CN105404628A - Data pushing method and device - Google Patents
Data pushing method and device Download PDFInfo
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- CN105404628A CN105404628A CN201410465539.4A CN201410465539A CN105404628A CN 105404628 A CN105404628 A CN 105404628A CN 201410465539 A CN201410465539 A CN 201410465539A CN 105404628 A CN105404628 A CN 105404628A
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Abstract
The invention discloses a data pushing method and device. The method comprises the following steps: obtaining a first exchange object determined by a first client side and an object ID (Identity) of the first exchange object; according to the object ID, obtaining one or multiple pieces of correlation category data, wherein each piece of correlation category data comprises the association object name of a first association object and the attribute data of the first association object, and the first association object is an object which has a preset association relationship with the first exchange object; according to the attribute data of the first association object, extracting a second association object from the first association object; and taking the association object name of the extracted second association object and the picture data of the second association object as pushed data, and sending the pushed data to the first client side. The data pushing method and device solve the problem in the prior art that the pushed data is lagging and is inaccurate, realize real-time data pushing and are high in the accuracy of the pushed data.
Description
Technical field
The application relates to data processing field, in particular to a kind of data push method and device.
Background technology
In prior art, user, when the commodity browsed web sites, sees the dotey admired, usually can be irresolute because of not knowing how to arrange in pairs or groups, final delay or abandon buy.Therefore, the website of prior art has data-pushing function.
Particularly, can according to the navigation patterns of user and buying behavior data analysis in prior art, find the classification that the dotey that browses with user is similar or relevant, filter out user and bought classification and duplicate removal, when user again login page time, dotey relevant for classification is recommended user; Can also work as user in prior art takes a fancy to after commodity enter details page, except the detailed description of these commodity, directly compare with these commodity the tie-in sale be suitable for, as a pair of trousers, it looks good with any material, the jacket-> shoes-> of style wraps-> overcoat-> jewelry-> hair decorations etc., and mixes the effect picture of several groups of collocation.
Above-mentioned data push method is generally that when user browses webpage again, by related products recommendation to user, such data-pushing is more delayed according to user's browsing and buying behavior in the past, and directly perceived, correlativity is not high yet.
For propelling data in prior art delayed and push the inaccurate problem of data, at present effective solution is not yet proposed.
Application content
For propelling data in correlation technique delayed and push the inaccurate problem of data, not yet propose effective solution at present, for this reason, the fundamental purpose of the application is to provide a kind of data push method and device, to solve the problem.
To achieve these goals, according to an aspect of the application, provide a kind of data push method, the method comprises: the object ID obtaining the first exchangeable object that the first client determines and the first exchangeable object; One or more association classification data are obtained according to object ID, wherein, each association classification packet draws together the affiliated partner title of the first affiliated partner and the attribute data of the first affiliated partner, and wherein, the first affiliated partner is the object that there is the incidence relation preset with the first exchangeable object; From the first affiliated partner, the second affiliated partner is extracted according to the attribute data of the first affiliated partner; Using the image data of the affiliated partner title of the second affiliated partner extracted and the second affiliated partner as propelling data, propelling data is sent to the first client.
Further, obtain one or more association classification packet draw together according to object ID: the object classification obtaining object ID associates classification with the object class object preset, wherein, object class object association classification reads from the first database; The first history using object ID to search the first exchangeable object in the second database exchanges data, and wherein, the first history exchange data packets draws together one or more second clients the first exchangeable object being performed to swap operation; The second history obtaining each second client exchanges data, and wherein, the second history exchange data packets draws together multiple second exchangeable objects of the second client executing swap operation; First affiliated partner of each association class object second exchangeable object as each association classification data will be belonged to.
Further, attribute data comprises exchange times, wherein, from the first affiliated partner, extract the second affiliated partner according to the attribute data of the first affiliated partner to comprise: add up each second client performs swap operation exchange times to the first affiliated partner, obtain the second client performs swap operation exchange total degree to the first affiliated partner; Calculate the weighted value of the exchange total degree of each the first affiliated partner; The first affiliated partner in each association classification is sorted from big to small according to weighted value, obtains the first object sequence; From each first object sequence, extract sequence at the first affiliated partner of top N, as the second affiliated partner, wherein, N be greater than zero natural number.
Further, after the object classification and default object class object that obtain object ID associate classification, data push method also comprises: when using object ID to search in the second database less than the first history exchange data, obtain the object elements of the first exchangeable object; The associated element of object elements from the first database, wherein, associated element is one or more; The 3rd affiliated partner with associated element is obtained from the second database; Add up the number carrying associated element in the 3rd affiliated partner; The number carrying associated element is greater than the 3rd affiliated partner of predetermined threshold value as the second affiliated partner.
Further, from the first affiliated partner, extract the second affiliated partner according to the attribute data of the first affiliated partner and comprise: respectively from an association classification extracting data second affiliated partner, obtain one or more second affiliated partner; The affiliated partner title of the second affiliated partner extracted and the image data of the second affiliated partner are comprised as propelling data: using the affiliated partner title of one or more second affiliated partner and image data as propelling data; Return execution respectively from the step of an association classification extracting data second affiliated partner, obtain multiple propelling data, until the number of the propelling data obtained meets predetermined number.
