CN107730342A - A kind of data processing method and server - Google Patents

A kind of data processing method and server Download PDF

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Publication number
CN107730342A
CN107730342A CN201710797624.4A CN201710797624A CN107730342A CN 107730342 A CN107730342 A CN 107730342A CN 201710797624 A CN201710797624 A CN 201710797624A CN 107730342 A CN107730342 A CN 107730342A
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China
Prior art keywords
targeted customer
commodity
user
page
price adjustment
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CN201710797624.4A
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Chinese (zh)
Inventor
张承军
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Shenzhen Jinli Communication Equipment Co Ltd
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Shenzhen Jinli Communication Equipment Co Ltd
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Priority to CN201710797624.4A priority Critical patent/CN107730342A/en
Publication of CN107730342A publication Critical patent/CN107730342A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0607Regulated
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0611Request for offers or quotes
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0621Item configuration or customization
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0633Lists, e.g. purchase orders, compilation or processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0641Shopping interfaces

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  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the invention discloses a kind of data processing method and server.Wherein, this method includes:Targeted customer is being received by when being used to access the access request of the commodity page, obtaining the user profile of the targeted customer transmitted by terminal;According to the user profile of the targeted customer, the price adjustment policy to match with the targeted customer is obtained;It is adjusted according to the pricing information for matching commodity of the price adjustment policy to being included in the commodity page;The commodity page after adjustment is returned into the terminal to be shown.Can be that user flexibility adjusts commodity price according to user profile, so that having more specific aim and personalization for the commodity page that each user shows using the present invention.

Description

A kind of data processing method and server
Technical field
The present invention relates to field of computer technology, more particularly to a kind of data processing method and server.
Background technology
With the development of internet, user can see news, shopping, counseling services etc. by internet.With various electricity The rise of sub- business web site, increasing user are done shopping by e-commerce website, such as buy clothes, cosmetics.
As a rule, no matter can be used for buying the application program of commodity, also can be used for buying the electronics of commodity Business web site, in the commodity page showed for each user, the price of its commodity is all unified, and this causes the commodity page Lacking individuality of displaying, flexibility also has much room for improvement.
The content of the invention
The embodiments of the invention provide a kind of data processing method and server, can be user flexibility according to user profile Commodity price is adjusted, so that having more specific aim and personalization for the commodity page that each user shows.
In a first aspect, the embodiments of the invention provide a kind of data processing method, including:
Targeted customer is being received by transmitted by terminal when being used to access the access request of the commodity page, described in acquisition The user profile of targeted customer;
According to the user profile of the targeted customer, the price adjustment policy to match with the targeted customer is obtained;
Adjusted according to the pricing information for matching commodity of the price adjustment policy to being included in the commodity page It is whole;
The commodity page after adjustment is returned into the terminal to be shown.
Second aspect, the embodiments of the invention provide a kind of server, the server includes being used to perform above-mentioned first party The unit of method described in face.
The third aspect, the embodiments of the invention provide another server, including processor, input equipment, output equipment And memory, the processor, input equipment, output equipment and memory are connected with each other, wherein, the memory is used to store Application code, the processor are arranged to call described program code, the method for performing above-mentioned first aspect.
Fourth aspect, the embodiments of the invention provide a kind of computer-readable recording medium, the computer-readable storage medium Computer program is stored with, the computer program includes programmed instruction, and described program instruction makes institute when being executed by a processor The method for stating the above-mentioned first aspect of computing device.
The embodiment of the present invention, server can receive targeted customer by transmitted by terminal be used for access commodity page During the access request in face, the price adjustment policy to match with the targeted customer is obtained according to the user profile of targeted customer, and The commodity page after adjusting pricing information can be returned into the terminal according to the price adjustment policy to be shown, so as to According to user profile be user flexibility adjust commodity price so that for the commodity page that each user shows have more specific aim and It is personalized.
Brief description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with Other accompanying drawings are obtained according to these accompanying drawings.
Fig. 1 is a kind of schematic flow sheet of data processing method provided in an embodiment of the present invention;
Fig. 2 is a kind of schematic flow sheet for data processing method that yet another embodiment of the invention provides;
Fig. 3 is a kind of structural representation of server provided in an embodiment of the present invention;
Fig. 4 is a kind of structural representation for server that yet another embodiment of the invention provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is part of the embodiment of the present invention, rather than whole embodiments.Based on this hair Embodiment in bright, the every other implementation that those of ordinary skill in the art are obtained under the premise of creative work is not made Example, belongs to the scope of protection of the invention.
It should be appreciated that ought be in this specification and in the appended claims in use, term " comprising " and "comprising" instruction Described feature, entirety, step, operation, the presence of element and/or component, but it is not precluded from one or more of the other feature, whole Body, step, operation, element, component and/or its presence or addition for gathering.
It is also understood that the term used in this description of the invention is merely for the sake of the mesh for describing specific embodiment And be not intended to limit the present invention.As used in description of the invention and appended claims, unless on Other situations are hereafter clearly indicated, otherwise " one " of singulative, "one" and "the" are intended to include plural form.
It will be further appreciated that the term "and/or" used in description of the invention and appended claims is Refer to any combinations of one or more of the associated item listed and be possible to combine, and including these combinations.
As used in this specification and in the appended claims, term " if " can be according to context quilt Be construed to " when ... " or " once " or " in response to determining " or " in response to detecting ".Similarly, phrase " if it is determined that " or " if detecting [described condition or event] " can be interpreted to mean according to context " once it is determined that " or " in response to true It is fixed " or " once detecting [described condition or event] " or " in response to detecting [described condition or event] ".
In the specific implementation, the terminal described in the embodiment of the present invention is including but not limited to such as with touch sensitive surface The mobile phone, laptop computer or tablet PC of (for example, touch-screen display and/or touch pad) etc it is other just Portable device.It is to be further understood that in certain embodiments, the equipment is not portable communication device, but with tactile Touch the desktop computer of sensing surface (for example, touch-screen display and/or touch pad).
In discussion below, the terminal including display and touch sensitive surface is described.It is, however, to be understood that It is that terminal can include one or more of the other physical user-interface device of such as physical keyboard, mouse and/or control-rod.
