CN104423824A - Information processing method and device - Google Patents
Information processing method and device Download PDFInfo
- Publication number
- CN104423824A CN104423824A CN201310390990.XA CN201310390990A CN104423824A CN 104423824 A CN104423824 A CN 104423824A CN 201310390990 A CN201310390990 A CN 201310390990A CN 104423824 A CN104423824 A CN 104423824A
- Authority
- CN
- China
- Prior art keywords
- importance parameter
- calculated factor
- information processing
- processing method
- user
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0484—Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
- G06F3/04847—Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
- G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention provides information processing method and device which are applied to an electronic device. The information processing method comprises the steps of calculating calculation factors of importance parameters of each object when a plurality of objects are stored in the electronic device, wherein the importance parameters show the importance level of the object in the plurality of objects; calculating the importance parameters of each object according to the calculation factors.
Description
Technical field
The present invention relates to the field of information processing, more specifically, the present invention relates to a kind of information processing method and messaging device.
Background technology
Object browse is one of operation that in electronic equipment, user the most often uses.For the multimedia file of such as image or video, along with the increase day by day of electronic equipment storage space, the multimedia file that can store also gets more and more.User oneself may more interested image or video in order to find, and browses having to one by one from the multimedia file of magnanimity.When file designation mode is chaotic or similar documents is more, such mode of manually searching may be unusual poor efficiency.
Summary of the invention
Because above-mentioned situation, the invention provides a kind of information processing method and messaging device, it makes automatically for user determines the interested object of user's possibility from a large amount of object, thus simplifies the operation of user, improve the operating efficiency of user, improve Consumer's Experience.
According to one embodiment of the invention, provide a kind of information processing method, be applied to an electronic equipment, described information processing method comprises: when storing multiple object in described electronic equipment, to the calculated factor of each calculation and object importance parameter, the significance level of object in the middle of described multiple object described in described importance Parametric Representation; And based on described calculated factor, calculate the importance parameter of each object.
Described information processing method also comprises: based on described importance parameter, sorts to described multiple object.
Described information processing method also comprises: based on described importance parameter, determines the special object representing described multiple object from described multiple object.
Described information processing method also comprises: based on described importance parameter, shows with the display effect corresponding with described importance parameter described multiple object.
The step of the calculated factor of each calculation and object importance parameter is comprised: detect the time that user pays close attention to described object, pay close attention to time value as described calculated factor to obtain.
The step of the calculated factor of each calculation and object importance parameter is comprised: number of times user being browsed to described object counts, to obtain number of visits value as described calculated factor.
The step of the calculated factor of each calculation and object importance parameter is comprised: the number of operations of object described in user operation is counted, to obtain number of operations value as described calculated factor.
The step of the calculated factor of each calculation and object importance parameter is comprised: to the evaluation of described object, speech recognition is carried out for user, to obtain user's evaluation of estimate as described calculated factor.
The step of the calculated factor of each calculation and object importance parameter is comprised: to each calculation and object first calculated factor and the second calculated factor; Further, the step calculating the importance parameter of each object comprises: based on described first calculated factor, calculates the first importance parameter; Based on described second calculated factor, calculate the second importance parameter; Obtain the first weighting coefficient of the first importance parameter and the second weighting coefficient of the second importance parameter; And for each object, based on described first importance parameter, the first weighting coefficient, the second importance parameter and the second weighting coefficient, calculate described importance parameter.
According to another embodiment of the present invention, provide a kind of messaging device, be applied to an electronic equipment, described messaging device comprises: the first computing unit, when storing multiple object in described electronic equipment, to the calculated factor of each calculation and object importance parameter, the significance level of object in the middle of described multiple object described in described importance Parametric Representation; And second computing unit, based on described calculated factor, calculate the importance parameter of each object.
Described messaging device also comprises: sequencing unit, based on described importance parameter, sorts to described multiple object.
Described messaging device also comprises: determining unit, based on described importance parameter, determines the special object representing described multiple object from described multiple object.
