CN102339433A - Data processing method applied in online trading platform, apparatus and server thereof - Google Patents
Data processing method applied in online trading platform, apparatus and server thereof Download PDFInfo
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- CN102339433A CN102339433A CN2010102305523A CN201010230552A CN102339433A CN 102339433 A CN102339433 A CN 102339433A CN 2010102305523 A CN2010102305523 A CN 2010102305523A CN 201010230552 A CN201010230552 A CN 201010230552A CN 102339433 A CN102339433 A CN 102339433A
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Abstract
The application provides a data processing method applied in an online trading platform, an apparatus and a server thereof. The method comprises the following steps: receiving a query condition of a current seller user, wherein the query condition comprises associated information of a current product or current category information; inquiring from a specific database so as to obtain related trading information according to the associated information of the current product or the current category information, wherein the specific database is used to store the trading information generated when the product is traded on the online trading platform; analyzing the related trading information so as to obtain product analysis data which satisfies a requirement. By using the method, the apparatus and the server provided in embodiments, information interaction times of the seller user and an online store server during a query process can be reduced. Loads of the online store server can be reduced so as to improve an operation speed and performance of the online store server.
Description
Technical field
The application relates to the network data processing field, particularly a kind of data processing method, device and server that is applied to the online trade platform.
Background technology
The online trade platform is a third-party business safety control platform, and the both sides that conclude the business of transaction platform can conclude the business the dealing of having discussed on the net through third-party transaction platform on the net; And online transaction more is the client through on transaction platform, finding own needed product, thereby concludes the business.For example, everybody well-known " Baidu has ", " Taobao ", " patting " these all belong to the online trade platform.
The user who on the transaction platform product of oneself is sold on the net is commonly referred to as seller user, and the commodity of seller user transaction platform issue on the net are commonly referred to as the dotey.In the prior art; During the relevant marketing information of the dotey that certain seller user gets access to oneself if desired in the similar dotey of other seller user issues; Can only on search engine, import dotey's keyword inquires about; But search engine can only retrieve relevant webpage of product or dotey's information such as associated description; If just need when seller user wants to obtain other marketing informations constantly to send request through on-line shop's server to search engine server, this request not only can not inquire the result that seller user is wanted, and produces some unnecessary information can for on-line shop's server yet and transmit operation; Thereby, also influenced the runnability of on-line shop's server because these unnecessary information are transmitted the travelling speed reduction that operation will cause on-line shop's server.
Therefore; Need the urgent technical matters that solves of those skilled in the art to be exactly at present: a kind of data processing method that is applied to the online trade platform of the proposition how can innovate influences the travelling speed of on-line shop's server and the problem of performance to solve data enquire method of the prior art.
Summary of the invention
The application's technical matters to be solved provides a kind of data processing method that is applied to the online trade platform, influences the travelling speed of on-line shop's server and the problem of performance to solve data enquire method of the prior art.
The application also provides a kind of data processing equipment and server that is applied to the online trade platform, in order to guarantee realization and the application of said method in reality.
In order to address the above problem, the application discloses a kind of data processing method that is applied to the online trade platform, comprising:
Receive the querying condition of current seller user, said querying condition comprises the related information or the current classification information of current production;
From certain database, inquire about the relationship trading information that obtains according to the related information or the current classification information of said current production, said certain database is used for the storage products transaction platform Transaction Information that carries out exchange's generation on the net;
Said relationship trading information is analyzed to be met the product analysis data of requirement.
The application discloses a kind of data processing equipment that is applied to the online trade platform, comprising:
Receive the querying condition module, be used to receive the querying condition of current seller user, said querying condition comprises the related information or the current classification information of current production;
Inquiry relationship trading information module; Be used for obtaining relationship trading information from the certain database inquiry according to the related information of said current production or current classification information, said certain database be used for storage products on the net transaction platform carry out the Transaction Information that exchange produces;
Analysis module is used for said relationship trading information is analyzed to be met the product analysis data of requirement.
The application also provides a kind of on-line shop server, and this on-line shop's server comprises: said data processing equipment.
Compared with prior art, the application comprises following advantage:
In this application, on-line shop's server can receive the querying condition that current seller user is sent through client, and said querying condition can be the related information of current production, also can be certain classification information; Querying condition is mainly used in the hunting zone that limits subsequent searches.On-line shop's server can be inquired about relationship trading information or the current class relationship trading information now that obtains current production according to said querying condition again from certain database, said certain database is used to store all products All Activity information that transaction platform produced on the net; By on-line shop's server said relationship trading information is analyzed to be met the product analysis data of requirement again.These product analysis data can reflect the concrete marketing information of current production under this online trade platform; Therefore seller user need not the marketing information that repeatedly search needs oneself from search engine; So just can reduce seller user and the information interaction times of on-line shop's server in query script, thereby reduce travelling speed and the performance of the load of on-line shop's server with raising on-line shop server.Certainly, arbitrary product of enforcement the application might not reach above-described all advantages simultaneously.