Terminal supports various application programs, such as one or more of following:Drawing application program, demonstration application journey Sequence, word-processing application, website create application program, disk imprinting application program, spreadsheet applications, game application Program, telephony application, videoconference application, email application, instant messaging applications, exercise Support application program, photo management application program, digital camera application program, digital camera application program, web-browsing application Program, digital music player application and/or video frequency player application program.
The various application programs that can be performed in terminal can use at least one public of such as touch sensitive surface Physical user-interface device.It can adjust and/or change among applications and/or in corresponding application programs and touch sensitive table The corresponding information shown in the one or more functions and terminal in face.So, the public physical structure of terminal is (for example, touch Sensing surface) the various application programs with user interface directly perceived and transparent for a user can be supported.
As a rule, user can be by browsing the commodity page to obtain dependent merchandise information, and the commodity page typically can Including graph text information, pricing information, comment information etc..In order that the merchandise news that user obtains possesses personalization, can be more preferable Ground shows the commodity, the user profile of perfect grasp user, and commodity page can be neatly adjusted according to user profile comprehensively Merchandise news in face, such as pricing information, it appears particularly important.
The embodiment of the present invention, the information bank of user profile can be preserved by establishing so that in user's access target commodity During the page of place, corresponding price adjustment policy can intelligently be matched by the user profile of acquisition.Server can be with The pricing information of the end article in the page is adjusted according to the price strategy, so as to which the page after adjustment is returned into end End is shown, is reached intelligent price and is shown purpose, is advantageous to the displaying of commodity, and improve flexibility.
It should be noted that the information bank for being used to preserve user profile described in the embodiment of the present invention can be stored in terminal Server where institute's accession page, can also be stored in special Cloud Server.Herein, user profile can include behavior Information, attribute information.Wherein, attribute information can also be inferred to obtain by behavioural information:Because each behavioural information, such as network Search term, the page that accesses is all with certain sex, age, occupation etc..The behavioural information of user is more, these attributes letter Breath is more accurate.For example, if behavioural information indicates that the keyword that certain user often retrieves is all kinds of tool-class books, such as each subject Reference book, then can be inferred that occupation is student in the attribute information of this user.
Price adjustment policy described in the embodiment of the present invention can be based on user profile and combine the factors such as user psychology Drawn to carry out comprehensive assessment.Due to the difference of the user profile of each user, when each user accesses the commodity page, server Difference also likely to be present according to the price adjustment policy that the user profile of the user matches, hence in so that each user is when different Between the pricing information seen in the commodity page of access by terminal may be different, if any user's original cost, some users Discounted price.Wherein, because the difference of user profile between the user of enjoyment discounted price, its discount may also differ.Pass through valency Lattice adjustable strategies may be such that the commodity page showed for each user has more specific aim and personalization.Such as, in user's B accessization During 1 page of cosmetic, if it is female user to obtain user B by the analysis of the attribute information of the user B, pass through the row of the user B Obtain that the frequency for the page that the user accesses the cosmetics 1 is higher for information analysis, then the price adjustment policy matched can be The price adjustment of the cosmetics is 9.5 foldings, then the price of the cosmetics 1 is changed into 9.5 foldings in the 1 cosmetics page.If with Family B have accessed more than 10 times, then the price adjustment policy matched can be that the price adjustment of the cosmetics is 9 foldings, then the change The price of the cosmetics 1 becomes 9 foldings in the page of cosmetic 1.
The data processing method and server of the embodiment of the present invention, can be that user flexibility adjusts commodity according to user profile Price so that have more specific aim and personalization for the commodity page that each user shows.Below in conjunction with Fig. 1-Fig. 4 to this hair A kind of data processing method and server that bright embodiment provides are specifically described.
Referring to Fig. 1, it is a kind of schematic flow sheet of data processing method provided in an embodiment of the present invention.Wherein, the party Method may comprise steps of:
S101, server receive targeted customer pass through transmitted by terminal be used for access the access request of the commodity page When, obtain the user profile of the targeted customer.
In the embodiment of the present invention, an information bank can be established, for storing at least one user's mark and each user User profile corresponding to mark, the user profile include behavioural information and attribute information.
Alternatively, behavior information comprises at least any one of following or multinomial:The content of web search, the page accessed, Access frequency for specified page, the shopping frequency in e-commerce website.
Wherein, the content of the web search includes but is not limited to the keyword searched for, such as keyword on each commodity.Should The page of access includes but is not limited to each commodity page, the other nets on each commodity accessed of the e-commerce website accessed Each commodity page stood.The e-commerce website can also be referred to as e-commerce platform.This is directed to the access frequency of specified page Including but not limited to it is directed to the access frequency for the commodity page for including specifying commodity, or the visit of the page related to specified commodity Ask frequency.The access frequency can be represented by Chinese, be can also be and represented by forms such as specific numeral, Roman number, letters. It is possible to further show after the access frequency is graded, such as by that can represent in the following manner:Chinese: It is high, medium and low, numeral:1 (access frequency is high), 2 (in access frequencys), 3 (access frequency is low).Correspondingly, the shopping frequency also may be used To be represented by Chinese as high, medium and low, it can also be and represented by forms such as specific numeral, Roman number, letters.Also, the purchase Thing frequency shows after can also being graded.Representation after its mode represented is graded with access frequency is similar.
Alternatively, the attribute information can at least include any one of following or multinomial:Sex, residence, the age, occupation, The level of consumption.
Wherein, the sex includes but is not limited to man, female.The age can be specific age numerical value, such as 25 years old, can be with For the age range of division, such as 25-30 year.The occupation just can slightly divide, such as medical industry, building trade, or Subdivision, such as doctor, nurse, cost engineer, civil engineer.The level of consumption can also be by specific numeral, Rome The forms such as numeral, letter represent.It is such as high, medium and low also, the shopping frequency shows after can also being graded.Wherein, The level of consumption can determine according to the wage level of user, can also be according to the shopping frequency in behavioural information, shopping class The information such as the cost done shopping not or monthly are determined, such as the 2000-3000/ months (the level of consumption), (consumption of the 3000-6000/ months It is horizontal high).
Alternatively, the mark of the targeted customer, such as surname can be carried in the access request that targeted customer is sent by terminal Name, identity (Identity, ID), cell-phone number, mailbox, the pet name etc..Server can be according to the mark of the targeted customer in the letter The user profile of the targeted customer is inquired about in breath storehouse.
