CN101887390A - Method and device for evaluating rating of application software - Google Patents
Method and device for evaluating rating of application software Download PDFInfo
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- CN101887390A CN101887390A CN 201010207649 CN201010207649A CN101887390A CN 101887390 A CN101887390 A CN 101887390A CN 201010207649 CN201010207649 CN 201010207649 CN 201010207649 A CN201010207649 A CN 201010207649A CN 101887390 A CN101887390 A CN 101887390A
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Abstract
The embodiment of the invention discloses a method for evaluating a rating of application software. The method comprises the following steps of: acquiring operation of the application software by a user; when the operation is matched with a preset behavior type, calling a number value corresponding to the preset behavior type to update the rating of the application software; and displaying the rating of the application software. Correspondingly, the embodiment of the invention also discloses a device for evaluating the rating of the application software. The method and the device for evaluating the rating of the application software have the advantages of simplifying the operation of the user, realizing real-time updating of the rating of the application software, improving the accuracy of evaluating the rating of the application software and improving the user experience.
Description
Technical field
The present invention relates to the software store technical field, relate in particular to a kind of application software ranking method and device in the software store.
Background technology
The following scheme of the general employing of the ranking method of existing application software: see also Fig. 1, be existing grading dialog box synoptic diagram; When the user unloads certain application software, eject grading dialog box as shown in Figure 1 automatically, require the user that software is carried out the asterisk grading; See also Fig. 2, be existing asterisk grading menu synoptic diagram; The user realizes using the grading of software by clicking asterisk grading menu as shown in Figure 2.
The inventor finds that mainly there is following defective in the grading scheme of existing application software in implementing process of the present invention:
1, grading mode is single.Existing grading scheme can only (be generally: mode star to five star) realizes the grading of application software, and this grading mode is too single, and needs the user manually to operate, and user experience is not high by clicking asterisk;
2, inaccurate to the grading of using software.Because existing grading scheme relies on user's the asterisk that clicks to realize grading, if the user cancels the grading dialog box or does not click asterisk grading menu, then can't realize grading, thereby can't accurately embody the quality of this application software, reduce user experience application software.
Summary of the invention
Embodiment of the invention technical matters to be solved is, a kind of application software ranking method and device are provided, and can simplify user's operation, realizes the real-time update of application software grade point, improves the accuracy of application software grading, promotes user experience.
In order to solve the problems of the technologies described above, the embodiment of the invention provides a kind of application software ranking method, comprising:
Obtain the user to using the operation of software;
When described operation is complementary with the behavior type of presetting, call the grade that described default behavior type value corresponding is upgraded described application software;
The grade that shows described application software.
Wherein, described default behavior type comprises: bonus point behavior type and subtract branch behavior type;
Wherein, described bonus point behavior type comprises any one or more in the following behavior type: send application software recommendation information, issue to using favorable comment, downloading application software and the brief introduction of click browse application software of software to the good friend; The described branch behavior type that subtracts comprises in the following behavior type any one or more: application software is commented and unloaded to issue to the difference of using software.
Wherein, each behavior type is corresponding to a kind of numerical value, and described numerical value comprises score value or weighted value.
Wherein, describedly call the grade that described default behavior type value corresponding is upgraded described application software, comprising:
The score value that calls described default behavior type correspondence carries out read group total, to upgrade the grade point of described application software; Wherein, each behavior type is corresponding to a kind of score value.
Wherein, describedly call the grade that described default behavior type value corresponding is upgraded described application software, comprising:
The weighted value that calls described default behavior type correspondence is weighted summation or weighted average calculation, to upgrade the grade point of described application software; Wherein, each behavior type is corresponding to a kind of weighted value.
Wherein, after the grade point of the described application software of described renewal, also comprise: the grade point of the described application software after will upgrading is converted to the star value of described application software.
Wherein, the grade of the described application software of described demonstration comprises:
According to the grade point and/or the star value of described application software, to the processing of sorting of described application software; Wherein, after described ordering is handled, show the grade of described application software by ranking results.
Correspondingly, the embodiment of the invention also provides a kind of application software grading device, comprising:
Detection module is used to obtain the operation of user to application software, and judges whether described operation is complementary with the behavior type of presetting;
The update calculation module, be used for when described detection module judged result when being, call the grade that described default behavior type value corresponding is upgraded described application software;
Display module is used to show the grade of the described application software after described update calculation module is upgraded.
Wherein, described device also comprises:
Memory module is used to store predefined various actions type and described various actions type value corresponding to application software, and wherein, described numerical value comprises score value or weighted value;
Wherein, described the various actions type of using software is comprised: bonus point behavior type and subtract branch behavior type;
Wherein, described bonus point behavior type comprises any one or more in the following behavior type: send application software recommendation information, issue to using favorable comment, downloading application software and the brief introduction of click browse application software of software to the good friend; The described branch behavior type that subtracts comprises in the following behavior type any one or more: application software is commented and unloaded to issue to the difference of using software.
Wherein, described update calculation module comprises:
The first update calculation unit, the score value that is used to call described default behavior type correspondence carries out read group total, to upgrade the grade point of described application software;
Wherein, each behavior type is corresponding to a kind of score value.
Wherein, described update calculation module comprises:
The second update calculation unit, the weighted value that is used to call described default behavior type correspondence is weighted summation or weighted average calculation, to upgrade the grade point of described application software;
Wherein, each behavior type is corresponding to a kind of weighted value.