Described messaging device also comprises: display unit, based on described importance parameter, shows with the display effect corresponding with described importance parameter described multiple object.
Described first computing unit is configured to: detect the time that user pays close attention to described object, pays close attention to time value as described calculated factor to obtain.
Described first computing unit is configured to: number of times user being browsed to described object counts, to obtain number of visits value as described calculated factor.
Described first computing unit is configured to: count the number of operations of object described in user operation, to obtain number of operations value as described calculated factor.
Described first computing unit is configured to: carry out speech recognition for user to the evaluation of described object, to obtain user's evaluation of estimate as described calculated factor.
Described first computing unit is configured to: to each calculation and object first calculated factor and the second calculated factor; Further, described second computing unit comprises: the first importance parameter calculation unit, based on described first calculated factor, calculates the first importance parameter; Second importance parameter calculation unit, based on described second calculated factor, calculates the second importance parameter; Weighting coefficient obtains unit, obtains the first weighting coefficient of the first importance parameter and the second weighting coefficient of the second importance parameter; And important coefficient computing unit, for each object, based on described first importance parameter, the first weighting coefficient, the second importance parameter and the second weighting coefficient, calculate described importance parameter.
In the information processing method and messaging device of the embodiment of the present invention, to the calculated factor of each calculation and object importance parameter, and calculate the importance parameter of each object based on described calculated factor.Thus, the information processing method of the embodiment of the present invention and messaging device can determine the importance degree of a large amount of objects for user stored in electronic equipment, thus conveniently follow-up such as to sort, select, the operation of Special display effect etc., from a large amount of object, interested object is determined to facilitate user, thus improve the operating efficiency of user, what shorten user searches the time, improves Consumer's Experience.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of diagram according to the information processing method of the embodiment of the present invention; And
Fig. 2 is the block diagram of diagram according to the main configuration of the messaging device of the embodiment of the present invention.
Embodiment
The embodiment of the present invention is described in detail below with reference to accompanying drawing.
First, with reference to Fig. 1, the information processing method according to the embodiment of the present invention is described.
The information processing method of the embodiment of the present invention is applied to an electronic equipment.Described electronic equipment is smart mobile phone, panel computer, personal computer etc. such as.Described electronic equipment has storage unit, for storing multiple object.Described object is such as document, image, audio frequency, video etc.
When the information processing method of the embodiment of the present invention starts, in described electronic equipment, store multiple object.The type of described multiple object can be identical, also can be different.
As shown in Figure 1, first, in step S101, the information processing method of the embodiment of the present invention is to the calculated factor of each calculation and object importance parameter.
The significance level of object in the middle of described multiple object described in described importance Parametric Representation.In other words, described importance Parametric Representation in the middle of described multiple object user likely to the degree of described subject interests.
Described importance parameter calculates based at least one in multiple calculated factor.
Particularly, in a first embodiment, consider that the eyes of user pay close attention to time of described object longer, user more may to described subject interests.Therefore, described calculated factor can comprise concern time value, that is, user pays close attention to the value of the time of described object.
More specifically, described information processing method carries out eye tracking by first-class device of making a video recording, and to detect the time that user pays close attention to described object, thus obtains concern time value as described calculated factor.The process that described eye tracking is relevant is known to those skilled in the art, is not described in detail in this.
In a second embodiment, consider that user browses the number of times of object more, more may to described subject interests.Therefore, described calculated factor can comprise number of visits value, that is, user browses the value of the number of times of described object.
More specifically, described information processing method can count the number of times that user browses described object, to obtain number of visits value as described calculated factor.In addition, for prevent due to user switch fast (as, slip over fast) object and and really wish to pay close attention to described object and the counting that obtains, the blocked operation that the described object time be presented on described electronic equipment such as can be exceeded predetermined threshold by described information processing method is defined as effectively to be browsed, and the blocked operation being less than predetermined threshold the described object time be presented on described electronic equipment is defined as invalid browsing, and only the described number of times effectively browsed is counted.Described predetermined threshold can be needed according to design by those skilled in the art and set arbitrarily, does not do concrete restriction at this.
