EXPERIENCE GRAPH

• US 20130124497A1
• Filed: 09/13/2012
• Published: 05/16/2013
• Est. Priority Date: 09/13/2011
• Status: Active Grant

• Current Assignee: Airtime Media, Inc.
• Original Assignee: Airtime Media, Inc.
• Inventors: Lin, Andrew C., Feng, Eric I., Wei, Eugene C.
• Granted Patent: US 8,838,572 B2
• Time in Patent Office: Days
• US Class Current: 707/709
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering

Abstract

Method and system for organizing and sharing content through experience are described. In one embodiment, content may be organized and shared among users through a specific experience. A method for sharing content in a network may include: collecting contents related to a specific experience from a specific user; generating an experience graph of the specific experience; enabling the specific user to invite other users to join the experience graph; and enabling each user inside the experience graph to share new content into the experience graph.

Claims

1. A computer-implemented method of sharing content related to a specific experience within an experience graph in a social network, the specific experience being a central node in the experience graph, the experience graph configured to link the specific experience with each of the corresponding contents, the method comprising:

collecting the contents related to the specific experience from a specific user, wherein the specific experience is defined by at least one of a plurality of attributes, the plurality of attributes including a what attribute, a who attribute, a when attribute, and a where attribute;

generating the experience graph by combining the specific experience with the contents, the experience graph comprising the specific experience and the contents, wherein the experience graph is traversable by the at least one of the plurality of attributes;

enabling the specific user to invite one or more additional users to join the experience graph, wherein each user inside the experience graph has access to all contents inside the experience graph; and

enabling each user to share new content into the experience graph;

wherein the links between the specific experience and the corresponding contents are automatically updated;

wherein the new content is accessible by all other users inside the experience graph through the experience graph.

2. A computer-implemented method as recited in claim 1, wherein one or more of the plurality of attributes is null in the specific experience.

3. A computer-implemented method as recited in claim 1, wherein the contents are collected from at least one of a plurality of user input means and/or through one or more data mining crawlers, the plurality of user input means including one or more from the group comprising keyboard, touch input device, and a microphone.

4. A computer-implemented method as recited in claim 1, further comprising:

enabling each user of the experience graph to navigate content in the experience graph by using one or more attributes in the plurality of attributes.

5. A computer-implemented method as recited in claim 4, further comprising:

enabling each user of the experience graph to browse other experiences of another user, if the browsing is enabled and allowed by another user'"'"'s privacy settings.

6. A computer-implemented method as recited in claim 1, further comprising:

connecting the experiences graph with a particular user'"'"'s existing social media account(s), wherein the social media account(s) comprises one or more from a group comprising Facebook®

, Google®

, Tagged®

, Quepasa®

, Twitter®

, Spotify®

, MyYearBook®

, and Pinterest®

account.

7. A computer-implemented method as recited in claim 6, further comprising:

updating the experience graph by bringing updates from the particular user'"'"'s connected social media account(s).

8. A computer-implemented method as recited in claim 7, further comprising:

updating the experience graph by downloading contents related to the specific experience from a plurality of services used by users inside the experience graph.

9. A computer-implemented method as recited in claim 8, wherein the plurality of services comprises one or more from a group comprising live broadcast sites, social networks, photo hosting sites, and personal publishing platforms.

10. A computer-implemented method as recited in claim 7, further comprising:

expanding the experience graph over time by automatically examining and extracting necessary attributes related to contextual groups of users inside the experience graph.

11. A computer-implemented method as recited in claim 1, wherein the specific experience comprising a plurality of contents, the types of the plurality of contents comprising one or more from a group comprising videos, photos, images from live broadcasts, text notes, webpage links, transactions, recommendations, music, and files.

12. A computer-implemented method as recited in claim 1, further comprising:

combining the experience graph with one or more other experience graph(s) by grouping the specific experience with experience(s) inside the one or more other experience graph(s), wherein the grouped experiences have at least one common attribute from the plurality of attributes.

13. A computer-implemented method as recited in claim 1, wherein each primitive of the specific experience is stored in a database and assigned with a unique identification number.

14. A computer-implemented method as recited in claim 13, wherein the database is a cloud-based database.

15. A computer-implemented method as recited in claim 14, wherein the primitives of the specific experience is automatically created or updated by one or more data mining crawlers.

