CN105912577A - Reminding method and reminding device for data update - Google Patents
Reminding method and reminding device for data update Download PDFInfo
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- CN105912577A CN105912577A CN201610197467.9A CN201610197467A CN105912577A CN 105912577 A CN105912577 A CN 105912577A CN 201610197467 A CN201610197467 A CN 201610197467A CN 105912577 A CN105912577 A CN 105912577A
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Abstract
The invention discloses a reminding method and a reminding device for data update. The method comprises the following steps: determining the current user information of a target user; determining a data weight difference according to the current user information and a preset level-weight corresponding relationship; receiving a query instruction submitted by the target user, wherein the query instruction is used to query the data weight difference; and determining a data update strategy according to the data weight difference and the level-weight corresponding relationship, and feeding the data update strategy back to the target user. According to the method, as long as a user submits a query instruction, an optimal data update strategy can be obtained without the need for any other operation. The operation is simple, the user operation process is simplified, and the efficiency of user operation is improved.
Description
Technical field
The present invention relates to data update method field, the based reminding method updated particularly to a kind of data and dress
Put.
Background technology
Along with nets such as the development of network technology, the Internet community, online game, network instant communication systems
Network application increasingly becomed people's communication exchange, amusement and recreation and work and study important tool and
Channel.Majority of network application all establishes user gradation system and arranges system, the user etc. to network application
Level is managed, and general, the grade of user is the highest, and its enjoyable service is the most.User
In hierarchical management system, the grade of user is become long value to determine by it, the most corresponding each grade different growth
Value, the highest grade, then the one-tenth long value of its correspondence is the highest.
Existing user becomes in the display mode of long value, only shows the one-tenth long value that user is current, or additionally
The one-tenth long value of display distance lower level, as display user's the poorest how much one-tenth long value just can be raised to lower first-class
Level.User becomes long value the highest, and the highest grade, and the enjoyable service of user is the most；And on the other hand also may be used
With illustrate this user as top-tier customer, service provider or businessman can excavate excellent by screening high ranked user
Matter client, is arranged to that long value is actual can realize doulbe-sides' victory.
In existing scheme, service provider is provided with certain user gradation system, and user is it should be understood that
When can be promoted to next stage as early as possible, need user to understand this user gradation system, and then combination itself is current
Become long value, the long value that becomes of distance lower level determines the scheme of quickly upgrading.The method needs user
Oneself determine that upgrading scheme, inefficiency and accuracy are the highest, affect Consumer's Experience.
The information being disclosed in this background section is merely intended to increase the reason of the general background to the present invention
Solve, and be not construed as recognizing or imply in any form that this information structure is for this area general technology
Prior art well known to personnel.
Summary of the invention
It is an object of the invention to provide the based reminding method that a kind of data update, thus overcome existing user certainly
Oneself determines that upgrading scheme causes the shortcoming under efficiency.
For achieving the above object, embodiments provide the based reminding method that a kind of data update, including:
Determining the current user information of targeted customer, current user information includes the active user of targeted customer
Grade and current-user data weight；
Data weighting difference, grade is determined according to current user information and the grade weight corresponding relation preset
Weight corresponding relation includes the corresponding relation between user gradation and user data weight, user data weight
Renewal substrategy；
Receiving the query statement that targeted customer submits to, query statement is used for inquiring about data weighting difference；
According to data weighting difference and grade weight corresponding relation, determine data more New Policy, and by data
Update policy feedback and update strategy execution to active user to targeted customer, instruction targeted customer according to data
Data weighting carries out the operation of data renewal process.
In a kind of possible implementation, also include: pre-set and storage level weight corresponding relation.
In a kind of possible implementation, according to data weighting difference and grade weight corresponding relation, really
Given data more New Policy, including:
Obtain user's historical behavior information of targeted customer；
According to grade weight corresponding relation determine with user's historical behavior information match one or more more
New substrategy；
Update substrategy according to one or more and data weighting difference determines data more New Policy.