In the third embodiment, consider that the number of times of user to described Object Operations is more, more likely to described subject interests.Therefore, described calculated factor can comprise number of operations value, that is, user is to the value of the number of times that described object operates.
More specifically, described information processing method can count the number of operations of object described in user operation, to obtain number of operations value as described calculated factor.Such as, when described object be picture or video, described operational example as amplification can be comprised, reduce, to rotate etc. editing operation.When described object is audio frequency, described operational example regulates volume, adjustment progress etc. operation as comprised.Whenever described information processing method detect user described object carried out single job (no matter described operation be aforesaid operations or other operations in any), just increase progressively described number of operations value.
Described operation can be the operation carried out when just generating described object, also can be the operation carried out after storing described object.Such as, when described electronic equipment comprises image acquisition units and acquires image by described image acquisition units, the operation (as amplified) that described number of operations value can be carried out for user when just taking described image and be presented on described electronic equipment counts, and after also can being stored in described electronic equipment for described image, operation that described in playback, during image, user carries out counts.
In the fourth embodiment, consider that user may make comments for more interested object, described calculated factor also can comprise user's evaluation of estimate, namely represents the value of user for the evaluation of described object.
Particularly, described information processing method can carry out speech recognition for user to the evaluation of described object.Such as, when by speech recognition, described information processing method finds that user has a Positive evaluation for described object, described user's evaluation of estimate is increased progressively.Certainly, when by speech recognition, described information processing method finds that user has passiveness to evaluate for described object, described user's evaluation of estimate of also can successively decreasing.Described speech recognition can be based on keyword (as, " good ", " liking ", " beautiful " etc.), also can based on semantics recognition (e.g., " this photo be very natural "), specifically process is known to those skilled in the art for it, is not described in detail in this.
It is pointed out that the calculated factor described in above first embodiment to the 4th embodiment is only example.Those skilled in the art can design other calculated factor as required completely on the basis of above-described embodiment, and it all within the scope of the invention.
After obtaining calculated factor as mentioned above, next, in step S102, described information processing method, based on described calculated factor, calculates the importance parameter of each object.
Particularly, for the concern time value in the first embodiment, in a first example, described information processing method can directly using described concern time value as described importance parameter, that is:
I
i=t
i（1）
Wherein, i is the index of i-th object, and 1≤i≤N, N is the sum of the object stored in described electronic equipment, I
ibe the importance parameter of i-th object, and t
iit is the concern time value of i-th object.
Thus, the concern time value of described object is larger, and described importance parameter is larger, represents that the significance level of described object in the middle of described multiple object is higher.In other words, user is more likely to described subject interests.
In the second example, described information processing method can carry out functional transformation to described concern time value, and using the value after conversion as described importance parameter, that is:
I
i=f(t
i) （2）
Wherein, f (t
i) be the transforming function transformation function of described concern time value, such as,
Wherein, T is for paying close attention to time threshold, and it can be set arbitrarily according to the use habit of design needs and user by those skilled in the art.
In the 3rd example, described information processing method can by such as sorting the concern time value of described N number of object according to order from small to large and distributing the value from 1 to N respectively successively to it and obtain described importance parameter.Also namely, described importance parameter is the natural number of scope in 1 to N, and the value of described importance parameter is larger, shows that described object is more important.
For the number of visits value in the second embodiment, equally, in a first example, described information processing method can directly using described number of visits value as described importance parameter, that is:
I
i=k
i（4）
Wherein, k
iit is the number of visits value of i-th object.
Thus, the number of visits value of described object is larger, and described importance parameter is larger, represents that the significance level of described object in the middle of described multiple object is higher.In other words, user is more likely to described subject interests.
In the second example, described information processing method can carry out functional transformation to described number of visits value, and using the value after conversion as described importance parameter, that is:
I
i=f(k
i) （5）
Wherein, f (t
i) be the transforming function transformation function of described number of visits value, it defines by the method similar with the first embodiment equally, such as,
Wherein, K is number of visits threshold value, and it can be set arbitrarily according to the use habit of design needs and user by those skilled in the art.
