CN110245542A - Information processing unit, information processing method and recording medium - Google Patents
Information processing unit, information processing method and recording medium Download PDFInfo
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- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
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Abstract
Embodiments of the present invention are related to information processing unit, information processing method and recording medium.A kind of definition of classification being able to reflect user's requirement is provided, information processing unit, information processing method and the program of the classification for the group being consistent with purpose are suitably carried out.The information processing unit of embodiment has acquisition unit, determination unit, prompting part, update section.Acquisition unit obtains the group information comprising the quantity of the groups of member of structure and the attribute of each member.Determination unit compares the group feature for using the group information to indicate with the decision rule of the matching condition of each classification determined in multiple classifications, determines that described group belongs to which of the multiple classification.Prompting part prompts the judgement result of the determination unit.Update section is operated according to the amendment to the suggested judgement result, updates the decision rule.
Description
Technical field
Embodiments of the present invention are related to information processing unit, information processing method and recording medium.
Background technique
Such as in customer analysis etc. on the way, it is desirable to which the set of the people to take action i.e. group is classified as " parent-offspring ", " family
The classifications such as race ", " friend ", and adding up to for group number etc. is carried out according to classification.For the classification of group, in general, it is determined in advance
Which classification definition (matching condition) of all categories belongs to as the group of object of classification by judgement to carry out.
But the definition of the classification of group may not uniquely determine, sometimes because the view of user and/or the purpose of analysis etc. without
Together.For example, " even parent-offspring ", if the group of the group and the children and its parent that have grown up of child and its parent to be included in
The classification of same " parent-offspring ", also can be different due to the purpose of user and/or analysis.In the past, it can not carry out reflecting such use
The classification for the group that (the special silencing) of the classification of family request defines, needs to improve.
Summary of the invention
The present invention is desired to be solved the problems, such as to be, provides a kind of definition of classification for being able to reflect user's request, and appropriate
Carry out information processing unit, information processing method and the recording medium of the classification for the group being consistent with purpose.
The information processing unit of embodiment has: acquisition unit, determination unit, prompting part, update section.Acquisition unit obtains
The group information of the attribute of the quantity and each member of the groups of member of structure.The group feature pair that determination unit will use the group information to indicate
According to the decision rule of the matching condition of each classification determined in multiple classifications, determine that described group belongs in the multiple classification
Which.Prompting part prompts the judgement result of the determination unit.Update section is according to repairing to the suggested judgement result
Positive operation, updates the decision rule.
According to the information processing unit constituted above, be able to reflect the definition of the classification of user's requirement, suitably carry out with
The classification for the group that purpose is consistent.
Detailed description of the invention
Fig. 1 is the block diagram for indicating functional configuration example of information processing unit of the 1st embodiment.
Fig. 2 is the figure for illustrating an example of method of presumption group.
Fig. 3 is the figure for indicating an example of group information.
Fig. 4 is the figure for illustrating the mutual degree of closeness of group.
Fig. 5 is the figure for indicating an example of decision rule.
Fig. 6 is the figure for indicating an example of display picture.
Fig. 7 is the figure for indicating an example of decision rule.
Fig. 8 is the figure for indicating the configuration example of display information of group.
Fig. 9 is the figure for indicating an example of display picture.
Figure 10 is the figure for indicating an example of display picture.
Figure 11 is the figure for indicating an example of decision rule.
Figure 12 is the figure for indicating an example of display picture.
Figure 13 is the figure for indicating an example of decision rule.
Figure 14 is the figure for indicating an example of display picture.
Figure 15 is the figure for indicating an example of display picture.
Figure 16 is the figure for indicating an example of decision rule.
Figure 17 is the figure of the display for illustrating decision rule and/or an example of modification method.
Figure 18 is other the figure for indicating display picture.
Figure 19 is the flow chart for indicating the work example of information processing unit of the 1st embodiment.
Figure 20 is the block diagram for indicating functional configuration example of information processing unit of the 2nd embodiment.
Figure 21 is the figure for indicating an example of display picture.
Figure 22 is the figure for indicating an example of display picture.
Figure 23 is the figure for indicating an example of display picture.
Figure 24 is the figure for indicating an example of display picture.
Figure 25 is the figure for indicating an example of display picture.
Figure 26 is the figure for indicating an example of display picture.
Figure 27 is the flow chart for indicating the work example of information processing unit of the 2nd embodiment.
Figure 28 is the block diagram of the hardware configuration example of display information processor.
Specific embodiment
Hereinafter, referring to attached drawing and the information processing unit, information processing method and program of embodiment is described in detail.This
Outside, in the following description, to holding the same label of constituent element label of same function, and duplicate theory is suitably omitted
It is bright.
The 1st embodiment > of <
Fig. 1 is the block diagram for indicating functional configuration example of information processing unit 10 of the 1st embodiment.As shown in Figure 1,
The information processing unit 10 of present embodiment has: acquisition unit 11, clustering portion 12, determination unit 13, prompting part 14, operation by
Reason portion 15, update section 16.
Acquisition unit 11 obtains group information relevant to the group of object of classification is become.Group information includes the number of the groups of member of structure
The attribute of amount and each member.
Group is the set of the people to take action, such as shown in Fig. 2, is estimated by the image V for parsing preventing camera.
Specifically, can be based on distance, direction of travel, the degree of closeness of travel speed etc. reflected between the personage of photograph in image V
To estimate group.Alternatively, it is also possible to detect the direction of visual lines of personage, group is estimated based on crossing number of the direction of visual lines etc..In addition,
Also group can be estimated according to the similarity of clothes and/or action (being located at same table etc.).In addition, in the present embodiment, such as
Shown in Fig. 2, the single personage for being not belonging to other groups will consist of 1 group for convenience to handle.
The attribute of the groups of each member of structure, for example, also can be based on the personage's detected according to the image V of preventing camera
The characteristics of image of face's (or human body) calculates.In the present embodiment, it is assumed that gender and age (age) are groups of as structure
The attribute of each member, such as other attributes such as clothes, expression also can be used.