16. A system for sharing content related to a specific experience within an experience graph in a social network, the specific experience being a central node in the experience graph, the experience graph configured to link the specific experience with each of the corresponding contents, comprising:

one or more processors, and

instructions encoded in one or more computer-readable mediums wherein the instructions when executed in a platform featuring the one or more processors, cause the platform to perform operations comprising;

collecting the contents related to the specific experience from a specific user, wherein the specific experience is defined by at least one of a plurality of attributes, the plurality of attributes including a what attribute, a who attribute, a when attribute, and a where attribute;

generating the experience graph by combining the specific experience with the contents, the experience graph comprising the specific experience and the contents, wherein the experience graph is traversable by the at least one of the plurality of attributes;

enabling the specific user to invite one or more additional users to join the experience graph, wherein each user inside the experience graph has access to all contents inside the experience graph; and

enabling each user to share new content into the experience graph;

wherein the links between the specific experience and the corresponding contents are automatically updated;

wherein the new content is accessible by all other users inside the experience graph through the experience graph.

17. A system recited in claim 16, wherein one or more of the plurality of attributes is null in the specific experience.

18. A system recited in claim 16, wherein the contents are collected from at least one of a plurality of user input means and/or through one or more data mining crawlers, the plurality of user input means including one or more from the group comprising keyboard, touch input device, and a microphone.

19. A system recited in claim 16, wherein the operations further comprise:

enabling each user of the experience graph to navigate content in the experience graph by using one or more attributes in the plurality of attributes.

20. A system recited in claim 19, wherein the operations further comprise:

enabling each .user of the experience graph to browse other experiences of another user, if the browsing is enabled and allowed by another user'"'"'s privacy settings.

21. A system recited in claim 16, wherein the operations further comprise:

connecting the experiences graph with a particular user'"'"'s existing social media account(s), wherein the social media account(s) comprises one or more from a group comprising Facebook®

, Google®

, Tagged®

, Quepasa®

, Twitter®

, Spotify®

, MyYearBook®

, and Pinterest®

account.

22. A system recited in claim 21, wherein the operations further comprise:

updating the experience graph by bringing updates from the particular user'"'"'s connected social media account(s).

23. A system recited in claim 22, wherein the operations further comprise:

updating the experience graph by downloading contents related to the specific experience from a plurality of services used by users inside the experience graph.

24. A system recited in claim 23, wherein the plurality of services comprises one or more from a group comprising live broadcast sites, social networks, photo hosting sites, and personal publishing platforms.

25. A system recited in claim 22, wherein the operations further comprise:

expanding the experience graph over time by automatically examining and extracting necessary attributes related to contextual groups of users inside the experience graph.

26. A system recited in claim 16, wherein the specific experience comprising a plurality of contents, the types of the plurality of contents comprising one or more from a group comprising videos, photos, images from live broadcasts, text notes, webpage links, transactions, recommendations, music, and files.

27. A system recited in claim 16, wherein the operations further comprise:

combining the experience graph with one or more other experience graph(s) by grouping the specific experience with experience(s) inside the one or more other experience graph(s), wherein the grouped experiences have at least one common attribute from the plurality of attributes.

28. A system recited in claim 16, wherein each primitive of the specific experience is stored in a database and is assigned with a unique identification number.

29. A system recited in claim 28, wherein the database is a cloud-based database.

30. A system recited in claim 29, wherein the primitives of the specific experience is automatically created or updated by one or more data mining crawlers.

31. A computer-implemented method of sharing content related to a specific experience within an experience graph in a social network, the specific experience being a central node in the experience graph, the experience graph configured to link the specific experience with each of the corresponding contents, the method comprising:

collecting the contents related to the specific experience from a specific user, wherein the specific experience is defined by at least one of a plurality of attributes, the plurality of attributes including a what attribute, a who attribute, a when attribute, and a where attribute;

generating the experience graph by combining the specific experience with the contents, the experience graph comprising the specific experience and the contents, wherein the experience graph is traversable by the at least one of the plurality of attributes;

enabling each user inside the experience graph to share new content into the experience graph, wherein contents inside the experience graph are accessible to all users inside the experience graph; and

enabling each user inside the experience graph to navigate content by using at least one of the plurality of attributes.

32. An apparatus for sharing content related to a specific experience within an experience graph in a social network, the specific experience being a central node in the experience graph, the experience graph configured to link the specific experience with each of the corresponding contents, the apparatus comprising:

means for collecting the contents related to the specific experience from a specific user, wherein the specific experience is defined by at least one of a plurality of attributes, the plurality of attributes including a what attribute, a who attribute, a when attribute, and a where attribute;

means for generating the experience graph by combining the specific experience with the contents, the experience graph comprising the specific experience and the contents, wherein the experience graph is traversable by the at least one of the plurality of attributes;

means for enabling the specific user to invite one or more additional users to join the experience graph, wherein each user inside the experience graph has access to all contents inside the experience graph;

and

means for enabling each user to share new content into the experience graph;

wherein the links between the specific experience and the corresponding contents are automatically updated;

wherein the new content is accessible by all other users inside the experience graph through the experience graph.