CN103942708A - Method and system for evaluating regional customers - Google Patents
Method and system for evaluating regional customers Download PDFInfo
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- CN103942708A CN103942708A CN201410143361.1A CN201410143361A CN103942708A CN 103942708 A CN103942708 A CN 103942708A CN 201410143361 A CN201410143361 A CN 201410143361A CN 103942708 A CN103942708 A CN 103942708A
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Abstract
The invention provides a method for evaluating regional customers. The method comprises the steps that customer information in a prospective region is obtained regularly, wherein the customer information comprises attribute data and network behavior data of the customers, and the prospective region at least comprises one region; the customer information in the prospective region is subjected to clustering analysis; the customers in the region are evaluated according to clustering analysis results. Compared with the traditional method that an artificial system is adopted to determine commodity suppliers and purchase commodities, the method is more timely and accurate; moreover, since analysis is conducted according to objective network data, the analysis method and system are more scientific and reasonable.
Description
Technical field
The present invention relates to e-commerce field, particularly relate to a kind of method and system that region client is evaluated.
Background technology
Due in recent years, ecommerce becomes the main trend of internet economy development gradually, relies on the E-business applications of the infotecies such as internet, universal and development with surprising rapidity in worldwide at present.In fact, ecommerce becomes a more and more important ingredient in entire society's economic activity just gradually.Along with the universal and development of ecommerce, whether people can reappear more and more and pay close attention to traditional commercial activity on network.
Network trading platform as ecommerce intermediary need to be by the commodity displaying of goods providers (comprising commodity manufacturer, dealer etc.) to user.The management mode of transaction platform mainly contains two kinds: a kind of be transaction platform only as intermediary, the commodity displaying of goods providers, to transaction platform, is directly concluded the business by user and goods providers, such as Taobao, Alibaba etc.; Another kind be transaction platform from commodity suppliers commodities purchased, the risk of merchandise sales is married again transaction platform, is concluded the business, such as store, Jingdone district etc. by transaction platform and user.
Under rear a kind of pattern, because transaction platform need to bear that procurement of commodities is excessive, commodity hoard that sale is not gone out, offtake surges but the not enough equivalent risk of the supply of goods, therefore, the abundant understanding of transaction platform needs in commodities purchased is various may run into business risk, just can maintain the operation of transaction platform.Particularly, along with the development of ecommerce, a large sum of money commodity on net purchase platform are also more and more, and such as the heating and ventilating equipment for factory, electromechanical equipment etc., the risk that transaction platform faces is just larger.One of them means of controlling risk are exactly by analyzed area data, fully grasp the merchandise sales situation of different regions and the situation of goods providers, with this, decide procurement scheme.
At present, transaction platform determines that goods providers and commodities purchased are all by manual system, time-consuming, effort, and subjective factor impact is larger.
Summary of the invention
The shortcoming of prior art, the object of the present invention is to provide a kind of method and system that region client is evaluated, the problem of the area data in network trading being analyzed for solving prior art in view of the above.
For achieving the above object and other relevant objects, the invention provides a kind of method that region client is evaluated, said method comprising the steps of:
Regularly obtain the customer information under presumptive area, described customer information comprises client's attribute data and network behavior data, and described presumptive area at least comprises a region;
Customer information under described presumptive area is carried out to cluster analysis;
According to described cluster analysis result, the client in described region is evaluated.
Preferably, according to described cluster analysis result, the client in described region is evaluated further and is comprised:
The cluster analysis result of zones of different is contrasted;
According to comparing result, the client in described region is evaluated.
Preferably, according to described cluster analysis result, the client in described region is evaluated further and is comprised:
Cluster analysis result by the same area at different times contrasts;
According to comparing result, the client in described region is evaluated.
Preferably, described region is geographic area.
Preferably, described client's attribute data at least comprises that client's ID, described client are at attribute, credit data, award and punishment data, qualification authentication data and user's evaluating data of the hour of log-on of business site, certificate data, log-on message, merchandise provided.
