CN109358837A - A kind of object order method of adjustment, device, equipment and readable storage medium storing program for executing - Google Patents
A kind of object order method of adjustment, device, equipment and readable storage medium storing program for executing Download PDFInfo
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- CN109358837A CN109358837A CN201811301893.8A CN201811301893A CN109358837A CN 109358837 A CN109358837 A CN 109358837A CN 201811301893 A CN201811301893 A CN 201811301893A CN 109358837 A CN109358837 A CN 109358837A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
- G06F7/76—Arrangements for rearranging, permuting or selecting data according to predetermined rules, independently of the content of the data
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Abstract
This application discloses a kind of object order methods of adjustment, device, equipment and readable storage medium storing program for executing, the application is when determination reaches sequence adjustment opportunity, obtain object panels in every an object current time by memory state, according to every an object current time by memory state, the target object for indicating to be remembered is determined in the object panels, further determine that object panels after the adjustment at current time, the sequence of target object described in object panels keeps immobilizing with before adjustment after adjustment, remaining object in addition to the target object is selected information according to the history before current time, readjust collating sequence.Present application contemplates in object panels object by memory state, keep constant before sequence of the object remembered in object panels and adjustment, and be selected information according to the history before current time, readjust and do not remember the sequence of object.The sortord of object is more optimized in object panels, effectively increases the efficiency of object needed for retrieving.
Description
Technical field
This application involves technical field of information processing, more specifically to a kind of object order method of adjustment, device,
Equipment and readable storage medium storing program for executing.
Background technique
With the rapid development and application of the mobile intelligent terminals such as mobile phone, instant message applications, browser software etc. are all kinds of
The software for needing to carry out content input is increasingly becoming essential software in mobile intelligent terminal.And object panels, it is such as common
Symbol panel, common watch sensibilities plate etc. play more and more important work when user carries out content input by all kinds of softwares
With.
The sortord of object directly affects the efficiency that user carries out content input in object panels.Such as common symbol panel
In, it will usually list user recently using or the symbol that is commonly used, the sortord of these symbols will affect user and search institute
The efficiency of symbol is needed, and then influences the efficiency that user carries out content input.
Summary of the invention
In view of this, being used this application provides a kind of object order method of adjustment, device, equipment and readable storage medium storing program for executing
In the sortord for optimizing object in existing object panels, to improve the efficiency for retrieving required object.
To achieve the goals above, it is proposed that scheme it is as follows:
A kind of object order method of adjustment, comprising:
Determine reach sequence adjustment opportunity when, obtain object panels in every an object current time by memory state;
According to every an object current time by memory state, the mesh for indicating to be remembered is determined in the object panels
Mark object;
Determine object panels after the adjustment at current time, after adjustment the sequence of target object described in object panels keep with
It immobilizes before adjustment, remaining object in addition to the target object is selected information, weight according to the history before current time
New adjustment collating sequence.
Preferably, the process for reaching sequence adjustment opportunity is determined, comprising:
When detecting that the instruction of object panels is opened in request, determines and reach sequence adjustment opportunity;
This method further include:
By object panels output display after the adjustment.
Preferably, the process for reaching sequence adjustment opportunity is determined, comprising:
When reaching the detection moment in current detection period, determines and reach sequence adjustment opportunity;
Object panels after the adjustment, for receiving request before storing the detection moment as next detection cycle
Output is carried out when opening the instruction of object panels to show;
Or,
When selected there are object in detecting the object panels, determine and reach sequence adjustment opportunity;
Object panels after the adjustment, for store as receive next time request open object panels instruction when into
Row output display.
Preferably, it is described obtain object panels in every an object current time by memory state, comprising:
Obtain object panels in every an object current time by memory intensity;
It is described according to every an object current time by memory state, determine to indicate to be remembered in the object panels
Target object, comprising:
According to every an object current time by memory intensity, determine current time is greater than setting intensity by memory intensity
The target object of threshold value.
Preferably, it is described obtain object panels in every an object current time by memory intensity, comprising:
It is selected information according to the history before an object current time every in user's memory regulation and object panels, really
User's current time is determined to the memory intensity of every an object, as every an object by memory intensity.
Preferably, the history quilt according to before an object current time every in user's memory regulation and object panels
Information is chosen, determines user's current time to the memory intensity of every an object, comprising:
According to user's memory regulation, the dual chamber memory models comprising short-term memory room and long-term memory room are established, wherein short
When memory cell in the first memory intensity it is weak according to the first Forgetting coefficient, and be converted into long-term memory according to the first transformation ratio
Second in room remembers intensity, and the second memory intensity in long-term memory room is weak according to the second Forgetting coefficient;
Be selected number according to the history before an object current time every in object panels, and it is selected every time when
It carves, in conjunction with the dual chamber memory models, determines first memory intensity of the current time every an object in short-term memory room, and
The second memory intensity in long-term memory room;
According to the first memory intensity and the second memory intensity, determine that total memory of current time every an object is strong
Degree.
Preferably, object panels after the adjustment at the determining current time, comprising:
Determine sequence of the target object after the adjustment in object panels, and it is suitable in the object panels before adjustment
Sequence immobilizes;
It is selected according to the history before current time to remaining object in the object panels in addition to the target object
Middle information determines reorder sequence of remaining each object after the adjustment in object panels.
Preferably, described remaining object in the object panels in addition to the target object, according to current time it
Preceding history is selected information, determines reorder sequence of remaining each object after the adjustment in object panels, comprising:
To remaining each described object, be selected information according to the history before current time, predict it is each it is described remaining
The selected probability of object;
According to the sequence of selected probability from large to small, determine remaining each described object after the adjustment in object panels
Reorder sequence.
Preferably, described to remaining each described object, it is selected information according to the history before current time, prediction is every
The selected probability of one remaining object, comprising:
To remaining each described object, the history before obtaining current time is selected number and history the last time quilt
Choose the time interval at moment to current time;
It is positively correlated according to selected probability and the selected number, and the function being negatively correlated with the time interval
Relationship determines the selected probability of each remaining object.
Preferably, the object is input method symbol or emoticon.
A kind of object order adjustment device, comprising:
By memory state acquiring unit, for obtaining every a pair in object panels when determination reaches sequence adjustment opportunity
As current time is by memory state;
Target object determination unit, for according to every an object current time by memory state, in the object panels
In determine the target object for indicating to be remembered;
Object panels determination unit after adjustment, object panels after the adjustment for determining current time, object surface after adjustment
The sequence of target object described in plate keeps immobilizing with before adjustment, remaining object in addition to the target object is according to current
History before moment is selected information, readjusts collating sequence.
