CN103488525A - Determination of user preference relevant to scene - Google Patents
Determination of user preference relevant to scene Download PDFInfo
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- CN103488525A CN103488525A CN201210195690.1A CN201210195690A CN103488525A CN 103488525 A CN103488525 A CN 103488525A CN 201210195690 A CN201210195690 A CN 201210195690A CN 103488525 A CN103488525 A CN 103488525A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/50—Service provisioning or reconfiguring
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72448—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions
- H04M1/72454—User interfaces specially adapted for cordless or mobile telephones with means for adapting the functionality of the device according to specific conditions according to context-related or environment-related conditions
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
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Abstract
The embodiment of the invention provides a method and equipment for determining user preference relevant to the scene and a computer program product. The method comprises the step of determining the scene when one or several items of mobile equipment are recorded, the method also comprises the step of determining one or several sub scene spaces according to the scene distribution. In addition, the method also comprises the steps that the corresponding preference mode is formed by aiming at each sub scene space so that when the mobile equipment is in one sub scene space, and corresponding items are displayed according to the preference mode corresponding to the sub scene space. The embodiments according to the invention have the advantages that in the user preference relevant to the scene, the items frequently used by users under the scene are sequenced so that the users can conveniently and fast obtain the frequently used items.
Description
Technical field
Embodiments of the invention relate to the user's who determines mobile device preference.More specifically, embodiments of the invention relate to method, equipment and the computer program of determining the user preference relevant to sight in mobile device.
Background technology
For the user of mobile device, it is very important can finding the contact person that they expect rapidly from the telephone directory that records numerous contact persons.The telephone directory of current use can be supported function of search.By means of this function of search, the user searches interested contact person by carry out various types of inputs on mobile device.But the search input of carrying out the contact person on mobile device is not very convenient.This be it is desirable to, and mobile device can make the user expect that the contact person of contact directly appears at the remarkable position of contacts list, thereby is searched for without the user.Some current intelligent telephone books can be listed in the uppermost position of telephone directory by the contact person of the most often contact, and this facilitates than simple alphabetical order.
Also notice, in different sights, the user of mobile device need to contact different people usually.The sight of position and time of take is example, and some user may contact their friend while staying at home weekend, and contacts possibly their client and colleague during in office work when them.Therefore, can the auto arrangement user contact person of most probable contact in certain scenarios for contact person's selection, be very easily.Further, this telephone directory that depends on sight and arrange can have personalized customization, because different users may have other people pattern of different contacts.
In the prior art, some users for mobile device method that often contact person of contact is sorted is also disclosed.For example, in U.S. Patent application US20080161059, according to communication type (for example disclose, calling, SMS and MMS) for the method for the Optimal scheduling of the number of particular contact, according to the time in one day and/or date (and according to communication type) method for the Optimal scheduling of the number of particular contact, and according to the most typical communication of this number, for the dynamic options of determining contact number or the method for soft key.But the disclosed implementation of this application mainly is based on the simple counter that depends on communication type and/or Time of Day, it does not consider sight comprehensively.Mention the telephone directory relevant to sight in U.S. Patent application US 2011/0231407, but only rested on the concept aspect, lacked the means of specific implementation.
As can be seen here, in prior art, how do not consider according to different sights, for example, according to different time or place, provide the technical scheme of the telephone directory relevant to sight to the user.
In addition, the user of mobile device usually can install a lot of application on mobile device.If the application that the user interface of system can be used most probable in given sight is listed in the position that main screen is the most obvious, the user just can avoid finding the complicated processes of needed application so.Such function is for mobile phone, such as Windows
tMthe Phone platform is very useful, because its application is by the list tissue, like this, the application commonly used under certain scenarios will come across with tabular form the remarkable position of main shield, thereby the user can make intuitively and selecting.
As can be seen here, need to consider the individual preference of user under different sights, make in given sight, automatically to the user, provide the user preference relevant to given sight, thereby make the user avoid loaded down with trivial details manual the selection.
Summary of the invention
For problems of the prior art, it is a kind of for determining method, equipment and the computer program of the user preference relevant to sight that embodiments of the invention provide.
According to one exemplary embodiment of the present invention, provide a kind of method.Described method comprises sight when one or more projects of record move equipment are used.Described method also comprises the distribution according to described sight, determines one or more sub-sights space.In addition, described method also comprises for every sub-sight space, forms corresponding preference pattern, in order to, described mobile device being detected in a sub-sight space time, according to the preference pattern with a described sub-sight space corresponding, show corresponding project.
In one embodiment, according to the distribution of described sight, determine that one or more sub-sights space comprises: identify the one or more sights bunch in the distribution of described sight; And at least one described sight bunch is divided in a sub-sight space.
In another embodiment, according to the distribution of described sight, determine that one or more sub-sights space also comprises: merge the sub-sight space distributed for the similar sight of having of disparity items.
Further, in this embodiment, merge the sub-sight space distributed for the similar sight of having of disparity items and also comprise: the sight of two projects is distributed and compares, to determine the similarity measurement between described sight distribution; And, when described similarity measurement is greater than first threshold, merge the sub-sight space for described two projects.
In another embodiment, for every sub-sight space, form corresponding preference pattern and also comprise: sight that will be overlapping in a plurality of preference patterns is divided in one of them preference pattern.
Further, in this embodiment, utilize greedy algorithm, described overlapping sight is divided in one of them preference pattern.
Further, in this embodiment, check that the sequence between the project in a plurality of preference patterns when described overlapping sight is absorbed changes; And the sequence that described overlapping sight is divided between project changes little preference pattern.
In another embodiment, the form with Analysis by Scenario Trees is stored in described sub-sight space and corresponding preference pattern in described mobile device or far-end server.
Further, in this embodiment, dynamically or be updated periodically described Analysis by Scenario Trees.