The calculating of the attribute of the presumption and each member of group both can be in the information processing unit 10 of present embodiment
Portion carries out, and can also carry out in the external of information processing unit 10.The inside group of information processing unit 10 presumption with
And in the case where the calculating of the attribute of each member, such as image V of preventing camera as shown in Figure 2 etc. is input at information
Manage device 10.Moreover, parsing image V by acquisition unit 11, the quantity comprising the groups of member of structure and the category of each member are obtained
The group information of property.On the other hand, in the calculating of the attribute of the presumption and member of the outside group of information processing unit 10
In the case of, such as group information as shown in Figure 3 is input to information processing unit 10, and is obtained by acquisition unit 11.
In addition, in the present embodiment, show by the presumptions groups such as the image V that parses preventing camera and calculate it is each at
The example of the attribute of member, as long as the method that can obtain above-mentioned group information, is not limited to the example.For example, it is also possible to
Type (adult/children etc.) based on admission moment and admission ticket to facility etc. obtains group information or is based on closing with admission ticket
Join membership information of registration etc. and obtains group information.
The group feature that clustering portion 12 is indicated based on the group information for using acquisition unit 11 to obtain carries out becoming object of classification
Group point cluster.
Group feature, for example, picture is by women 1 of more than 20 years old with the male 12 people's groups constituted of one's late 30s, by one's late 30s
Women 1,3 people's groups of more than 40 years old males 1 and male 1 of discontented 10 years old composition are using group information in this way, wrapped
The attribute of the information contained, the quantity and each member that is to say structure groups of member indicates.Clustering portion 12 is to as classification
The group of object carries out a point cluster, and the group for having such group of common feature is summarized each other and is clustered for 1.
Each other according to the group that as a point degree of closeness for the group feature of the benchmark of cluster, can also judge as object of classification
Relationship.In the example shown in Figure 4, it organizes in this 4 groups of A~D, group A~C has common number (2), organizes A, and B, D have altogether
The gender (women) of same adult, group B~D have the gender (women) of common minor.As a result, for example, such as group D and group
The common ground of B is more, few with the common ground of group A in this way, knowing the mutual relationship of group.
Determination unit 13 compares the group feature for becoming each group of object of classification with decision rule DR respectively, determines each group
Belong to which of multiple registration classifications.Classification is registered to be registered as the classification of the classification destination of group.
An example of decision rule DR is shown in FIG. 5.Decision rule DR is as shown in figure 5, determine the matching of each registration classification
Condition, the scheduled storage region being stored in inside information processing unit 10.In the example of fig. 5, as registration classification registration
Have " parent-offspring ", " family ", " friend ", " Mr. and Mrs ", the matching condition of " parent-offspring " show adult and minor ratio be 1:1 this
One condition, the matching condition of " family " are shown by adult male 1, adult female 1 and teenage (paying no attention to number) structure
At this condition, the matching condition of " friend ", which is shown, constitutes this condition by the set (paying no attention to number) of the same sex and the same generation,
The matching condition of " Mr. and Mrs ", which is shown, constitutes this condition by men and women 2 of the same generation.It is respectively stepped in addition, decision rule DR has been determined
Remember that the matching condition of classification, the form of the type and/or matching condition of registering classification are not limited to the example of Fig. 5.
Determination unit 13 is directed to each group as object of classification, meets which of multiple registration classifications by confirmation group feature
The matching condition for registering classification, determines which registration classification is the group belong to, and that is to say, is determined to be the classification destination of the group
Register classification.Moreover, determination unit 13 assigns the mark for indicating the registration classification to the group for the registration classification for having distinguished classification destination
Label.At this point, for the group that is not consistent of matching condition of group feature and which registration classification, assign indicate as registration classification with
Labels such as " other " of outer group.In addition, that is to say, in the case where the group for having common group feature is multiple for passing through
Clustering portion 12 divides cluster to be multiple groups of same cluster, it is not necessary to be determined by group, determine i.e. as unit of cluster
It can.
The judgement result of the prompt of prompting part 14 determination unit 13.Such as prompting part 14 makes the judgement result for indicating determination unit 13
Display picture is shown in the display device that user uses.The display that display device is shown in by prompting part 14 is shown in FIG. 6
An example of picture.Become the picture composition for being configured with display information 22, the display letter in the display picture 20 shown in Fig. 6
Breath 22 indicates the group for being associated with and be judged to belonging to by determination unit 13 each registration classification with each label 21 of multiple registration classifications
(group for imparting the label of the registration group).In the example being shown in FIG. 6, group this 4 groups of A~D meet adult with it is teenage
Ratio be 1:1 this " parent-offspring " matching condition, therefore, the display information 22 of group A~D is arranged respectively at the display of " parent-offspring "
Region.In addition, group E, F, which meets, constitutes this matching condition by men and women 2 of the same generation, therefore, organizes E, the display information 22 of F is divided
It is positioned respectively at the display area of " Mr. and Mrs ".
Here, there is the case where being judged to being not belonging to the group of any one of multiple registration classifications by determination unit 13
Under, it is associated with the label 21 for indicating " other " as the group other than registration classification, configures the display information 22 of the group.In Fig. 6
Shown in example, group G is judged as not meeting any one of the matching conditions of multiple registration classifications, is not belonging to any one
Classification is registered, therefore, the display information 22 for organizing G is configured in the display area of " other ".At this point, for example as shown in fig. 7, by " its
He " be set as assume registration classification can also organize the condition that the group feature of G meets as the matching condition of " other " classification
It is appended in decision rule DR.
Image that the display information 22 of expression each group on display picture 20 is for example shone upon comprising the groups of each member of structure or
Indicate the icon of each member.In display picture 20 shown in Fig. 6, as the display information 22 of each group, shows and used energy
The example of the icon of the attribute of the composition member of enough presumption groups.Alternatively, it is also possible to the image or icon one of the composition member with group
It rises, or replaces the image or icon for constituting member, using the text information for the group feature for having narrated each group as display information
22。
In addition, for point cluster (clustering) by clustering portion 12 summarizes for 1 multiple group clustered,
The multiple group can also be summed up with 1 display information 22.There is common group special due to belonging to multiple groups of 1 class
Sign, so the display information 22 of arbitrary 1 group indicated in the multiple group is configured on display picture 20.Separately
Outside, in the case where carrying out blanket for multiple groups that belong to 1 class with 1 display information 22, such as belong to the group of the cluster
Number is 2 " × 2 ", group number is 3 " × 3 " it thus would be desirable to which the information for indicating the group number for belonging to the cluster is included in display letter
In breath 22.In addition, can also be unfolded when user is to the operation that information 22 is selected is shown made of summing up multiple groups
The multiple group of each display information 22.