It is preferably, described that the process for reaching sequence adjustment opportunity is determined by memory state acquiring unit, comprising:
When detecting that the instruction of object panels is opened in request, determines and reach sequence adjustment opportunity;
The device further include:
Display unit is exported, for showing object panels output after the adjustment.
It is preferably, described that the process for reaching sequence adjustment opportunity is determined by memory state acquiring unit, comprising:
When reaching the detection moment in current detection period, determines and reach sequence adjustment opportunity;
Object panels after the adjustment determined in object panels determination unit after the adjustment are used as next detection for storing
Before the detection moment in period, output is carried out when receiving the instruction of request opening object panels and is shown;
Or,
When selected there are object in detecting the object panels, determine and reach sequence adjustment opportunity;
Object panels after the adjustment determined in object panels determination unit after the adjustment connect next time for storing to be used as
Output is carried out when receiving the instruction of request opening object panels to show.
Preferably, it is described by memory state acquiring unit obtain object panels in every an object current time by memory shape
The process of state, comprising:
Obtain object panels in every an object current time by memory intensity;
The target object determination unit includes:
First object object determines subelement, for, by memory intensity, being determined current according to every an object current time
The target object for being greater than setting intensity threshold by memory intensity at moment.
Preferably, described that the strong by memory of every an object current time in object panels is obtained by memory state acquiring unit
The process of degree, comprising:
It is selected information according to the history before an object current time every in user's memory regulation and object panels, really
User's current time is determined to the memory intensity of every an object, as every an object by memory intensity.
Preferably, described to be worked as by memory state acquiring unit according to an object every in user's memory regulation and object panels
History before the preceding moment is selected information, determines user's current time to the process of the memory intensity of every an object, comprising:
According to user's memory regulation, the dual chamber memory models comprising short-term memory room and long-term memory room are established, wherein short
When memory cell in the first memory intensity it is weak according to the first Forgetting coefficient, and be converted into long-term memory according to the first transformation ratio
Second in room remembers intensity, and the second memory intensity in long-term memory room is weak according to the second Forgetting coefficient;
Be selected number according to the history before an object current time every in object panels, and it is selected every time when
It carves, in conjunction with the dual chamber memory models, determines first memory intensity of the current time every an object in short-term memory room, and
The second memory intensity in long-term memory room;
According to the first memory intensity and the second memory intensity, determine that total memory of current time every an object is strong
Degree.
Preferably, object panels determination unit includes: after the adjustment
Target object order determination unit, for determining sequence of the target object after the adjustment in object panels, with
The sequence in the object panels before adjustment immobilizes;
Remaining object-order determination unit, for remaining object in the object panels in addition to the target object,
It is selected information according to the history before current time, determines each remaining object reordering in object panels after the adjustment
Sequentially.
Preferably, remaining described object-order determination unit includes:
Selected probability prediction unit, for being chosen according to the history before current time to remaining each described object
Middle information predicts the selected probability of each remaining object;
Reorder order determination unit, for the sequence according to selected probability from large to small, determines that each described remaining is right
As the sequence that reorders after the adjustment in object panels.
Preferably, the selected probability prediction unit includes:
History is selected information acquisition unit, for obtaining the history before current time to remaining each described object
Selected number and history the last time are selected the time interval at moment to current time;
Selected probability determining unit, for being positively correlated according to selected probability and the selected number, and with institute
The functional relation that time interval is negatively correlated is stated, determines the selected probability of each remaining object.
A kind of object order adjustment equipment, including memory and processor;
The memory, for storing program;
The processor realizes each step of object order method of adjustment as described above for executing described program.
A kind of readable storage medium storing program for executing, is stored thereon with computer program, which is characterized in that the computer program is processed
When device executes, each step of object order method of adjustment as described above is realized.
It can be seen from the above technical scheme that object order method of adjustment provided by the embodiments of the present application, reaches in determination
When to sequence adjustment opportunity, in available object panels every an object current time by memory state, and according to every a pair
As current time is by memory state, the target object for indicating to be remembered in object panels is determined.Further, according to masses
The analysis of user's memory habit, inventor have found in object panels, for the object that user remembers, more habit to note
Location lookup object firmly, and for the object that user does not remember, usually according to from front to back or some sequence fixed is looked into
It looks for a partner in marriage.Therefore the sequence of the target object remembered is kept immobilizing with before adjustment by the application, and is remembered removing
Remaining object outside target object is selected information according to the history before current time, readjusts collating sequence, thus
Object panels after to the adjustment at current time.Compared with the prior art, the application further contemplates every a pair in object panels
Elephant by memory state, for the object that user remembers, keep constant before its sequence in object panels and adjustment, and again
The collating sequence for the object that adjustment user does not remember, keeps the sortord of object in object panels more optimized, effectively increases inspection
The efficiency of Suo Suoxu object.
Further, remaining object that do not remember for user, the application are selected letter with reference to the history of remaining object
Breath is ranked up sequence to it and adjusts, namely considers the history use habit of user, therefore the sequence adjusted of remaining object
Sequence is also more in line with user's use habit, further improves the recall precision of user.
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
The embodiment of application for those of ordinary skill in the art without creative efforts, can also basis
The attached drawing of offer obtains other attached drawings.
Fig. 1 is a kind of object order method of adjustment flow chart disclosed in the embodiment of the present application;
Fig. 2 illustrates the process schematic of conventional sign panel after determining adjustment;
Fig. 3 illustrates user and opens object panels schematic diagram;
Fig. 4 illustrates the memory models schematic diagram based on memory regulation;
Fig. 5 illustrates dual chamber memory models schematic diagram;
Fig. 6 illustrates the time shaft schematic diagram that each subjects history is selected number;
Fig. 7 is a kind of object order adjustment apparatus structure schematic diagram disclosed in the embodiment of the present application;
Fig. 8 is a kind of hardware block diagram of object order adjustment equipment disclosed in the embodiment of 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.
In order to optimize the sortord of object in existing object panels, to improve the efficiency of object needed for user search, this
Case inventor is studied.