S102, server obtain the price to match with the targeted customer according to the user profile of the targeted customer Adjustable strategies.
It should be noted that server can combine the targeted customer the one or more information of user profile, matching with Price adjustment policy corresponding to the targeted customer.
Alternatively, the interest preference for the targeted customer that the behavioural information in the user profile of targeted customer is reflected, it is right Answer a kind of price adjustment policy.Specifically, the targeted customer couple that the behavioural information in the user profile of targeted customer is reflected The interest preference degree of different commodity, a kind of corresponding price adjustment policy.For example, the price adjustment policy can be:With Family is higher to the interest preference degree of A class commodity, then the discount dynamics of price adjustment policy corresponding A class commodity is bigger, such as:To A classes When the interest preference degree of commodity is 60%-90%, 8 foldings are made a call to, when the interest preference degree to A class commodity is 40%-59%, make a call to 9 foldings. Wherein, server can be to behavioural information, and the page such as accessed, the access frequency parameter for specified page are analyzed, To obtain the interest preference of the targeted customer and corresponding interest preference degree.For example, if user is defined to certain classification commodity page When the access frequency in face is 100 time/month, the user is 100% to the interest preference degree of category commodity, it is assumed that targeted customer visits The page asked is the commodity page for including A class commodity, and is 10 times/month to the access frequency of the commodity page, then can be anti- It is 10% for the interest preference degree of A class commodity to mirror the targeted customer.
It should be noted that the degree of the interest preference can be represented with interest preference degree.And the interest preference can To be the interest preference for all kinds of commodity.The targeted customer can have different interest preferences for different classes of commodity. Also, the targeted customer can have different interest preference degree for all kinds of commodity.Specifically, can also be sub-divided into for same The interest preference of different commodity in class commodity, and the interest preference degree to each commodity.The interest preference degree, including it is but unlimited In the presentation in the form of percentage, numeral etc..
Alternatively, server can determine the classification belonging to the commodity that are included in the commodity page, and according to the commodity institute The classification of category obtains the price adjustment policy to match with the targeted customer.It is different for A class commodity by taking A class commodity as an example Price adjustment policy can be corresponding to interest preference degree:, the then price adjustment higher to the interest preference degree of A class commodity in user The discount dynamics of tactful corresponding A class commodity is bigger.Wherein, the user comprises at least targeted customer.Alternatively, interest preference degree is high Some preset interest preference degree threshold value can be exceeded to the interest preference degree of A class commodity in the targeted customer, or in certain During individual preset interest preference degree scope, the discount dynamics of the A class commodity in the price adjustment policy is adjusted.
If for example, price adjustment policy be user to the interest preference degree of A class commodity is 60%-90% when, make a call to 8 foldings. User to the interest preference degree of A class commodity is 40%-59% when, make a call to 9 foldings.It is to the interest preference degree of A class commodity in user During 0%-39%, do not give a discount.By the analysis to targeted customer's behavioural information, determine that targeted customer's interest preference has A class business Product, B class commodity, and targeted customer is 80% to the interest preference degree of A class commodity, then for the price adjustment of targeted customer's matching Strategy be user to the interest preference degree of A class commodity is 60%-90% when, make a call to 8 foldings.
Wherein, the interest preference for the targeted customer includes but is not limited to the content of web search, the page accessed Determined etc. information.The historical behavior information that the interest preference can be combined with the user carries out analysis and drawn.The interest preference degree The frequency of occurrences of the commodity including but not limited to included according to the search rate of the content of web search, the page accessed is come really It is fixed.
Alternatively, server can be analyzed one or more information in behavioural information, to obtain target use The consumption distribution figure at family;Server can match corresponding price adjustment policy according to consumption distribution figure.
Wherein, the consumption distribution figure can obtain according to the historical behavior information of the targeted customer, including but not limited to mesh Mark user and buy the merchandise news of commodity, purchase date, to analyze the targeted customer in the period such as monthly or quarterly It is interior, purchase commodity more frequently period.So as to the page where server can determine targeted customer's current accessed commodity Whether the time, which belongs to the targeted customer, is bought commodity more frequently period.
Alternatively, server can determine that the targeted customer sends the time of the access request by the terminal, according to this Time obtains the price adjustment policy to match with the targeted customer.
Correspondingly, server can match corresponding price adjustment policy according to consumption distribution figure to be:If target is used The time of the family current accessed commodity page, belong to the targeted customer obtained according to consumption histogram analysis and buy commodity more frequency Numerous period, then strengthen discount dynamics, such as make a call to 7 foldings.It is not belonging to, other relatively low discounts can be beaten, such as 9 folding.Wherein, the period It can be finely divided according to specific demand, be such as certain specific moon, or which week monthly etc..The purchase commodity compared with Can to be frequently that the targeted customer buys the frequencies of commodity and exceedes the threshold value of preset purchase commodity frequency, or belong to some The scope of preset purchase commodity frequency.
Alternatively, obtained in the time of targeted customer's current accessed commodity page more and more far away from according to consumption histogram analysis The targeted customer that arrives buy commodity more frequently period when, correspondingly, discount dynamics is also less and less.
For example, if price adjustment policy is the time of the current accessed commodity page, belongs to and obtained according to consumption histogram analysis The targeted customer that arrives buys commodity more frequently period, during such as July, makes a call to 8 foldings.The time of the current accessed commodity page, connect Closely according to the obtained targeted customer of consumption histogram analysis buy commodity more frequently period when, such as June or August, make a call to 8.5 Folding.If the time of user's current accessed commodity page is June, the price adjustment policy for targeted customer matching is current Access the time of the commodity page, close to according to the obtained targeted customer of consumption histogram analysis buy commodity more frequently when During the phase, such as June or August, 8.5 foldings are made a call to.
Alternatively, the pass to each commodity/all kinds of commodity that the behavioural information in the user profile of targeted customer reflects Note degree, a kind of corresponding price adjustment policy.For example, the price adjustment policy can be:User is to each commodity/all kinds of business The attention rate of product is higher, bigger to the discount dynamics of each commodity, such as:Reflect user to commodity 1 according to user profile Attention rate is 100%, then makes a call to 5 foldings, if the attention rate to commodity 1 is 80%, makes a call to 6 foldings.Assuming that the user according to targeted customer Behavioural information in information determines that the targeted customer is 80% for the attention rate of commodity 1, then valency corresponding with the targeted customer It is 80% to the attention rate of commodity 1 that lattice adjustable strategies, which are, then makes a call to 6 foldings.