In the 3rd example, equally, described information processing method can by such as sorting the number of visits value of described N number of object according to order from small to large and distributing the value from 1 to N respectively successively to it and obtain described importance parameter.
For the number of operations value in the 3rd embodiment, equally, in a first example, described information processing method can directly using described number of operations value as described importance parameter, that is:
I
i=p
i（7）
Wherein, p
iit is the number of operations value of i-th object.
Thus, the number of operations value of described object is larger, and described importance parameter is larger, represents that the significance level of described object in the middle of described multiple object is higher.In other words, user is more likely to described subject interests.
In the second example, described information processing method can carry out functional transformation to described number of operations value, and using the value after conversion as described importance parameter, that is:
I
i=f(p
i) （8）
Wherein, f (t
i) be the transforming function transformation function of described number of operations value, it defines by the method similar with the first embodiment equally, such as,
Wherein, P is number of operations threshold value, and it can be set arbitrarily according to the use habit of design needs and user by those skilled in the art.
In the 3rd example, equally, described information processing method can by such as sorting the number of operations value of described N number of object according to order from small to large and distributing the value from 1 to N respectively successively to it and obtain described importance parameter.
For the user's evaluation of estimate in the 4th embodiment, equally, in a first example, described information processing method can directly using described user's evaluation of estimate as described importance parameter, that is:
I
i=v
i（10）
Wherein, v
iit is user's evaluation of estimate of i-th object.
Thus, user's evaluation of estimate of described object is larger, and described importance parameter is larger, represents that the significance level of described object in the middle of described multiple object is higher.In other words, user is more likely to described subject interests.
In the second example, described information processing method can carry out functional transformation to described user's evaluation of estimate, and using the value after conversion as described importance parameter, that is:
I
i=f(v
i) （11）
Wherein, f (v
i) be the transforming function transformation function of described user's evaluation of estimate, it defines by the method similar with the first embodiment equally, such as,
Wherein, V is user's Evaluation threshold, and it can be set arbitrarily according to the use habit of design needs and user by those skilled in the art.
In the 3rd example, equally, described information processing method can by such as sorting user's evaluation of estimate of described N number of object according to order from small to large and distributing the value from 1 to N respectively successively to it and obtain described importance parameter.
Above, describe the calculating of described importance parameter to the 4th embodiment in conjunction with the first embodiment.
It will be appreciated by those skilled in the art that when calculating described importance parameter, can above-mentioned first embodiment be carried out appropriately combined to the 4th embodiment.Also namely, described information processing method can be one or more according to what such as pay close attention in the calculated factor of time value, number of visits value, number of operations value, user's evaluation of estimate etc., calculate described importance parameter.
Particularly, suppose each calculation and object first calculated factor and the second calculated factor.Thus, described information processing method can calculate the first importance parameter based on described first calculated factor respectively, and calculates the second importance parameter based on described second calculated factor.After this, described information processing method obtains the first weighting coefficient of the first importance parameter and the second weighting coefficient of the second importance parameter.Described first weighting coefficient and described second weighting coefficient are such as set by those skilled in the art in advance as required.After this, described information processing method, for each object, based on described first importance parameter, the first weighting coefficient, the second importance parameter and the second weighting coefficient, calculates described importance parameter.
More specifically, such as, if for i-th object, b
1(i) for by above about the first importance parameter paid close attention to the first example to the 3rd example of time value and calculate, b
2(i) second importance parameter for being calculated by the first example to the 3rd example above about number of visits value, b
3(i) the 3rd importance parameter for being calculated by the first example to the 3rd example above about number of operations value, b
4(i) the 4th importance parameter for being calculated by the first example to the 3rd example above about user's evaluation of estimate.
