CN109190898A - A kind of method and system dynamically distributing sale assistant director - Google Patents
A kind of method and system dynamically distributing sale assistant director Download PDFInfo
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- CN109190898A CN109190898A CN201810864109.8A CN201810864109A CN109190898A CN 109190898 A CN109190898 A CN 109190898A CN 201810864109 A CN201810864109 A CN 201810864109A CN 109190898 A CN109190898 A CN 109190898A
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- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063112—Skill-based matching of a person or a group to a task
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- G06Q10/06311—Scheduling, planning or task assignment for a person or group
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Abstract
This application discloses a kind of method and system for dynamically distributing sale assistant director, the described method includes: generating user tag based on user's primary data, sale assistant director's label is generated based on sale assistant director's primary data, it is that user matches sale assistant director by rule-based algorithm based on user tag and sale assistant director's label.The application can be the reasonable sale assistant director of user's distribution, enable user and sale assistant director is good to match, improve the level of resources utilization and user experience.
Description
Technical field
This application involves technical field of data processing more particularly to a kind of method and system for dynamically distributing sale assistant director.
Background technique
Currently, the user newly obtained, which generally passes through, manually to be divided in CRM system and market automation software
The mode matched or claimed distributes to sale assistant director.It can thus be seen that existing sale assistant director's distribution method, be easy so that with
Family distribution distributes unevenness less than most suitable sale assistant director, or sale assistant director, i.e. user and sale assistant director cannot be good
Match, so that the level of resources utilization is low and user experience is poor.
Therefore, how sale assistant director effectively is distributed for user, it is one that enabling user and sale, assistant director is good matches
Item urgent problem to be solved.
Summary of the invention
In view of this, this application provides a kind of method for dynamically distributing sale assistant director, it can be reasonable for user's distribution
Assistant director is sold, enabling user and sale, assistant director is good matches, and improves the level of resources utilization and user experience.
This application provides a kind of methods for dynamically distributing sale assistant director, which comprises
User tag is generated based on user's primary data；
Sale assistant director's label is generated based on sale assistant director's primary data；
It is that user matches sale assistant director by rule-based algorithm based on the user tag and sale assistant director's label.
Preferably, the method also includes:
User tag is updated by user behavior data.
Preferably, the method also includes:
User tag is updated by user's sales data.
Preferably, the method also includes:
Sale assistant director's label is updated by the working efficiency information and workload information of selling assistant director.
Preferably, the method also includes:
Performance information by selling assistant director updates sale assistant director's label.
A kind of system dynamically distributing sale assistant director, comprising:
First generation module, for generating user tag based on user's primary data；
Second generation module, for generating sale assistant director's label based on sale assistant director's primary data；
Matching module, for being that user matches pin by rule-based algorithm based on the user tag and sale assistant director's label
Sell assistant director.
Preferably, the system also includes:
First update module, for updating user tag by user behavior data.
Preferably, first update module, is also used to:
User tag is updated by user's sales data.
Preferably, the system also includes:
Second update module, working efficiency information and workload information for passing through sale assistant director update sale assistant director
Label.
Preferably, second update module, is also used to:
Performance information by selling assistant director updates sale assistant director's label.
In conclusion this application discloses it is a kind of dynamically distribute sale assistant director method, when need for user dynamic allocation
When selling assistant director, user tag is generated according to the primary data of user first, and pin is generated according to the primary data of sale assistant director
Assistant director's label is sold, is that user matches sale assistant director by rule-based algorithm then according to user tag and sale assistant director's label.This Shen
Please user tag and sale assistant director's label are matched by rule-based algorithm, can be the reasonable sale assistant director of user's distribution,
Enabling user and sale, assistant director is good matches, and improves the level of resources utilization and user experience.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of flow chart of embodiment of the method 1 for dynamically distributing sale assistant director disclosed in the present application；
Fig. 2 is a kind of flow chart of embodiment of the method 2 for dynamically distributing sale assistant director disclosed in the present application；
Fig. 3 is a kind of flow chart of embodiment of the method 3 for dynamically distributing sale assistant director disclosed in the present application；
Fig. 4 is a kind of flow chart of embodiment of the method 4 for dynamically distributing sale assistant director disclosed in the present application；
Fig. 5 is a kind of flow chart of embodiment of the method 5 for dynamically distributing sale assistant director disclosed in the present application；
Fig. 6 is a kind of structural schematic diagram of system embodiment 1 for dynamically distributing sale assistant director disclosed in the present application；
Fig. 7 is a kind of structural schematic diagram of system embodiment 2 for dynamically distributing sale assistant director disclosed in the present application；
Fig. 8 is a kind of structural schematic diagram of system embodiment 3 for dynamically distributing sale assistant director disclosed in the present application；
Fig. 9 is a kind of structural schematic diagram of system embodiment 4 for dynamically distributing sale assistant director disclosed in the present application；
Figure 10 is a kind of structural schematic diagram of system embodiment 5 for dynamically distributing sale assistant director disclosed in the present application.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
As shown in Figure 1, for a kind of flow chart for the embodiment of the method 1 for dynamically distributing sale assistant director disclosed in the present application, institute
The method of stating may comprise steps of:
S101, user tag is generated based on user's primary data；
When needing to dynamically distribute sale assistant director for user, corresponding user is generated according to the primary data of user first and is marked
Label, wherein the user can be to Add User, and be also possible to old user.The primary data of user can be going through for user
History consumption data etc., for example, if the historical consumption data of user is mainly diet consumption cuisines mark can be generated to the user
Label；If the historical consumption data of user is mainly young women, dress ornament label can be generated to the user.