In a kind of possible implementation, update substrategy and data weighting difference according to one or more
Determine data more New Policy, including:
Determine every kind of sub-matching degree updated between substrategy and user's historical behavior information；
Choosing i according to data weighting difference from every kind of renewal substrategy and update substrategy, i is for being not less than
The integer of zero, and every kind of i value updating substrategy corresponding is incomplete same；
It is combined into data more New Policy by updating in substrategy, from every kind, the renewal substrategy chosen, and according to
Sub-matching degree corresponding to the renewal substrategy chosen determines total matching degree of data more New Policy；
According to the size order of total matching degree successively to targeted customer's propelling data more New Policy.
In a kind of possible implementation, also include:
The data that reception targeted customer submits to according to data more New Policy are more newly requested, and updating according to data please
Ask and current-user data weight is carried out data renewal process；
The maximum number of user that user data weight after data renewal processes is corresponding more than active user's grade
During according to weight, update active user's grade.
Based on same inventive concept, the embodiment of the present invention also provides for the alarm set that a kind of data update,
Including:
Acquisition module, for determining the current user information of targeted customer, current user information includes target
Active user's grade of user and current-user data weight；
Determine module, for determining data according to current user information and the grade weight corresponding relation preset
Weight difference, grade weight corresponding relation include the corresponding relation between user gradation and user data weight,
The renewal substrategy of user data weight；
Receiver module, for receiving the query statement that targeted customer submits to, query statement is used for inquiring about data
Weight difference；
Processing module, for according to data weighting difference and grade weight corresponding relation, determines that data update
Strategy, and data are updated policy feedback to targeted customer, targeted customer is according to data more New Policy in instruction
Perform current-user data weight is carried out the operation of data renewal process.
In a kind of possible implementation, also include: presetting module, be used for pre-setting and storage etc.
Level weight corresponding relation.
In a kind of possible implementation, processing module includes:
Acquiring unit, for obtaining user's historical behavior information of targeted customer；
Determine unit, for determining and user's historical behavior information match according to grade weight corresponding relation
One or more update substrategys；
According to one or more renewal substrategys and data weighting difference, processing unit, for determining that data are more
New Policy.
In a kind of possible implementation, processing unit includes:
Determine subelement, for determining every kind of son updated between substrategy and user's historical behavior information
Degree of joining；
Choose subelement, update son for choosing i according to data weighting difference from every kind of renewal substrategy
Strategy, i is the integer not less than zero, and every kind of i value updating substrategy corresponding is incomplete same；
Combination subelement, for being combined into data by updating, from every kind, the renewal substrategy chosen in substrategy
More New Policy, and determine the total of data more New Policy according to the sub-matching degree that the renewal substrategy chosen is corresponding
Matching degree；
Push subelement, for the size order according to total matching degree successively to targeted customer's propelling data more
New Policy.
In a kind of possible implementation, receiver module is additionally operable to, and receives targeted customer according to data more
The data that New Policy is submitted to are more newly requested, more newly requested to current-user data weight number according to data
Process according to renewal；
Processing module is additionally operable to, and the user data weight after data renewal processes is more than active user's grade
When corresponding maximum number of user is according to weight, update active user's grade.
The based reminding method of a kind of data renewal that the embodiment of the present invention provides and device, by the data rights method of double differences
Value and grade weight corresponding relation, determine data more New Policy, and then can update to user's propelling data
Strategy, the method has only to user and submits query statement to, it is not necessary to other any operations i.e. can obtain
Good data more New Policy, so that user performs corresponding data and updates operation, the method is simple to operate,
Simplify user operation flow process, thus improve user operation efficiency, it is possible to improve Consumer's Experience.With
Time determine data more New Policy by user's historical behavior information so that data more New Policy and targeted customer
More mating, the data of propelling movement more New Policy is more suitable for targeted customer.
Other features and advantages of the present invention will illustrate in the following description, and, partly from froming the perspective of
Bright book becomes apparent, or understands by implementing the present invention.The purpose of the present invention is excellent with other
Point can come real by structure specifically noted in the description write, claims and accompanying drawing
Now and obtain.