Wherein, described update calculation module also comprises:
Converting unit, the grade point of the described application software after being used for the described first update calculation unit or the second update calculation unit upgraded is converted to the star value of described application software;
Wherein, the star value after grade point after the described first update calculation unit and the second update calculation unit upgrade and the conversion of described converting unit shows for described display module.
Implement the embodiment of the invention, have following beneficial effect:
The embodiment of the invention is by detecting the user realizes application software to the concrete operations of using software grading, the grading of application software is incorporated to user's operation behavior, need not to eject dialog box or click concrete function menu, simplified user's operation, improve the accuracy of application software grading simultaneously, promoted user experience.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art below, apparently, accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is existing grading dialog box synoptic diagram;
Fig. 2 is existing asterisk grading menu synoptic diagram;
Fig. 3 is the structural representation of first embodiment of application software grading device of the present invention;
Fig. 4 is the structural representation of second embodiment of application software grading device of the present invention;
Fig. 5 is the structural representation of first embodiment of update calculation module of the present invention;
Fig. 6 is the structural representation of second embodiment of update calculation module of the present invention;
Fig. 7 is the process flow diagram of first embodiment of application software ranking method of the present invention;
Fig. 8 is the process flow diagram of second embodiment of application software ranking method of the present invention;
Fig. 9 is the process flow diagram of the 3rd embodiment of application software ranking method of the present invention;
Figure 10 is the process flow diagram of the 4th embodiment of application software ranking method of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that is obtained under the creative work prerequisite.
See also Fig. 3, be the structural representation of the embodiment of application software of the present invention grading device; Described device comprises:
In the specific implementation, the user can be by user interface to using the various operations of software implementation, it includes but not limited in the following operation any one or more: land software store (such as APP Store (ApplicationStore, the software application shop), coolmart (software supermarket)), the inquiry application software, send the application software recommendation information to the good friend, issue is to using the favorable comment of software, issue is commented the difference of using software, downloading application software is clicked the brief introduction of browse application software, uses application software and unloading application software.When the user carried out above-mentioned various operation to using software, described detection module 10 obtained described operation, and judged that whether this operation is and the be complementary operation of (same or similar) of the behavior type preset.
In the specific implementation, can preestablish each behavior type corresponding to a kind of numerical value, this numeric representation behavior type is to using the influence power of software scoring, it can be score value or weighted value, when described detection module 10 judged results when being, be the described a certain default behavior type that is operating as, then described update calculation module 20 is called the grade that described default behavior type value corresponding is upgraded described application software.Particularly, the score value that described update calculation module 20 can be called described default behavior type correspondence carries out the grade that read group total is upgraded described application software, and the weighted value that also can call described default behavior type correspondence is weighted the grade that summation or weighted average calculation are upgraded described application software.
In the specific implementation, described display module 30 is used to show various application software, and the grade that shows various application software, wherein, the grade of described application software can adopt the multiple form of expression, it can adopt grade point (being the score value of certain the grade correspondence) form of expression, also can adopt star value (being the number of the corresponding asterisk of certain grade) form of expression.After the grade of 20 pairs of application of described update calculation module software was upgraded, described display module 30 showed the grade of the application software after described update calculation module 20 is upgraded.
The embodiment of the invention is by detecting the user realizes application software to the concrete operations of using software grading, the grading of application software is incorporated to user's operation behavior, need not to eject dialog box or click concrete function menu, simplified user's operation, improve the accuracy of application software grading simultaneously, promoted user experience.
See also Fig. 4, be the structural representation of second embodiment of application software of the present invention grading device; Described application software grading device is identical with the structure of a last embodiment, comprising: detection module 10, update calculation module 20 and display module 30.In the present embodiment, described application software grading device further comprises:
In the specific implementation, described order module 40 can be according to the grade point of described application software, sort to using software, such as: the grade point of supposing application software one is 85 minutes, the grade point of application software two is 90 minutes, the grade point of application software three is 80 minutes, and then described order module 40 is arranged in order by the good and bad degree of application software and is application software two, application software one, application software three; For another example: the star value of supposing application software one is a four stars half, the star value of application software two is a five-pointed star, the star value of application software three is a four stars, and then described order module 40 is arranged in order by the good and bad degree of application software and is application software two, application software one, application software three; And for example: suppose that application software one grade point is 85 minutes, the star value is a five-pointed star; The grade point of application software two is 90 minutes, and the star value is a five-pointed star; The grade point of application software three is 70 minutes, and the star value is a four stars; Then described order module 40 can at first sort according to the star value, be arranged in order by the good and bad degree of application software and be application software one and application software two, application software three, secondly, described order module 40 also needs according to grade point the identical application software one and two of star value to be sorted, and is arranged in order by the good and bad degree of application software to be application software two, application software one; At last, described order module 40 obtains arranging final ranking results by application software quality degree and is: application software two, application software one, application software three.
Need to prove, the grade point of the described application software after described update calculation module 20 is upgraded and/or star value can directly offer described display module 30 and show, also can offer described order module 40 advanced line orderings handles, and then provide ranking results to display module 30 by order module 40, make described display module 30 carry out the demonstration of application software and corresponding grade according to the ranking results of described order module 40.