Description of drawings
In order to be illustrated more clearly in the technical scheme among the application embodiment; The accompanying drawing of required use is done to introduce simply in will describing embodiment below; Obviously, the accompanying drawing in describing below only is some embodiment of the application, for those of ordinary skills; Under the prerequisite of not paying creative work property, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the system architecture diagram of the application in practical application;
Fig. 2 is a kind of process flow diagram that is applied to the data processing method embodiment 1 of online trade platform of the application;
Fig. 3 is the process flow diagram in step 204 implementation among the application embodiment 1;
Fig. 4 is a kind of process flow diagram that is applied to the data processing method embodiment 2 of online trade platform of the application;
Fig. 5 is the interface synoptic diagram that receives querying condition among the embodiment 2;
Fig. 6 is the interface display synoptic diagram that final products are analyzed data among the embodiment 2;
Fig. 7 is a kind of process flow diagram that is applied to the data processing method embodiment 3 of online trade platform of the application;
Fig. 8 is the process flow diagram in step 704 implementation among the embodiment 3;
Fig. 9 is a kind of process flow diagram that is applied to the data processing method embodiment 4 of online trade platform of the application;
Figure 10 supplies seller user to select an interface synoptic diagram of classification among the embodiment 4;
Figure 11 is an interface display synoptic diagram of product analysis data among the embodiment 4;
Figure 12 is a kind of structured flowchart that is applied to the data processing equipment embodiment 1 of online trade platform of the application;
Figure 13 is the structured flowchart of analysis module among the device embodiment 1;
Figure 14 is a kind of structured flowchart that is applied to the data processing equipment embodiment 2 of online trade platform of the application;
Figure 15 is a kind of structured flowchart that is applied to the data processing equipment embodiment 3 of online trade platform of the application;
Figure 16 is a kind of structured flowchart that is applied to the data processing equipment embodiment 4 of online trade platform of the application.
Embodiment
To combine the accompanying drawing among the application embodiment below, the technical scheme among the application embodiment is carried out clear, intactly description, obviously, described embodiment only is the application's part embodiment, rather than whole embodiment.Based on the embodiment among the application, those of ordinary skills are not making the every other embodiment that is obtained under the creative work prerequisite, all belong to the scope of the application's protection.
The application can be used in numerous general or special purpose calculation element environment or the configuration.For example: personal computer, server computer, handheld device or portable set, plate equipment, multiprocessor device, comprise DCE of above any device or equipment or the like.
The application can describe in the general context of the computer executable instructions of being carried out by computing machine, for example program module.Usually, program module comprises the routine carrying out particular task or realize particular abstract, program, object, assembly, data structure or the like.Also can in DCE, put into practice the application, in these DCEs, by through communication network connected teleprocessing equipment execute the task.In DCE, program module can be arranged in this locality and the remote computer storage medium that comprises memory device.
The system architecture diagram of the application's embodiment in practical application can be with reference to shown in Figure 1; The application's data processing equipment can be integrated on on-line shop's server; The server and client side of on-line shop links to each other; On-line shop's server also connects certain database simultaneously, so that from said certain database, get access to relationship trading information.
One of main thought of the application can comprise that on-line shop's server can receive the querying condition that current seller user is sent through client, and said querying condition can be the related information of current production; These related informations are mainly used in the hunting zone that limits subsequent searches.On-line shop's server can be inquired about the relationship trading information that obtains current production according to the related information of said current production again from certain database, said certain database is used to store the product Transaction Information that transaction platform produced of seller user issue on the net; By on-line shop's server said relationship trading information is analyzed to be met the product analysis data of requirement again.These product analysis data can reflect the concrete marketing information of current production on this online trade platform, for example, the highest knockdown price information, the highest marketing information, the seller user of current production have what or the like.Because preserved the Transaction Information that comprises these marketing informations described in the application in the certain database; Therefore from certain database, search for and handle and to obtain according to the querying condition of seller user; Can reduce seller user and the information interaction times of on-line shop's server in query script, thereby reduce travelling speed and the performance of the load of on-line shop's server with raising on-line shop server.
The application's main thought can also comprise that on-line shop's server can receive the querying condition that current seller user is sent through client, and said querying condition can be current classification information; The hunting zone that this classification information spinner will be used to limit subsequent searches is at some classes Transaction Information now.On-line shop's server can be inquired about from certain database according to said current classification information and obtain current class relationship trading information now, and said certain database is used to store all products All Activity information that transaction platform produced on the net; By on-line shop's server said relationship trading information is analyzed to be met the product analysis data of requirement again.Under above-mentioned situation; Said product analysis data can reflect in the current class marketing information of all products now; So that seller user gets access to the Transaction Information through analyzing easily; This just helps to reduce the information interaction times between seller user and the on-line shop's server, to improve the travelling speed and the performance of on-line shop's server.
With reference to figure 2, show a kind of process flow diagram that is applied to the data processing method embodiment 1 of online trade platform of the application, can may further comprise the steps:
Step 201: the querying condition that receives current seller user; Said querying condition comprises the related information of current production, and the related information of said current production comprises: current production title, prestige block information, price range information, trading volume information and/or area information.
In the application embodiment, executive agent is a data processing equipment, and this data processing equipment can be integrated on on-line shop's server, as newly-increased functional entity of on-line shop's server, can certainly be the entity apparatus that is independent of on-line shop's server.Said current production refers to the own some doteys' that sold that current seller user selects information in the function pages that on-line shop's server provides; For example; When selecting name to be called the dotey of " fast-selling A Yilian one-piece dress in summer ", then the current production title is " fast-selling A Yilian one-piece dress in summer ".The related information of current production also comprises the prestige block information of seller user, promptly be subsequent searches to Transaction Information in the prestige of the seller user that relates to need be in the said prestige interval; Said price range information be used for being illustrated in subsequent searches to the residing Price Range of product that relates to of Transaction Information; Said trading volume information refer to subsequent searches to Transaction Information in the product that the relates to total amount information of selling; Area information be used for representing subsequent searches to the residing urban information of product that relates to of Transaction Information.Wherein, not necessarily need between said current production title, prestige block information, price range information, trading volume information and the area information to exist simultaneously, or combination in any of above-mentioned information can be set according to user's search precision demand.