In addition, in the label that multiple groups of display information 22 for being judged to belonging to identical registration classification is registered with it to classification
When 21 associated configuration, it is desirable to which the multiple group of display information 22 is configured according to the degree of closeness of group feature.That is, for example as schemed
Shown in 8, it is desirable to which the mutual display information 22 of group more than common ground is arranged close to, the mutual display information 22 of the few group of common ground
It is arranged to separate.Fig. 8, which is shown, will organize the display information 22 of A~D this 4 groups according to group feature close to journey shown in Fig. 4
Example of the degree configuration in the display area of " parent-offspring ".In addition, being determined as that the group more than common ground belongs to different registration classes each other
In other situation, the configuration of each registration classification can also be determined in such a way that the display information 22 of these groups is arranged close to.
The display picture 20 that prompting part 14 shows display device not only prompts the user with the judgement of determination unit 13 as a result, also
User can be used in, operation is modified to the judgement result of determination unit 13.Such as it is as shown in fig. 6, each on display picture 20
Check box 23 is configured near the display information 22 of group, user's check box 23 corresponding to the group for wanting amendment judgement result is beaten
It hooks, thus, it is possible to carry out the amendment of the judgement result to group operation.In addition, user passes through the label on change display picture 20
21 description is also able to carry out the amendment operation to result is determined.It is repaired in addition, display the by the user of picture 20 is utilized
The detailed content of the concrete example just operated is explained below.
Operation receiving unit 15 accepts the operation for having used the user of above-mentioned display picture 20.In the present embodiment, it grasps
The operation for making the user that receiving unit 15 is accepted is that the determination unit 13 for being prompted to user to the display by showing picture 20 is sentenced
Determine the amendment operation of result.The operation content that operation receiving unit 15 is accepted is delivered to update section 16.
Update section 16 is operated according to the amendment that operation receiving unit 15 is accepted, and is updated scheduled inside information processing unit 10
The decision rule DR that storage region is stored.
For example, it is assumed that user has carried out to be judged to belonging to the group (the 1st group) of some (the 1st classification) of multiple registration classifications
The operation (the 1st amendment operation) removed from the 1st classification.In this case, update section 16 is operated according to the 1st amendment, update is sentenced
Establish rules then DR, so that the matching condition of the 1st classification becomes the 1st group of the incongruent condition of group feature.
In addition, it is assumed that user has carried out the behaviour for being appended to the 1st group removed from the 1st classification other classifications (the 2nd classification)
Make (the 2nd amendment operation).In this case, update section 16 is operated according to the 2nd amendment, decision rule DR is updated, so that the 2nd class
Other matching condition becomes the condition that the 1st group of group feature meets.
In addition, it is assumed that user has carried out that the new classification other than multiple registration classifications is specified to remove as from the 1st classification
The 1st group of classification belonged to operation (the 3rd amendment operation).In this case, update section 16 is operated according to the 3rd amendment, update
Decision rule DR, to add the condition that the 1st group of group feature meets newly as the matching condition of the 3rd classification.
In addition, it is assumed that user chase after any one group (the 2nd group) being judged to being not belonging to multiple registration classifications
Add to the operation (the 4th amendment operation) of some (the 1st classification) of multiple registration classifications.In this case, update section 16 is according to the 4th
Amendment operation, updates decision rule DR, so that the matching condition of the 1st classification becomes the condition that the 2nd group of group feature meets.
When updating decision rule DR by update section 16, the judgement of determination unit 13 is based on updated new decision rule
DR is carried out.In addition, the judgement result of the determination unit 13 based on updated new decision rule DR is reflected in display picture 20
On.
Hereinafter, being shown in display device as by the display picture 20 of the composition exemplified in Fig. 6, illustrate that this, which is utilized, shows
Show the amendment by the user operation of picture 20 and operates the concrete example of the update of corresponding decision rule DR with the amendment.This
Outside, in example described below only an example, amendment and decision rule DR to the judgement result of determination unit 13 are more
New method is not limited to the example.
Firstly, as shown in figure 9, user is configured at the display letter of the group D of the display area of " parent-offspring " on display picture 20
It is ticked on check box 23 corresponding to breath 22.In this case, as shown in Figure 10, by the display information 22 of group D showing from " parent-offspring "
Show that region removes, such as is associated with labels 21 such as " new classifications ", and be configured at the display area of " new classification ".
In this case, update section 16 updates decision rule DR, so that the matching of " parent-offspring " that decision rule DR is included
Condition becomes group feature (by adult female 2 and underagefemale 24 groups constituted) incongruent condition of group D.Example
As shown in figure 11, the matching condition of decision rule DR " parent-offspring " for being included is changed to by adult 1 and teenage 1 structure
At this condition.At this point, as shown in figure 11, " new classification " is set as interim registration classification, as " new classification "
The condition that the group feature of group D meets can also be appended in decision rule DR by matching condition.
In addition, for example as shown in figure 12, the label 21 that user is " other " is changed to " family as one of registration classification
The label 21 of race ".The operation example such as can be by selecting the label 21 for thinking change on display picture 20 and directly inputting text
This method is realized.In this case, update section 16 updates decision rule DR, so that " family " that decision rule DR is included
Matching condition becomes the group feature of the group G for the display area for being configured at " other " (by adult female 1 and underagefemale 2
The 3 people's groups constituted) condition that meets.Such as shown in figure 13, the matching condition of decision rule DR " family " for being included is become
More become and this condition is constituted by adult female 1, adult male 0 or 1 and teenage (paying no attention to number).
In addition, for example as shown in figure 14, the label 21 that user is " new classification " is changed to as one of registration classification
" family " label 21.In this case, as shown in figure 15, the display area for showing " family " on picture 20 is expanded, it will
The display information 22 for being configured at the group D of the display area of " new classification " is moved to the display area of " family ".Moreover, update section
16 update decision rule DR, so that the matching condition of " family " that decision rule DR is included, which becomes, is configured at " new group "
The condition that the group feature (by adult female 2 and the underagefemale 24 people's groups constituted) of the group D of display area meets.Such as
As shown in figure 16, the matching condition of decision rule DR " family " for being included is changed to by adult female 1 or more, adult male
Property 0 or 1 and teenage (paying no attention to number) constitute this condition.