Thus, described information processing method such as calculates the final importance parameter for i-th object by following formula (13):
Wherein, j is the index of calculated factor (and corresponding importance parameter), and M is the sum of the calculated factor for calculating final importance parameter, in this example, and M=4.α
jfor the weighting coefficient of jth importance parameter.Alternatively,
Thus, the information processing method of the embodiment of the present invention combines the various factors paying close attention to time value, number of visits value, number of operations value, user's evaluation of estimate etc., obtain the importance parameter representing the importance degree of object in the middle of multiple object, also namely, user may to the parameter of the degree of described subject interests.
After obtaining described importance parameter, the information processing method of the embodiment of the present invention can utilize described importance parameter in every way.
In the first scene, described information processing method based on described importance parameter, can sort to described multiple object.Particularly, such as, corresponding object can according to described importance parameter from high to low, and sort by described information processing method from front to back.Multiple objects after rearrangement such as may be displayed on described electronic equipment.
Thus, even if described multiple object is presented on described electronic equipment with the form simply tiled, by sorting based on described importance parameter, user also can be made easily to find the interested object of its possibility, decrease user operation, improve Consumer's Experience.
In the second scene, described information processing method based on described importance parameter, can determine the special object representing described multiple object from described multiple object.Particularly, described information processing method according to described importance parameter from high to low, can select several objects front that importance parameter is high, the representatively representative object of described multiple object.
Thus, even if such as under same or similar condition (as same or similar place, same or similar time etc.) generate as described in multiple object (as image, video) thus cause as described in there is multiple similar object in electronic equipment time, by based on representative object described in described importance Selecting parameter, user also can be made easily to find the interested object of its possibility.
Selected by the representative object that goes out such as may be used for the wrapper object of same file folder.In addition, the representative object gone out selected by also can be used for sequence as above.Namely, in described electronic equipment, store multiple object and wherein some object is same or similar time, in some object described, select one or several representative object by processing as above and preferentially participate in described sequence (namely, give larger weight), ranking results can be made more to meet the use habit of user, thus improve Consumer's Experience.
In the 3rd scene, described information processing method based on described importance parameter, can show with the display effect corresponding with described importance parameter described multiple object.Particularly, such as, for the object that importance parameter is high, described information processing method such as can to amplify, the effect such as highlighted, animation shows.Again such as, for the object that importance parameter is low, described information processing method such as can show to reduce, to become the effects such as ash.
Thus, even if described multiple object is presented on described electronic equipment with the form simply tiled, by showing with corresponding display effect based on described importance parameter, user also can be made easily to find the interested object of its possibility, decrease user operation, improve Consumer's Experience.
Above, the information processing method of the embodiment of the present invention is described with reference to Fig. 1.
Below, the messaging device of the embodiment of the present invention is described with reference to Fig. 2.
The messaging device of the embodiment of the present invention is applied to an electronic equipment.
As shown in Figure 2, the messaging device 200 of the embodiment of the present invention comprises the first computing unit 201 and the second computing unit 202.
Described first computing unit 201 when storing multiple object in described electronic equipment, to the calculated factor of each calculation and object importance parameter, the significance level of object in the middle of described multiple object described in described importance Parametric Representation.Described second computing unit 202, based on described calculated factor, calculates the importance parameter of each object.
In one embodiment, described messaging device 200 also comprises: sequencing unit (not shown), based on described importance parameter, sorts to described multiple object.
In another embodiment, described messaging device 200 also comprises: determining unit (not shown), based on described importance parameter, determines the special object representing described multiple object from described multiple object.
In another embodiment, described messaging device 200 also comprises: display unit (not shown), based on described importance parameter, shows with the display effect corresponding with described importance parameter described multiple object.
In another embodiment, described first computing unit 201 is configured to: detect the time that user pays close attention to described object, pays close attention to time value as described calculated factor to obtain.
In another embodiment, described first computing unit 201 is configured to: number of times user being browsed to described object counts, to obtain number of visits value as described calculated factor.
In another embodiment, described first computing unit 201 is configured to: count the number of operations of object described in user operation, to obtain number of operations value as described calculated factor.
