CN102339447A - Active service device and method - Google Patents
Active service device and method Download PDFInfo
- Publication number
- CN102339447A CN102339447A CN2011102845070A CN201110284507A CN102339447A CN 102339447 A CN102339447 A CN 102339447A CN 2011102845070 A CN2011102845070 A CN 2011102845070A CN 201110284507 A CN201110284507 A CN 201110284507A CN 102339447 A CN102339447 A CN 102339447A
- Authority
- CN
- China
- Prior art keywords
- customers
- service
- visitor
- characteristic
- initiative
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Abstract
The invention provides an active service device and method. The active service device comprises a characteristic data acquisition unit, a search acknowledgment unit, a service data acquisition unit and an active service unit, wherein the characteristic data acquisition unit is used for acquiring characteristic data of visitors of a user website; the search acknowledgement unit is used for querying a client base to which the visitors belong, from a preset client base, according to the characteristic data of the visitors; the service data acquisition unit is used for acquiring service mode data preallocated to the client base to which the visitors belong; and the active service unit is used for actively providing service for the visitors according to the service mode data. Through the technical scheme, analysis to characteristics of the visitors can be automatically realized, and the visitors are divided into different clients according to the difference of the visitors, and corresponding services are provided for the visitors.
Description
Technical field
The present invention relates to field of computer technology, in particular to a kind of device and a kind of method of taking the initiative in offering a hand of taking the initiative in offering a hand.
Background technology
Along with popularizing and Development of E-business of internet, the demand of network active marketing service is more and more urgent, but the link of taking the initiative in offering a hand in the online customer service system is very weak.
The mode of taking the initiative in offering a hand mainly contains two kinds in the online customer service system at present: the one, and according to the information that monitors, artificial judgment visitor's behavior is also manually sent the invitation of taking the initiative in offering a hand to the contact staff in the watch-list on backstage; The 2nd, whether system's judges is just at accessed web page, if promptly send the invitation of taking the initiative in offering a hand.
All there is drawback in this method of service of two kinds at present.The former mainly relies on contact staff's artificial judgment; Efficient is very low; Online customer service is obeyed different with the conventional door customer; Each second all possibly face thousands of visitor, relies on several merely or tens customer services can not be accomplished whole visitors' screenings and take the initiative in offering a hand, so can cause a large amount of purpose customer churns.
The latter does not have very much specific aim as long as the client just just sends the mode of serving invitation at accessed web page, can't really recognize client's intention, blindly sends the invitation of taking the initiative in offering a hand, and not only cause resource waste, and the success ratio that the client accepts is also very low.
Above in addition dual mode is all more single on service form, can not adapt to various dissimilar visitor's demands on the network, can't play good service effectiveness.
Therefore, as the online customer service system of e-commerce services platform how can obtain fast and intellectual analysis client behavior and according to analysis result launch initiatively, comprehensively, marketing service efficiently, become a urgent problem.
Summary of the invention
Technical matters to be solved by this invention is, as the online customer service system of e-commerce services platform how can obtain fast and intellectual analysis client behavior and according to analysis result launch initiatively, comprehensively, marketing service efficiently.
In view of this, the present invention provides a kind of device of taking the initiative in offering a hand, and comprising: the characteristic acquiring unit, obtain the visitor's of user website characteristic; The search confirmation unit according to said visitor's characteristic, from the customers that pre-set, inquires the affiliated customers of said client; The service data acquiring unit obtains the method for service data that are pre-assigned to the affiliated customers of said visitor; The unit of taking the initiative in offering a hand according to said method of service data, initiatively is that said visitor provides service.Through this technical scheme, can realize analysis automatically to visitor's characteristic, according to visitor's difference it is divided into different clients, and corresponding service is provided for it.
Visitor's characteristic can be obtained through the website monitoring technique, specifically can comprise user profile characteristic (sex, age etc.), end message characteristic (mobile phone model, operating system etc.), source-information characteristic (affiliated area, source page etc.) and visit behavioural characteristic (visit duration, access times etc.).
In technique scheme, preferably, also comprise: customers are provided with the unit, for each customers that pre-sets are provided with the characteristic data set that comprises one or more characteristics; Said search confirmation unit matees said visitor's the characteristic and the characteristic data set of said each customers, and selects the successful pairing customers of characteristic data set of coupling as the customers under the said visitor.Through this technical scheme, can effectively and exactly distinguish different visitors, it is divided into different clients.Particularly, can adopt Method of Fuzzy Matching to carry out matching operation.