Accompanying drawing explanation
Accompanying drawing is for providing a further understanding of the present invention, and constitutes a part for description, with this
Inventive embodiment is used for explaining the present invention together, is not intended that limitation of the present invention.In the accompanying drawings:
Fig. 1 is the based reminding method flow chart that in the embodiment of the present invention, data update；
Fig. 2 is a kind of method flow diagram determining data more New Policy in the embodiment of the present invention；
Fig. 3 is the another kind of method flow diagram determining data more New Policy in the embodiment of the present invention；
Fig. 4 is the first structure chart of the alarm set that data update in the embodiment of the present invention；
Fig. 5 is the second structure chart of the alarm set that data update in the embodiment of the present invention；
Fig. 6 is the structure chart of processing module in the embodiment of the present invention；
Fig. 7 is the structure chart of processing unit in the embodiment of the present invention.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with this
Accompanying drawing in bright embodiment, is clearly and completely described the technical scheme in the embodiment of the present invention,
Obviously, described embodiment is a part of embodiment of the present invention rather than whole embodiments.Based on
Embodiment in the present invention, those of ordinary skill in the art are obtained under not making creative work premise
The every other embodiment obtained, broadly falls into the scope of protection of the invention.Reference table identical in accompanying drawing
Show the same or analogous element of function.Although the various aspects of embodiment shown in the drawings, but remove
Non-specifically is pointed out, it is not necessary to accompanying drawing drawn to scale.
The most special word " exemplary " means " as example, embodiment or illustrative ".Here as " show
Example " illustrated by any embodiment should not necessarily be construed as preferred or advantageous over other embodiments.
It addition, in order to better illustrate the present invention, detailed description of the invention below gives numerous
Detail.It will be appreciated by those skilled in the art that do not have some detail, the present invention is equally
Implement.In some instances, method well known to those skilled in the art, means, element are not made in detail
Thin description, in order to highlight the purport of the present invention.
Explicitly indicate that unless otherwise other, otherwise in entire disclosure and claims, term " bag
Include " or its conversion as " comprising " or " including " etc. will be understood to comprise stated element or
Ingredient, and do not get rid of other element or other ingredient.
The based reminding method that a kind of data that the embodiment of the present invention provides update, shown in Figure 1, specifically wrap
Include step 101-104:
Step 101: determine the current user information of targeted customer, current user information includes targeted customer's
Active user's grade and current-user data weight.
In the embodiment of the present invention, user data weight and user gradation for each user setup.Such as,
User A is V2 grade at present, and current one-tenth long value is 600, then the active user of the targeted customer obtained
Information includes that V2 grade (i.e. active user's grade) becomes long value (i.e. current-user data weight) with 600.
Step 102: determine the data rights method of double differences according to current user information and the grade weight corresponding relation preset
Value, grade weight corresponding relation includes the corresponding relation between user gradation and user data weight, user
The renewal substrategy of data weighting.
In the embodiment of the present invention, pre-set and storage level weight corresponding relation.This grade weight is corresponding
Relation record has: the corresponding relation between user gradation and user data weight.Concrete, each is used
Family grade is interval corresponding with one section of user data weight, such as, and V1 grade corresponding 1～100 one-tenth long values,
V2 grade corresponding 100～1000 one-tenth long values etc..Meanwhile, grade weight corresponding relation also includes: number of users
According to the renewal substrategy of weight, this renewal substrategy is used for being updated user data weight, and every kind
Update the value added of substrategy correspondence user data weight.Such as, some behavior of user is so that use
Family obtains into long value, as logged in 10 one-tenth long values of increase every day, evaluating commodity 5 one-tenth long values of increase etc.；The most every
Logging in and evaluate commodity day and all calculate a kind of renewal substrategy, the value added of the user data weight of its correspondence is divided
It is not 10 one-tenth long values and 5 one-tenth long values.
Data weighting difference is that maximum number of user corresponding to active user's grade is according to weight and current-user data
Difference between weight.Such as, user A is V2 grade at present, and current one-tenth long value is 600, V2
One-tenth long value interval corresponding to grade is 100～1000, then active user's grade (i.e. V2 grade) is corresponding
Maximum number of user is 1000 one-tenth long values according to weight, and now data weighting difference is 1000-600=400.
Step 103: receiving the query statement that targeted customer submits to, query statement is used for inquiring about the data rights method of double differences
Value.