Alternatively, server can be analyzed one or more information in behavioural information, to obtain target use The attention rate to all kinds of commodity at family;Server can match corresponding price adjustment plan to the attention rate of different classes of commodity Slightly.For example, if targeted customer browses the frequency for accessing the commodity page for including commodity 1 more than 50 times/month, the mesh can be determined Mark user is 100% to the attention rate of commodity 1 or is high, if targeted customer, which browses, accesses the commodity page that includes commodity 1 Frequency is more than 20 times/month, then in can determining that the targeted customer is 40% or is to the attention rate of commodity 1.+ and interest preference Unlike degree, the attention rate can browse the duration of each commodity page according to targeted customer, access each commodity page The factors such as frequency, the duration stopped in each commodity page are determined, user's row can be more precisely analyzed compared with interest preference degree For.
Still optionally further, server can also be analyzed one or more information in behavioural information, to obtain The attention rate to each commodity of the targeted customer;Server can match corresponding price adjustment to the attention rate of each commodity Strategy.Attention rate, presented including but not limited in the form of Chinese, percentage, numeral etc..Alternatively, attention rate can also be entered Represented after row grading, it is such as high, medium and low.
, can be with for price adjustment policy corresponding to the different attention rate of commodity 2 it should be noted that by taking commodity 2 as an example It is:Higher to the attention rate of commodity 2 in user, then the discount dynamics of price adjustment policy corresponding goods 2 is bigger.The user is at least Including targeted customer.Wherein, attention rate height can exceed some preset attention rate threshold to the attention rate of commodity 2 in the user Value, or during in some preset attention rate scope.
If for example, price adjustment policy be user to the attention rate of commodity 2 is 80%-100% when, make a call to 6 foldings.In user When attention rate to commodity 2 is 60%-79%, 7 foldings are made a call to.If by the analysis to targeted customer's behavioural information, the target is determined User is 80% to the attention rate of commodity 2, then the price adjustment policy for targeted customer's matching is in concern of the user to commodity 2 Spend for 80%-100% when, make a call to 6 foldings.
Alternatively, targeted customer's classification of the attribute information reflection in the user profile of targeted customer, a kind of corresponding valency Lattice adjustable strategies.Certainly, the difference of the targeted customer's classification mirrored according to hair, can correspond to different price adjustment policies. For example, if it is women that price adjustment policy, which can be user, considerable reduction is enjoyed;If user is male, one is enjoyed As discount, such as:Female user makes a call to 8 foldings for commodity 1, and male user sells by 10 discount for commodity 1.If according to the user of targeted customer Attribute information in information determines that the targeted customer is women, then price adjustment policy corresponding with the targeted customer is to commodity 1 makes a call to 8 foldings.
Wherein, server can also be analyzed one or more information in attribute information, to obtain target use The classification at family;Server can be to the different classes of corresponding price adjustment policy of matching.
The category can be such as age, residence, occupation, sex, the multiple letters of the level of consumption according in attribute information Breath obtains after being classified.Correspondingly, can be combined with different dimensions to be classified, such as occupation, the level of consumption.
Alternatively, the purchasing power of the targeted customer of the attribute information reflection in user profile, a kind of corresponding price adjustment Strategy.Contribute to grasp the purchasing power of the user by the analysis to attribute information, and different purchasing power can be directed to phase is provided The price adjustment policy answered, it is beneficial to the push of personal page.The purchasing power, including but not limited to word, numeral etc. Form is presented.
For example, by taking cosmetics 3 as an example, the cosmetics 3 are applicable the women that crowd is 20-25 year, for the target Price adjustment policy can be corresponding to the classification of user:When belonging to 20-25 year at the age of user, maximum-discount is enjoyed.Should User can comprise at least targeted customer.
Again for example, by taking cosmetics 4 as an example, the cosmetics 4 are luxury goods, for corresponding to the classification of the targeted customer Price adjustment policy can be:The level of consumption of user is higher, then it is bigger to correspond to discount dynamics in price adjustment policy.The user Targeted customer can be comprised at least.Wherein, the level of consumption is high, Ke Yishi, and monthly/annual total price for buying commodity is pre- more than some The total price scope put or in some preset total price scope, can also be that the average price of the average each commodity of purchase exceedes some Preset average price scope or in some preset average price scope.
For example, if price adjustment policy is when customer consumption level is 4000-5000,6 foldings are made a call to.It is horizontal in customer consumption For 3000-4000 when, make a call to 7 foldings.If by the analysis to targeted customer's attribute information, determine that the targeted customer is to the level of consumption 3500, then the price adjustment policy used is, when customer consumption level is 3000-4000, makes a call to 7 foldings.
Alternatively, the above-mentioned discounting referred to can also be become to give the reward voucher of different amounts, gift according to user profile Product, the price reduction for carrying out different dimensions etc..
It should be noted that some that these are only that the embodiment of the present invention enumerates match corresponding price for user profile Adjustable strategies.Correspondingly, server can combine the multinomial information that the user profile includes, such as the multinomial letter in behavioural information Cease, the multinomial information in attribute information, or behavioural information and attribute information to match corresponding price for the targeted customer Adjustable strategies.Wherein, other strategies for user profile matching price adjustment policy belong to the protection of the embodiment of the present invention Scope.
For example, if multinomial information in bonding behavior information, set price adjustable strategies for the targeted customer.Such as this The access frequency for the A class commodity pages that user profile includes and on e-commerce website to the shopping frequency institute of A class commodity The user of reflection is for the attention rate of A class commodity, a kind of corresponding price adjustment policy, for example, the price adjustment policy include but It is not limited to be more than or equal to the first preset visit frequency threshold value to the access frequency including the A class commodity pages, and to A classes When the shopping frequency of commodity is more than or equal to the first preset shopping frequency threshold, reflect the user for A class commodity Attention rate is 100%, makes a call to 7 foldings;Frequency is accessed being more than or equal to preset second to the access frequency including the A class commodity pages Rate threshold value, and when being more than or equal to the second preset shopping frequency threshold to the shopping frequencies of A class commodity, reflect the user Attention rate for A class commodity is 80%, makes a call to 8 foldings.Second visit frequency threshold value is less than the first visit frequency threshold value, and this second Frequency threshold of doing shopping is less than the first shopping frequency threshold.