Further, swap operation is that client uses virtual resource to exchange the operation of exchangeable object for.
To achieve these goals, according to the another aspect of the application, provide a kind of data-pushing device, this device comprises: the first acquisition module, for obtaining the object ID of the first exchangeable object that the first client determines and the first exchangeable object; Second acquisition module, for obtaining one or more association classification data according to object ID, wherein, each association classification packet draws together the affiliated partner title of the first affiliated partner and the attribute data of the first affiliated partner, wherein, the first affiliated partner is the object that there is the incidence relation preset with the first exchangeable object; Extraction module, extracts the second affiliated partner for the attribute data according to the first affiliated partner from the first affiliated partner; Pushing module, for the image data of the affiliated partner title of the second affiliated partner that will extract and the second affiliated partner as propelling data, is sent to the first client by propelling data.
Further, the second acquisition module comprises: first obtains submodule, associates classification for the object classification obtaining object ID with the object class object preset, and wherein, object class object association classification reads from the first database; Search module, exchange data for the first history using object ID to search the first exchangeable object in the second database, wherein, the first history exchange data packets draws together one or more second clients the first exchangeable object being performed to swap operation; Second obtains submodule, and exchange data for the second history obtaining each second client, wherein, the second history exchange data packets draws together multiple second exchangeable objects of the second client executing swap operation; First determination module, for belonging to first affiliated partner of each association class object second exchangeable object as each association classification data.
Further, attribute data comprises exchange times, and wherein, extraction module comprises: statistics submodule, for adding up the exchange times of each second client to the first affiliated partner execution swap operation, obtain the second client performs swap operation exchange total degree to the first affiliated partner; First computing module, for calculating the weighted value of the exchange total degree of each the first affiliated partner; Order module, for sorting from big to small according to weighted value to the first affiliated partner in each association classification, obtains the first object sequence; Second determination module, for extracting sequence at the first affiliated partner of top N from each first object sequence, as the second affiliated partner, wherein, N be greater than zero natural number.
Further, data-pushing device also comprises: the 3rd acquisition module, after associating classification at the object classification and default object class object that obtain object ID, when using object ID to search in the second database less than the first history exchange data, obtain the object elements of the first exchangeable object; Read module, for the associated element of object elements from the first database, wherein, associated element is one or more; 4th acquisition module, for obtaining the 3rd affiliated partner with associated element from the second database; Statistical module, for adding up the number carrying associated element in the 3rd affiliated partner; 3rd determination module, for being greater than the 3rd affiliated partner of predetermined threshold value as the second affiliated partner using the number carrying associated element.
Further, extraction module comprises: extract submodule, for respectively from an association classification extracting data second affiliated partner, obtains one or more second affiliated partner; Pushing module comprises: the 4th determination module, for using the affiliated partner title of one or more second affiliated partner and image data as propelling data; Circulation execution module, for returning execution respectively from the step of an association classification extracting data second affiliated partner, obtains multiple propelling data, until the number of the propelling data obtained meets predetermined number.
Further, swap operation is that client uses virtual resource to exchange the operation of exchangeable object for.
Adopt the embodiment of the present application, obtain the first exchangeable object that the first client determines and and object ID, then one or more association classification data are obtained according to object ID, and from the first affiliated partner, extract the second affiliated partner according to the attribute data of the first affiliated partner, using the image data of the affiliated partner title of the second affiliated partner extracted and the second affiliated partner as propelling data, propelling data is sent to the first client.In above-described embodiment of the application, the first exchangeable object determined according to client obtains one or more association classification data, and extract the second affiliated partner according to the attribute data of the first exchangeable object from existing the first affiliated partner of incidence relation with the first exchangeable object, generate propelling data.Not only after user determines the first exchangeable object, just propelling data can be sent to client by above-described embodiment, and propelling data determines according to the attribute data of the first exchangeable object, thus propelling data and the first exchangeable object have very strong relevance, accuracy is very high, thus solve propelling data in prior art delayed and push the inaccurate problem of data, achieve pushed data in real time, and the data accuracy pushed is very high.
Accompanying drawing explanation
Accompanying drawing described herein is used to provide further understanding of the present application, and form a application's part, the schematic description and description of the application, for explaining the application, does not form the improper restriction to the application.In the accompanying drawings:
Fig. 1 is the process flow diagram of the data push method according to the embodiment of the present application; And
Fig. 2 is the schematic diagram of the data-pushing device according to the embodiment of the present application.
Embodiment
The application's scheme is understood better in order to make those skilled in the art person, below in conjunction with the accompanying drawing in the embodiment of the present application, technical scheme in the embodiment of the present application is clearly and completely described, obviously, described embodiment is only the embodiment of the application's part, instead of whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not making the every other embodiment obtained under creative work prerequisite, all should belong to the scope of the application's protection.