In addition, though illustration omitted, but be also possible to user can by display picture 20 by " new classification "
Label 21 be changed to desired class name to register the new classification shown with such alias table.For example, shown in Fig. 10
It shows on picture 20, the label 21 of " new classification " is changed to the label 21 of " mother friend " by user.In this case, update section 16
Setting " mother friend " is as newly-built registration classification, by the group feature of group D (by adult female 2 and 2 groups of underagefemale
At 4 people's groups) condition that meets is appended in decision rule DR as the matching condition of " mother friend ".User can as a result,
The classification for the group that can intuitively imagine is registered using easy operation.
More than in addition, the example for updating decision rule DR according to the operation on display picture 20 is illustrated, still
The decision rule DR that storage region is stored can also be read and be shown in display device according to scheduled operation, it can also be with structure
Title and/or the matching condition etc. of registration classification can be directly corrected as user.For example, being included in decision rule DR
In the case that the matching condition of " parent-offspring " is adult and minor ratio is condition as 1:1, user can also directly by
The matching condition for being somebody's turn to do " parent-offspring " is changed to form this condition by adult 1 and teenage 1.In addition, decision rule DR's is aobvious
Show and/or the amendment operation of user is not limited to the display and/or amendment that are carried out with text, such as can also be as shown in figure 17, makes
Display and/amendment are carried out with the icon of attribute.
Alternatively, it is also possible to be, user can be changed used in the matching condition of each registration classification of decision rule DR
The definition of attribute and/or granularity etc..For example, the classification benchmark of " adult " and " teenage " can also be changed to " 20 years old by user
More than " and " 20 years old discontented ", or it is changed to the classification benchmark of 10 years old increment.
In addition, being shown in picture 20 illustrated by equal in Fig. 6, it is set as the connecing according to group feature of display information 22 of each group
Short range degree come the composition that configures, as long as but indicate the display picture of the judgement result of determination unit 13 show with will be appreciated that by
Which registration classification is each group be classified as, and the group for being classified as identical registration classification has the structure of which type of common ground each other
At, then be not limited to Fig. 6 it is equal illustrated by show the composition of picture 20.Such as can also be as shown in figure 18, it is set as to be determined as
Belong to multiple groups of display information 22 of identical registration classification with the tabular form configuration to put in order corresponding with group feature
The display picture 20 of composition.
In addition, in this case, as shown in figure 18, being also possible to constitute as follows, Display Category list 25, for passing through user
The registration classification selected among category list 25, each group for being judged as belonging to the registration classification is shown with tabular form
Display information 22, the list of categories 25, which is shown, to be associated with the label 21 of each registration classification and is judged as belonging to the registration
The group number of classification.Even if can also be easy to be confirmed with user in the case where as a result, more than the group number for becoming object of classification
Mode prompts the judgement result of determination unit 13.
It shows in picture 20 shown in Figure 18, by being stepped on desired by list of categories 25 with clicking operation etc. to specify
Remember classification, select the registration classification and is unfolded to be judged as belonging to the display information 22 of each group of the registration classification.In addition, passing through
With clicking operation etc. specify some show information 22, selection with corresponding group of the display information 22, for example, being able to carry out and using
The case where showing picture 20 illustrated by Fig. 6 is equal similarly corrects operation.
Figure 19 is the flow chart for indicating the work example of information processing unit 10 of present embodiment described above.In addition,
Since the specific content of each step of Figure 19 is as described above, so appropriate omit detailed description.
When the processing that the flow chart started by Figure 19 indicates, firstly, acquisition unit 11 obtains the group for becoming object of classification
Group information (step S101).The group information that acquisition unit 11 obtains is sent to clustering portion 12.
Then, clustering portion 12 based on use obtained by acquisition unit 11 group information (quantity of the groups of member of structure and
The attribute of each member) indicate each group group feature, carry out as object of classification group point cluster (step S102).By this
Divide cluster, it is 1 that the group for having common group feature is summarized each other.
It is determined that portion 13 takes out the group (cluster) (step S103) for becoming object of classification, by the way that the group is (poly-
Class) group feature compareed with decision rule DR, determine the group (cluster) belong to it is multiple registration classifications which, namely
It is the registration classification (step S104) for becoming the classification destination of the group (cluster).Later, the confirmation of determination unit 13 becomes classification pair
With the presence or absence of the group (step S105) that does not determine in the group of elephant, the group not determined if it exists (step S105: yes), then return step
Later processing is repeated in S103.
On the other hand, whole groups as object of classification are being directed to, at the end of the judgement of determination unit 13 (step S105:
It is no), prompting part 14 prompts the judgement result of determination unit 13 for example by making above-mentioned display picture 20 be shown in display device
Give user (step S106).Then, operation receiving unit 15 is confirmed whether the amendment operation (step S107) for having to result is determined,
In the case where there is amendment operation (step S107: yes), update section 16 operates more according to the amendment that operation receiving unit 15 is accepted
New decision rule DR (step S108).
Later, it until the judgement result of determination unit 13 is corrected for form desired by user, is repeated from step
Processing of the S106 to step S108.Then, when no longer carrying out to the amendment operation for determining result (step S107: no), group
Classification determines and terminates a series of processing.
The information processing unit 10 of present embodiment is useful such as using on the way customer analysis.That is, can will care for
The group of visitor is classified as registration classification, and by the total group number of each registration classification, thus, it is possible to analyze customer with which type of group row
It is dynamic.In addition, if other than above-mentioned group information, acquisition unit 11 also obtain the position of customer, temporal information, conducting wire information,
The information bought information etc., indicate situation or action then also can add up to the group number of each registration classification according to these information.
More than, as enumerated concrete example and being described in detail, in the information processing unit 10 of present embodiment,
Determination unit 13 compares the group feature for becoming the group of object of classification with decision rule DR, determines that the group belongs to multiple registration classes
Which of not, the judgement result of determination unit 13 is prompted to user by prompting part 14.Then, according to user for the judgement knot
The amendment of fruit operates, and update section 16 updates decision rule DR.Therefore, information processing unit 10 according to the present embodiment, can
The definition for reflecting the classification of user's request, can suitably carry out the classification for the group being consistent with purpose.