S102, sale assistant director's label is generated based on sale assistant director's primary data；
Meanwhile corresponding sale assistant director's label is generated according to the primary data of sale assistant director.Wherein, the initial of assistant director is sold
Data can be the consumption data etc. of the user of sale assistant director's history service.For example, if sale assistant director's history service
When the consumption data of user is mainly diet consumption, cuisines label can be generated to sale assistant director；If sale assistant director goes through
When the consumption data of the user of history service is mainly young women, dress ornament label can be generated to sale assistant director.
S103, it is based on user tag and sale assistant director's label, is that user matches sale assistant director by rule-based algorithm.
It is right further by rule-based algorithm after sale assistant director's label of the user tag and sale assistant director that generate user
User tag and sale assistant director's label match, and determine that matching degree meets the sale assistant director of preset condition to user.For example,
When user tag is cuisines label, can recommend sale assistant director's label to user is the sale assistant director of cuisines label, is made it possible to
Most reasonably sale assistant director and user contact with for enough distribution.
In conclusion in the above-described embodiments, when needing to dynamically distribute sale assistant director for user, first according to user's
Primary data generates user tag, and generates sale assistant director's label according to the primary data of sale assistant director, is then marked according to user
Label and sale assistant director's label are that user matches sale assistant director by rule-based algorithm.The application is by rule-based algorithm to user tag
It is matched with sale assistant director's label, can be the reasonable sale assistant director of user's distribution, keep user and sale assistant director good
Matching, improve the level of resources utilization and user experience.
As shown in Fig. 2, for a kind of flow chart for the embodiment of the method 2 for dynamically distributing sale assistant director disclosed in the present application, institute
The method of stating may comprise steps of:
S201, user tag is generated based on user's primary data；
When needing to dynamically distribute sale assistant director for user, corresponding user is generated according to the primary data of user first and is marked
Label, wherein the user can be to Add User, and be also possible to old user.The primary data of user can be going through for user
History consumption data etc., for example, if the historical consumption data of user is mainly diet consumption cuisines mark can be generated to the user
Label；If the historical consumption data of user is mainly young women, dress ornament label can be generated to the user.
S202, sale assistant director's label is generated based on sale assistant director's primary data；
Meanwhile corresponding sale assistant director's label is generated according to the primary data of sale assistant director.Wherein, the initial of assistant director is sold
Data can be the consumption data etc. of the user of sale assistant director's history service.For example, if sale assistant director's history service
When the consumption data of user is mainly diet consumption, cuisines label can be generated to sale assistant director；If sale assistant director goes through
When the consumption data of the user of history service is mainly young women, dress ornament label can be generated to sale assistant director.
S203, it is based on user tag and sale assistant director's label, is that user matches sale assistant director by rule-based algorithm；
It is right further by rule-based algorithm after sale assistant director's label of the user tag and sale assistant director that generate user
User tag and sale assistant director's label match, and determine that matching degree meets the sale assistant director of preset condition to user.For example,
When user tag is cuisines label, can recommend sale assistant director's label to user is the sale assistant director of cuisines label, is made it possible to
Most reasonably sale assistant director connects with user for enough distribution；
S204, user tag is updated by user behavior data；
When dynamic is that user distributes sale assistant director, the user tag of user can also be updated in real time, Ke Yitong
The behavioral data for crossing user updates user tag.For example, ought in the past be the user of cuisines label, if recent behavioral data is big
Part is young women, then can be dress ornament label by cuisines tag update by the label of user.