It should be noted that, term " first ", " second " etc. in the instructions of the application and claims and above-mentioned accompanying drawing are for distinguishing similar object, and need not be used for describing specific order or precedence.Should be appreciated that the data used like this can be exchanged in the appropriate case, so as the embodiment of the application described herein can with except here diagram or describe those except order implement.In addition, term " comprises " and " having " and their any distortion, intention is to cover not exclusive comprising, such as, contain those steps or unit that the process of series of steps or unit, method, system, product or equipment is not necessarily limited to clearly list, but can comprise clearly do not list or for intrinsic other step of these processes, method, product or equipment or unit.
Fig. 1 is the process flow diagram of the data push method according to the embodiment of the present application, and the method comprises the steps: as shown in Figure 1
Step S102, obtains the object ID of the first exchangeable object that the first client determines and the first exchangeable object.
Step S104, obtains one or more association classification data according to object ID.
Wherein, each association classification packet draws together the affiliated partner title of the first affiliated partner and the attribute data of the first affiliated partner, and wherein, the first affiliated partner is the object that there is the incidence relation preset with the first exchangeable object.
Step S106, extracts the second affiliated partner according to the attribute data of the first affiliated partner from the first affiliated partner.
Step S108, using the image data of the affiliated partner title of the second affiliated partner extracted and the second affiliated partner as propelling data, is sent to the first client by propelling data.
Adopt the embodiment of the present application, obtain the first exchangeable object that the first client determines and and object ID, then one or more association classification data are obtained according to object ID, and from the first affiliated partner, extract the second affiliated partner according to the attribute data of the first affiliated partner, using the image data of the affiliated partner title of the second affiliated partner extracted and the second affiliated partner as propelling data, propelling data is sent to the first client.In above-described embodiment of the application, the first exchangeable object determined according to client obtains one or more association classification data, and extract the second affiliated partner according to the attribute data of the first exchangeable object from existing the first affiliated partner of incidence relation with the first exchangeable object, generate propelling data.Not only after user determines the first exchangeable object, just propelling data can be sent to client by above-described embodiment, and propelling data determines according to the attribute data of the first exchangeable object, thus propelling data and the first exchangeable object have very strong relevance, accuracy is very high, thus solve propelling data in prior art delayed and push the inaccurate problem of data, achieve pushed data in real time, and the data accuracy pushed is very high.
In above-described embodiment, swap operation is that client uses virtual resource to exchange the operation of exchangeable object for.Particularly, virtual resource can comprise: the ideal money etc. on network.
Specific in above-described embodiment, the first exchangeable object can be the object that the first client use virtual resource exchanges for, and the first client can be the terminal such as mobile terminal, PC, and mobile terminal can comprise smart mobile phone, panel computer etc.
Such as, in Taobao's application program, the first client can buy the commodity on Taobao market by electronic money, these commodity are the first exchangeable object in above-described embodiment.
In above-described embodiment of the application, step S102 specifically can realize by the following method: the details page of the first Client browse first exchangeable object, then determine that the first client determines the first exchangeable object.
This details page can be the details page of the commodity in Taobao.
According to above-described embodiment of the application, obtaining one or more association classification data according to object ID can comprise: the object classification obtaining object ID associates classification with the object class object preset, and wherein, object class object association classification reads from the first database; The first history using object ID to search the first exchangeable object in the second database exchanges data, and wherein, the first history exchange data packets draws together one or more second clients the first exchangeable object being performed to swap operation; The second history obtaining each second client exchanges data, and wherein, the second history exchange data packets draws together multiple second exchangeable objects of the second client executing swap operation; First affiliated partner of each association class object second exchangeable object as each association classification data will be belonged to.
Particularly, the object classification of the first exchangeable object can be determined by the object ID of the first exchangeable object, then can read from the first database preset there is incidence relation with this object classification associate classification.In the first database, use object ID storage object classification and associate classification, as shown in table 1.Table 1 only makes exemplary illustration, and the embodiment of the present application is not limited to the pattern shown in table 1.
Table 1
| Object ID | Object classification | Association classification |
| 1 | Classification A | Classification A1, classification A2, classification A3 and classification A4 |
Wherein, above-mentioned classification A and classification A1, classification A2, classification A3 and classification A4 only do exemplary theory.Such as, on Taobao website, the object classification of the first exchangeable object can be: jacket, and association classification A1, classification A2, classification A3 and classification A4 can be respectively: overcoat, fitted pants, skirt and footwear.
Determining the association class object of the first exchangeable object simultaneously, first history that object ID can be used in the second database to search the first exchangeable object exchanges data, particularly, it is the historical data in history the first exchangeable object being performed to swap operation of preserving in the second database that first history exchanges data, wherein, the second client to the first exchangeable object execution swap operation and the time performing swap operation can be comprised in this historical data.
Specific on Taobao website, can for searching the historical data of purchase first exchangeable object in the second database, the time buying that buyer's (the second client namely in above-described embodiment) and buyer buy the first exchangeable object can be comprised in this historical data.
