WO2014137000A1 - Procédé pour établir un indice de données, et appareil correspondant - Google Patents

Procédé pour établir un indice de données, et appareil correspondant Download PDF

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Publication number
WO2014137000A1
WO2014137000A1 PCT/KR2013/001764 KR2013001764W WO2014137000A1 WO 2014137000 A1 WO2014137000 A1 WO 2014137000A1 KR 2013001764 W KR2013001764 W KR 2013001764W WO 2014137000 A1 WO2014137000 A1 WO 2014137000A1
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data
index
user
behavior
determining
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PCT/KR2013/001764
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English (en)
Korean (ko)
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심성화
김형석
전형주
김형은
정웅경
육은정
노명호
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주식회사 랭크웨이브
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Priority to PCT/KR2013/001764 priority Critical patent/WO2014137000A1/fr
Publication of WO2014137000A1 publication Critical patent/WO2014137000A1/fr

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    • G06Q50/60—
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Definitions

  • the present invention relates to a data index setting method and apparatus, and more particularly, to a method and apparatus for setting an index of data using an action index for data uploaded in a network service and an influence index in a network service will be.
  • the present invention is provided a method and apparatus for setting an index of data using an action index according to a response behavior of another user to data uploaded to a network service and a user influence index in a network service Furthermore, the present invention is to provide a method and apparatus for providing data with a higher data index in preference.
  • a method of setting a data index of data uploaded to a network service by a first user includes verifying a behavior of a second user with respect to data, Extracts a predetermined value, adds a probability related to the occurrence of the behavior to a predetermined value to determine an action index, and determines a data index of the data based on the action index.
  • a method of setting a data index of data uploaded to a network service by a first user comprising: confirming a behavior of a second user with respect to data; Determines a behavior index for a behavior of the second user based on a preset value and a predetermined weight, determines a data exponent of the data based on the behavior index, do.
  • a method of setting a data index of data uploaded to a network service by another first user comprising: confirming a second user's behavior with respect to data; determining an influence index of the second user; , Determines the behavior index for the behavior of the second user, and determines the data exponent of the data based on the influence index and the behavior index.
  • the present invention it is possible to accurately determine data that can increase the user's interest by setting the data index using the response action of the other party to the uploaded data and / or the influence index of the other party.
  • the user can receive data that all users are interested in, without exposure to meaningless data.
  • FIG. 1 is a flowchart illustrating a method of setting a data index of data uploaded to a network service according to an exemplary embodiment of the present invention.
  • Figs. 2 to 5 are views showing respective histograms for Tables 2 to 5. Fig.
  • FIG. 6 is a flowchart illustrating a method of setting a data index of data uploaded to a network service according to another embodiment of the present invention.
  • FIG. 7 is a diagram illustrating an example of an interface for displaying uploaded data according to a data order according to an embodiment of the present invention.
  • FIG. 8 is a block diagram illustrating an apparatus for setting a data index of data uploaded to a network service according to an exemplary embodiment of the present invention.
  • a method of setting a data index of data uploaded to a network service by a first user includes confirming a behavior of a second user with respect to the data; Extracting a preset value for an action of the second user; Determining a behavior index by adding a probability associated with the behavior occurrence to the preset value; And determining a data exponent of the data based on the behavior index.
  • a method of setting a data index of data uploaded to a network service by a first user includes confirming a behavior of a second user with respect to the data; Extracting a preset value for an action of the second user; Adding a preset weight to the preset value; Determining an action index for the action of the second user based on the predetermined value and a predetermined weight; And determining a data exponent of the data based on the behavior index.
  • a method of setting a data index of data uploaded to a network service by a first user includes confirming a behavior of a second user with respect to the data; Determining an influence index of the second user; Determining an action index for an action of the second user; And determining a data index of the data based on the influence index and the behavior index.
  • the step of determining the influence index of the second user comprises the steps of: extracting a previous influence index of the stored second user; Determining a data index of data uploaded by the second user up to a predetermined point in time; And determining an influence index of the second user based on the previous influence index of the second user and the data index of the data uploaded by the second user.