In yet another embodiment, for every sub-sight space, forming corresponding preference pattern comprises: for every sub-sight space, at least one character according to the historical service condition separately of at least a portion project in described one or more projects, described at least a portion project is sorted, to form corresponding preference pattern.
Further, in this embodiment, described at least one character comprises historical access times, historical usage frequency, historical place to use, historical service time, historical at least one of using in duration.
In yet another embodiment, described project comprises the contact person of telephone directory of mobile device or the application of using.
Sight when In yet another embodiment, one or more projects of record move equipment are used comprises: the user of record move equipment is in the activity of different time, different location.
According to another exemplary embodiment of the present invention, provide a kind of method.Described method comprises one or more projects and the corresponding sight just be used in the detection mobile device.Described method also comprises determines that described sight is in a predetermined sub-sight space.In addition, described method also comprises according to the preference pattern with described predetermined sub-sight space corresponding, shows corresponding project.
In one embodiment, described predetermined sub-sight space and corresponding preference pattern are stored in described mobile device or far-end server with the form of Analysis by Scenario Trees.
Further, in this embodiment, the preference pattern according to described predetermined sub-sight space corresponding, show that corresponding project comprises: described sight is mapped to the sub-sight space in described Analysis by Scenario Trees; And the utilization preference pattern corresponding with described sub-sight space, determine the preference pattern relevant to described sight, to show corresponding project.
Further, in this embodiment, situation about being used according to described one or more projects, dynamically or be updated periodically described Analysis by Scenario Trees.
In another embodiment, described project comprises the contact person of telephone directory of mobile device or the application of using.
In yet another embodiment, detecting the one or more projects and the corresponding sight that just are being used in mobile device comprises: detect the one or more projects and the corresponding when and where that just are being used in mobile device.
According to another exemplary embodiment of the present invention, provide a kind of equipment.Described equipment comprises at least one processor and at least one storer that comprises computer program code.Described processor and described storer are configured to utilize described processor, sight while making described equipment one or more projects that at least executive logging obtains mobile device be used, and, according to the distribution of described sight, determine one or more sub-sights space.Described processor and described storer also are configured to utilize described processor, make described equipment at least carry out for every sub-sight space, form corresponding preference pattern, in order to described mobile device detected in a sub-sight space time, according to the preference pattern with a described sub-sight space corresponding, show corresponding project.
According to another exemplary embodiment of the present invention, provide a kind of equipment.Described equipment comprises at least one processor and at least one storer that comprises computer program code.Described processor and described storer are configured to utilize described processor, make described equipment at least carry out and detect one or more projects and the corresponding sight just be used in mobile device, and determine that described sight is in a predetermined sub-sight space.Described processor and described storer also are configured to utilize described processor, make described equipment at least carry out according to the preference pattern with described predetermined sub-sight space corresponding, show corresponding project.
According to another exemplary embodiment of the present invention, provide a kind of equipment.Described equipment comprises pen recorder, the sight while being used for one or more projects of record move equipment, and first determine device, for the distribution according to described sight, determines one or more sub-sights space.Described equipment also comprises the formation device, for for every sub-sight space, form corresponding preference pattern, in order to described mobile device detected in a sub-sight space time, according to the preference pattern with a described sub-sight space corresponding, show corresponding project.
According to another exemplary embodiment of the present invention, provide a kind of equipment.Described equipment comprises pick-up unit, for detection of the one or more projects that just are being used in mobile device and corresponding sight, and second definite device, for determining that described sight is in a predetermined sub-sight space.Described equipment also comprises display device, and the preference pattern for according to described predetermined sub-sight space corresponding, show corresponding project.
According to another exemplary embodiment of the present invention, a kind of computer program is provided, comprise at least one computer-readable recording medium with the computer readable program code part be stored in wherein, described computer readable program code is partly according to an embodiment of the invention for determining the method for the user preference relevant to sight for carrying out.
According to another exemplary embodiment of the present invention, a kind of computer program is provided, comprise at least one computer-readable recording medium with the computer readable program code part be stored in wherein, described computer readable program code partly for carry out according to another embodiment of the invention for utilizing the method for the user preference relevant to sight.
According to some embodiments of the present invention, build Analysis by Scenario Trees by detecting the preference pattern relevant to sight, and determine the user preference relevant to given sight according to described Analysis by Scenario Trees.In the user preference relevant to sight, the project of often using under this sight for the user is sorted, and makes the user can obtain quickly and easily the project of frequent use.
The accompanying drawing explanation
The detailed description that non-limiting example is done of doing by reference the following drawings, other features, purpose and the advantage of each embodiment of the present invention will become more apparent:
Fig. 1 has schematically shown the process flow diagram for the method 100 of determining the user preference relevant to sight according to an embodiment of the invention.
Fig. 2 has schematically shown the example distributed for a contact person's sight in two-dimentional sight space according to an embodiment of the invention.
Fig. 3 has schematically shown the process flow diagram for the method 300 of determining the user preference relevant to sight according to another embodiment of the invention.
Fig. 4 has schematically shown the process flow diagram for the method 400 of utilizing the user preference relevant to sight according to an embodiment of the invention.
Fig. 5 has schematically shown the example with preference pattern of the disparity items that similar sight distributes according to an embodiment of the invention.
Fig. 6 has schematically shown the example of Analysis by Scenario Trees according to an embodiment of the invention.
Fig. 7 has schematically shown the block scheme for the equipment 700 of determining the user preference relevant to sight according to an embodiment of the invention.
Fig. 8 has schematically shown the block scheme for the equipment 800 that utilizes the user preference relevant to sight according to an embodiment of the invention.
Fig. 9 has schematically shown the block scheme for the equipment 900 of determining the user preference relevant to sight according to another embodiment of the invention.