In another embodiment, described first computing unit 201 is configured to: carry out speech recognition for user to the evaluation of described object, to obtain user's evaluation of estimate as described calculated factor.
In another embodiment, described first computing unit 201 is configured to: to each calculation and object first calculated factor and the second calculated factor; Further, described second computing unit 202 comprises: the first importance parameter calculation unit, based on described first calculated factor, calculates the first importance parameter; Second importance parameter calculation unit, based on described second calculated factor, calculates the second importance parameter; Weighting coefficient obtains unit, obtains the first weighting coefficient of the first importance parameter and the second weighting coefficient of the second importance parameter; And important coefficient computing unit, for each object, based on described first importance parameter, the first weighting coefficient, the second importance parameter and the second weighting coefficient, calculate described importance parameter.
Configuration and the operation of each unit of described messaging device 200 are described in detail in reference to the information processing method of Fig. 1, no longer repeat at this.
In the messaging device of the embodiment of the present invention, to the calculated factor of each calculation and object importance parameter, and calculate the importance parameter of each object based on described calculated factor.Thus, the information processing method of the embodiment of the present invention and messaging device can determine the importance degree of a large amount of objects for user stored in electronic equipment, thus conveniently follow-up such as to sort, select, the operation of Special display effect etc., from a large amount of object, interested object is determined to facilitate user, thus improve the operating efficiency of user, what shorten user searches the time, improves Consumer's Experience.
Above, see figures.1.and.2 and describe information processing method according to the embodiment of the present invention and messaging device.
It should be noted that, in this manual, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
In addition, it should be noted that, in this manual, the statement of similar " first ... unit ", " second ... unit " is only distinguished in order to convenient when describing, and and do not mean that it must be embodied as two or more unit of physical separation.In fact, as required, described unit entirety can be embodied as a unit, also can be implemented as multiple unit.
Finally, also it should be noted that, above-mentioned a series of process not only comprises with the order described here temporally process that performs of sequence, and comprises process that is parallel or that perform respectively instead of in chronological order.
Through the above description of the embodiments, those skilled in the art can be well understood to the mode that the present invention can add required hardware platform by software and realize, and can certainly all be implemented by hardware.Based on such understanding, what technical scheme of the present invention contributed to background technology can embody with the form of software product in whole or in part, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform the method described in some part of each embodiment of the present invention or embodiment.
In embodiments of the present invention, units/modules can use software simulating, to be performed by various types of processor.For example, the executable code module of a mark can comprise one or more physics or the logical block of computer instruction, and for example, it can be built as object, process or function.However, the executable code of institute's identification module is does not have to be physically positioned at together, but the different instruction be stored in not coordination can be comprised, and when these command logics combine, its Component units/module and realize the regulation object of this units/modules.
When units/modules can utilize software simulating, consider the level of existing hardware technique, so can with the units/modules of software simulating, when not considering cost, those skilled in the art can build corresponding hardware circuit and realize corresponding function, and described hardware circuit comprises existing semiconductor or other discrete element of conventional ultra-large integrated (VLSI) circuit or gate array and such as logic chip, transistor and so on.Module can also use programmable hardware device, the realizations such as such as field programmable gate array, programmable logic array, programmable logic device.
Above to invention has been detailed introduction, applying specific case herein and setting forth principle of the present invention and embodiment, the explanation of above embodiment just understands method of the present invention and core concept thereof for helping; Meanwhile, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (18)
1. an information processing method, is applied to an electronic equipment, and described information processing method comprises:
When storing multiple object in described electronic equipment, to the calculated factor of each calculation and object importance parameter, the significance level of object in the middle of described multiple object described in described importance Parametric Representation; And
Based on described calculated factor, calculate the importance parameter of each object.
2. information processing method as claimed in claim 1, also comprises:
Based on described importance parameter, described multiple object is sorted.
3. information processing method as claimed in claim 1, also comprises:
Based on described importance parameter, from described multiple object, determine the special object representing described multiple object.