  • the determining the behavior index for the action of the second user comprises: extracting a preset value for the action of the second user; Adding a preset weight to the preset value; And determining an action index for the action of the second user based on the predetermined value and a predetermined weight.
  • the determining the behavior index for the action of the second user comprises: extracting a preset value for the action of the second user; And determining a behavior index by adding a probability associated with the behavior occurrence to the preset value.
  • the method of setting a data index may further include determining a ranking of the data according to the determined data index.
  • the data index setting method comprises: ranking the data according to the determined data index; And displaying the uploaded data in priority according to the determined data rank.
  • an apparatus for setting data ranking of data uploaded to a network service by a first user includes: a communication unit for receiving information on a behavior of a second user with respect to the data from the network service; A storage unit for storing a predetermined value for an action of the second user; And a control unit for extracting a preset value for the behavior of the second user from the storage unit, determining a behavior index by adding a probability related to the behavior occurrence to the preset value, And a control unit for determining a data index.
  • an apparatus for setting a data index of data uploaded to a network service by a first user includes: a communication unit for receiving information on a behavior of a second user with respect to the data from the network service; A storage unit for storing a predetermined value for an action of the second user; And a control unit for extracting a preset value for the behavior of the second user from the storage unit, adding a preset weight to the preset value, And a controller for determining an action index, determining a data index of the data based on the action index, and determining a rank of the data according to the determined data index.
  • an apparatus for setting a data index of data uploaded to a network service by a first user includes: a communication unit for receiving information on a behavior of a second user with respect to the data from the network service; A storage unit for storing a previous influence index of the second user; And a control unit for extracting a previous influence index of the second user stored in the storage unit and determining a data index of data uploaded by the second user up to a predetermined time point, 2) determining an influence index of the second user based on the data index of the data uploaded by the user, determining an action index for the behavior of the second user, and based on the influence index and the behavior index, And a control unit for determining a data index of the data.
  • FIG. 1 is a flowchart illustrating a method of setting a data index of data uploaded to a network service according to an exemplary embodiment of the present invention.
  • a device for setting a data index of data uploaded to a network service (hereinafter referred to as a 'data index setting device' 2 Check the user's behavior.
  • the data index setting device confirms the behavior of the second user with respect to data uploaded by the first user to the network service to which the first user is subscribed or registered.
  • a user means a user who registers or subscribes to at least one network service and uses the service.
  • the network service may be a social network service.
  • the data index setting device exists separately from the network service to which the user subscribes. Data refers to all entities that are exchanged between a user and a user in a network service.
  • the data may be information, news, images, video, URL, location information, and so on.
  • An action of a user means a behavior of a user performed in a network service. Examples of user actions include, but are not limited to, writing on a network service, such as Facebook, commenting on writing, clicking on "like" clicks, uploading data such as images or video, sharing on uploaded data, Service tweets, tweets about other tweets, and so on.
  • the above user action is also an example, but is not limited thereto.
  • the behavior of the first user means that the first user uploads the data to the network service. In the example of the above user action, writing, data upload, and tweet can be regarded as the actions of the first user.
  • the action of the second user means an action of responding to the action of the first user. That is, the action of the second user is an action of responding to the data uploaded by the first user.
  • a comment on a writing, a 'liking' click, a sharing on uploaded data, and a retweet can be regarded as a second user's action.
  • the data exponent setting device can use the access token of at least one network service to which the user is subscribed to grasp the user's activity in the network service, that is, the behavior and the behavior of another user with respect to the behavior of the user.
  • the data exponent setting device may use the access token to access the resources of the network service to which the user subscribes.
  • the access token is used to request the network service API on behalf of the user.
  • Data index setting Various information regarding the user in the network service can be obtained.
  • An example of a network service, Facebook is taken as an example. For Facebook, it provides OAuth-based Open API.