In the specific implementation, the form that memory module 50 can be shown is stored above-mentioned default various actions type, as following table one:
Table one: behavior type table
| Behavior type | Attribute |
| Send the application software recommendation information to the good friend | The bonus point behavior type |
| Issue is to using the favorable comment of software | The bonus point behavior type |
| Downloading application software | The bonus point behavior type |
| Click the brief introduction of browse application software | The bonus point behavior type |
| Issue is commented the difference of using software | Subtract branch behavior type |
| Use to surpass and unload application software after three months | Subtract branch behavior type |
| Use less than unloading in three months application software | Subtract branch behavior type |
| ??...... | ??...... |
In the specific implementation, described memory module 50 also is used to store predefined every kind of behavior type value corresponding, and particularly, each behavior type is corresponding to a kind of score value; Or each behavior type is corresponding to a kind of weighted value; As above-mentioned, the form that described memory module 50 can be shown is stored the corresponding relation of described behavior type and score value, as following table two and table three:
Table two: behavior type and score value corresponding tables one
| Behavior type | Score value |
| Send the application software recommendation information to the good friend | ??2 |
| Issue is to using the favorable comment of software | ??2 |
| Downloading application software | ??4 |
| Click the brief introduction of browse application software | ??1 |
| ??...... | ??...... |
Table three: behavior type and score value corresponding tables two
| Behavior type | Score value |
| Send the application software recommendation information to the good friend | ??2 |
| Behavior type | Score value |
| Issue is to using the favorable comment of software | ??2 |
| Downloading application software | ??4 |
| Click the brief introduction of browse application software | ??1 |
| Issue is commented the difference of using software | ??2 |
| Use to surpass and unload application software after three months | ??4 |
| Use less than unloading in three months application software | ??6 |
| ??...... | ??...... |
Correspondingly, the form that described memory module 50 can be shown is stored the corresponding relation of described behavior type and weighted value, as following table four:
Table four: behavior type and weighted value corresponding tables
| Behavior type | Weighted value |
| Send the application software recommendation information to the good friend | ??+2 |
| Issue is to using the favorable comment of software | ??+2 |
| Downloading application software | ??+4 |
| Click the brief introduction of browse application software | ??+1 |
| Issue is commented the difference of using software | ??-2 |
| Use to surpass and unload application software after three months | ??-4 |
| Use less than unloading in three months application software | ??-6 |
| ??...... | ??...... |
In the specific implementation, because the grade of described application software comprises grade point or star value, therefore, described memory module 50 also is used to store the grade point of predefined application software and the corresponding relation of star value, and wherein, each star value is corresponding to a grade point scope; As above-mentioned, the form storage level value that described memory module 50 can be shown and the corresponding relation of star value, as following table five:
Table five: grade point and star value mapping table
| Grade point | The star value |
| More than or equal to 85 minutes | Five-pointed star |
| More than or equal to 80 minutes less than 85 minutes | Four stars half |
| More than or equal to 65 minutes less than 80 minutes | Four stars |
| More than or equal to 60 minutes less than 65 minutes | Samsung half |
| More than or equal to 45 minutes less than 60 minutes | Samsung |
| More than or equal to 40 minutes less than 45 minutes | Two stars half |
| More than or equal to 25 minutes less than 40 minutes | Two stars |
| More than or equal to 20 minutes less than 35 minutes | One star half |
| More than or equal to 15 minutes less than 20 minutes | One star |
| Less than 15 minutes | Half star |
| ??...... | ??...... |
Be understandable that above-mentioned table one, table two, table three, table four and table five only for for example, can carry out corresponding modify and expansion to each table entry as the case may be, but other situation similar analysis are not given unnecessary details at this.
In the specific implementation, described memory module 50 also is used for being stored in all information that the grading process is produced, and comprises that storage user that described detection module 10 obtained to the operation of using software etc., does not give unnecessary details at this.
The embodiment of the invention is by detecting the user realizes application software to the concrete operations of using software grading, the grading of application software is incorporated to user's operation behavior, need not to eject dialog box or click concrete function menu, simplified user's operation, improve the accuracy of application software grading simultaneously, promoted user experience.
For clearer explanation the present invention, will describe in detail to update calculation module of the present invention below.
See also Fig. 5, be the structural representation of first embodiment of update calculation module of the present invention; Described update calculation module 20 comprises:
The first update calculation unit 201, the score value that is used to call described default behavior type correspondence carries out read group total, to upgrade the grade point of described application software; Wherein, each behavior type is corresponding to a kind of score value;
In the specific implementation, the read group total mode that described first computing unit 201 adopts includes but not limited to any one or more in the following mode:
1, carry out bonus point calculating according to described operation to using software, promptly the user whenever carries out single job, and the described first update calculation unit 201 promptly calls score value corresponding in the above-mentioned table two and carries out a bonus point calculating; As: the user whenever carries out once " downloading application software " operation, and the described first update calculation unit 201 promptly adds 4 fens to this application software; For another example: the user whenever carries out once " issue is to using the favorable comment of software " operation, and the described first update calculation unit 201 promptly adds 2 fens to this application software.The advantage of this kind account form is to calculate rapidly simple, because this kind mode has been ignored some operation of user to using the negative effect that grading rose of software, therefore, this kind mode is comprehensive inadequately to the grading of using software.