S103, server are according to the price adjustment policy that matches to the price of the commodity included in the commodity page Information is adjusted;
The commodity page after adjustment is returned to the terminal and shown by S104, server.
It should be noted that in step s 102, server can match corresponding just for the user profile of targeted customer Price adjustment policy.In step s 103, server can be carried out according to the price adjustment policy to the pricing information of commodity Adjustment, shows so that terminal can intelligently carry out price.Wherein, the pricing information is not limited to following any one including peace Or multinomial original cost, discounted price, discount.
For example, if the price adjustment policy of matching is in user to be 80%-100% to the attention rate of commodity 2 to this When, make a call to 6 foldings.If it is 200 yuan that the pricing information of commodity, which is commodity original cost, 200 yuan of discounted price, discount 0.According to the price adjustment plan After being slightly adjusted to the pricing informations of commodity, 200 yuan of original cost in the pricing information of commodity, 120 yuan of discounted price, the folding of discount 6.
Specifically, actual price adjustment policy can be combined, to carry out the adjustment of commodity price information, these are only this The example that inventive embodiments are enumerated.
It should be noted that in step S104, the commodity page after adjustment can be returned to the terminal and entered by server Row display.
For example, if after being adjusted according to the price adjustment policy to the pricing information of commodity, the price letter of commodity 200 yuan of original cost in breath, 120 yuan of discounted price, the folding of discount 6.The pricing information of the relevant position for the commodity page that terminal is shown will be 200 yuan of original cost, 120 yuan of discounted price, the folding of discount 6.
It can be seen that in embodiment shown in Fig. 1, server can receive targeted customer by being used for transmitted by terminal When accessing the access request of the commodity page, determine to adjust with the price that the targeted customer matches according to the user profile of targeted customer Whole strategy, and the commodity page after adjusting pricing information is returned to by the terminal according to the price adjustment policy and shown, from And reached according to the purpose that user profile is user flexibility adjustment commodity price, and cause the commodity showed for each user The page has more specific aim and personalization.
A kind of referring to Fig. 2, schematic flow sheet of the data processing method provided for yet another embodiment of the invention.Wherein, This method may comprise steps of:
S201, targeted customer is being received by when being used to access the access request of the commodity page, being obtained transmitted by terminal Take the user profile of the targeted customer.
It should be noted that server after execution of step S201, can perform step S202, step S204 side by side.
In the embodiment of the present invention, an information bank can be established, for storing at least one user's mark and each user User profile corresponding to mark, the user profile include behavioural information and attribute information.
Alternatively, behavior information comprises at least any one of following or multinomial:The content of web search, the page accessed, Access frequency for specified page, the shopping frequency in e-commerce website.The attribute information comprises at least any one of following It is or multinomial:Sex, residence, age, occupation, the level of consumption.On the detailed of the every terms of information of behavioural information and attribute information It is thin to introduce, refer to embodiment 1.
Alternatively, the mark of the user can be carried in the access request that the terminal is sent, such as name, identity (Identity, ID), cell-phone number, mailbox, the pet name etc..Server can be looked into according to the mark of the targeted customer in the information bank Ask the user profile of the targeted customer.
S202, the user profile to the targeted customer are analyzed, and obtain the targeted customer to the commodity page In the attention rate of commodity that includes;
S203, the price adjustment policy to match with the targeted customer is obtained according to the attention rate.
In the embodiment of the present invention, the attention rate can browse in the behavioural information according to targeted customer the commodity page when The factors such as frequency that is long, accessing the commodity page, the duration stopped in the commodity page determine.Wherein, the attention rate can be used It is middle and high, low to represent, specific numerical value can also be converted into according to behavioural information to represent, such as percentage.
Alternatively, the attention rate can also be according to browsing the duration of each commodity page, access the frequency of each commodity page The factors such as rate, the duration stopped in each commodity page determine.
Still optionally further, in step S202, server can also enter to one or more information in behavioural information Row analysis, to obtain the attention rate to the commodity of the targeted customer.In step S203, server can be according to the attention rate Obtain the price adjustment policy to match with the targeted customer.
, can be with for price adjustment policy corresponding to the different attention rate of commodity 2 it should be noted that by taking commodity 2 as an example It is:User is higher to the attention rate of commodity 2, then the discount dynamics of price adjustment policy corresponding goods 2 is bigger.Wherein, attention rate Height can exceed some preset attention rate threshold value to the attention rate of commodity 2 in the user, or in some preset pass During note degree scope.
If for example, price adjustment policy be user to the attention rate of commodity 2 is high when, make a call to 6 foldings.In user to commodity 2 Attention rate for it is low when, do not give a discount.If by the analysis to targeted customer's behavioural information, determine that the targeted customer is closed to commodity 2 Note degree to be low, then the price adjustment policy for targeted customer's matching be user to the attention rate of commodity 2 is low when, do not beat Folding.
Specifically, if the duration for browsing the page of commodity 2 is shorter, it is determined that the targeted customer gets over to the attention rate of commodity 2 Low, then the discount dynamics of price adjustment policy is smaller.If for example, the duration for browsing the page of commodity 2 be less than it is preset when browsing Long threshold value, it is determined that the targeted customer is low to the attention rate of commodity 2, then corresponding price adjustment policy can be not give a discount.
Specifically, if the frequency for accessing the commodity 2 is higher, it is determined that the targeted customer is higher to the attention rate of commodity 2, then The discount dynamics of price adjustment policy is bigger.For example, if the frequency for accessing the commodity 2 exceedes preset peak frequency threshold value, such as 20 times, it is determined that the targeted customer is height to the attention rate of commodity 2, then corresponding price adjustment policy can be to make a call to 6 foldings.
Specifically, if the duration of commodity page stop is longer, it is determined that the targeted customer gets over to the attention rate of commodity 2 Height, then the discount dynamics of price adjustment policy is bigger.If for example, stop when a length of -1 hour 20 minutes, it is determined that the target User is height to the attention rate of commodity 2, then corresponding price adjustment policy can be to make a call to 6 foldings.The stay time is effective for user's Operate duration.