S205, it is based on updated user tag and sale assistant director's label, is again that user matches pin by rule-based algorithm
Sell assistant director.
After updating the user tag of user, according to updated user tag and sale assistant director's label, calculated by rule
Method is that user matches sale assistant director again.
In conclusion the present embodiment on the basis of above-described embodiment 1, be further able to by user behavior data to
The user tag at family is updated, and can pass through rule-based algorithm according to updated user tag and sale assistant director's label
Again sale assistant director is matched for user, made it possible to special to user's matching sale the most suitable according to the demand of user in real time
Member.
As shown in figure 3, for a kind of flow chart for the embodiment of the method 3 for dynamically distributing sale assistant director disclosed in the present application, institute
The method of stating may comprise steps of:
S301, user tag is generated based on user's primary data；
When needing to dynamically distribute sale assistant director for user, corresponding user is generated according to the primary data of user first and is marked
Label, wherein the user can be to Add User, and be also possible to old user.The primary data of user can be going through for user
History consumption data etc., for example, if the historical consumption data of user is mainly diet consumption cuisines mark can be generated to the user
Label；If the historical consumption data of user is mainly young women, dress ornament label can be generated to the user.
S302, sale assistant director's label is generated based on sale assistant director's primary data；
Meanwhile corresponding sale assistant director's label is generated according to the primary data of sale assistant director.Wherein, the initial of assistant director is sold
Data can be the consumption data etc. of the user of sale assistant director's history service.For example, if sale assistant director's history service
When the consumption data of user is mainly diet consumption, cuisines label can be generated to sale assistant director；If sale assistant director goes through
When the consumption data of the user of history service is mainly young women, dress ornament label can be generated to sale assistant director.
S303, it is based on user tag and sale assistant director's label, is that user matches sale assistant director by rule-based algorithm；
It is right further by rule-based algorithm after sale assistant director's label of the user tag and sale assistant director that generate user
User tag and sale assistant director's label match, and determine that matching degree meets the sale assistant director of preset condition to user.For example,
When user tag is cuisines label, can recommend sale assistant director's label to user is the sale assistant director of cuisines label, is made it possible to
Most reasonably sale assistant director connects with user for enough distribution；
S304, user tag is updated by user behavior data；
When dynamic is that user distributes sale assistant director, the user tag of user can also be updated in real time, Ke Yitong
The behavioral data for crossing user updates user tag.For example, ought in the past be the user of cuisines label, if recent behavioral data is big
Part is young women, then can be dress ornament label by cuisines tag update by the label of user.
S305, user tag is updated by user's sales data；
When dynamic is that user distributes sale assistant director, the user of user can also be marked in combination with the sales data of user
Label are updated, by combining user behavior data and user's sales data to be updated the user tag of user, so that more
User tag and user after new is properer.
S306, it is based on updated user tag and sale assistant director's label, is again that user matches pin by rule-based algorithm
Sell assistant director.
After updating the user tag of user, according to updated user tag and sale assistant director's label, calculated by rule
Method is that user matches sale assistant director again.
In conclusion the present embodiment is further able on the basis of above-described embodiment 2 through user behavior data and use
Family sales data is updated the user tag of user, and can be according to updated user tag and sale assistant director's mark
Label are that user matches sale assistant director by rule-based algorithm again, make it possible to match most to user according to the demand of user in real time
Suitably to sell assistant director.
As shown in figure 4, for a kind of flow chart for the embodiment of the method 4 for dynamically distributing sale assistant director disclosed in the present application, institute
The method of stating may comprise steps of:
S401, user tag is generated based on user's primary data；
When needing to dynamically distribute sale assistant director for user, corresponding user is generated according to the primary data of user first and is marked
Label, wherein the user can be to Add User, and be also possible to old user.The primary data of user can be going through for user
History consumption data etc., for example, if the historical consumption data of user is mainly diet consumption cuisines mark can be generated to the user
Label；If the historical consumption data of user is mainly young women, dress ornament label can be generated to the user.
S402, sale assistant director's label is generated based on sale assistant director's primary data；
Meanwhile corresponding sale assistant director's label is generated according to the primary data of sale assistant director.Wherein, the initial of assistant director is sold
Data can be the consumption data etc. of the user of sale assistant director's history service.For example, if sale assistant director's history service
When the consumption data of user is mainly diet consumption, cuisines label can be generated to sale assistant director；If sale assistant director goes through
When the consumption data of the user of history service is mainly young women, dress ornament label can be generated to sale assistant director.