  • the key to OAuth authentication is to have the user enter his or her ID and password on Facebook pages, and if the username and password match, issue an access token instead.
  • the issued access token can also be retrieved at any time when the user desires. If you do not use the OAuth method, when you create an interlocking page to log in to Facebook, you enter the user's Facebook ID and password within the network service you want to connect to and use the Server to Server interface And confirms whether the ID and the password are correct.
  • OAuth OAuth
  • the problem is that since the user's password can be obtained from the network service to be interlocked, a security problem arises, so that the trust of the interworking service must be based on, and the authentication information The method is also unclear. To solve this problem, the user's ID and password are entered on the service page provided by Facebook, and instead, an encrypted token is issued to use the Open API.
  • the access token contains information about the user being authenticated, along with information about which APIs are accessible, and in some cases, setting the token to invalid so that it is no longer usable. If the user directly enters the ID and password on the page in Facebook and authenticates and has the issued access token, the following information will be accessible.
  • Examples of information that can be accessed on Facebook include 'accounts' information, which is page information held by an account, 'activities' information, which is profile information of an activity, 'adaccounts', which is advertisement management account information, , 'Apprequests' information of app request information, 'books' information of a book, 'checkins' information of a region based check in, 'cover' information of a photograph used in a cover, 'events' Friend "information," friendrequests ", friend information, and friend information, which are information of the family, which is family information, family information, activity information of the friend, 'friends' information about a game, 'games' information about a game, 'groups' information about group information on Facebook, 'home' information about postings occurring on my network, information about 'inbox' , Tube Links' information, 'movie' information, which is profile information about the movie, 'profile' information about music, 'interest' information,
  • the data index setting apparatus can confirm the behavior of the first user and the behavior of the second user by using some or all of the information accessible by using the access token as described above.
  • the data index setting device accesses the network service periodically or aperiodically to receive information, and based on this, confirms the behavior of the users and obtains the influence index and the data index to be described below.
  • the data exponent setting device determines the behavior index for the behavior of the second user.
  • the behavior index is a value set for a response behavior to a user action.
  • Equation 1 is an equation for calculating the behavior index.
  • Equation (1) SA () denotes an action index, and x denotes a second user who has performed an action. Also, r indicates the number of times the user has made a comment, l indicates whether or not the user likes the user, i indicates the time at which the second user starts the first activity, and s indicates whether or not the user is sharing.
  • the action of responding to an action of a certain user expressed in Equation (1) is merely an example, but is not limited thereto. It can be applied to various response behaviors according to the service aspect of the network service.
  • the behavior index may be determined based on a preset value according to an aspect of the response behavior.
  • the equation for calculating the behavior index is shown in Equation (2).
  • the behavior index is the sum of predetermined values according to an aspect of the response behavior.
  • the preset value is only an example, and other settings can be made depending on the behavior index provider. In this case, for example, if the second user's action with respect to the uploaded data of the first user is only 'shared with' the likelihood, the action index is 2 (1 + 1).
  • the behavior index may be obtained by weighting a predetermined value according to an aspect of the response behavior.
  • the equation for calculating the behavior index is shown in Equation (3).
  • Equation (3) is obtained by adding a weight to a predetermined value in Equation (2).
  • a, b, c, and d are weighting coefficients. The weights can be set differently depending on the setting of the provider providing the behavior index.
  • the behavior index may be obtained by adding a probability associated with the occurrence of a behavior to a predetermined value according to an aspect of the response behavior.
  • the equation for calculating the behavior index is shown in Equation (4).
  • K 1 to k 4 are weights for respective probability items.
  • the weight for this probability item can also be changed according to the setting of the configurator.
  • E RE (r) represents the probability of running comment is more than a predetermined number of
  • E LK (l) denotes the probability of the "likes”
  • E RT (t) is the probability that the second user's behavior in a given time
  • E SH (s) represents the probability of sharing.
  • Equation (4) may be weighted according to each mode of action as in Equation (3).