In technique scheme; Preferably; Said customers are provided with the unit also when not having the successful characteristic data set of coupling; Said visitor's characteristic as new characteristic data set, and is set up new customers for said new characteristic data set, and be that said new customers distribute corresponding method of service data.Through this technical scheme, can in the process that service is provided for the user, realize automatic learning mechanism, along with increasing of visitor, the setting of customers and respective service mode also can be more reasonable, helps providing more accurately and effectively service.
In technique scheme, preferably, said customers are provided with the unit also before the quantity that characteristic and said new characteristic data set mate whole clients successfully surpasses predetermined threshold, forbid said new customers as the customers under any visitor.Through this technical scheme, if visitor and other visitors difference is bigger, then there is no need to launch separately to the customers of its setting and serve accordingly, can reduce unnecessary resource consumption.
In technique scheme, preferably, also comprise: the service assignment unit, for each customers that pre-sets distribute the service strategy that comprises one or more method of service data; Said service data acquiring unit obtains the service strategy of distributing to the affiliated customers of said visitor; The said unit of taking the initiative in offering a hand initiatively is that said client provides service by the method for service data in the service strategy of distributing to customers under the said client.Through this technical scheme, realized providing for the visitor simultaneously the function of multiple service.The particular type of service can comprise multiple services such as advertisement pushing, commercial product recommending.
The present invention also provides a kind of method of taking the initiative in offering a hand, and comprising: step 202, obtain the visitor's of user website characteristic; Step 204 according to said visitor's characteristic, from the customers that pre-set, searches out the affiliated customers of said visitor; Step 206 is obtained the method for service data that are pre-assigned to the affiliated customers of said visitor; Step 208 according to said method of service data, initiatively is that said visitor provides service.Through this technical scheme, can realize analysis automatically to visitor's characteristic, according to visitor's difference it is divided into different clients, and corresponding service is provided for it.
Visitor's characteristic can be obtained through the website monitoring technique, specifically can comprise user profile characteristic (sex, age etc.), end message characteristic (mobile phone model, operating system etc.), source-information characteristic (affiliated area, source page etc.) and visit behavioural characteristic (visit duration, access times etc.).
In technique scheme, preferably, before said step 204, also comprise: for each customers that pre-sets are provided with the characteristic data set that comprises one or more characteristics; Said step 204 specifically comprises: said visitor's the characteristic and the characteristic data set of said each customers are mated, and select the successful pairing customers of characteristic data set of coupling as the customers under the said client.Through this technical scheme, can effectively and exactly distinguish different visitors, it is divided into different clients.Particularly, can adopt Method of Fuzzy Matching to carry out matching operation.
In technique scheme; Preferably; Said step 204 also comprises: when not having the successful characteristic data set of coupling; Said visitor's characteristic as new characteristic data set, and is set up new customers for said new feature set, and be that said new customers distribute corresponding method of service data.Through this technical scheme, can in the process that service is provided for the user, realize automatic learning mechanism, along with increasing of visitor, the setting of customers and respective service mode also can be more reasonable, helps providing more accurately and effectively service.
In technique scheme, preferably, said step 204 also comprises: before the quantity that characteristic and said new characteristic data set mate whole visitors successfully surpasses predetermined threshold, forbid said new customers as the customers under any visitor.Through this technical scheme, if visitor and other visitors difference is bigger, then there is no need to launch separately to the customers of its setting and serve accordingly, can reduce unnecessary resource consumption.
In technique scheme, preferably, before said step 206, also comprise: for each customers that pre-sets distribute the service strategy that comprises one or more method of service data; Said step 206 specifically comprises: obtain the service strategy of distributing to the affiliated customers of said visitor; Said step 208 specifically comprises: by the method for service data in the service strategy of distributing to customers under the said visitor, initiatively be that said client provides service.Through this technical scheme, realized providing for the visitor simultaneously the function of multiple service.Through this technical scheme, realized providing for the visitor simultaneously the function of multiple service.The particular type of service can comprise multiple services such as advertisement pushing, commercial product recommending.
Through above technical scheme, can realize a kind of device and a kind of method of taking the initiative in offering a hand of taking the initiative in offering a hand, can grasp visitor's information and behavioural characteristic through the website monitoring technique; These characteristics are carried out the intellectual analysis fuzzy matching; The visitor is classified as specific customers, and articulate corresponding service strategy for the particular customer crowd, in case visitor's behavioural characteristic is mated successfully; Service strategy to this visitor will start automatically, and realization intelligence is taken the initiative in offering a hand.