Wherein, the second client can use client id to represent, the file layout of the first historical data can the time of not shown execution swap operation (in the table 2) as shown in table 2.
Table 2
| The object ID of the first exchangeable object | Second client |
| item1 | user1 |
| item1 | user2 |
| item1 | user3 |
| … | |
| item1 | userm |
Wherein, user1, user2, user3 and userm in upper table are the client id of the second client.
After acquisition first history exchanges data, obtain the second client and data are exchanged to the history that the second exchangeable object performs swap operation, this second history exchanges the history that can comprise the second client stored in the second database in data and exchanges data, wherein, second exchangeable object can comprise the first exchangeable object, also can not comprise the first exchangeable object.This history exchanges data can be as shown in table 3, and the second exchangeable object shown in table 3 comprises the first exchangeable object.
Table 3
After acquisition second history exchanges data, filtration treatment being carried out to the second exchangeable object, filtering out wherein belonging to above-mentioned association class object second exchangeable object as the first affiliated partner.
Such as, as shown in table 3, the object classification of the first exchangeable object item1 is jacket, and the association classification obtained from the first database is: fitted pants, skirt, footwear; The classification of the second exchangeable object item2 is footwear, the classification of the second exchangeable object item3 is footwear, the classification of the second exchangeable object item4 is skirt, the classification of the second exchangeable object item5 is skirt, the classification of the second exchangeable object item6 is fitted pants, the classification of the second exchangeable object item7 is fitted pants, the classification of the second exchangeable object item8 is cap.Then, use the classification of the second exchangeable object to carry out filtration treatment to the second exchangeable object to obtain belonging to association class object first affiliated partner: item2, item3, item4, item5, item6 and item7.
According to above-described embodiment of the application, attribute data comprises exchange times, wherein, from the first affiliated partner, extract the second affiliated partner according to the attribute data of the first affiliated partner can comprise: add up each second client performs swap operation exchange times to the first affiliated partner, obtain the second client performs swap operation exchange total degree to the first affiliated partner; Calculate the weighted value of the exchange total degree of each the first affiliated partner; The first affiliated partner in each association classification is sorted from big to small according to weighted value, obtains the first object sequence; From each first object sequence, extract sequence at the first affiliated partner of top N, as the second affiliated partner, wherein, N be greater than zero natural number.
Particularly, after acquisition first affiliated partner, obtain the exchange times of the first affiliated partner in the second history exchange data, add up the exchange total degree that the second all client first affiliated partners performs swap operation, then the weighted value of the exchange total degree of each the first affiliated partner is calculated, wherein, weight can be 1.Then the first affiliated partner in each association classification is carried out arrangement according to weighted value order from big to small and obtain the first object sequence; First affiliated partner of sequence in top N is extracted as the second affiliated partner from each first object sequence.
In embodiment as shown in table 3, the exchange total degree of item3 is 3; The exchange total degree of item4 is 2; The exchange total degree of item2 is 1; The exchange total degree of item5 is 1; The exchange total degree of item6 is 1; The exchange total degree of item7 is 2.Weight is in this embodiment 1, then the exchange total degree calculated is weighted value.
First object sequence of the classification A2 fitted pants then obtained is:, item6;
First object sequence of classification A3 skirt is:, item5;
First object sequence of classification A4 footwear is: item3, item2.
After obtaining the first object sequence, from each first object sequence, extract first affiliated partner of sequence in top N as the second affiliated partner.When N equals 1, then the second affiliated partner obtained is item3, item4 and item7.
According to above-described embodiment of the application, after obtaining the second affiliated partner, using the image data of the affiliated partner title of the second affiliated partner extracted and the second affiliated partner as propelling data, propelling data is sent to the first client.
Above-described embodiment of the application, is when there is the first historical data in the second database, can obtains the second affiliated partner, and carry out data-pushing according to above-described embodiment.
By above-described embodiment, can be given a mark by the purchaser record of the user buying these commodity before for there being the commodity of buying behavior (the first exchangeable object namely in above-described embodiment).Particularly, as shown in table 3, these commodity had purchased behavior, which commodity the user so buying these commodity also have purchased at short notice, these commodity are filtered by classification collocation (collocation classification has ready-made data at present), retain the commodity corresponding to classification of concrete Matching Relation, to buy the registration of commodity higher, just the degree of correlation of these commodity is higher.
Particularly, these commodity of item1 were once bought by multiple people, the people buying these commodity has bought again other commodity, commodity corresponding for the classification with Matching Relation are calculated, and calculate the purchased number of times of each commodity, then mark (weighted value namely in above-described embodiment) has just calculated, and releases the collocation commodity of item1 thus.
Obtain object ID object classification and preset object class object associate classification after, when use object ID search in the second database less than first history exchange data, obtain the second affiliated partner as follows.
Particularly, the object elements of the first exchangeable object is obtained; The associated element of object elements from the first database, wherein, associated element is one or more; The 3rd affiliated partner with associated element is obtained from the second database; Add up the number carrying associated element in the 3rd affiliated partner; The number carrying associated element is greater than the 3rd affiliated partner of predetermined threshold value as the second affiliated partner.