S403, it is based on user tag and sale assistant director's label, is that user matches sale assistant director by rule-based algorithm；
It is right further by rule-based algorithm after sale assistant director's label of the user tag and sale assistant director that generate user
User tag and sale assistant director's label match, and determine that matching degree meets the sale assistant director of preset condition to user.For example,
When user tag is cuisines label, can recommend sale assistant director's label to user is the sale assistant director of cuisines label, is made it possible to
Most reasonably sale assistant director connects with user for enough distribution；
S404, user tag is updated by user behavior data；
When dynamic is that user distributes sale assistant director, the user tag of user can also be updated in real time, Ke Yitong
The behavioral data for crossing user updates user tag.For example, ought in the past be the user of cuisines label, if recent behavioral data is big
Part is young women, then can be dress ornament label by cuisines tag update by the label of user.
S405, user tag is updated by user's sales data；
When dynamic is that user distributes sale assistant director, the user of user can also be marked in combination with the sales data of user
Label are updated, by combining user behavior data and user's sales data to be updated the user tag of user, so that more
User tag and user after new is properer.
S406, the working efficiency information by selling assistant director and workload information update sale assistant director's label；
Meanwhile when dynamic is that user distributes sale assistant director, the working efficiency information of sale assistant director can also be passed through in real time
Sale assistant director's label is updated with workload information.
S407, it is based on updated user tag and updated sale assistant director's label, is again use by rule-based algorithm
Family matching sale assistant director.
When the user tag for updating user and after selling sale assistant director's label of assistant director, according to updated user tag
It is again that user matches sale assistant director by rule-based algorithm with updated sale assistant director's label.
In conclusion the present embodiment on the basis of above-described embodiment 3, is further able to the work effect by selling assistant director
Rate information and workload information update sale assistant director's label, and can be according to updated user tag and updated pin
Assistant director's label is sold, is again that user matches sale assistant director by rule-based algorithm, is made it possible in real time according to the demand of user to use
Assistant director is the most suitably sold in family matching.
As shown in figure 5, for a kind of flow chart for the embodiment of the method 5 for dynamically distributing sale assistant director disclosed in the present application, institute
The method of stating may comprise steps of:
S501, user tag is generated based on user's primary data；
When needing to dynamically distribute sale assistant director for user, corresponding user is generated according to the primary data of user first and is marked
Label, wherein the user can be to Add User, and be also possible to old user.The primary data of user can be going through for user
History consumption data etc., for example, if the historical consumption data of user is mainly diet consumption cuisines mark can be generated to the user
Label；If the historical consumption data of user is mainly young women, dress ornament label can be generated to the user.
S502, sale assistant director's label is generated based on sale assistant director's primary data；
Meanwhile corresponding sale assistant director's label is generated according to the primary data of sale assistant director.Wherein, the initial of assistant director is sold
Data can be the consumption data etc. of the user of sale assistant director's history service.For example, if sale assistant director's history service
When the consumption data of user is mainly diet consumption, cuisines label can be generated to sale assistant director；If sale assistant director goes through
When the consumption data of the user of history service is mainly young women, dress ornament label can be generated to sale assistant director.
S503, it is based on user tag and sale assistant director's label, is that user matches sale assistant director by rule-based algorithm；
It is right further by rule-based algorithm after sale assistant director's label of the user tag and sale assistant director that generate user
User tag and sale assistant director's label match, and determine that matching degree meets the sale assistant director of preset condition to user.For example,
When user tag is cuisines label, can recommend sale assistant director's label to user is the sale assistant director of cuisines label, is made it possible to
Most reasonably sale assistant director connects with user for enough distribution；
S504, user tag is updated by user behavior data；
When dynamic is that user distributes sale assistant director, the user tag of user can also be updated in real time, Ke Yitong
The behavioral data for crossing user updates user tag.For example, ought in the past be the user of cuisines label, if recent behavioral data is big
Part is young women, then can be dress ornament label by cuisines tag update by the label of user.
S505, user tag is updated by user's sales data；
When dynamic is that user distributes sale assistant director, the user of user can also be marked in combination with the sales data of user
Label are updated, by combining user behavior data and user's sales data to be updated the user tag of user, so that more
User tag and user after new is properer.
S506, the working efficiency information by selling assistant director and workload information update sale assistant director's label；
Meanwhile when dynamic is that user distributes sale assistant director, the working efficiency information of sale assistant director can also be passed through in real time
Sale assistant director's label is updated with workload information.