In addition, in the above description, it has been assumed that information processing unit 10 is stored with the case where single decision rule DR,
But the information processing unit 10 of present embodiment is such as also can store by each shape season and/or moment, weather, event
Condition or multiple decision rule DR by each user etc., based on (information of specified conditions and/or referring to from externally input input information
Determine the User ID etc. of user) carry out the decision rule DR that switch judgement part 13 uses.
For example, it is also possible to cooperate specified specific event, the decision rule DR that switch judgement part 13 uses.If it is
The Mother's Day, then using being applied not only to older group and older is that the group (mother and children) of women is classified as 1 classification,
Also described group is classified as the decision rule DR of the classification of chronologically (children be adult or teenage etc.) of junior.As a result,
Useful customer analysis can be carried out after the marketing strategy for establishing the Mother's Day.In addition, if it is Father's Day, then using not only
For also described group being classified as by older group and older is that the group (father and children) of male is classified as 1 classification
The decision rule DR of the classification chronologically of junior.It is useful thereby, it is possible to be carried out after the marketing strategy for establishing Father's Day
Customer analysis.In addition, in the Mother's Day for father and son, in Father's Day for mothers and sons, due to without to children per year
Age detailed analysis (priority is low) is easier to hold whole tendency so they are not classified as age-based classification.In addition, removing
Other than the Mother's Day, Father's Day, sometimes without the classification for the gender for carrying out parent.
In addition, in marketing corresponding with the events such as the Mother's Day and/or Father's Day, even if children's adult is also classified as sometimes
It is effective that parent-offspring, which goes with, but for example when considering facilities design, it is not necessary that the children of adult and parent are classified as parent
Son is gone with and (is distinguished without going with friend more than adult) etc., in most cases, according to taking on for user, becomes group
The definition of the classification of classification destination is different.Therefore, the decision rule DR used according to user's switch judgement part 13 is also effective
's.
The 2nd embodiment > of <
Then, illustrate the 2nd embodiment.Present embodiment is can to change the group of display picture 20 depending on the user's operation
The configuration of display information 22 etc. example.That is, in the present embodiment, for example, prompting part 14 make to be judged as belonging to it is identical
The display picture 20 (referring to Fig.1 8) of composition made of multiple groups of display information 22 of classification is configured with tabular form is shown in
When display device, keep specified project in the project (for example, gender, number, age etc.) of composition group feature preferential, determines
Display information 22 puts in order.In addition, in the present embodiment, being changed according to the granularity of the project to composition group feature
Operation, clustering portion 12 organized once again point cluster, by its result be reflected in display picture 20.
Figure 20 is the block diagram for indicating functional configuration example of information processing unit 10 of the 2nd embodiment.In this implementation
In mode, operation receiving unit 15 not only carries out the operation of the amendment to the judgement result of determination unit 13, also accepts in composition group feature
Project in specify preferential project operation and/or change composition group feature project granularity operation.It is accepted in operation
In the case that portion 15 has accepted the operation for specifying preferential project in the project of composition group feature, which is passed to
Prompting part 14.In addition, in the case where operation receiving unit 15 has accepted the operation of the granularity of the project of change composition group feature, it will
The operation content passes to clustering portion 12.
It is paid the utmost attention to according to the operation content received from operation receiving unit 15 by user the prompting part 14 of present embodiment
The project of specified group feature determines that the display information 22 of display picture 20 puts in order.In addition, present embodiment is poly-
According to the operation content received from operation receiving unit 15, that is organized once again divides cluster in alanysis portion 12.Moreover, in a point cluster
Result exist change when, by the result be reflected in display picture 20 on.
Hereinafter, for present embodiment user operation and it is corresponding display picture 20 variation concrete example into
Row explanation.In addition, only an example, the operating method of the composition and/or user that show picture 20 do not limit following explanation
In the example.
In the present embodiment, prompting part 14 for example makes the display picture 20 of composition shown in Figure 21 be shown in display dress
It sets.Show that picture 20 is to show that picture 20 has been added for carrying out in composition group feature shown in Figure 18 shown in Figure 21
The operation of preferential project is specified in project and/or changes the item label of the operation of the granularity of the project of composition group feature
(" gender " label 26, " number " label 27 and " age " label 28) and for carrying out setting the preferential suitable of multiple projects
The composition of the "+" button 29 of the operation of position.Item label become in order to determine display putting in order for information 22 and referring to this
The differentiation (crew/adult/teenage) of mesh value and can specify the putting in order of the display information 22 based on the project (rise it is suitable/
Yield and pledge allegiance to) composition.In addition it is also possible to be, it, can referring to distinguishing in the same manner as the change of the granularity of aftermentioned project for item value
It changes depending on the user's operation.
Firstly, being illustrated for the example of the display information 22 for the group for determining display picture 20 to put in order.Such as
As shown in figure 21, in the state that the display information 22 for being judged as belonging to each group of " parent-offspring " is unfolded, user is clicked
The operation of " △ (the rising suitable) " of " adult " of " gender " label 26.In this case, determining each group for being judged as belonging to " parent-offspring "
Display information 22 put in order so that the display information 22 of the group of the male comprising adult is configured upper.
In addition, for example as shown in figure 22, in the state that the display information 22 for being judged as belonging to each group of " parent-offspring " is unfolded
Under, user is clicked the operation of " ▽ (the yielding and pledge allegiance to) " of " adult " of " gender " label 26.In this case, determining to be judged as
Belong to putting in order for the display information 22 of each group of " parent-offspring ", so that the display information 22 of the group of the women comprising adult is matched
It sets upper.At this point, as shown in figure 22, the group of the women comprising adult there are it is multiple in the case where, for example, it is also possible to according to
The priority picks of predetermined sundry item, or keep specified sundry item in the operation of last time preferential, determine packet
Multiple groups of the display information 22 of women containing adult puts in order.
In addition, for example as shown in figure 23, in the state that the display information 22 for being judged as belonging to each group of " parent-offspring " is unfolded
Under, user is clicked the operation of " ▽ (the yielding and pledge allegiance to) " of " crew " of " number " label 27.In this case, determining to be judged as
Belong to putting in order for the display information 22 of each group of " parent-offspring ", so that the display information 22 of the few group of all numbers configures
Upper.At this point, as shown in figure 23, in the case where there is all identical group of number, for example, it is also possible to according to true in advance
The priority picks of fixed other projects, or keep other projects specified by the operation of last time preferential, determine all people
The display information 22 of identical group of number puts in order.