In the thinking of initial stage, before inventor is in view of every an object current time in object panels, history
Selected number is more, and the probability for indicating that the object is used by a user is bigger, and sequence of the object in object panels is more leaned on
Before.Meanwhile adjacent time interval selected twice is shorter, the frequency for indicating that the object is used by a user is higher, is used
Probability it is bigger, sequence of the object in object panels is more forward.Based on this, the research approach of inventor's initial stage
Are as follows: it is selected information according to the history before an object current time every in object panels, as history is selected number, every time quilt
The information such as at the time of choosing determine reorder sequence of every an object after the adjustment in object panels, and then right after being adjusted
As panel.The research approach can achieve the purpose of the sortord of object in optimization object panel, improve to a certain extent
The efficiency of object needed for retrieving.
But it after the use habit of object needed for inventor's further investigation user search, is different from conventionally known
Cognition is found when user remembers position of certain object in object panels, is more accustomed to the location lookup the remembered object.
However, not finding the phenomenon in the preliminary research scheme of the either prior art or inventor.Therefore, this crime
Bright people overcome previously to objects all in object panels according to the history of object be selected number and every time be selected when
The technology prejudice for carrying out the collating sequence of regulating object is carved, and on this basis, further by the object in object panels according to being
It is no to be remembered to distinguish by user, it is contemplated that for the object remembered by user, user is more accustomed to the ordinal position remembered looking into
The objective fact looked for a partner in marriage is further improved above-mentioned preliminary research scheme, finally proposes a kind of more preferably solution party
Case.Object order Adjusted Option disclosed in the present application is introduced followed by following embodiments.
Object order Adjusted Option provided by the present application, according to the history of an object every in object panels be selected information with
And every an object by memory state, the sequence of object in object panels is adjusted.Application scheme can be applied to have
There are the terminal device of data-handling capacity, such as mobile phone, plate.Next in conjunction with attached drawing 1, to the application object order adjustment side
Method is introduced, this method comprises:
Step S100, when determination reaches sequence adjustment opportunity, the quilt at every an object current time in object panels is obtained
Memory state.
Specifically, it may include multiple objects in object panels, then can be obtained when determination reaches sequence adjustment opportunity
Every an object current time by memory state in object panels.Here, current time is when reaching sequence adjustment opportunity
Moment.
Wherein, sequence adjustment opportunity can according to need and set.
Step S110, it is determined to indicate in the object panels by memory state according to every an object current time
The target object remembered.
Specifically, the shape remembered at current time by user by memory state for every an object at every an object current time
State, which may include every an object is remembered and every an object was not remembered at current time at current time, then this step
It suddenly can be when reaching sequence adjustment opportunity, according to the state that an object current time every in object panels is remembered by user, really
The object that expression is remembered in object panels is made, and is defined as target object.
Step S120, object panels after the adjustment at current time, target object described in object panels after adjustment are determined
Sequence keeps immobilizing with before adjustment, remaining object in addition to the target object is selected according to the history before current time
Middle information readjusts collating sequence.
Specifically, target object refers to the object remembered by user.Remaining object in object panels, in addition to target object
The object that do not remembered by user as.Whether can then be remembered based on the object in object panels, the mesh that will be remembered by user
The sequence of mark object keeps immobilizing with before adjustment, remaining object that will do not remembered by user, before current time
History is selected information, readjusts collating sequence.Through above-mentioned adjustment, object panels after the adjustment at available current time.
It should be noted that the collating sequence of object and position can be identical concept, the position of object in object panels
It can be indicated by sort order, the 4th be located in object panels in tactic object such as the position of object A.Together
When, the collating sequence of object can also be embodied by relative position, and the collating sequence as B is compared such as the collating sequence of object A
Forward, the position that can also be expressed as object A is compared as the position of B is forward.The sequence that target object is adjusted in this step is kept
It immobilizes with before adjustment, also this means that the position of adjustment target object keeps immobilizing with before adjustment.
It is illustrated so that object panels are conventional sign panel as an example, may refer to shown in Fig. 2, illustrate determining adjustment
The process schematic of conventional sign panel afterwards.Assuming that reaching the object panels before sorting adjustment opportunity as shown in Fig. 2 left figure,
Reach sequence adjustment opportunity when, wherein symbol "." "? " "+" ", " and " [" be the target object remembered by user, then these are accorded with
Number after the adjustment the sequence in object panels keep with adjust before immobilize, and it is right to remaining in addition to these aiming symbols
As being selected information according to the history before current time, readjusting collating sequence, finally conventional sign after determining adjustment
Panel may refer to shown in Fig. 2 right figure.
Object order method of adjustment provided by the embodiments of the present application, it is available when determination reaches sequence adjustment opportunity
In object panels every an object current time by memory state, and according to every an object current time by memory state, really
Make the target object that expression is remembered in object panels.Further, according to the analysis to public users memory habit, this crime
Bright people discovery is in object panels, for the object that user remembers, more habit to the location lookup object remembered, and for
The object that family is not remembered, usually according to from front to back or some fix sequential search object.Therefore the application will be remembered
Target object sequence keep with adjust before immobilize, and by remaining object in addition to the target object remembered according to working as
History before the preceding moment is selected information, collating sequence is readjusted, to obtain object panels after the adjustment at current time.
Compared with the prior art, the application further contemplate every an object in object panels by memory state, user is remembered
Object, keep constant before its sequence in object panels and adjustment, and readjust the sequence for the object that user does not remember
Sequentially, make the sortord of object in object panels more optimized, effectively increase the efficiency of object needed for retrieving.
Further, remaining object that do not remember for user, the application are selected letter with reference to the history of remaining object
Breath is ranked up sequence to it and adjusts, namely considers the history use habit of user, therefore the sequence adjusted of remaining object
Sequence is also more in line with user's use habit, further improves the recall precision of user.
One embodiment of the application describes in above-mentioned steps S100, determines the several of the process for reaching sequence adjustment opportunity
Kind optional embodiment, can specifically include:
The first:
When detecting that the instruction of object panels is opened in request, determines and reach sequence adjustment opportunity.
Specifically, when user needs using symbol in object panels, object panels can first be opened.User can be asked
Ask generated movement or the voice issued when opening object panels to be defined as an instruction, then when detecting the instruction,
It determines and reaches sequence adjustment opportunity.Here, generated movement can be touch terminal device when object panels are opened in request.
It is illustrated by taking the symbol panel in user's touch input method interface as an example, may refer to illustrate shown in Fig. 3
User opens object panels schematic diagram.When detecting that user touches " symbol " key on terminal device touch screen, determination reaches
To sequence adjustment opportunity.
Further, it is also possible to determine when detecting that user issues voice " opening symbol panel " and reach sequence adjustment opportunity.