In above-described embodiment of the application, object elements can form the element of the first exchangeable object, and if this first exchangeable object is mobile phone, then the object elements of the first exchangeable object can comprise: the object elements such as battery, mobile phone screen, mobile phone model.After acquisition object elements, the associated element of object elements in the first database, then the associated element read can be: the associated element such as cell-phone cover, portable power source, data line, sticking film for mobile phone.
Obtain from the second database and have the 3rd affiliated partner of associated element, the 3rd affiliated partner can the 3rd client or object to be exchanged, if the 3rd affiliated partner can be seller, also can be commodity (as Cellphone Accessories set meals).Add up the number of the associated element of carrying in the 3rd affiliated partner, and the 3rd affiliated partner number of the associated element of carrying being greater than predetermined threshold value is as the second affiliated partner.This predetermined threshold value can be 3.
According to above-described embodiment of the application, without the commodity (i.e. the first exchangeable object) of buying behavior, can give a mark according to knowledge base.Particularly, listed by the characteristic element of commodity, given a mark by the element that often kind of commodity have Matching Relation, collocation element is more, and the collocation degree of commodity is higher.
According to above-described embodiment of the application, from the first affiliated partner, extract the second affiliated partner according to the attribute data of the first affiliated partner can comprise: respectively from an association classification extracting data second affiliated partner, obtain one or more second affiliated partner.
The affiliated partner title of the second affiliated partner extracted and the image data of the second affiliated partner can be comprised as propelling data: using the affiliated partner title of one or more second affiliated partner and image data as propelling data; Return execution respectively from the step of an association classification extracting data second affiliated partner, obtain multiple propelling data, until the number of the propelling data obtained meets predetermined number.
Particularly, respectively from each association classification extracting data second affiliated partner, also namely from the first object sequence, extract second affiliated partner, obtain multiple second affiliated partner, and using the affiliated partner title of one or more second affiliated partner and image data as propelling data.Be when 2 at N, just can extract two the second affiliated partners respectively from each first object sequence, then the multiple propelling data of the second affiliated partner in different classification is used, can comprise multiple second affiliated partner in propelling data, and multiple second affiliated partners in propelling data belong to different association classifications.
In above-described embodiment of the application, each combination the inside comprises the commodity of the collocation classification of being correlated with viewed commodity place classification.Any one viewed dotey we can know its collocation classification (have at present ready-made data can with), in collocation classification, respectively get commodity according to mark just can form a kind of combination.As: current viewed commodity are female's T-shirts, and the classification so with its collocation has slacks, women's shoes, female's bag, cap etc., and from each classification, get commodity by mark forms a combination at every turn, repeatedly chooses and just forms multiple combination.
It should be noted that, can perform in the computer system of such as one group of computer executable instructions in the step shown in the process flow diagram of accompanying drawing, and, although show logical order in flow charts, but in some cases, can be different from the step shown or described by order execution herein.
Fig. 2 is the schematic diagram of the data-pushing device according to the embodiment of the present application, and as shown in Figure 2, this device can comprise: the first acquisition module 10, second acquisition module 30, extraction module 50 and pushing module 70.
Wherein, the first acquisition module 10, for obtaining the object ID of the first exchangeable object that the first client determines and the first exchangeable object; Second acquisition module 30, for obtaining one or more association classification data according to object ID, wherein, each association classification packet draws together the affiliated partner title of the first affiliated partner and the attribute data of the first affiliated partner, wherein, the first affiliated partner is the object that there is the incidence relation preset with the first exchangeable object; Extraction module 50, extracts the second affiliated partner for the attribute data according to the first affiliated partner from the first affiliated partner; Pushing module 70, for the image data of the affiliated partner title of the second affiliated partner that will extract and the second affiliated partner as propelling data, is sent to the first client by propelling data.
Adopt the embodiment of the present application, obtain the first exchangeable object that the first client determines and and object ID, then one or more association classification data are obtained according to object ID, and from the first affiliated partner, extract the second affiliated partner according to the attribute data of the first affiliated partner, using the image data of the affiliated partner title of the second affiliated partner extracted and the second affiliated partner as propelling data, propelling data is sent to the first client.In above-described embodiment of the application, the first exchangeable object determined according to client obtains one or more association classification data, and extract the second affiliated partner according to the attribute data of the first exchangeable object from existing the first affiliated partner of incidence relation with the first exchangeable object, generate propelling data.Not only after user determines the first exchangeable object, just propelling data can be sent to client by above-described embodiment, and propelling data determines according to the attribute data of the first exchangeable object, thus propelling data and the first exchangeable object have very strong relevance, accuracy is very high, thus solve propelling data in prior art delayed and push the inaccurate problem of data, achieve pushed data in real time, and the data accuracy pushed is very high.
In above-described embodiment, swap operation is that client uses virtual resource to exchange the operation of exchangeable object for.Particularly, virtual resource can comprise: the ideal money etc. on network.