Preferably, described network behavior data at least comprise that described client's historical trading data and behavior, client's is subsidized data, profit data and production cost delta data.
Preferably, the customer information under described presumptive area being carried out to cluster analysis further comprises:
Extract the characteristic in customer information;
According to preset project number, described characteristic is carried out to cluster analysis.
Correspondingly, the present invention also provides a kind of schematic diagram of the system that region client is evaluated, and described system comprises:
Acquisition of information module, for regularly obtaining the customer information under presumptive area, described customer information comprises client's attribute data and network behavior data, described presumptive area at least comprises a region;
Cluster analysis module, carries out cluster analysis for the customer information under described presumptive area;
Evaluation module, for evaluating the client in described region according to described cluster analysis result.
Preferably, described evaluation module further comprises:
The first contrast unit, for contrasting the cluster analysis result of zones of different;
The first evaluation unit, for evaluating the client in described region according to comparing result.
Preferably, described evaluation module further comprises:
The second contrast unit, for by the same area, the cluster analysis result at different times contrasts;
The second evaluation unit, for evaluating the client in described region according to comparing result.
As mentioned above, the method and system that the present invention evaluates region client, have following beneficial effect:
The present invention is by regularly obtaining the client's in one or more regions attribute data and network behavior data, and the attribute data of regional and network behavior data are carried out to cluster analysis, according to described cluster analysis result, evaluate the reason that described region customer quantity increases or reduces, thereby in the process of determining goods providers and commodities purchased, provide strong Data support for transaction platform.
Determine that with traditional employing manual system goods providers and commodities purchased compare, the present invention more in time, accurately, and analyzes according to objective network data, and analytical approach and system be science, rationally more.
Accompanying drawing explanation
Fig. 1 is shown as the method schematic diagram that region client is evaluated of the present invention.
Fig. 2 is shown as the system schematic that region client is evaluated of the present invention.
Embodiment
Below, by specific instantiation explanation embodiments of the present invention, those skilled in the art can understand other advantages of the present invention and effect easily by the disclosed content of this instructions.The present invention can also be implemented or be applied by other different embodiment, and the every details in this instructions also can be based on different viewpoints and application, carries out various modifications or change not deviating under spirit of the present invention.
The present invention can be used in numerous general or special purpose computingasystem environment or configuration.For example: personal computer, server computer, handheld device or portable set, plate equipment, multicomputer system, comprise distributed computing environment of above any system or equipment etc.
The present invention 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 data type, program, object, assembly, data structure etc.Also can in distributed computing environment, put into practice the present invention.In these distributed computing environment, by the teleprocessing equipment being connected by communication network, executed the task.In distributed computing environment, program module can be arranged in the local and remote computer-readable storage medium that comprises memory device.
Refer to Fig. 1, show the schematic flow sheet of a kind of method that region client is evaluated of the present invention, described method can comprise the following steps:
Step S1: regularly obtain the customer information under presumptive area, described customer information comprises client's attribute data and network behavior data, and described presumptive area at least comprises a region.
It should be noted that, described region is geographic area.The mode that the present invention obtains the customer information under presumptive area can be: set in advance one or more regions, as countries such as China, the U.S., Germany, also can be the cities such as Beijing, Guangzhou, Shanghai, also can be a plurality of districts in same city, as Tongzhou District, Pekinese, Daxing District, Xicheng District, Haidian District etc., from the database in these regions, regularly obtain customer information.
It should be noted that, can obtain by the mode on line or under line client's network behavior data and attribute data.In practice, can set up and being connected of online application program by calling interface, the mode by online application program based on interface interchange, pushes to described calling interface by the network behavior data of respective client and attribute data.Here, can be understood as often and obtain at regular intervals in real time, for example, every 1 hour, or 1 day, or 2 days etc.Those skilled in the art can be according to actual needs, and the real-time implication of applying in a flexible way is obtained client's network behavior data and attribute data.
