship of information obtains the coupon characteristics information to match with preference profiles information.

Optionally, the preference profiles information of target user includes at least one of following:

The consumption class information of target user；

Demand information of the target user to commodity；

The preferential mode information of target user's preference；

It is corresponding, according to the preference profiles information of target user inquire predetermined user preference characteristic information with it is preferential The matching relationship of characteristic information obtains the coupon characteristics information to match with preference profiles information, including at least one in following Kind:

Optionally, it according to the real-time consumption state of coupon characteristics information and target user, obtains for the first of target user Begin preferential, comprising:

Optionally, preferential after combination is verified according to pre-defined rule, comprising:

Using desired indicator with combine after it is preferential be compared,；

Desired indicator includes at least one of following:

The special discount rate of commodity；

With the special discount difference of third party's shopping platform.

Optionally, the real-time consumption state of target user includes at least one of following:

Whether target user currently occurs Shopping Behaviors；

Target user has currently purchased the classification of commodity；

The current consumption amount of money of target user.

Optionally, the preference profiles information of target user is obtained, comprising:

Optionally, further includes: preferential recommend target user for the currently active.

Optionally, the currently active preferential at least one, further includes:

Target user is obtained from the final preferential of at least one the currently active preferential middle selection.

In the above-described embodiment, a kind of providing method of favor information, a kind of offer device of favor information are provided And a kind of electronic equipment, in addition, the application fourth embodiment additionally provides a kind of providing method for realizing favor information Computer-readable storage medium.Computer-readable storage medium embodiment provided by the present application describes fairly simple, Relevant portion refers to the corresponding explanation of above method embodiment, and embodiment described below is only schematical.

The present embodiment provides a kind of computer-readable storage mediums, are stored thereon with computer program, which is located Reason device performs the steps of when executing

Obtain the real-time consumption state of target user；

Specific merchandise classification；

Specific Brand；

Specific commodity amount；

Specific merchandise classification and quantity；

Specific spending limit；

Specific merchant；

Optionally, according to the preference profiles information of target user, the coupon characteristics to match with preference profiles information are obtained Information, comprising:

Predetermined user preference characteristic information is inquired according to the preference profiles information of target user and coupon characteristics are believed The matching relationship of breath obtains the coupon characteristics information to match with preference profiles information.

The consumption class information of target user；

Demand information of the target user to commodity；

The preferential mode information of target user's preference；

Using desired indicator with combine after it is preferential be compared,；

Desired indicator includes at least one of following:

The special discount rate of commodity；

With the special discount difference of third party's shopping platform.

Whether target user currently occurs Shopping Behaviors；

Target user has currently purchased the classification of commodity；

The current consumption amount of money of target user.

Optionally, the currently active preferential at least one, further includes:

In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net Network interface and memory.

Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium Example.

1, computer-readable medium can be by any side including permanent and non-permanent, removable and non-removable media Method or technology realize that information stores.Information can be computer readable instructions, data structure, the module of program or other numbers According to.The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory techniques, CD-ROM are read-only Memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or Other magnetic storage devices or any other non-transmission medium, can be used for storage can be accessed by a computing device information.According to Herein defines, and computer-readable medium does not include non-temporary computer readable media (transitory media), such as modulates Data-signal and carrier wave.

2, it will be understood by those skilled in the art that embodiments herein can provide as the production of method, system or computer program Product.Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the application Form.It can be used moreover, the application can be used in the computer that one or more wherein includes computer usable program code The computer program product implemented on storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) Form.

Although the application is disclosed as above with preferred embodiment, it is not for limiting the application, any this field skill Art personnel are not departing from spirit and scope, can make possible variation and modification, therefore the guarantor of the application Shield range should be subject to the range that the claim of this application defined.

Claims

1. a kind of providing method of favor information characterized by comprising

Obtain the real-time consumption state of the target user；

It is used according to the real-time consumption state of the target user, saved bit by bit favor information and the target of the target user The preference profiles information at family obtains the currently active preferential.

2. the method according to claim 1, wherein the real-time consumption state according to the target user, The target user's has saved bit by bit favor information and the preference profiles information of the target user, and acquisition is the currently active preferential, Include:

According to the preference profiles information of the target user, obtains the coupon characteristics to match with the preference profiles information and believe Breath；

According to the real-time consumption state of the coupon characteristics information and the target user, obtain for the first of the target user Begin preferential；

By the target user saved bit by bit favor information with it is described it is initial it is preferential be combined, will be preferential as working as after combination It is preceding effectively preferential.

3. the method according to claim 1, wherein the real-time consumption state according to the target user, The target user's has saved bit by bit favor information and the preference profiles information of the target user, and acquisition is the currently active preferential, Include:

By the target user saved bit by bit favor information with it is described it is initial it is preferential be combined, it is preferential after being combined；

4. according to the method in claim 2 or 3, which is characterized in that the favor information of having saved bit by bit of the target user is nothing Can directly using for additional conditions is preferential, it is described by the target user saved bit by bit favor information with it is described initial preferential It is combined, comprising:

On the basis of to the initial preferential progress preferential accounting, accounting, institute are overlapped to the favor information of having saved bit by bit It is secondary preferential on the basis of described initial preferential for stating and having saved bit by bit favor information.

5. according to the method in claim 2 or 3, which is characterized in that the favor information of having saved bit by bit of the target user is needle Preferential to can directly using for specific factor, the specific factor includes at least one of following:

Specific merchandise classification；

Specific Brand；

Specific commodity amount；

Specific merchandise classification and quantity；

Specific spending limit；

Specific merchant；

Determine whether there is the real-time of the initial preferential and/or described target user of first to be consistent with the specific factor Whether consumption status is consistent with above-mentioned specific factor；

If so, being carried out on the basis of to the described first initial preferential progress preferential accounting to the favor information of having saved bit by bit Superposition is calculated, and the favor information of having saved bit by bit is secondary preferential on the basis of described first is initial preferential.

6. according to the method in claim 2 or 3, which is characterized in that the favor information of having saved bit by bit of the target user is not Reach the preferential of preset condition, it is described by the target user saved bit by bit favor information with it is described it is initial it is preferential be combined, Include:

It determines whether to exist initial with preferential first with identical preferential Activity Type of the not up to preset condition It is preferential；

If it exists, then the described first initial preferential content is combined with the content for having saved bit by bit favor information, is obtained Offers content after combination.

7. according to the method in claim 2 or 3, which is characterized in that described to be believed according to the preference profiles of the target user Breath obtains the coupon characteristics information to match with the preference profiles information, comprising:

Predetermined user preference characteristic information is inquired according to the preference profiles information of the target user and coupon characteristics are believed The matching relationship of breath obtains the coupon characteristics information to match with the preference profiles information.

8. a kind of offer device of favor information characterized by comprising

Preference profiles information and favor information obtaining unit is saved bit by bit, for obtaining preference profiles information and the institute of target user That states target user has saved bit by bit favor information；

The currently active preferential obtaining unit, for according to the real-time consumption state of the target user, the target user Favor information and the preference profiles information of the target user are saved bit by bit, is obtained the currently active preferential.

9. a kind of electronic equipment characterized by comprising

Processor；

Memory, for storing the offer program of favor information, described program executes such as when reading execution by the processor Lower operation:

Obtain the real-time consumption state of the target user；

10. a kind of computer-readable storage medium, is stored thereon with computer program, which is characterized in that the program is processed Device performs the steps of when executing

Obtain the real-time consumption state of the target user；