  • the data exponent setting device calculates the behavior index by averaging the probability of the user having the access token.
  • probability is obtained by extracting information on an action and using a normal distribution.
  • the normal distribution is only one example of obtaining the probability, and there is no limit to the method of obtaining the probability. If the user's behavior is more than a certain number of times, the probability distribution to perform the behavior is a normal distribution.
  • the probability density function can be assumed to be a Gaussian function. Then, when the average value and the standard deviation or the variance value are obtained, the probability of an action can be estimated. Equation (5) is a Gaussian function which is a probability density function.
  • Equation (5) f x () represents a Gaussian function, x represents a random variable, and ⁇ represents an average ⁇ 2 .
  • the behavior index can be obtained by using the highest probability among the probabilities and the probabilities related to the occurrence of the behavior to predetermined values according to the mode of the response behavior.
  • the equation for calculating the behavior index is shown in Equation (6).
  • f RE when (r) from the second user and only the number of times when a comment highest among only the probability of r m, only a few comments than max commented the k 1 ⁇ E RE (r) is, otherwise, is the k 1 ⁇ (M RE (r ) + M RE (r) -E RE (r)).
  • M RE (r) represents the highest probability of the probability of a comment month.
  • max which is the highest probability among the time of the second user's commenting in f RT (i)
  • k 3 ⁇ (M RT + M RT -E RT Otherwise k 3 ⁇ E RT (i).
  • M RT represents the highest probability of commenting time.
  • f LK (l) and f SH (s) are the same as in Equation (4).
  • Table 1 is a table showing the number of actions that the second users A, B, C, and D made a comment, which is a response to the upload data of the first user.
  • Tables 2 to 5 are tables for the comment probabilities of A, B, C, and D based on Table 1. Referring to Tables 2 to 5, probability density according to the number of actions, frequency, and frequency of each of the users A, B, C, and D is shown.
  • Table 2 shows the probability density for the behavior of A. As shown in Table 1, the average number of A actions is 0.35, and the standard deviation is 0.5722762, so that the probability density is obtained as shown in Table 2. Referring to Table 2, the probability that A creates two comments on the behavior of the first user is 1.09%.
  • Table 3 shows the probability density of B's behavior. Referring to Table 1, the average number of B actions is 0.3666667, and the standard deviation is 0.5153208, so that the probability density is obtained as shown in Table 3. Referring to Table 3, the probability of B making a comment on the behavior of the first user is 36.37%.
  • Table 4 shows the probability densities for C's behavior. As shown in Table 1, the average number of C actions is 1.8 and the standard deviation is 0.8124038, so that the probability density is obtained as shown in Table 4. Referring to Table 4, the probability that C will make three comments on the behavior of the first user is 16.49%.
  • Table 5 shows the probability density for the behavior of D. Referring to Table 1, the average number of D behaviors is 0.3333333 and the standard deviation is 0.505525, so that the probability density is obtained as shown in Table 5. Referring to Table 5, the probability that D will make one comment on the behavior of the first user is 33.07%.
  • Figs. 2 to 5 are views showing respective histograms for Tables 2 to 5. Fig.
  • FIG. 3 is a histogram 300 of the probability density for the behavior of the second user B
  • FIG. 4 is a histogram of the probability density of the second user C
  • FIG. 5 is a histogram 500 of the probability density for the behavior of the second user D
  • FIG. 2 to 5 Freq 201 to 501 indicate the frequency of comments
  • probability densities 202 to 502 represent probability density according to frequency and frequency.
  • the vertical axis on the left side is the axis related to the probability density
  • the vertical axis on the right side is the axis corresponding to the frequency number.
  • Table 6 is a table of the responses of other users to the data uploaded by the user for a predetermined period, that is, comments. In Table 6, it is assumed that the users A, B, C, and D have uploaded 20 pieces of data.
  • E RE1 () subscript 1 in SA 1 refers to data 1.
  • the probability density E RE1 (A, 2) is 0.010918535, where A replies twice to one piece of data.