Described client's attribute data at least comprises that client's ID, described client are at attribute, credit data, award and punishment data, qualification authentication data and user's evaluating data of the hour of log-on of business site, certificate data, log-on message, merchandise provided.Particularly, log-on message comprises that article provider's scale, registered capital, affiliated industry, location, enterprise set up time, financial data etc.The attribute of merchandise provided comprises price, type, performance and the newness degree etc. of commodity.Credit data comprises credit rating data, guarantee data bank platform on, loan and the refund data etc. of article provider on transaction platform.Qualification authentication data comprise article provider's production and operation licence, operation license and other related credentials.User's evaluating data refers to that user passes through transaction platform or the evaluation situation of other approach to article provider's commodity, as opinion rating, evaluation score etc.Reward and punish award and the punishment situation that data comprise the departments such as government, industry and commerce, the tax, law court.
Described network behavior data at least comprise that described client's historical trading data and behavior, client's is subsidized data, profit data and production cost delta data.Particularly, historical trading data and behavior comprise: the MAC(Media Access Control of the transaction count of the registered account of article provider, dealing money, number of transaction, accession page, medium access control) address change, whether deliver on time, whether have promise breaking record, have or not the data such as Transaction Disputes occurs.The described data of being subsidized comprise that client is subject to the situation of government-funded or support or is subject to its hetero-organization or the situation of individual's subsidy or support.Described profit data refer to the profit situation of the business that client manages.Described production cost delta data comprises the data that client's production cost improves or reduces.Above-mentioned data can be obtained by data such as enterprise annual reports, financial statements.
Step S2: the customer information under described presumptive area is carried out to cluster analysis.
It should be noted that, the customer information under described presumptive area is carried out to cluster analysis and further comprise: extract the characteristic in customer information; According to preset project number, described characteristic is carried out to cluster analysis.Particularly, the user with identical or close characteristic being gathered is a class.Cluster refers to and the client with similar features is condensed together and forms a set, the feature using whole feature as set interior element.For example, if find that in characteristic client A and client B have the identical profit amount of money, or there is the identical amount of money of being subsidized, or production cost raises or the number percent of reduction is identical, A and B is aggregated into a set.Form by cluster result with tables of data is kept in database.When carrying out cluster analysis, the user with identical or close characteristic is carried out after cluster, form a lot of large bunch, in embodiments of the present invention, the tuftlet with large bunch of vicinity is merged in large bunch.Described preset project number refers to according to the quantity of the set class of the type of characteristic.Clustering method can adopt the familiar method of those skilled in the art, as K-MEANS algorithm.
Step S3: the client in described region is evaluated according to described cluster analysis result.
It should be noted that, obtain after the cluster analysis result of regional, can evaluate by analyzing cluster result this field client's variation.For example, if the client in some areas subsidized that the amount of money is polymerized to bunch larger, and it is bunch also larger that number of transaction is polymerized to, illustrate that commodity that the client of this area manages are subject to the support of government, development potentiality may be larger, can determine buying measure thus, for example, continue purchase commodity supplier's commodity.
Preferably, according to described cluster analysis result, the client in described region is evaluated further and comprised: the cluster analysis result of zones of different is contrasted; According to comparing result, the client in described region is evaluated.For zones of different, can carry out across comparison to it, for example, the cluster result of China and U.S.A can be contrasted, can find out the consumption pattern of different regions, or the impact of the suffered different factors of the client of different regions.During contrast, can be by bunch contrasting of being polymerized under the same project of different regions.
Preferably, according to described cluster analysis result, the client in described region is evaluated further and comprised: the cluster analysis result by the same area at different times contrasts; According to comparing result, the client in described region is evaluated.For the same area, can longitudinally contrast it, for example, the current cluster analysis result in CHINESE REGION can be contrasted with the cluster analysis result in early stage, therefrom can find out that same area is in different times client's situation of change and the reason of variation.During contrast, can be by bunch contrasting of being polymerized under the same project of different times.