S204, the user profile to the targeted customer are analyzed, and determine the classification belonging to the targeted customer;
S205, the price adjustment plan to match with the targeted customer is obtained according to the classification belonging to the targeted customer Slightly.
In the embodiment of the present invention, the category can be according in attribute information, as the age, residence, occupation, sex, Multiple information such as the level of consumption obtain after being classified.Correspondingly, different dimensions is can be combined with to be classified, such as occupation, The level of consumption.
Alternatively, contribute to preferably to grasp the purchasing power of user by the analysis to attribute information, and can be directed to not Corresponding price adjustment policy is provided with purchasing power, is advantageous to the push of personal page.The purchasing power, including but not limited to The forms such as word, numeral are presented.
Still optionally further, in step S204, server can also enter to one or more information in attribute information Row analysis, to determine the classification belonging to the targeted customer.In step S205, classification that server can be belonging to the targeted customer Obtain the price adjustment policy to match with the targeted customer.
For example, by taking cosmetics 3 as an example, the applicable crowd of the cosmetics 3 is 20-25 year, for the targeted customer's Price adjustment policy corresponding to classification can be:When belonging to 20-25 year at the age of user, maximum-discount is enjoyed, such as 6 foldings.Should User comprises at least targeted customer.
Again for example, by taking cosmetics 4 as an example, the cosmetics 4 are luxury goods, for corresponding to the classification of the targeted customer Price adjustment policy can be:The level of consumption of the user is higher, then it is bigger to correspond to discount dynamics in price adjustment policy.The use Family comprises at least targeted customer.
Wherein, the level of consumption is higher, it was demonstrated that the targeted customer is stronger to the purchasing power of the luxury goods, then by offseting water wasting Flat analysis would be even more beneficial to the personalized push of the commodity page.Wherein, the level of consumption is high, Ke Yishi, monthly/business is bought every year The total price of product exceedes some preset total price scope or in some preset total price scope, can also be that average purchase is each The average price of commodity exceedes some preset average price scope or in some preset average price scope.
Again for example, by taking cosmetics 5 as an example, the applicable crowd of the cosmetics 5 is women, for the class of the targeted customer Not corresponding price adjustment policy can be:When the sex of user is women, discount is enjoyed, such as 9 foldings.The user comprises at least Targeted customer.
Again for example, by taking commodity 2 as an example, the applicable crowd of the commodity 2 is student, for the classification pair of the targeted customer The price adjustment policy answered can be:User for student when, enjoy maximum-discount, such as 6 foldings.The user comprises at least target User.
It should be noted that in the price adjustment for determining to match with the targeted customer according to the user profile of the targeted customer When strategy has multinomial, server then obtains the most price adjustment policy of discount.
S206, enter according to the pricing information for matching commodity of the price adjustment policy to being included in the commodity page Row adjustment;
S207, the commodity page after adjustment is returned into the terminal shown.
It should be noted that in step S207, server can be believed the price of commodity according to the price adjustment policy Breath is adjusted, and is shown so that terminal can intelligently carry out price.Wherein, the pricing information includes but is not limited to following appoint Anticipate one or more original costs, discounted price, discount.
For example, if matching price adjustment policy be user to this to the attention rate of commodity 2 is high when, make a call to 6 foldings. If it is 200 yuan that the pricing information of commodity, which is commodity original cost, 200 yuan of discounted price, discount 0.According to the price adjustment policy to commodity Pricing information be adjusted after, 200 yuan of original cost in the pricing information of commodity, 120 yuan of discounted price, the folding of discount 6.
Specifically, actual price adjustment policy can be combined, to carry out the adjustment of commodity price information, these are only this The example that inventive embodiments are enumerated.
It should be noted that in step S207, the commodity page after adjustment can be returned to the terminal and entered by server Row display.
For example, if after being adjusted according to the price adjustment policy to the pricing information of commodity, the price letter of commodity 200 yuan of original cost in breath, 120 yuan of discounted price, the folding of discount 6.The pricing information of the relevant position for the commodity page that terminal is shown will be 200 yuan of original cost, 120 yuan of discounted price, the folding of discount 6.
It can be seen that in embodiment shown in Fig. 2, server can receive targeted customer by being used for transmitted by terminal When accessing the access request of the commodity page, according to targeted customer to the class described in the attention rate of the commodity or the targeted customer The price adjustment policy that Que Ding do not match with the targeted customer, and according to the price adjustment policy will adjust pricing information after The commodity page returns to the terminal and shown, can be that user flexibility adjusts commodity price according to user profile, so that Specific aim and personalization are had more for the commodity page that each user shows.
Referring to Fig. 3, Fig. 3 is a kind of structural representation of server provided in an embodiment of the present invention.The server includes For performing the unit of the method described in Fig. 1-Fig. 2 embodiments.The server includes acquiring unit 301, adjustment unit 302, hair Unit 303 is sent, in addition to establishes unit 304, determining unit 305.Wherein, the server, including:
Acquiring unit 301, for receive targeted customer pass through transmitted by terminal be used for access the visit of the commodity page When asking request, the user profile of the targeted customer is obtained;
The acquiring unit 301, the user profile according to the targeted customer is additionally operable to, obtained and targeted customer's phase The price adjustment policy of matching;
Adjustment unit 302, for according to the price adjustment policy that matches to the commodity that are included in the commodity page Pricing information be adjusted;
Transmitting element 303, shown for the commodity page after adjustment to be returned into the terminal.
Alternatively, unit 304 is established, for establishing information bank, described information storehouse is used to store at least one user's mark And user profile corresponding to each user's mark, the user profile include behavioural information and attribute information.
Wherein, behavior information comprises at least any one of following or multinomial:The content of web search, the page accessed, pin Access frequency to specified page, the shopping frequency in e-commerce website;The attribute information comprise at least it is any one of following or It is multinomial:Sex, age, occupation, the level of consumption.
Alternatively, the mark of targeted customer is carried in the access request;The acquiring unit 301, specifically for basis The mark of the targeted customer inquires about the user profile of the targeted customer in described information storehouse.
Alternatively, the acquiring unit 301, specifically for analyzing the user profile of the targeted customer, obtain The targeted customer is to the attention rate of the commodity included in the commodity page;Obtain according to the attention rate and used with the target The price adjustment policy that family matches.