  • C gives one comment to one piece of data.
  • the probability density E RE1 (C, 1) it is 0.302392542, and the table you see the 5, D two times a month, the probability comment on one of the data density E RE1 (D, 2) is 0.003442479.
  • the data exponent setting device determines the data exponent of the uploaded data based on the behavior index.
  • the data index setting device substitutes the behavior index into a predetermined formula to obtain a data index (value).
  • Equation (7) is an example of a formula for obtaining a data index.
  • DV (N) in DV (N) represents a data index and N represents data created by the first user.
  • x denotes a set of users who responded to N data. From Equation (7), it can be seen that the data index is calculated by summing the behavior index of the second user's response behavior to the first user's behavior.
  • the data index for the data 1 uploaded by B is calculated according to Equation (7).
  • DV 1 , B 1 , E RE1 (), subscript 1 in SA 1 means that it is associated with data 1.
  • DV 1 (B 1 ) f DV (SA 1 (A, 2)) + f DV (SA 1 (C, 1)) + f DV (SA 1 .
  • the data exponent setting device determines the data rank according to the data index of the uploaded data among the data for which at least one data exponent is determined. Preferably, the higher the data index, the higher the ranking.
  • FIG. 6 is a flowchart illustrating a method of setting a ranking on data uploaded to a network service according to another embodiment of the present invention.
  • step 610 is the same as step 110 of FIG. 1, and thus will be omitted in order to avoid redundant description.
  • the data index setting device determines the influence index of the second user.
  • the influence index is an influence calculated based on the activity of a user in a network service or the behavior of another user's response to the activity, that is, the degree of response of another user.
  • the behavior of a socially famous person or a response of a famous person to an action of another person has a great influence or influence on a network service rather than a normal person's action.
  • the data index setting device calculates an influence index of a user by analyzing a behavior of a user in a network service, that is, another user's behavior on uploaded data.
  • the data index setting device calculates an influence index based on a data index of data created by a user during a predetermined period. Equation (8) is an equation for calculating the influence index.
  • SV t () is in the interval of t represents an impact factor
  • A is the data index for the A of the section of DV t () is t in represents the estimated user's impact factor
  • n represents a set of data created by A
  • the influence index SV 2 (A) DV 2 (A 1) + DV 2 (A 2) + + DV 2 (AN).
  • A1 to AN represent the number of pieces of data uploaded by the user A in two sections.
  • DV 2 (A1) ⁇ DV 2 (AN) respectively can be calculated using the equation (7).
  • the data index setting device adds an influence index calculated at a point in time or a time immediately preceding a time for calculating a current influence index to a data index of data created by a user during a predetermined section,
  • the index can be calculated.
  • Equation (9) is another expression for calculating the influence index.
  • Equation (9) The difference between Equation (9) and Equation (8) is that the influence index can be calculated by further using the influence index at t-1, which is the time point before or after t.
  • the influence index can be obtained by obtaining a data index for all data uploaded by a user in a predetermined section, adding all of the data indexes, and adding the influence index of the previous section to this value.
  • the influence index SV 2 (A) SV 1 (A) + DV 2 (A 1) + DV 2 (A 2) + + DV 2 (AN).
  • A1 to AN represent the number of pieces of data uploaded by the user A in two sections.
  • the value of SV 0 (A) which is the raw influence index, can be set by the operator of the data index setting device.
  • Step 630 is the same as step 120 of FIG. 1, and thus will be omitted in order to avoid redundant description.
  • the data exponent setting device determines the data exponent of the uploaded data based on the influence index and behavior index of the second user.
  • Step 340 is to add an influence index to the behavior index to determine the data index, as compared to step 130 of FIG.
  • the data index setting device obtains a data index (value) according to a predetermined formula of the influence index and the behavior index of the extracted second user. Equation (10) is an example of a formula for obtaining a data index.
  • Equation (10) DV (n) represents a data index
  • N represents data created by the first user.