Description of drawings
Fig. 1 is the block diagram of the device of taking the initiative in offering a hand according to an embodiment of the invention;
Fig. 2 is the process flow diagram of the method for taking the initiative in offering a hand according to an embodiment of the invention;
Fig. 3 is the overall schematic of the method for taking the initiative in offering a hand according to an embodiment of the invention;
Fig. 4 is the synoptic diagram of the characteristic in the method for taking the initiative in offering a hand according to an embodiment of the invention;
Fig. 5 is the synoptic diagram that carries out the characteristic coupling in the method for taking the initiative in offering a hand according to an embodiment of the invention.
Embodiment
In order more to be expressly understood above-mentioned purpose of the present invention, feature and advantage, the present invention is further described in detail below in conjunction with accompanying drawing and embodiment.
Set forth a lot of details in the following description so that make much of the present invention, still, the present invention can also adopt other to be different from other modes described here and implement, and therefore, the present invention is not limited to the restriction of following disclosed specific embodiment.
Fig. 1 is the block diagram of the device of taking the initiative in offering a hand according to an embodiment of the invention.
As shown in Figure 1, the present invention provides a kind of device 100 of taking the initiative in offering a hand, and comprising: characteristic acquiring unit 102, obtain the visitor's of user website characteristic; Search confirmation unit 104 according to said visitor's characteristic, from the customers that pre-set, inquires the affiliated customers of said client; Service data acquiring unit 106 obtains the method for service data that are pre-assigned to the affiliated customers of said visitor; The unit 108 of taking the initiative in offering a hand according to said method of service data, initiatively is that said visitor provides service.Through this technical scheme, can realize analysis automatically to visitor's characteristic, according to visitor's difference it is divided into different clients, and corresponding service is provided for it.
Visitor's characteristic can be obtained through the website monitoring technique, specifically can comprise user profile characteristic (sex, age etc.), end message characteristic (mobile phone model, operating system etc.), source-information characteristic (affiliated area, source page etc.) and visit behavioural characteristic (visit duration, access times etc.).
In technique scheme, also comprise: customers are provided with unit 110, for each customers that pre-sets are provided with the characteristic data set that comprises one or more characteristics; Said search confirmation unit 104 matees said visitor's the characteristic and the characteristic data set of said each customers, and selects the successful pairing customers of characteristic data set of coupling as the customers under the said visitor.Through this technical scheme, can effectively and exactly distinguish different visitors, it is divided into different clients.Particularly, can adopt Method of Fuzzy Matching to carry out matching operation.
In technique scheme; Said customers are provided with unit 110 also when not having the successful characteristic data set of coupling; With said visitor's characteristic as new characteristic data set; And set up new customers, and be that said new customers distribute corresponding method of service data for said new characteristic data set.Through this technical scheme, can in the process that service is provided for the user, realize automatic learning mechanism, along with increasing of visitor, the setting of customers and respective service mode also can be more reasonable, helps providing more accurately and effectively service.
In technique scheme, said customers are provided with unit 110 also before the quantity that characteristic and said new characteristic data set mate whole clients successfully surpasses predetermined threshold, forbid said new customers as the customers under any visitor.Through this technical scheme, if visitor and other visitors difference is bigger, then there is no need to launch separately to the customers of its setting and serve accordingly, can reduce unnecessary resource consumption.
In technique scheme, also comprise: service assignment unit 112, for each customers that pre-sets distribute the service strategy that comprises one or more method of service data; Said service data acquiring unit 106 obtains the service strategy of distributing to the affiliated customers of said visitor; The said unit 108 of taking the initiative in offering a hand initiatively is that said client provides service by the method for service data in the service strategy of distributing to customers under the said client.Through this technical scheme, realized providing for the visitor simultaneously the function of multiple service.The particular type of service can comprise multiple services such as advertisement pushing, commercial product recommending.
Fig. 2 is the process flow diagram of the method for taking the initiative in offering a hand according to an embodiment of the invention.
As shown in Figure 2, the present invention also provides a kind of method of taking the initiative in offering a hand, and comprising: step 202, obtain the visitor's of user website characteristic; Step 204 according to said visitor's characteristic, from the customers that pre-set, searches out the affiliated customers of said visitor; Step 206 is obtained the method for service data that are pre-assigned to the affiliated customers of said visitor; Step 208 according to said method of service data, initiatively is that said visitor provides service.Through this technical scheme, can realize analysis automatically to visitor's characteristic, according to visitor's difference it is divided into different clients, and corresponding service is provided for it.