Step 202: extract the one or more product keywords in the said current production title.
On-line shop's server can be called analysis to the current production name, to extract the one or more product keywords in the said current production title.The number of product keyword can change according to user's request to some extent, and for example, when name of product was " fast-selling A Yilian one-piece dress in summer ", its keyword can be " A Yilian " and " one-piece dress ", also can be " summer " and " one-piece dress " etc.
Step 203: from the All Activity information of said certain database, search for the relationship trading information that satisfies said prestige block information, price range information, trading volume information and/or area information according to said keyword.
Wherein, said certain database is the database of said online trade platform, and certain database is used for the Transaction Information that produced when storage products is concluded the business in this online trade platform; These Transaction Informations can comprise conclusion of the business temporal information, knockdown price information etc.Need to prove that the Transaction Information of storing in the said certain database is because relate to the details of seller user and dotey's Transaction Information, so search engine generally can't get access to these Transaction Informations.The index data base of search engine can only be undertaken " ordering " to related data by certain data structure to be convenient to the user and to search, and these data all are the non-core services and the sales datas of fixing, and can acquire through certain channel.And the certain database among the application embodiment has been preserved the detailed data of each Transaction Information of online trade platform, and these Transaction Informations are that other users are sightless, also is that search engine can't be searched for and obtains.
Step 204: said relationship trading information is analyzed to be met the product analysis data of requirement.
The purpose of this step promptly is that the relationship trading information that search in the step 203 obtains is analyzed the product analysis data that preset requirement to be met.Concrete, this step has five sub-steps to accomplish jointly in implementation procedure, and with reference to figure 3, said step 204 specifically can comprise the steps:
Step 301: add up in the said relationship trading information and comprise the product quantity of said product keyword, and add up the number of the seller user under the said product correspondence.
According to said product keyword the Transaction Information of storing in the said certain database is retrieved; Think that this Transaction Information is the relationship trading information of current production if the name of product that relates in the Transaction Information comprises said product keyword, after the All Activity information in the said certain database of traversal, just can match all relationship trading information of current production like this.This step then is the product quantity in the relationship trading information of the said current production of statistics, and counts the number of the seller user under the said product correspondence.Here need to prove; The number of said seller user might be inequality with said product quantity; Because a product of a seller user might exist or corresponding a plurality of product link; The product data that count on so just may repeat, the corresponding seller user but a product is bound to.
Step 302: the reputation information of other seller user that relate in the reputation information of current seller user and the said relationship trading information is compared, and the number of statistics other seller user higher than the reputation information of current seller user.
In the relationship trading information of said product, the reputation information of current seller user is compared with the reputation information of other different seller user, because said prestige promptly is the credit grade information of seller user, corresponding concrete numerical information.Therefore can the prestige of current seller user be compared with the prestige size of other different seller user; If the prestige of other seller user is than the prestige height of current seller user then add up its number, so that current seller user can be according to the price of the in good time own product of adjustment of statistics to promote sales volume.Need to prove, in this step,, also can add up the number of other seller user lower according to demand than the reputation information of current seller user though be the number of other higher seller user of the reputation information of the current seller user of ratio of statistics.
Step 303: the sales volume information of other seller user on said product in sales volume information and the said relationship trading information of current seller user on said product is compared the number of other seller user that statistics sales volume information is higher.
In this step, then need at first obtain the sales volume information of other seller user that relate in the said relationship trading information; Simultaneously the sales volume information of current seller user and the sales volume information of said other seller user are compared, and add up the number of other higher seller user of sales volume information according to comparative result.Need to prove, also can add up the number of other lower seller user of marketing information in this step, so that current seller user is easier to understand other similar seller users' marketing information.
Step 304: the pricing information of the current production of other seller user in the pricing information of the current production of current seller user and the said relationship trading information is compared the product number of other seller user that the statistics pricing information is lower.
When relationship trading information is analyzed; Also need get access to the pricing information of current seller user; And the pricing information of other seller user, said pricing information refers to each seller user and sells the transaction value information that said product produced on the transaction platform on the net.After getting access to the pricing information of product, compare, and add up the number of pricing information other products lower than the price of current production according to comparative result.
Step 305: obtain current production in the said relationship trading information the highest knockdown price information and corresponding the highest sales volume information and, rserve price information and the highest corresponding sales volume information.
Simultaneously; For the relationship trading information that gets access to; Then travel through each Transaction Information finding the highest knockdown price information of current production, and the current production how many times that under this highest knockdown price information, struck a bargain altogether, promptly be the highest corresponding sales volume information; Simultaneously, search the rserve price information of current production, and the current production how many times that under this rserve price information, struck a bargain altogether, promptly be the highest corresponding sales volume information.
Step 306: obtain the pricing information of each product in the said relationship trading information and calculate average price information; And according to the average sales volume information of sales volume information calculations of each product in the said relationship trading information.
Add up the pricing information of each product that sales figure is arranged that relates in the said relationship trading information, again these price datas are carried out addition, resulting summation can obtain average price divided by the number sum of each product that relates to again.Simultaneously, the sales volume information of each product is carried out addition, resulting summation can obtain average sales volume divided by the number sum of each product that relates to again.