Specific in above-described embodiment, the first exchangeable object can be the object that the first client use virtual resource exchanges for, and the first client can be the terminal such as mobile terminal, PC, and mobile terminal can comprise smart mobile phone, panel computer etc.
Such as, in Taobao's application program, the first client can buy the commodity on Taobao market by electronic money, these commodity are the first exchangeable object in above-described embodiment.
According to above-described embodiment of the application, the second acquisition module comprises: first obtains submodule, associates classification for the object classification obtaining object ID with the object class object preset, and wherein, object class object association classification reads from the first database; Search module, exchange data for the first history using object ID to search the first exchangeable object in the second database, wherein, the first history exchange data packets draws together one or more second clients the first exchangeable object being performed to swap operation; Second obtains submodule, and exchange data for the second history obtaining each second client, wherein, the second history exchange data packets draws together multiple second exchangeable objects of the second client executing swap operation; First determination module, for belonging to first affiliated partner of each association class object second exchangeable object as each association classification data.
Particularly, the object classification of the first exchangeable object can be determined by the object ID of the first exchangeable object, then can read from the first database preset there is incidence relation with this object classification associate classification.In the first database, use object ID storage object classification and associate classification, as shown in table 1.Table 1 only makes exemplary illustration, and the embodiment of the present application is not limited to the pattern shown in table 1.
Classification A in table 1 and classification A1, classification A2, classification A3 and classification A4 only do exemplary theory.Such as, on Taobao website, the object classification of the first exchangeable object can be: jacket, and association classification A1, classification A2, classification A3 and classification A4 can be respectively: overcoat, fitted pants, skirt and footwear.
Determining the association class object of the first exchangeable object simultaneously, first history that object ID can be used in the second database to search the first exchangeable object exchanges data, particularly, it is the historical data in history the first exchangeable object being performed to swap operation of preserving in the second database that first history exchanges data, wherein, the second client to the first exchangeable object execution swap operation and the time performing swap operation can be comprised in this historical data.
Specific on Taobao website, can for searching the historical data of purchase first exchangeable object in the second database, the time buying that buyer's (the second client namely in above-described embodiment) and buyer buy the first exchangeable object can be comprised in this historical data.
After acquisition second history exchanges data, filtration treatment being carried out to the second exchangeable object, filtering out wherein belonging to above-mentioned association class object second exchangeable object as the first affiliated partner.
In above-described embodiment of the application, attribute data can comprise exchange times, wherein, extraction module can comprise: statistics submodule, for adding up the exchange times of each second client to the first affiliated partner execution swap operation, obtain the second client performs swap operation exchange total degree to the first affiliated partner; First computing module, for calculating the weighted value of the exchange total degree of each the first affiliated partner; Order module, for sorting from big to small according to weighted value to the first affiliated partner in each association classification, obtains the first object sequence; Second determination module, for extracting sequence at the first affiliated partner of top N from each first object sequence, as the second affiliated partner, wherein, N be greater than zero natural number.
Particularly, after acquisition first affiliated partner, obtain the exchange times of the first affiliated partner in the second history exchange data, add up the exchange total degree that the second all client first affiliated partners performs swap operation, then the weighted value of the exchange total degree of each the first affiliated partner is calculated, wherein, weight can be 1.Then the first affiliated partner in each association classification is carried out arrangement according to weighted value order from big to small and obtain the first object sequence; First affiliated partner of sequence in top N is extracted as the second affiliated partner from each first object sequence.
In embodiment as shown in table 3, the exchange total degree of item3 is 3; The exchange total degree of item4 is 2; The exchange total degree of item2 is 1; The exchange total degree of item5 is 1; The exchange total degree of item6 is 1; The exchange total degree of item7 is 2.Weight is in this embodiment 1, then the exchange total degree calculated is weighted value.
First object sequence of the classification A2 fitted pants then obtained is:, item6;
First object sequence of classification A3 skirt is:, item5;
First object sequence of classification A4 footwear is: item3, item2.
After obtaining the first object sequence, from each first object sequence, extract first affiliated partner of sequence in top N as the second affiliated partner.When N equals 1, then the second affiliated partner obtained is item3, item4 and item7.
According to above-described embodiment of the application, after obtaining the second affiliated partner, using the image data of the affiliated partner title of the second affiliated partner extracted and the second affiliated partner as propelling data, propelling data is sent to the first client.
Above-described embodiment of the application, is when there is the first historical data in the second database, can obtains the second affiliated partner, and carry out data-pushing according to above-described embodiment.
What needs further illustrated is, data-pushing device can also comprise: the 3rd acquisition module, after associating classification at the object classification and default object class object that obtain object ID, when using object ID to search in the second database less than the first history exchange data, obtain the object elements of the first exchangeable object; Read module, for the associated element of object elements from the first database, wherein, associated element is one or more; 4th acquisition module, for obtaining the 3rd affiliated partner with associated element from the second database; Statistical module, for adding up the number carrying associated element in the 3rd affiliated partner; 3rd determination module, for being greater than the 3rd affiliated partner of predetermined threshold value as the second affiliated partner using the number carrying associated element.