Figure 10 has schematically shown the block scheme for the equipment 1000 that utilizes the user preference relevant to sight according to another embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing, embodiments of the invention are explained in more detail and illustrate.Should be understood that, drawings and Examples of the present invention are only for exemplary effect, not for limiting the scope of the invention.
In following described method, equipment and the computer program of determining according to an embodiment of the invention the user preference relevant to sight, determine user preference by the user preference modeling to relevant to sight, thereby show the project that the user often uses under this sight.
In one embodiment of the invention, described mobile device can comprise various types of mobile terminals, for example mobile phone, personal digital assistant (PDA), panel computer, portable computer.
In another embodiment of the present invention, project can be the content that shows or recommend to the user by mobile device.For example, described project can be the various concrete application that the user of the contact person of telephone directory of mobile device or mobile device uses.These application examples for example, as comprised phone, Short Message Service (SMS), multimedia information service (MMS) or browser application (IE).In addition, described project can also comprise the correspondence link in the collection of browser.
According to still another embodiment of the invention, in different sights, the user can search various interested projects by mobile device.Sight can consist of a plurality of factors.In an example, the user that described sight comprises mobile device is at different time with in the activity of different location, and for example, in this sight, the user may need to search the Related Contact's (being project) in telephone directory.In another example, described sight comprises time, place, the vehicles of taking advantage of or the concrete duty of user present position.In another example, described sight comprises the duration of the each conversation of user.In another example, described sight comprises user's social activities, for example participates in various meetings.In addition, described sight can also comprise the current residing geographic position of mobile device (for example, by Beidou satellite navigation, Galileo navigation or GPS, measure and obtain) or the historic state information of networking about mobile device and the recorded information of access history.
It is to be noted, project and sight in embodiments of the invention are not limited to foregoing, and the user may utilize mobile device to inquire about or search for interested application or can the collected sight that can be regarded as embodiments of the invention with the various types of data for to user's recommended project therein.
According to one embodiment of present invention, by above-mentioned sight, form a sight space, and described sight space can comprise one or more sub-sights space.Described sub-sight space can be two-dimentional, can be also multidimensional.In sub-sight space, the user may carry out operation repeatedly for project.For example, in the two-dimentional sight space formed with time and geographic area, as the user, relatively thick and fast when a specific time period and corresponding geographic area contact relevant contact person, the two-dimensional space consisted of this time period and corresponding geographic area has just formed a sub-sight space.
It should be explained that, in an embodiment of the present invention, when the preference for the user is carried out modeling, determine sight granularity to the preference modeling relevant to sight be have challenging.Specifically, if granularity is excessive, model can not catch and take full advantage of context information exactly so.If the sight model is too complicated, just be not easy to realize in mobile device.
For example, in the situation that only consider the context information of two types, that is, time and position, a kind of mode that the sight granularity is set so can be<period of mono-day, district >.In this case, if the user stays in " queen district " (Ji“ district ") at all the morning (i.e. " period of one day "), the telephone directory relevant to sight will only can provide same contact person's grading list under this model so.Obviously, the sight granularity of this sight model is excessive, because the contact person that often contact person of contact may be different from and often contact between 10 thirty to 12 of the morning of user between 9 o'clock to the 10 o'clock morning.
But, select little sight granularity also not necessarily can obtain accuracy preferably.For example, for top example, if time granularity is set as minute, and the position granularity is set as to place, the sight model will be very complicated so, because it will comprise 3600*N pending contextual model, the number in the place that wherein N indicating user used is accessed, and this number is greater than thousands of usually.
If above-mentioned model is considered more context information, such as the pattern of battery levels, activation (general, mourn in silence, pager etc.), inactive time, weather, by the user behavior of 3D accelerometer identification, the situation so to be processed more difficult complexity that will become, because a memory capacity mobile device limited with computing power will be difficult to store millions of preference relevant to sight.
On the other hand, the sight undersized also may be brought the problem of Sparse.For example incite somebody to action<minute, place > be set to the sight granularity, likely there are data seldom for each sight so, can't in each sight, set up like this preference pattern, because data very little there is no practical significance for statistical modeling.Suppose that given sight is<PM12:05-12:06, (latitude=115.2347, longitude=38.4517) >, because the time interval is too short, in a very possible middle of the month of finding in the past, the user only has twice calling to occur in this sight.Obviously, such sight can't provide enough sample datas, also can't set up a useful contacts list by the sight based on such.
Therefore, need to select suitable sight granularity to carry out modeling to user's preference, in order to reflect exactly the preference of user under certain scenarios.
Fig. 1 has schematically shown the process flow diagram for the method 100 of determining the user preference relevant to sight according to an embodiment of the invention.Should be understood that, the step of the method 100 shown in Fig. 1 is only the purpose for explanation, and it can comprise additional and/or alternative step.
Method 100 starts at step S101, then advances to step S102.At step S102, sight when one or more projects of record move equipment are used.
Although do not specifically illustrate in step S102, in one embodiment of the invention, method 100 can distribute according to the frequent project of using of the historical device log recording user of mobile device and corresponding sight.In another embodiment of the present invention, method 100 can distribute according to the contact person of contact person's grouped record user frequent contact of telephone directory and corresponding sight.In yet another embodiment of the present invention, method 100 can be according to the popularity of application, the quantity of the webpage for example searched by search engine, and the frequent application of using of recording user and corresponding sight distribute.
Then, at step S103, according to the distribution of described sight, determine one or more sub-sights space.
Table 1 has schematically shown the context information of device log:
Table 1
| Time | Place | Action |
| Friday 6:10pm | (115.2347，38.4517) | SMS Jimmy |
| Friday 7:00pm | (115.2347，38.5067) | Conversation Rebecca |
| ... | ... | ... |
| Saturday 11:05am | (115.4590，38.3422) | SMS Lily |
According to the context information of the device log shown in table 1, the sight that can obtain for the contact person distributes.In an example, recording user, at different time, different place and contact person's message registration, obtains the distribution situation that this user converses in the two-dimensional space be comprised of when and where, thereby the sight that obtains this user and Affiliate sessions distributes.And, can distribute to determine one or more sub-sights space according to described sight.