Visitor's characteristic can be obtained through the website monitoring technique, specifically can comprise user profile characteristic (sex, age etc.), end message characteristic (mobile phone model, operating system etc.), source-information characteristic (affiliated area, source page etc.) and visit behavioural characteristic (visit duration, access times etc.).
In technique scheme, before said step 204, also comprise: for each customers that pre-sets are provided with the characteristic data set that comprises one or more characteristics; Said step 204 specifically comprises: said visitor's the characteristic and the characteristic data set of said each customers are mated, and select the successful pairing customers of characteristic data set of coupling as the customers under the said client.Through this technical scheme, can effectively and exactly distinguish different visitors, it is divided into different clients.Particularly, can adopt Method of Fuzzy Matching to carry out matching operation.
In technique scheme; Said step 204 also comprises: when not having the successful characteristic data set of coupling; With said visitor's characteristic as new characteristic data set; And set up new customers, and be that said new customers distribute corresponding method of service data for said new feature set.Through this technical scheme, can in the process that service is provided for the user, realize automatic learning mechanism, along with increasing of visitor, the setting of customers and respective service mode also can be more reasonable, helps providing more accurately and effectively service.
In technique scheme, said step 204 also comprises: before the quantity that characteristic and said new characteristic data set mate whole visitors successfully surpasses predetermined threshold, forbid said new customers as the customers under any visitor.Through this technical scheme, if visitor and other visitors difference is bigger, then there is no need to launch separately to the customers of its setting and serve accordingly, can reduce unnecessary resource consumption.
In technique scheme, before said step 206, also comprise: for each customers that pre-sets distribute the service strategy that comprises one or more method of service data; Said step 206 specifically comprises: obtain the service strategy of distributing to the affiliated customers of said visitor; Said step 208 specifically comprises: by the method for service data in the service strategy of distributing to customers under the said visitor, initiatively be that said client provides service.Through this technical scheme, realized providing for the visitor simultaneously the function of multiple service.Through this technical scheme, realized providing for the visitor simultaneously the function of multiple service.The particular type of service can comprise multiple services such as advertisement pushing, commercial product recommending.
Fig. 3 is the overall schematic of the method for taking the initiative in offering a hand according to an embodiment of the invention.
As shown in Figure 3, after online client had been used the method for taking the initiative in offering a hand in the present embodiment, concrete workflow step comprised:
Can grasp visitor's information and behavioural characteristic through the monitor code that is deployed in each page of website and each sub-column; The online customer service system can discern this client's hardware identifier and with the client at the register account number combined ciphering on the website as this client unique Customer ID in system; The visitor's behavior meeting that monitors is through the storage of TCP message send server end; After service end is confirmed client identity, with getting into follow-up intelligent fuzzy coupling client behavior.
Simultaneously, because the complicacy of network visitor and uncertainty, realize that intelligence takes the initiative in offering a hand, at first want Intelligent Recognition visitor behavior, and the visitor is carried out category filter, screen and to set up visitor's feature database earlier.Visitor's feature database is stored all kinds of visitor's behavioural characteristics, mainly is divided into subscriber identity information characteristic, user terminal information characteristic, user sources information characteristics, user access activity characteristic three major types, and is as shown in Figure 4:
Subscriber identity information characteristic 402 mainly is to distinguish the information characteristics of user identity and contact method, such as ID, the pet name, name, sex, age, occupation, mailbox, phone, mobile phone, MSN, QQ, microblogging, hobby etc.
User terminal information characteristic 404 mainly is employed hardware in user capture website and software terminal characteristic, such as mobile phone or PC, operating system, browser, language etc.
User sources information characteristics 406 mainly is that the user is from the information characteristics that where, how to be routed to the website, such as coming source network, area of source, source page, search engine and keyword etc.Come source network to be meant which kind of network insertion the user uses, such as telecommunications, move, Netcom etc.; The area of source is meant that the user is from which country or area; Source page is meant the user is directed into current web from which website; Search engine is meant the user finds current web through which search engine, such as Baidu, Google, must answer Bing, Sina, Sohu etc.; Keyword is meant that the user finds current web through searching for which keyword.Be these characteristics of mark, need foundation and safeguard that base library such as IP address base, source page storehouse, crucial dictionary, visitor's feature database will be called the information completion characteristic of preserving in these storehouses corresponding.