When targeted customer needs the data weighting difference inquiring about oneself, inquiry can be sent to server and refer to
Order.Concrete, server typically presents current one-tenth long value by APP or webpage to user, when with
When family is clicked on current one-tenth long value icon or mouse slides into this one-tenth long value icon, server is permissible
This operation of user is decoded as query statement.
Step 104: according to data weighting difference and grade weight corresponding relation, determine data more New Policy,
And data being updated policy feedback to targeted customer, instruction targeted customer updates strategy execution pair according to data
Current-user data weight carries out the operation of data renewal process.
In the embodiment of the present invention, grade weight corresponding relation includes renewal of multiple user data weight
Strategy, every kind of value added updating substrategy correspondence user data weight.According to this data weighting difference and
Update the relation between the value added that substrategy is corresponding, i.e. may determine that the one or more chosen updates son
Strategy, thus update, according to this one or more, the data more New Policy that substrategy combination producing is total.Such as,
The data weighting difference of user A is 400 one-tenth long values；In updating substrategy, log in increase by 10 one-tenth every day
Long value, evaluation commodity increase by 5 one-tenth long values；Now, perform log in substrategy 40 times every day or perform
Evaluate commodity substrategy and i.e. can meet this data weighting difference for 80 times, or perform to log in substrategy every day
20 times and perform to evaluate commodity substrategy and can also meet this data weighting difference for 40 times, and then according to
This one or more updates the data more New Policy that substrategy combination producing is total, is as data update strategy
40 set logging in substrategy every day or 80 evaluate the set of commodity substrategys or 20 times
Log in substrategy every day and add the set etc. performing to evaluate commodity substrategy 40 times.
In a kind of possible implementation, the method also includes: receives targeted customer and updates according to data
The data that strategy is submitted to are more newly requested, according to data are more newly requested, current-user data weight carried out data
Renewal processes.The maximum that user data weight after data renewal processes is corresponding more than active user's grade
During user data weight, update active user's grade.
Such as, user have employed and submits 80 data more New Policies evaluating commodity to, then submit to whenever user
After one time commodity are evaluated, i.e. current-user data weight is carried out data renewal, be user data weight
Increase by 5 and become long value；After all having submitted to, user data weight has become 1000 one-tenth long values, this
Time can update active user's grade, V3 rank will be updated to by user gradation.
The embodiment of the present invention provide a kind of data update based reminding method, by data weighting difference and etc.
Level weight corresponding relation, determines data more New Policy, so can to user's propelling data more New Policy,
The method has only to user and submits query statement to, it is not necessary to other any operations i.e. can obtain optimal number
According to more New Policy, so that user performs corresponding data and updates operation, the method is simple to operate, simplifies
User operation flow process, thus improve user operation efficiency, it is possible to improve Consumer's Experience.
Preferably, above-mentioned according to data weighting difference with grade weight corresponding relation, determine one or more
Data more New Policy, shown in Figure 2, specifically include step 201-203:
Step 201, user's historical behavior information of acquisition targeted customer；
Step 202, determine and the one of user's historical behavior information match according to grade weight corresponding relation
Or multiple renewal substrategy；
Step 203, update substrategys and data weighting difference according to one or more and determine that data update plan
Slightly.
In the embodiment of the present invention, determine corresponding data more New Policy according to the historical behavior information of user,
The historical behavior of this user historical behavior information record user, including login behavior, evaluation behavior, commodity
Navigation patterns, commodity purchasing behavior etc..Such as, user A logs in (behavior that i.e. logs in is frequent) everyday, and
Browse the webpage in a large number about commodity I recently, and grade weight corresponding relation comprised renewal substrategy:
Logging in 10 one-tenth long values of increase every day, buying commodity I increases by 200 one-tenth long values；It is as noted previously, as user
Log in behavior the every day of A and browse the behavior of commodity I, step A2 may determine that, two kinds update substrategy
(i.e. log in every day and increase by 10 one-tenth long values, purchase commodity I 200 one-tenth long values of increase) and the use of this user A
Family historical behavior information matches, updates substrategy according to these two kinds and i.e. may determine that data more New Policy.