It is pointed out that and only have the frequent project of using of user just to there is statistical significance for definite preference pattern relevant to sight.The project of frequently not using for those can not considered when determining preference pattern.For example, in some embodiments of the invention, only consider to use or access the project that has surpassed pre-determined number within a period of time, for example within one month, use or access over 4 times.For these frequent projects of using, the distribution of the sight in the time of can being used according to these projects, determine one or more sub-sights space.
Turn back to Fig. 1, at step S104, for every sub-sight space, form corresponding preference pattern, in order to, described mobile device being detected in a sub-sight space time, according to the preference pattern with a described sub-sight space corresponding, show corresponding project.
Finally, method 100 finishes at step S105.
According to some embodiments of the present invention, in the user preference relevant to sight, the project of often using under this sight for the user is sorted, and makes the user can obtain quickly and easily the project that these often use.For example, utilize the preference pattern relevant to sight to be sorted for contact person or the application of the frequent telephone directory used of user of mobile device, N application of the contact person of most possibly contact or most probable use is presented on the remarkable position of mobile device, can improves for the contact person of preference or the recall precision of application.
Fig. 2 has schematically shown the example distributed for a contact person's sight in two-dimentional sight space according to an embodiment of the invention.In the example shown in Fig. 2, sight is two-dimentional, take the time (vertically) and place (laterally) is dimension, the representative of stain wherein is by certain indicated time point of certain vertical time and horizontal certain indicated position of place, user and a contact person's message registration, the distribution of these stains has reflected that the sight for this contact person distributes, and this sight distribution has formed two sights bunch.
In such example, on the dimension of place, different positions can be mapped to the ID of integer, and (as shown in Figure 6), simplify in order to example is shown for example position 1 or position 2.
It is pointed out that in the preference pattern relevant to sight according to an embodiment of the invention, sight bunch indicating user has one group of sight of obvious preference, and this should be considered when determining user's the preference pattern relevant to sight.
In one embodiment of the invention, by the message registration of frequent use and corresponding sight, distribute, determine corresponding sub-sight space, thereby form the preference pattern relevant to sight.For example, in the example shown in Fig. 2, shown sight distributes and has two bunches of sight A and B, and it illustrates respectively special time period and the specific geographical area that generally concentrates on A place and the indication of B place with this contact person's phone.That is to say, can determine two sub-sight spaces according to sight bunch A and B, and the preference pattern of user and this contact person's conversation has been reflected in these two sub-sight spaces.
Yet, if be evenly distributed in two-dimensional space with this contact person's message registration, with regard to explanation, with this contact person's conversation, be anywhere or anytime, rather than in specific time, specific place, thereby sub-sight space can't be formed.This situation can not considered for sight distribution modeling the time.
Fig. 3 has schematically shown the process flow diagram for the method 300 of determining the user preference relevant to sight according to another embodiment of the invention.Should be understood that, the step of the method 300 shown in Fig. 3 is only the purpose for explanation.Method 300 can comprise additional and/or alternative step.
Method 300 starts at step S301, then advances to step S302.At step S302, sight when one or more projects of record move equipment are used.Here, the execution of step S302 is identical with the step S102 in front method 100 described in conjunction with Figure 1, therefore about the details of step S102, describes and is equally applicable to step S302.
Subsequently, at step S303, according to the distribution of described sight, determine one or more sub-sights space.
In one embodiment of the invention, one or more sights bunch during sight while being used by identifying a certain project distributes, and at least one described sight bunch is divided in a sub-sight space, thereby determines the sub-sight space corresponding with described project.
Further, in another embodiment of the present invention, the distribute specific implementation whether form some sights bunch of the sight of determining a certain project is that it is carried out and clusters algorithm (for example, DBSCAN) based on density.DBSCAN is a kind of typical algorithm that clusters based on density.It will bunch be defined as the maximum set of the connected point of density, can be divided into bunch having enough highdensity zone, and can in spatial database, find clustering of arbitrary shape.According to the algorithm that clusters, generate bunch, can reach certain density requirements.
In the result that clusters generated at the algorithm that clusters utilized based on density, the sight bunch only comprised more than β different sights of predetermined Second Threshold is considered to significant, and will be used as the preference pattern relevant to sight.
Subsequently, method 300 advances to step S304.At step S304, method 300 merges the sub-sight space distributed for the similar sight of having of disparity items.
In one embodiment of the invention, the sub-sight space that will distribute for the similar sight of having of disparity items is merged, so that the sight space is tightr, thus the complexity of reduction preference pattern.After merging, each preference pattern relevant to sight is by a corresponding sub-sight space.
Further, in this embodiment, in order to merge preference pattern, can at first define some similarity measurement criterions, then will distribute and compare for the sight of two projects, to obtain the similarity measurement between described sight distribution.When described similarity measurement is greater than predetermined first threshold, will be merged into for the sub-sight space of described two projects a sub-sight space.
Subsequently, at step S305, method 300 is for every sub-sight space, form corresponding preference pattern, in order to, described mobile device being detected in a sub-sight space time, according to the preference pattern with a described sub-sight space corresponding, show corresponding project.
In one embodiment of the invention, for every sub-sight space, at least one character according to the historical service condition separately of at least a portion project in described one or more projects, sorted to described at least a portion project, to form corresponding preference pattern.
Further, in this embodiment, described at least one character comprises historical access times, historical usage frequency, historical place to use, historical service time, historical at least one of using in duration.
Subsequently, at step S306, the sight that method 300 will be overlapping in a plurality of preference patterns is divided in one of them preference pattern.