User access activity characteristic 408 mainly is to distinguish the behavioural characteristic of user capture preference, such as browsing pages, browse column, visit duration, visiting frequency, the visit degree of depth etc.Browsing pages reflects directly the user relatively pays close attention to which page; Browse the attention rate of column reflection client to the content column of a certain page; The visit duration is opened certain page to the time of closing for the visitor, and duration is long more, shows that the visitor is high more for the degree of attentiveness of this content; The number of times of the access times reflection user capture page, access times are many more, prove that the commodity of this page are attractive more to the client; The degree of depth of the visit degree of depth reflection user capture website sub level page, the degree of depth is high more, valuable potential customers.
Visitor's characteristic is further segmented according to above four kinds of different classification again and is quantized definition respectively, such as defining as follows (wherein weight shows this characteristic matching factor in the special characteristic classification, is used for follow-up coupling customers operation):
Characteristic in the feature set of the visitor's information that gets access to and behavioural characteristic and each customers is carried out fuzzy matching, used WEB service matching algorithm, if a certain item matees in feature set fully in visitor's characteristic based on fuzzy set; Then the coupling weight of this item is 1; Otherwise, then in identical characteristic classification, seek the immediate similar features fuzzy matching of weight, the coupling weight result of all characteristics in the feature set is averaged; Draw the matching value of client characteristics and customers; Therefrom select result, from these results, find the highest matching value corresponding client crowd, think that promptly client's behavior and this customers mate successfully greater than customers' matching degree threshold value.Single characteristic matching process is as shown in Figure 5: user characteristics A and characteristic TB0, TB1, TB2...... are compared, till the characteristic that finds with its similar coupling of mating fully, and obtain the corresponding weighted value of this characteristic.
Being defined in of customers describes afterwards.
If failure is all mated in client characteristics and all customers; Then automatically this client characteristics is combined into collection and forms new customers; New customers begin to be the not enabled state; In case qualified client's number surpasses predetermined number, to launch automatically, customers will constantly feed back through matching result and obtain revising and expanding.New customers articulate earlier the basic service strategy automatically, and the system alert managerial personnel carry out the service strategy adjustment to new customers then.The method that articulates service strategy after can be elaborated.
Visitor's characteristic generally is the set of a lot of single characteristics, make to take the initiative in offering a hand pointedly, just need use corresponding service strategy to the visitor crowd with the combination of identical or similar features.Can from feature database, extract valuable characteristic composition characteristic collection, the visitor that satisfied fully or major part satisfies a certain feature set can be defined as one type of customers, and these customers can use identical service strategy.Such as can from above-mentioned feature database, selecting the following customers of combination definition (wherein matching value is the matching threshold that need reach when client characteristics is carried out fuzzy matching):
Customers are initially preset, can be self-defined according to website specific client location, and the later stage, system carried out feedback modifiers automatically according to the result of characteristic matching.
Step 312 is for visitor's customers articulate service strategy.
Customers are articulated corresponding service strategy, in case client's behavioural characteristic is accomplished coupling, system starts corresponding service strategy automatically.It is following that service strategy articulates example:
Being defined in afterwards of service strategy specifies.
Step 314 for after the user provides service, is accepted the customer service feedback.
Step 316 judges whether service strategy meets customer priorities, if meet then end operation, if be not inconsistent then get into step 318.
Step 318 selects to revise service strategy.
After customer service finished, system can add up service effectiveness through the mode of survey and satisfaction grading, and the service strategy that the satisfaction statistics is lower than particular value is carried out the manual work adjustment, constantly in use improves service strategy.
Need use the different modes of taking the initiative in offering a hand to different clients, the network method of service mainly contains following several types: advertisement pushing service, commercial product recommending service, initiatively invitation service, activity notification service, purchase by group service.
The advertisement pushing service is primarily aimed at the new visitor in website, and according to visitor's identity characteristic, some personalized product advertisements of active push are cultivated the client gradually and changed potential customers into.
The commercial product recommending service is primarily aimed at the potential customers that website type commodity had concern, through automatic propelling movement commercial product recommending, makes the client higher to the commodity cognition degree, thereby changes this part client into client that purchase intention is arranged.
Initiatively invitation service is primarily aimed at the client of purchase intention, will directly send initiatively conversation invitation.This service will be set up literal, voice or video conversation with the client through the instant messaging technology, and the guiding client places an order and accomplishes purchase.
The activity notification service is primarily aimed at the frequent customer that buying behavior was arranged, and in time issues the network activity notice, and second purchase attracts clients.