4. information processing method as claimed in claim 1, also comprises:
Based on described importance parameter, described multiple object is shown with the display effect corresponding with described importance parameter.
5. information processing method as claimed in claim 1, wherein, comprises the step of the calculated factor of each calculation and object importance parameter:
Detect the time that user pays close attention to described object, pay close attention to time value as described calculated factor to obtain.
6. information processing method as claimed in claim 1, wherein, comprises the step of the calculated factor of each calculation and object importance parameter:
Number of times user being browsed to described object counts, to obtain number of visits value as described calculated factor.
7. information processing method as claimed in claim 1, wherein, comprises the step of the calculated factor of each calculation and object importance parameter:
The number of operations of object described in user operation is counted, to obtain number of operations value as described calculated factor.
8. information processing method as claimed in claim 1, wherein, comprises the step of the calculated factor of each calculation and object importance parameter:
To the evaluation of described object, speech recognition is carried out for user, to obtain user's evaluation of estimate as described calculated factor.
9. information processing method as claimed in claim 1, wherein,
The step of the calculated factor of each calculation and object importance parameter is comprised:
To each calculation and object first calculated factor and the second calculated factor;
Further, the step calculating the importance parameter of each object comprises:
Based on described first calculated factor, calculate the first importance parameter;
Based on described second calculated factor, calculate the second importance parameter;
Obtain the first weighting coefficient of the first importance parameter and the second weighting coefficient of the second importance parameter; And
For each object, based on described first importance parameter, the first weighting coefficient, the second importance parameter and the second weighting coefficient, calculate described importance parameter.
10. a messaging device, is applied to an electronic equipment, and described messaging device comprises:
First computing unit, when storing multiple object in described electronic equipment, to the calculated factor of each calculation and object importance parameter, the significance level of object in the middle of described multiple object described in described importance Parametric Representation; And
Second computing unit, based on described calculated factor, calculates the importance parameter of each object.
11. messaging devices as claimed in claim 10, also comprise:
Sequencing unit, based on described importance parameter, sorts to described multiple object.
12. messaging devices as claimed in claim 10, also comprise:
Determining unit, based on described importance parameter, determines the special object representing described multiple object from described multiple object.
13. messaging devices as claimed in claim 10, also comprise:
Display unit, based on described importance parameter, shows with the display effect corresponding with described importance parameter described multiple object.
14. messaging devices as claimed in claim 10, wherein, described first computing unit is configured to:
Detect the time that user pays close attention to described object, pay close attention to time value as described calculated factor to obtain.
15. messaging devices as claimed in claim 10, wherein, described first computing unit is configured to:
Number of times user being browsed to described object counts, to obtain number of visits value as described calculated factor.
16. messaging devices as claimed in claim 10, wherein, described first computing unit is configured to:
The number of operations of object described in user operation is counted, to obtain number of operations value as described calculated factor.
17. messaging devices as claimed in claim 10, wherein, described first computing unit is configured to:
To the evaluation of described object, speech recognition is carried out for user, to obtain user's evaluation of estimate as described calculated factor.