In one embodiment of the invention, some sights appear in a more than sub-sight space, make these sights belong to a plurality of preference patterns, and these sights are considered to overlapping sight.For example, in the two-dimensional space by so that when and where was formed, in sub-sight space 1, its time period is 5:00pm-7:00pm, geographic area Shi“ unit ".In sub-sight space 2, its time period is 7:00pm-9:00pm, and geographic area is " family ".When the user in 7:01pm at home with the colleague by the mobile device discussion during about a certain work, this conversation can be divided in sub-sight space 2.In fact, according to content and the contact person of conversation, this conversation is divided into the preference that can reflect more exactly this user in sub-sight space 1.In this case, can utilize greed (Greedy) the algorithm sight that this is overlapping to be divided in suitable preference pattern.
Specifically, overlapping sight for each, check when this sight is absorbed the preference pattern impact minimum on which sight bunch, so just this sight is assigned to this sight bunch.Reuse greedy algorithm, until all overlapping sights are all distributed to corresponding sight bunch.
For example, when a certain sight belongs to two sub-sight spaces simultaneously, at first it is removed from these two sub-sight spaces, two sub-sight spaces of removing after this sight form respectively two different preference pattern C and D.Subsequently, this sight is added to respectively in these two sub-sight spaces, two sub-sight spaces that comprise this sight form respectively two different preference pattern C ' and D '.Finally, more sub-sight space C and C ', and the variation of the sequence between the project in D and D '.As the variation of the sequence of project between fruit sight space C and sub-sight space C ' is less than the variation of entry sorting between sub-sight space D and sub-sight space D ', think that this interpolation is less for the impact of preference pattern C, this sight can be divided in the less preference pattern C of impact.
Alternatively or alternatively, can calculate the mean value of the change in location of each project in sub-sight space C and C ', and calculate the mean value of the change in location of each project in sub-sight space D and D '.If the mean value of the change in location in sub-sight space C ' is less than the mean value of the change in location in sub-sight space D ', just can think that this interpolation is less for the impact of preference pattern C.
Finally, method 300 finishes at step S307.
In one embodiment of the invention, the form with Analysis by Scenario Trees is stored in described sub-sight space and corresponding preference pattern in described mobile device or far-end server.
In another embodiment of the present invention, dynamically or be updated periodically described Analysis by Scenario Trees.
In yet another embodiment of the present invention, for the modeling process of the preference pattern relevant to sight, periodically carried out, in order to realize the incremental training distributed for sight, to upgrade the preference pattern relevant to sight.
Fig. 4 has schematically shown the process flow diagram for the method 400 of utilizing the user preference relevant to sight according to an embodiment of the invention.Should be understood that, the step of the method 400 shown in Fig. 4 is only the purpose for explanation.Method 400 can comprise additional and/or alternative step.
Subsequently, at step S403, determine that described sight is in a predetermined sub-sight space.Specifically, due to each sight and one or more sub-sight space correlation connection, thereby can with predetermined sub-sight space, compare by the sub-sight space that will be associated with described sight, to determine that described sight is whether in described predetermined sub-sight space.
When described sight is in described predetermined sub-sight space, method 400 advances to step S404.
At step S404, the preference pattern according to described predetermined sub-sight space corresponding, show corresponding project.As mentioned above, for every sub-sight space, exist corresponding one or more preference patterns.In these preference patterns, comprising the project corresponding with given sight, the contact person who for example converses with it in special time, locality.
In one embodiment of the invention, method 400 is mapped to the sub-sight space in described Analysis by Scenario Trees by given sight, and the utilization preference pattern corresponding with described sub-sight space (for example, contact preferences, preference is used in application), determine the preference pattern relevant to described sight, to show corresponding project.
In another embodiment of the present invention, described predetermined sub-sight space and corresponding preference pattern are stored in described mobile device or far-end server with the form of Analysis by Scenario Trees.
In yet another embodiment of the present invention, situation about being used according to described one or more projects, dynamically or be updated periodically described Analysis by Scenario Trees.
Finally, method 400 finishes at step S405.
In some embodiments of the invention, method 400 is carried out index by Analysis by Scenario Trees antithetical phrase sight space, the sub-sight space that makes the user to find rapidly to be complementary with given specific situation, thus show corresponding project.
Fig. 5 has schematically shown the example with preference pattern of the disparity items that similar sight distributes according to an embodiment of the invention.Above Fig. 5,5A shows the sub-sight space for a contact person, and below 5B shows the sub-sight space for another contact person.As shown in Figure 5, for example, because these two contact persons have similar attribute (belonging to user's relatives, friend or colleague) for the user, therefore the two has similar sub-sight space, and can carry out and merge these two sub-sight spaces according to the step S304 shown in method 300.
Fig. 6 has schematically shown the example of Analysis by Scenario Trees according to an embodiment of the invention.As shown in Figure 6, sight 1{ () 6:00am-6:01am), (position 1) }, sight 2{ (Tu.), (6:00am-6:01am), (position 2) } and sight 3{ (Tu.), (6:02am-6:03am), (position 1) } can be mapped to same sub-sight space, and this sub-sight space is associated with a preference pattern, each element in form As shown in the lower part of Figure 6, the preference pattern of its pointer to a sub-sight space.
In the example shown in Fig. 6, Analysis by Scenario Trees is a sight space with three-dimensional structure, and three latitudes comprise week, time and position.In another example of the present invention, Analysis by Scenario Trees can also comprise more dimension, for example the vehicles, the duration of call, duty or social activities dimension.
It should be explained that, in the time can't in Analysis by Scenario Trees, finding a certain sight, mean that this sight does not belong to any sub-sight space, and may user's preference not had to obvious impact.In this case, for this sight, can use the preference pattern irrelevant with sight, be for example the complete pattern arranged in alphabetical order based on usage frequency or traditional.
