Collecting social media users in a specific customer segment

US10783592B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10783592-B2
Application numberUS-201514928842-A
CountryUS
Kind codeB2
Filing dateOct 30, 2015
Priority dateOct 30, 2015
Publication dateSep 22, 2020
Grant dateSep 22, 2020

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A method and system are provided for collecting social media users who have a specific profile. The method includes retrieving a set of lists connected by at least one criterion to a particular list that is included in a set of reliable lists whose users have already been reliably deemed to have a specific profile. The method includes calculating a list name based confidence value and a list member based confidence value for each list in the retrieved set of lists. The method includes updating the set of reliable lists by adding all lists in the retrieved set of lists that have the list name based confidence value above a first threshold value and the list member based confidence value above a second threshold value. The method includes outputting a listing of users belonging to set of reliable lists as the social media users who have the specific profile.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for collecting social media users who have a specific profile, comprising: retrieving over one or more networks, by a hardware network interface, a set of lists connected by at least one criterion to a particular list, the particular list included in a set of reliable lists whose users have already been reliably deemed to have a specific profile; calculating, by a processor-based confidence value calculator, a first confidence value, based on a name of the particular list and names of each of the retrieved set of lists, and a second confidence value, based on a membership of the particular list and a membership of each of the retrieved set of lists, for each list in the retrieved set of lists by comparing each list in the retrieved set of lists to the particular list; updating the set of reliable lists by adding all of the lists in the retrieved set of lists that have the first confidence value above a first threshold value and the second confidence value above a second threshold value; outputting, by at least one of a display device and the hardware network interface, a listing of users belonging to the set of reliable lists as the social media users who have the specific profile; and sending a targeted advertisement to at least some of the users, having the specific profile, belonging to the set of reliable lists. 2. The method of claim 1 , further comprising sorting the listing of users belonging to the set of reliable lists based on a margin over which at least one of the confidence values exceeds a corresponding one of the threshold values. 3. The method of claim 1 , further comprising forwarding, by the hardware network interface, the listing of users belonging to the set of reliable lists to one or more remote devices, at least one of the one or more remote devices comprising a server. 4. The method of claim 3 , wherein the server is comprised in a cloud environment. 5. The method of claim 1 , wherein the at least one criterion comprises at least one of a same group label, a similar group label, a same group composition, and a similar group composition. 6. The method of claim 1 , wherein the first confidence value is calculated based on a function that performs integration with respect to another function, the other function based on a logarithmic function and including a decay element. 7. The method of claim 1 , wherein the second confidence value is calculated based on a dice coefficient. 8. The method of claim 7 , wherein, for a given one of the lists in the retrieved set of lists, the dice coefficient is calculated between the particular list and the given one of the lists in the retrieved set of lists. 9. The method of claim 8 , wherein the dice coefficient comprises a function that maps a given one of the lists in the retrieved set of lists to a set of users who belong to the given one of the lists. 10. The method of claim 1 , wherein the second confidence value is calculated based on a function that maps a given one of the lists in the retrieved set of lists to a set of users who belong to the given one of the lists. 11. A computer program product for collecting social media users who have a specific profile, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising: retrieving over one or more networks, by a hardware network interface, a set of lists connected by at least one criterion to a particular list, the particular list included in a set of reliable lists whose users have already been reliably deemed to have a specific profile; calculating, by a processor-based confidence value calculator, a first confidence value, based on a name of the particular list and names of each of the retrieved set of lists, and a second confidence value, based on a membership of the particular list and a membership of each of the retrieved set of lists, for each list in the retrieved set of lists by comparing each list in the retrieved set of lists to the particular list; updating the set of reliable lists by adding all of the lists in the retrieved set of lists that have the first confidence value above a first threshold value and the second confidence value above a second threshold value; outputting, by at least one of a display device and the hardware network interface, a listing of users belonging to the set of reliable lists as the social media users who have the specific profile; and sending a targeted advertisement to at least some of the users, having the specific profile, belonging to the set of reliable lists. 12. The computer program product of claim 11 , further comprising forwarding, by the hardware network interface, the listing of users belonging to the set of reliable lists to one or more remote devices, at least one of the one or more remote devices comprising a server. 13. The computer program product of claim 12 , wherein the server is comprised in a cloud environment. 14. The computer program product of claim 11 , wherein the at least one criterion comprises at least one of a same group label, a similar group label, a same group composition, and a similar group composition. 15. The computer program product of claim 11 , wherein the first confidence value is calculated based on a function that performs integration with respect to another function, the other function based on a logarithmic function and including a decay element. 16. The computer program product of claim 11 , wherein the second confidence value is calculated based on a dice coefficient. 17. The computer program product of claim 16 , wherein, for a given one of the lists in the retrieved set of lists, the dice coefficient is calculated between the particular list and the given one of the lists in the retrieved set of lists. 18. The computer program product of claim 17 , wherein the dice coefficient comprises a function that maps a given one of the lists in the retrieved set of lists to a set of users who belong to the given one of the lists. 19. A system for collecting social media users who have a specific profile, comprising: a hardware network interface for retrieving over one or more networks a set of lists connected by at least one criterion to a particular list, the particular list included in a set of reliable lists whose users have already been reliably deemed to have a specific profile; a processor-based confidence value calculator for calculating a first confidence value, based on a name of the particular list and names of each of the retrieved set of lists, and a second confidence value, based on a membership of the particular list and a membership of each of the retrieved set of lists, for each list in the retrieved set of lists by comparing each list in the retrieved set of lists to the particular list; and a list manager for updating the set of reliable lists by adding all of the lists in the retrieved set of lists that have the first confidence value above a first threshold value and the second confidence value above a second threshold value, wherein at least one of a display device and the hardware network interface outputs a listing of users belonging to the set of reliable lists as the social media users who have the specific profile and sends a targeted advertisement to at least some of the users, having the specific profile, belonging to the set of reliable lists.

Assignees

Inventors

Classifications

  • G06Q10/40Primary

    Business processes related to social networking or social networking services · CPC title

  • Determination of affinities or common interests between users · CPC title

  • G06Q10/48Primary

    using social graphs · CPC title

  • G06Q50/01Primary

    Physics · mapped topic

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What does patent US10783592B2 cover?
A method and system are provided for collecting social media users who have a specific profile. The method includes retrieving a set of lists connected by at least one criterion to a particular list that is included in a set of reliable lists whose users have already been reliably deemed to have a specific profile. The method includes calculating a list name based confidence value and a list me…
Who is the assignee on this patent?
IBM
What technology area does this patent fall under?
Primary CPC classification G06Q10/40. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Sep 22 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).