After the execution of step 301-306, just obtain the analysis data for current production, these are analyzed data and in practical application, can comprise: the quantity of current production, the highest knockdown price information of product, information such as corresponding the highest sales figure.Difference according to actual conditions; Those skilled in the art also can get access to other associated data from the relationship trading information of product, perhaps when not needing so multidata, optionally obtain a certain partial data wherein; At this moment step 301-306 just can selectively carry out; In the present embodiment for convenience, each step is defined the sequencing of execution, and in fact the order between these steps might not be carried out according to the order of the description in the present embodiment.
Step 205: said product analysis data are showed to said current seller user on client with the interface form.
In this step, utilize friendly human-computer interaction interface on client, to show product analysis data in the step 204; Understand for the concrete Transaction Information of current production to make things convenient for seller user; Like this seller user just can get access to the concrete marketing information of institute's sell goods through the relationship trading information of storing in the certain database; Just need not inquiring about to search engine server through on-line shop's server; Not only can help seller user to find the marketing information of oneself paying close attention to fast; The more important thing is that produce some unnecessary information can not for on-line shop's server transmits or query manipulation, thereby reduced the interaction times between seller user and the on-line shop's server, this just can improve the travelling speed and the runnability of on-line shop's server.
With reference to figure 4; Show a kind of process flow diagram that is applied to the data processing method embodiment 2 of online trade platform of the application; Present embodiment is appreciated that to the data processing method that is applied to the online trade platform with the application is applied to an object lesson in the reality, can may further comprise the steps:
Step 401: receive the querying condition of current seller user, said querying condition comprises the related information of current production; The related information of said current production comprises: current production title, prestige block information, price range information, trading volume information and/or area information, the related information of said current production also comprises: first initialize data.
Present embodiment is that with a last different place of embodiment the related information of said current production has also comprised first initialize data, and wherein said first initialize data can be provided with arbitrarily in the natural number scope.Said first initialize data is mainly used in the number of the relationship trading information that limits the current production that later retrieval arrives.With reference to shown in Figure 5, receive the interface synoptic diagram of the querying condition of current seller user for the application.Wherein, first initialize data is 100, is presented as " 100 doteys that popularity is the highest " among Fig. 5.Be that the user selects some names of product in own institute product sold behind " dotey that you select " option among Fig. 5 simultaneously; " dotey's key word " is an input frame after selecting, and can supply the user to import dotey's keyword in certain database, to carry out the coupling of Transaction Information; " seller's grade " can supply seller user to select; Its selection result is used for representing the prestige block information that the prestige of relationship trading information seller user need satisfy, and the prestige block information shown in Fig. 5 then is all seller user of " from 1 diamond to 1 imperial crown "." dotey's price " option can supply seller user to import desired product price scope, and the product of the relationship trading information that is used for representing that subsequent searches obtains all need be in this Price Range; Pricing information shown in Fig. 5 representes that then product price is between 11 yuan to 14 yuan." trading volume " option also is an input range frame; Can supply the product trading volume information in the relationship trading information that seller user input subsequent searches obtains, the geographic position that the product needed of the relationship trading information that " location " then is used for representing that subsequent searches obtains satisfies.Need to prove; Above-mentioned information can selectively be imported, and certainly, those skilled in the art also can be provided with other input frames more in addition according to demand and set more querying condition; This does not pay creative work and can obtain more embodiment to those skilled in the art.
Step 402: extract the one or more product keywords in the said current production title, from the All Activity information of said certain database, search for the relationship trading information that satisfies said prestige block information, price range information, trading volume information and/or area information according to said keyword.
The implementation procedure of this step is introduced at a last embodiment in detail, repeats no more at this.
Step 403: in certain database, sort according to the clicking rate information mode from high to low of said product relationship trading information to said product.
Wherein, the visit capacity information of the said product place page promptly is the number of visits of said product, and this number of visits has been represented the popularity height of current production, and the popularity of the high more explanation current production of number of visits is high more.In the present embodiment; According to generally speaking; Seller user possibly only paid close attention to the popularity high product; Therefore when the relationship trading information of product is screened, so according to the popularity height of product said relationship trading is sorted, the popularity that comes the corresponding product of the explanation of front is more popular than the product that comes the back.
Step 404: from certain database, obtain preceding several relationship trading information after the ordering, the number of said relationship trading information is identical with first initialize data.
Promptly obtain afterwards preceding several relationship trading information of ordering in this step.
Step 405: add up in the said relationship trading information and comprise the product quantity of said product keyword, and add up the number of the seller user under the said product correspondence.
In this step; Based on the relationship trading information of searching for the current production that obtains in the step 404, add up the product quantity that relates in this relationship trading information, need to prove; When adding up, generally can the product that not have sales figure not added up into yet.Then be that the product that has transaction record is added up so in practical application as this step 1; With reference to shown in Figure 6; Be the interface display synoptic diagram of final products analysis data in the present embodiment, in Fig. 6, " the dotey's quantity " that counts on promptly is said product quantity.Simultaneously, to the product that has counted on, the seller user under it is gone heavily to handle again, obtain the number of the affiliated different seller user of each product correspondence.In Fig. 6, said " Seller Number " promptly is the number of said seller user.In the present example, because the corresponding seller user of different product possibly be same, so Seller Number is 5, and being less than dotey's quantity is 7.
