EXPERIENCE GRAPH

• US 20150134664A1
• Filed: 09/12/2014
• Published: 05/14/2015
• Est. Priority Date: 09/13/2011
• Status: Active Grant

• Current Assignee: Airtime Media, Inc.
• Original Assignee: Airtime Media, Inc.
• Inventors: Lin, Andrew C., Wei, Eugene C., Feng, Eric I.
• Granted Patent: US 9,342,603 B2
• Time in Patent Office: Days
• US Class Current: 707/738
• 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

1-32. -32. (canceled)

33. A computer-implemented method of organizing data based on experiences, comprising:

creating a first experience entity for a first experience, the first experience entity comprising one or more of attributes including a time, a location, or an activity of the first experience;

receiving a piece of data to which at least one of the attributes apply;

creating an association between the first experience entity and the piece of data;

creating a person entity for a person who shares the first experience;

creating an association between the first experience entity and the person entity;

creating an association between the first experience entity and a second experience entity that shares at least one of attributes with the first experience entity;

storing the received data, the created entities, and the created associations in a repository; and

allowing stored data to be accessed by a client device through one or more stored experience entities or one or more stored associations.

34. The computer-implemented method of claim 33, further comprising

creating a group including one or more stored person entities for people, any two of the person entities being associated with a same stored experience entity;

wherein the piece of data is received from an external source containing data produced by one of the people.

35. The computer-implemented method of claim 33, further comprising

creating a group including one or more stored experience entities for which a value of a common attribute falls in a given range,

wherein the data to be accessed is limited to data associated with the experience entities in the group.

36. The computer-implemented method of claim 33, further comprising:

receiving a query from a client device for data, the query specifying a condition on one of the attributes; and

sending stored pieces of data as query results to the client device, the pieces of data being associated with stored experience entities comprising the one attribute that satisfies the condition.

37. The computer-implemented method of claim 33, wherein the receiving further comprises:

identifying a social media website on which the person who shares the experience has an account;

identifying contents in the account to which at least one of the attributes applies; and

downloading the contents into the repository;

38. The computer-implemented method of claim 33, wherein the piece of data is a video, a photo, a text note, a webpage link, or a music file.

39. The computer-implemented method of claim 33, further comprising

receiving a request from a client device corresponding to a second person entity that is already associated with the first experience entity,

wherein the person entity is created in response to the received request.

40. The computer-implemented method of claim 33, wherein the person entity comprises one or more privacy settings that control the accessibility of the association with the first experience entity.

41. A computer-readable storage medium whose contents are capable of causing a computer device with a processor and memory to perform a method of accessing data organized based on experiences, the method comprising:

submitting a piece of data to a server that manages a repository storing a first experience entity comprising one or more attributes including a time, a location, or an activity of a first experience,

wherein at least one of the attributes applies to the piece of data,

wherein the server creates an association between the first experience entity and the piece of data and stores the piece of data and the association in the repository, and

wherein the repository further contains an association between the first experience entity and a person entity corresponding to a person who shares the first experience and an association between the first experience entity and a second experience entity that shares at least one of the attributes with the first experience entity; and

sends commands to the server for browsing the repository through exploring the experience entities and following the associations.

42. The computer-readable storage medium of claim 41, further comprising

sending a query to the server for data, the query specifying a condition on one of the attributes;

and, and

receiving from the server pieces of data that are associated with the experience entities comprising the one attribute that satisfies the condition in response to the request.

43. 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;

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;

organizing the experience graph by classifying the specific experience into at least three categories, the at least three categories include past experience, current experience and planned future experience; and

enabling the specific user to search for all experiences at a specific location to generate search results,

wherein the search results include an experience at the specific location in at least one of the past experience, the current experience and the planned future experience.

44. The computer-implemented method of claim 43, further comprising

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.

45. The computer-implemented method of claim 43, further comprising

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, and

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

46. The computer-implemented method of claim 43, 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.

47. The computer-implemented method of claim 43, 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.

48. The computer-implemented method of claim 43, further 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.

49. The computer-implemented method of claim 43, 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,

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.

50. The computer-implemented method of claim 43, 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.

51. The computer-implemented method of claim 43, further comprising:

connecting the experiences graph with a particular user'"'"'s existing social media account(s); and

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

52. 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:

generating the experience graph by combining the specific experience with contents, the experience graph comprising the specific experience and the contents,

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, and

wherein the experience graph is traversable by the at least one of the plurality of attributes;

organizing the experience graph by grouping the specific experience into at least three categories, the at least three categories include past experience, current experience and planned future experience;

enabling a user to search for all experience at a specific location to generate search results, wherein the search results includes at least any of the past experience, the current experience and the planned future experience at the specific location.