Concrete, step 203 updates substrategy according to one or more and data weighting difference determines number
According to more New Policy, shown in Figure 3, specifically include step 2031-2034:
Step 2031: determine every kind of sub-matching degree updated between substrategy and user's historical behavior information.
Still, as a example by above-mentioned example, step A2 may determine that, (i.e. every day logs in two kinds of renewal substrategys
Increase by 10 one-tenth long values, buy commodity I 200 one-tenth long values of increase) and user's historical behavior letter of this user A
Breath coupling, and log in every day and be 80% by the sub-matching degree between historical behavior information, buy commodity I
And it is 90% by the sub-matching degree between historical behavior information.
Step 2032: choose i according to data weighting difference from every kind of renewal substrategy and update substrategy,
I is the integer not less than zero, and every kind of i value updating substrategy corresponding is incomplete same.
Such as, the data weighting difference of user A is 400 one-tenth long values, then can choose and log in 40 every days
Update substrategy (i.e. logging in the i updating substrategy corresponding every day is 40), or choose 2 purchase commodity
The renewal substrategy (i that i.e. the renewal substrategy of purchase commodity I is corresponding is 2) of I, or choose 20
Log in every day and update substrategy and 1 renewal substrategy buying commodity I.
Step 2033: be combined into data renewal plan by updating, from every kind, the renewal substrategy chosen in substrategy
Omit, and determine total matching degree of data more New Policy according to the sub-matching degree that the renewal substrategy chosen is corresponding.
As it has been described above, data more New Policy is three kinds of schemes, it is respectively as follows: scheme one, chooses 40 every days
Log in renewal substrategy；Scheme two, choose 2 buy commodity I renewal substrategys；Scheme three is chosen
20 every days log in and update substrategy and 1 renewal substrategy buying commodity I.According to choosing more
The sub-matching degree that newly substrategy is corresponding determines total matching degree of data more New Policy, can be each by choose
Update the meansigma methods of sub-matching degree of substrategy as common matching degree；Then three kinds of data more New Policies are corresponding
Total matching degree is respectively 80%, 90% and (80% × 20+90% × 1) ÷ 21.
Step 2034: according to the size order of total matching degree successively to targeted customer's propelling data more New Policy.
As above, described in example, update to user's propelling data according to the order of scheme two, scheme three and scheme one
Strategy.
The embodiment of the present invention provide a kind of data update based reminding method, by data weighting difference and etc.
Level weight corresponding relation, determines data more New Policy, so can to user's propelling data more New Policy,
The method has only to user and submits query statement to, it is not necessary to other any operations i.e. can obtain optimal number
According to more New Policy, so that user performs corresponding data and updates operation, the method is simple to operate, simplifies
User operation flow process, thus improve user operation efficiency, it is possible to improve Consumer's Experience.Lead to simultaneously
Cross user's historical behavior information and determine data more New Policy so that data more New Policy is with targeted customer more
Coupling, the data of propelling movement more New Policy is more suitable for targeted customer.
Describing the based reminding method flow process that a kind of data update in detail above, the method can also be by corresponding
Device realize, the 26S Proteasome Structure and Function of this device is described in detail below.
The embodiment of the present invention provides the alarm set that a kind of data update, shown in Figure 4, including:
Acquisition module 41, for determining the current user information of targeted customer, current user information includes mesh
Active user's grade of mark user and current-user data weight；
Determine module 42, for determining number according to current user information and the grade weight corresponding relation preset
According to weight difference, grade weight corresponding relation includes the corresponding pass between user gradation and user data weight
System, the renewal substrategy of user data weight；
Receiver module 43, for receiving the query statement that targeted customer submits to, query statement is used for inquiring about number
According to weight difference；
Processing module 44, for according to data weighting difference and grade weight corresponding relation, determines that data are more
New Policy, and data are updated policy feedback to targeted customer, instruction targeted customer updates plan according to data
Slightly perform current-user data weight is carried out the operation of data renewal process.
In a kind of possible implementation, shown in Figure 5, also include: presetting module 45, be used for
Pre-set and storage level weight corresponding relation.
