최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
DataON 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Edison 바로가기다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | UP-0502757 (2006-08-11) |
등록번호 | US-7827208 (2010-11-22) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 465 인용 특허 : 9 |
Systems and methods for generating dynamic relationship-based content personalized for members of a web-based social network are provided. At least one action of one or more members of a web-based social network is associated with relationship data for the one or more members to produce consolidated
Systems and methods for generating dynamic relationship-based content personalized for members of a web-based social network are provided. At least one action of one or more members of a web-based social network is associated with relationship data for the one or more members to produce consolidated data. One or more elements associated with the consolidated data is identified and used to aggregate the consolidated data. Further exemplary methods comprise weighting by affinity the aggregated consolidated data to generate dynamic relationship-based content personalized for the members of the web-based social network.
What is claimed is: 1. A method for generating a personalized story for a viewing user of a social network, comprising: storing actions performed by one or more users of a social network; accessing relationship data for the one or more users, the relationship data specifying relationships between u
What is claimed is: 1. A method for generating a personalized story for a viewing user of a social network, comprising: storing actions performed by one or more users of a social network; accessing relationship data for the one or more users, the relationship data specifying relationships between users in the social network; associating at least one action with at least one user to produce consolidated data, wherein the consolidated data for each of a plurality of actions identifies at least an action and a user of the social network who performed the action; identifying one or more elements associated with the consolidated data; aggregating consolidated data having one or more common elements to produce aggregated consolidated data, wherein the aggregated consolidated data identifies at least an action associated with a common element, a user of the social network who performed the action, and one or more other users of the social network who also performed an action associated with the common element; generating a story personalized for the viewing user, wherein the story comprises at least a description of the action, the user who performed the action, and the one or more other users who also performed an action associated with the common element; and sending the story for display to the viewing user. 2. The method of claim 1, further comprising storing the generated story personalized for the users of the social network. 3. The method of claim 1, wherein the relationship data comprises friends of the one or more users of the social network. 4. The method of claim 3, wherein the relationship data comprises friends of the friends of the one or more users of the social network. 5. The method of claim 1, wherein the at least one action is a change to a user profile. 6. The method of claim 1, wherein generating the story for a user comprises weighting the aggregated consolidated data by the user's affinity thereto and selecting the aggregated consolidated data based at least in part on the weighting. 7. The method of claim 1, wherein the story comprises at least one of an image, a sound, or a selectable link. 8. A system for generating a personalized story for a viewing user of a social network, the system comprising: an action database storing actions performed by one or more users of a social network; a relationship database storing relationship data for the one or more users of the social network, the relationship data specifying relationships between users in the social network; a processor; a processing module coupled to the action database and the relationship database and operatively coupled to the processor for performing instructions in response thereto, comprising: an association component to associate actions in the action database with the users who performed the action to produce consolidated data, wherein the consolidated data for each of a plurality of actions identifies at least an action and a user of the social network who performed the action; an identification component to identify one or more elements associated with the consolidated data; an aggregation component to aggregate consolidated data having one or more common elements to produce aggregated consolidated data, wherein the aggregated consolidated data identifies at least an action associated with a common element, a user of the social network who performed the action, and one or more other users of the social network who also performed an action associated with the common element; a component to generate a story personalized for the viewing user, wherein the story comprises at least a description of the action, the user who performed the action, and the one or more other users who also performed an action associated with the common element; and a server to send the story for display to the viewing user. 9. The system of claim 8, further comprising a database storing the generated story personalized for the users of the social network. 10. The system of claim 8, wherein the relationship data comprises friends of the one or more users of the social network. 11. The system of claim 10, wherein the relationship data comprises friends of the friends of the one or more users of the social network. 12. The system of claim 8, further comprising an affinity component to weight the aggregated consolidated data by the user's affinity thereto and select the aggregated consolidated data based at least in part on the weighting. 13. The system of claim 8, wherein the story comprises at least one of an image, a sound, or a selectable link. 14. A computer readable medium having embodied thereon a program, the program being executable by a processor for performing a method for generating a personalized story for a viewing user of a social network, the method comprising: storing actions performed by one or more users of a social network; accessing relationship data for the one or more users, the relationship data specifying relationships between users in the social network; associating at least one action with at least one user to produce consolidated data, wherein the consolidated data for each of a plurality of actions identifies at least an action and a user of the social network who performed the action; identifying one or more elements associated with the consolidated data; aggregating consolidated data having one or more common elements to produce aggregated consolidated data, wherein the aggregated consolidated data identifies at least an action associated with a common element, a user of the social network who performed the action, and one or more other users of the social network who also performed an action associated with the common element; generating a story personalized for the viewing user, wherein the story comprises at least a description of the action, the user who performed the action, and the one or more other users who also performed an action associated with the common element; and sending the story for display to the viewing user. 15. The computer readable medium of claim 14, further comprising storing the generated story personalized for the users of the social network. 16. The computer readable medium of claim 14, wherein the relationship data comprises friends of the one or more users of the social network. 17. The computer readable medium of claim 14, wherein the relationship data comprises friends of the friends of the one or more users of the social network. 18. The computer readable medium of claim 14, wherein generating the story for a user comprises weighting the aggregated consolidated data by the user's affinity thereto and selecting the aggregated consolidated data based at least in part on the weighting. 19. The computer readable medium of claim 14, wherein the story comprises at least one of an image, a sound, or a selectable link.
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