Fig. 7 shows and has schematically shown the block scheme for the equipment 700 of determining the user preference relevant to sight according to an embodiment of the invention.As shown in Figure 7, equipment 700 comprises pen recorder 701, first definite device 702 and forms device 703.Sight when pen recorder 701 is used for one or more projects of record move equipment.First definite device 702, for the distribution according to described sight, is determined one or more sub-sights space.Form device 703 for for every sub-sight space, form corresponding preference pattern, in order to, described mobile device being detected in a sub-sight space time, according to the preference pattern with a described sub-sight space corresponding, show corresponding project.
In one embodiment of the invention, described first determines that device 702 is also for one or more sights bunch of the distribution of identifying described sight, and at least one described sight bunch is divided in a sub-sight space.
In another embodiment of the present invention, described first determines that device 702 is also for merging the sub-sight space distributed for the similar sight of having of disparity items.
Further, in this embodiment, described first determines that device 702 is also for distributing and compare for the sight of two projects, to determine the similarity measurement between described sight distribution; And, when described similarity measurement is greater than first threshold, merge the sub-sight space for described two projects.
In yet another embodiment of the present invention, described formation device 703 also is divided in one of them preference pattern for sight that will be overlapping at a plurality of preference patterns.
Further, in this embodiment, utilize greedy algorithm, described overlapping sight is divided in one of them preference pattern.
Further, in this embodiment, described formation device 703 also changes for the sequence between the project that checks a plurality of preference patterns when described overlapping sight is absorbed, and the sequence that described overlapping sight is divided between project changes little preference pattern.
In yet another embodiment of the present invention, sub-sight space and corresponding preference pattern are stored in described mobile device or far-end server with the form of Analysis by Scenario Trees.
In yet another embodiment of the present invention, dynamically or be updated periodically described Analysis by Scenario Trees.
In yet another embodiment of the present invention, described formation device 703 is for for every sub-sight space, at least one character according to the historical service condition separately of at least a portion project in described one or more projects, described at least a portion project is sorted, to form corresponding preference pattern.
Further, in this embodiment, described at least one character comprises historical access times, historical usage frequency, historical place to use, historical service time, historical at least one of using in duration.
Fig. 8 shows and has schematically shown the block scheme for the equipment 800 that utilizes the user preference relevant to sight according to an embodiment of the invention.As shown in Figure 8, equipment 800 comprises pick-up unit the 801, second definite device 802 and display device 803.Pick-up unit 801 is for detection of the one or more projects that just are being used in mobile device and corresponding sight.Second determines that device 802 is for determining that described sight is in a predetermined sub-sight space.Display device 803, for the preference pattern according to described predetermined sub-sight space corresponding, shows corresponding project.
In one embodiment of the invention, described predetermined sub-sight space and corresponding preference pattern are stored in described mobile device or far-end server with the form of Analysis by Scenario Trees.
Further, in this embodiment, described display device 803 is for described sight being mapped to the sub-sight space of described Analysis by Scenario Trees, and the utilization preference pattern corresponding with described sub-sight space, determine the preference pattern relevant to described sight, to show corresponding project.
In another embodiment of the present invention, situation about being used according to described one or more projects, dynamically or be updated periodically described Analysis by Scenario Trees.
Fig. 9 has schematically shown the block scheme for the equipment of determining the user preference to sight relevant according to another embodiment of the invention.As shown in Figure 9, equipment 900 comprises data processor (DP) 901 and the storer (MEM) 903 be coupled with data processor 901.Described storer 903 storage programs (PROG) 902.
Embodiments of the invention can be performed by data processor 901 software realize, or realize by hardware, or by software and hardware in conjunction with realizing.
As shown in Figure 9, data processor 901 and storer 903 are configured to utilize data processor 901, the sight when making described equipment 900 at least one or more projects of executive logging mobile device being used; According to the distribution of described sight, determine one or more sub-sights space; And, for every sub-sight space, form corresponding preference pattern, in order to, described mobile device being detected in a sub-sight space time, according to the preference pattern with a described sub-sight space corresponding, show corresponding project.
In one embodiment of the invention, data processor 901 and storer 903 are configured to utilize data processor 901, make described equipment 900 at least carry out the one or more sights bunch in the distribution of the described sight of identification, and at least one described sight bunch is divided in a sub-sight space.
In another embodiment of the present invention, data processor 901 and storer 903 are configured to utilize data processor 901, make described equipment 900 at least carry out and merge the sub-sight space distributed for the similar sight of having of disparity items.
Further, in this embodiment, data processor 901 and storer 903 are configured to utilize data processor 901, making described equipment 900 at least carry out distributes the sight of two projects to compare, to determine the similarity measurement between described sight distribution, and, when described similarity measurement is greater than first threshold, merge the sub-sight space for described two projects.
In yet another embodiment of the present invention, data processor 901 and storer 903 are configured to utilize data processor 901, make described equipment 900 at least carry out will be overlapping in a plurality of preference patterns sight be divided in one of them preference pattern.
Further, in this embodiment, utilize greedy algorithm, described overlapping sight is divided in one of them preference pattern.
Further, in this embodiment, data processor 901 and storer 903 are configured to utilize data processor 901, make described equipment 900 at least carry out and check that the sequence between the project in a plurality of preference patterns when described overlapping sight is absorbed changes, and the sequence that described overlapping sight is divided between project changes little preference pattern.
In yet another embodiment of the present invention, sub-sight space and corresponding preference pattern are stored in described mobile device or far-end server with the form of Analysis by Scenario Trees.
In one embodiment of the present invention, dynamically or be updated periodically described Analysis by Scenario Trees.
In yet another embodiment of the present invention, data processor 901 and storer 903 are configured to utilize data processor 901, make described equipment 900 at least carry out for every sub-sight space, at least one character according to the historical service condition separately of at least a portion project in described one or more projects, described at least a portion project is sorted, to form corresponding preference pattern.