  • x denotes a set of users who responded to N data.
  • SV (x) represents the influence index of x at the time point at which the data index is to be obtained or at the previous point or section of the interval as described above. From Equation (10), it can be seen that the data index is obtained based on the influence index and the action index. Equation (11) shows an example of f DV (SV (x), SA (x)).
  • a and b are weights.
  • the weights can be set by the provider of the data index setting method.
  • Equation (10) f DV (SV 0 (A), SA 1 (A, 2)) + f DV (SV 0 (C), SA 1 (C, 1)) + f DV (SV 0 (D), SA 1 (D, 2)).
  • the data index setting method may further include displaying the uploaded data with priority in accordance with the data ranking.
  • FIG. 7 is a diagram illustrating an example of an interface for displaying uploaded data according to a data order according to an embodiment of the present invention.
  • data uploaded according to the categories 710 to 730 is displayed on the interface 700.
  • FIG. The uploaded data 711 to 716 are displayed in the category 710, and the uploaded data 711 having the highest data index is displayed first. Thereafter, the next data 712 to 716 is displayed according to the data ranking.
  • the predetermined values, weights, determined behavior index, determined data index, and determined influence index used in the calculation of the behavior index are stored in a predetermined place of the data index setting device.
  • FIG. 8 is a block diagram of an apparatus for setting ranking on data uploaded to a network service according to an exemplary embodiment of the present invention. Referring to FIG.
  • the data index setting apparatus 800 includes a communication unit 802, a storage unit 804 and a control unit 806.
  • the data index setting apparatus 800 includes a network service 810 and a user terminal 820 via a wired or wireless network.
  • Network service 810 is at least one network service 810 to which a user is subscribed.
  • the network service 810 may be a social network service.
  • the communication unit 802 receives information on the behavior of the second user with respect to the data uploaded by the first user from the network service 810 to which the first user is subscribed or registered.
  • a user signifies or registers with at least one network service 810 and uses the service.
  • Data refers to all entities that are exchanged between a user and a user in the network service 810.
  • the data may be information, news, images, video, URL, location information, and so on. The above data are examples, but are not limited thereto.
  • An action of a user means a behavior of a user performed in the network service 810.
  • Examples of user actions include, but are not limited to, writing on a network service, such as Facebook, commenting on writing, clicking on "like" clicks, uploading data such as images or video, sharing on uploaded data, Service tweets, tweets about other tweets, and so on.
  • the above user action is also an example, but is not limited thereto.
  • the behavior of the first user means that the first user uploads the data to the network service.
  • writing, data upload, and tweet can be regarded as the actions of the first user.
  • the action of the second user means an action of responding to the action of the first user. That is, the action of the second user is an action of responding to the data uploaded by the first user.
  • a comment on a writing, a 'liking' click, a sharing on uploaded data, and a retweet can be regarded as a second user's action.
  • the data exponent setting device 800 may use the access token to at least one network service 810 to which the user is subscribed to determine the user's activity in the network service 810, The behavior of other users can be grasped.
  • the data index setting device 800 can access the resources of the network service 810 to which the user subscribes using the access token.
  • the access token is used to request the network service 810 API on behalf of the user. It is possible to obtain various information regarding the user in the data ranking setting network service 810.
  • An example of the network service 810 is Facebook. For Facebook, it provides OAuth-based Open API. The key to OAuth authentication is to have the user enter his or her ID and password on Facebook pages, and if the username and password match, issue an access token instead.
  • the issued access token can also be retrieved at any time when the user desires. If you do not use the OAuth method, when you create an interlocking page to log in to Facebook, you enter the user's Facebook ID and password in the network service (810) that you want to connect to and use the Server to Server ) Interface to verify that the ID and password match.
  • the problem with using this method is that the network service 810 that is to be interlocked can find out the password of the user so that there is a problem in terms of security and therefore the trust of the interlocking service must be based on, Is not clear.
  • the user's ID and password are entered on the service page provided by Facebook, and instead, an encrypted token is issued to use the Open API.