In a kind of possible implementation, shown in Figure 6, processing module 44 includes:
Acquiring unit 441, for obtaining user's historical behavior information of targeted customer；
Determine unit 442, for determining and user's historical behavior information phase according to grade weight corresponding relation
One or more joined update substrategy；
Processing unit 443, for determining data according to one or more renewal substrategys and data weighting difference
More New Policy.
In a kind of possible implementation, shown in Figure 7, processing unit 443 includes:
Determine subelement 4431, for determining that every kind updates between substrategy and user's historical behavior information
Sub-matching degree；
Choose subelement 4432, for choosing i according to data weighting difference from every kind of renewal substrategy
Updating substrategy, i is the integer not less than zero, and every kind of i value updating substrategy corresponding is incomplete same；
Combination subelement 4433, for being combined into updating, from every kind, the renewal substrategy chosen in substrategy
Data more New Policy, and determine data more New Policy according to the sub-matching degree that the renewal substrategy chosen is corresponding
Total matching degree；
Push subelement 4434, for pushing number to targeted customer successively according to the size order of total matching degree
According to more New Policy.
In a kind of possible implementation, receiver module 43 is additionally operable to, and receives targeted customer according to data
The data that more New Policy is submitted to are more newly requested, carry out current-user data weight according to data are more newly requested
Data renewal processes；
Processing module 44 is additionally operable to, and the user data weight after data renewal processes is more than active user etc.
When the maximum number of user of level correspondence is according to weight, update active user's grade.
The based reminding method of a kind of data renewal that the embodiment of the present invention provides and device, by the data rights method of double differences
Value and grade weight corresponding relation, determine data more New Policy, and then can update to user's propelling data
Strategy, the method has only to user and submits query statement to, it is not necessary to other any operations i.e. can obtain
Good data more New Policy, so that user performs corresponding data and updates operation, the method is simple to operate,
Simplify user operation flow process, thus improve user operation efficiency, it is possible to improve Consumer's Experience.With
Time determine data more New Policy by user's historical behavior information so that data more New Policy and targeted customer
More mating, the data of propelling movement more New Policy is more suitable for targeted customer.
Device embodiment described above is only schematically, wherein said illustrates as separating component
Unit can be or may not be physically separate, the parts shown as unit can be or
Person may not be physical location, i.e. may be located at a place, or can also be distributed to multiple network
On unit.Some or all of module therein can be selected according to the actual needs to realize the present embodiment
The purpose of scheme.Those of ordinary skill in the art are not in the case of paying performing creative labour, the most permissible
Understand and implement.
Through the above description of the embodiments, those skilled in the art is it can be understood that arrive each reality
The mode of executing can add the mode of required general hardware platform by software and realize, naturally it is also possible to by firmly
Part.Based on such understanding, the portion that prior art is contributed by technique scheme the most in other words
Dividing and can embody with the form of software product, this computer software product can be stored in computer can
Read in storage medium, such as ROM/RAM, magnetic disc, CD etc., including some instructions with so that one
Computer equipment (can be personal computer, server, or the network equipment etc.) performs each to be implemented
The method described in some part of example or embodiment.
Last it is noted that the foregoing is only the preferred embodiments of the present invention, it is not used to limit
The present invention processed, although being described in detail the present invention with reference to previous embodiment, for this area
For technical staff, the technical scheme described in foregoing embodiments still can be modified by it, or
Person carries out equivalent to wherein portion of techniques feature.All within the spirit and principles in the present invention, made
Any modification, equivalent substitution and improvement etc., should be included within the scope of the present invention.
Claims (10)
1. the based reminding method that data update, it is characterised in that including:
Determine that the current user information of targeted customer, described current user information include described targeted customer's
Active user's grade and current-user data weight；
Data weighting difference is determined according to described current user information and the grade weight corresponding relation preset,
Described grade weight corresponding relation includes the corresponding relation between user gradation and user data weight, user
The renewal substrategy of data weighting；
Receiving the query statement that targeted customer submits to, described query statement is used for inquiring about the described data rights method of double differences
Value；
According to described data weighting difference and described grade weight corresponding relation, determine data more New Policy,
And described data are updated policy feedback extremely described targeted customer, indicate described targeted customer according to described number
According to renewal strategy execution, described current-user data weight is carried out the operation of data renewal process.
