ANALYZING DATA TO DETERMINE AN UPLOAD ACCOUNT

• US 20180189521A1
• Filed: 05/19/2017
• Published: 07/05/2018
• Est. Priority Date: 01/05/2017
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Application Number:
  US15/600,619
• Publication Number:
  US 20180189521A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 11/3058 Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations thermal management in cooling arrangements of a computing system G06F1/206
• CPC Class Codes: G06F 11/3438 monitoring of user actions tracking the activity of the user H04L67/535
• CPC Class Codes: G06F 16/14 Details of searching files based on file metadata
• CPC Class Codes: G06F 16/487 using geographical or spatial information, e.g. location
• 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: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06F 21/6209 to a single file or object, e.g. in a secure envelope, encrypted and accessed using a key, or with access control rules appended to the object itself
• CPC Class Codes: G06F 2221/2111 Location-sensitive, e.g. geographical location, GPS
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 4/025 using location based information parameters
• CPC Class Codes: H04W 64/006 with additional information processing, e.g. for direction or speed determination

Abstract

Technologies are described herein for analyzing data to determine an upload account. In some configurations, techniques disclosed herein cause the data, and other data, to be analyzed to determine whether the data is to be uploaded to a business account associated with the user or a personal account associated with the user. A request to upload data is received from a computing device. Instead of prompting a user to manually select whether to upload the data to the personal account or the business account, the techniques determine whether the data is personal or business related. When the data is determined to be personal, the data is uploaded to the personal account. When the data is determined to be business related, the data is uploaded to the business account.

Claims

1. A computer-implemented method comprising:

obtaining, from a computing device associated with a user, a request to store a file;

obtaining contextual data from the one or more data sources that includes data associated with the user, wherein the contextual data includes one or more of a calendar data, organizational data, contact data, social network data, and document management data;

analyzing at least a portion of the file to and the contextual data obtained from the one or more data sources to determine whether the file is a personal category or a business category;

selecting a first account associated with the user and causing the file to be stored in the first account when it is determined that the file is the personal category; and

selecting a second account associated with the user and causing the file to be stored in the second account when it is determined that the file is the business category.

2. The computer-implemented method of claim 1, wherein analyzing the at least the portion of the file and the contextual data comprises identifying from the contextual data one or more of a business contact of the user or a business activity of the user that is identified from an analysis of the file.

3. The computer-implemented method of claim 1, wherein analyzing the at least the portion of the file and the second data comprises identifying keywords from the file and determining whether the keywords are business related, and wherein selecting the second account is based at least in part on determining that the keywords are business related.

4. The computer-implemented method of claim 1, wherein the file is photographic data, and wherein analyzing the file and the contextual data includes identifying an individual depicted within photographic data and determining from the contextual data that the individual is a business contact of the user or a personal contact of the user.

5. The computer-implemented method of claim 1, wherein the first account is a personal account and the second account is a business account.

6. The computer-implemented method of claim 1, wherein selecting the account comprises utilizing a machine learning mechanism.

7. The computer-implemented method of claim 1, further comprising determining one or more individuals to recommend to share the file with based, at least in part, on contents of the file and the analysis of the contextual data.

20. The computer-readable storage medium of claim 1, wherein the computer-executable instructions further cause the computer to identify one or more individuals to share the first data with based, at least in part, on contents of the first data and the second data.

8. A computer, comprising:

a processor; and

a computer-readable storage medium in communication with the processor, the computer-readable storage medium having computer-executable instructions stored thereupon which, when executed by the processor, cause the computer to

obtain, from a remote computer, a request to store first data within an account of a storage service, wherein the account is associated with a user;

access second data associated with the user, wherein the second data includes one or more of a calendar data, organizational data, contact data, social network data, and document management data;

analyze the first data and the second data to determine that the first data is personal or business related;

select the account from at least a personal account and a business account; and

cause the first data to be stored in the account.

9. The computer of claim 8, wherein analyzing the first data and the second data comprises identifying from the contact data that the first data is associated with a business contact or a personal contact of the user.

10. The computer of claim 8, wherein analyzing the first data and the second data comprises identifying one or more individuals or keywords from the first data and determining that the one or more individuals or keywords are business related, and wherein selecting the account is based at least in part on determining that the one or more individuals or keywords are business related.

11. The computer of claim 8, wherein the first data is photographic data, and wherein analyzing the first data and the second data includes identifying one or more of an individual depicted within photographic data or a location associated with the photographic data.

12. The computer of claim 8, wherein selecting the account comprises utilizing a machine learning mechanism.

13. The computer of claim 8, wherein the computer-executable instructions further cause the computer to identify one or more individuals to share the first data with based, at least in part, on contents of the first data and the second data.

14. The computer of claim 13, wherein the computer-executable instructions further cause the computer to provide for display the identification of the one or more individuals.

15. A computer-readable storage medium having computer-executable instructions stored thereupon which, when executed by a computer, cause the computer to:

obtain, from a remote computer, a request to store a file in an account of a storage service;

obtain, from one or more data sources, second data associated with the user, wherein the second data includes one or more of a calendar data, organizational data, contact data, social network data, and document management data;

cause a machine learning mechanism to determine that the first data is personal or business related based, at least in part, on the first data and the second data;

select the account of the storage service from at least a personal account of the user and a business account of the user based at least in part on the determination that the first data is personal or business related; and

cause the first data to be stored in the account.

16. The computer-readable storage medium of claim 15, wherein the computer-executable instructions further cause the computer to identify keywords from the first data.

17. The computer-readable storage medium of claim 16, wherein the keywords are provided to the machine learning mechanism.

18. The computer-readable storage medium of claim 15, wherein the computer-executable instructions further cause the computer to identify from the first data an individual and determine that the individual is a business contact or a personal contact.

19. The computer-readable storage medium of claim 15, wherein the first data is photographic data and wherein the computer-executable instructions further cause the computer to identify an individual depicted by the photographic data and determine that the individual is a contact of the user.