The service of purchasing by group is primarily aimed at the customers of common purchase intention, directly invites to add to purchase by group the service session group, by the service of online customer service one-to-many, forms and purchases by group order.
More than five kinds of methods of service can be again according to further segmentation such as merchandise classification, brand, ad content, propelling movement time, frequency of notification, such as defining as follows:
| The service type sign indicating number | The service type explanation | The mode sign indicating number | Mode is explained |
| A | The advertisement pushing service | SA1 | The digital product advertisement pushing |
| A | The advertisement pushing service | SA2 | The household electronic products advertisement pushing |
| ... | ... | ... | |
| B | The commercial product recommending service | SB1 | The model DC of Canon Products Show |
| B | The commercial product recommending service | SB2 | The model TV of Sony Products Show |
| ... | ... | ... | |
| C | The active invitation service | SC1 | The digital product service is invited |
| C | The active invitation service | SC2 | The household appliances service is invited |
| ... | ... | ... | |
| D | The activity notification service | SD1 | 11 preferential activity notifications |
| D | The activity notification service | SD2 | The Mid-autumn Festival preferential activity notification |
| ... | ... | ... | ... |
| E | Purchase by group service | SE1 | Certain brand family product purchases by group service |
| E | Purchase by group service | SE2 | Certain brand computer purchases by group service |
| ... | ... | ... | ... |
Customers' characteristics determined often need multiple method of service just can reach the better service effect, multiple method of service set is called service strategy.Such as from above-mentioned method of service, selecting the following service strategy of combination definition:
| The service strategy sign indicating number | The method of service collection | Policy description |
| FA | SD1||SE1 | 11 preferential activity notifications, certain brand family product purchase by group service |
| FB | SB1||SC1 | The model DC of Canon Products Show, digital product service are invited |
| ... | ... | ... |
In sum, through the present invention, realized a kind of device and a kind of method of taking the initiative in offering a hand of taking the initiative in offering a hand; According in the online customer service system to the analysis of client's behavioural characteristic with judge that implementing intelligence takes the initiative in offering a hand, promptly and accurately catch customer's consumption psychology, make an initiative sally; Effectively guiding can not only be caught potential customers fully, also makes more common visitor be transformed into the potential customers of enterprise; Simultaneously also save the customer service resource greatly, improved efficiency of operation.
The above is merely the preferred embodiments of the present invention, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.All within spirit of the present invention and principle, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. the device of taking the initiative in offering a hand is characterized in that, comprising:
The characteristic acquiring unit obtains the visitor's of user website characteristic;
The search confirmation unit according to said visitor's characteristic, from the customers that pre-set, inquires the affiliated customers of said client;
The service data acquiring unit obtains the method for service data that are pre-assigned to the affiliated customers of said visitor;
The unit of taking the initiative in offering a hand according to said method of service data, initiatively is that said visitor provides service.
2. the device of taking the initiative in offering a hand according to claim 1 is characterized in that, also comprises:
Customers are provided with the unit, for each customers that pre-sets are provided with the characteristic data set that comprises one or more characteristics;
Said search confirmation unit matees said visitor's the characteristic and the characteristic data set of said each customers, and selects the successful pairing customers of characteristic data set of coupling as the customers under the said visitor.
3. the device of taking the initiative in offering a hand according to claim 2; It is characterized in that; Said customers are provided with the unit also when not having the successful characteristic data set of coupling; Said visitor's characteristic as new characteristic data set, and is set up new customers for said new characteristic data set, and be that said new customers distribute corresponding method of service data.
4. the device of taking the initiative in offering a hand according to claim 3; It is characterized in that; Said customers are provided with the unit also before the quantity that characteristic and said new characteristic data set mate whole clients successfully surpasses predetermined threshold, forbid said new customers as the customers under any visitor.
5. according to each described device of taking the initiative in offering a hand in the claim 1 to 4, it is characterized in that, also comprise:
The service assignment unit is for each customers that pre-sets distribute the service strategy that comprises one or more method of service data;
Said service data acquiring unit obtains the service strategy of distributing to the affiliated customers of said visitor;
The said unit of taking the initiative in offering a hand initiatively is that said client provides service by the method for service data in the service strategy of distributing to customers under the said client.
6. the method for taking the initiative in offering a hand is characterized in that, comprising:
Step 202 is obtained the visitor's of user website characteristic;
Step 204 according to said visitor's characteristic, from the customers that pre-set, searches out the affiliated customers of said visitor;
Step 206 is obtained the method for service data that are pre-assigned to the affiliated customers of said visitor;
Step 208 according to said method of service data, initiatively is that said visitor provides service.