S507, sale assistant director's label is updated by the performance information for selling assistant director；
It, can also be in combination with pin of the performance information to user for selling assistant director when dynamic is that user distributes sale assistant director
It sells assistant director's label to be updated, by combining the working efficiency information for selling assistant director, workload information and to sale assistant director
Performance information sale assistant director sale assistant director's label be updated so that updated sale assistant director label with sell assistant director more
Stick on and cuts.
S508, it is based on updated user tag and updated sale assistant director's label, is again use by rule-based algorithm
Family matching sale assistant director.
When the user tag for updating user and after selling sale assistant director's label of assistant director, according to updated user tag
It is again that user matches sale assistant director by rule-based algorithm with updated sale assistant director's label.
In conclusion the present embodiment on the basis of above-described embodiment 4, is further able to the work effect by selling assistant director
Rate information, workload information and sell assistant director performance information update sale assistant director's label, and can be according to update after
User tag and updated sale assistant director's label, be again by rule-based algorithm user match sale assistant director, make it possible to
Assistant director is the most suitably sold to user's matching according to the demand of user in real time.
As shown in fig. 6, for a kind of structural representation for the system embodiment 1 for dynamically distributing sale assistant director disclosed in the present application
Figure, the system may include:
First generation module 601, for generating user tag based on user's primary data；
When needing to dynamically distribute sale assistant director for user, corresponding user is generated according to the primary data of user first and is marked
Label, wherein the user can be to Add User, and be also possible to old user.The primary data of user can be going through for user
History consumption data etc., for example, if the historical consumption data of user is mainly diet consumption cuisines mark can be generated to the user
Label；If the historical consumption data of user is mainly young women, dress ornament label can be generated to the user.
Second generation module 602, for generating sale assistant director's label based on sale assistant director's primary data；
Meanwhile corresponding sale assistant director's label is generated according to the primary data of sale assistant director.Wherein, the initial of assistant director is sold
Data can be the consumption data etc. of the user of sale assistant director's history service.For example, if sale assistant director's history service
When the consumption data of user is mainly diet consumption, cuisines label can be generated to sale assistant director；If sale assistant director goes through
When the consumption data of the user of history service is mainly young women, dress ornament label can be generated to sale assistant director.
Matching module 603, for being that user matches sale by rule-based algorithm based on user tag and sale assistant director's label
Assistant director.
It is right further by rule-based algorithm after sale assistant director's label of the user tag and sale assistant director that generate user
User tag and sale assistant director's label match, and determine that matching degree meets the sale assistant director of preset condition to user.For example,
When user tag is cuisines label, can recommend sale assistant director's label to user is the sale assistant director of cuisines label, is made it possible to
Most reasonably sale assistant director and user contact with for enough distribution.
In conclusion in the above-described embodiments, when needing to dynamically distribute sale assistant director for user, first according to user's
Primary data generates user tag, and generates sale assistant director's label according to the primary data of sale assistant director, is then marked according to user
Label and sale assistant director's label are that user matches sale assistant director by rule-based algorithm.The application is by rule-based algorithm to user tag
It is matched with sale assistant director's label, can be the reasonable sale assistant director of user's distribution, keep user and sale assistant director good
Matching, improve the level of resources utilization and user experience.
As shown in fig. 7, for a kind of structural representation for the system embodiment 2 for dynamically distributing sale assistant director disclosed in the present application
Figure, the system may include:
First generation module 701, for generating user tag based on user's primary data；
When needing to dynamically distribute sale assistant director for user, corresponding user is generated according to the primary data of user first and is marked
Label, wherein the user can be to Add User, and be also possible to old user.The primary data of user can be going through for user
History consumption data etc., for example, if the historical consumption data of user is mainly diet consumption cuisines mark can be generated to the user
Label；If the historical consumption data of user is mainly young women, dress ornament label can be generated to the user.
Second generation module 702, for generating sale assistant director's label based on sale assistant director's primary data；
Meanwhile corresponding sale assistant director's label is generated according to the primary data of sale assistant director.Wherein, the initial of assistant director is sold
Data can be the consumption data etc. of the user of sale assistant director's history service.For example, if sale assistant director's history service
When the consumption data of user is mainly diet consumption, cuisines label can be generated to sale assistant director；If sale assistant director goes through
When the consumption data of the user of history service is mainly young women, dress ornament label can be generated to sale assistant director.
