RECOMMENDATIONS MATCHING A USER'S INTERESTS

• US 20110035674A1
• Filed: 08/06/2009
• Published: 02/10/2011
• Est. Priority Date: 08/06/2009
• Status: Abandoned Application

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Bijani, Chaya, Vegunta, Vinay, Lang, Nancy, Jaggavarapu, Gopi, Chenoweth, Kathi, Banda, Ravi, Baggett, Sally
• Application Number:
  US12/537,106
• Publication Number:
  US 20110035674A1
• Time in Patent Office: Days
• US Class Current: 715/745
• CPC Class Codes: G06F 16/2457 with adaptation to user needs
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Particular embodiments generally relate to providing recommendations to users. In one example, profile information from a user is received. Profile information may be received in a section of a user'"'"'s profile, such as an areas of interest section. The profile information is used to determine content that might be of interest to the user. For example, content that is tagged with similar tags to the areas of interest is determined. A recommendation is generated for the user based on the determined content. The recommendation may be determined automatically based on the profile information without a query from the user. Recommendations may then be displayed for a user. For example, the recommendations may be displayed on a profile page in which the user has input the profile information.

Claims

1. A method comprising:

receiving profile information from a user for an organization, the profile information related to the user'"'"'s interests on a profile page for the organization;

determining content related to the profile information, the content determined to be of interest to the user based on the profile information;

generating a recommendation for the user based on the content, the recommendation being generated automatically in response to receiving the profile information from the user; and

displaying the recommendation.

2. The method of claim 1, wherein the recommendation comprises recommended content, the content being an informational source.

3. The method of claim 1, wherein the recommendation comprises one or more recommended people, the one or more recommended people being users that are determined to be of interest to the user.

4. The method of claim 1, wherein determining content comprises:

determining one or more profile tags for the profile information; and

determining tagged content that matches the one or more profile tags.

5. The method of claim 4, wherein the tagged content includes user tags for one or more users that are associated with the tagged content.

6. The method of claim 4, wherein the tagged content includes one or more informational tags for informational sources associated with the tagged content.

7. The method of claim 1, further comprising:

tagging the profile information; and

storing the tagged profile information, wherein the tagged profile information is used to provide a recommendation for another user.

8. The method of claim 6, wherein the profile information is tagged with a user identifier for the user.

9. The method of claim 1, wherein the profile comprises an area of interest where information that interested the user is received as input from the user.

10. The method of claim 1, wherein the recommendation is displayed on the profile page of the user.

11. The method of claim 1, wherein the recommendation comprises a link to the informational source, the method further comprising:

receiving a selection of the link; and

providing the informational source to the user.

12. The method of claim 1, wherein recommendation comprises a link to a second user'"'"'s profile page, the method further comprising:

receiving a selection of the link; and

displaying the profile page for the second user.

13. A computer-readable storage medium comprising encoded logic for execution by the one or more computer processors, the logic when executed is operable to:

receive profile information from a user for an organization, the profile information related to the user'"'"'s interests on a profile page for the organization;

determine content related to the profile information, the content determined to be of interest to the user based on the profile information;

generate a recommendation for the user based on the content, the recommendation being generated automatically in response to receiving the profile information from the user; and

display the recommendation.

14. The computer-readable storage medium of claim 13, wherein the recommendation comprises recommended content, the content being an informational source.

15. The computer-readable storage medium of claim 13, wherein the recommendation comprises one or more recommended people, the one or more recommended people being users that are determined to be of interest to the user.

16. The computer-readable storage medium of claim 13, wherein the logic operable to determine content comprises logic operable to:

determine one or more profile tags for the profile information; and

determine tagged content that matches the one or more profile tags.

17. The computer-readable storage medium of claim 16, wherein tagged content comprises tagged informational content and tagged users.

18. The computer-readable storage medium of claim 13, wherein the logic is further operable to:

tag the profile information; and

store the tagged profile information, wherein the tagged profile information is used to provide a recommendation for another user.

19. The computer-readable storage medium of claim 13, wherein the profile comprises an area of interest where information that interested the user is received as input from the user.

20. An apparatus comprising:

one or more computer processors; and

logic encoded in one or more computer readable storage media for execution by the one or more computer processors and when executed operable to;

receive profile information from a user for an organization, the profile information related to the user'"'"'s interests on a profile page for the organization;

determine content related to the profile information, the content determined to be of interest to the user based on the profile information;

generate a recommendation for the user based on the content, the recommendation being generated automatically in response to receiving the profile information from the user; and

display the recommendation.