Further, in this embodiment, described at least one character comprises historical access times, historical usage frequency, historical place to use, historical service time, historical at least one of using in duration.
Figure 10 has schematically shown the block scheme for the equipment 1000 that utilizes the user preference relevant to sight according to another embodiment of the invention.As shown in figure 10, equipment 1000 comprises data processor (DP) 1001 and the storer (MEM) 1003 be coupled with data processor 1001.Described storer 1003 storage programs (PROG) 1002.
As shown in figure 10, data processor 1001 and storer 1003 are configured to utilize data processor 1001, make described equipment 1000 at least carry out and detect one or more projects and the corresponding sight just be used in mobile device; Determine that described sight is in a predetermined sub-sight space.And data processor 1001 and storer 1003 are configured to utilize data processor 1001, make described equipment 1000 at least carry out according to the preference pattern with described predetermined sub-sight space corresponding, show corresponding project.
In one embodiment of the invention, described predetermined sub-sight space and corresponding preference pattern are stored in described mobile device or far-end server with the form of Analysis by Scenario Trees.
Further, in this embodiment, data processor 1001 and storer 1003 are configured to utilize data processor 1001, make described equipment 1000 at least carry out described sight is mapped to the sub-sight space in described Analysis by Scenario Trees, and the utilization preference pattern corresponding with described sub-sight space, determine the preference pattern relevant to described sight, to show corresponding project.
In another embodiment of the present invention, situation about being used according to described one or more projects, dynamically or be updated periodically described Analysis by Scenario Trees.
Above reference process flow diagram shown in the drawings and block scheme have been described exemplary embodiment of the present invention.It should be noted that, embodiments of the invention can also take can from computing machine can with or the form of the computer program of computer-readable medium access, these media provide program code use or be combined with it for computing machine or any instruction execution system.For the purpose of description, computing machine can with or computer-readable mechanism can be any tangible device, it can comprise, storage, communication, propagation or transmission procedure to be to be used or to be combined with it by instruction execution system, device or equipment.
It should be noted that for embodiments of the invention are easier to understand, top description has been omitted to be known for a person skilled in the art and may to be essential some ins and outs more specifically for the realization of embodiments of the invention.It is in order to illustrate and to describe that instructions of the present invention is provided, rather than is used for exhaustive or limits the invention to disclosed form.For those of ordinary skill in the art, many modifications and changes all are fine.
Therefore; selecting and describing embodiment is in order to explain better principle of the present invention and practical application thereof; and those of ordinary skills are understood, under the prerequisite that does not break away from essence of the present invention, within all modifications and modification all fall into protection scope of the present invention defined by the claims.
Claims (42)
1. a method comprises:
Sight when one or more projects of record move equipment are used;
According to the distribution of described sight, determine one or more sub-sights space; And
For every sub-sight space, form corresponding preference pattern, in order to, described mobile device being detected in a sub-sight space time, according to the preference pattern with a described sub-sight space corresponding, show corresponding project.
2. method according to claim 1, wherein according to the distribution of described sight, determine that one or more sub-sights space comprises:
Identify the one or more sights bunch in the distribution of described sight; And
At least one described sight bunch is divided in a sub-sight space.
3. method according to claim 1, wherein according to the distribution of described sight, determine that one or more sub-sights space also comprises:
The sub-sight space that merging distributes for the similar sight of having of disparity items.
4. method according to claim 3 wherein merges the sub-sight space distributed for the similar sight of having of disparity items and also comprises:
To distribute and compare for the sight of two projects, to determine the similarity measurement between described sight distribution; And
When described similarity measurement is greater than first threshold, merge the sub-sight space for described two projects.
5. method according to claim 1 wherein, for every sub-sight space, forms corresponding preference pattern and also comprises:
Sight that will be overlapping in a plurality of preference patterns is divided in one of them preference pattern.
6. method according to claim 5, wherein utilize greedy algorithm, and described overlapping sight is divided in one of them preference pattern.
7. method according to claim 6 also comprises:
Check that the sequence between the project in a plurality of preference patterns when described overlapping sight is absorbed changes; And
The sequence that described overlapping sight is divided between project changes little preference pattern.
8. method according to claim 1, wherein the form with Analysis by Scenario Trees is stored in described sub-sight space and corresponding preference pattern in described mobile device or far-end server.
9. method according to claim 8 also comprises:
Dynamically or be updated periodically described Analysis by Scenario Trees.
10. method according to claim 1 wherein, for every sub-sight space, forms corresponding preference pattern and comprises:
For every sub-sight space, at least one character according to the historical service condition separately of at least a portion project in described one or more projects, sorted to described at least a portion project, to form corresponding preference pattern.
11. method according to claim 10, wherein said at least one character comprises historical access times, historical usage frequency, historical place to use, historical service time, historical at least one of using in duration.
12., according to the described method of any one of claim 1-11, wherein said project comprises the contact person of telephone directory of mobile device or the application of using.
13., according to the described method of any one of claim 1-11, sight when wherein one or more projects of record move equipment are used comprises:
The user of record move equipment is in the activity of different time, different location.
14. a method comprises:
Detect the one or more projects and the corresponding sight that just are being used in mobile device;
Determine that described sight is in a predetermined sub-sight space; And
Preference pattern according to described predetermined sub-sight space corresponding, show corresponding project.
15. method according to claim 14, wherein said predetermined sub-sight space and corresponding preference pattern are stored in described mobile device or far-end server with the form of Analysis by Scenario Trees.
16. method according to claim 15 wherein, according to the preference pattern with described predetermined sub-sight space corresponding, shows that corresponding project comprises:
Described sight is mapped to the sub-sight space in described Analysis by Scenario Trees; And
Utilize the preference pattern corresponding with described sub-sight space, determine the preference pattern relevant to described sight, to show corresponding project.