Step 406: the reputation information of current seller user is compared with the reputation information of the different seller user of relationship trading information, and the number of statistics other seller user higher than the reputation information of current seller user.
Simultaneously, to getting access to the corresponding seller user of Seller Number, add up reputation information in these seller user, obtaining of reputation information can obtain with reference to the credit grade of each seller user.The credit grade of current seller user and the credit grade of other seller user are compared, and add up the number of those higher seller user of credit grade.In Fig. 6, the number that said " grade is higher than me " option is corresponding is the number that this step is added up other seller user that obtain, and is 4 in the present example.
Step 407: the sales volume information of other seller user in the sales volume information of current seller user and the said relationship trading information is compared the number of other seller user that statistics sales volume information is higher.
Simultaneously, to getting access to the corresponding seller user of Seller Number, add up sales volume information in these seller user, obtaining of sales volume information can obtain with reference to the dotey's of each seller user trading volume.With the trading volume of this product of current seller user and other seller user about the trading volume of this product relatively, and the number of higher those seller user of statistics trading volume.In Fig. 6, the number that said " sales volume is higher than me " option is corresponding is the number that this step is added up other seller user that obtain, and is 1 in the present example.
Step 408: the pricing information of other seller user current productions in the pricing information of the current production of current seller user and the said relationship trading information is compared the number of other products that the statistics pricing information is lower.
Simultaneously, in said relationship trading information, obtain in these seller user pricing information, and the price of current seller user and the price of other seller user are compared, if the price of other seller user is lower then add up for current production.In Fig. 6, the number that said " price is lower than me " option is corresponding is the number that this step is added up other products that obtain, and is 6 in the present example.
Step 409: obtain in the said relationship trading information the highest knockdown price information and corresponding the highest sales volume information and, rserve price information and the highest corresponding sales volume information.
Product knockdown price in the said relationship trading information is compared, finds out the highest knockdown price information, and under the highest said knockdown price information corresponding the highest sales volume information; Simultaneously, find out rserve price information, and under said lowest price information corresponding the highest sales volume information.With reference to shown in Figure 6, in the present example, the highest knockdown price information that current production is corresponding is " the highest knock-down price " 12.5 yuan, and the sales volume that current production is sold with this price is " selling at most " 2; Simultaneously, the rserve price information that current production is corresponding is " minimum knock-down price " 12 yuan, and the sales volume that product is sold with this price is " selling at most " 7.
Step 410: according to the knockdown price information calculations average price information of each product in the said relationship trading information; And according to the average sales volume information of sales volume information calculations of each product in the said relationship trading information.
In this step, need the corresponding knockdown price of each product that have sales figure in the said relationship trading information be gathered addition, again with the quantity sum of summation divided by each product, the merchant who obtains promptly is the average price information of current production.Simultaneously, according to the average sales volume information of similar method acquisition current production, average price is 12.08 yuan in this example shown in Fig. 6, and average sales volume information is 1.
Step 411: said product analysis data are showed to said current seller user on client with the interface form.
Obtain to adopt interface form shown in Figure 6 on client, to show these product analysis data after the product analysis data.
In the present embodiment, can utilize existing instrument, for example segmenter waits the keyword that extracts name of product, has so just reduced implementation cost.Simultaneously; Also can inquire about the relationship trading information that obtains product based on the certain database that provides in the present embodiment; These Transaction Informations can reflect the marketing information that seller user need be searched really; Just can reduce the data interaction number of times between client and the on-line shop's server, the lifting that can bring travelling speed and performance for on-line shop's server simultaneously provide information to seller user more fast with effective.
With reference to figure 7, show a kind of process flow diagram that is applied to the data processing method embodiment 3 of online trade platform of the application, can may further comprise the steps:
Step 701: receive the querying condition of current seller user, said querying condition comprises current classification information.
In the present embodiment, need to prove that the querying condition of said seller user is a classification; Wherein, Said classification can according in the actual conditions to the classification situation of product and different, for example: " accessories " can be classifications, and " commodity " also can be classifications.Said classification information is selected by seller user.
Step 702: from certain database, obtain in all product informations now of current class described in the said online trade platform.
On the net in the transaction platform; A class has comprised a lot of products now; The product information that the classification difference of selecting according to the user inquires from certain database is also different; Product information can be name of product or product IDs etc., can be so that the follow-up Transaction Information that can find correspondence according to product information.Wherein, said certain database had carried out introducing in detail, repeated no more at this.
Step 703: from certain database, mate the Transaction Information that obtains comprising all products as relationship trading information according to said all product informations.
Can from certain database, mate the All Activity information that these product informations cover that obtains in this step according to the result of step 702, these Transaction Informations promptly are the relationship trading information in the present embodiment.Need to prove that in this step, said relationship trading information is the same class All Activity information of different product now.
Step 704: said relationship trading information is analyzed to be met the product analysis data of requirement.
With reference to figure 8, said step 704 specifically can may further comprise the steps:
Step 801: obtain in the said relationship trading information the highest knockdown price information and corresponding the highest sales volume information and, rserve price information and the highest corresponding sales volume information.
To the current class Transaction Information of all products now, the height of these Transaction Informations according to knockdown price sorted, obtaining the pairing knockdown price of the forward and the most last Transaction Information of rank successively promptly is the highest knockdown price and rserve price.Simultaneously, obtaining the sales volume information that writes down in the most forward Transaction Information of rank promptly is the highest one-tenth price the highest corresponding sales volume information, and obtaining the sales volume information that writes down in the Transaction Information after rank is leaned on most promptly is minimum one-tenth price the highest corresponding sales volume information.