2, calling the score value corresponding with the behavior type of described operation corresponding preset carries out bonus point or subtracts branch calculating to using software, be that the user whenever carries out the bonus point behavior type one time, the then described first update calculation unit 201 promptly calls score value corresponding in the above-mentioned table three and carries out a bonus point calculating, the user whenever once subtracts branch behavior type, and the then described first update calculation unit 201 promptly calls score value corresponding in the above-mentioned table three and once subtracts branch calculating; Whenever carry out once " downloading application software " operation such as: user, the described first update calculation unit 201 at first calls above-mentioned table one and judges that this operation is the bonus point behavior type, calls then that corresponding score value adds 4 fens to using software in the above-mentioned table three; For another example: the user whenever carries out once " issue is commented the difference of using software " operation, and the described first update calculation unit 201 at first calls above-mentioned table one and judges that this operation is the bonus point behavior type, calls then that corresponding score value subtracts 2 fens to using software in the above-mentioned table three.Because the operation of having considered the user is to using the influence of software, this kind mode is more comprehensive accurately with respect to the 1st kind of mode to the grading of using software.
In the specific implementation, an initial grade value when being uploaded to software store, each application software is arranged all, the standard that this initial grade value can set for the software store supvr; When the user operates first to this application software, the described first update calculation unit 201 promptly carries out read group total one time to this application software on the basis of initial grade value, thereby upgraded the grade point of this application software after operation first, this grade point is as the initial grade value of operation next time, by that analogy.Such as: the initial grade value of supposing certain application software is 20, the user has carried out twice " downloading application software " operation, the described first update calculation unit 201 adopts the 2nd kind of account form, at first call above-mentioned table one and judge that this operation is the bonus point behavior type, call corresponding score value in the above-mentioned table three then, on the basis of the initial grade value of this application software, add 8 fens to using software, that is: 20+8=28, thus the grade point of this application software was updated to 28 fens from 20 minutes.
See also Fig. 5 again, described update calculation module 20 also comprises:
Converting unit 202, the grade point of the described application software after being used for the described first update calculation unit 201 upgraded is converted to the star value of described application software;
Wherein, grade point after the described first update calculation unit 201 upgrades and the star value after 202 conversions of described converting unit show for described display module 30.
In the specific implementation, described converting unit 202 is called above-mentioned table five, and described grade point is converted to the star value.Need to prove, the grade point of the described application software after the described first update calculation unit 201 upgrades and/or the star value that described converting unit 202 is converted to can directly offer described display module 30 and show, also can offer described order module 40 advanced line orderings handles, and then provide ranking results to display module 30 by order module 40, make described display module 30 carry out the demonstration of application software and corresponding grade according to the ranking results of described order module 40.
The update calculation process of the module of update calculation described in the present embodiment 20 is described with an instantiation below:
The grade point of supposing certain application software is 20 minutes, described detection module 10 obtains and judges that the user comprises the operation of this application software: the recommendation information totally 5 times that sends this application software to the good friend, issue is to the favorable comment of this application software totally 6 times, downloaded this application software totally 10 times, click browse application software brief introduction totally 15 times, issue is commented 10 times the difference of using software totally, uses to surpass to unload application software totally 2 times after three months, uses less than unloading in three months application software totally 2 times.
1, adopt the 1st kind of account form, corresponding score value in the described first update calculation unit 201 call lists two, it is as follows to carry out the read group total process:
20+2*5+2*6+4*10+1*15＝97
Through above-mentioned read group total, the described first update calculation unit 201 was updated to the grade point of this application software 97 minutes from 20 minutes.
Further, to convert described grade point to the star value in 97 minutes be five-pointed star to described converting unit 202 call lists 5.
2, adopt the 2nd kind of account form, the described first update calculation unit 201 calls above-mentioned table one to be judged the bonus point behavior type in the aforesaid operations and subtracts branch behavior type, and calling score value corresponding in the above-mentioned table three then, to carry out the read group total process as follows:
20+2*5+2*6+4*10+1*15-2*10-4*2-6*2＝57
Through above-mentioned read group total, the described first update calculation unit 201 was updated to the grade point of this application software 57 minutes from 20 minutes.
Further, to convert described grade point to the star value in 57 minutes be Samsung to described converting unit 202 call lists 5.
The embodiment of the invention can be simplified user's operation, has realized the real-time update of application software grade, has improved the accuracy of application software grading, has promoted user experience.
See also Fig. 6, be the structural representation of second embodiment of update calculation module of the present invention; Identical with a last embodiment, described update calculation module 20 comprises: converting unit 202.In the present embodiment, described update calculation module 20 further comprises:
The second update calculation unit 203, the weighted value that is used to call described default behavior type correspondence is weighted summation or weighted average calculation, to upgrade the grade point of described application software; Wherein, each behavior type is corresponding to a kind of weighted value;
In the specific implementation, the account form that described second computing unit 203 adopts is as follows:
Call the corresponding weighted value of default behavior type that is complementary with described operation and be weighted summation or weighted average calculation using software.Because weighted value has positive and negative branch, this kind mode has been considered user's operation to using the influence of software, and it is accurate comparatively comprehensively to the grading of using software.
Be understandable that described converting unit 202 also is used for being converted to according to the grade point of the described application software after the described second update calculation unit, 203 renewals star value of described application software;
Wherein, grade point after the described second update calculation unit 203 upgrades and the star value after 202 conversions of described converting unit show for described display module 30.