Alternatively, the acquiring unit 301, specifically for analyzing the user profile of the targeted customer, it is determined that Classification belonging to the targeted customer;The valency to match with the targeted customer is obtained according to the classification belonging to the targeted customer Lattice adjustable strategies.
Optionally it is determined that unit 305, for the classification belonging to the commodity that determine to include in the commodity page, according to institute State the classification belonging to commodity and obtain the price adjustment policy to match with the targeted customer.
Alternatively, the determining unit 305, it is additionally operable to determine that the targeted customer sends the access by the terminal The time of request, the price adjustment policy to match with the targeted customer is obtained according to the time.
It can be seen that in embodiment shown in Fig. 3, server can receive targeted customer by being used for transmitted by terminal When accessing the access request of the commodity page, determine to adjust with the price that the targeted customer matches according to the user profile of targeted customer Whole strategy, and the commodity page after adjusting pricing information is returned to by the terminal according to the price adjustment policy and shown, can To adjust commodity price as user flexibility according to user profile, so that having more pin for the commodity page that each user shows To property and personalization.
Fig. 4 is referred to, is a kind of structural representation for server that yet another embodiment of the invention provides.As depicted originally Server in embodiment can include:One or more processors 401, one or more input equipments 402 are one or more Output equipment 403 and memory 404.Above-mentioned processor 401, input equipment 402, output equipment 403 and memory 404 are by total Line 405 connects.Memory 402 is used for store instruction, and processor 401 is used for the instruction for performing the storage of memory 402.Wherein, locate Reason device 401 is arranged to call described program instruction to perform:
Targeted customer is being received by transmitted by terminal when being used to access the access request of the commodity page, described in acquisition The user profile of targeted customer;
According to the user profile of the targeted customer, the price adjustment policy to match with the targeted customer is obtained;
Adjusted according to the pricing information for matching commodity of the price adjustment policy to being included in the commodity page It is whole;
The commodity page after adjustment is returned into the terminal to be shown.
Alternatively, processor 401 is configured to be additionally operable to call described program instruction to perform:
Information bank is established, described information storehouse is used to store user corresponding at least one user's mark and each user's mark Information, the user profile include behavioural information and attribute information;
Wherein, the behavioural information comprises at least any one of following or multinomial:The content of web search, the page accessed, Access frequency for specified page, the shopping frequency in e-commerce website;
The attribute information comprises at least any one of following or multinomial:Sex, age, occupation, the level of consumption.
Alternatively, processor 401 is arranged to call described program instruction to perform the acquisition targeted customer's User profile, specifically for performing:
The user profile of the targeted customer is inquired about in described information storehouse according to the mark of the targeted customer;The visit Ask the mark that targeted customer is carried in request;
Alternatively, processor 401 is arranged to call described program instruction execution described according to the targeted customer's User profile, the price adjustment policy to match with the targeted customer is obtained, specifically for performing:
The user profile of the targeted customer is analyzed, obtains the targeted customer to being included in the commodity page Commodity attention rate;
The price adjustment policy to match with the targeted customer is obtained according to the attention rate.
Alternatively, processor 401 is arranged to call described program instruction execution described according to the targeted customer's User profile, the price adjustment policy to match with the targeted customer is obtained, specifically for performing:
The user profile of the targeted customer is analyzed, determines the classification belonging to the targeted customer;
The price adjustment policy to match with the targeted customer is obtained according to the classification belonging to the targeted customer.
Alternatively, processor 401 is configured to be additionally operable to call described program instruction to perform:
The classification belonging to the commodity that are included in the commodity page is determined, is obtained according to the classification belonging to the commodity and institute State the price adjustment policy that targeted customer matches.
Alternatively, processor 401 is configured to be additionally operable to call described program instruction to perform:
Determine that the targeted customer sends the time of the access request by the terminal, according to the time obtain with The price adjustment policy that the targeted customer matches.
It should be appreciated that in embodiments of the present invention, alleged processor 401 can be CPU (Central Processing Unit, CPU), the processor can also be other general processors, digital signal processor (Digital Signal Processor, DSP), application specific integrated circuit (Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other FPGAs Device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor or this at It can also be any conventional processor etc. to manage device.
Input equipment 402 can include Trackpad, microphone etc., output equipment 403 can include display (LCD etc.), Loudspeaker etc..Input equipment 402, output equipment 403 can also include being used to realize port/interface of each inter-machine communication etc..
The memory 404 can include read-only storage and random access memory, and to processor 401 provide instruction and Data.The a part of of memory 404 can also include nonvolatile RAM.For example, memory 404 can also be deposited Store up the information of device type.
In the specific implementation, processor 401, input equipment 402, the output equipment 403 described in the embodiment of the present invention can The implementation described in first embodiment and second embodiment provided in an embodiment of the present invention is performed, will not be repeated here.
A kind of computer-readable recording medium, the computer-readable storage medium are provided in another embodiment of the invention Matter is stored with computer program, and the computer program is realized when being executed by processor:Pass through terminal receiving targeted customer It is transmitted when being used to access the access request of the commodity page, obtain the user profile of the targeted customer;According to the target The user profile of user, obtain the price adjustment policy to match with the targeted customer;According to the price adjustment that matches The pricing information of commodity of the strategy to being included in the commodity page is adjusted;The commodity page after adjustment is returned to described Terminal is shown.
The computer-readable recording medium can be the internal storage unit of the server described in foregoing any embodiment, Such as the hard disk or internal memory of server.The computer-readable recording medium can also be that the external storage of the server is set Plug-in type hard disk that is standby, such as being equipped with the server, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) blocks, flash card (Flash Card) etc..Further, the computer-readable recording medium is also The internal storage unit of the server can both be included or including External memory equipment.The computer-readable recording medium is used In other programs and data needed for the storage computer program and the server.The computer-readable recording medium It can be also used for temporarily storing the data that has exported or will export.
Those of ordinary skill in the art are it is to be appreciated that the list of each example described with reference to the embodiments described herein Member and algorithm steps, it can be realized with electronic hardware, computer software or the combination of the two, in order to clearly demonstrate hardware With the interchangeability of software, the composition and step of each example are generally described according to function in the above description.This A little functions are performed with hardware or software mode actually, application-specific and design constraint depending on technical scheme.Specially Industry technical staff can realize described function using distinct methods to each specific application, but this realization is not It is considered as beyond the scope of this invention.
