Analysis of user's data to recommend connections

• US 9,910,922 B2
• Filed: 08/28/2014
• Issued: 03/06/2018
• Est. Priority Date: 08/28/2014
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Abuelsaad, Tamer E., Boss, Gregory J., Ganci, Jr., John M., Trim, Craig M.
• Primary Examiner(s): Jami, Hares
• Application Number:
  US14/471,100
• Publication Number:
  US 20160063116A1
• Time in Patent Office: 1,286 Days
• Field of Search: 707731, 707750, 707751, 707776, 707777
• CPC Class Codes: G06F 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

One or more files associated with a user are scanned. Metadata corresponding to the one or more files is determined. One or more categories based on the one or more files is determined, wherein the one or more categories is associated with the user. One or more categories are modified based on the metadata corresponding to the one or more files.

Claims

1. A method for determining connections for users of social media, the method comprising the steps of:

scanning, by a computer processor, one or more files associated with a user;

determining, by a computer processor, metadata corresponding to the one or more files;

determining, by a computer processor, one or more categories based on the one or more files, wherein the one or more categories is associated with the user;

modifying, by a computer processor, the one or more categories based on the metadata corresponding to the one or more files to create a percentage for each category of the one or more categories;

determining, by a computer processor, a plurality of candidate users with one or more associated categories the same as one category of the one or more categories associated with the user, wherein each associated category of the one or more associated categories has an associated category percentage;

determining, by a computer processor, an overlap amount between the percentage for each category of the one or more categories of the user and the associated category percentage for each associated category of the one or more associated categories of the plurality of candidate users;

ranking, by a computer processor, the plurality of candidate users, wherein the plurality of candidate users with a higher amount of the overlap with the user are ranked higher;

responsive to determining the plurality of candidate users with one or more associated categories the same as one category of the one or more categories associated with the user and ranking, initiating to notify, by the computer processor, the user of the ranked plurality of candidate users;

receiving, by a computer processor, at least one characteristics of a profile associated with the user;

modifying, by a computer processor, the percentage for each category of the one or more categories based on the at least one characteristics of the profile associated with the user to create a modified percentage for each category of the one or more categories; and

wherein the step of determining, by a computer processor, an overlap amount between the percentage for each category of the one or more categories of the user and the percentage for each associated category of the one or more associated categories of the plurality of candidate users comprises;

determining, by a computer processor, an overlap amount between the modified percentage for each category of the one or more categories of the user and the percentage for each associated category of the one or more associated categories of the plurality of candidate users.

2. The method of claim 1, wherein metadata comprises at least one of:

last access time of the one or more files, last modification time of the one or more files, user who last modified the one or more files, frequency of access of the one or more files, location of the one or more files in a file system, the location of the one or more files in a file directory, the parent directory names of the one or more files, relation of the user to the one or more files, and data provenance of the one or more files.

3. The method of claim 1, wherein the user'"'"'s files comprise at least one of:

file systems, documents, audio, video, images, bookmarks, favorites, blogs, microblogs, wikis, social data, cloud data, and cloud connections.

4. The method of claim 1, wherein the user'"'"'s files are located on at least one of:

computer readable storage media and remote computer readable storage media.

5. A computer program product for determining connections for users of social media, the computer program product comprising:

one or more computer readable storage media; and

program instructions stored on the one or more computer readable storage media, the program instructions comprising;

program instructions to scan one or more files associated with a user;

program instructions to determine metadata corresponding to the one or more files;

program instructions to determine one or more categories based on the one or more files, wherein the one or more categories is associated with the user;

program instructions to modify the one or more categories based on the metadata corresponding to the one or more files to create a percentage for each category of the one or more categories;

program instructions to determine a plurality of candidate users with one or more associated categories the same as one category of the one or more categories associated with the user, wherein each associated category of the one or more associated categories has an associated category percentage;

program instructions to determine an overlap amount between the percentage for each category of the one or more categories of the user and the associated category percentage for each associated category of the one or more associated categories of the plurality of candidate users;