In the specific implementation, described converting unit 202 is called above-mentioned table five, and described grade point is converted to the star value.Need to prove, the grade point of the described application software after the described second update calculation unit 203 upgrades and/or the star value that described converting unit 202 is converted to can directly offer described display module 30 and show, also can offer described order module 40 advanced line orderings handles, and then provide ranking results to display module 30 by order module 40, make described display module 30 carry out the demonstration of application software and corresponding grade according to the ranking results of described order module 40.
Below the instantiation described in the above embodiment computation process of the module of update calculation described in the present embodiment 20 is described:
Described second computing unit 203 calls the corresponding weighted value of operation described in the above-mentioned table four and is respectively: call 5 times " sending the recommendation information of certain application software to the good friend " corresponding weighted value+2; Call " issue is to the favorable comment of this application software " corresponding weighted value+2 6 times; Call 10 times " downloading this application software " corresponding weighted value+4; Call " clicking the brief introduction of browse application software " corresponding weighted value+1 15 times; Call " issue is commented the difference of using software " corresponding weighted value-2 10 times; Call 2 times " use to surpass and unload application software after three months " corresponding weighted value-4 and call " using less than unloading in three months application software " corresponding weighted value-6 2 times.
It is as follows that the 203 pairs of described weighted values in the described second update calculation unit are weighted the read group total process:
20+(+2)*5+(+2)*6+(+4)*10+(+1)*15+(-2)*10+(-4)*2+(-6)*2＝57；
Calculate through above-mentioned weighted sum, the described second update calculation unit 203 was updated to the grade point of this application software 57 minutes from 20 minutes.
It is as follows that the 203 pairs of described weighted values in the described second update calculation unit are weighted the average computation process:
20+[(+2)*5+(+2)*6+(+4)*10+(+1)*15+(-2)*10+(-4)*2+(-6)*2]/(5+6+10+15+10+2+2)＝21.14。
Through above-mentioned weighted average calculation, the described second update calculation unit 203 was updated to the grade point of this application software 21.14 minutes from 20 minutes.
Further, to convert described grade point to the star value in 57 minutes be Samsung or to convert described grade point to the star value in 21.14 minutes be a star half to described converting unit 202 call lists 5.
The embodiment of the invention can be simplified user's operation, has realized the real-time update of application software grade, has improved the accuracy of application software grading, has promoted user experience.
For clearer explanation the present invention, will describe in detail to the performed application software ranking method of the above-mentioned application software grading device of the present invention below.
See also Fig. 7, be the process flow diagram of first embodiment of application software ranking method of the present invention; Described method comprises:
S101 obtains the user to using the operation of software;
In the specific implementation, the user can be by user interface to using the various operations of software implementation, it includes but not limited in the following operation any one or more: land software store (such as APP Store, coolmart), the inquiry application software, send the application software recommendation information to the good friend, issue is to using the favorable comment of software, and issue is commented downloading application software to the difference of using software, click the brief introduction of browse application software, use application software and unloading application software.When the user carried out above-mentioned various operation to using software, described S101 obtained described operation, and judges simultaneously whether described operation is the operation that is complementary with the behavior type of presetting.
S102 when described operation is complementary with the behavior type of presetting, calls the grade that described default behavior type value corresponding is upgraded described application software;
In the specific implementation, can preestablish each behavior type corresponding to a kind of numerical value, this numeric representation behavior type is to using the influence power of software scoring, it can be score value or weighted value, when described S101 judged result when being, be the described a certain default behavior type that is operating as, then described S102 calls the grade that described default behavior type value corresponding is upgraded described application software.Particularly, the score value that described S102 can call described default behavior type correspondence carries out the grade that read group total is upgraded described application software, and the weighted value that also can call described default behavior type correspondence is weighted the grade that summation or weighted average calculation are upgraded described application software.
S103 shows the grade of described application software.
In the specific implementation, described S103 is used to show various application software, and the grade that shows various application software, wherein, the grade of described application software can adopt the multiple form of expression, it can adopt grade point (being the score value of certain the grade correspondence) form of expression, also can adopt star value (being the number of the corresponding asterisk of certain grade) form of expression.After described S102 upgraded the grade of using software, described S103 showed the grade of the application software after described S102 upgrades.
The embodiment of the invention is by detecting the user realizes application software to the concrete operations of using software grading, the grading of application software is incorporated to user's operation behavior, need not to eject dialog box or click concrete function menu, simplified user's operation, improve the accuracy of application software grading simultaneously, promoted user experience.
See also Fig. 8, be the process flow diagram of second embodiment of application software ranking method of the present invention; Described method comprises:
S201 preestablishes using the various actions type of software;
S202 obtains the user to using the operation of software;
S203 judges that whether described operation is complementary with default behavior type, if judged result is for being to change S204 over to; Otherwise, return S202;
S204, the score value that calls described default behavior type correspondence carries out bonus point and calculates, to upgrade the grade point of described application software;
In the specific implementation, described S204 carries out bonus point calculating according to described operation to using software, and promptly the user whenever carries out single job, and described S204 promptly calls score value corresponding in the above-mentioned table two and carries out a bonus point calculating; As: the user whenever carries out once " downloading application software " operation, and described S204 promptly adds 4 fens to this application software; For another example: the user whenever carries out once " issue is to using the favorable comment of software " operation, and described S204 promptly adds 2 fens to this application software.The advantage of this kind account form is to calculate rapidly simple.