17. method according to claim 15 also comprises:
Situation about being used according to described one or more projects, dynamically or be updated periodically described Analysis by Scenario Trees.
18., according to the described method of any one of claim 14-17, wherein said project comprises the contact person of telephone directory of mobile device or the application of using.
19., according to the described method of any one of claim 14-17, wherein detect the one or more projects and the corresponding sight that just are being used in mobile device and comprise:
Detect the one or more projects and the corresponding when and where that just are being used in the user of mobile device.
20. an equipment comprises:
At least one processor and at least one storer that comprises computer program code;
Described processor and described storer are configured to utilize described processor, make described equipment at least carry out: sight when one or more projects that record obtains mobile device are used;
According to the distribution of described sight, determine one or more sub-sights space; And
For every sub-sight space, form corresponding preference pattern, in order to, described mobile device being detected in a sub-sight space time, according to the preference pattern with a described sub-sight space corresponding, show corresponding project.
21. equipment according to claim 20, wherein said processor and described storer are configured to utilize described processor, make described equipment at least carry out: to identify the one or more sights bunch in the distribution of described sight, and at least one described sight bunch is divided in a sub-sight space.
22. equipment according to claim 20, wherein said processor and described storer are configured to utilize described processor, make described equipment at least carry out: merge the sub-sight space distributed for the similar sight of having of disparity items.
23. equipment according to claim 22, wherein said processor and described storer are configured to utilize described processor, make described equipment at least carry out: will distribute and compare for the sight of two projects, to determine the similarity measurement between described sight distribution, and, when described similarity measurement is greater than first threshold, merge the sub-sight space for described two projects.
24. equipment according to claim 20, wherein said processor and described storer are configured to utilize described processor, and make described equipment at least carry out: sight that will be overlapping in a plurality of preference patterns is divided in one of them preference pattern.
25. equipment according to claim 24, wherein utilize greedy algorithm, and described overlapping sight is divided in one of them preference pattern.
26. equipment according to claim 25, wherein said processor and described storer are configured to utilize described processor, make described equipment at least carry out: check that the sequence between the project in a plurality of preference patterns when described overlapping sight is absorbed changes, and the sequence that described overlapping sight is divided between project to change little preference pattern.
27. equipment according to claim 20, its neutron sight space and corresponding preference pattern are stored in described mobile device or far-end server with the form of Analysis by Scenario Trees.
28. equipment according to claim 27, wherein dynamically or be updated periodically described Analysis by Scenario Trees.
29. equipment according to claim 20, wherein said processor and described storer are configured to utilize described processor, make described equipment at least carry out: for every sub-sight space, at least one character according to the historical service condition separately of at least a portion project in described one or more projects, described at least a portion project is sorted, to form corresponding preference pattern.
30. equipment according to claim 29, wherein said at least one character comprises historical access times, historical usage frequency, historical place to use, historical service time, historical at least one of using in duration.
31., according to the described equipment of any one of claim 20-29, wherein said project comprises the contact person of telephone directory of mobile device or the application of using.
32., according to the described equipment of any one of claim 20-29, wherein said sight comprises the activity of the user of mobile device in different time, different location.
33. an equipment comprises:
At least one processor and at least one storer that comprises computer program code;
Described processor and described storer are configured to utilize described processor, make described equipment at least carry out: detect the one or more projects and the corresponding sight that just are being used in mobile device;
Determine that described sight is in a predetermined sub-sight space; And
Preference pattern according to described predetermined sub-sight space corresponding, show corresponding project.
34. equipment according to claim 33, wherein said predetermined sub-sight space and corresponding preference pattern are stored in described mobile device or far-end server with the form of Analysis by Scenario Trees.
35. equipment according to claim 34, wherein said processor and described storer are configured to utilize described processor, make described equipment at least carry out:
Described sight is mapped to the sub-sight space in described Analysis by Scenario Trees, and the utilization preference pattern corresponding with described sub-sight space, determine the preference pattern relevant to described sight, to show corresponding project.
36. equipment according to claim 34, situation about wherein being used according to described one or more projects, dynamically or be updated periodically described Analysis by Scenario Trees.
37., according to the described equipment of any one of claim 33-36, wherein said project comprises the contact person of telephone directory of mobile device or the application of using.
38., according to the described equipment of any one of claim 33-36, wherein said sight comprises the activity of the user of mobile device in different time, different location.
39. an equipment comprises:
Pen recorder, the sight while being used for one or more projects of record move equipment;
First determines device, for the distribution according to described sight, determines one or more sub-sights space; And
Form device, for for every sub-sight space, form corresponding preference pattern, in order to, described mobile device being detected in a sub-sight space time, according to the preference pattern with a described sub-sight space corresponding, show corresponding project.
40. an equipment comprises:
Pick-up unit, for detection of the one or more projects that just are being used in mobile device and corresponding sight;
Second determines device, for determining that described sight is in a predetermined sub-sight space; And
Display device, the preference pattern for according to described predetermined sub-sight space corresponding, show corresponding project.
A 41. computer program, comprise at least one computer-readable recording medium with the computer readable program code part be stored in wherein, described computer readable program code is partly for carrying out according to the described method of any one of claim 1-13.
A 42. computer program, comprise at least one computer-readable recording medium with the computer readable program code part be stored in wherein, described computer readable program code is partly for carrying out according to the described method of any one of claim 14-19.
Priority Applications (2)
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| CN201210195690.1A CN103488525A (en) | 2012-06-08 | 2012-06-08 | Determination of user preference relevant to scene |
| PCT/FI2013/050458 WO2013182736A1 (en) | 2012-06-08 | 2013-04-24 | Determination of context-aware user preferences |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201210195690.1A CN103488525A (en) | 2012-06-08 | 2012-06-08 | Determination of user preference relevant to scene |
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