Step 802: the pricing information according to each product in the said relationship trading information calculates average price information; And according to the average sales volume information of sales volume information calculations of each product in the said relationship trading information.
When calculating average price, the knockdown price that need search each product that has sales figure, and all knockdown prices are carried out addition, again with the quantity sum of summation divided by each product, the merchant who obtains is the current class average price of product now.Simultaneously; When calculating average sales volume information, the trading volume information that need search each product that has sales figure, and all trading volumes are carried out addition; With the quantity sum of summation divided by each product, the merchant who obtains is the current class average sales volume information of product now again.
Step 803: add up the current class product number now that relates in the said relationship trading information.
In said relationship trading information, it is individual how many product numbers that statistics relates to has, and searches how many bar relationship trading information here and think promptly what products are current class exist now.
Step 804: the number of adding up the different seller user that relates in the said relationship trading information.
To the relationship trading information that searches; Obtain the total number of seller user wherein; Because each seller user possibly sold such a plurality of products now simultaneously; Therefore in the process that the number of seller user is added up, need go heavily to handle, thereby obtain total number of mutually different seller user identical seller user.
Wherein, Need to prove that the product analysis data that obtain of statistics need not to get access to simultaneously among the step 801-804, also can only carry out wherein certain or some steps and analyze data to obtain portioned product; Certainly; Also can carry out the data analysis of more contents to the relationship trading information that obtains, analyze data to obtain more products, those skilled in the art need not to pay creative work according to disclosed content in the present embodiment can obtain other product analysis data.
Step 705: said product analysis data are showed to said current seller user on client with the interface form.
In the present embodiment; Can be according to the selection of seller user for classification; Thereby in certain database, find such relationship trading information of all products now; And then after analyzing such relationship trading information now the product analysis data are showed in client, but this just makes seller user owing to need certain type detailed marketing information now from search engine database, to inquire about not then, has avoided the repetitive requests operation of seller user for inquiry; Reduce the interaction times of information between seller user and the on-line shop's server, thereby can play the technique effect that promotes on-line shop's server travelling speed and performance.
With reference to figure 9; Show a kind of process flow diagram that is applied to the data processing method embodiment 4 of online trade platform of the application; Present embodiment is appreciated that to the data processing method that is applied to the online trade platform with the application is applied to an object lesson in the reality, can may further comprise the steps:
Step 901: receive the querying condition of current seller user, said querying condition comprises current classification information.Said current classification information also comprises: second initialize data.
In the present embodiment; Because possibly there are a lot of products now in current class; Said second initialize data is used for being limited to current what relevant products of classification inquiry; For example, when second initialize data is 100, the so follow-up just current class of the inquiry corresponding Transaction Information of 100 products now from certain database.Which 100 Transaction Information of concrete inquiry then can change according to the demand of follow-up seller user to some extent.
With reference to shown in Figure 10, select an interface synoptic diagram of classification for supplying seller user.Wherein, " the digital component market of 3C " shown in Figure 10 promptly is the selected big classification of current seller user.The combobox that in Figure 10, also has simultaneously one " selection classification " is used on the level of details more, selecting classification to limit to current seller user.When the big classification of seller user selection was inequality, the classification in " selection classification " combobox also can change to some extent.
Step 902: obtain in all product informations now of current class described in the said online trade platform.
In the present example; Then need at first to obtain such all now product information according to the information (the for example digital component market of 3C) of current classification; In the present example; Product information specifically can comprise " bluetooth earphone ", also can comprise " battery of mobile phone " perhaps " notebook radiator " etc., as long as certain product belongs to current classification and promptly acquires.
Step 903: the relationship trading information of from certain database, mating the Transaction Information that obtains comprising all products according to said all product informations.
The product information that obtains according to step 902 again in this step is mated the All Activity information that obtains these products correspondences from certain database, as the relationship trading information of current classification.
Step 904: sort according to the clicking rate information mode from high to low of said product Transaction Information to said product.
Wherein, The visit capacity information of the said product place page has been explained the popularity height of this product; The popularity of the product that the high more explanation of visit capacity of certain product place page is corresponding is high more, generally speaking, and in practical application; Can only obtain the Transaction Information of popularity high product, therefore need sort according to the Transaction Information of visit capacity information mode from high to low to said product.
Step 905: from certain database, obtain preceding several relationship trading information after the ordering, the number of said relationship trading information is identical with second initialize data.
On the basis that step 904 sorts; Obtain several the most forward Transaction Informations of rank; Because ordering is sorted according to visit capacity information from high to low, thus forward preceding several Transaction Informations of rank corresponding Transaction Information of several products that promptly to be popularity the highest, wherein; If second initialize data is 100 o'clock, the number of the Transaction Information that gets access to also should be 100.
Step 906: obtain in the said relationship trading information the highest knockdown price information and corresponding the highest sales volume information and, rserve price information and the highest corresponding sales volume information.
With reference to shown in Figure 11, be an interface display synoptic diagram of product analysis data.Among the figure, said " the highest knock-down price " 525 yuan promptly is the current class the highest knockdown price of certain product now, and its highest corresponding sales volume information is " sales volume at most " 2835.Said " minimum knock-down price " 1.5 yuan promptly is the current class rserve price of certain product now, and its highest corresponding sales volume information is " the highest sales volume " 106.