Matching module 703, for being that user matches sale by rule-based algorithm based on user tag and sale assistant director's label
Assistant director；
It is right further by rule-based algorithm after sale assistant director's label of the user tag and sale assistant director that generate user
User tag and sale assistant director's label match, and determine that matching degree meets the sale assistant director of preset condition to user.For example,
When user tag is cuisines label, can recommend sale assistant director's label to user is the sale assistant director of cuisines label, is made it possible to
Most reasonably sale assistant director connects with user for enough distribution；
First update module 704, for updating user tag by user behavior data；
When dynamic is that user distributes sale assistant director, the user tag of user can also be updated in real time, Ke Yitong
The behavioral data for crossing user updates user tag.For example, ought in the past be the user of cuisines label, if recent behavioral data is big
Part is young women, then can be dress ornament label by cuisines tag update by the label of user.
Matching module 703 is also used to based on updated user tag and sells assistant director's label, again by rule-based algorithm
Sale assistant director is matched for user.
After updating the user tag of user, according to updated user tag and sale assistant director's label, calculated by rule
Method is that user matches sale assistant director again.
In conclusion the present embodiment on the basis of above-described embodiment 1, be further able to by user behavior data to
The user tag at family is updated, and can pass through rule-based algorithm according to updated user tag and sale assistant director's label
Again sale assistant director is matched for user, made it possible to special to user's matching sale the most suitable according to the demand of user in real time
Member.
As shown in figure 8, for a kind of structural representation for the system embodiment 3 for dynamically distributing sale assistant director disclosed in the present application
Figure, the system may include:
First generation module 801, for generating user tag based on user's primary data；
When needing to dynamically distribute sale assistant director for user, corresponding user is generated according to the primary data of user first and is marked
Label, wherein the user can be to Add User, and be also possible to old user.The primary data of user can be going through for user
History consumption data etc., for example, if the historical consumption data of user is mainly diet consumption cuisines mark can be generated to the user
Label；If the historical consumption data of user is mainly young women, dress ornament label can be generated to the user.
Second generation module 802, for generating sale assistant director's label based on sale assistant director's primary data；
Meanwhile corresponding sale assistant director's label is generated according to the primary data of sale assistant director.Wherein, the initial of assistant director is sold
Data can be the consumption data etc. of the user of sale assistant director's history service.For example, if sale assistant director's history service
When the consumption data of user is mainly diet consumption, cuisines label can be generated to sale assistant director；If sale assistant director goes through
When the consumption data of the user of history service is mainly young women, dress ornament label can be generated to sale assistant director.
Matching module 803, for being that user matches sale by rule-based algorithm based on user tag and sale assistant director's label
Assistant director；
It is right further by rule-based algorithm after sale assistant director's label of the user tag and sale assistant director that generate user
User tag and sale assistant director's label match, and determine that matching degree meets the sale assistant director of preset condition to user.For example,
When user tag is cuisines label, can recommend sale assistant director's label to user is the sale assistant director of cuisines label, is made it possible to
Most reasonably sale assistant director connects with user for enough distribution；
First update module 804, for updating user tag by user behavior data；
When dynamic is that user distributes sale assistant director, the user tag of user can also be updated in real time, Ke Yitong
The behavioral data for crossing user updates user tag.For example, ought in the past be the user of cuisines label, if recent behavioral data is big
Part is young women, then can be dress ornament label by cuisines tag update by the label of user.
First update module 804 is also used to update user tag by user's sales data；
When dynamic is that user distributes sale assistant director, the user of user can also be marked in combination with the sales data of user
Label are updated, by combining user behavior data and user's sales data to be updated the user tag of user, so that more
User tag and user after new is properer.
Matching module 803 is also used to based on updated user tag and sells assistant director's label, again by rule-based algorithm
Sale assistant director is matched for user.
After updating the user tag of user, according to updated user tag and sale assistant director's label, calculated by rule
Method is that user matches sale assistant director again.
In conclusion the present embodiment is further able on the basis of above-described embodiment 2 through user behavior data and use
Family sales data is updated the user tag of user, and can be according to updated user tag and sale assistant director's mark
Label are that user matches sale assistant director by rule-based algorithm again, make it possible to match most to user according to the demand of user in real time
Suitably to sell assistant director.
As shown in figure 9, for a kind of structural representation for the system embodiment 4 for dynamically distributing sale assistant director disclosed in the present application
Figure, the system may include:
First generation module 901, for generating user tag based on user's primary data；
When needing to dynamically distribute sale assistant director for user, corresponding user is generated according to the primary data of user first and is marked
Label, wherein the user can be to Add User, and be also possible to old user.The primary data of user can be going through for user
History consumption data etc., for example, if the historical consumption data of user is mainly diet consumption cuisines mark can be generated to the user
Label；If the historical consumption data of user is mainly young women, dress ornament label can be generated to the user.