  • the access token contains information about the user being authenticated, along with information about which APIs are accessible, and in some cases, setting the token to invalid so that it is no longer usable. If the user directly enters the ID and password on the page in Facebook and authenticates and has the issued access token, the following information will be accessible.
  • Examples of information that can be accessed on Facebook include 'accounts' information, which is page information held by an account, 'activities' information, which is profile information of an activity, 'adaccounts', which is advertisement management account information, , 'Apprequests' information of app request information, 'books' information of a book, 'checkins' information of a region based check in, 'cover' information of a photograph used in a cover, 'events' Friend "information," friendrequests ", friend information, and friend information, which are information of the family, which is family information, family information, activity information of the friend, 'friends' information about a game, 'games' information about a game, 'groups' information about group information on Facebook, 'home' information about postings occurring on my network, information about 'inbox' , Tube Links' information, 'movie' information, which is profile information about the movie, 'profile' information about music, 'interest' information,
  • the data index setting device 800 can confirm the behavior of the first user and the behavior of the second user by using some or all of the information accessible using the access token as described above.
  • the data index setting device 800 accesses the network service 810 periodically or non-periodically through the communication unit 802 to receive information, and confirms the behavior of the users based on the received information.
  • the control unit 806 determines an action index for the action of the second user.
  • the behavior index is a value set with respect to a behavior of a response to a user action.
  • An example of an equation for obtaining the behavior index is shown in Equation 1 above.
  • the behavior index may be determined based on a preset value according to an aspect of the response behavior.
  • An example of an equation for calculating an action index is shown in Equation (2).
  • the behavior index is the sum of the predetermined values according to the mode of the response behavior. The fact that the sum is used in the behavior index is only an example, and the formulas may vary from case to case.
  • the behavior index may be obtained by weighting a predetermined value according to an aspect of the response behavior.
  • Equation (3) An example of an equation for calculating the behavior index is shown in Equation (3).
  • the behavior index may be obtained by adding a probability associated with the occurrence of a behavior to a predetermined value according to an aspect of the response behavior.
  • An example of an equation for calculating the behavior index is shown in Equation (4).
  • weights may be further added in accordance with each mode of action.
  • the behavior index can be obtained by using the highest probability among the probabilities and the probabilities related to the occurrence of the behavior to predetermined values according to the mode of the response behavior.
  • Equation (6) An example of an equation for calculating the behavior index is shown in Equation (6).
  • the control unit 806 calculates a value obtained by averaging the probability of the user having the access token as an action index.
  • probability is obtained by extracting information on an action and using a normal distribution. This is an example only, and there is no limit to how to obtain the probability. If the user's behavior is more than a certain number of times, the probability distribution to perform the behavior is a normal distribution.
  • the probability density function can be assumed to be a Gaussian function. Then, when the average value and the standard deviation or the variance value are obtained, the probability of an action can be estimated.
  • the control unit 806 determines the data index of the uploaded data based on the behavior index.
  • the control unit 806 substitutes the behavior index into a predetermined formula to obtain a data index (value).
  • Equation (7) is an example of a formula for obtaining a data index.
  • the control unit 806 determines the data rank according to the data index of the uploaded data among the data for which at least one data index has been determined. Preferably, the higher the data index, the higher the ranking.
  • the control unit 806 determines the influence index of the second user.
  • the influence index means an influence calculated based on the activity of a user in the network service 810 or the behavior of another user's response to the activity, that is, the degree of reaction of another user.
  • the behavior of a socially famous person or an act of responding to the actions of other people of a famous person has a great influence or influence on the network service (810) rather than the behavior of a normal person.
  • the control unit 806 analyzes a behavior of a user in the network service 810, that is, the behavior of another user with respect to the uploaded data, and calculates the influence index of the user.
  • the controller 806 calculates the influence index based on the data index of the data created by the user during a predetermined time or period.