7. the method for taking the initiative in offering a hand according to claim 6 is characterized in that, before said step 204, also comprises: for each customers that pre-sets are provided with the characteristic data set that comprises one or more characteristics;
Said step 204 specifically comprises: said visitor's the characteristic and the characteristic data set of said each customers are mated, and select the successful pairing customers of characteristic data set of coupling as the customers under the said client.
8. the method for taking the initiative in offering a hand according to claim 7; It is characterized in that; Said step 204 also comprises: when not having the successful characteristic data set of coupling; Said visitor's characteristic as new characteristic data set, and is set up new customers for said new feature set, and be that said new customers distribute corresponding method of service data.
9. the method for taking the initiative in offering a hand according to claim 8 is characterized in that, said step 204 also comprises:
Before the quantity that characteristic and said new characteristic data set mate whole visitors successfully surpasses predetermined threshold, forbid said new customers as the customers under any visitor.
10. according to each described method of taking the initiative in offering a hand in the claim 6 to 9, it is characterized in that, before said step 206, also comprise: for each customers that pre-sets distribute the service strategy that comprises one or more method of service data;
Said step 206 specifically comprises: obtain the service strategy of distributing to the affiliated customers of said visitor;
Said step 208 specifically comprises: by the method for service data in the service strategy of distributing to customers under the said visitor, initiatively be that said client provides service.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011102845070A CN102339447A (en) | 2011-09-22 | 2011-09-22 | Active service device and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011102845070A CN102339447A (en) | 2011-09-22 | 2011-09-22 | Active service device and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102339447A true CN102339447A (en) | 2012-02-01 |
Family
ID=45515164
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2011102845070A Pending CN102339447A (en) | 2011-09-22 | 2011-09-22 | Active service device and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102339447A (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103516594A (en) * | 2013-09-22 | 2014-01-15 | 金硕澳门离岸商业服务有限公司 | Communication method and device |
| CN103873528A (en) * | 2012-12-17 | 2014-06-18 | 北京百度网讯科技有限公司 | Method and equipment for distributing system resources for user |
| CN104883289A (en) * | 2014-02-28 | 2015-09-02 | 东芝泰格有限公司 | Method For Distributing Information To A Mobile Device Carried By A User |
| CN105245948A (en) * | 2014-06-26 | 2016-01-13 | 北京新媒传信科技有限公司 | Video processing method and video processing device |
| CN105447731A (en) * | 2016-01-07 | 2016-03-30 | 上海携程商务有限公司 | Off-station user in-station dynamic advertisement generating method and system |
| CN105931065A (en) * | 2015-09-22 | 2016-09-07 | 中国银联股份有限公司 | Client base characteristic data processing method and device |
| CN106611344A (en) * | 2015-10-23 | 2017-05-03 | 北京国双科技有限公司 | Method and device for mining potential customers |
| CN106709794A (en) * | 2017-03-31 | 2017-05-24 | 镇江硅谷信息科技有限公司 | E-commerce background data processing system |
| CN106934641A (en) * | 2017-03-17 | 2017-07-07 | 杭州朗和科技有限公司 | For the method and customer service system and readable storage medium storing program for executing of customer service |
| CN107623715A (en) * | 2017-08-08 | 2018-01-23 | 阿里巴巴集团控股有限公司 | A kind of identity information acquisition methods and device |
| CN109062984A (en) * | 2018-06-29 | 2018-12-21 | 深圳市彬讯科技有限公司 | A kind of data analysing method and analysis system based on label |
| CN113469594A (en) * | 2020-03-30 | 2021-10-01 | 北京京东振世信息技术有限公司 | Information processing method, device, system and medium for customer service |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101030283A (en) * | 2006-03-03 | 2007-09-05 | 腾讯科技（深圳）有限公司 | Method and system for issuing advertisement |
| CN101373533A (en) * | 2008-08-29 | 2009-02-25 | 中国移动通信集团福建有限公司 | Real time accurate marketing apparatus based on mobile communication signaling gateway and data processing method |
-
2011