On this basis, the present embodiment can be when determining that reaching the sequence adjusts opportunity, to the object in object panels
It is ranked up adjustment, is adjusted rear object panels.After being adjusted after object panels, the present embodiment can also will be after adjustment
Object panels output display.
Second:
When reaching the detection moment in current detection period, determines and reach sequence adjustment opportunity.
Specifically, detection cycle and detection moment can be set by the user, and can also use object panels according to user
Habit automatically generates.Then in the detection moment for reaching detection cycle, determines and reach sequence adjustment opportunity.
On this basis, the present embodiment can be when determining that reaching the sequence adjusts opportunity, to the object in object panels
It is ranked up adjustment, is adjusted rear object panels.Due to before the detection moment for reaching next detection cycle, after the adjustment
The collating sequence of object will not change because object panels are again turned in object panels, and the present embodiment can be with
Object panels after storage adjustment, so as to be opened when receiving request before the arrival of the detection moment of next detection cycle
When the instruction of object panels, object panels after adjustment are subjected to output and are shown.
Show for example, it is assumed that t0Moment is the detection moment of detection cycle, then when reaching t0When the moment, determine that reaching sequence adjusts
Whole opportunity.The sequence of object in regulating object panel, after being adjusted rear object panels, by t0Object panels after the adjustment at moment
Storage.Assuming that the detection moment of next detection cycle is t1, then work as t0To t1Request is received in period opens object panels
It, can be by t when instruction0Object panels carry out output and show after the adjustment at moment.
The third:
When selected there are object in detecting the object panels, determine and reach sequence adjustment opportunity.
It specifically, may include multiple objects in object panels, when detecting selected there are object in object panels,
It determines and reaches sequence adjustment opportunity.
On this basis, the present embodiment can be when determining that reaching the sequence adjusts opportunity, to all in object panels
Object is ranked up adjustment, is adjusted rear object panels.It can store object panels after adjusting, thus there is object next time
When use demand, object panels after adjustment are subjected to output and are shown, namely opens object panels receiving request next time
When instruction, object panels after adjustment are subjected to output and are shown.
Show for example, it is assumed that t0When the moment, user has selected an object in object panels, when reaching t0When the moment, determine
Reach sequence adjustment opportunity.The sequence of object in regulating object panel, after being adjusted rear object panels, by t0The adjustment at moment
Object panels store afterwards.Assuming that t0Being received for the first time at the time of object panels instruction is opened in request after moment is t1, then by t0
Object panels t in response after the adjustment at moment1The opening object panels instruction at moment carries out output and shows.
After determination reaches adjustment opportunity, the embodiment of the present application is described in above-mentioned steps S100, is obtained in object panels
Several optional embodiments by memory state at every an object current time, can specifically include:
The first optional embodiment, every an object is strong by memory at current time in available object panels
Degree.Here, degree that every an object is remembered at current time is indicated by memory intensity.Wherein, every an object in object panels
Bigger by memory intensity at current time, the degree remembered is deeper, indicates that user is deeper to the impression of the object;Instead
It, every an object is smaller by memory intensity at current time in object panels, and the degree remembered is more shallow, indicates user couple
The impression of the object is more shallow.
Further, step S110 is determined in the object panels according to every an object current time by memory state
Indicate that the implementation process for the target object remembered is specifically as follows out: according to every an object current time by memory intensity,
Determine the target object for being greater than setting intensity threshold by memory intensity at current time.That is, intensity threshold can be preset,
It is then directed to every an object, when it is when being greater than setting intensity threshold by memory intensity at current time, indicates that the object is remembered,
Then determine that the object is target object.
Second of optional embodiment, being drawn according to classification by memory state by the object in object panels
Point, including " by remembeing " and " not remembered " two classifications, then the embodiment of the present application can determine every an object in object panels
Remembered at current time by user or is not remembered by user at current time.
Further, step S110 is determined in the object panels according to every an object current time by memory state
Indicate that the implementation process for the target object remembered is specifically as follows out: for every an object in object panels, when determining it
By memory state be " by remembeing " classification when, can determine that the object is the target object remembered;And when determining its is remembered
When state is " not remembered " classification, it can determine that the object is not target object.
The embodiment of the present application in the first aforementioned optional embodiment, obtain every an object in object panels it is current when
The process by memory intensity carved is introduced, and can specifically include:
It is selected information according to the history before an object current time every in user's memory regulation and object panels, really
User's current time is determined to the memory intensity of every an object, as every an object by memory intensity.
Specifically, the Memory Process of user is the complex process based on memory regulation, can be by the Memory Process of user point
For immediate memory, short-term memory and long-term memory three phases.Memory models based on memory regulation may refer to shown in Fig. 4.
After user receives extraneous initial memory excitation, immediate memory can be formed in user's brain first, which can be extremely short
It disappears in time, or is converted into short-term memory.Short-term memory can gradually pass into silence, or due to receiving dynamic excitation repeatedly,
Part short-term memory is identical with the speed of dynamic excitation because forgeing speed, and repeats to become short-term memory, while part is in short-term
Memory gradually becomes long-term memory.Storage time of the long-term memory in user's brain is very long, but can also be lost with certain speed
Forget.In view of in the memory of user, immediate memory can disappear in a very short period of time, only account for remembering in short-term in the embodiment of the present application
Recall and long-term memory.
The whole process and memory regulation of user's memory are directly related.A kind of expression of optional memory regulation described herein
Method, i.e. ebbinghaus curve.The calculation formula of the curve is as follows:
M (t)=De-λt
Wherein, D is memory material quantity, for indicating memory excitation;M (t) is the memory intensity after time t;λ is
Forgetting coefficient, for indicating the forgetting speed of user.
It can be based on the selected letter of history before every an object current time in user's memory regulation and object panels
Breath determines user's current time to the memory intensity of every an object namely every an object by memory intensity.Here, every a pair
It may include that history of every an object before current time is selected number as the history before current time is selected information,
And at the time of being selected every time.
It is selected according to the history before an object current time every in user's memory regulation and object panels in this step
Middle information determines that user's current time may include numerous embodiments to the process of the memory intensity of every an object, gives here
Go out one of optional embodiment, can specifically include:
S1, according to user's memory regulation, establish include short-term memory room and long-term memory room dual chamber memory models,
In, the first memory intensity in short-term memory room is weak according to the first Forgetting coefficient, and is converted into length according to the first transformation ratio
When memory cell in the second memory intensity, the second memory intensity in long-term memory room is weak according to the second Forgetting coefficient.