In addition, for example as shown in figure 24, in the state that the display information 22 for being judged as belonging to each group of " parent-offspring " is unfolded
Under, user click the operation of the "+" button 29.In this case, the dialog box of the priority picks for setting multiple projects
30 pop-up displays.Also, when user sets the priority picks of multiple projects using the dialog box 30, according to set items
Purpose priority picks determine putting in order for the display information 22 for being judged as belonging to each group of " parent-offspring ".In addition, for specifying
The dialog box 30 of the priority picks of multiple projects can also be shown as the picture different from picture 20 is shown.
In addition, in the above example, by the item label of projects to composition group feature and/or to the "+" button 29
Operation determines putting in order for display information 22, however, it can be, user can directly specify for determining display information 22
The rule to put in order, such as " by male → women arrangement ", " sequence arrangement from less to more per capita " etc..
In addition, in the example above, according to the row of the display information 22 of the user's operation decision group on display picture 20
Column sequence, but not limited to this.For example, it is also possible to which the history of the amendment operation of the judgement result to past determination unit 13 is remembered
Record is log, makes the project selected based on the history that the amendment operates (for example, with amendment operation correspondingly in decision rule DR
Matching condition in the project that is frequently changed) preferentially, determine putting in order for display information 22.
Then, illustrate the example that the granularity to the project of composition group feature changes.Such as shown in figure 25, Yong Hujin
Double-click or the operation of right click " age " label 28 are gone.In this case, the project at " age " for changing composition group feature
40 pop-up display of dialog box of granularity.Also, user uses the dialog box 40, by the grain of the project at " age " of composition group feature
When degree is for example changed to " adult/teenage " from " 10 years old increment ", which is passed into clustering portion 12.The situation
Under, the granularity that clustering portion 12 is based on the project at " age " is changed to each group of " adult/teenage " from " 10 years old increment "
Group feature, point cluster organized once again.As a result, for example, by the group being made of more than 20 years old women and discontented 10 years old women, 30
It is 1 that the group that more years old women and discontented 10 years old women are constituted summarizes as the group being made of adult female and underagefemale
Cluster, as a result, as shown in figure 26,22 integration of display information of these groups is shown for 1 on display picture 20.
In addition, in the example above, illustrating what the granularity at " age " in the project to composition group feature changed
Example, but the project that can change granularity is without being limited thereto.For example, if being " number ", then consider from the counting side of 1 increment
Formula is changed to the counting mode of 10 increments, is distinguished with more numbers (such as 10 or more) and few number (being, for example, less than 10)
Deng, also can will as " number " granularity as change object.
In addition, prompting part 14 can also make by above-mentioned user's operation specify group feature preference and/or differentiation,
The granularity etc. of the project of the group feature of change is shown on display picture 20 or other pictures prompt the user with.In addition, the feelings
It under condition, such as can also show the guide look of the project of group feature, make the granularity etc. of wherein current preference and/or projects
Prominent (high light) etc. prompts the user with the granularity of current preference and/or projects.The behaviour of user is improved as a result,
The property made.
Figure 27 is the flow chart for indicating the work example of information processing unit 10 of present embodiment described above.In addition,
Figure 27 slave step S201 to processing (the 1st embodiment party slave step S101 to step S108 of the processing of step S208 and Figure 19
The processing of formula) equally, and the description is omitted.
In the present embodiment, in step S207, it is being judged to not carrying out repairing to the judgement result of determination unit 13
In the case where positive operation (step S207: no), operation receiving unit 15 is confirmed whether the display letter for having on change display picture 20
The operation (step S209) of breath 22 to put in order.Then, there is the arrangement for changing the display information 22 on display picture 20
When operation (the step S209: yes) of sequence, prompting part 14 determines putting in order for display information 22 according to the operation, is back to step
Rapid S206, the display picture 20 that putting in order after being changed by making is configured with display information 22 are shown in display device, to
The judgement result of user's prompt determination unit 13.
In addition, there is no the operation of change display information 22 to put in order (step S209: no), operation
Receiving unit 15 is confirmed whether the operation (step S210) that there is the granularity of the project of change composition group feature.Then, there is change
When the more operation of the granularity of the project of composition group feature (step S210: yes), it is back to step S202, clustering portion 12 is based on
The granularity of project be changed after group feature, organized once again point cluster.
Later, it until the judgement result of determination unit 13 is corrected for the desired mode of user, is repeated from step
The processing of rapid S206 to step S210.Moreover, without the amendment operation (step S207: no) to result is determined, also no longer
(step when changing the operation of display information 22 to put in order and changing the operation of the granularity of the project of composition group feature
S209: no, step S210: no) it, determines the classification of group and terminates a series of processing.
As described above, the information processing unit 10 of present embodiment can change display depending on the user's operation
The granularity etc. of the project of the configuration and/or composition group feature of the display information 22 of the group of picture 20, therefore, in addition to above-mentioned
1 embodiment is equally able to reflect the definition of the classification of user's requirement and suitably carries out other than the classification for the group being consistent with purpose,
User can also suitably change on one side group display information 22 sequence, summarize, on one side confirmation determination unit 13 judgement as a result,
For example, also it can be found that new group (part).
< supplementary explanation >
The information processing unit 10 of above-mentioned each embodiment for example can be by using general computer as base
This hardware and realize.That is, the function in each portion of above-mentioned information processing unit 10 can be by making to be equipped on general computer
Processor execute program and realize.At this point, information processing unit 10 both can be by above-mentioned program by being pre-installed in meter
It is realized in calculation machine, is stored in the storage mediums such as CD-ROM, or issue above-mentioned program via network, and
By the way that the program is suitably mounted to realize in computer.
Figure 28 is the block diagram for indicating the hardware configuration example of information processing unit 10 of embodiment.Information processing unit 10
As shown in figure 28, having the hardware as common computer to constitute, which has: CPU (Central
Processing Unit: central processing unit) etc. processors 101, RAM (Random Access Memory: random access is deposited
Reservoir) and/or the memories 102 such as ROM (Read Only Memory: read-only memory), HDD (Hard Disk Drive: hard
Disk drive) and/or the display devices such as the storage such as SSD (Solid State Drive: solid state hard disk) equipment 103, liquid crystal display panel
The 106 and/or equipment I/F104 for being connect with equipment as the input equipments 107 such as keyboard, mouse, touch panel, with dress
Set the external communication I/F105 communicated and the bus 108 for connecting each portion.