In the specific implementation, an initial grade value when being uploaded to software store, each application software is arranged all, the standard that this initial grade value can set for the software store supvr; When the user operates first to this application software, described S204 promptly carries out read group total one time to this application software on the basis of initial grade value, thereby upgraded the grade point of this application software after operation first, this grade point is as the initial grade value of operation next time, by that analogy.Such as: the initial grade value of supposing certain application software is 20, the user has carried out twice " downloading application software " operation, described S204 calls corresponding score value in the above-mentioned table two, on the basis of the initial grade value of this application software, add 8 fens to using software, that is: 20+8=28, thus the grade point of this application software was updated to 28 fens from 20 minutes.
S205 is converted to the grade point of the described application software after upgrading the star value of described application software;
In the specific implementation, described S206 calls above-mentioned table five, and described grade point is converted to the star value.
S206 is according to the grade point and/or the star value of application software, to the processing of sorting of described application software;
In the specific implementation, described S206 can be according to the grade point of described application software, sort to using software, such as: the grade point of supposing application software one is 85 minutes, the grade point of application software two is 90 minutes, the grade point of application software three is 80 minutes, and then described S206 is arranged in order by the good and bad degree of application software and is application software two, application software one, application software three; For another example: the star value of supposing application software one is a four stars half, and the star value of application software two is a five-pointed star, and the star value of application software three is a four stars, and then described S206 is arranged in order by the good and bad degree of application software and is application software two, application software one, application software three; And for example: suppose that application software one grade point is 85 minutes, the star value is a five-pointed star; The grade point of application software two is 90 minutes, and the star value is a five-pointed star; The grade point of application software three is 70 minutes, and the star value is a four stars; Then described S206 can at first sort according to the star value, be arranged in order by the good and bad degree of application software and be application software one and application software two, application software three, secondly, described S206 also needs according to grade point the identical application software one and two of star value to be sorted, and is arranged in order by the good and bad degree of application software to be application software two, application software one; At last, described S206 obtains arranging final ranking results by application software quality degree and is: application software two, application software one, application software three.
S207 according to ranking results, shows the grade of described application software.
S204-S205 in the present embodiment is the concrete refinement of S102 among the last embodiment, and the concrete processing procedure of S204-S205 described in the present embodiment is described with an instantiation below:
The grade point of supposing certain application software is 20 minutes, described S202 obtains the user operation of this application software is comprised: the recommendation information totally 5 times that sends this application software to the good friend, issue is to the favorable comment of this application software totally 6 times, downloaded this application software totally 10 times, click browse application software brief introduction totally 15 times, issue is commented 10 times the difference of using software totally, uses to surpass to unload application software totally 2 times after three months, uses less than unloading in three months application software totally 2 times.
Corresponding score value in the described S204 call list two, it is as follows to carry out the read group total process:
20+2*5+2*6+4*10+1*15＝97
Through above-mentioned read group total, described S204 was updated to the grade point of this application software 97 minutes from 20 minutes.
Further, to convert described grade point to the star value in 97 minutes be five-pointed star to described S205 call list 5.
The embodiment of the invention can be simplified user's operation, has realized the real-time update of application software grade, has improved the accuracy of application software grading, has promoted user experience.
See also Fig. 9, be the process flow diagram of the 3rd embodiment of application software ranking method of the present invention; Described method comprises:
S301 preestablishes using the various actions type of software;
In the specific implementation, described the various actions type of using software is comprised: bonus point behavior type and subtract branch behavior type; Wherein, described bonus point behavior type comprises any one or more in the following behavior type: send application software recommendation information, issue to using favorable comment, downloading application software and the brief introduction of click browse application software of software to the good friend; The described branch behavior type that subtracts comprises in the following behavior type any one or more: application software is commented and unloaded to issue to the difference of using software.Particularly, in the memory module of the information stores application software grading device that described S301 is default, as above-mentioned table one.
S302 obtains the user to using the operation of software;
S303 judges whether described operation is complementary with predetermined operations; If judged result is for being to change S304 over to; Otherwise, return S302;
S304 judges whether described operation is the bonus point behavior type, if judged result is for being to change S305 over to; Otherwise, change S306 over to;
In the specific implementation, described S304 compares described operation and above-mentioned default table one, judges whether this operation is the bonus point behavior type.
S305, the score value that calls described bonus point behavior type correspondence carries out bonus point and calculates, to upgrade the grade point of described application software; Change S308 over to;
In the specific implementation, described S305 calls corresponding score value and carries out bonus point calculating from above-mentioned table three; Such as: when described S304 judges that the described bonus point behavior type that is operating as " sends the recommendation information of application software " to the good friend, score value corresponding in the described S305 call list three adds 2 fens to using software;
S306 judges described operation whether for subtracting branch behavior type, if judged result is for being then to change S307 over to; Otherwise, finish;
In the specific implementation, described S306 compares described operation and above-mentioned default table one, judges that whether this operation is for subtracting branch behavior type.
S307 calls the described score value that subtracts branch behavior type correspondence and subtracts branch calculating, to upgrade the grade point of described application software;
In the specific implementation, described S307 calls corresponding score value and subtracts branch calculating from above-mentioned table three; Such as: subtract branch behavior type " issue is commented the difference of using software " when described S306 judges described being operating as, score value corresponding in the described S307 call list three subtracts 2 fens to using software.
