Personalized online content access experiences using inferred user intent to configure online session attributes

Patent metadata

Field	Value
Publication number	US-9886563-B2
Application number	US-201514952640-A
Country	US
Kind code	B2
Filing date	Nov 25, 2015
Priority date	Nov 25, 2015
Publication date	Feb 6, 2018
Grant date	Feb 6, 2018

Abstract

Systems for managing personalized access to shared online objects. A user accesses a server in a cloud-based environment, wherein the server is interfaced with storage devices that store one or more content objects. The server receives communications packets comprising at least one session attribute, wherein receiving the one or more communications packets is responsive, either directly or indirectly, to an act of the user to invoke a new content access session. The session attribute is used to generate personalized workspace properties that are based on explicitly-provided information or based on inferences that pertain to the invoked content access session. Access to content objects is personalized using explicit or inferred workspace session properties. Personalization includes any aspects of branding preferences, working group colleagues, roles, privileges, friends, etc. Personalization can be based on personalized workspace properties that are inferred based on rules or combinations of data.

First claim

What is claimed is:

1. A method comprising:
identifying a collaboration server in a cloud-based environment, wherein the collaboration server is interfaced with one or more storage devices that store one or more content objects shared by a group of collaborators, the group of collaborators comprising at least a first collaborator and a second collaborator, wherein the first collaborator and the second collaborator are different;
receiving, by the collaboration server, over one or more communications links, one or more communications packets comprising at least one user profile attribute, wherein the at least one user profile attribute is associated with the first collaborator;
predicting at least one predicted aspect pertaining to an online session for the first collaborator based at least in part on the user profile attribute associated with the first collaborator, wherein the prediction corresponds to a content object accessed by the second collaborator;
calculating at least one calculated session attribute value based at least in part on the predicted aspect wherein the calculation is performed by the collaboration server;
generating one or more workspace properties for the first collaborator based at least in part on the calculated session attribute value; and
provisioning access, for the first collaborator, to the content object accessed by the second collaborator based at least in part on the one or more workspace properties.

2. The method of claim 1 , wherein the predicted aspect is based at least in part on at least one of, a collaboration group, or a user location, or a user timezone, or a user language preference.

3. The method of claim 1 , wherein the calculated session attribute value is at least one of, an order of listing of the one or more content objects, or a branding personalization, or a color palette, or any combination thereof.

4. The method of claim 1 , wherein the one or more communications packets comprise at least one of, a SAML assertion, or an OpenToken message.

5. The method of claim 1 , wherein generating the one or more workspace properties is based at least in part on a first portion of collaboration management data.

6. The method of claim 1 , wherein generating the one or more workspace properties is based at least in part on one or more session experience rules.

7. The method of claim 5 , wherein the first portion of the collaboration management data comprises at least one of, an enterprise profile, or a user profile, or a combination thereof.

8. The method of claim 5 , wherein the first portion of the collaboration management data comprises one or more session experience rules.

9. The method of claim 5 , wherein a second portion of the collaboration management data is modified based at least in part on the at least one session attribute or to comprise at least a portion of session history.

10. The method of claim 1 , wherein the at least one predicted aspect pertaining to an online session and the at least one calculated session attribute value both correspond to an inferred session attribute.

11. A computer program product, embodied in a non-transitory computer readable medium, the non-transitory computer readable medium having stored thereon a sequence of instructions which, when stored in memory and executed by a processor causes the processor to perform a set of acts, the acts comprising:
identifying a collaboration server in a cloud-based environment, wherein the collaboration server is interfaced with one or more storage devices that store one or more content objects shared by a group of collaborators, the group of collaborators comprising at least a first collaborator and a second collaborator, wherein the first collaborator and the second collaborator are different;
receiving, by the collaboration server, over one or more communications links, one or more communications packets comprising at least one user profile attribute, wherein the at least one user profile attribute is associated with the first collaborator;
predicting at least one predicted aspect pertaining to an online session for the first collaborator based at least in part on the user profile attribute associated with the first collaborator, wherein the prediction corresponds to a content object accessed by the second collaborator;
calculating at least one calculated session attribute value based at least in part on the predicted aspect wherein the calculation is performed by the collaboration server;
generating one or more workspace properties for the first collaborator based at least in part on the calculated session attribute value; and
provisioning access, for the first collaborator, to the content object that is accessed by the second collaborator based at least in part on the one or more workspace properties.

12. The computer program product of claim 11 , wherein the predicted aspect is based at least in part on at least one of, a collaboration group, or a user location, or a user timezone, or a user language preference.

13. The computer program product of claim 11 , wherein the calculated session attribute value is at least one of, an order of listing of the one or more content objects, or a branding personalization, or a color palette, or any combination thereof.

14. The computer program product of claim 11 , wherein the one or more communications packets comprise at least one of, a SAML assertion, or an OpenToken message.

15. The computer program product of claim 11 , wherein generating the one or more workspace properties is based at least in part on a first portion of collaboration management data.

16. The computer program product of claim 11 , wherein generating the one or more workspace properties is based at least in part on a first portion of collaboration management data.

17. The computer program product of claim 15 , wherein the first portion of the collaboration management data comprises at least one of, an enterprise profile, or a user profile, or a combination thereof.

18. The computer program product of claim 15 , wherein a second portion of the collaboration management data is modified to comprise at least a portion of session history.

19. A system comprising:
a collaboration server in a cloud-based environment, wherein the collaboration server is interfaced with one or more storage devices that store one or more content objects shared by a group of collaborators, the group of collaborators comprising at least a first collaborator and a second collaborator, wherein the first collaborator and the second collaborator are different;
a network component to receive one or more communications packets comprising at least one user profile attribute, wherein the at least one user profile attribute is associated with a first collaborator from among the two or more collaborators; and
a session manager module to:
predict at least one predicted aspect for the first collaborator based at least in part on the user profile attribute associated with the first collaborator, wherein the prediction corresponds to a content object accessed by the second collaborator;
calculate at least one calculated session attribute value based at least in part on the predicted aspect wherein the calculation is performed by the collaboration server;
generate one or more workspace properties based at least in part on the calculated session attribute value; and

provision access, for the first collaborator, to the content objects accessed by the second collaborator based at least in part on the one or more workspace properties.

Assignees

• Box Inc

Inventors

• Sardesai Vikram
• Warudkar Ketki
• Tiruvury Ravi Teja
• Self Matthew
• Wacker Rand

Classifications

• H04L67/306

  User profiles · CPC title

• H04L67/1097 Primary

  for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS] · CPC title

• H04L63/102

  Entity profiles · CPC title

• H04L63/20

  for managing network security; network security policies in general (filtering policies H04L63/0227) · CPC title

• G06Q10/1053

  Employment or hiring · CPC title