Second generation module 902, for generating sale assistant director's label based on sale assistant director's primary data；
Meanwhile corresponding sale assistant director's label is generated according to the primary data of sale assistant director.Wherein, the initial of assistant director is sold
Data can be the consumption data etc. of the user of sale assistant director's history service.For example, if sale assistant director's history service
When the consumption data of user is mainly diet consumption, cuisines label can be generated to sale assistant director；If sale assistant director goes through
When the consumption data of the user of history service is mainly young women, dress ornament label can be generated to sale assistant director.
Matching module 903, for being that user matches sale by rule-based algorithm based on user tag and sale assistant director's label
Assistant director；
It is right further by rule-based algorithm after sale assistant director's label of the user tag and sale assistant director that generate user
User tag and sale assistant director's label match, and determine that matching degree meets the sale assistant director of preset condition to user.For example,
When user tag is cuisines label, can recommend sale assistant director's label to user is the sale assistant director of cuisines label, is made it possible to
Most reasonably sale assistant director connects with user for enough distribution；
First update module 904, for updating user tag by user behavior data；
When dynamic is that user distributes sale assistant director, the user tag of user can also be updated in real time, Ke Yitong
The behavioral data for crossing user updates user tag.For example, ought in the past be the user of cuisines label, if recent behavioral data is big
Part is young women, then can be dress ornament label by cuisines tag update by the label of user.
First update module 904 is also used to update user tag by user's sales data；
When dynamic is that user distributes sale assistant director, the user of user can also be marked in combination with the sales data of user
Label are updated, by combining user behavior data and user's sales data to be updated the user tag of user, so that more
User tag and user after new is properer.
Second update module 905, for the working efficiency information and workload information update sale by sale assistant director
Assistant director's label；
Meanwhile when dynamic is that user distributes sale assistant director, the working efficiency information of sale assistant director can also be passed through in real time
Sale assistant director's label is updated with workload information.
Matching module 903 is also used to pass through rule based on updated user tag and updated sale assistant director's label
Algorithm is that user matches sale assistant director again.
When the user tag for updating user and after selling sale assistant director's label of assistant director, according to updated user tag
It is again that user matches sale assistant director by rule-based algorithm with updated sale assistant director's label.
In conclusion the present embodiment on the basis of above-described embodiment 3, is further able to the work effect by selling assistant director
Rate information and workload information update sale assistant director's label, and can be according to updated user tag and updated pin
Assistant director's label is sold, is again that user matches sale assistant director by rule-based algorithm, is made it possible in real time according to the demand of user to use
Assistant director is the most suitably sold in family matching.
It as shown in Figure 10, is a kind of structural representation for the system embodiment 5 for dynamically distributing sale assistant director disclosed in the present application
Figure, the system may include:
First generation module 1001, for generating user tag based on user's primary data；
When needing to dynamically distribute sale assistant director for user, corresponding user is generated according to the primary data of user first and is marked
Label, wherein the user can be to Add User, and be also possible to old user.The primary data of user can be going through for user
History consumption data etc., for example, if the historical consumption data of user is mainly diet consumption cuisines mark can be generated to the user
Label；If the historical consumption data of user is mainly young women, dress ornament label can be generated to the user.
Second generation module 1002, for generating sale assistant director's label based on sale assistant director's primary data；
Meanwhile corresponding sale assistant director's label is generated according to the primary data of sale assistant director.Wherein, the initial of assistant director is sold
Data can be the consumption data etc. of the user of sale assistant director's history service.For example, if sale assistant director's history service
When the consumption data of user is mainly diet consumption, cuisines label can be generated to sale assistant director；If sale assistant director goes through
When the consumption data of the user of history service is mainly young women, dress ornament label can be generated to sale assistant director.
Matching module 1003, for being that user matches pin by rule-based algorithm based on user tag and sale assistant director's label
Sell assistant director；
It is right further by rule-based algorithm after sale assistant director's label of the user tag and sale assistant director that generate user
User tag and sale assistant director's label match, and determine that matching degree meets the sale assistant director of preset condition to user.For example,
When user tag is cuisines label, can recommend sale assistant director's label to user is the sale assistant director of cuisines label, is made it possible to
Most reasonably sale assistant director connects with user for enough distribution；
First update module 1004, for updating user tag by user behavior data；
When dynamic is that user distributes sale assistant director, the user tag of user can also be updated in real time, Ke Yitong
The behavioral data for crossing user updates user tag.For example, ought in the past be the user of cuisines label, if recent behavioral data is big
Part is young women, then can be dress ornament label by cuisines tag update by the label of user.