S308 is converted to the grade point of the described application software after upgrading the star value of described application software;
S309 is according to the grade point and/or the star value of described application software, to the processing of sorting of described application software;
S310 according to described ranking results, shows the grade of described application software.
S304-S308 in the present embodiment is the concrete refinement of S102 among first embodiment of method, and present embodiment has considered that user's operation is to using the influence of software.The concrete processing procedure of S304-S308 is described with an instantiation below:
The grade point of supposing certain application software is 20 minutes, described S302 obtains the user operation of this application software is comprised: the recommendation information totally 5 times that sends this application software to the good friend, issue is to the favorable comment of this application software totally 6 times, downloaded this application software totally 10 times, click browse application software brief introduction totally 15 times, issue is commented 10 times the difference of using software totally, uses to surpass to unload application software totally 2 times after three months, uses less than unloading in three months application software totally 2 times.
Described S304 judges that described " sending the recommendation information of certain application software to the good friend ", " issue is to the favorable comment of this application software ", " downloading this application software " and " clicking the brief introduction of browse application software " are the bonus point behavior type.Corresponding score value carries out bonus point and calculates in the described S305 call list three, and is as follows with the process of the grade point that upgrades described application software:
20+2*5+2*6+4*10+1*15＝97；
Described S306 judges described " issue is commented the difference of using software ", " use after three months and unload application software " and " using less than unloading in three months application software " is and subtracts branch behavior type.Corresponding score value subtracts branch and calculates in the described S307 call list three, and is as follows with the process of the grade point that upgrades described application software:
97-2*10-4*2-6*2＝57；
Through aforementioned calculation, the grade point of this application software was updated to 57 fens from 20 minutes.
Further, to convert described grade point to the star value in 57 minutes be Samsung to described S308 call list 5.
The embodiment of the invention can be simplified user's operation, has realized the real-time update of application software grade, has improved the accuracy of application software grading, has promoted user experience.
See also Figure 10, be the process flow diagram of the 4th embodiment of application software ranking method of the present invention; Described method comprises:
S401 preestablishes using the various actions type of software;
S402 obtains the user to using the operation of software;
S403 judges in the described operation whether be complementary with predetermined operations; If judged result is for being to change S404 over to; Otherwise, return S402;
S404, the weighted value that calls described default behavior type correspondence is weighted summation or weighted average calculation, to upgrade the grade point of described application software;
S405 is converted to the grade point of the described application software after upgrading the star value of described application software;
S406 is according to the grade point and/or the star value of described application software, to the processing of sorting of described application software;
S407 according to described ranking results, shows the grade of described application software.
S404-S405 in the present embodiment is the concrete refinement of S102 among first embodiment of method, and the concrete processing procedure of S404-S405 is described with the instantiation in the foregoing description below:
Described S404 calls the corresponding weighted value of operation described in the above-mentioned table four and is respectively: call 5 times " sending the recommendation information of certain application software to the good friend " corresponding weighted value+2; Call " issue is to the favorable comment of this application software " corresponding weighted value+2 6 times; Call 10 times " downloading this application software " corresponding weighted value+4; Call " clicking the brief introduction of browse application software " corresponding weighted value+1 15 times; Call " issue is commented the difference of using software " corresponding weighted value-2 10 times; Call 2 times " use to surpass and unload application software after three months " corresponding weighted value-4 and call " using less than unloading in three months application software " corresponding weighted value-6 2 times.
It is as follows that described S404 is weighted the read group total process to described weighted value:
20+(+2)*5+(+2)*6+(+4)*10+(+1)*15+(-2)*10+(-4)*2+(-6)*2＝57；
Calculate through above-mentioned weighted sum, described S404 was updated to the grade point of this application software 57 minutes from 20 minutes.
It is as follows that described S404 is weighted the average computation process to described weighted value:
20+[(+2)*5+(+2)*6+(+4)*10+(+1)*15+(-2)*10+(-4)*2+(-6)*2]/(5+6+10+15+10+2+2)＝21.14。
Through above-mentioned weighted average calculation, described S404 was updated to the grade point of this application software 21.14 minutes from 20 minutes.
Further, to convert described grade point to the star value in 57 minutes be Samsung or to convert described grade point to the star value in 21.14 minutes be a star half to described S405 call list 5.
The embodiment of the invention can be simplified user's operation, has realized the real-time update of application software grade, has improved the accuracy of application software grading, has promoted user experience.
Description by the foregoing description, the embodiment of the invention is by detecting the user realizes application software to the concrete operations of using software grading, the grading of application software is incorporated to user's operating operation, need not to eject dialog box or click concrete function menu, simplified user's operation, improve the accuracy of application software grading simultaneously, promoted user experience.
One of ordinary skill in the art will appreciate that all or part of flow process that realizes in the foregoing description method, be to instruct relevant hardware to finish by computer program, described program can be stored in the computer read/write memory medium, this program can comprise the flow process as the embodiment of above-mentioned each side method when carrying out.Wherein, described storage medium can be magnetic disc, CD, read-only storage memory body (Read-Only Memory, ROM) or at random store memory body (Random Access Memory, RAM) etc.