Specifically, dual chamber memory models can be established according to user's memory regulation, which includes remembering in short-term
Recall room and long-term memory room.Wherein, the memory intensity in short-term memory room can be defined as the first memory intensity, long-term memory room
In memory intensity can be defined as the second memory intensity.
Above-mentioned dual chamber memory models may refer to shown in Fig. 5.It is aforementioned it has been described that user memory in short-term memory can
It to be to be converted by initial excitation through immediate memory, can also be after receiving dynamic excitation repeatedly, the note in short-term that repetition becomes
Recall, memory excitation can be referred to as in Fig. 5, and can be indicated with symbol D.In order to more easily describe dual chamber memory mould
Type can start input stimulus, until the first memory intensity symbol M after the t time, in short-term memory room1(t) it indicates, it is long
When memory cell in second memory intensity symbol M2(t) it indicates.Then over time, the first memory in short-term memory room is strong
Degree will be according to the first transformation ratio λ12The second memory intensity being converted into long-term memory room;Meanwhile in short-term memory room
One memory intensity is according to the first Forgetting coefficient λ1Weak, weak speed is λ1M1(t);The second memory intensity in long-term memory room
According to the second Forgetting coefficient λ2Weak, weak speed is λ2M2(t)。
Then the first memory intensity M1(t) and second remembers intensity M2(t) it can be indicated with following formula.
Wherein,The pace of change of short-term memory intensity is represented,Represent the variation of long-term memory intensity
Speed, and as t=0, M1(t)=D, M2(t)=0.
Above-mentioned formula is solved, available one optional universal model solution, then the formula of the universal model solution can be with
It is as follows:
Wherein,δ1And δ2It is constant, and its value can be empirically determined.
S2, number is selected according to the history before an object current time every in object panels, and be selected every time
Moment determines first memory intensity of the current time every an object in short-term memory room in conjunction with the dual chamber memory models, and
The second memory intensity in long-term memory room.
Specifically, it can be based on dual chamber memory models in this step, and combine every an object current time in object panels
History before is selected number, and it is selected every time at the time of, determine current time every an object in short-term memory room
First memory intensity, and the second memory intensity in long-term memory room.
Certain an object present in object panels is defined, the history before current time is one section nearest during selected
It is continuously i times in the number that same ordinal position is selected.
In order to be more clearly understood that, i times defined above is explained followed by the form of table.Assuming that object
Panel is symbol panel, and during history of certain symbol before current time in symbol panel is selected, nearest 9 times selected
Ordinal position and selected moment when middle is as shown in the table, wherein Γ1To Γ9At the time of relationship be from front to back, Ye Ji
Γ1Moment is to Γ9In moment, Γ9Moment be apart from current time it is nearest at the time of, Γ1Moment is farthest apart from current time
Moment.Apart from current time recent selected Γ9Moment, the symbol are in the 4th sequential bits in symbol panel
It sets, then from Γ9The number continuously chosen when four ordinal position that the Look-ahead symbol is in symbol panel, namely under
The 6th time to the 9th time in table, totally 4 times.Although should be noted that when the 1st time to the 3rd time selected, which is also at
The 4th ordinal position in symbol panel, but since in the 4th and selected the 5th, which is in symbol panel
Second ordinal position, therefore do not meet " nearest one section is continuously selected in same ordinal position ".Based on this, for the symbol
Number, the nearest one section of number being continuously selected in same ordinal position during selected of the history before current time
I is 4 times, i.e., above-mentioned 6th time to the 9th time selected total degree.
Selected number | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
The selected moment | Γ1 | Γ2 | Γ3 | Γ4 | Γ5 | Γ6 | Γ7 | Γ8 | Γ9 |
Ordinal position | Four | Four | Four | Two | Two | Four | Four | Four | Four |
Next, can refer to Fig. 6, in this step determine current time every an object in short-term memory room first
Remember intensity, and the process of the second memory intensity in long-term memory room is illustrated.
History quilt before current time t, for certain an object present in object panels, before current time
Nearest one section is continuously i times in the number that same ordinal position is selected during choosing.Object is selected suitable each time
Primary memory excitation is generated to object in user.And since 0 moment, this i times selected time is τ respectively1、τ2、τ3、…、
τi(i >=1), then in current time t (t > τi) when, the first memory intensity M of every an object1(t) and second remembers intensity M2(t)
Formula can be indicated with following formula.
Wherein, M'1(t) indicate that object is selected the generated first surplus for remembering intensity each time before i-th
Summation, xth therein (x value range is [1, i-1]) it is secondary it is selected caused by the surplus of the first memory intensity be the
X selected generated first memory intensity is selected the surplus at moment to (x+1)th time;Expression pair
As i-th it is selected caused by the first surplus for remembering intensity to current time t;M'2(t) object before expression i-th
The summation of the surplus of second memory intensity caused by being selected each time, xth therein (x value range is [1, i-1])
The surplus of secondary selected generated second memory intensity is the selected generated second memory intensity of x-th to (x+1)th
The surplus at secondary selected moment;Indicate object i-th selected generated second
Remember the surplus of intensity to current time t.
Above-mentioned M'1(t) and M'2(t) calculation formula can be such that
Therefore, number is selected according to the history before an object current time every in object panels in this step, and every
At the time of secondary selected, in conjunction with the dual chamber memory models, determining M1(t) and M2(t) calculation formula can be such that
Wherein,δ1And δ2It is constant.
S3, intensity is remembered according to the first memory intensity and described second, determines total note of current time every an object
Recall intensity.
Specifically, the second memory intensity according to the first memory intensity in short-term memory room and in long-term memory room, can
To determine total memory intensity of current time every an object.
A kind of formula of the total memory intensity of optional calculating can be such that
When known to current time t, above-mentioned total memory intensity M (t) can be indicated with M.
Another embodiment of the application determines the process of object panels after the adjustment at current time to above-mentioned steps S120
It is introduced, the specific embodiment of the process may include:
S1, sequence of the target object after the adjustment in object panels is determined, in the object panels before adjustment
Sequence immobilize.
Specifically, target object indicates that the object remembered by user, the then target object remembered to user can keep it
Sequence in object panels is constant, namely determines its sequence in object panels after the adjustment, with the object panels before adjustment
In sequence immobilize.
S2, to remaining object in the object panels in addition to the target object, according to the history before current time
Selected information determines reorder sequence of remaining each object after the adjustment in object panels.
Specifically, remaining object in addition to target object refers to the object that do not remembered by user, then does not remember to user
Remaining object can be selected information according to the history before current time, the collating sequence where adjusting it in object panels,
Namely to remaining object, it can be selected information according to the history before current time, determine that remaining each object is right after the adjustment
As the sequence that reorders in panel.