In above-described embodiment of the application, object elements can form the element of the first exchangeable object, and if this first exchangeable object is mobile phone, then the object elements of the first exchangeable object can comprise: the object elements such as battery, mobile phone screen, mobile phone model.After acquisition object elements, the associated element of object elements in the first database, then the associated element read can be: the associated element such as cell-phone cover, portable power source, data line, sticking film for mobile phone.
Obtain from the second database and have the 3rd affiliated partner of associated element, the 3rd affiliated partner can the 3rd client or object to be exchanged, if the 3rd affiliated partner can be seller, also can be commodity (as Cellphone Accessories set meals).Add up the number of the associated element of carrying in the 3rd affiliated partner, and the 3rd affiliated partner number of the associated element of carrying being greater than predetermined threshold value is as the second affiliated partner, this predetermined threshold value can be 3.
According to above-described embodiment of the application, extraction module comprises: extract submodule, for respectively from an association classification extracting data second affiliated partner, obtains one or more second affiliated partner.Pushing module comprises: the 4th determination module, for using the affiliated partner title of one or more second affiliated partner and image data as propelling data; Circulation execution module, for returning execution respectively from the step of an association classification extracting data second affiliated partner, obtains multiple propelling data, until the number of the propelling data obtained meets predetermined number.
The modules provided in the present embodiment is identical with the using method that the corresponding step of embodiment of the method provides, application scenarios also can be identical.It is noted, of course, that the scheme that above-mentioned module relates to can be not limited to content in above-described embodiment one and scene, and above-mentioned module may operate in terminal or mobile terminal, can pass through software or hardware implementing.
As can be seen from the above description, the application achieves following technique effect:
Adopt the embodiment of the present application, obtain the first exchangeable object and object ID thereof that the first client determines, then one or more association classification data are obtained according to object ID, and from the first affiliated partner, extract the second affiliated partner according to the attribute data of the first affiliated partner, using the image data of the affiliated partner title of the second affiliated partner extracted and the second affiliated partner as propelling data, propelling data is sent to the first client.In above-described embodiment of the application, the first exchangeable object determined according to client obtains one or more association classification data, and extract the second affiliated partner according to the attribute data of the first exchangeable object from existing the first affiliated partner of incidence relation with the first exchangeable object, generate propelling data.Not only after user determines the first exchangeable object, just propelling data can be sent to client by above-described embodiment, and propelling data determines according to the attribute data of the first exchangeable object, thus propelling data and the first exchangeable object have very strong relevance, accuracy is very high, thus solve propelling data in prior art delayed and push the inaccurate problem of data, achieve pushed data in real time, and the data accuracy pushed is very high.
Obviously, those skilled in the art should be understood that, each module of above-mentioned the application or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on network that multiple calculation element forms, alternatively, they can realize with the executable program code of calculation element, thus, they can be stored and be performed by calculation element in the storage device, or they are made into each integrated circuit modules respectively, or the multiple module in them or step are made into single integrated circuit module to realize.Like this, the application is not restricted to any specific hardware and software combination.
The foregoing is only the preferred embodiment of the application, be not limited to the application, for a person skilled in the art, the application can have various modifications and variations.Within all spirit in the application and principle, any amendment done, equivalent replacement, improvement etc., within the protection domain that all should be included in the application.
Claims (12)
1. a data push method, is characterized in that, comprising:
Obtain the object ID of the first exchangeable object that the first client determines and described first exchangeable object;
One or more association classification data are obtained according to described object ID, wherein, each described association classification packet draws together the affiliated partner title of the first affiliated partner and the attribute data of described first affiliated partner, wherein, described first affiliated partner is the object that there is the incidence relation preset with described first exchangeable object;
From described first affiliated partner, the second affiliated partner is extracted according to the described attribute data of described first affiliated partner;
Using the image data of the described affiliated partner title of described second affiliated partner extracted and described second affiliated partner as propelling data, described propelling data is sent to described first client.
2. data push method according to claim 1, is characterized in that, obtains one or more association classification packet draw together according to described object ID:
The object classification obtaining described object ID associates classification with the described object class object preset, and wherein, described object class object association classification reads from the first database;
The first history using described object ID to search described first exchangeable object in the second database exchanges data, and wherein, described first history exchange data packets draws together one or more second clients described first exchangeable object being performed to swap operation;
The second history obtaining each described second client exchanges data, and wherein, described second history exchange data packets draws together multiple second exchangeable objects of described second client executing swap operation;
To the second exchangeable object described in association class object described in each be belonged to as described first affiliated partner associating classification data described in each.
3. data push method according to claim 1 and 2, is characterized in that, described attribute data comprises exchange times, wherein, extracts the second affiliated partner comprise according to the described attribute data of described first affiliated partner from described first affiliated partner:
Add up the second client described in each performs swap operation described exchange times to described first affiliated partner, obtain described second client performs swap operation exchange total degree to described first affiliated partner;
Calculate the weighted value of the described exchange total degree of the first affiliated partner described in each;
Described first affiliated partner in each described association classification is sorted from big to small according to weighted value, obtains the first object sequence;
From the first object sequence described in each, extract sequence at described first affiliated partner of top N, as described second affiliated partner, wherein, N be greater than zero natural number.