18. messaging devices as claimed in claim 10, wherein,
Described first computing unit is configured to:
To each calculation and object first calculated factor and the second calculated factor;
Further, described second computing unit comprises:
First importance parameter calculation unit, based on described first calculated factor, calculates the first importance parameter;
Second importance parameter calculation unit, based on described second calculated factor, calculates the second importance parameter;
Weighting coefficient obtains unit, obtains the first weighting coefficient of the first importance parameter and the second weighting coefficient of the second importance parameter; And
Important coefficient computing unit, for each object, based on described first importance parameter, the first weighting coefficient, the second importance parameter and the second weighting coefficient, calculates described importance parameter.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310390990.XA CN104423824A (en) | 2013-09-02 | 2013-09-02 | Information processing method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310390990.XA CN104423824A (en) | 2013-09-02 | 2013-09-02 | Information processing method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104423824A true CN104423824A (en) | 2015-03-18 |
Family
ID=52972975
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310390990.XA Pending CN104423824A (en) | 2013-09-02 | 2013-09-02 | Information processing method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104423824A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108984066A (en) * | 2018-07-13 | 2018-12-11 | 维沃移动通信有限公司 | A kind of application icon display methods and mobile terminal |
| CN110248241A (en) * | 2019-06-11 | 2019-09-17 | Oppo广东移动通信有限公司 | Method for processing video frequency and relevant apparatus |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080222067A1 (en) * | 2007-03-07 | 2008-09-11 | National Taiwan University Of Science And Technology | Prediction method of near field photolithography line fabrication using by the combination of taguchi method and neural network |
| CN101501627A (en) * | 2005-06-29 | 2009-08-05 | 微软公司 | Sensing, storing, indexing, and retrieving data leveraging measures of user activity, attention, and interest |
| CN103200451A (en) * | 2012-01-06 | 2013-07-10 | 株式会社东芝 | Electronic device and audio output method |
-
2013
- 2013-09-02 CN CN201310390990.XA patent/CN104423824A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101501627A (en) * | 2005-06-29 | 2009-08-05 | 微软公司 | Sensing, storing, indexing, and retrieving data leveraging measures of user activity, attention, and interest |
| US20080222067A1 (en) * | 2007-03-07 | 2008-09-11 | National Taiwan University Of Science And Technology | Prediction method of near field photolithography line fabrication using by the combination of taguchi method and neural network |
| CN103200451A (en) * | 2012-01-06 | 2013-07-10 | 株式会社东芝 | Electronic device and audio output method |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108984066A (en) * | 2018-07-13 | 2018-12-11 | 维沃移动通信有限公司 | A kind of application icon display methods and mobile terminal |
| CN110248241A (en) * | 2019-06-11 | 2019-09-17 | Oppo广东移动通信有限公司 | Method for processing video frequency and relevant apparatus |
| CN110248241B (en) * | 2019-06-11 | 2021-06-04 | Oppo广东移动通信有限公司 | Video processing method and related device |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106504011B (en) | A kind of methods of exhibiting and device of business object | |
| CN104965889B (en) | Content recommendation method and device | |
| CN107209762B (en) | Visual interactive search | |
| US8660378B2 (en) | Image evaluating device for calculating an importance degree of an object and an image, and an image evaluating method, program, and integrated circuit for performing the same | |
| US7739275B2 (en) | System and method for selecting object metadata evolving over time | |
| CN107368510B (en) | A kind of shop search ordering method and device | |
| CN106294830A (en) | The recommendation method and device of multimedia resource | |
| CN108121737A (en) | A kind of generation method, the device and system of business object attribute-bit | |
| CN104331411B (en) | The method and apparatus of recommended project | |
| CN110019990A (en) | Method and apparatus, the method and apparatus of business object data search of screening sample | |
| WO2016177278A1 (en) | Method and system for matching service scene | |
| CN109360057A (en) | Information-pushing method, device, computer equipment and storage medium | |
| CN107704560A (en) | The method, apparatus and equipment of a kind of information recommendation | |
| US20170017882A1 (en) | Copula-theory based feature selection | |
| CN105787055A (en) | Information recommendation method and device | |
| CN106911757A (en) | The method for pushing and device of a kind of business information | |
| WO2014107193A1 (en) | Efficiently identifying images, videos, songs or documents most relevant to the user based on attribute feedback | |
| CN104376083B (en) | It is a kind of that method is recommended based on concern relation and the figure of multi-user's behavior | |
| CN105653142A (en) | Image special effect ordering method and system based on areas and user attributes | |
| CN104053023A (en) | Method and device for determining video similarity | |
| CN108874831A (en) | A kind of information recommendation method and device | |
| CN106227873A (en) | Searching method and device | |
| CN106503059A (en) | Displayed page method for pushing and device | |
| CN107423430A (en) | Data processing method, device and computer-readable recording medium | |
| CN109977316A (en) | A kind of parallel type article recommended method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150318 |
|
| RJ01 | Rejection of invention patent application after publication |