Under a kind of optional embodiment, the mistake of reorder sequence of remaining each object after the adjustment in object panels is determined
Journey may include:
A1, to remaining each described object, be selected information according to the history before current time, predict it is each it is described its
The selected probability of remaining object.
Specifically, the selected information of the history before current time exists with the selected probability of remaining each object is associated with
Relationship, then this step can be selected information according to the history before current time to remaining each object, predict it is each remaining
The selected probability of object.
A2, the sequence according to selected probability from large to small determine each remaining object object surface after the adjustment
The sequence that reorders in plate.
Specifically, selected probability can be used to indicate a possibility that remaining each object is chosen by user, it is possible to understand that
, for remaining each object, selected probability is bigger, indicates that a possibility that remaining object is chosen by user is bigger, then
The position of its object panels after the adjustment can be more forward;On the contrary, selected probability is smaller, indicate remaining object by user
A possibility that choosing is smaller, then the position of its object panels after the adjustment can be more rearward.That is, for remaining each object, it can
To sort first, in accordance with the sequence of selected probability from large to small, and then determine that remaining corresponding object of each selected probability is being adjusted
The sequence that reorders after whole in object panels.
Another embodiment of the application describes above-mentioned A1, to remaining each described object, before current time
History be selected information, predict the optional embodiment of the selected probability of each remaining object, can specifically include:
B1, the selected number of history and history the last time to remaining each described object, before obtaining current time
The time interval at selected moment to current time.
Specifically, it may include that history is selected number and history the last time quilt that the history in aforementioned A1, which is selected information,
Choose the time interval at moment to current time.Then history be selected number and history the last time be selected the moment to it is current when
The time interval at quarter is related with the selected probability of the object in object panels, therefore this step needs to obtain that each remaining is right
As the history before current time is selected the time interval of number and history the last time at selected moment to current time.
B2, it is positively correlated according to selected probability and the selected number, and be negatively correlated with the time interval
Functional relation determines the selected probability of each remaining object.
Specifically, it is to be understood that be directed to remaining each object, the selected number of history is more, is selected probability
It is bigger;Meanwhile the time interval at history the last time at selected moment to current time is shorter, and it is bigger to be selected probability.Base
In this, remaining each object can be positively correlated, and with time interval at negative according to selected probability and selected number
The functional relation of pass determines the selected probability of remaining each object.
Here a kind of optional calculation formula is given, as follows:
Wherein, R indicates that the selected probability of remaining each object, C are constant, value, m can indicate every according to actual needs
The history of one remaining object is selected number, and Δ t indicates the selected time interval of remaining each object.
Show for example, remaining object determined in conventional sign panel is symbol when object panels are conventional sign panel
Number "!", it is 19 times that history, which is selected number, and the time interval that history the last time is selected moment to current time is 0.5
It, constant C=1, then its selected probability R is 19/0.5=38.
It should be noted that the object in object panels can be input method symbol, then in all embodiments of the application
The object panels can be conventional sign panel;In addition, the object in object panels can also be emoticon, then the object surface
Plate can be common watch sensibilities plate.
Object order provided by the embodiments of the present application adjustment device is described below, object order tune described below
Engagement positions can correspond to each other reference with above-described object order method of adjustment.
Referring to Fig. 7, Fig. 7 is a kind of object order adjustment apparatus structure schematic diagram disclosed in the embodiment of the present application.
As shown in fig. 7, the apparatus may include:
By memory state acquiring unit 11, for obtaining each in object panels when determination reaches sequence adjustment opportunity
Object current time by memory state;
Target object determination unit 12, for according to every an object current time by memory state, in the object surface
The target object for indicating to be remembered is determined in plate;
Object panels determination unit 13 after adjustment, object panels after the adjustment for determining current time, object after adjustment
The sequence of target object described in panel keep with adjust before immobilize, remaining object in addition to the target object is according to working as
History before the preceding moment is selected information, readjusts collating sequence.
Optionally, the embodiment of the present application illustrates above-mentioned determined by memory state acquiring unit and reaches sequence adjustment opportunity
Several optional embodiments of process are as follows respectively:
The first, determines that the process for reaching sequence adjustment opportunity may include: by memory state acquiring unit
When detecting that the instruction of object panels is opened in request, determines and reach sequence adjustment opportunity.Based on this application's
Object order adjusts device
Display unit is exported, for showing object panels output after the adjustment.
Second, determine that the process for reaching sequence adjustment opportunity may include: by memory state acquiring unit
When reaching the detection moment in current detection period, determines and reach sequence adjustment opportunity.Based on this, after above-mentioned adjustment
In object panels determination unit determine adjustment after object panels, for store as next detection cycle detection moment it
Before, output, which is carried out, when receiving the instruction of request opening object panels shows.
The third, determines that the process for reaching sequence adjustment opportunity may include: by memory state acquiring unit
When selected there are object in detecting the object panels, determine and reach sequence adjustment opportunity.Based on this, on
Object panels after the adjustment determined in object panels determination unit after adjustment are stated, are beaten for storing as receiving request next time
Output is carried out when opening the instruction of object panels to show.
Optionally, the embodiment of the present application illustrates above-mentioned by every an object in memory state acquiring unit acquisition object panels
Several optional embodiments of the process by memory state at current time are as follows respectively:
The first: by memory state acquiring unit obtain every an object current time in object panels by memory state
Process may include:
Obtain object panels in every an object current time by memory intensity.Based on this, above-mentioned target object determines single
Member may include:
First object object determines subelement, for, by memory intensity, being determined current according to every an object current time
The target object for being greater than setting intensity threshold by memory intensity at moment.
Second: by memory state acquiring unit obtain every an object current time in object panels by memory state
Process may include:
By being divided by memory state according to classification for the object in object panels, including " by remembeing " and " do not remembered
Firmly " two classifications, then the embodiment of the present application can determine in object panels every an object remembered by user at current time or
Do not remembered by user at current time.Based on this, above-mentioned target object determination unit may include:
Second target object determines subelement, for for every an object in object panels, when determining it by memory shape
When state is " by remembeing " classification, it can determine that the object is the target object remembered.
Further alternative, another embodiment of the application obtains object panels by memory state acquiring unit to above-mentioned
In the process by memory intensity at every an object current time be introduced, specific implementation process may include:
It is selected information according to the history before an object current time every in user's memory regulation and object panels, really
User's current time is determined to the memory intensity of every an object, as every an object by memory intensity.