First update module 1004 is also used to update user tag by user's sales data；
When dynamic is that user distributes sale assistant director, the user of user can also be marked in combination with the sales data of user
Label are updated, by combining user behavior data and user's sales data to be updated the user tag of user, so that more
User tag and user after new is properer.
Second update module 1005, for the working efficiency information and workload information update sale by sale assistant director
Assistant director's label；
Meanwhile when dynamic is that user distributes sale assistant director, the working efficiency information of sale assistant director can also be passed through in real time
Sale assistant director's label is updated with workload information.
Second update module 1005 is also used to update sale assistant director's label by the performance information for selling assistant director；
It, can also be in combination with pin of the performance information to user for selling assistant director when dynamic is that user distributes sale assistant director
It sells assistant director's label to be updated, by combining the working efficiency information for selling assistant director, workload information and to sale assistant director
Performance information sale assistant director sale assistant director's label be updated so that updated sale assistant director label with sell assistant director more
Stick on and cuts.
Matching module 1003 is also used to pass through rule based on updated user tag and updated sale assistant director's label
Then algorithm is that user matches sale assistant director again.
When the user tag for updating user and after selling sale assistant director's label of assistant director, according to updated user tag
It is again that user matches sale assistant director by rule-based algorithm with updated sale assistant director's label.
In conclusion the present embodiment on the basis of above-described embodiment 4, is further able to the work effect by selling assistant director
Rate information, workload information and sell assistant director performance information update sale assistant director's label, and can be according to update after
User tag and updated sale assistant director's label, be again by rule-based algorithm user match sale assistant director, make it possible to
Assistant director is the most suitably sold to user's matching according to the demand of user in real time.
Each embodiment in this specification is described in a progressive manner, the highlights of each of the examples are with other
The difference of embodiment, the same or similar parts in each embodiment may refer to each other.For device disclosed in embodiment
For, since it is corresponded to the methods disclosed in the examples, so being described relatively simple, related place is said referring to method part
It is bright.
Professional further appreciates that, unit described in conjunction with the examples disclosed in the embodiments of the present disclosure
And algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, in order to clearly demonstrate hardware and
The interchangeability of software generally describes each exemplary composition and step according to function in the above description.These
Function is implemented in hardware or software actually, the specific application and design constraint depending on technical solution.Profession
Technical staff can use different methods to achieve the described function each specific application, but this realization is not answered
Think beyond scope of the present application.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can directly be held with hardware, processor
The combination of capable software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only deposit
Reservoir (ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technology
In any other form of storage medium well known in field.
The foregoing description of the disclosed embodiments makes professional and technical personnel in the field can be realized or use the application.
Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein
General Principle can be realized in other embodiments without departing from the spirit or scope of the application.Therefore, the application
It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one
The widest scope of cause.
Claims (10)
1. a kind of method for dynamically distributing sale assistant director, which is characterized in that the described method includes:
User tag is generated based on user's primary data；
Sale assistant director's label is generated based on sale assistant director's primary data；
It is that user matches sale assistant director by rule-based algorithm based on the user tag and sale assistant director's label.
2. the method according to claim 1, wherein further include:
User tag is updated by user behavior data.
3. according to the method described in claim 2, it is characterized by further comprising:
User tag is updated by user's sales data.
4. according to the method described in claim 3, it is characterized by further comprising:
Sale assistant director's label is updated by the working efficiency information and workload information of selling assistant director.
5. according to the method described in claim 4, it is characterized by further comprising:
Performance information by selling assistant director updates sale assistant director's label.
6. a kind of system for dynamically distributing sale assistant director characterized by comprising
First generation module, for generating user tag based on user's primary data；
Second generation module, for generating sale assistant director's label based on sale assistant director's primary data；
Matching module, for being that user matches sale specially by rule-based algorithm based on the user tag and sale assistant director's label
Member.
7. system according to claim 6, which is characterized in that further include:
First update module, for updating user tag by user behavior data.
8. system according to claim 7, which is characterized in that first update module is also used to:
User tag is updated by user's sales data.
9. system according to claim 8, which is characterized in that further include:
Second update module, for the working efficiency information and workload information update sale assistant director's mark by sale assistant director
Label.
10. system according to claim 9, which is characterized in that second update module is also used to:
Performance information by selling assistant director updates sale assistant director's label.
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