In the case where the hardware as information processing unit 10 has Figure 28 is constituted, deposited for example, processor 101 utilizes
Reservoir 102 can be realized above-mentioned each portion's (acquisition unit by reading and executing the program for being stored in storage equipment 103 etc.
11, clustering portion 12, determination unit 13, prompting part 14, operation receiving unit 15 and update section 16) function.
It is further possible to which part or all by the function in each portion of above-mentioned information processing unit 10 passes through ASIC
(Application Specific Integrated Circuit: specific integrated circuit) and/or FPGA (Field-
Programmable Gate Array: field programmable gate array) etc. dedicated hardware (dedicated processor and it is non-universal
Processor) it realizes.Alternatively, it is also possible to use multiple processors to realize the function in above-mentioned each portion.
In addition, the information processing unit 10 of embodiment is also configured to using multiple stage computers, and will be above-mentioned each
The information processing system that the function in portion is dispersed to multiple stage computers to realize.In addition, the information processing unit 10 of embodiment
It can be the virtual machine to work on cloud system.
It this concludes the description of embodiments of the present invention, but embodiment described herein is to be prompted as an example
Embodiment, be not intended to limit invention range.New embodiment described herein can be come with various other ways
Implement, is able to carry out various omissions, displacement, change without departing from the spirit of the invention.Embodiment described herein
And its deformation be included in invention range and/or main idea in, and be included in the invention described in the claims and with its equalization
Range in.
Furthermore it is possible to summarize above-mentioned embodiment for technical solution below.
Technical solution 1
A kind of information processing unit, has: acquisition unit, obtains group information, and the group information includes the groups of member's of structure
The attribute of quantity and each member；Determination unit, by the group feature for using the group information to indicate with determined it is every in multiple classifications
The decision rule of the matching condition of a classification is compareed, and determines that described group belongs to which of the multiple classification；Prompt
Portion prompts the judgement result of the determination unit；And update section, it is operated according to the amendment to the suggested judgement result,
Update the decision rule.
Technical solution 2
In above-mentioned technical proposal 1, the update section, according to the 1st class that will be judged as belonging in the multiple classification
Other 1st group the 1st amendment operation removed from the 1st classification, updates the decision rule, so that the 1st classification
Matching condition becomes described 1st group of the incongruent condition of group feature.
Technical solution 3
In above-mentioned technical proposal 2, the update section is also according to that described 1st group is appended in the multiple classification
2nd amendment operation of 2 classifications, updates the decision rule, so that the matching condition of the 2nd classification becomes described 1st group
The condition that meets of group feature.
Technical solution 4
In above-mentioned technical proposal 2, the update section also according to the 3rd classification specified other than the multiple classification as
3rd amendment operation of classification belonging to described 1st group, updates the decision rule, newly to add the 1st group of the group character symbol
The condition of conjunction as the 3rd classification matching condition.
Technical solution 5
In any of above-mentioned technical proposal 1 to 4, the prompting part prompt will be judged as being not belonging to the multiple
Any one 2nd group of classification with indicate it is that the label of this case that group other than the multiple classification has carried out associated institute
State judgement result.
Technical solution 6
In above-mentioned technical proposal 5, the update section is according to the 1st that described 2nd group is appended in the multiple classification
4th amendment operation of classification, updates the decision rule, so that the matching condition of the 1st classification is as described 2nd group
The condition that group feature meets.
Technical solution 7
In any of above-mentioned technical proposal 1 to 6, the prompting part shows the display picture for being configured with display information
In display device, the display information expression is associated with the respective label of the multiple classification and is judged as belonging to of all categories
Group.
Technical solution 8
In above-mentioned technical proposal 7, the display information include the image that shines upon of each member of composition group or indicate it is each at
The icon of member and describe at least one party in the text information of described group of feature.
Technical solution 9
In above-mentioned technical proposal 7 or 8, be also equipped with clustering portion, the clustering portion be based on described group of feature into
Point cluster of row group, the prompting part makes the display picture for showing that information summarizes for multiple groups that belong to 1 class with 1
It is shown in the display device.
Technical solution 10
In above-mentioned technical proposal 9, the clustering portion is according to being formed in point described group of feature used in cluster
Project the operation that changes of granularity, point cluster organized once again.
Technical solution 11
In any of above-mentioned technical proposal 7 to 10, the prompting part makes the degree of closeness according to described group of feature
The display picture for being configured with multiple groups of display information for being judged as belonging to the same category is shown in the display device.
Technical solution 12
In any of above-mentioned technical proposal 7 to 10, the prompting part makes suitable with arrangement corresponding with described group of feature
The display picture that the tabular form of sequence is configured with multiple groups of display information for being judged as belonging to the same category is shown in
The display device.
Technical solution 13
In above-mentioned technical proposal 12, the prompting part keeps the appointed project in the project for constituting described group of feature excellent
First and described in decision put in order.
Technical solution 14
In above-mentioned technical proposal 12, the prompting part makes to grasp in the project for constituting described group of feature based on the amendment
The project of the history selection of work preferentially and described in decision puts in order.
Technical solution 15
In any of above-mentioned technical proposal 1 to 14, multiple decision rules are stored, are based on from externally input defeated
Enter information and switches the decision rule that the determination unit uses.
Technical solution 16
A kind of information processing method, comprising: obtaining step obtains the quantity comprising the groups of member of structure and the category of each member
The group information of property；Determination step by the group feature for using the group information to indicate and has determined each classification in multiple classifications
The decision rule of matching condition compareed, determine that described group belongs to which of the multiple classification；Prompt step mentions
Show the judgement result of the determination step；Step is updated, is operated according to the amendment to the suggested judgement result, institute is updated
State decision rule.
Technical solution 17
A kind of recording medium has recorded program, and described program is for making computer realize following functions: the function of acquisition unit
Can, obtain the group information comprising the quantity of the groups of member of structure and the attribute of each member；The function of determination unit will use described group
The group feature that information indicates is compareed with the decision rule of the matching condition of each classification determined in multiple classifications, is determined
Described group belongs to which of the multiple classification；The function of prompting part prompts the judgement result of the determination unit；Update section
Function, according to the suggested judgement result amendment operate, update the decision rule.