Above disclosed only is preferred embodiment of the present invention, certainly can not limit the present invention's interest field with this, one of ordinary skill in the art will appreciate that all or part of flow process that realizes the foregoing description, and, still belong to the scope that invention is contained according to the equivalent variations that claim of the present invention is done.
Claims (12)
1. an application software ranking method is characterized in that, comprising:
Obtain the user to using the operation of software;
When described operation is complementary with the behavior type of presetting, call the grade that described default behavior type value corresponding is upgraded described application software;
The grade that shows described application software.
2. the method for claim 1 is characterized in that:
Described default behavior type comprises: bonus point behavior type and subtract branch behavior type;
Wherein, described bonus point behavior type comprises any one or more in the following behavior type: send application software recommendation information, issue to using favorable comment, downloading application software and the brief introduction of click browse application software of software to the good friend;
The described branch behavior type that subtracts comprises in the following behavior type any one or more: application software is commented and unloaded to issue to the difference of using software.
3. method as claimed in claim 2 is characterized in that:
Each behavior type is corresponding to a kind of numerical value, and described numerical value comprises score value or weighted value.
4. method as claimed in claim 3 is characterized in that, describedly calls the grade that described default behavior type value corresponding is upgraded described application software, comprising:
The score value that calls described default behavior type correspondence carries out read group total, to upgrade the grade point of described application software;
Wherein, each behavior type is corresponding to a kind of score value.
5. method as claimed in claim 3 is characterized in that, describedly calls the grade that described default behavior type value corresponding is upgraded described application software, comprising:
The weighted value that calls described default behavior type correspondence is weighted summation or weighted average calculation, to upgrade the grade point of described application software;
Wherein, each behavior type is corresponding to a kind of weighted value.
6. as claim 4 or 5 described methods, it is characterized in that, after the grade point of the described application software of described renewal, also comprise:
The grade point of the described application software after upgrading is converted to the star value of described application software.
7. method as claimed in claim 6 is characterized in that, the grade of the described application software of described demonstration comprises:
According to the grade point and/or the star value of described application software, to the processing of sorting of described application software;
Wherein, after described ordering is handled, show the grade of described application software by ranking results.
8. an application software grading device is characterized in that, comprising:
Detection module is used to obtain the operation of user to application software, and judges whether described operation is complementary with the behavior type of presetting;
The update calculation module, be used for when described detection module judged result when being, call the grade that described default behavior type value corresponding is upgraded described application software;
Display module is used to show the grade of the described application software after described update calculation module is upgraded.
9. device as claimed in claim 8 is characterized in that, also comprises:
Memory module is used to store predefined various actions type and described various actions type value corresponding to application software, and wherein, described numerical value comprises score value or weighted value;
Wherein, described the various actions type of using software is comprised: bonus point behavior type and subtract branch behavior type;
Wherein, described bonus point behavior type comprises any one or more in the following behavior type: send application software recommendation information, issue to using favorable comment, downloading application software and the brief introduction of click browse application software of software to the good friend;
The described branch behavior type that subtracts comprises in the following behavior type any one or more: application software is commented and unloaded to issue to the difference of using software.
10. device as claimed in claim 9 is characterized in that, described update calculation module comprises:
The first update calculation unit, the score value that is used to call described default behavior type correspondence carries out read group total, to upgrade the grade point of described application software;
Wherein, each behavior type is corresponding to a kind of score value.
11. device as claimed in claim 9 is characterized in that, described update calculation module comprises:
The second update calculation unit, the weighted value that is used to call described default behavior type correspondence is weighted summation or weighted average calculation, to upgrade the grade point of described application software;
Wherein, each behavior type is corresponding to a kind of weighted value.
12., it is characterized in that described update calculation module also comprises as claim 10 or 11 described devices:
Converting unit, the grade point of the described application software after being used for the described first update calculation unit or the second update calculation unit upgraded is converted to the star value of described application software;
Wherein, the star value after grade point after the described first update calculation unit and the second update calculation unit upgrade and the conversion of described converting unit shows for described display module.
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Cited By (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102253858A (en) * | 2011-06-27 | 2011-11-23 | 宇龙计算机通信科技(深圳)有限公司 | Device and method for managing application programs |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101206567A (en) * | 2006-12-22 | 2008-06-25 | 英业达股份有限公司 | Prearranged option system of dynamic modification selecting project and method thereof |
| CN101477552A (en) * | 2009-02-03 | 2009-07-08 | 辽宁般若网络科技有限公司 | Website user rank division method |
-
2010
- 2010-06-23 CN CN 201010207649 patent/CN101887390A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101206567A (en) * | 2006-12-22 | 2008-06-25 | 英业达股份有限公司 | Prearranged option system of dynamic modification selecting project and method thereof |
| CN101477552A (en) * | 2009-02-03 | 2009-07-08 | 辽宁般若网络科技有限公司 | Website user rank division method |
Cited By (33)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN102253858A (en) * | 2011-06-27 | 2011-11-23 | 宇龙计算机通信科技(深圳)有限公司 | Device and method for managing application programs |
| CN103049452A (en) * | 2011-10-14 | 2013-04-17 | 百度在线网络技术（北京）有限公司 | Method and device for performing application sequencing based on estimated download rate |
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| US11048726B2 (en) | 2012-06-21 | 2021-06-29 | Tencent Technology (Shenzhen) Company Limited | Method and system for processing recommended target software |
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Application publication date: 20101117 |