On-line social search
View Patent ↗Example methods, apparatuses, or articles of manufacture are disclosed that may be implemented using one or more computing devices to facilitate or otherwise support one or more processes or operations in connection with performing information searches, such as, for example, domain-specific on-line searches using social survey-type queries.
1. A computing platform, comprising:
one or more computing devices to:
implement a social survey query using a GUI; and
electronically process a social survey query of a user to rank domain-specific content of one or more on-line social networks of said user, wherein results received in response to one or more digital signals representing said social survey query are ranked based, at least in part, on social relevance to said user.
2. The computing platform of claim 1 , wherein said one or more computing devices are additionally to:
implement said social survey query using a user-selectable toolbar.
3. The computing platform of claim 2 , wherein said one or more computing devices are additionally to:
implement said user-selectable toolbar on a social network webpage.
4. The computing platform of claim 1 , wherein said one or more computing devices are additionally to:
accept one or more status updates.
5. The computing platform of claim 1 , wherein said one or more computing devices are additionally to determine said social relevance based, at least in part, on explicit social relevance to said user; implicit social relevance to said user; or any combination thereof.
6. The computing platform of claim 5 , wherein said one or more computing devices are additionally to determine said social relevance based, at least in part, on a current location of said user.
7. A method comprising:
electronically processing by a server a social survey query of a user to rank domain-specific content of one or more on-line social networks of said user, said social survey query being implemented using an graphical user interface (GUI) to a search engine; and
wherein results received in response to one or more digital signals representing said social survey query are ranked based, at least in part, on social relevance to said user.
8. The method of claim 7 , wherein said (GUI) to said search engine comprises a user-selectable toolbar to implement said social survey query.
9. The method of claim 7 , wherein said (GUI) to said search engine is present on a webpage of a social network.
10. The method of claim 9 , wherein said webpage accepts one or more status updates from users.
11. The method of claim 7 , wherein said search engine accesses on-line social content in a listing of search results returned in response to a query.
12. The method of claim 7 , wherein said social relevance at least comprises implicit social relevance.
13. The method of claim 12 , wherein said implicit social relevance comprises a current location of a user.
14. The method of claim 13 , wherein said current location of said user is determined via a media access control (MAC) address.
15. The method of claim 7 , wherein said social relevance at least comprises explicit social relevance.
16. The method of claim 15 , wherein said explicit social relevance is associated with gender of said user.
17. An article comprising:
a non-transitory storage medium comprising machine-readable instructions stored thereon which are executable by a special purpose computing device to:
integrate a social survey query toolbar and a search engine interface resulting, at least in part, in ranking domain-specific content of one or more on-line social networks of a user, wherein results received in response to said social survey query are ranked based, at least in part, on social relevance to said user.
18. The article of claim 17 , wherein said non-transitory storage medium comprising machine-readable instructions stored thereon are additionally to:
determine implicit social relevance to said user based, at least in part, on a current location of said user.
19. The article of claim 17 , wherein said non-transitory storage medium comprising machine-readable instructions stored thereon are additionally to:
determine social relevance to said user based, at least in part, on demographics of said user.
20. The article of claim 17 , wherein said non-transitory storage medium comprising machine-readable instructions stored thereon are additionally to:
determine social relevance to said user based, at least in part, on recency of social content.