It is apparent to those skilled in the art that for convenience of description and succinctly, the clothes of foregoing description The specific work process of business device and unit, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
In several embodiments provided herein, it should be understood that disclosed server and method, can pass through Other modes are realized.For example, device embodiment described above is only schematical, for example, the division of the unit, Only a kind of division of logic function, can there is an other dividing mode when actually realizing, such as multiple units or component can be with With reference to or be desirably integrated into another system, or some features can be ignored, or not perform.It is in addition, shown or discussed Mutual coupling or direct-coupling or communication connection can be the INDIRECT COUPLINGs or logical by some interfaces, device or unit Letter connection or electricity, the connection of mechanical or other forms.
The unit illustrated as separating component can be or may not be physically separate, show as unit The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple On NE.Some or all of unit therein can be selected to realize scheme of the embodiment of the present invention according to the actual needs Purpose.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also It is that unit is individually physically present or two or more units are integrated in a unit.It is above-mentioned integrated Unit can both be realized in the form of hardware, can also be realized in the form of SFU software functional unit.
If the integrated unit is realized in the form of SFU software functional unit and is used as independent production marketing or use When, it can be stored in a computer read/write memory medium.Based on such understanding, technical scheme is substantially The part to be contributed in other words to prior art, or all or part of the technical scheme can be in the form of software product Embody, the computer software product is stored in a storage medium, including some instructions are causing a computer Equipment (can be personal computer, server, or network equipment etc.) performs the complete of each embodiment methods described of the present invention Portion or part steps.And foregoing storage medium includes:USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey The medium of sequence code.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any Those familiar with the art the invention discloses technical scope in, various equivalent modifications can be readily occurred in or replaced Change, these modifications or substitutions should be all included within the scope of the present invention.Therefore, protection scope of the present invention should be with right It is required that protection domain be defined.

Claims (10)

1. a kind of data processing method, it is characterised in that methods described includes:
Targeted customer is being received by when being used to access the access request of the commodity page, obtaining the target transmitted by terminal The user profile of user;
According to the user profile of the targeted customer, the price adjustment policy to match with the targeted customer is obtained;
It is adjusted according to the pricing information for matching commodity of the price adjustment policy to being included in the commodity page;
The commodity page after adjustment is returned into the terminal to be shown.
2. according to the method for claim 1, it is characterised in that methods described also includes:
Information bank is established, described information storehouse is used to store user's letter corresponding at least one user's mark and each user's mark Breath, the user profile include behavioural information and attribute information;
Wherein, the behavioural information comprises at least any one of following or multinomial:The content of web search, the page accessed, it is directed to The access frequency of specified page, the shopping frequency in e-commerce website;
The attribute information comprises at least any one of following or multinomial:Sex, age, occupation, the level of consumption.
3. according to the method for claim 2, it is characterised in that the mark of targeted customer is carried in the access request;Institute The user profile for obtaining the targeted customer is stated, including:
The user profile of the targeted customer is inquired about in described information storehouse according to the mark of the targeted customer.
4. according to the method described in claim any one of 1-3, it is characterised in that described to be believed according to the user of the targeted customer Breath, the price adjustment policy to match with the targeted customer is obtained, including:
The user profile of the targeted customer is analyzed, obtains the targeted customer to the business that is included in the commodity page The attention rate of product;
The price adjustment policy to match with the targeted customer is obtained according to the attention rate.
5. according to the method described in claim any one of 1-3, it is characterised in that described to be believed according to the user of the targeted customer Breath, the price adjustment policy to match with the targeted customer is obtained, including:
The user profile of the targeted customer is analyzed, determines the classification belonging to the targeted customer;
The price adjustment policy to match with the targeted customer is obtained according to the classification belonging to the targeted customer.
6. according to the method for claim 1, it is characterised in that methods described also includes:
The classification belonging to the commodity that are included in the commodity page is determined, is obtained and the mesh according to the classification belonging to the commodity The price adjustment policy that mark user matches.
7. according to the method for claim 1, it is characterised in that methods described also includes:
Determine that the targeted customer sends the time of the access request by the terminal, according to the time obtain with it is described The price adjustment policy that targeted customer matches.
8. a kind of server, it is characterised in that the server includes being used to perform such as claim 1-7 any claims institute The unit for the method stated.
A kind of 9. server, it is characterised in that including processor, input equipment, output equipment and memory, the processor, Input equipment, output equipment and memory are connected with each other, wherein, the memory is used to store application code, the place Reason device is arranged to call described program code, performs the method as described in claim any one of 1-7.
A kind of 10. computer-readable recording medium, it is characterised in that the computer-readable storage medium is stored with computer program, The computer program includes programmed instruction, and described program instruction makes the computing device such as right when being executed by a processor It is required that the method described in any one of 1-7.
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CN109508286A (en) * 2018-09-28 2019-03-22 中国平安人寿保险股份有限公司 User shunts production verification method, device and computer readable storage medium
WO2020140768A1 (en) * 2018-12-30 2020-07-09 上海掌门科技有限公司 Discount information determination method and apparatus, and electronic device and medium
CN110852798A (en) * 2018-12-30 2020-02-28 上海掌门科技有限公司 Preferential information determination method and device, electronic equipment and medium
CN111475749A (en) * 2019-01-24 2020-07-31 北京字节跳动网络技术有限公司 Information display target optimization method and device, electronic equipment and readable medium
CN109598564A (en) * 2019-02-21 2019-04-09 上海宝尊电子商务有限公司 The calculation method and device of a kind of user with timeliness to commodity interest level
CN110415082A (en) * 2019-07-26 2019-11-05 华世界网络科技(深圳)有限公司 Price methods of exhibiting, device, server and storage medium based on ring layer
CN111709772A (en) * 2020-05-22 2020-09-25 深圳市元征科技股份有限公司 User management method, user management device and server
CN111709773A (en) * 2020-05-22 2020-09-25 深圳市元征科技股份有限公司 User management method, user management device and server
CN111967913A (en) * 2020-08-25 2020-11-20 珠海格力电器股份有限公司 Commodity attention analysis method, device and system based on electronic price tags

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