Step 907: the knockdown price according to each product in the said relationship trading information is calculated average price information; And according to the average sales volume information of sales volume information calculations of each product in the said relationship trading information.
Please refer to shown in Figure 11ly, wherein, the average price information that calculates is " average price " 79.09 yuan, and the average sales volume information that calculates be " 242 " individual.
Step 908: add up the product number that relates in the said relationship trading information.
Promptly be the product sum that relates in the statistical dependence Transaction Information in this step, because the number of said relationship trading information is identical with second initialize data 100, the product sum that therefore counts on is shown in figure 11, is " similar dotey " 100.
Step 909: the number of adding up the different seller user that relates in the said relationship trading information.
Simultaneously,, go heavily to handle, can obtain add up to 67 of mutually different seller user, " similar seller " shown in figure 11 for different seller user to these 100 relationship trading information.
Step 910: said product analysis data are showed to said current seller user on client with the interface form.
Obtain on client, to show to seller user after the final product analysis data with the interface form.
For aforesaid each method embodiment; For simple description; So it all is expressed as a series of combination of actions, but those skilled in the art should know that the application does not receive the restriction of described sequence of movement; Because according to the application, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in the instructions all belongs to preferred embodiment, and related action and module might not be that the application is necessary.
Corresponding with the method that a kind of data processing method embodiment 1 that is applied to the online trade platform of above-mentioned the application is provided; Referring to Figure 12; The application also provides a kind of data processing equipment embodiment 1 that is applied to the online trade platform, and in the present embodiment, this device can comprise:
Receive querying condition module 1201, be used to receive the querying condition of current seller user, said querying condition comprises the related information or the current classification information of current production;
Inquiry relationship trading information module 1202; Be used for obtaining relationship trading information from the certain database inquiry according to the related information of said current production or current classification information, said certain database be used for storage products on the net transaction platform carry out the Transaction Information that exchange produces;
With reference to Figure 13, said analysis module 1203 specifically also can comprise:
First statistical module 1301 is used for adding up said relationship trading information and comprises the product quantity of said product keyword, and adds up the number of the seller user under the said product correspondence;
Second statistical module 1302 is used for the reputation information of current seller user is compared with the reputation information of the different seller user that satisfy said prestige block information, and the number of statistics other seller user higher than the reputation information of current seller user;
The 3rd statistical module 1303; Be used to add up with the sales volume information of current seller user on said product; Compare the number of other seller user that statistics sales volume information is higher with the sales volume information of other seller user on said product in the said relationship trading information;
The 4th statistical module 1304 compares the product number of other seller user that the statistics pricing information is lower with the pricing information of the current production of other seller user in the pricing information of the current production of current seller user and the said relationship trading information;
Acquisition module 1305, be used for obtaining said relationship trading information current production the highest knockdown price information and corresponding the highest sales volume information and, rserve price information and the highest corresponding sales volume information;
Computing module 1306 is used for obtaining the pricing information of said each product of relationship trading information and calculates average price information; The average sales volume information of sales volume information calculations according to each product in the said relationship trading information.
The described device of present embodiment can be integrated on on-line shop's server; Also can be separately link to each other with the on-line shop server, in addition, need to prove as an entity; When the described method of the application adopts software to realize; Can be used as a newly-increased function of on-line shop's server, can write corresponding program separately yet, the application does not limit the implementation of said method or device.
Corresponding with the method that a kind of data processing method embodiment 2 that is applied to the online trade platform of above-mentioned the application is provided; Referring to Figure 14; The application also provides a kind of preferred embodiment 2 that is applied to the data processing equipment of online trade platform; In the present embodiment, this device specifically can comprise:
Receive querying condition module 1201, be used to receive the querying condition of current seller user, said querying condition comprises the related information or the current classification information of current production;
Obtain Transaction Information module 1404, be used for obtaining preceding several relationship trading information after the ordering from certain database, the number of said relationship trading information is identical with first initialize data.
Corresponding with a kind of data processing method embodiment 3 that is applied to the online trade platform of above-mentioned the application; With reference to Figure 15; The application also provides a kind of data processing equipment embodiment 3 that is applied to the online trade platform, and in the present embodiment, this device specifically can comprise:
Receive querying condition module 1201, be used to receive the querying condition of current seller user, said querying condition comprises the related information or the current classification information of current production;
Obtain classification module 1501, be used for obtaining in all product informations now of current class described in the said online trade platform from certain database;
The 5th statistical module 1505 is used for adding up the current class product number now that said relationship trading information relates to;
The 6th statistical module 1506 is used for adding up the number of the different seller user that said relationship trading information relates to.
Corresponding with a kind of data processing method embodiment 4 that is applied to the online trade platform of above-mentioned the application; With reference to Figure 16; The application also provides a kind of data processing equipment embodiment 4 that is applied to the online trade platform, and in the present embodiment, this device specifically can comprise:
Receive querying condition module 1201, be used to receive the querying condition of current seller user, said querying condition comprises the related information or the current classification information of current production;
Obtain classification module 1501, be used for obtaining in all product informations now of current class described in the said online trade platform from certain database;
Simultaneously, the application embodiment also provides a kind of on-line shop server, and said on-line shop server comprises any disclosed data processing equipment of device embodiment among the application.
Need to prove that each embodiment in this instructions all adopts the mode of going forward one by one to describe, what each embodiment stressed all is and the difference of other embodiment that identical similar part is mutually referring to getting final product between each embodiment.For device type embodiment, because it is similar basically with method embodiment, so description is fairly simple, relevant part gets final product referring to the part explanation of method embodiment.