4. data push method according to claim 2, is characterized in that, after the object classification and default described object class object that obtain described object ID associate classification, described data push method also comprises:
When using described object ID to search in the second database less than described first history exchange data, obtain the object elements of described first exchangeable object;
From described first database, read the associated element of described object elements, wherein, described associated element is one or more;
The 3rd affiliated partner with described associated element is obtained from described second database;
Add up the number carrying described associated element in described 3rd affiliated partner;
The number carrying described associated element is greater than described 3rd affiliated partner of predetermined threshold value as described second affiliated partner.
5. the data push method according to claim 1 or 2 or 4, is characterized in that,
From described first affiliated partner, extract the second affiliated partner according to the described attribute data of described first affiliated partner to comprise: respectively from described second affiliated partner of described association classification extracting data one, obtain one or more described second affiliated partner;
The described affiliated partner title of described second affiliated partner extracted and the image data of described second affiliated partner are comprised as propelling data:
Using the described affiliated partner title of described one or more described second affiliated partner and described image data as described propelling data;
Return execution respectively from the step of described second affiliated partner of described association classification extracting data one, obtain multiple described propelling data, until the number of the described propelling data obtained meets predetermined number.
6. the data push method according to claim 1 or 2 or 4, is characterized in that, described swap operation is that client uses virtual resource to exchange the operation of described exchangeable object for.
7. a data-pushing device, is characterized in that, comprising:
First acquisition module, for obtaining the object ID of the first exchangeable object that the first client determines and described first exchangeable object;
Second acquisition module, for obtaining one or more association classification data according to described object ID, wherein, each described association classification packet draws together the affiliated partner title of the first affiliated partner and the attribute data of described first affiliated partner, wherein, described first affiliated partner is the object that there is the incidence relation preset with described first exchangeable object;
Extraction module, extracts the second affiliated partner for the described attribute data according to described first affiliated partner from described first affiliated partner;
Pushing module, for the image data of the described affiliated partner title of described second affiliated partner that will extract and described second affiliated partner as propelling data, is sent to described first client by described propelling data.
8. data-pushing device according to claim 7, is characterized in that, described second acquisition module comprises:
First obtains submodule, associates classification for the object classification obtaining described object ID with the described object class object preset, and wherein, described object class object association classification reads from the first database;
Search module, the first history for using described object ID to search described first exchangeable object in the second database exchanges data, wherein, described first history exchange data packets draws together one or more second clients described first exchangeable object being performed to swap operation;
Second obtains submodule, and exchange data for the second history obtaining each described second client, wherein, described second history exchange data packets draws together multiple second exchangeable objects of described second client executing swap operation;
First determination module, for belonging to the second exchangeable object described in association class object described in each as described first affiliated partner associating classification data described in each.
9. the data-pushing device according to claim 7 or 8, is characterized in that, described attribute data comprises exchange times, and wherein, described extraction module comprises:
Statistics submodule, for adding up the described exchange times of the second client described in each to described first affiliated partner execution swap operation, obtains described second client performs swap operation exchange total degree to described first affiliated partner;
First computing module, for calculating the weighted value of the described exchange total degree of the first affiliated partner described in each;
Order module, for sorting from big to small according to weighted value to described first affiliated partner in each described association classification, obtains the first object sequence;
Second determination module, for extracting sequence at described first affiliated partner of top N from the first object sequence described in each, as described second affiliated partner, wherein, N be greater than zero natural number.
10. data-pushing device according to claim 8, is characterized in that, described data-pushing device also comprises:
3rd acquisition module, after associating classification at the object classification and default described object class object that obtain described object ID, when using described object ID to search in the second database less than described first history exchange data, obtain the object elements of described first exchangeable object;
Read module, for reading the associated element of described object elements from described first database, wherein, described associated element is one or more;
4th acquisition module, for obtaining the 3rd affiliated partner with described associated element from described second database;
Statistical module, for adding up the number carrying described associated element in described 3rd affiliated partner;
3rd determination module, for being greater than described 3rd affiliated partner of predetermined threshold value as described second affiliated partner using the number carrying described associated element.
11. data-pushing devices according to claim 7 or 8 or 10, is characterized in that,
Described extraction module comprises: extract submodule, for respectively from described second affiliated partner of described association classification extracting data one, obtain one or more described second affiliated partner;
Described pushing module comprises:
4th determination module, for using the described affiliated partner title of described one or more described second affiliated partner and described image data as described propelling data;
Circulation execution module, for returning execution respectively from the step of described second affiliated partner of described association classification extracting data one, obtains multiple described propelling data, until the number of the described propelling data obtained meets predetermined number.
12. data-pushing devices according to claim 7 or 8 or 10, is characterized in that, described swap operation is that client uses virtual resource to exchange the operation of described exchangeable object for.
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