Optionally, above-described embodiment is by memory state acquiring unit according to each in user's memory regulation and object panels
History before object current time is selected information, determine user's current time to the process of the memory intensity of every an object,
May include:
According to user's memory regulation, the dual chamber memory models comprising short-term memory room and long-term memory room are established, wherein short
When memory cell in the first memory intensity it is weak according to the first Forgetting coefficient, and be converted into long-term memory according to the first transformation ratio
Second in room remembers intensity, and the second memory intensity in long-term memory room is weak according to the second Forgetting coefficient;
Be selected number according to the history before an object current time every in object panels, and it is selected every time when
It carves, in conjunction with the dual chamber memory models, determines first memory intensity of the current time every an object in short-term memory room, and
The second memory intensity in long-term memory room;
According to the first memory intensity and the second memory intensity, determine that total memory of current time every an object is strong
Degree.
Optionally, object panels determination unit after above-mentioned adjustment is introduced in another embodiment of the application, specifically
May include:
Target object order determination unit, for determining sequence of the target object after the adjustment in object panels, with
The sequence in the object panels before adjustment immobilizes;
Remaining object-order determination unit, for remaining object in the object panels in addition to the target object,
It is selected information according to the history before current time, determines each remaining object reordering in object panels after the adjustment
Sequentially.
Further alternative, remaining object-order determination unit may include: in above-described embodiment
Selected probability prediction unit, for being chosen according to the history before current time to remaining each described object
Middle information predicts the selected probability of each remaining object;
Reorder order determination unit, for the sequence according to selected probability from large to small, determines that each described remaining is right
As the sequence that reorders after the adjustment in object panels.
Optionally, above-mentioned selected probability prediction unit is introduced in another embodiment of the application, specifically can be with
Include:
History is selected information acquisition unit, for obtaining the history before current time to remaining each described object
Selected number and history the last time are selected the time interval at moment to current time;
Selected probability determining unit, for being positively correlated according to selected probability and the selected number, and with institute
The functional relation that time interval is negatively correlated is stated, determines the selected probability of each remaining object.
Object order provided by the embodiments of the present application adjustment device can be applied to object order adjustment equipment, as PC terminal,
Cloud platform, server and server cluster etc..Optionally, Fig. 8 shows the hardware block diagram of object order adjustment equipment, ginseng
According to Fig. 8, the hardware configuration of object order adjustment equipment may include: at least one processor 1, at least one communication interface 2, until
A few memory 3 and at least one communication bus 4;
In the embodiment of the present application, processor 1, communication interface 2, memory 3, communication bus 4 quantity be at least one,
And processor 1, communication interface 2, memory 3 complete mutual communication by communication bus 4;
Processor 1 may be a central processor CPU or specific integrated circuit ASIC
(Application Specific Integrated Circuit), or be arranged to implement of the invention real
Apply one or more integrated circuits etc. of example;
Memory 3 may include high speed RAM memory, it is also possible to further include nonvolatile memory (non-volatile
Memory) etc., a for example, at least magnetic disk storage;
Wherein, memory is stored with program, the program that processor can call memory to store, and described program is used for:
Determine reach sequence adjustment opportunity when, obtain object panels in every an object current time by memory state;
According to every an object current time by memory state, the mesh for indicating to be remembered is determined in the object panels
Mark object;
Determine object panels after the adjustment at current time, after adjustment the sequence of target object described in object panels keep with
It immobilizes before adjustment, remaining object in addition to the target object is selected information, weight according to the history before current time
New adjustment collating sequence.
Optionally, the refinement function of described program and extension function can refer to above description.
The embodiment of the present application also provides a kind of readable storage medium storing program for executing, which can be stored with and hold suitable for processor
Capable program, described program are used for:
Determine reach sequence adjustment opportunity when, obtain object panels in every an object current time by memory state;
According to every an object current time by memory state, the mesh for indicating to be remembered is determined in the object panels
Mark object;
Determine object panels after the adjustment at current time, after adjustment the sequence of target object described in object panels keep with
It immobilizes before adjustment, remaining object in addition to the target object is selected information, weight according to the history before current time
New adjustment collating sequence.
Optionally, the refinement function of described program and extension function can refer to above description.
Finally, it is to be noted that, herein, relational terms such as first and second and the like be used merely to by
One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation
Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning
Covering non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that
A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or
The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged
Except there is also other identical elements in the process, method, article or apparatus that includes the element.
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.
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 (21)
1. a kind of object order method of adjustment characterized by comprising
Determine reach sequence adjustment opportunity when, obtain object panels in every an object current time by memory state;
According to every an object current time by memory state, the target pair for indicating to be remembered is determined in the object panels
As;
Determine object panels after the adjustment at current time, the sequence of target object described in object panels is kept and adjustment after adjustment
Before immobilize, remaining object in addition to the target object according to before current time history be selected information, adjust again
Whole collating sequence.
2. the method according to claim 1, wherein determining the process for reaching sequence adjustment opportunity, comprising:
When detecting that the instruction of object panels is opened in request, determines and reach sequence adjustment opportunity;
This method further include:
By object panels output display after the adjustment.
3. the method according to claim 1, wherein determining the process for reaching sequence adjustment opportunity, comprising:
When reaching the detection moment in current detection period, determines and reach sequence adjustment opportunity;
Object panels after the adjustment are opened for before storing the detection moment as next detection cycle, receiving request
Output is carried out when the instruction of object panels to show;
Or,
When selected there are object in detecting the object panels, determine and reach sequence adjustment opportunity;
Object panels after the adjustment carry out defeated when for storing as the instruction for receiving request opening object panels next time
It shows out.
4. the method according to claim 1, wherein described obtain every an object current time in object panels
By memory state, comprising:
Obtain object panels in every an object current time by memory intensity;
It is described according to every an object current time by memory state, the mesh for indicating to be remembered is determined in the object panels
Mark object, comprising:
According to every an object current time by memory intensity, determine current time is greater than setting intensity threshold by memory intensity
Target object.
5. according to the method described in claim 4, it is characterized in that, described obtain every an object current time in object panels
By memory intensity, comprising:
It is selected information according to the history before an object current time every in user's memory regulation and object panels, determines and uses
Family current time to the memory intensity of every an object, as every an object by memory intensity.