  • the control unit 806 may calculate the influence index by adding the influence index calculated at a point in time immediately before or at the time of calculating the current influence index to the data index of the data created by the user for a predetermined time or section.
  • An example of an equation for calculating the influence index is shown in Equations (8) and (9) above.
  • control unit 806 determines the data exponent of the uploaded data based on the influence index and the behavior index of the second user.
  • the control unit 806 obtains a data index (value) according to a predetermined expression of the influence index and the behavior index of the extracted second user.
  • Equations (10) and (11) are examples of formulas for obtaining data exponents.
  • the storage unit 804 stores a predetermined value, a weight, a determined behavior index, a determined data index, and a determined influence index used in the calculation of the behavior index.
  • the control unit 806 transmits a command for preferentially displaying the uploaded data to the user terminal 820 via the communication unit 802 in accordance with the rank of the determined data index.
  • the data index setting method as described above can also be implemented as a computer-readable code on a computer-readable recording medium.
  • a computer-readable recording medium includes all kinds of recording media in which data that can be read by a computer system is stored. Examples of the computer-readable recording medium include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like.
  • the computer readable recording medium may also be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner. And, functional programs, codes, and code segments for implementing the disk management method can be easily deduced by the programmers of the present invention.

Abstract

L'invention concerne un procédé permettant d'établir un indice de données, qui consiste à : identifier une action d'un deuxième utilisateur relative à des données téléversées par un premier utilisateur, en relation avec un service de réseau ; déterminer l'indice d'influence du deuxième utilisateur ; déterminer un indice d'action associé à l'action du deuxième utilisateur ; et déterminer l'indice de données relatif aux données sur la base de l'indice d'influence et de l'indice d'action.
PCT/KR2013/001764 2013-03-05 2013-03-05 Procédé pour établir un indice de données, et appareil correspondant WO2014137000A1 (fr)

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PCT/KR2013/001764 WO2014137000A1 (fr) 2013-03-05 2013-03-05 Procédé pour établir un indice de données, et appareil correspondant

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20050103997A (ko) * 2004-04-27 2005-11-02 엔에이치엔(주) 온라인 지식 커뮤니티 운영 방법 및 시스템
KR20060108894A (ko) * 2005-04-14 2006-10-18 에스케이커뮤니케이션즈 주식회사 인터넷 네트워크에서 콘텐츠의 평가에 따른 가치 분석시스템, 방법 및 이를 구현할 수 있는 컴퓨터로 읽을 수있는 기록 매체
KR20080103618A (ko) * 2007-02-22 2008-11-28 예병일 콘텐츠 제공 시스템, 방법 및 저장매체
KR20090001430A (ko) * 2007-04-12 2009-01-09 엔에이치엔(주) 블로그 분석 방법 및 시스템
KR20100097754A (ko) * 2007-12-24 2010-09-03 콸콤 인코포레이티드 사용자 행동에 기초하여 무선 디바이스 상의 미디어 컨텐츠의 표시를 최적화하기 위한 방법 및 장치

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20050103997A (ko) * 2004-04-27 2005-11-02 엔에이치엔(주) 온라인 지식 커뮤니티 운영 방법 및 시스템
KR20060108894A (ko) * 2005-04-14 2006-10-18 에스케이커뮤니케이션즈 주식회사 인터넷 네트워크에서 콘텐츠의 평가에 따른 가치 분석시스템, 방법 및 이를 구현할 수 있는 컴퓨터로 읽을 수있는 기록 매체
KR20080103618A (ko) * 2007-02-22 2008-11-28 예병일 콘텐츠 제공 시스템, 방법 및 저장매체
KR20090001430A (ko) * 2007-04-12 2009-01-09 엔에이치엔(주) 블로그 분석 방법 및 시스템
KR20100097754A (ko) * 2007-12-24 2010-09-03 콸콤 인코포레이티드 사용자 행동에 기초하여 무선 디바이스 상의 미디어 컨텐츠의 표시를 최적화하기 위한 방법 및 장치

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