Claims (10)
1. a kind of information processing unit, has:
Acquisition unit obtains the group information comprising the quantity of the groups of member of structure and the attribute of each member；
Determination unit, by the matching condition of the group feature for using the group information to indicate and each classification determined in multiple classifications
Decision rule compareed, determine that described group belongs to which of the multiple classification；
Prompting part prompts the judgement result of the determination unit；And
Update section operates according to the amendment to the suggested judgement result, updates the decision rule.
2. information processing unit according to claim 1,
The update section,
Carried out by be judged as belonging to the 1st group of the 1st classification in the multiple classification removed from the 1st classification the
In the case where 1 amendment operation, the decision rule is updated, so that the matching condition of the 1st classification is as described 1st group
The group incongruent condition of feature,
In the case where having carried out the 2nd amendment operation by the 1st group of the 2nd classification being appended in the multiple classification, more
The new decision rule, so that the matching condition of the 2nd classification becomes the condition that the 1st group of the group feature meets,
Specify the 3rd classification other than the multiple classification as the 3rd amendment behaviour of classification belonging to described 1st group
In the case where work, the decision rule is updated, to add condition that the 1st group of the group feature meets newly as the described 3rd
The matching condition of classification.
3. information processing unit according to claim 1 or 2,
The 2nd group that is judged as being not belonging to any one of the multiple classification is described with expression by the prompting part prompt
The label of this case that group other than multiple classifications carried out it is associated it is described determine as a result,
The update section is being carried out the 4th amendment operation of the 2nd group of the 1st classification being appended in the multiple classification
In the case of, the decision rule is updated, is met so that the matching condition of the 1st classification becomes the 2nd group of the group feature
Condition.
4. information processing unit according to any one of claim 1 to 3,
The display picture that the prompting part makes to be configured with display information is shown in display device, the display information expression with it is described
Multiple respective labels of classification are associated with and are judged as belonging to group of all categories.
5. information processing unit according to claim 4,
The display information includes the image that shines upon of each member of composition group or indicates the icon of each member and describe described group
At least one party in the text information of feature.
6. information processing unit according to claim 4 or 5,
It is also equipped with clustering portion, the cluster of the clustering portion based on described group of feature group,
The prompting part make with 1 show information summarize belong to 1 class multiple groups of the display picture be shown in it is described
Display device.
7. information processing unit according to claim 6,
The behaviour that the clustering portion is changed according to the granularity to the project for being formed in described group of feature used in cluster
Make, the cluster organized once again.
8. information processing unit according to any one of claims 4 to 7,
The prompting part, which makes to be configured with according to the degree of closeness of described group of feature, is judged as belonging to multiple groups of the same category
It shows the display picture of information or is configured with the tabular form to put in order corresponding with described group of feature and is determined
The display device is shown in belong to the display picture of multiple groups of display information of the same category.
9. a kind of information processing method, comprising:
Obtaining step obtains the group information comprising the quantity of the groups of member of structure and the attribute of each member；
Determination step, by the matching item of the group feature for using the group information to indicate and each classification determined in multiple classifications
The decision rule of part is compareed, and determines that described group belongs to which of the multiple classification；
Prompt step prompts the judgement result of the determination step；And
Step is updated, is operated according to the amendment to the suggested judgement result, updates the decision rule.
10. a kind of recording medium has recorded program, described program is for making computer realize following functions:
The function of acquisition unit obtains the group information comprising the quantity of the groups of member of structure and the attribute of each member；
The function of determination unit, by of the group feature for using the group information to indicate and each classification determined in multiple classifications
Decision rule with condition is compareed, and determines that described group belongs to which of the multiple classification；
The function of prompting part prompts the judgement result of the determination unit；And
The function of update section operates according to the amendment to the suggested judgement result, updates the decision rule.
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| Application Number | Priority Date | Filing Date | Title |
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| JP2018-042903 | 2018-03-09 | ||
| JP2018042903A JP2019159553A (en) | 2018-03-09 | 2018-03-09 | Information processing apparatus, information processing method, and program |
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| CN110245542A true CN110245542A (en) | 2019-09-17 |
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| CN201810994376.7A Pending CN110245542A (en) | 2018-03-09 | 2018-08-29 | Information processing unit, information processing method and recording medium |
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| JP (1) | JP2019159553A (en) |
| CN (1) | CN110245542A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113361063A (en) * | 2020-03-06 | 2021-09-07 | 横河电机株式会社 | Information processing apparatus, information processing method, and computer-readable medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111638897B (en) * | 2020-06-02 | 2023-09-26 | 驭新智行科技(宁波)有限公司 | System updating method, device, terminal equipment and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1781286A (en) * | 2003-06-10 | 2006-05-31 | 思科技术公司 | Method and apparatus for packet classification and rewriting |
| CN104462448A (en) * | 2014-12-15 | 2015-03-25 | 微梦创科网络科技（中国）有限公司 | Group name classification method and device |
| WO2016019973A1 (en) * | 2014-08-04 | 2016-02-11 | Bitmonlab S.L.U | Method for determining stationary crowds |
| CN107770049A (en) * | 2017-10-23 | 2018-03-06 | 林楚莲 | A kind of invited user obtains the method and system of group information |
-
2018
- 2018-03-09 JP JP2018042903A patent/JP2019159553A/en active Pending
- 2018-08-29 CN CN201810994376.7A patent/CN110245542A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1781286A (en) * | 2003-06-10 | 2006-05-31 | 思科技术公司 | Method and apparatus for packet classification and rewriting |
| WO2016019973A1 (en) * | 2014-08-04 | 2016-02-11 | Bitmonlab S.L.U | Method for determining stationary crowds |
| CN104462448A (en) * | 2014-12-15 | 2015-03-25 | 微梦创科网络科技（中国）有限公司 | Group name classification method and device |
| CN107770049A (en) * | 2017-10-23 | 2018-03-06 | 林楚莲 | A kind of invited user obtains the method and system of group information |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113361063A (en) * | 2020-03-06 | 2021-09-07 | 横河电机株式会社 | Information processing apparatus, information processing method, and computer-readable medium |
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|---|---|
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