Refer to Fig. 2, show the schematic diagram of a kind of system that region client is evaluated of the present invention, described system A200 comprises:
Acquisition of information modules A 201, for regularly obtaining the customer information under presumptive area, described customer information comprises client's attribute data and network behavior data, described presumptive area at least comprises a region;
Cluster analysis modules A 202, carries out cluster analysis for the customer information under described presumptive area;
Evaluation module A203, for evaluating the client in described region according to described cluster analysis result.
Preferably, described evaluation module A203 further comprises:
The first contrast unit A2031, for contrasting the cluster analysis result of zones of different;
The first evaluation unit A2032, for evaluating the client in described region according to comparing result.
Preferably, described evaluation module A203 further comprises:
The second contrast unit A2033, for by the same area, the cluster analysis result at different times contrasts;
The second evaluation unit A2034, for evaluating the client in described region according to comparing result.
Preferably, described region is geographic area.
Preferably, described client's attribute data at least comprises that client's ID, described client are at attribute, credit data, award and punishment data, qualification authentication data and user's evaluating data of the hour of log-on of business site, certificate data, log-on message, merchandise provided.
Preferably, described network behavior data at least comprise that described client's historical trading data and behavior, client's is subsidized data, profit data and production cost delta data.
Preferably, described cluster analysis modules A 202 further comprises:
Characteristic extraction unit A2021, for extracting the characteristic of customer information;
Characteristic cluster analysis unit A2022, for carrying out cluster analysis according to preset project number to described characteristic.
It should be noted that, system embodiment please refer to the explanation of embodiment of the method, does not repeat them here.
In sum, the method and system that the present invention evaluates region client, have following beneficial effect:
The present invention is by regularly obtaining the client's in one or more regions attribute data and network behavior data, and the attribute data of regional and network behavior data are carried out to cluster analysis, according to described cluster analysis result, evaluate the reason that described region customer quantity increases or reduces, thereby in the process of determining goods providers and commodities purchased, provide strong Data support for transaction platform.
Determine that with traditional employing manual system goods providers and commodities purchased compare, the present invention more in time, accurately, and analyzes according to objective network data, and analytical approach and system be science, rationally more.。So the present invention has effectively overcome various shortcoming of the prior art and tool high industrial utilization.
Above-described embodiment is illustrative principle of the present invention and effect thereof only, but not for limiting the present invention.Any person skilled in the art scholar all can, under spirit of the present invention and category, modify or change above-described embodiment.Therefore, such as in affiliated technical field, have and conventionally know that the knowledgeable, not departing from all equivalence modifications that complete under disclosed spirit and technological thought or changing, must be contained by claim of the present invention.
Claims (10)
1. a method of region client being evaluated, is characterized in that, described method comprises:
Regularly obtain the customer information under presumptive area, described customer information comprises client's attribute data and network behavior data, and described presumptive area at least comprises a region;
Customer information under described presumptive area is carried out to cluster analysis;
According to described cluster analysis result, the client in described region is evaluated.
2. method according to claim 1, is characterized in that: according to described cluster analysis result, the client in described region is evaluated further and comprised:
The cluster analysis result of zones of different is contrasted;
According to comparing result, the client in described region is evaluated.
3. method according to claim 1, is characterized in that: according to described cluster analysis result, the client in described region is evaluated further and comprised:
Cluster analysis result by the same area at different times contrasts;
According to comparing result, the client in described region is evaluated.
4. method according to claim 1, is characterized in that: described region is geographic area.
5. method according to claim 1, is characterized in that: described client's attribute data at least comprises that client's ID, described client are at attribute, credit data, award and punishment data, qualification authentication data and user's evaluating data of the hour of log-on of business site, certificate data, log-on message, merchandise provided.