At last; Also need to prove; In this article; Relational terms such as first and second grades only is used for an entity or operation are made a distinction with another entity or operation, and not necessarily requires or hint relation or the order that has any this reality between these entities or the operation.And; Term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability; Thereby make and comprise that process, method, article or the equipment of a series of key elements not only comprise those key elements; But also comprise other key elements of clearly not listing, or also be included as this process, method, article or equipment intrinsic key element.Under the situation that do not having much more more restrictions, the key element that limits by statement " comprising ... ", and be not precluded within process, method, article or the equipment that comprises said key element and also have other identical element.
More than a kind of data processing method, device and server that is applied to the online trade platform that the application provided carried out detailed introduction; Used concrete example among this paper the application's principle and embodiment are set forth, the explanation of above embodiment just is used to help to understand the application's method and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to the application's thought, the part that on embodiment and range of application, all can change, in sum, this description should not be construed as the restriction to the application.
Claims (10)
1. a data processing method that is applied to the online trade platform is characterized in that, this method comprises:
Receive the querying condition of current seller user, said querying condition comprises the related information or the current classification information of current production;
From certain database, inquire about the relationship trading information that obtains according to the related information or the current classification information of said current production, said certain database is used for the storage products transaction platform Transaction Information that carries out exchange's generation on the net;
Said relationship trading information is analyzed to be met the product analysis data of requirement.
2. method according to claim 1 is characterized in that, also comprises:
Said product analysis data are showed to said current seller user on client with the interface form.
3. method according to claim 1 and 2; It is characterized in that; The related information of said current production comprises: current production title, prestige block information, price range information, trading volume information and/or area information; The related information of the said current production of then said foundation is inquired about from certain database and is obtained relationship trading information, specifically comprises:
Extract the one or more product keywords in the said current production title;
From the All Activity information of said certain database, search for the relationship trading information that satisfies said prestige block information, price range information, trading volume information and/or area information according to said keyword.
4. method according to claim 3 is characterized in that, said said relationship trading information is analyzed to be met the product analysis data of requirement, specifically comprises:
Add up in the said relationship trading information and comprise the product quantity of said product keyword, and add up the number of the seller user under the said product correspondence;
The reputation information of current seller user is compared with the reputation information of the different seller user that satisfy said prestige block information, and the number of statistics other seller user higher than the reputation information of current seller user;
With the sales volume information of current seller user on said product, compare the number of other seller user that statistics sales volume information is higher with the sales volume information of other seller user on said product in the said relationship trading information;
The pricing information of the current production of other seller user in the pricing information of the current production of current seller user and the said relationship trading information is compared the product number of other seller user that the statistics pricing information is lower;
Obtain current production in the said relationship trading information the highest knockdown price information and corresponding the highest sales volume information and, rserve price information and the highest corresponding sales volume information;
Obtain the pricing information of each product in the said relationship trading information and calculate average price information; The average sales volume information of sales volume information calculations according to each product in the said relationship trading information.
5. method according to claim 4 is characterized in that, the related information of said current production also comprises: first initialize data; The said keyword of then said foundation is searched for from the All Activity information of said certain database and is satisfied after the relationship trading information of said prestige block information, price range information, trading volume information and/or area information, also comprises:
Sort according to the clicking rate information mode from high to low of said product relationship trading information to said product;
From certain database, obtain preceding several relationship trading information after the ordering, the number of said relationship trading information is identical with first initialize data.
6. method according to claim 1 and 2 is characterized in that, inquires about obtaining relationship trading information according to said current classification information with from certain database, specifically comprises:
From certain database, obtain in all product informations now of current class described in the said online trade platform;
From certain database, mate the Transaction Information that obtains comprising all products as relationship trading information according to said all product informations.
7. method according to claim 6 is characterized in that, said said relationship trading information is analyzed to be met the product analysis data of requirement, specifically comprises:
Obtain in the said relationship trading information the highest knockdown price information and corresponding the highest sales volume information and, rserve price information and the highest corresponding sales volume information;
Pricing information according to each product in the said relationship trading information calculates average price information; And according to the average sales volume information of sales volume information calculations of each product in the said relationship trading information;
Add up the current class product number now that relates in the said relationship trading information;
Add up the number of the different seller user that relates in the said relationship trading information.
8. method according to claim 7; It is characterized in that; Said current classification information also comprises: second initialize data, said all product informations of then said foundation are mated from certain database after the relationship trading information of the Transaction Information that obtains comprising all products, also comprise:
Sort according to the clicking rate information mode from high to low of said product Transaction Information to said product;
From certain database, obtain preceding several relationship trading information after the ordering, the number of said relationship trading information is identical with second initialize data.
9. a data processing equipment that is applied to the online trade platform is characterized in that, this device comprises:
Receive the querying condition module, be used to receive the querying condition of current seller user, said querying condition comprises the related information or the current classification information of current production;
Inquiry relationship trading information module; Be used for obtaining relationship trading information from the certain database inquiry according to the related information of said current production or current classification information, said certain database be used for storage products on the net transaction platform carry out the Transaction Information that exchange produces;
Analysis module is used for said relationship trading information is analyzed to be met the product analysis data of requirement.
10. on-line shop's server is characterized in that, this on-line shop's server comprises the described data processing equipment of claim 9.
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