- 2011-09-22 CN CN2011102845070A patent/CN102339447A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101030283A (en) * | 2006-03-03 | 2007-09-05 | 腾讯科技（深圳）有限公司 | Method and system for issuing advertisement |
| CN101373533A (en) * | 2008-08-29 | 2009-02-25 | 中国移动通信集团福建有限公司 | Real time accurate marketing apparatus based on mobile communication signaling gateway and data processing method |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103873528A (en) * | 2012-12-17 | 2014-06-18 | 北京百度网讯科技有限公司 | Method and equipment for distributing system resources for user |
| CN103873528B (en) * | 2012-12-17 | 2019-02-19 | 北京百度网讯科技有限公司 | A kind of method and apparatus for user allocation system resource |
| CN103516594A (en) * | 2013-09-22 | 2014-01-15 | 金硕澳门离岸商业服务有限公司 | Communication method and device |
| CN104883289A (en) * | 2014-02-28 | 2015-09-02 | 东芝泰格有限公司 | Method For Distributing Information To A Mobile Device Carried By A User |
| CN105245948B (en) * | 2014-06-26 | 2019-02-05 | 北京新媒传信科技有限公司 | Method for processing video frequency and device |
| CN105245948A (en) * | 2014-06-26 | 2016-01-13 | 北京新媒传信科技有限公司 | Video processing method and video processing device |
| CN105931065A (en) * | 2015-09-22 | 2016-09-07 | 中国银联股份有限公司 | Client base characteristic data processing method and device |
| CN105931065B (en) * | 2015-09-22 | 2019-12-06 | 中国银联股份有限公司 | Method and device for processing client group characteristic data |
| CN106611344A (en) * | 2015-10-23 | 2017-05-03 | 北京国双科技有限公司 | Method and device for mining potential customers |
| CN105447731A (en) * | 2016-01-07 | 2016-03-30 | 上海携程商务有限公司 | Off-station user in-station dynamic advertisement generating method and system |
| CN106934641A (en) * | 2017-03-17 | 2017-07-07 | 杭州朗和科技有限公司 | For the method and customer service system and readable storage medium storing program for executing of customer service |
| CN106709794A (en) * | 2017-03-31 | 2017-05-24 | 镇江硅谷信息科技有限公司 | E-commerce background data processing system |
| CN107623715A (en) * | 2017-08-08 | 2018-01-23 | 阿里巴巴集团控股有限公司 | A kind of identity information acquisition methods and device |
| CN107623715B (en) * | 2017-08-08 | 2020-06-09 | 阿里巴巴集团控股有限公司 | Identity information acquisition method and device |
| CN109062984A (en) * | 2018-06-29 | 2018-12-21 | 深圳市彬讯科技有限公司 | A kind of data analysing method and analysis system based on label |
| CN113469594A (en) * | 2020-03-30 | 2021-10-01 | 北京京东振世信息技术有限公司 | Information processing method, device, system and medium for customer service |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102339447A (en) | Active service device and method | |
| US8639564B2 (en) | Advertisement campaign system using socially collaborative filtering | |
| RU2451986C2 (en) | Systems, apparatus and methods of creating recommendations | |
| US7788131B2 (en) | Advertising keyword cross-selling | |
| US8442849B2 (en) | Emotional mapping | |
| US9524355B2 (en) | Methods for delivering task-related digital content based on task-oriented user activity | |
| US20110225043A1 (en) | Emotional targeting | |
| US9277022B2 (en) | Guided workflows for establishing a web presence | |
| CN108694239B (en) | Method, system and corresponding medium for providing content to a user | |
| US8888497B2 (en) | Emotional web | |
| EP3561757A1 (en) | Method and system for engaging real-time-human interaction into media presented online | |
| US20110225049A1 (en) | Emoticlips | |
| Smyrnaios | How does news infomediation operate online? The examples of Google and Facebook | |
| US20200234359A1 (en) | Dynamically Personalized Product Recommendation Engine Using Stochastic and Adversarial Bandits | |
| US20150294357A1 (en) | Preferential placement of paid listings in search engine results | |
| Wen-ying et al. | A new framework of a personalized location-based restaurant recommendation system in mobile application | |
| Mu | Application of user research in E-commerce app design | |
| Sandrin | The Struggle between Human-centredness and Intelligent Technologies: a Critical Discussion on the Use of Customer Data in Marketing Practice-A Survey Analysis of the RIR Clusters in Veneto | |
| Lakshmi et al. | Applications of Artificial Intelligence and Internet of Things IoT in Marketing | |
| JP2018200532A (en) | Marketing information analysis device, method, and program | |
| Mahayanti et al. | Developing a New Customer Journey Path: Case Study on a Fixed Broadband ISP Company | |
| CN101431522A (en) | Wired/wireless network based market system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C12 | Rejection of a patent application after its publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20120201 |