6. method according to claim 1, is characterized in that: described network behavior data at least comprise that described client's historical trading data and behavior, client's is subsidized data, profit data and production cost delta data.
7. method according to claim 1, is characterized in that, the customer information under described presumptive area is carried out to cluster analysis and further comprise:
Extract the characteristic in customer information;
According to preset project number, described characteristic is carried out to cluster analysis.
8. a system of region client being evaluated, is characterized in that, described system comprises:
Acquisition of information module, for regularly obtaining the customer information under presumptive area, described customer information comprises client's attribute data and network behavior data, described presumptive area at least comprises a region;
Cluster analysis module, carries out cluster analysis for the customer information under described presumptive area;
Evaluation module, for evaluating the client in described region according to described cluster analysis result.
9. system according to claim 8, is characterized in that: described evaluation module further comprises:
The first contrast unit, for contrasting the cluster analysis result of zones of different;
The first evaluation unit, for evaluating the client in described region according to comparing result.
10. system according to claim 8, is characterized in that: described evaluation module further comprises:
The second contrast unit, for by the same area, the cluster analysis result at different times contrasts;
The second evaluation unit, for evaluating the client in described region according to comparing result.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201410143361.1A CN103942708A (en) | 2013-09-30 | 2014-04-10 | Method and system for evaluating regional customers |
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| CN201310461261 | 2013-09-30 | ||
| CN201310461261.9 | 2013-09-30 | ||
| CN201410143361.1A CN103942708A (en) | 2013-09-30 | 2014-04-10 | Method and system for evaluating regional customers |
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| CN103942708A true CN103942708A (en) | 2014-07-23 |
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| CN201410143361.1A Pending CN103942708A (en) | 2013-09-30 | 2014-04-10 | Method and system for evaluating regional customers |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN104394118A (en) * | 2014-07-29 | 2015-03-04 | 焦点科技股份有限公司 | User identity identification method and system |
| CN105306213A (en) * | 2015-09-23 | 2016-02-03 | 中国联合网络通信集团有限公司 | User information processing method and system |
| CN105488698A (en) * | 2015-12-16 | 2016-04-13 | 电信科学技术第十研究所 | Analysis method and equipment of space region client density |
| CN105490823A (en) * | 2015-12-24 | 2016-04-13 | 原肇 | Data processing method and device |
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| CN101937541A (en) * | 2009-06-30 | 2011-01-05 | 商文彬 | Method and device for evaluating client credit |
| CN102780920A (en) * | 2011-07-05 | 2012-11-14 | 上海奂讯通信安装工程有限公司 | Television program recommending method and system |
| US20130060715A1 (en) * | 2011-09-06 | 2013-03-07 | Chang-Min Kil | Intellectual property commercialization supporting system capable of diversifying investment risk based on social network |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101937541A (en) * | 2009-06-30 | 2011-01-05 | 商文彬 | Method and device for evaluating client credit |
| CN102780920A (en) * | 2011-07-05 | 2012-11-14 | 上海奂讯通信安装工程有限公司 | Television program recommending method and system |
| US20130060715A1 (en) * | 2011-09-06 | 2013-03-07 | Chang-Min Kil | Intellectual property commercialization supporting system capable of diversifying investment risk based on social network |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104394118A (en) * | 2014-07-29 | 2015-03-04 | 焦点科技股份有限公司 | User identity identification method and system |
| CN105306213A (en) * | 2015-09-23 | 2016-02-03 | 中国联合网络通信集团有限公司 | User information processing method and system |
| CN105306213B (en) * | 2015-09-23 | 2019-07-09 | 中国联合网络通信集团有限公司 | User information processing method and system |
| CN105488698A (en) * | 2015-12-16 | 2016-04-13 | 电信科学技术第十研究所 | Analysis method and equipment of space region client density |
| CN105490823A (en) * | 2015-12-24 | 2016-04-13 | 原肇 | Data processing method and device |
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Application publication date: 20140723 |