Method the most according to claim 1, it is characterised in that also include:
Pre-set and storage level weight corresponding relation.
Method the most according to claim 1, it is characterised in that described according to the described data rights method of double differences
Value and described grade weight corresponding relation, determine data more New Policy, including:
Obtain user's historical behavior information of described targeted customer；
Determine according to grade weight corresponding relation and the one of described user's historical behavior information match
Or multiple renewal substrategy；
Determine that data update plan according to renewal substrategy one or more described and described data weighting difference
Slightly.
Method the most according to claim 3, it is characterised in that described according to described in one or more
Update substrategy and described data weighting difference determines data more New Policy, including:
Determine the sub-matching degree between every kind of described renewal substrategy and described user's historical behavior information；
Choosing i according to described data weighting difference from every kind of renewal substrategy and update substrategy, i is not
Minus integer, and every kind of i value updating substrategy corresponding is incomplete same；
It is combined into data more New Policy by updating in substrategy, from every kind, the renewal substrategy chosen, and according to
Sub-matching degree corresponding to the renewal substrategy chosen determines total matching degree of described data more New Policy；
According to the size order of total matching degree successively to described targeted customer's propelling data more New Policy.
5. according to the arbitrary described method of claim 1-4, it is characterised in that also include:
The data that reception targeted customer submits to according to described data more New Policy are more newly requested, according to described number
According to more newly requested, described current-user data weight is carried out data renewal process；
The maximum number of user that user data weight after data renewal processes is corresponding more than active user's grade
During according to weight, update described active user's grade.
6. the alarm set that data update, it is characterised in that including:
Acquisition module, for determining the current user information of targeted customer, described current user information includes
Active user's grade of described targeted customer and current-user data weight；
Determine module, for determining according to described current user information and the grade weight corresponding relation preset
Data weighting difference, described grade weight corresponding relation includes between user gradation and user data weight
Corresponding relation, the renewal substrategy of user data weight；
Receiver module, for receiving the query statement that targeted customer submits to, described query statement is used for inquiring about
Described data weighting difference；
Processing module, for according to described data weighting difference and described grade weight corresponding relation, determines
Data more New Policy, and described data are updated policy feedback extremely described targeted customer, indicate described target
User updates strategy execution according to described data and described current-user data weight is carried out data renewal process
Operation.
Device the most according to claim 6, it is characterised in that also include:
Presetting module, is used for pre-setting and storage level weight corresponding relation.
Device the most according to claim 6, it is characterised in that described processing module includes:
Acquiring unit, for obtaining user's historical behavior information of described targeted customer；
Determine unit, believe with described user's historical behavior for determining according to grade weight corresponding relation
One or more of manner of breathing coupling update substrategy；
Processing unit, for true according to renewal substrategy one or more described and described data weighting difference
Given data more New Policy.
Device the most according to claim 8, it is characterised in that described processing unit includes:
Determine subelement, be used for determining every kind of described renewal substrategy and described user's historical behavior information it
Between sub-matching degree；
Choose subelement, for choosing i more according to described data weighting difference from every kind of renewal substrategy
New substrategy, i is the integer not less than zero, and every kind of i value updating substrategy corresponding is incomplete same；
Combination subelement, for being combined into data by updating, from every kind, the renewal substrategy chosen in substrategy
More New Policy, and determine described data more New Policy according to the sub-matching degree that the renewal substrategy chosen is corresponding
Total matching degree；
Push subelement, for pushing number to described targeted customer successively according to the size order of total matching degree
According to more New Policy.
10. according to the arbitrary described device of claim 6-9, it is characterised in that
Described receiver module is additionally operable to, and receives the data that targeted customer submits to according to described data more New Policy
More newly requested, according to described data are more newly requested, described current-user data weight is carried out at data renewal
Reason；
Described processing module is additionally operable to, and the user data weight after data renewal processes is more than active user
When maximum number of user corresponding to grade is according to weight, update described active user's grade.
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