6. according to the method described in claim 5, it is characterized in that, described according to every in user's memory regulation and object panels
History before an object current time is selected information, determines user's current time to the memory intensity of every an object, comprising:
According to user's memory regulation, the dual chamber memory models comprising short-term memory room and long-term memory room are established, wherein remember in short-term
The the first memory intensity recalled in room is weak according to the first Forgetting coefficient, and is converted into long-term memory room according to the first transformation ratio
The second memory intensity, the second memory intensity in long-term memory room is weak according to the second Forgetting coefficient;
At the time of being selected number according to the history before an object current time every in object panels, and be selected every time, knot
The dual chamber memory models are closed, determine first memory intensity of the current time every an object in short-term memory room, and when long
The second memory intensity in memory cell;
According to the first memory intensity and the second memory intensity, total memory intensity of current time every an object is determined.
7. the method according to claim 1, wherein object panels after the adjustment at the determining current time, packet
It includes:
Determine sequence of the target object after the adjustment in object panels, it is solid with the sequence in the object panels before adjustment
It is fixed constant;
To remaining object in the object panels in addition to the target object, according to the selected letter of history before current time
Breath determines reorder sequence of remaining each object after the adjustment in object panels.
8. the method according to the description of claim 7 is characterized in that it is described in the object panels in addition to the target object
Remaining object, be selected information according to the history before current time, determine each remaining object object surface after the adjustment
The sequence that reorders in plate, comprising:
To remaining each described object, it is selected information according to the history before current time, predicts remaining each described object
Selected probability;
According to the sequence of selected probability from large to small, each weight of remaining object after the adjustment in object panels is determined
Collating sequence.
9. according to the method described in claim 8, it is characterized in that, described to remaining each described object, according to current time
History before is selected information, predicts the selected probability of each remaining object, comprising:
To remaining each described object, the history before obtaining current time is selected number and history the last time is selected
The time interval at moment to current time;
It is positively correlated according to selected probability and the selected number, and the function being negatively correlated with the time interval closes
System determines the selected probability of each remaining object.
10. -9 described in any item methods according to claim 1, which is characterized in that the object is input method symbol or expression
Symbol.
11. a kind of object order adjusts device characterized by comprising
By memory state acquiring unit, work as when determination reaches sequence adjustment opportunity, obtaining every an object in object panels
The preceding moment by memory state;
Target object determination unit, for according to every an object current time by memory state, in the object panels really
Make the target object for indicating to be remembered;
Object panels determination unit after adjustment, object panels after the adjustment for determining current time, after adjustment in object panels
The sequence of the target object keeps immobilizing with before adjustment, remaining object in addition to the target object is according to current time
History before is selected information, readjusts collating sequence.
12. device according to claim 11, which is characterized in that described to reach sequence by the determination of memory state acquiring unit
The process on adjustment opportunity, comprising:
When detecting that the instruction of object panels is opened in request, determines and reach sequence adjustment opportunity;
The device further include:
Display unit is exported, for showing object panels output after the adjustment.
13. device according to claim 11, which is characterized in that described to reach sequence by the determination of memory state acquiring unit
The process on adjustment opportunity, comprising:
When reaching the detection moment in current detection period, determines and reach sequence adjustment opportunity;
Object panels after the adjustment determined in object panels determination unit after the adjustment are used as next detection cycle for storing
Detection moment before, receive when the instruction of object panels is opened in request and carry out output and show;
Or,
When selected there are object in detecting the object panels, determine and reach sequence adjustment opportunity;
Object panels after the adjustment determined in object panels determination unit after the adjustment receive next time for storing to be used as
Request carries out output when opening the instruction of object panels and shows.
14. device according to claim 11, which is characterized in that described to obtain object panels by memory state acquiring unit
In every an object current time the process by memory state, comprising:
Obtain object panels in every an object current time by memory intensity;
The target object determination unit includes:
First object object determines subelement, for, by memory intensity, determining current time according to every an object current time
By memory intensity be greater than setting intensity threshold target object.
15. device according to claim 14, which is characterized in that described to obtain object panels by memory state acquiring unit
In every an object current time the process by memory intensity, comprising:
It is selected information according to the history before an object current time every in user's memory regulation and object panels, determines and uses
Family current time to the memory intensity of every an object, as every an object by memory intensity.
16. device according to claim 15, which is characterized in that described to be remembered by memory state acquiring unit according to user
History in rule and object panels before every an object current time is selected information, determines user's current time to each
The process of the memory intensity of object, comprising:
According to user's memory regulation, the dual chamber memory models comprising short-term memory room and long-term memory room are established, wherein remember in short-term
The the first memory intensity recalled in room is weak according to the first Forgetting coefficient, and is converted into long-term memory room according to the first transformation ratio
The second memory intensity, the second memory intensity in long-term memory room is weak according to the second Forgetting coefficient;
At the time of being selected number according to the history before an object current time every in object panels, and be selected every time, knot
The dual chamber memory models are closed, determine first memory intensity of the current time every an object in short-term memory room, and when long
The second memory intensity in memory cell;
According to the first memory intensity and the second memory intensity, total memory intensity of current time every an object is determined.
17. device according to claim 11, which is characterized in that object panels determination unit includes: after the adjustment
Target object order determination unit, for determining sequence of the target object after the adjustment in object panels, with adjustment
Sequence in the preceding object panels immobilizes;
Remaining object-order determination unit, for remaining object in the object panels in addition to the target object, according to
History before current time is selected information, determine remaining each object after the adjustment in object panels reorder it is suitable
Sequence.
18. device according to claim 17, which is characterized in that remaining described object-order determination unit includes:
Selected probability prediction unit, for being believed according to the history before current time is selected to remaining each described object
Breath predicts the selected probability of each remaining object;
Reorder order determination unit, for the sequence according to selected probability from large to small, determines that remaining each described object exists
The sequence that reorders after the adjustment in object panels.
19. device according to claim 18, which is characterized in that the selected probability prediction unit includes:
History is selected information acquisition unit, for remaining each described object, the history before obtaining current time to be selected
Middle number and history the last time are selected the time interval at moment to current time;
Selected probability determining unit, for being positively correlated according to selected probability and the selected number, and with it is described when
Between be spaced the functional relation being negatively correlated, determine the selected probability of each remaining object.
20. a kind of object order adjusts equipment, which is characterized in that including memory and processor;
The memory, for storing program;
The processor realizes that object order of any of claims 1-10 such as adjusts for executing described program
Each step of method.
21. a kind of readable storage medium storing program for executing, is stored thereon with computer program, which is characterized in that the computer program is processed
When device executes, each step such as object order method of adjustment of any of claims 1-10 is realized.
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