program instructions to rank the plurality of candidate users, wherein the plurality of candidate users with a higher amount of overlap with the user are ranked higher;

program instructions, responsive to determining the plurality of candidate users with one or more associated categories the same as one category of the one or more categories associated with the user and ranking, to initiate to notify the user of the ranked plurality of candidate users;

program instructions to receive at least one characteristics of a profile associated with the user;

program instructions to modify the percentage for each category of the one or more categories based on the at least one characteristics of the profile associated with the user to create a modified percentage for each category of the one or more categories; and

wherein the program instructions to determine, an overlap amount between the percentage for each category of the one or more categories of the user and the percentage for each associated category of the one or more associated categories of the plurality of candidate users comprises;

program instructions to determine an overlap amount between the modified percentage for each category of the one or more categories of the user and the percentage for each associated category of the one or more associated categories of the plurality of candidate users.

6. The computer program product of claim 5, wherein metadata comprises at least one of:

last access time of the one or more files, last modification time of the one or more files, user who last modified the one or more files, frequency of access of the one or more files, location of the one or more files in a file system, the location of the one or more files in a file directions, the parent directory names of the one or more files, relation of the user to the one or more files, and data provenance of the one or more files.

7. The computer program product of claim 5, wherein the user'"'"'s files comprise at least one of:

file systems, documents, audio, video, images, bookmarks, favorites, blogs, microblogs, wikis, social data, cloud data, and cloud connections.

8. The computer program product of claim 5, wherein the user'"'"'s files are located on at least one of:

computer readable storage media and remote computer readable storage media.

9. A computer system for determining connections for users of social media, the computer system comprising:

one or more computer processors;

one or more computer readable storage media; and

program instructions, stored on the one or more computer readable storage media for execution by at least one of the one or more computer processors, the program instructions comprising;

program instructions to scan one or more files associated with a user;

program instructions to determine metadata corresponding to the one or more files;

program instructions to determine one or more categories based on the one or more files, wherein the one or more categories is associated with the user;

program instructions to modify the one or more categories based on the metadata corresponding to the one or more files to create a percentage for each category of the one or more categories;

program instructions to determine a plurality of candidate users with one or more associated categories the same as one category of the one or more categories associated with the user, wherein each associated category of the one or more associated categories has an associated category percentage;

program instructions to determine an overlap amount between the percentage for each category of the one or more categories of the user and the associated category percentage for each associated category of the one or more associated categories of the plurality of candidate users;

program instructions to rank the plurality of candidate users, wherein the plurality of candidate users with a higher amount of overlap with the user are ranked higher;

program instructions, responsive to determining the plurality of candidate users with one or more associated categories the same as one category of the one or more categories associated with the user and ranking, to initiate to notify the user of the ranked plurality of candidate users;

program instructions to receive at least one characteristics of a profile associated with the user;

program instructions to modify the percentage for each category of the one or more categories based on the at least one characteristics of the profile associated with the user to create a modified percentage for each category of the one or more categories; and

wherein the program instructions to determine, an overlap amount between the percentage for each category of the one or more categories of the user and the percentage for each associated category of the one or more associated categories of the plurality of candidate users comprises;

program instructions to determine an overlap amount between the modified percentage for each category of the one or more categories of the user and the percentage for each associated category of the one or more associated categories of the plurality of candidate users.

10. A computer system of claim 9, wherein metadata comprises at least one of:

last access time of the one or more files, last modification time of the one or more files, user who last modified the one or more files, frequency of access of the one or more files, location of the one or more files in a file system, the location of the one or more files in a file directory, the parent directory names of the one or more files, relation of the user to the one or more files, and data provenance of the one or more files.

11. A computer system of claim 9, wherein the user'"'"'s files comprise at least one of:

file systems, documents, audio, video, images, bookmarks, favorites, blogs, microblogs, wikis, social data, cloud data, and cloud connections.

12. A computer system of claim 9, wherein the user'"'"'s files are located on at least one of:

computer readable storage media and remote computer readable storage media.